TY - GEN
T1 - Exploratory Study on Correlations between Students' Characteristics and Effects in the Case of Online Learning on University Students
AU - Sugawara, Ryo
AU - Okuhara, Shun
AU - Fukuyama, Yuki
AU - Sato, Yoshikazu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - The failure to ensure spontaneous e-learning may not, in fact, be due to structural problems in the e-learning system itself, but may rather be attributable to a gap between the instructional design of materials provided by e-learning and the learning characteristics (approaches to learning) of students. Learning of 'Low completion rate' has been brought up as one of the teething problems of e-learning. When one does e-learning is drawing great attention anew as a problem yet to be solved. In this research, we propose, put forward, test...the hypothesis. There could be students who are not suitable to e-learning because the learning effect of e-learning varies depending on the approaches to learning as a cause of poor completion rate of students and conducted verification of this hypothesis. Verification revealed that the task fulfillment rate of e-learning varies depending on the approaches to learning, which is divided into seven categories. Outcomes of our study suggest that e-learning can produce almost no learning effect when the approaches to learning do not match the suitable e-learning instructional design. This issue from results also seems to be relevant for highlighting: 'high placement test scores are relevant to the respective constant learning characteristics over the entire period of e-learning'.
AB - The failure to ensure spontaneous e-learning may not, in fact, be due to structural problems in the e-learning system itself, but may rather be attributable to a gap between the instructional design of materials provided by e-learning and the learning characteristics (approaches to learning) of students. Learning of 'Low completion rate' has been brought up as one of the teething problems of e-learning. When one does e-learning is drawing great attention anew as a problem yet to be solved. In this research, we propose, put forward, test...the hypothesis. There could be students who are not suitable to e-learning because the learning effect of e-learning varies depending on the approaches to learning as a cause of poor completion rate of students and conducted verification of this hypothesis. Verification revealed that the task fulfillment rate of e-learning varies depending on the approaches to learning, which is divided into seven categories. Outcomes of our study suggest that e-learning can produce almost no learning effect when the approaches to learning do not match the suitable e-learning instructional design. This issue from results also seems to be relevant for highlighting: 'high placement test scores are relevant to the respective constant learning characteristics over the entire period of e-learning'.
UR - http://www.scopus.com/inward/record.url?scp=85084050871&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85084050871&partnerID=8YFLogxK
U2 - 10.1109/ICAIIC48513.2020.9065210
DO - 10.1109/ICAIIC48513.2020.9065210
M3 - Conference contribution
AN - SCOPUS:85084050871
T3 - 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
SP - 720
EP - 722
BT - 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
Y2 - 19 February 2020 through 21 February 2020
ER -