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Showing 1 to 15 of 21 results Save | Export
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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
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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
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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
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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
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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)
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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
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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
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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
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Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement
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Mozgovoy, Maxim; Kakkonen, Tuomo; Cosma, Georgina – Journal of Educational Computing Research, 2010
The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to…
Descriptors: Plagiarism, Alphabets, Internet, Ethics
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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
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Priem, Jason – Journal of Educational Computing Research, 2010
The study of student error, important across many fields of educational research, has begun to attract interest in the field of e-learning, particularly in relation to usability. However, it remains unclear when errors should be avoided (as usability failures) or embraced (as learning opportunities). Many domains have benefited from taxonomies of…
Descriptors: Electronic Learning, Educational Research, Distance Education, Classification
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Hrastinski, Stefan; Keller, Christina – Journal of Educational Computing Research, 2007
This study examines the research approaches that underlie research on educational technology. A classification framework was developed and used when examining all articles published in four well-known journals between 2000 and 2004 (n = 660). The aim of the study was to contribute toward an understanding of the research approaches that…
Descriptors: Educational Technology, Research Methodology, Educational Research, Computer Uses in Education
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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
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Pea, Roy D. – Journal of Educational Computing Research, 1986
Three classes of conceptual bugs presenting obstacles to all novice programmers and not related to any specific program--parallelism, intentionality, and egocentrism--are identified and exemplified through student errors. It is suggested these bugs are rooted in students' intuitive feeling that programming languages, like humans, have intelligent,…
Descriptors: Classification, Egocentrism, Error Patterns, Intuition
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