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Showing 1 to 15 of 19 results Save | Export
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Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
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Lasfeto, Deddy Barnabas; Ulfa, Saida – Journal of Educational Computing Research, 2023
This study proposes an online learning model based on fuzzy expert systems to recommend learning contents that are most appropriate for facilitating more efficient learning. The process used two computer applications which are Matlab for fuzzy analysis and the learning management system Moodle platform for online learning environment. Besides,…
Descriptors: Learning Management Systems, Online Courses, Learning Processes, Computer Software
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Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
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Randi Proska Sandra; Wu-Yuin Hwang; Afifah Zafirah; Uun Hariyanti; Engkizar Engkizar; Ahmaddul Hadi; Ahmad Fauzan – Journal of Educational Computing Research, 2024
Argumentative writing is a fundamental aspect of undergraduate students' academic and scientific writing related to critical thinking and problem-solving skills. However, previous studies have shown that students face various difficulties with argumentative writing, such as unclear and illogical ideas, less-structured arguments, and unbalanced…
Descriptors: Persuasive Discourse, Writing (Composition), Undergraduate Students, Writing Skills
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Li Cheng; Ethan Croteau; Sami Baral; Cristina Heffernan; Neil Heffernan – Journal of Educational Computing Research, 2024
Chatbots represent a promising technology for engaging students in math learning. Guided by Jerome Bruner's constructivism and Lev Vygotsky's Zone of Proximal Development, we designed and developed a chatbot that incorporates scaffolding strategies and social-emotional considerations, and we integrated it into ASSISTments, an online math learning…
Descriptors: Artificial Intelligence, Learning Management Systems, Teaching Methods, Mathematics Instruction
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Hwang, Gwo-Jen; Tung, Li-Hsien; Fang, Jian-Wen – Journal of Educational Computing Research, 2023
Fostering students' computer programming skills has become an important educational issue in the globe. However, it remains a challenge for students to understand those abstract concepts when learning computer programming, implying the need to provide instant learning diagnosis and feedback in computer programming activities. In this study, a…
Descriptors: Programming, Thinking Skills, Problem Solving, Computer Science Education
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Imran, Hazra – Journal of Educational Computing Research, 2023
Adding gaming elements to conventional teaching methodologies has gained a lot of attention because of its ability to incorporate an engaging, motivating, and fun-based environment. As a result, learners' dedication and performance are also better. Unfortunately, current gamification models do not consider the effect of different levels of…
Descriptors: Introductory Courses, Game Based Learning, Learning Motivation, Learner Engagement
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Shaw, Ruey-Shiang – Journal of Educational Computing Research, 2019
This study focused on the relationships between knowledge mapping construction methods and learning performance. The different knowledge mapping methods (by experts vs. by self-learners) were assumed to achieve different learning performance levels. The results of this study show that neither different knowledge map construction methods nor…
Descriptors: Cognitive Style, Programming Languages, Correlation, Cognitive Mapping
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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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Kong, Siu Cheung; Li, Ping; Song, Yanjie – Journal of Educational Computing Research, 2018
This study evaluated a bilingual text-mining system, which incorporated a bilingual taxonomy of key words and provided hierarchical visualization, for understanding learner-generated text in the learning management systems through automatic identification and counting of matching key words. A class of 27 in-service teachers studied a course…
Descriptors: Visualization, Bilingualism, Taxonomy, Metadata
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Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel – Journal of Educational Computing Research, 2017
The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…
Descriptors: Cognitive Style, Computer Science Education, Management Systems, Educational Resources
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Liu, Ying-Hsiu; Kwon, Kyungbin; Johnson, LaShaune P. – Journal of Educational Computing Research, 2018
Collaboration skills have become a critical competency for health care providers. This study aims to understand how individual student characteristics and group process in the early phase of group development are associated with students' perception of their overall collaborative learning experience. The study was conducted in two consecutive…
Descriptors: Health Sciences, Undergraduate Students, Health Services, Work Experience
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Karaoglan Yilmaz, Fatma Gizem; Olpak, Yusuf Ziya; Yilmaz, Ramazan – Journal of Educational Computing Research, 2018
Flipped Classroom (FC) has become an increasingly popular model in many disciplines in today's educational system. In order for the FC model to be effective, it is important for the student to have self-regulation skills. It is especially important that students have advanced self-regulatory skills so that the online learning process of the FC…
Descriptors: Blended Learning, Teaching Methods, Metacognition, College Students
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Wu, YuLung – Journal of Educational Computing Research, 2013
The teaching system in Taiwan is currently based on large classes where teachers cannot control student situations totally. In E-Learning System, a teacher who reviews a student's learning situation must examine the students' learning records according to different items, and further organize and define the students' current learning situations,…
Descriptors: Foreign Countries, Electronic Learning, Cooperative Learning, Academic Ability
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Rodrigo, Ma. Mercedes T.; Andallaza, Thor Collin S.; Castro, Francisco Enrique Vicente G.; Armenta, Marc Lester V.; Dy, Thomas T.; Jadud, Matthew C. – Journal of Educational Computing Research, 2013
In this article we quantitatively and qualitatively analyze a sample of novice programmer compilation log data, exploring whether (or how) low-achieving, average, and high-achieving students vary in their grasp of these introductory concepts. High-achieving students self-reported having the easiest time learning the introductory programming…
Descriptors: Programming, High Achievement, Introductory Courses, Qualitative Research
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