Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 8 |
Since 2006 (last 20 years) | 10 |
Descriptor
Source
Journal of Educational… | 12 |
Author
Publication Type
Journal Articles | 12 |
Reports - Research | 12 |
Guides - Non-Classroom | 1 |
Information Analyses | 1 |
Opinion Papers | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Elementary Education | 3 |
Elementary Secondary Education | 1 |
Grade 6 | 1 |
Secondary Education | 1 |
Audience
Researchers | 1 |
Location
Bangladesh | 1 |
Brazil | 1 |
China | 1 |
Cyprus | 1 |
Egypt | 1 |
India | 1 |
Indonesia | 1 |
Malaysia | 1 |
Mexico | 1 |
Pakistan | 1 |
Philippines | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ben-Yaacov, Anat; Hershkovitz, Arnon – Journal of Educational Computing Research, 2023
Block programming has been suggested as a way of engaging young learners with the foundations of programming and computational thinking in a syntax-free manner. Indeed, syntax errors--which form one of two broad categories of errors in programming, the other one being logic errors--are omitted while block programming. However, this does not mean…
Descriptors: Programming, Computation, Thinking Skills, Error Patterns
Aydogdu, Seyhmus – Journal of Educational Computing Research, 2021
Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…
Descriptors: Mathematical Models, Artificial Intelligence, Bayesian Statistics, Learning Processes
Abrache, Mohamed-Amine; Bendou, Abdelkrim; Cherkaoui, Chihab – Journal of Educational Computing Research, 2021
Peer assessment is a method that has shown a positive impact on learners' cognitive and metacognitive skills. It also represents an effective alternative to instructor-provided assessment within computer-based education and, particularly, in massive online learning settings such as MOOCs. Various platforms have incorporated this mechanism as an…
Descriptors: Peer Evaluation, Mathematics, Online Courses, College Students
Ali, Amira D.; Hanna, Wael K. – Journal of Educational Computing Research, 2022
With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Independent Study
Song, Yu; Lei, Shunwei; Hao, Tianyong; Lan, Zixin; Ding, Ying – Journal of Educational Computing Research, 2021
Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…
Descriptors: Semantics, Classification, Classroom Communication, Dialogs (Language)
Pham, Xuan Lam; Nguyen, Thi Huyen; Chen, Gwo Dong – Journal of Educational Computing Research, 2018
In this study, we analyzed usages behaviors of 53,825 active users from 12 countries in a mobile app called "English Practice." The data indicated that the app was used most often in the evening from 8 p.m. to 9 p.m., and especially midweek, with less use at weekends and on Mondays. Learners used the app for about 5 minutes each session…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel – Journal of Educational Computing Research, 2019
Several studies have focused on identifying the significant behavioral predictors of learning performances in web-based courses by examining the log data variables of learning management systems, including time spent on lectures, the number of assignments submitted, and so forth. However, such studies fail to quantify the impact of emotional,…
Descriptors: Predictor Variables, Correlation, Student Motivation, Metacognition
Al-Samarraie, Hosam; Ahmad, Yusof – Journal of Educational Computing Research, 2016
User interface (UI) design patterns for mobile applications provide a solution to design problems and can improve the usage experience for users. However, there is a lack of research categorizing the uses of design patterns according to users' hand dominance in a learning-based mobile UI. We classified the main design patterns for mobile…
Descriptors: Handedness, Questionnaires, Multivariate Analysis, Profiles
Louca, Loucas T.; Zacharia, Zacharias C.; Michael, Michalis; Constantinou, Constantinos P. – Journal of Educational Computing Research, 2011
The purpose of this study was to develop a framework for analyzing and evaluating student-constructed models of physical phenomena and monitoring the progress of these models. Moreover, we aimed to examine whether this framework could capture differences between models created using different computer-based modeling tools; namely, computer-based…
Descriptors: Foreign Countries, Programming, Classification, Student Evaluation
Koh, Joyce H. L.; Frick, Theodore W. – Journal of Educational Computing Research, 2009
Technology skills instruction is an important component of educational technology courses, which has been shown to raise pre-service teachers' computer self-efficacy. Computer self-efficacy, in turn, is positively related to their self-efficacy for technology integration. Studies of undergraduate technology skills instruction found that classroom…
Descriptors: Preservice Teacher Education, Preservice Teachers, Self Efficacy, Teacher Educators

Niemiec, Richard; Walberg, Herbert J. – Journal of Educational Computing Research, 1987
Critical examination of reviews of the literature on computer-assisted instruction (CAI) compares and evaluates three traditional and 13 quantitative reviews. Synthesis of the findings indicates that typical effect of CAI is to raise outcome measures by 0.42 standard deviation units, placing average students at 66th percentile of control group…
Descriptors: Classification, Comparative Analysis, Computer Assisted Instruction, Instructional Effectiveness

Peled, Zimra; And Others – Journal of Educational Computing Research, 1992
Proposes a taxonomy to aid decision makers in selecting computer software consistent with their educational values regarding the nature of instruction and the use of information technology, based on beliefs about human development and learning. Characteristics of instruction, properties of software, and the congruence between them are discussed.…
Descriptors: Algorithms, Classification, Computer Assisted Instruction, Computer Software