In order to inculcate self-directed learning in our students, flipped learning pedagogy can be
used in the classroom. The skills of self-directed learning are reflected in 2.4.5 (Self-Awareness,
Metacognition and Knowledge Integration) and 2.4.6 (Lifelong Learning and Educating) of the
CDIO 2.0 syllabus. Although flipped learning can improve self-direct learning skills in students,
it can be difficult for the tutor to monitor all the students in the class with different learning
attitudes and speed. In order to assist the tutor in managing a flipped learning class, this paper
proposes a Flipped Learning Analysis in Real time (FLARET) Framework to allow a tutor in
real time to assess students’ self-directed learning readiness and how well they perform during
flipped learning lessons. The FLARET Framework aligns with the CDIO Standard 11 which
recommends the use of a variety of learning assessment methods to measure the extent to
which each student achieves specified learning outcomes. An action research is conducted
with the FLARET Framework and the findings from the action research will be presented in this
paper.
FLIPPED LEARNING ANALYTICS REAL-TIME (FLARET) FRAMEWORK FOR ASSESSING STUDENT LEARNING
Reference Text
Proceedings of the 17th International CDIO Conference, hosted on-line, Chulalongkorn University & Rajamangala University of Technology Thanyaburi, Bangkok, Thailand, June 21-23 2021 Year
2021 Authors
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12 Abstract
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