Learning analytics in ubiquitous learning environments

Self-regulated learning perspective

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This research aims to investigate the relationship between self-regulated learning awareness, learning behaviors, and learning performance in ubiquitous learning environments. In order to do so, psychometric data about self-regulated learning and log data such as marker, annotation, accessing device types that stored the learning management system were collected and analyzed using multiple regression analysis with stepwise method. The results indicated that self-efficacy, internal value, and the number of read slides had a significant influence on the final score, and the awareness of cognitive learning strategy use has slightly significant power to predict the final score.

Original languageEnglish
Title of host publicationICCE 2016 - 24th International Conference on Computers in Education
Subtitle of host publicationThink Global Act Local - Main Conference Proceedings
PublisherAsia-Pacific Society for Computers in Education
Pages306-314
Number of pages9
ISBN (Electronic)9789868473577
Publication statusPublished - Jan 1 2016
Event24th International Conference on Computers in Education, ICCE 2016 - Mumbai, India
Duration: Nov 28 2016Dec 2 2016

Other

Other24th International Conference on Computers in Education, ICCE 2016
CountryIndia
CityMumbai
Period11/28/1612/2/16

Fingerprint

Regression analysis
learning environment
learning
cognitive learning
learning behavior
learning performance
learning strategy
psychometrics
self-efficacy
regression analysis
management
Values

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Education
  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Yamada, M., Okubo, F., Terai, M., Shimada, A., Kentaro, K., & Ogata, H. (2016). Learning analytics in ubiquitous learning environments: Self-regulated learning perspective. In ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings (pp. 306-314). Asia-Pacific Society for Computers in Education.

Learning analytics in ubiquitous learning environments : Self-regulated learning perspective. / Yamada, Masanori; Okubo, Fumiya; Terai, Misato; Shimada, Atsushi; Kentaro, Kojima; Ogata, Hiroaki.

ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings. Asia-Pacific Society for Computers in Education, 2016. p. 306-314.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yamada, M, Okubo, F, Terai, M, Shimada, A, Kentaro, K & Ogata, H 2016, Learning analytics in ubiquitous learning environments: Self-regulated learning perspective. in ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings. Asia-Pacific Society for Computers in Education, pp. 306-314, 24th International Conference on Computers in Education, ICCE 2016, Mumbai, India, 11/28/16.
Yamada M, Okubo F, Terai M, Shimada A, Kentaro K, Ogata H. Learning analytics in ubiquitous learning environments: Self-regulated learning perspective. In ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings. Asia-Pacific Society for Computers in Education. 2016. p. 306-314
Yamada, Masanori ; Okubo, Fumiya ; Terai, Misato ; Shimada, Atsushi ; Kentaro, Kojima ; Ogata, Hiroaki. / Learning analytics in ubiquitous learning environments : Self-regulated learning perspective. ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings. Asia-Pacific Society for Computers in Education, 2016. pp. 306-314
@inproceedings{40fb309de6d74b9983d11fc950988f47,
title = "Learning analytics in ubiquitous learning environments: Self-regulated learning perspective",
abstract = "This research aims to investigate the relationship between self-regulated learning awareness, learning behaviors, and learning performance in ubiquitous learning environments. In order to do so, psychometric data about self-regulated learning and log data such as marker, annotation, accessing device types that stored the learning management system were collected and analyzed using multiple regression analysis with stepwise method. The results indicated that self-efficacy, internal value, and the number of read slides had a significant influence on the final score, and the awareness of cognitive learning strategy use has slightly significant power to predict the final score.",
author = "Masanori Yamada and Fumiya Okubo and Misato Terai and Atsushi Shimada and Kojima Kentaro and Hiroaki Ogata",
year = "2016",
month = "1",
day = "1",
language = "English",
pages = "306--314",
booktitle = "ICCE 2016 - 24th International Conference on Computers in Education",
publisher = "Asia-Pacific Society for Computers in Education",

}

TY - GEN

T1 - Learning analytics in ubiquitous learning environments

T2 - Self-regulated learning perspective

AU - Yamada, Masanori

AU - Okubo, Fumiya

AU - Terai, Misato

AU - Shimada, Atsushi

AU - Kentaro, Kojima

AU - Ogata, Hiroaki

PY - 2016/1/1

Y1 - 2016/1/1

N2 - This research aims to investigate the relationship between self-regulated learning awareness, learning behaviors, and learning performance in ubiquitous learning environments. In order to do so, psychometric data about self-regulated learning and log data such as marker, annotation, accessing device types that stored the learning management system were collected and analyzed using multiple regression analysis with stepwise method. The results indicated that self-efficacy, internal value, and the number of read slides had a significant influence on the final score, and the awareness of cognitive learning strategy use has slightly significant power to predict the final score.

AB - This research aims to investigate the relationship between self-regulated learning awareness, learning behaviors, and learning performance in ubiquitous learning environments. In order to do so, psychometric data about self-regulated learning and log data such as marker, annotation, accessing device types that stored the learning management system were collected and analyzed using multiple regression analysis with stepwise method. The results indicated that self-efficacy, internal value, and the number of read slides had a significant influence on the final score, and the awareness of cognitive learning strategy use has slightly significant power to predict the final score.

UR - http://www.scopus.com/inward/record.url?scp=85019004454&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85019004454&partnerID=8YFLogxK

M3 - Conference contribution

SP - 306

EP - 314

BT - ICCE 2016 - 24th International Conference on Computers in Education

PB - Asia-Pacific Society for Computers in Education

ER -