SLOs in Action: Tracking Competency and Mastery Learning

In "The Battle Over AI in Higher Education Classrooms Is Being Fought in the Field of Student Agency," Jarek Janio explores the integration of artificial intelligence (AI) in higher education through the philosophical lens of Heidegger, emphasizing AI as a technology that reveals human values and priorities. Rather than viewing AI as a threat to traditional teaching methods and academic integrity, Janio encourages educators to reframe AI as a tool that enhances student learning and agency.Janio argues that traditional assignments focused on recalling information or reproducing existing knowledge become obsolete in an AI-driven landscape. Instead, educators should design assessments that require students to demonstrate higher-order skills such as application, synthesis, creativity, and critical thinking. This shift moves education toward meaningful skill demonstration, aligning more closely with students' real-world needs.AI technologies, including intelligent tutoring systems and adaptive learning platforms, can personalize education by tracking and visualizing students' skill development, empowering learners to see tangible evidence of their progress. Consequently, AI allows faculty to shift from being gatekeepers of content to mentors and facilitators, engaging students in deeper learning activities that foster ethical reasoning, creativity, and interdisciplinary connections.Emphasizing student agency and competency-based education, Janio highlights the importance of clearly defined learning outcomes that students find personally and professionally relevant. When students understand the practical significance of their learning, their engagement, self-efficacy, and motivation increase significantly.Ultimately, Janio positions AI as a transformative tool that can help higher education realign instructional design around competency, meaningful engagement, and student agency. Rather than fearing AI-driven disruptions, educators should leverage these technologies to enhance learning outcomes, preparing students to effectively apply their skills beyond the classroom, adapt to new challenges, and contribute thoughtfully to society.

"Nothing But Skill" by Jarek Janio argues that education should emphasize skill demonstration and competency rather than traditional metrics like grades and test scores. Janio asserts that all human interactions, particularly in classrooms, rely on observable behaviors which demonstrate underlying skills and competencies. Despite historical skepticism towards behaviorism due to its association with manipulation, the author maintains that education inherently shapes behavior, expecting students to demonstrate learning in approved ways.Faculty often focus on student behavior as indicators of learning, making inferences based solely on observable skills like communication and interaction. Thus, Janio argues, education must intentionally create environments that nurture desirable student behaviors, moving beyond superficial engagement to meaningful skill application. Ultimately, what matters most is the behavior students exhibit at course completion—what they can practically do—not just attendance or participation.Observing skill attainment is essential because skills underpin every human action, from everyday interactions to professional expertise. Educators must themselves possess strong observational and evaluative skills to effectively judge student performance, especially given potential biases or knowledge gaps due to cultural, technological, or disciplinary differences.The author critiques the higher education accountability system based on grades, asserting it inadequately represents students' true abilities. Grades alone cannot clearly indicate whether students possess practical skills such as critical analysis or application. Thus, Janio emphasizes assessments that directly observe skill demonstration, suggesting more nuanced approaches such as essays, presentations, or practical tasks.Skills and competencies, Janio stresses, must also directly relate to students' real lives, empowering them to navigate personal and professional challenges effectively. Skill application can vary significantly among individuals due to different environments, resources, and social backgrounds, highlighting the need for educators to clearly articulate expected skills and outcomes.Janio concludes by advocating for intentional teaching practices aimed at skill empowerment rather than leaving skill acquisition to chance. In today's complex world, students must be explicitly equipped with skills to handle issues like misinformation, technology use, mental health, and identity management. By prioritizing observable and relevant skill demonstration, educators can better prepare students for real-world success beyond the classroom.

"Rethinking Metrics in Higher Ed: Moving Beyond Persistence and Retention": by Jarek JanioThis article highlights a growing crisis of confidence in higher education, driven by an over-reliance on procedural metrics like retention, persistence, and graduation rates, which fail to address the fundamental question: "What do students actually learn?" While these metrics are easily quantifiable, they do not demonstrate whether students are developing essential skills or emerging as capable, adaptable thinkers. The author calls for a fundamental shift toward measuring student learning outcomes, emphasizing the need to assess competencies and align institutional priorities and funding models with fostering genuine intellectual growth. The piece also advocates for a renewed focus on faculty and a re-evaluation of traditional grading systems to ensure they better reflect actual student mastery.Limitations of Traditional Metrics and Grades Metrics such as graduation rates provide a narrow perspective, emphasizing how many students pass through the system rather than measuring their intellectual growth or mastery of skills. Similarly, grades often reflect compliance and test-taking ability rather than genuine mastery. A diploma should signify tangible readiness for a field, yet current grading practices undermine this purpose.Faculty’s Marginalization Faculty, central to the learning process, are often sidelined by institutional priorities focused on procedural outcomes or retention. This diminishes opportunities for pedagogical innovation, richer assessments, and deeper engagement with students. Administrative decisions frequently prioritize compliance over teaching quality.A New Path: Prioritizing Learning Data The article calls for redefining success in higher education through measurable learning outcomes. This requires rethinking course design, assessments, and classroom practices to prioritize skill and competency attainment. It advocates for aligning institutional policies, funding models, and resources with a commitment to improving student learning, moving beyond procedural metrics to reward genuine mastery.Empowering Faculty and Students By focusing on learning data, faculty can refine teaching methods, share best practices, and improve accountability. Students gain clarity on their progress, with a shift from grades as the ultimate goal to skill and competency attainment. Measuring learning provides graduates with evidence of their transformation, fostering transparency and trust.Conclusion The article argues for a fundamental shift in how higher education measures success. By prioritizing student learning over easily quantifiable metrics, institutions can restore public confidence, empower faculty and students, and fulfill their mission to prepare graduates for complex challenges. While these changes require a major shift in mindset, policy, and funding, they are essential for the future of higher education.

