TY - GEN
T1 - Toward identification of learning skills from learning analytics approach
T2 - 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
AU - Watanabe, Hiroyuki
AU - Chen, Li
AU - Shimada, Atsushi
AU - Yamada, Masanori
N1 - Funding Information:
ACKNOWLEDGMENT This study was supported by Japan Society for the Promotion of Science(JSPS) [grant number JP19H01716,JP20H01727], and JST AIP [grant number JPMJCR19U1].
Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/8
Y1 - 2020/12/8
N2 - This study aims to identify the types of learning logs that can measure learning skills. By using the learning analytics approach, the learning process can be analyzed... Identifying learning skills from the behavioral level can be linked to students' learning behaviors and how they support their own learning...However, the skills identified from those logs were not particularly clear. Therefore, we reviewed previous studies from the databases of educational papers 'ERIC' and 'Google Scholar', linked the behaviors with the skills and identified the logs that can objectively reflect the behaviors. In this study, the learning skills that could be analyzed through learning logs were presented.
AB - This study aims to identify the types of learning logs that can measure learning skills. By using the learning analytics approach, the learning process can be analyzed... Identifying learning skills from the behavioral level can be linked to students' learning behaviors and how they support their own learning...However, the skills identified from those logs were not particularly clear. Therefore, we reviewed previous studies from the databases of educational papers 'ERIC' and 'Google Scholar', linked the behaviors with the skills and identified the logs that can objectively reflect the behaviors. In this study, the learning skills that could be analyzed through learning logs were presented.
UR - http://www.scopus.com/inward/record.url?scp=85102974230&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102974230&partnerID=8YFLogxK
U2 - 10.1109/TALE48869.2020.9368469
DO - 10.1109/TALE48869.2020.9368469
M3 - Conference contribution
AN - SCOPUS:85102974230
T3 - Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
SP - 807
EP - 812
BT - Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
A2 - Mitsuhara, Hiroyuki
A2 - Goda, Yoshiko
A2 - Ohashi, Yutato
A2 - Rodrigo, Ma. Mercedes T.
A2 - Shen, Jun
A2 - Venkatarayalu, Neelakantam
A2 - Wong, Gary
A2 - Yamada, Masanori
A2 - Chi-Un Lei, Leon
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2020 through 11 December 2020
ER -