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Weaver, Bradley W.; Braly, Adam M.; Lane, David M. – Journal of Educational Computing Research, 2021
Phishing emails pose a serious threat to individuals and organizations. Users' ability to identify phishing emails is critical to avoid becoming victims of these attacks. The current study examined the effectiveness of a short online phishing training program designed to help users identify phishing emails. Half of the participants were in the…
Descriptors: Identification, Deception, Electronic Mail, Training
Norfarizah Mohd Bakhir; SiBo Zhou; Shu Chen; Zhou Tianlong – Journal of Educational Computing Research, 2025
This study investigates the effectiveness of digital games in arts education for learning art knowledge and enhancing art interest. Art knowledge includes the topics of art history, production, esthetics, and art criticism. A quasi-experimental approach was used in this study. A 1-month course on arts education digital games was conducted with 40…
Descriptors: College Students, Art Education, Art Appreciation, Art Criticism
Rivers, Damian J.; Nakamura, Michiko; Vallance, Michael – Journal of Educational Computing Research, 2022
As education is remodelled to online solutions, instructors and students are required to adapt their teaching and learning through different forms of monitoring, regulation and assessment. This remodelling requires conceptual and philosophical reflection relating to stakeholder roles and the relationship between learners and teaching materials…
Descriptors: Electronic Learning, Self Control, Learning Strategies, Academic Achievement
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
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
Raza, Syed A.; Qazi, Wasim; Khan, Komal Akram; Salam, Javeria – Journal of Educational Computing Research, 2021
The COVID-19 Pandemic has led to social isolation; however, with the help of technology, education can continue through this tough time. Therefore, this research attempts to explore the Unified Theory of Acceptance and Use of Technology (UTAUT) through the expansion of the model. Also, make it relevant to investigate the influence of social…
Descriptors: Social Isolation, Technology Integration, Integrated Learning Systems, Electronic Learning
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
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
Tsai, Yea-Ru; Ouyang, Chen-Sen; Chang, Yukon – Journal of Educational Computing Research, 2016
The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…
Descriptors: Engineering Education, English (Second Language), Reading Comprehension, Language Proficiency
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
Kibelloh, Mboni; Bao, Yukun – Journal of Educational Computing Research, 2014
It is a common phenomenon for many mature female international students enrolled in high education overseas to experience strain from managing conflicting roles of student and family, and difficulties of cross-cultural adjustment. The purpose of this study is to examine perceptions and behavioral intentions of international female students toward…
Descriptors: Student Attitudes, Foreign Students, Females, Electronic Learning
Teo, Timothy; Ruangrit, Nammon; Khlaisang, Jintavee; Thammetar, Thapanee; Sunphakitjumnong, Kobkul – Journal of Educational Computing Research, 2014
This study surveys the e-learning acceptance of university students in Thailand. One thousand nine hundred and eighty-one (1,981) participants completed the E-Learning Acceptance Measure (Teo, 2010) which measures three constructs that predict e-learning acceptance (tutor quality, perceived usefulness, and facilitating conditions). Data analysis…
Descriptors: Foreign Countries, Electronic Learning, College Students, Student Surveys
Huang, Ching-Ting; Yang, Shu Ching – Journal of Educational Computing Research, 2015
This study examines the effects of two types of online remedial reading interventions on the reading strategy and comprehension, motivational beliefs, and self-efficacy of 36 low-achieving students (explicit teaching before reciprocal teaching [ET-RT] vs. direct instruction [DI]). We designed a 10-unit online remedial English reading program based…
Descriptors: Reciprocal Teaching, Reading Strategies, Reading Comprehension, Self Efficacy
Tarhini, Ali; Hone, Kate; Liu, Xiaohui – Journal of Educational Computing Research, 2014
The success of an e-learning intervention depends to a considerable extent on student acceptance and use of the technology. Therefore, it has become imperative for practitioners and policymakers to understand the factors affecting the user acceptance of e-learning systems in order to enhance the students' learning experience. Based on an extended…
Descriptors: Foreign Countries, Gender Differences, Age Differences, Electronic Learning
Wu, Sheng-Yi; Hou, Huei-Tse; Hwang, Wu-Yuin; Liu, Eric Zhi-Feng – Journal of Educational Computing Research, 2013
Both asynchronous and synchronous discussions have advantages and limitations for online learning. This study conducts an empirical analysis of these discussion activities while applying the proposed Seamless Online Learning Integrated Discussion (SOLID) system, which can instantly integrate Facebook's asynchronous discussion function with the MSN…
Descriptors: Problem Solving, Active Learning, Student Projects, Student Behavior

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