Challenging Linguistic Gatekeeping and Embracing Diverse VoicesBriefing Document: Key Takeaways from "Although I Speak ESL, I Still Have Something to Say" by Jarek Janio, ESL FacultyThis document summarizes the main themes and insights from Jarek Janio's article, which advocates for shifting the focus from rigid grammar rules to fostering inclusive communication that values diverse perspectives.Core Themes1. Linguistic Gatekeeping: Judging ESL speakers solely on grammatical accuracy marginalizes their valuable contributions and creates barriers to participation, especially in professional and academic settings."Linguistic gatekeeping occurs when language proficiency standards become rigid filters, determining who is allowed to participate in certain spaces."2. Communication Beyond Grammar: Effective communication transcends grammar, encompassing clarity of message, empathy, adaptability, cultural awareness, and active listening."Effective communication has multiple layers. It involves clarity of message, empathy, adaptability, cultural awareness, and active listening, among other skills."3. Recognizing Cultural Nuances: Cultural differences in communication styles require sensitivity from listeners to avoid misunderstandings and foster mutual respect."What may be considered polite or straightforward in one culture might be perceived as rude or ambiguous in another (Byram, 1997)."4. Role of AI Tools: AI tools like ChatGPT empower ESL speakers by reducing linguistic anxiety and enabling clearer communication, making global conversations more inclusive."Using these tools can be seen as an inclusive strategy. It assists non-native speakers in demonstrating their true level of expertise, enabling them to engage in global conversations with greater confidence (Tardy, 2016)."5. Empathy and Open-Minded Listening: Empathy and attentive listening focus on understanding the speaker's intentions rather than scrutinizing grammatical flaws, fostering trust and open dialogue."When a listener is empathetic, they pay attention to the speaker’s intentions rather than scrutinizing every grammatical structure."Key TakeawaysESL speakers offer unique perspectives that enrich communication and problem-solving.Focusing solely on grammar excludes valuable voices and stifles dialogue.Inclusive communication emphasizes understanding and mutual respect over grammatical perfection.AI tools can boost confidence and facilitate effective communication for ESL speakers.Call to ActionThe article encourages adopting a more inclusive approach to communication with ESL speakers:Practice empathetic listening: Focus on understanding the speaker’s message, not their grammar.Acknowledge cultural nuances: Adapt to diverse communication styles and cultural contexts.Promote a supportive environment: Create spaces where ESL speakers feel confident to share their ideas.Embrace AI tools as enablers: Leverage technology to reduce linguistic barriers and encourage participation.By prioritizing understanding, respect, and inclusivity, we can foster a richer and more collaborative communication landscape.

Rethinking AI and Inquiry in Higher Education: A BriefingThis briefing analyzes a blog post by Jarek Janio titled "Do Submarines Swim? Rethinking AI and Inquiry in Higher Education," published on the COACHES website. The post explores the role of AI in education, arguing that its strength lies in data processing, not human-like thinking. Janio emphasizes the crucial role of faculty in guiding students toward inquiry-based learning, utilizing AI as a tool to enhance critical thinking and problem-solving skills.Main Themes:AI as a Predictive Engine: AI excels at analyzing vast amounts of data to predict outcomes. However, it lacks the intrinsic curiosity and purpose that drive human cognition. As Chomsky's submarine analogy illustrates, AI's ability to operate in an environment (like answering questions) doesn't equate to possessing the qualities of human thought."AI’s capacity to scan data and produce seemingly coherent answers should not be confused with thinking in a human sense. Rather, these outputs are generated according to parameters set by programmers and prompted by individuals."Shifting from Answers to Inquiry: Traditional teaching often focuses on delivering fixed information. Janio argues for a learner-centered approach where students develop critical thinking and problem-solving skills by formulating their own questions and exploring real-world problems."The more impactful path lies in guiding learners to pose their own questions, especially around authentic, real-world problems that demand critical thinking and creative solutions."Faculty as Architects of Inquiry: AI doesn't replace educators; it enhances their role. Faculty become crucial in guiding students to evaluate sources, construct arguments, and develop effective inquiry strategies. They foster collaboration, mentorship, and critical engagement with AI-generated content."Educators guide students to evaluate sources, weigh competing arguments, and frame their own questions effectively, tasks that extend beyond straightforward retrieval of information."Key Ideas and Facts:AI tools like ChatGPT rely on human prompts and operate within frameworks defined by developers.Meaningful learning stems from active curiosity and student-driven inquiry.AI can be leveraged to practice critical thinking by analyzing its strengths and limitations.Faculty are essential in shaping an AI-infused learning environment that prioritizes inquiry, creativity, and problem-solving.Conclusion:Janio reframes the conversation on AI in education, urging a shift from focusing on whether AI "thinks" to how it can be used to foster inquiry and critical thinking. He advocates for a pedagogical approach where AI serves as a tool for exploration and problem-solving, with faculty guiding students towards deeper engagement with knowledge and the development of essential skills for an AI-rich world.

Making Student Learning Outcomes (SLO) Assessment Meaningful and ActionableThis briefing document summarizes key takeaways and advice from Friday SLO Talks, hosted by California Outcomes Assessment Coordinators’ Hub (COACHES), focused on making SLO assessment meaningful and actionable.Main Themes:Collaboration and Support: Engaging with colleagues and networks like COACHES is crucial for sharing ideas, strategies, and mitigating the feeling of isolation often associated with SLO work.Focus on Learning: SLOs should be approached as a tool to enhance student learning, not simply a bureaucratic requirement. The goal is to equip students with skills and knowledge that benefit them beyond the classroom.Utilizing Resources: A wide range of resources, frameworks, and tools are available to support educators in their SLO efforts, ranging from Bloom's Taxonomy to AI-driven tools.Continuous Improvement: SLO assessment is an ongoing journey that requires ongoing learning, professional development, and a willingness to adapt and evolve.Key Facts and Ideas:COACHES Resources: COACHES provides a comprehensive online platform with curated resources, AI-driven tools for communication (podcast, YouTube, social media), and recordings of Friday SLO Talks."With COACHES, we’ve established a comprehensive online presence to support educators in their SLO efforts."Annual SLO Symposium: COACHES hosts an annual SLO Symposium, attracting over 1,000 attendees nationwide, providing a platform for professional development and collaborative discussions.Additional Frameworks and Tools:Bloom's Taxonomy: Provides a framework for designing measurable learning outcomes, progressing from basic knowledge to higher-order thinking skills.AAC&U’s VALUE Rubrics: Offer detailed criteria for assessing essential learning outcomes like critical thinking, written communication, and quantitative reasoning.Learning Management Systems (LMS): Platforms like Canvas and Blackboard often include built-in tools for data collection, analysis, and reporting on student learning.National Institute for Learning Outcomes Assessment (NILOA): Provides research, tools, and best practices for improving institutional assessment processes.Advice for Newcomers to SLO Assessment:Start Small: Begin with a single course or program, defining clear and measurable outcomes before expanding to align with broader institutional goals.Collaborate: Engage with colleagues and networks like COACHES to share ideas and strategies.Leverage Technology: Utilize AI, LMS tools, and other technology to simplify data collection, analysis, and reporting.Focus on Learning: Approach SLOs as a way to enhance student learning, not just for compliance."Remember that the goal is to help students acquire skills and knowledge that will benefit them beyond the classroom."Seek Professional Development: Attend workshops, webinars, and conferences to stay informed about best practices and innovative approaches.Celebrate Progress: Recognize and share successes to build momentum and enthusiasm among faculty and staff.

