Adapt e-learning platforms to distinct student engagement profiles with adaptive recommendations and guidance¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The authors recommend that online learning platforms for young learners adapt to preferred ways of engagement and guide students toward neglected components. They state "online learning platforms can be more effective tools if they can meaningfully adapt to the preferred ways of engagement of different student profiles." Examples include suggesting lesson materials based on exercise errors and pointing game-oriented learners to relevant lessons, plus recommending exercises before retaking a failed test to promote self-regulated learning.

Design Implications¶

Context¶

Requirements¶

• Platforms must incorporate guidance for students according to their engagement behaviour

Constraints¶

• The studied platform lacked such adaptivity, presenting identical content uniformly to all learners of the same grade level

Target Learners¶

• K–8 students with distinct engagement profiles

Target Learning Goals¶

• Comprehensive engagement with all platform components and self-regulated learning

Related Strategies¶

• Provide an orientation period for Grade 1 students and teacher-facing monitoring dashboards
• Use CT profiles and behavioural metrics to differentiate pre-service teacher instruction and design a learning analytics dashboard
• Deliver AI-generated visual explanations adaptively based on learner engagement profiles rather than uniformly

Examples¶

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Key Sources¶

• Er, E., Silik, S., & Cansiz, S. (2024). Uncovering Engagement Profiles of Young Learners in K–8 Education through Learning Analytics. Journal of Learning Analytics, 11(1), 101–115. https://doi.org/10.18608/jla.2024.8133