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Yu-Hung Chiang; Yu-Chen Su; Wei-Tsong Wang; Tien-Chi Huang – Journal of Educational Computing Research, 2025
As big data and artificial intelligence become integral to business decision-making, business management students require proficiency in data science and big data. However, the use of instructional technologies, such as augmented reality (AR) and mind mapping to teach these subjects is limited. This study introduces an innovative pedagogical model…
Descriptors: Business Education, College Students, Foreign Countries, Data
Hsu, Wen-Chin; Gainsburg, Julie – Journal of Educational Computing Research, 2021
Block-based programming languages (BBLs) have been proposed as a way to prepare students for learning to program in more sophisticated, text-based languages, such as Java. Hybrid BBLs add the ability to view and edit the block commands in auto-generated, text-based code. We compared the use of a non-hybrid BBL (Scratch), a hybrid BBL (Pencil…
Descriptors: Computer Science Education, Introductory Courses, Teaching Methods, Student Attitudes
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
Lin, Lu-Fang – Journal of Educational Computing Research, 2018
This study incorporated the problem-based learning (PBL) approach into a web-based English reading course. The purpose of the study was to examine the impact of PBL on the participants' English reading comprehension (RC) and to explore the participants' perceptions of PBL. The present study conducted a comparison of two teaching methods. Two…
Descriptors: Teaching Methods, Problem Based Learning, Web Based Instruction, English (Second Language)
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
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
Chew, Chiou Sheng; Wu, Wen-Chi Vivian; Idris, Norisma; Loh, Er Fu; Chua, Yan Piaw – Journal of Educational Computing Research, 2020
The purpose of this study was to design and develop a theory-based summary writing online tool, named Summary Writing-Pal (SW-PAL), to assist English as a second language students in improving their summary writing. It also evaluates the effectiveness of SW-PAL in enhancing the students' summary writing performance and examines their perceptions…
Descriptors: Writing Skills, Writing Instruction, English Language Learners, College Students
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
Purgina, Marina; Mozgovoy, Maxim; Blake, John – Journal of Educational Computing Research, 2020
Gamification of language learning is a clear trend of recent years. Widespread use of smartphones and the rise of mobile gaming as a popular leisure activity contribute to the popularity of gamification, as application developers can rely on an unprecedented reach of their products and expect acceptance of game-like elements by the users. In terms…
Descriptors: Computer Games, Computer Simulation, Grammar, Computer Software
MacLeod, Jason; Yang, Harrison Hao; Zhu, Sha; Shi, Yinghui – Journal of Educational Computing Research, 2018
In an effort to address student engagement challenges, much research has explored student-to-student connected classroom climate (CCC). Research positively associates CCC to the benefits of student integration, learning, and retention in face-to-face environments. However, few studies have examined CCC in computer-mediated environments. This study…
Descriptors: Classroom Environment, Computer Networks, Computer Software, Computer Mediated Communication
Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
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
Chen, Hsiu-Ling; Vicki Widarso, Gracia; Sutrisno, Hendri – Journal of Educational Computing Research, 2020
ChatBot has potential as a language learning tool, especially for learning Chinese vocabulary. This study aimed to investigate the impact of using a newly developed ChatBot to learn Chinese vocabulary by comparing how it works in different learning environments and to explore the ChatBot with reference to the Technology Acceptance Model (TAM).…
Descriptors: Computer Mediated Communication, Computer Assisted Instruction, Chinese, Vocabulary Development
Song, Yanjie; Kong, Siu-Cheung – Journal of Educational Computing Research, 2017
The study aims at investigating university students' acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a…
Descriptors: Academic Achievement, Technology Uses in Education, Statistics, College Students
Contreras-Higuera, Williams E.; Martínez-Olmo, Francesc; Rubio-Hurtado, M. José; Vilà-Baños, Ruth – Journal of Educational Computing Research, 2016
This article presents a study with a twofold research aim: (a) to ascertain university students' perceptions on two combined assessment tools (e-portfolios and formative rubrics) and (b) to identify if among students there were differing perceptions on the use of e-portfolios, and what factors favored acceptance of these. The data gathering method…
Descriptors: College Students, Portfolios (Background Materials), Internet, Student Attitudes