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Murata, Ryusuke; Okubo, Fumiya; Minematsu, Tsubasa; Taniguchi, Yuta; Shimada, Atsushi – Journal of Educational Computing Research, 2023
This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model in KD with "an RNN model with a long-term time-series in which the features during the entire course…
Descriptors: College Students, Academic Achievement, Prediction, Neurology
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Chapman, Jared R.; Kohler, Tanner B.; Gedeborg, Sam – Journal of Educational Computing Research, 2023
Research on gamification's effects in educational environments has been a growing domain in recent years. As research has demonstrated the power of gamified systems to effectively motivate learners in educational settings, it has also become clear that not all individuals are motivated in the same way, or to the same extent, by the same gamified…
Descriptors: Educational Technology, Gamification, Student Motivation, Student Attitudes
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Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
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Akbulut, Asli Y. – Journal of Educational Computing Research, 2016
The importance of role models on individuals' academic and career development and success has been widely acknowledged in the literature. The purpose of this study was to understand the influence of role models on students' decisions to major in information systems (IS). Utilizing a model derived from the social cognitive career theory, we…
Descriptors: Role Models, Information Systems, Majors (Students), Influences
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Chen, Ruey-Shin; Liu, I-Fan – Journal of Educational Computing Research, 2017
Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Student Attitudes
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Dalvi-Esfahani, Mohammad; Wai Leong, Lam; Ibrahim, Othman; Nilashi, Mehrbakhsh – Journal of Educational Computing Research, 2020
In the literature, there is a scarcity of studies investigating the factors influencing the deployment of mobile Web 2.0 (MW2.0) as pedagogical tools in higher education. The purpose of this study is to investigate the adoption of mobile Web 2.0 learning (MW2.0L) by students and further to explore their perceived learning. Accordingly, a research…
Descriptors: Student Attitudes, Web 2.0 Technologies, Telecommunications, Handheld Devices
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Huang, Xiaoxia; Mayer, Richard E. – Journal of Educational Computing Research, 2019
This study investigated the effectiveness of adding four self-efficacy features to an online statistics lesson, based on Bandura's four sources of self-efficacy information. In a randomized between-subjects experiment, participants learned statistical rules in an example-based online environment with four self-efficacy features added (treatment…
Descriptors: Self Efficacy, Online Courses, Statistics, Teaching Methods
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Raza, Syed Ali; Qazi, Wasim; Umer, Amna – Journal of Educational Computing Research, 2017
This study analyzes the influence of Facebook usage on building social capital among university students in Karachi by using a modified framework of technology acceptance model. Important information was gathered utilizing organized questionnaire containing items of Facebook intensity, social self-efficacy, perceived ease of use, perceived…
Descriptors: College Students, Social Capital, Social Media, Developing Nations
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Raza, Syed Ali; Umer, Amna; Qazi, Wasim; Makhdoom, Murk – Journal of Educational Computing Research, 2018
This study intends to analyze the influence of behavioral and psychosocial factors of higher education students of Karachi on acceptance of m-learning as a mode of getting education. The Theory of Planned Behavior and Technology Acceptance Model have provided the basic frameworks to formulate the hypotheses for this study. The analyses of the…
Descriptors: Foreign Countries, College Students, Student Attitudes, Social Influences
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Iqbal Malik, Sohail; Coldwell-Neilson, Jo – Journal of Educational Computing Research, 2017
High failure and dropout rates are reported in introductory programming (IP) courses in different studies despite extensive research attempting to address the issue. In this study, we introduced an ADRI (Approach, Deployment, Result, Improvement) approach in the teaching and learning process of an IP course to improve learning and success rates.…
Descriptors: Instructional Effectiveness, Introductory Courses, Programming, Computer Science Education
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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
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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
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Kuo, Feng-Yang; Wu, Wen-Hsiung; Lin, Cathy S. – Journal of Educational Computing Research, 2013
Today, information technology (IT) has permeated virtually every aspect of our society and the learning of software programming is becoming increasingly important to the creation and maintenance of the IT infrastructure critical to our daily life. In this article, we report the results of a study that demonstrates how the self-regulation paradigm…
Descriptors: Computer Science Education, Programming, College Students, Programming Languages
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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
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Teo, Timothy; Wong, Su Luan – Journal of Educational Computing Research, 2013
This study explored the key drivers of student teachers' e-learning satisfaction. Three hundred and eighty-seven participants completed a survey questionnaire measuring their self-reported responses to six constructs (tutor quality, perceived usefulness, perceived ease of use, course delivery, facilitating conditions, and course satisfaction).…
Descriptors: Foreign Countries, Usability, Use Studies, Technical Support
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