Student Learning Outcomes (SLOs) in Higher EducationMain Themes:Collaboration is key: Effective SLO implementation requires collaboration between faculty, staff, administrators, accreditors, community partners, employers, and students.SLOs should be student-centered: The current approach to SLOs often prioritizes accreditation requirements over student learning experiences. A shift towards a student-centric model is crucial.Capacity building is essential: Institutions need resources and support to effectively develop, implement, and assess SLOs.Key Ideas & Facts:1. The Collaborative Ecosystem of SLOsFaculty & Staff: Design and integrate SLOs into curriculum, assess student performance, and use results to improve teaching.Administrators: Provide resources, promote accountability, and foster collaboration.Accreditors: Set standards, evaluate effectiveness, and encourage continuous improvement.Community Partners & Employers: Provide feedback on needed skills and competencies, inform curriculum design, and offer real-world opportunities.Students: Engage with SLOs, provide feedback, and demonstrate mastery."When all stakeholders contribute actively, SLOs become more than just statements—they become a shared pathway to meaningful, measurable learning that benefits individuals and society."2. The Need for Student-Centered SLOsTraditional SLO assessment cycles are often driven by accreditation requirements, leading to fragmented and potentially meaningless assessments for students.Students might only receive feedback on a limited number of skills, depending on the assessment cycle.A shift towards continuous and comprehensive assessment that informs students about their progress across all relevant skills is needed."If SLO assessment results are kept from students and are done to fulfill accreditation guidelines, then aren’t we missing the point of educating students?"3. Initiatives for Capacity Building:SLO Symposium: Evolved from a small gathering to a large-scale event fostering discussion and sharing best practices.Friday SLO Talks: Weekly virtual sessions providing a space for informal conversations and professional development around SLOs.California Outcomes Coordinators’ Hub (COACHES): A network of professionals dedicated to advancing SLO assessment and fostering collaboration."These initiatives create platforms for higher education professionals to engage in meaningful dialogue about SLOs, share best practices, and build capacity."Recommendations:Prioritize student learning: Design and implement SLO assessments that provide students with meaningful feedback on their progress.Foster collaboration: Encourage open communication and shared responsibility for SLOs among all stakeholders.Utilize resources and support: Leverage initiatives like the SLO Symposium, Friday SLO Talks, and COACHES to build capacity and share best practices.Conclusion:Moving towards a student-centered approach to SLOs requires a collaborative effort. By prioritizing student learning and utilizing available resources, institutions can ensure that SLOs are not merely bureaucratic exercises but valuable tools for improving student outcomes and achieving institutional goals.

Main Themes:The AI Revolution in EducationAI is rapidly transforming education, particularly generative AI.Students are adopting AI faster than faculty, using it as a tool for learning efficiency and understanding.Students as Early AdoptersStudents utilize AI for research, summarization, paraphrasing, drafting, and feedback generation.This positions AI as a partner for deepening understanding and improving efficiency.Faculty Adaptation and OpportunitiesFaculty adoption lags behind due to anxieties about AI, including concerns about cheating and job security.AI offers educators opportunities to personalize learning, engage students, and enhance meaningful interaction.The Future of Learning with AIAI can facilitate personalized learning, adaptive assessments, and immersive experiences.Both students and educators must develop AI literacy to use it critically and responsibly.AI and the Human ElementThe podcast explores the evolving definition of knowledge and the value of human skills like empathy, critical thinking, and ethical decision-making in an AI-driven world.Key Ideas and Facts:Widespread Student AdoptionA study from August 2024 found 86% of college students use AI, while faculty adoption is much lower.AI as a Learning PartnerStudents use AI for summarizing, paraphrasing, drafting, and feedback, shifting focus from information gathering to deeper understanding.Personalized Learning with AIEducators use AI to tailor assignments, quizzes, and simulations to students’ interests and learning styles.AI Tools for Enhanced LearningQuizlet's Q-Chat: Personalized practice and feedback.DALL-E: Creates visuals to explain complex concepts.Wolfram Alpha: Solves math problems and visualizes data.Grammarly: Supports writing clarity and detects plagiarism.AI Literacy as a Core SkillCritical evaluation of AI outputs, recognizing biases, understanding ethics, and making responsible decisions are essential.The Evolving Role of EducatorsAI frees educators to focus on mentorship, creativity, and human connection rather than replacing them.Key Quotes:"It’s not just about finding information anymore, it’s about processing and understanding it.""AI is helping them target their weaknesses, something traditional teaching methods often overlook.""Teaching students how to use AI responsibly is more effective than banning it.""It’s not about being better than AI, but focusing on uniquely human qualities like empathy and intuition.""AI can augment our abilities, but it can’t replace our humanity.""We need to equip students to be critical thinkers about AI.""The future of AI and education is something we create together."

