The diversity of contemporary online learning cohorts requires learning experiences that are designed for high engagement but are flexible and adaptive to the needs of autonomous learners. Adaptivity in learning design, online teaching and student support has been made possible by technologies providing timely data on learners’ knowledge, perceptions and study behaviour. Alongside this, flexibility in the timing and mode of engagement with teachers, peers and learning content, and data driven feedback on study approaches can promote agile and personalised learning experiences.
Example strategies for Flexible & Adaptive Learning include:
- Adapting Learning Resources
- Adapting Teaching Strategies
- Adaptive Release LEF
- Choice Within Assessments
- Creating Individualised Learning Pathways
- Using Data to Connect Students with Services new
- Extra Markers & Moderation LEF
- Individualised Tasks LEF
- Adaptive Lessons new
- Flexible Assessment Timeframes new
- Open submission LEF
- Pre-Prepared Responses LEF
- Prescribed Window of Submission LEF
- Rubrics LEF
- Semi Automated Marking LEF
- Staggered Submission LEF