Skip to content
Why Adaptive Learning Tools Fail in Real Classrooms episode artwork

Oct 26, 2026 9 min

Why Adaptive Learning Tools Fail in Real Classrooms

from Edtech Conversations with Fexingo: Online Learning, Schools, and Education Software Hosted by Fexingo

We dissect why adaptive learning algorithms, despite promising personalized education, often deepen achievement gaps rather than close them. Using recent data on algorithmic bias in K-12 software and the specific case of a major district abandoning its AI tutor, we explore the gap between theoretical personalization and classroom reality. Lucas and Luna break down the technical limitations of current models, the hidden costs of implementation, and what school leaders need to look for before signing another edtech contract. #EdTech #AdaptiveLearning #AIInEducation #DigitalDivide #SchoolTechnology #AlgorithmicBias #K12Education #HigherEducation #FexingoBusiness #BusinessPodcast #EdTechStartups #LearningAnalytics #StudentData #EducationalSoftware #TechPolicy #LucasAndLuna #EdTechFailure #FutureOfWork Keep every episode free: buymeacoffee.com/fexingo

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Why Adaptive Learning Tools Fail in Real Classrooms

0:00 9:45

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Edtech Conversations with Fexingo: Online Learning, Schools, and Education Software?

This episode is 9 minutes long.

When was this Edtech Conversations with Fexingo: Online Learning, Schools, and Education Software episode published?

This episode was published on October 26, 2026.

Can I download this Edtech Conversations with Fexingo: Online Learning, Schools, and Education Software episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.