Language of Precision in EducationMain Themes:Clarity and Precision in Teaching: Utilizing Bloom's Taxonomy verbs to transform ambiguous learning objectives into clear, measurable, and actionable goals.Universal Design for Learning (UDL): Designing instruction and assessments that are inherently accessible and inclusive to learners with diverse needs, backgrounds, and learning styles.Equity in Education: Ensuring equitable access to learning opportunities and fostering a sense of belonging and achievement for all students.Most Important Ideas/Facts:Bloom's Taxonomy as a Tool for Clarity: Bloom's Taxonomy provides a framework for classifying educational objectives into six cognitive levels: remembering, understanding, applying, analyzing, evaluating, and creating. Using the associated verbs for each level helps teachers articulate specific and measurable expectations for student learning.UDL and Bloom's Taxonomy Synergy: Combining UDL principles with Bloom's Taxonomy creates a powerful framework for designing inclusive learning experiences. This means providing:Multiple Means of Representation: Presenting information in various formats (e.g., visual, auditory, kinesthetic) to cater to diverse learning preferences.Multiple Means of Engagement: Offering varied activities and learning contexts that cater to different interests and motivations.Multiple Means of Action and Expression: Allowing students to demonstrate their learning in diverse ways (e.g., written, oral, multimedia).Equity Through Inclusive Design: UDL and Bloom's Taxonomy help address equity concerns by proactively designing learning environments that anticipate and accommodate diverse needs. This ensures that all students have an equal opportunity to access and engage with the curriculum.Key Quotes:"Incorporating Bloom’s Taxonomy verbs into teaching practices transforms ambiguity into clarity, empowering teachers to communicate expectations, assess learning, and engage students more effectively." This quote highlights the transformative potential of Bloom's Taxonomy in promoting clear communication and effective teaching."When paired with Bloom’s Taxonomy, UDL provides a framework for developing objectives, assessments, and activities that meet students where they are and guide them toward meaningful learning outcomes." This emphasizes the synergistic relationship between UDL and Bloom's Taxonomy in designing effective and inclusive learning experiences."This objective is designed with multiple means of representation (e.g., creating models), engagement (e.g., connecting learning to real-world applications), and action/expression (e.g., allowing students to demonstrate their understanding in diverse ways). It also ensures equitable access by providing clarity and flexibility, accommodating different learning styles and abilities." This quote illustrates how the principles of UDL and Bloom's Taxonomy can be applied in practice to create specific, measurable, and inclusive learning objectives.Conclusion:The intersection of Bloom's Taxonomy, UDL, and equity principles offers a powerful approach to transforming teaching practices. By embracing this framework, educators can create learning environments that are clear, engaging, accessible, and equitable, empowering all students to achieve meaningful learning outcomes.

Making Thinking Visible in EducationMain Themes:The need for measurable learning outcomes: Educational objectives must be specific and observable to be effectively taught and assessed.Translating thinking into action: Cognitive processes like "critical thinking" must be broken down into concrete skills and demonstrated through observable actions or outputs.The power of Bloom's Taxonomy: Utilizing Bloom's Taxonomy verbs helps define measurable learning outcomes and encourages students to reflect on their learning process more deeply.Moving beyond "I don't understand": Empowering students to articulate their learning challenges using specific language can lead to more effective learning and teaching.Most Important Ideas and Facts:Problem: Vague phrases like "demonstrate the ability to think critically" or "students will think critically" are not measurable and therefore difficult to assess.Solution:Define the thinking process: Break down complex cognitive skills (like critical thinking) into specific components (e.g., analyzing arguments, evaluating evidence).Use observable verbs from Bloom's Taxonomy: Choose action verbs that align with the desired thinking skills (e.g., analyze, evaluate, create).Design assessments that showcase thinking: Create assignments that require students to demonstrate their thinking through observable outputs (e.g., essays, presentations, debates).Quote: "Instead of vague outcomes like 'students will think critically,' use precise, measurable objectives tied to specific skills and outputs. This ensures that critical thinking can be effectively taught, assessed, and demonstrated in educational practice."Problem: The common student phrase "I don't understand" is ambiguous and hinders effective communication between teachers and students.Solution: Encourage students to use Bloom's Taxonomy verbs to articulate their learning challenges:Instead of "I don't understand," students can say: "I can't see a link between these two examples." (Analysis)Instead of "I don't understand," students can say: "I don't know how I could apply this in practice." (Application)Instead of "I don't understand," students can say: "What should I do better next time?" (Evaluation)Benefits of using Bloom's Taxonomy language:For students: Promotes self-reflection and metacognition.Helps pinpoint specific areas of confusion.Encourages active engagement in the learning process.For teachers: Provides clearer insight into student understanding.Allows for targeted instruction and support.Facilitates more productive teacher-student dialogue.Overall Takeaway: By intentionally incorporating Bloom's Taxonomy into learning objectives and classroom communication, educators can foster a more measurable, reflective, and effective learning environment for both themselves and their students.

"Grades as the Goal vs. Mastery of Learning: Lessons from Friday SLO Talks"The integration of AI tools like ChatGPT into education is spotlighting the limitations of grade-centric learning. While AI offers significant benefits, it exacerbates the existing problem of prioritizing grades over genuine mastery, necessitating a shift toward competency-based assessment.Key Themes1. Grades as a Flawed Metric Grades have long been the dominant measure of success in education, but this reliance undermines true learning. Students are incentivized to focus on achieving high marks rather than deeply engaging with and applying knowledge. As one analogy highlights, “keeping track of student attendance as an assurance of student learning is like measuring the weight of a cookbook to determine how much someone has learned about cooking.”2. AI Amplifies the Issue AI tools enable students to produce polished work with minimal engagement, reinforcing grades as the ultimate goal while bypassing intellectual development. This raises the stakes for reassessing how learning is evaluated.3. The Case for Competency-Based Assessment Shifting from output-focused evaluations to competency-based assessments offers a better measure of student growth. These assessments evaluate skills such as critical thinking, problem-solving, and the ability to apply knowledge in real-world contexts, emphasizing depth and process over final products.4. Faculty’s Role in Driving Change Educators are key to redefining success in education. They must design assessments that differentiate genuine understanding from AI-assisted output and create environments where learning is driven by curiosity and intrinsic motivation rather than grades.5. AI as a Partner in Learning Rather than treating AI as a threat, educators can reframe its role as a collaborative tool. AI can support brainstorming, critiquing work, and exploring diverse problem-solving methods, enriching the learning process.Proposed StrategiesCompetency-Based Assessment: Develop assessments that emphasize the application of knowledge and demonstration of skills rather than traditional exams and assignments.Process-Oriented Learning: Incorporate reflective practices such as journals, peer reviews, and iterative submissions to evaluate the learning journey.Promoting Intrinsic Motivation: Engage students with real-world applications and meaningful connections, ensuring that learning itself becomes the reward.Responsible AI Use: Encourage students to use AI for exploration and skill enhancement, fostering deeper engagement and understanding.Notable Quotes“John Dewey, in Democracy and Education (1916), argued for an educational approach grounded in experiential learning and problem-solving.”“David Boud and colleagues, in Rethinking Assessment in Higher Education (2007), critique traditional assessment systems for promoting shallow engagement.”“Keeping track of student attendance as an assurance of student learning is like measuring the weight of a cookbook to determine how much someone has learned about cooking.”ConclusionThe rise of AI in education calls for a reevaluation of traditional grading systems. Competency-based learning, process-oriented assessments, and the responsible use of AI can shift the focus from grades to skill mastery. By promoting intrinsic motivation and prioritizing meaningful learning, educators can better prepare students for the challenges of the AI age. Initiatives like Friday SLO Talks play a vital role in advancing this paradigm shift, fostering discussions that redefine educational success.

