learner's cognitive and metacognitive are key personal profile for individualized teaching. To evaluate learner's comprehensive characteristics, existing learner model were reviewed. Two challenges of constructing an accurate and comprehensive learner model integrating cognitive and metacognitive were summarized. A plan of constructing a comprehensive learner model was made based on analysis of existing massive online learning environment, sensor information technology and educational data-mining. As a case study, a method of how to map learning data onto learners' cognitive and metacognitive was proposed based on an analysis of a number of pupils' Scratch projects. Three mapping table were established. Pupil's cognitive skill could be evaluated from technology shown from Scratch project, namely, data structure, algorithm, computational practices and overall evaluation. Content shown from Scratch project were used to infer pupil's cognitive style. Meta-cognitive ability can be measured from computational practices and behavior in programming process.
|Original language||English (US)|
|Number of pages||6|
|State||Published - 2020|
|Event||3rd IFAC Workshop on Cyber-Physical and Human Systems, CPHS 2020 - Beijing, China|
Duration: Dec 3 2020 → Dec 5 2020
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering