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Showing 1 to 15 of 37 results Save | Export
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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
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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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Ouyang, Fan – Journal of Educational Computing Research, 2021
Sharing the same philosophy of "relations matter" with computer-supported collaborative learning (CSCL), social network analysis (SNA) has become a common methodology in the CSCL research. In this research, I use SNA methods from "relational ties," "network modes," and "integrated methods" perspectives to…
Descriptors: Social Networks, Cooperative Learning, Electronic Learning, Online Courses
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Semerci, Yusuf Can; Goularas, Dionysis – Journal of Educational Computing Research, 2021
Estimating the flow state of students in a course allows evaluating their sentimental state and the challenges they are facing. In e-learning platforms, the evaluation of flow state is a complex task because it depends on the ability to extract the parameters that better reflect the activity and effort of students. In this scope, the current study…
Descriptors: Educational Technology, Electronic Learning, Interaction, Online Courses
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Tang, Hengtao; Xing, Wanli; Pei, Bo – Journal of Educational Computing Research, 2019
Learning and participation are inseparable in online environments. To improve online learning, much effort has been devoted to encouraging online participation. However, previous research has investigated participation from a variable-based perspective, looking only for relationships between participation and other variables. Time can change and…
Descriptors: Time Factors (Learning), Electronic Learning, Data Analysis, Longitudinal Studies
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Kwon, Kyungbin; Song, Donggil; Sari, Annisa R.; Khikmatillaeva, Umida – Journal of Educational Computing Research, 2019
The purpose of this study was to investigate the types of problem-solving behaviors and their effects on solution quality in an online collaborative learning context. A total of 12 preservice teachers enrolled in a computer education course participated in the study. Students in pairs, randomly assigned by the instructor, carried out a…
Descriptors: Cooperative Learning, Problem Solving, Electronic Learning, Preservice Teachers
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Perrault, Evan K. – Journal of Educational Computing Research, 2018
Despite improved spam filtering technology, phishing continues to be a prevalent threat for college students. The current study found that approximately 4-in-10 of the students surveyed (N = 462) indicate they do not know what phishing is and the threat it poses. Students also report initially overestimating their confidence to successfully…
Descriptors: Online Courses, Electronic Learning, Student Attitudes, Intention
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Liu, Sannyuya; Peng, Xian; Cheng, Hercy N. H.; Liu, Zhi; Sun, Jianwen; Yang, Chongyang – Journal of Educational Computing Research, 2019
Course reviews, which is designed as an interactive feedback channel in Massive Open Online Courses, has promoted the generation of large-scale text comments. These data, which contain not only learners' concerns, opinions and feelings toward courses, instructors, and platforms but also learners' interactions (e.g., post, reply), are generally…
Descriptors: Course Evaluation, Online Courses, Student Attitudes, Course Content
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Sanchez-Gordon, Sandra; Luján-Mora, Sergio – Journal of Educational Computing Research, 2018
There are millions of people worldwide--of all ages, conditions, backgrounds, and motivations--with significant learning needs. Unfortunately, traditional education is not efficient enough to meet these needs. That is, the available educational resources are not fully exploited to help cover the demand. There is an increasing need for large-scale…
Descriptors: Technological Advancement, Large Group Instruction, Online Courses, Technology Uses in Education
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Zhang, Huaihao; Lin, Lijia; Zhan, Yi; Ren, Youqun – Journal of Educational Computing Research, 2016
Guided by the Interactive-Constructive-Active-Passive framework, the purpose of the study was to investigate whether teaching presence would impact online learners' passive, active, constructive, and interactive engagement behaviors. A total of 218 middle-school English teachers participated in an online professional development course.…
Descriptors: Online Courses, Electronic Learning, Teacher Role, Feedback (Response)
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Alonso-Díaz, Laura; Yuste-Tosina, Rocío – Journal of Educational Computing Research, 2015
This study traces the development of a grounded theory of assessment in e-learning environments, a field in need of research to establish the parameters of an assessment that is both reliable and worthy of higher learning accreditation. Using grounded theory as a research method, we studied an e-assessment model that does not require physical…
Descriptors: Grounded Theory, Electronic Learning, Educational Assessment, Videoconferencing
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Yilmaz, Ramazan; Keser, Hafize – Journal of Educational Computing Research, 2017
The aim of the present study is to reveal the impact of the interactive environment and metacognitive support (MS) in online learning on academic achievement and transactional distance (TD). The study is designed as 2 × 2 factorial design, and both qualitative and quantitative research techniques are used. The study was carried out on 127…
Descriptors: Interaction, Metacognition, Academic Achievement, Distance Education
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MacDonald, Patrick; Ahern, Terence C. – Journal of Educational Computing Research, 2015
Technology offers new and innovative ways to deliver learning such as the Massive Open Online Courses (MOOCs). The MOOC offers institutes of higher education a potential delivery method for delivering online learning. This study utilized a qualitative method to gather and analyze an active observer's experience within a MOOC. The results aligned…
Descriptors: Delivery Systems, Online Courses, Electronic Learning, Open Education
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Xie, Kui; Huang, Kun – Journal of Educational Computing Research, 2014
Epistemic and learning beliefs were found to affect college students' cognitive engagement and study strategies, as well as motivation in classroom settings. However, the relationships between epistemic and learning beliefs, motivation, learning perception, and students' actual learning participation in asynchronous online settings have been…
Descriptors: Student Attitudes, Beliefs, Learning Motivation, Asynchronous Communication
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Thompson, Meredith Myra; Braude, Eric John – Journal of Educational Computing Research, 2016
The assessment of learning in large online courses requires tools that are valid, reliable, easy to administer, and can be automatically scored. We have evaluated an online assessment and learning tool called Knowledge Assembly, or Knowla. Knowla measures a student's knowledge in a particular subject by having the student assemble a set of…
Descriptors: Computer Assisted Testing, Teaching Methods, Online Courses, Critical Thinking
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