Rethinking Grading in the AI Era: Prioritizing Learning Over MetricsThe growing use of AI tools in education, such as ChatGPT, is revealing fundamental flaws in traditional grading systems that emphasize quantifiable metrics over genuine learning. This shift calls for a systemic realignment of assessment practices to better reflect meaningful student learning outcomes (SLOs).Key Insights1. The Disconnect Between Grades and Learning: Traditional grading systems focus on measurable outputs like test scores, attendance, and assignment completion. While these metrics offer a surface-level indication of participation, they fail to capture deeper aspects of learning, such as critical thinking, problem-solving, and the application of knowledge. Grades often reward outcomes rather than the intellectual processes behind them, encouraging a transactional approach to education.2. The Impact of AI on Assessment: AI tools make it easier for students to complete assignments without demonstrating genuine understanding. This exposes the inadequacy of traditional assessments, as faculty struggle to differentiate between authentic student work and AI-assisted submissions. The situation highlights the need for assessments that evaluate the depth of intellectual engagement, not just surface-level outcomes.3. Challenges Faced by Faculty: Educators encounter multiple obstacles, including:The limitations of traditional assessment tools in measuring true learning.Time constraints that hinder the implementation of process-oriented evaluations.Institutional pressures to maintain high grades and retention rates, often at the expense of deeper learning.4. Proposed Solutions: The document outlines several strategies for aligning assessments with genuine learning:Process-Oriented Assessments: Evaluate learning through iterative processes like drafts, journals, and peer reviews to capture intellectual growth.Competency-Based Grading: Shift from final grades to assessing specific skills and competencies, offering a clearer picture of student capabilities.SLO Integration: Align grades with well-defined SLOs to ensure assessments measure meaningful learning outcomes.Leveraging AI for Learning: Encourage students to use AI as a collaborative tool for brainstorming, refining ideas, and deepening their understanding, transforming AI from a perceived threat into an educational asset.5. The Need for Systemic Change: The document emphasizes that the misalignment between grading and learning is a systemic issue requiring institutional reform. Key recommendations include:Advocating for funding models that prioritize skill development over performance metrics.Fostering an educational culture that values mastery and intellectual engagement over grades.Key Quotes“Grades reward outcomes, not processes.”“AI tools have made it easier than ever for students to meet surface-level requirements, leaving faculty to grapple with authentic assessment.”“Higher education must shift its focus from traditional performance metrics to a more holistic understanding of student success.”TakeawayThe rise of AI in education underscores the urgency of rethinking traditional grading systems. By adopting process-oriented assessments, competency-based grading, and leveraging AI as a learning tool, institutions can align grades with genuine learning. This shift is essential to prepare students for a future where critical thinking, problem-solving, and adaptability are paramount.

Rethinking Education in the Age of Artificial IntelligenceAI Enables Students to Shortcut the Learning Process discussion from Friday SLO Talks.Main Themes:The Erosion of Authentic Learning: AI tools like ChatGPT allow students to circumvent the traditional learning process, completing assignments without genuine engagement or understanding. This "shortcut" mentality prioritizes grades over intellectual growth, mirroring existing systemic issues within education. As Alfie Kohn argues in "Punished by Rewards," grades can "strip students of their natural curiosity," incentivizing them to chase external rewards rather than develop a genuine appreciation for learning (Kohn, 1993).The Inadequacy of Traditional Assessment: Traditional methods like exams and assignments become unreliable indicators of learning in the presence of AI. As Friday SLO Talks highlights, relying on these metrics is akin to "measuring the weight of a cookbook to determine how much someone has learned about cooking." Presence and completion do not equate to mastery.The Need for a Paradigm Shift in Education: Educators must move away from superficial metrics like grades and attendance and embrace assessments that focus on competency and skill development. This requires a redefinition of learning itself, emphasizing critical thinking, problem-solving, and the process of intellectual growth.Key Ideas and Facts:AI exacerbates existing problems: The pressure to prioritize grades over learning, as explored by Susan Blum in "I Love Learning; I Hate School," is amplified by AI, which offers a tempting path to "passing" without true understanding (Blum, 2016).Focus on process over product: Assessment strategies need to emphasize iterative projects, critical reflections, and performance-based tasks that demonstrate genuine engagement with the material.Cultivating intrinsic motivation: A classroom culture that values curiosity and the inherent joy of learning can help counter the allure of AI shortcuts.Call to Action:Educators and institutions must adapt to the reality of AI in education. This involves:Rethinking assessment: Develop methods that accurately measure competency and skill development, focusing on the process of learning rather than simply the end product.Fostering deeper engagement: Encourage intellectual curiosity and intrinsic motivation through innovative teaching practices and a supportive classroom environment.Embracing AI’s potential: Utilize AI thoughtfully to enhance learning experiences, rather than allowing it to become a crutch that undermines genuine intellectual growth.By embracing these changes, we can harness the power of AI to create a more meaningful and effective educational experience for all students.

