Publication Date
In 2025 | 1 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Source
Journal of Computing in… | 6 |
Author
Azevedo, Roger | 1 |
Baldwin, Matthew | 1 |
Cerezo, Rebeca | 1 |
Chango, Wilson | 1 |
Costley, Jamie | 1 |
Fanguy, Mik | 1 |
Lange, Chris | 1 |
McElligot, Annette | 1 |
Moore, Sarah | 1 |
Mücahit Öztürk | 1 |
O'Maidin, Donncha | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Information Analyses | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Audience
Location
South Korea | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Zui Cheng; Zhuo Zhang; Qian Xu; Yukiko Maeda; Peidi Gu – Journal of Computing in Higher Education, 2025
Research on academic performance in online education proliferated in the last decade; however, our current understanding of the relationship between self-regulated learning and academic performance in online learning environments remains scattered. This meta-analysis provides a holistic view of the relationship between learners' use of…
Descriptors: Meta Analysis, Independent Study, Learning Strategies, Academic Achievement
Ünal Çakiroglu; Mücahit Öztürk – Journal of Computing in Higher Education, 2024
The aim of this study is to examine the development of self-regulated learning (SRL) of university students in an EFL course via Flipped classroom through a novel measurement roadmap. Microanalytic techniques were used throughout the process rather than students' perceptions at a given moment. SRL skills scores are reported as well as sample…
Descriptors: Flipped Classroom, English (Second Language), Second Language Instruction, Self Management
Chango, Wilson; Cerezo, Rebeca; Sanchez-Santillan, Miguel; Azevedo, Roger; Romero, Cristóbal – Journal of Computing in Higher Education, 2021
The aim of this study was to predict university students' learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions,…
Descriptors: Grade Prediction, Intelligent Tutoring Systems, College Students, Data Use
Costley, Jamie; Fanguy, Mik; Lange, Chris; Baldwin, Matthew – Journal of Computing in Higher Education, 2021
Ideally, instruction should be delivered in a way that reduces the processing of information that does not contribute to learning (extraneous load) and increases cognitive processing that contributes to learning (germane load). One way students might effectively manage extraneous load is through specific video lecture viewing strategies to control…
Descriptors: Video Technology, Lecture Method, Instructional Effectiveness, Learning Strategies
Yilmaz, Ramazan; Yurdugül, Halil – Journal of Computing in Higher Education, 2018
The purpose of this study is to find out the level of cyberloafing behaviors of the students in information technologies (IT) classrooms; and to examine the relationship between cyberloafing behaviors and the psycho-social perceptions, attitudes and motivation for the courses and learning strategies. Correlational method was utilized; and…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Correlation

Moore, Sarah; O'Maidin, Donncha; McElligot, Annette – Journal of Computing in Higher Education, 2003
Explored the relationship among cognitive style, performance, gender, and communication among computer students. Found a significant relationship between performance and cognitive style; students whose cognitive style scores indicated a preference for analytical thinking had better performance scores when entering college than those with a…
Descriptors: Academic Achievement, Cognitive Style, College Students, Computer Science Education