TY - JOUR
T1 - A Learner Model Integrating Cognitive and Metacognitive and Its Application on Scratch Programming Projects
AU - Jing, Sifeng
AU - Tang, Ying
AU - Liu, Xiwei
AU - Gong, Xiaoyan
N1 - Publisher Copyright:
© 2020 Elsevier B.V.. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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U2 - 10.1016/j.ifacol.2021.04.154
DO - 10.1016/j.ifacol.2021.04.154
M3 - Conference article
AN - SCOPUS:85107870373
SN - 2405-8963
VL - 53
SP - 644
EP - 649
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
IS - 5
T2 - 3rd IFAC Workshop on Cyber-Physical and Human Systems, CPHS 2020
Y2 - 3 December 2020 through 5 December 2020
ER -