Friday SLO Talks: AI and the Future of EducationThe recent Friday SLO Talks explored the integration of artificial intelligence (AI) in education, focusing on its opportunities and challenges. Central to the discussions was the need for pedagogical and systemic changes that prioritize student learning over traditional metrics.Key Themes & Insights1. AI's Dual Potential: AI tools like ChatGPT present significant opportunities:Enhanced Accessibility: AI provides students with immediate access to resources and guidance, fostering creativity and supporting independent learning, especially for those with limited access to traditional resources.Personalized Learning: AI can adapt educational content to individual needs and styles, potentially creating more effective and engaging learning experiences.However, these benefits come with challenges:Risk of Superficial Engagement: The convenience of AI-generated solutions may discourage deep learning and critical thinking.Assessment Challenges: Traditional evaluations struggle to distinguish genuine understanding from AI-assisted work, raising concerns about academic integrity and the validity of current practices.2. Rethinking Assessment in the AI Age:Limitations of Traditional Metrics: Grades, attendance, and course completion fail to capture intellectual growth. There is a growing need for assessments that measure critical thinking, problem-solving, and other essential competencies.Evolving SLOs: Student Learning Outcomes must be updated to emphasize skills and competencies necessary in a technology-driven world, shifting the focus from grades to real-world preparedness.3. Systemic Transformation:Faculty Development: Educators require training to integrate AI responsibly, ensuring it enhances intellectual engagement. Professional development programs focusing on innovative pedagogy are essential.Funding Reform: Current funding models, tied to enrollment and completion rates, do not incentivize the development of critical thinking and problem-solving skills. Advocating for funding structures that prioritize competency development is crucial.4. Aligning AI with Pedagogical Goals: AI must be intentionally integrated with clear learning objectives to develop the skills and competencies outlined in SLOs. Unfocused adoption risks undermining educational goals.Call to ActionThe discussions outlined actionable steps for the future of education:Leverage AI to enhance learning while reevaluating how success is defined and measured.Advocate for funding models that prioritize skill and competency development.Develop assessments that genuinely measure critical thinking and problem-solving.Foster a culture that values intellectual growth over traditional performance metrics.The Friday SLO Talks highlighted the transformative potential of AI in education while underscoring the need for thoughtful implementation to ensure that it supports meaningful learning and competency attainment.

Rethinking Student Success: Moving Beyond Superficial Metrics in Higher EducationThis podcast analyzes the equity implications of using proxies like course completion rates, GPAs, and graduation rates as the primary measures of student success in higher education. The podcast argues that these metrics perpetuate inequities by failing to account for the structural barriers faced by students from underrepresented backgrounds.Key Themes:Structural Barriers: Students from marginalized communities face systemic challenges like economic pressures and unequal K-12 preparation that impact their ability to succeed based on traditional metrics. These metrics fail to capture the significant progress these students make despite these hurdles."Many students from marginalized communities must work full- or part-time jobs...limiting their ability to attend classes regularly or complete courses on traditional timelines.""Students from underfunded K-12 schools often enter college needing remedial education... procedural metrics like course completion and GPAs fail to account for this progress."Misaligned Incentives: Funding models that prioritize metrics like retention and graduation rates create perverse incentives for institutions. This can lead to the exclusion of at-risk students, a lowering of academic rigor, and a deprioritization of crucial skill-building programs."Institutions may become reluctant to admit students from underrepresented backgrounds, fearing their perceived 'risk' could negatively impact metrics tied to funding.""Institutions incentivized to push students through the system quickly may neglect critical investments in skill-building programs...that would truly benefit underrepresented students."The Skills Gap: Focusing on procedural metrics neglects the development of critical skills like communication and problem-solving, skills highly valued by employers. This skills gap disproportionately affects underrepresented students, hindering their social mobility."Employers consistently report that graduates lack essential skills...This skills gap disproportionately impacts underrepresented students, who may rely on their education as a pathway out of poverty."Call to Action:The podcast advocates for a shift to equity-centered metrics that:Assess Real Progress: Measure demonstrated skill growth, competency attainment, and the application of knowledge in real-world settings.Provide Institutional Support: Incentivize investments in tutoring, mentorship, and competency-based learning focused on skill and competency attainment and tailored to the needs of marginalized students.Value Diverse Outcomes: Recognize diverse student goals beyond traditional pathways like workforce readiness or academic advancement.Conclusion:Equating superficial metrics with student success undermines the transformative potential of higher education, particularly for marginalized students. By embracing equity-centered funding models that prioritize skill and competency development, higher education can truly fulfill its promise as a driver of social mobility and empower all students to thrive.

Rethinking Higher Education Funding: A Focus on Observable OutcomesThis podcast reviews arguments for shifting higher education funding models to prioritize observable student learning outcomes (SLOs) over traditional metrics like attendance and degree attainment.The Problem: A System Misaligned with LearningCurrent higher education funding and evaluation rely on metrics that fail to answer the crucial question: "What are students actually learning?" While diplomas may indicate persistence, they don't necessarily guarantee mastery or workforce readiness. As the source states, "a diploma may reflect persistence but not necessarily mastery or readiness for the workforce." This disconnect between metrics and real-world outcomes undermines the value of higher education.The Solution: Funding Based on Skill and Competency AttainmentThe proposed solution advocates for funding models that prioritize observable student learning outcomes (SLOs). SLOs represent demonstrable skills and competencies, like problem-solving, effective communication, and the practical application of knowledge.This approach offers several advantages:Transparency: A clear link between instruction and learning outcomes is established, benefiting faculty, administrators, and students.Accountability: Institutions can showcase their effectiveness in preparing students for real-world challenges.Equity: Focusing on outcomes creates a level playing field for students from diverse backgrounds, prioritizing their abilities over traditional success markers.The source emphasizes that valuable traits like "growth mindset, grit, and habits of mind are valuable only when tied to learning outcomes. They are means to an end—not the end itself."Call to Action: Engaging StakeholdersThe document outlines a clear call to action for different stakeholders:Politicians: Policymakers must recognize that funding tied to observable learning outcomes ensures tangible results from public investment in higher education, directly addressing workforce needs and societal challenges.Students: Higher education should be about acquiring skills and knowledge for career success and societal contribution, not just obtaining a degree.Faculty: Educators should embrace SLOs to enhance their teaching practices and support student mastery by aligning instruction with measurable outcomes.General Public: Focusing on learning outcomes yields broader societal benefits, with graduates equipped to solve problems, drive innovation, and participate as active citizens.Final Reinforcement: Reclaiming Higher Education's ValueBy focusing on observable learning outcomes, we can restore faith in the value of higher education. The narrative shifts from degrees as mere credentials to education as a transformative process that empowers individuals to thrive in a rapidly changing world. "When higher education delivers clear evidence of student learning, it reclaims its relevance and appeal," argues the source.ConclusionThis approach emphasizes measurable, actionable outcomes and addresses stakeholder concerns while reinforcing the importance of skill and competency attainment as the core purpose of higher education.

