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Yuanyuan Yang; Rwitajit Majumdar; Huiyong Li; Brendan Flanagan; Hiroaki Ogata – Interactive Learning Environments, 2024
Self-directed learning (SDL) requires students to take initiative to learn and control their own learning process. Literature highlights the importance of SDL for lifelong learning. Yet, little understanding is known regarding how to support SDL at the school level, specifically for out-of-class learning context. To fill up this gap, this research…
Descriptors: Learning Analytics, Independent Study, Learning Processes, Reading Habits
Changhao Liang; Rwitajit Majumdar; Yuta Nakamizo; Brendan Flanagan; Hiroaki Ogata – Interactive Learning Environments, 2024
In-class group work activities are found to promote the interpersonal skills of learners. To support the teachers in facilitating such activities, we designed a learning analytics-enhanced technology framework, Group Learning Orchestration Based on Evidence (GLOBE) using data-driven approaches. In this study, we implemented the algorithmic group…
Descriptors: Algorithms, Group Dynamics, Group Activities, Learning Analytics
Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
Gutiérrez-Colón, Mar; Frumuselu, Anca Daniela; Curell, Hortènsia – Interactive Learning Environments, 2023
Mobile-assisted language learning (MALL) is a fast-developing field that is constantly growing and evolving in education. There is a lack of publications focusing on implementation studies of MALL as a means to enhance second language/foreign language (L2) reading comprehension. Building on Burston's (2013). Mobile-Assisted Language Learning: a…
Descriptors: Handheld Devices, Second Language Learning, Reading Comprehension, Program Implementation
Li, Huiyong; Majumdar, Rwitajit; Chen, Mei-Rong Alice; Yang, Yuanyuan; Ogata, Hiroaki – Interactive Learning Environments, 2023
Self-directed learning (SDL) ability, its usefulness in higher education and life-long learning have been highlighted in previous literature. However, there has been much less understanding of the effects of SDL ability in the school settings, specifically the effects on learners' SDL behaviors and processes. To address this limitation, this study…
Descriptors: Junior High School Students, Independent Study, Student Behavior, Reading Achievement
Mouri, Kousuke; Uosaki, Noriko; Hasnine, Mohammad; Shimada, Atsushi; Yin, Chengjiu; Kaneko, Keiichi; Ogata, Hiroaki – Interactive Learning Environments, 2021
This paper describes an automatic quiz generation system designed to support language learning that utilizes digital textbook logs. Learners often memorize words in digital textbooks while preparing for an examination, and they often use the highlight function for the words. Previous studies regarding annotations and highlights have shown that…
Descriptors: Computer Assisted Testing, Learning Analytics, Electronic Publishing, Textbooks
Miwa, Kazuhisa; Morita, Junya; Nakaike, Ryuichi; Terai, Hitoshi – Interactive Learning Environments, 2014
Cognitive modelling is one of the representative research methods in cognitive science. It is believed that creating cognitive models promotes learners' meta-cognitive activities such as self-monitoring and reflecting on their own cognitive processing. Preceding studies have confirmed that such meta-cognitive activities actually promote learning…
Descriptors: Metacognition, Models, Reflection, Instructional Design

Kawachi, Paul – Interactive Learning Environments, 2003
Discusses the need to initiate intrinsic motivation in Japanese students in online higher education. Presents an overview of the online education process with constructivist learning theory, including various learning interactions; and describes sub-types of personal intrinsic motivation including challenge, fantasy, and curiosity. (Contains 62…
Descriptors: Constructivism (Learning), Curiosity, Fantasy, Foreign Countries