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Showing 1 to 15 of 51 results Save | Export
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Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
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Gawon Yun; Kewman M. Lee; Hailey Hyunjin Choi – Journal of Educational Computing Research, 2025
Scholarly interest in artificial intelligence (AI) has surged as researchers delve into its transformative impact on various aspects of our lives. AI poses both benefits and challenges, particularly in the context of educators' endeavors to comprehend the intricacies of students' learning processes. Although the use of AI to enhance and assist…
Descriptors: Student Empowerment, Bibliometrics, Artificial Intelligence, Computer Software
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Thi-Ngoc-Anh Duong; Hsiu-Ling Chen – Journal of Educational Computing Research, 2025
Writing plays a crucial role in the development of English as a Foreign Language (EFL) learners' language; however, it remains a challenging skill for them to acquire. This study investigated how EFL students at a high school in Northern Vietnam engaged with the Writing Assistant Bot (WAB), an artificial intelligence (AI) chatbot designed to…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Computer Software, Technology Uses in Education
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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
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Yu, Qing; Yu, Kun – Journal of Educational Computing Research, 2023
Body movements are regarded as part of the learning process. With the evolution of motion-sensing technology (MST) (e.g., Kinect, Xtion Pro, and Leap Motion), educational researchers try to explore the effect of MST on learning. However, the effect of MST on learning performance is still unclear. This is the first meta-analysis that aims to…
Descriptors: Human Body, Motion, Information Technology, Computer Software
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Azzeddine Boudouaia; Samia Mouas; Bochra Kouider – Journal of Educational Computing Research, 2024
The field of computer-assisted language learning has recently brought about a notable change in English as a Foreign Language (EFL) writing. Starting from October 2022, students across different academic fields have increasingly depended on ChatGPT-4 as a helpful resource for addressing particular challenges in EFL writing. This study aimed to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
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Kyza, Eleni A.; Georgiou, Yiannis; Agesilaou, Andria; Souropetsis, Markos – Journal of Educational Computing Research, 2022
There are increasing calls to introduce computational thinking in schools; the arguments in favor call upon research suggesting that even kindergarten children can successfully engage in coding. This contribution presents a cross-sectional study examining the coding practices and computational thinking of fifty-one primary school children using…
Descriptors: Case Studies, Elementary School Students, Computer Science Education, Coding
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Hwang, Wu-Yuin; Nurtantyana, Rio; Purba, Siska Wati Dewi; Hariyanti, Uun; Indrihapsari, Yuniar; Surjono, Herman Dwi – Journal of Educational Computing Research, 2023
English as Foreign Language (EFL) writing is challenging for students due to the lack of related lexical resources to inspire them for meaningful writing besides grammar feedback. Moreover, it is crucial to design personalized feedback based on students' original writings in helping to improve their writing abilities. Therefore, we developed Smart…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, English (Second Language)
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Chen-Chung Liu; Wan-Jun Chen; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Journal of Educational Computing Research, 2024
Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…
Descriptors: Reading Interests, Active Learning, Intelligent Tutoring Systems, Artificial Intelligence
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Song, Yu; Lei, Shunwei; Hao, Tianyong; Lan, Zixin; Ding, Ying – Journal of Educational Computing Research, 2021
Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…
Descriptors: Semantics, Classification, Classroom Communication, Dialogs (Language)
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Vasilopoulos, Ioannis V.; van Schaik, Paul – Journal of Educational Computing Research, 2019
This article discusses the design and implementation of a new programming tool for Greek novices as a means to improve introductory programing instruction in Greece. We implemented Koios, a new highly interactive and visual programming tool for Greek novices, based on the body of research in the field of psychology of programming. The main…
Descriptors: Novices, Programming, Computer Software, Introductory Courses
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Evers, Katerina; Chen, Sufen – Journal of Educational Computing Research, 2021
This study investigated how learning styles (visual/verbal) and the use of Automatic Speech Recognition (ASR) software affect English as a Second Language adult learners' improvement during a 12-week course focusing on pronunciation. In the control group (n = 28), the teacher corrected and gave feedback on the adult learners' pronunciation;…
Descriptors: Automation, Computer Assisted Instruction, Computer Software, Pronunciation Instruction
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Gürkan, Serkan – Journal of Educational Computing Research, 2019
The contemporary era brings technology into every part of our lives. As a result of technological improvements, education process has been affected and the use of technological devices is inevitable. Teaching language has also been affected by this movement. Thus, Mobile-Assisted Language Learning has gained importance through the recent years.…
Descriptors: Documentation, English (Second Language), Second Language Learning, Preferences
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Boldbaatar, Nomin; Sendurur, Emine – Journal of Educational Computing Research, 2019
The emergence of block-based environments aims to facilitate the problems caused by the abstractness of text-based languages. Recent studies generally focus on the effect of having block-based experience on programming education. This study is an attempt to observe the transfer of previous programming experiences (block-based vs. text-based) into…
Descriptors: Educational Games, Computer Games, Computer Simulation, Computer Software
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Neofytou, Chrystalla; Hadzilacos, Thanasis – Journal of Educational Computing Research, 2018
Viewing its use in language teaching mainly as a text corpus, this article examines the problem of the assessment of suitability of this material for use in the Greek language course in Cyprus schooling. The suitability of texts for use in language teaching is defined by four parameters, which are described in detail in this article: text…
Descriptors: Greek, Usability, Computational Linguistics, Foreign Countries
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