The Danger of Equating Proxies with Student Success in Higher EducationThis podcast critiques the use of proxy metrics like course completion rates and GPAs as the primary indicators of student success in higher education.Main Theme: The current funding models in higher education, which rely heavily on proxy metrics, are detrimental to the true purpose of education and fail to prepare students for success in the real world.Key Arguments:Proxies Misrepresent Learning: Metrics like GPAs and diplomas do not accurately reflect the depth and quality of a student's learning. "A student may attend classes regularly, complete all assignments, and earn a degree without acquiring critical skills or competencies." This leads to a system that prioritizes superficial achievements over genuine understanding and skill development.Misaligned Incentives Undermine True Success: Tying funding to proxy metrics encourages institutions to prioritize metrics over meaningful learning experiences. "When funding is tied to these proxies, institutions face immense pressure to maximize these metrics rather than ensuring students develop the skills and knowledge necessary for success beyond the classroom." This can result in grade inflation, lowered academic rigor, and a focus on pushing students through the system rather than equipping them for real-world challenges.The Cost of Bypassing Skill and Competency Attainment: The excerpt argues that employers and society value individuals who can apply their knowledge and skills, not just those who possess degrees. "The workforce and society do not reward students for diplomas, GPAs, or attendance records. They reward individuals for their ability to apply what they have learned to solve problems, innovate, and contribute meaningfully." The current funding model perpetuates a disconnect between the skills graduates possess and those required by the workforce.Student Learning as the True Measure of Success: The true measure of student success lies in their ability to demonstrate the skills and competencies necessary to adapt and thrive in their chosen fields and in society. "True student success is not about moving through the system quickly or collecting credentials; it is about demonstrating the skills and competencies needed to adapt and excel."Shifting Funding Models Towards Learning Outcomes: The excerpt advocates for a shift in funding models away from proxies and towards assessments of student learning outcomes directly tied to competencies and skills. This would require evidence of mastery through portfolios, performance-based assessments, or real-world projects.Conclusion:The excerpt concludes that the current reliance on proxy metrics to define student success is misleading and detrimental to the integrity of higher education. To truly serve students and society, funding models must prioritize skill and competency attainment, ensuring graduates possess the tools to thrive beyond the classroom.

Performance-Based Funding in Higher Education: A Critical ReviewThis podcast examines the concept of Performance-Based Funding (PBF) in higher education, The podcast argues that while PBF aims to improve accountability and efficiency, it ultimately fails to promote authentic student learning.Key Themes & Issues:1. Misalignment of Funding Metrics with Learning Outcomes:PBF relies heavily on quantifiable metrics such as credit attainment, course completion rates, and degrees conferred. However, these metrics are criticized for failing to capture the complexities of learning and competency development.Quote: "While these indicators may suggest progress, they fail to reflect whether students are acquiring the skills and knowledge necessary for their personal and professional lives."The document emphasizes that simply completing a course or obtaining a degree doesn't guarantee mastery of the subject matter or the acquisition of essential skills.2. Prioritizing Quantity Over Quality:By tying funding to completion rates, PBF inadvertently incentivizes institutions to prioritize quantity over quality.Quote: "Colleges and universities may feel compelled to lower academic standards or inflate grades to ensure higher completion rates. This practice undermines the value of the credentials awarded and devalues the learning process itself."This focus on easily measurable outcomes can lead to the neglect of crucial skills like critical thinking, creativity, and problem-solving, which are harder to quantify but essential for student success.3. Neglecting Skill and Competency Development:The podcast argues that PBF rarely measures the attainment of practical skills and competencies that prepare students for real-world challenges.Quote: "Without mechanisms to evaluate and reward genuine learning, PBF remains disconnected from its stated goal of improving educational outcomes."This lack of focus on demonstrable skills undermines the purpose of education, which is to equip students with the necessary tools for success in their chosen fields.4. Overemphasis on Institutional Metrics:PBF systems often prioritize institutional performance over individual student development.Quote: "This approach treats learning as a byproduct rather than the core mission of higher education."This shift in focus can overlook the diverse goals of individual students, particularly those pursuing specific skills rather than a traditional degree.Conclusion:The podcast concludes that while PBF has good intentions, its current implementation relies on flawed metrics that fail to reflect genuine learning. To effectively support student learning, funding models must shift their focus from superficial measures of progress to the development of practical skills and competencies. This requires a move beyond easily quantifiable metrics and a deeper consideration of the nuances and complexities of the learning process.

Takeaways from Friday SLO Talks: The fundamental purpose of higher education should be to ensure students learn and develop the skills, competencies, and mastery necessary to thrive in their personal and professional lives. While course completion is often used as a proxy for progress, it is not synonymous with meaningful learning. Here’s why focusing on learning over mere completion is essential:1. Competency Over ComplianceCompleting a course may indicate that a student has met attendance and submission requirements, but it does not guarantee they have acquired the knowledge or skills intended by the curriculum. True success lies in whether students can apply what they've learned in real-world scenarios. For instance, a graduate in engineering should not just pass courses but demonstrate the ability to solve complex problems and design solutions.2. Observable Learning OutcomesHigher education should prioritize observable outcomes—skills students can demonstrate, competencies they can apply, and mastery they can build upon. This focus ensures that students are not merely collecting credits but genuinely growing in their fields of study.3. Relevance to Life and WorkEmployers and society demand graduates who can think critically, collaborate effectively, and solve problems innovatively. These competencies are best cultivated through intentional learning experiences, not the rote completion of courses. By centering higher education on learning, institutions align more closely with the needs of the workforce and the broader community.4. Lifelong Learning and AdaptabilityIn a world of rapid change, the ability to learn continuously is more critical than ever. When the emphasis is on learning rather than completion, students develop habits of inquiry and critical thinking that serve them throughout their lives, enabling them to adapt to new challenges and opportunities.5. Equity in OutcomesA completion-focused model risks reinforcing inequities, as students from underprivileged backgrounds may graduate without the necessary skills to succeed. A learning-focused approach ensures all students leave with the competencies they need, leveling the playing field and promoting genuine success.6. Accountability in EducationEducation systems should be accountable for what students actually learn, not just the number of diplomas awarded. When learning becomes the metric of success, institutions are driven to improve teaching, provide meaningful feedback, and support students in achieving mastery.ConclusionHigher education should not be about checking boxes or accumulating credits; it should be about fostering transformative learning experiences that equip students with the skills and knowledge they need to succeed. By shifting the focus from course completion to actual learning, we elevate the role of education as a driver of individual and societal progress.

