Extracting Stages of Learning Habits from Year-Long Self-Directed Extensive Reading Logs

Bibliographic Details
Title: Extracting Stages of Learning Habits from Year-Long Self-Directed Extensive Reading Logs
Language: English
Authors: Chia-Yu Hsu, Izumi Horikoshi, Rwitajit Majumdar, Hiroaki Ogata
Source: Educational Technology & Society. 2024 27(3):134-146.
Availability: International Forum of Educational Technology & Society. Available from: National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 64002. e-mail: journal.ets@gmail.com; Web site: https://www.j-ets.net/
Peer Reviewed: Y
Page Count: 13
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Education Level: Junior High Schools
Middle Schools
Secondary Education
Descriptors: Habit Formation, Behavior Change, Learning Analytics, Data Interpretation, Learning Processes, Self Management, Reading, Junior High Schools, Foreign Countries, Learning Activities, Lifelong Learning, Models, Reading Habits
Geographic Terms: Japan
DOI: 10.30191/ETS.202407_27(3).RP08
ISSN: 1176-3647
1436-4522
Abstract: This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive reading to demonstrate the process of building learning habits. We uncover the various stages (i.e., the precontemplation, contemplation, preparation, action, and maintenance stage) that learners underwent, and different proportions of the maximum stage that they achieved during an 11-month, self-directed, extensive reading program-implemented in a Japanese junior high school. This study contributes to realizing a method to evaluate the learning process, by tracing the stages of learning habits in long-term, and continuous learning activities. Further, this study can help guide the development of evidence-based educational interventions to support the building of lifelong learning habits and self-directed learning, using data-driven methods.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1437494
Database: ERIC
More Details
ISSN:1176-3647
1436-4522
DOI:10.30191/ETS.202407_27(3).RP08
Published in:Educational Technology & Society
Language:English