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Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
Sun, Z.; Liu, R.; Luo, L.; Wu, M.; Shi, C. – Journal of Computer Assisted Learning, 2017
The use of new technology encouraged exploration of the effectiveness and difference of collaborative learning in blended learning environments. This study investigated the social interactive network of students, level of knowledge building and perception level on usefulness in online and mobile collaborative learning environments in higher…
Descriptors: Cooperative Learning, Blended Learning, Social Networks, Network Analysis
Wang, Y.-H. – Journal of Computer Assisted Learning, 2017
This study aimed to explore whether integrating augmented reality (AR) techniques could support a software editing course and to examine the different learning effects for students using online-based and AR-based blended learning strategies. The researcher adopted a comparative research approach with a total of 103 college students participating…
Descriptors: College Students, Computer Software, Computer System Design, Blended Learning
Novakovich, J. – Journal of Computer Assisted Learning, 2016
The introduction of digital literacy practices has created a tension in academia, with many academics challenging the view that critical thinking can be fostered on social networks. A quasi-experimental study was conducted on two sections of university-level writing classrooms to determine if there were meaningful differences in the quality of…
Descriptors: Critical Thinking, Reflection, Student Journals, Electronic Journals
Wojcikowski, K.; Brownie, S. – Journal of Computer Assisted Learning, 2013
Problem-based learning can be an effective tool to develop clinical reasoning skills. However, it traditionally takes place in tutorial groups, giving students little flexibility in how and when they learn. This pilot study compared the effectiveness of generic reflective feedback (GRF) with tutorial-based reflective feedback on the development of…
Descriptors: Foreign Countries, Problem Based Learning, Instructional Effectiveness, Thinking Skills
Xiao, Wenqi; Park, Moonyoung – International Journal of Computer-Assisted Language Learning and Teaching, 2021
With the advancement of automatic speech recognition (ASR) technology, ASR-based pronunciation assessment can diagnose learners' pronunciation problems. Meanwhile, ASR-based pronunciation training allows more opportunities for pronunciation practice. This study aims to investigate the effectiveness of ASR technology in diagnosing English…
Descriptors: Automation, Computer Software, Handheld Devices, Diagnostic Tests
Valtonen, T.; Havu-Nuutinen, S.; Dillon, P.; Vesisenaho, M. – Journal of Computer Assisted Learning, 2011
This paper reports a case study for developing lecture teaching in higher education by connecting simultaneously the benefits of face-to-face teaching and social software for capturing and sharing students' lecture notes. The study was conducted with 12 university students taking a degree course on pre-primary education. Data were collected on (1)…
Descriptors: Discourse Analysis, Content Analysis, Lecture Method, Cooperation
Wu, Shaoqun; Fitzgerald, Alannah; Yu, Alex; Witten, Ian – International Journal of Computer-Assisted Language Learning and Teaching, 2019
Learning collocations is one of the most challenging aspects of language learning as there are literally hundreds of thousands of possibilities for combining words. Corpus consultation with concordancers has been recognized in the literature as an established way for language learners to study and explore collocations at their own pace and in…
Descriptors: Phrase Structure, Computational Linguistics, Indexes, English (Second Language)
Caruso, Marinella; Fraschini, Nicola; Kuuse, Sabine – International Journal of Computer-Assisted Language Learning and Teaching, 2019
Feedback is one of the most important influences on second language learning. While much research has been undertaken in the field of corrective feedback, the study of student engagement with feedback in languages remains understudied. This article addresses the need for more interactive, effective and time-saving feedback, achieving more student…
Descriptors: Feedback (Response), Learner Engagement, Second Language Learning, Higher Education
Lesnov, Roman Olegovich – International Journal of Computer-Assisted Language Learning and Teaching, 2018
This article compares second language test-takers' performance on an academic listening test in an audio-only mode versus an audio-video mode. A new method of classifying video-based visuals was developed and piloted, which used L2 expert opinions to place the video on a continuum from being content-deficient (not helpful for answering…
Descriptors: Second Language Learning, Second Language Instruction, Video Technology, Classification
Trentin, G. – Journal of Computer Assisted Learning, 2009
One critical issue arising in the educational use of collaborative learning concerns the teacher's difficulty in evaluating the contribution and participation of each student in group-work. This article aims to illustrate and discuss a methodology that enables evaluation of the collaborative learning process based on co-writing in a wiki…
Descriptors: Evaluation Methods, Student Evaluation, Cooperative Learning, Electronic Learning