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Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
Attention to programming education from K-12 to higher education has been growing with the aim of fostering students' programming ability. This ability involves employing appropriate algorithms and computer codes to solve problems and can be enhanced through practical learning. However, in a formal educational setting, it is challenging to provide…
Descriptors: Foreign Countries, High School Freshmen, Programming, Artificial Intelligence
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Wang, Yu-Yin; Wang, Yi-Shun – Interactive Learning Environments, 2022
While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Anxiety
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Chiu, Thomas K. F.; Meng, Helen; Chai, Ching-Sing; King, Irwin; Wong, Savio; Yam, Yeung – IEEE Transactions on Education, 2022
Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI curriculum framework. The preposttest multifactors…
Descriptors: Curriculum Development, Curriculum Evaluation, Artificial Intelligence, Foreign Countries
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Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Yu-Yin Wang – Education and Information Technologies, 2025
Considering the proliferation of artificial intelligence (AI) technologies, it has become crucial to integrate AI-related knowledge and skills education into business management curricula. This is a significant concern for both academics and practitioners. However, in the context of university business management education, few studies have…
Descriptors: Individual Differences, Intention, Artificial Intelligence, Technology Uses in Education
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Hui-Chun Chu; Yi-Chun Lu; Yun-Fang Tu – Educational Technology & Society, 2025
This study guided 97 undergraduates using generative artificial intelligence (GenAI) to conduct multimodal digital storytelling (M-DST) learning activities. Furthermore, the study examined the differences in M-DST ability and critical thinking awareness among undergraduates with different levels of learning motivation and their perceptions of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Undergraduate Students
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Ngo Cong-Lem; Tin Nghi Tran; Tat Thang Nguyen – Teaching English with Technology, 2024
This study examines the perceptions and responses of Vietnamese teachers of English as a Foreign Language (EFL) to academic integrity concerns that arise from the use of AI, specifically chatbots like ChatGPT, in foreign language education. The study employed an open-ended survey to collect data from 31 Vietnamese EFL teachers who were asked to…
Descriptors: Foreign Countries, English (Second Language), Language Teachers, Second Language Instruction
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Davy Tsz Kit Ng; Jiahong Su; Samuel Kai Wah Chu – Education and Information Technologies, 2024
Artificial intelligence (AI) education has gained popularity, and educators are developing activities to enhance students' AI literacy and promote collaboration in problem-solving. While current approaches using simulations and games can improve students' AI knowledge, they may not adequately prepare them for higher-level cognitive tasks. Only a…
Descriptors: Artificial Intelligence, Technological Literacy, Secondary School Students, Case Studies
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David James Woo; Deliang Wang; Kai Guo; Hengky Susanto – Education and Information Technologies, 2024
This mixed methods study explores EFL students' experiences and perceptions as they learn to write a composition with ChatGPT's support in a classroom instructional context. Students' perceptions are explored in terms of their motivation to learn about ChatGPT, cognitive load and satisfaction with the learning process. In a workshop format,…
Descriptors: Foreign Countries, Secondary School Students, Second Language Instruction, English (Second Language)
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Soysal, Dilek; Bani-Yaghoub, Majid; Riggers-Piehl, Tiffani A. – Pedagogical Research, 2022
The relationships between math anxiety and other variables such as students' motivation and confidence have been extensively studied. The main purpose of the present study was to employ a machine learning approach to provide a deeper understanding of variables associated with math anxiety. Specifically, we applied classification and regression…
Descriptors: Mathematics Anxiety, STEM Education, Predictor Variables, Self Esteem
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Yin, Jiaqi; Goh, Tiong-Thye; Yang, Bing; Xiaobin, Yang – Journal of Educational Computing Research, 2021
This study investigated the impact of a chatbot-based micro-learning system on students' learning motivation and performance. A quasi-experiment was conducted with 99 first-year students taking part in a basic computer course on number system conversion. The students were assigned to a traditional learning group or a chatbot-based micro-learning…
Descriptors: Educational Technology, Technology Uses in Education, Student Motivation, Academic Achievement
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Sumie Chan; Noble Lo; Alan Wong – rEFLections, 2024
This study investigates the impact of feedback generated by large language models (LLMs) on improving the essay-writing skills of first-year university students in Hong Kong. Specifically, it examines how generative AI supports students in revising their essays, enhances engagement with writing tasks, and influences their emotional responses…
Descriptors: Artificial Intelligence, Natural Language Processing, Essays, Automation
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Nozhovnik, Oleh; Harbuza, Tetiana; Teslenko, Natalia; Okhrimenko, Olena; Zalizniuk, Viktoriia; Durdas, Alla – International Journal of Educational Methodology, 2023
The purpose of this study was to examine the potential impact of integrating the Smart Sender platform to gamify and automate L2 e-classes on students' motivation, English language proficiency in reading and language use, engagement, and attitudes towards the platform. This experimental research employed a quasi-experimental design, specifically a…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Assisted Instruction
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Lin, Vivien; Liu, Gi-Zen; Chen, Nian-Shing – Computer Assisted Language Learning, 2022
The use of technology such as online software has been examined in English as a foreign language (EFL) writing contexts. However, few studies have incorporated context-aware ubiquitous technology into EFL writing instruction. To develop multimodal and digital literacy of target EFL undergraduates in this pilot project, the researchers designed and…
Descriptors: Writing Instruction, Teaching Methods, Schemata (Cognition), Second Language Learning
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Ng, Davy Tsz Kit; Chu, Samuel Kai Wah – Online Learning, 2021
In Hong Kong, after-school activities have long been used to foster friendships and to allow students to pursue their interests in an informal setting. This case study reports on a three-phase action research process in which information technology teachers delivered after-school activities focused on artificial intelligence during the COVID-19…
Descriptors: Student Motivation, Student Satisfaction, Secondary School Students, Artificial Intelligence