Rethinking Higher Education Funding - Centering Student LearningCore Issue: The current higher education funding model in the United States, which prioritizes metrics like completion rates and attendance, is fundamentally misaligned with the true purpose of education: fostering student learning and preparing them for real-world challenges.Key Arguments:Disconnect Between Funding and Learning: The emphasis on superficial metrics incentivizes institutions to prioritize quotas over demonstrable learning outcomes. This "reduces education to a transactional process, stripping it of its transformative potential."Quote: "Faculty are pressured to 'pass' students to meet completion targets, while students are seen as mere contributors to apportionment."Negative Consequences: This misalignment leads to:Diminished Quality: Institutions may lower academic standards to artificially inflate completion rates, resulting in graduates who lack the necessary skills and competencies.Invisible Learning: The absence of focus on learning outcomes disincentivizes investments in effective assessment practices and innovative teaching methods.Exacerbated Inequity: Students from disadvantaged backgrounds are disproportionately affected, as they may complete courses without acquiring the skills needed for success.Ethical Imperative: The current model represents a breach of the social contract inherent in education, failing to adequately prepare individuals for meaningful lives and careers.Quote: "The unfairness of the current system lies in its failure to honor the social contract of education: to prepare individuals for meaningful lives and careers."Proposed Solutions:Funding Based on Learning Outcomes: Shift the funding model to reward institutions based on their effectiveness in helping students acquire measurable skills and competencies.Transparent and Equitable Metrics: Replace surface-level metrics with those that reflect genuine learning progress, such as mastery of core competencies, critical thinking, and problem-solving abilities. Make this data accessible to all stakeholders.Empowerment and Accountability: Faculty: Grant faculty the autonomy and resources to innovate in their teaching.Students: Involve students in discussions about their own learning.Institutions: Hold institutions accountable for producing graduates who are prepared to contribute effectively to society and the economy.Call to Action:The briefing document issues a strong call to action, urging a move away from the current system that "treats students and faculty as tools for generating revenue." It emphasizes the urgency of demanding a new model that prioritizes student learning and empowers both faculty and students.Quote: "It's time to demand a system that values what students learn over merely what they complete. Anything less is unfair, unethical, and unsustainable."

The concepts of growth mindset, habits of mind, and grit have gained traction as tools to help students navigate the challenges of higher education. These ideas emphasize teachable skills such as time management, perseverance, and self-regulation, which are important student learning outcomes.However, at many institutions, the focus remains disproportionately on metrics like student attendance, course completion, and diploma attainment, often neglecting the fundamental question: What are students actually learning?While these frameworks are useful for helping students manage resources and persist through obstacles, they must serve a larger purpose—skill and competency attainment. The ultimate goal of higher education should be to cultivate observable Student Learning Outcomes (SLOs) that demonstrate a student’s ability to apply knowledge, perform tasks, and exhibit behaviors indicative of mastery in their field of study.Without tying these attributes to measurable learning outcomes, higher education risks prioritizing survival over substantive learning. Growth mindset and grit are valuable when integrated with rigorous academic instruction that leads to genuine skill and competency attainment. But these qualities should never become ends in themselves. Instead, they must act as supports for the development of competencies that align with academic and professional standards.By focusing on learning as observable behavior—skills mastered, competencies achieved, and knowledge applied—we redirect the conversation to what truly matters: ensuring students leave higher education equipped with the capabilities and expertise to excel in their fields and contribute meaningfully to society.

Importance of Measuring Learning: The podcast advocates shifting from evaluating knowledge acquisition to assessing the development of skills and competencies. Student Learning Outcomes (SLO) assessment is portrayed as essential for ensuring students can apply their learning in real-world scenarios, thus fostering skills that extend beyond the classroom.Benefits for Stakeholders: SLO assessment is depicted as a mutually beneficial tool for students, educators, and institutions. It facilitates targeted, effective instruction, empowers students to reflect on their learning progress, and demonstrates educational value to stakeholders. This approach helps align teaching practices with measurable student learning outcomes as understood by skills and competencies. Accountability and Transparency: SLO assessment provides concrete evidence of educational impact, enhancing accountability and transparency for institutions and educators. By showcasing clear educational results, it provides stakeholders with a clear picture of program effectiveness.Key Ideas & Facts:Definition: SLO assessment evaluates the abilities students gain as a result of instruction, confirming that learning goals translate into real skills. It emphasizes competencies that are applicable beyond the classroom, ensuring students are prepared for practical challenges.Instructional Improvement: The feedback from SLO assessments allows educators to pinpoint learning gaps and adjust their teaching strategies, which can improve instructional effectiveness. This continuous adjustment helps educators meet diverse learning needs and adapt to changing educational goals.Empowering Students: By receiving feedback on their progress, students are more likely to take ownership of their learning, engage in self-reflection, and direct their educational journeys. SLO assessment fosters "personal growth, responsibility, and self-directed learning," underscoring the transformative potential of SLO assessment for student development.Relevance and Impact: SLO assessment aims to bridge the gap between academic learning and real-world applications. It ensures the learning experience remains relevant, equipping students with critical skills for their future fields. This relevance makes education a powerful tool for career preparation and personal development.Accountability: SLO assessment demonstrates educational effectiveness, offering valuable evidence to stakeholders, including parents, institutions, and policymakers. SLO assessment "offers concrete evidence of educational effectiveness," underscoring its role in maintaining institutional accountability.Key Quotes:"The assessment of student learning outcomes is essential because it provides a clear picture of what students can do as a result of instruction.""It ensures that students are not only absorbing knowledge but also developing the skills and competencies they need to succeed, making learning outcomes clear and measurable.""Effective assessment focuses on meaningful, applicable learning, equipping students with the skills and knowledge they need in their careers and lives, bridging the gap between education and practical application."SLO assessment is a fundamental aspect of effective education in creating meaningful learning experiences and preparing students for success beyond the academic environment. Through accountability, transparency, and targeted instructional improvements, SLO assessment aligns educational practices with real-world competencies, fulfilling the promise of education as a pathway to personal and professional growth.

In this episode, we introduce the essential concept of Student Learning Outcomes (SLOs), unpacking their purpose, significance, and how they stand apart from traditional grading methods. We’ll discuss how SLOs focus not on what students can memorize but on what they can actually accomplish, representing a shift from assessing abstract knowledge to evaluating real, observable skills and competencies. By the end of this episode, listeners will gain a clear understanding of how SLOs support mastery learning, ensuring that students meet specific goals and can apply their learning in practical ways. This episode sets the stage for a deeper look at how SLOs contribute to meaningful assessment and lasting skill development in education.