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du Preez, Hanneke; Hill, Tanya; Coetzee, Liza; Motsamai, Lungelo; Stark, Karen – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: Students completing their tertiary education at a university may be equipped with theoretical knowledge with little to no practical experience. In order to bridge this gap in practical skills, a computer simulation was developed based on the e-filing platform of the South African Revenue Services (SARS). Students were exposed to this…
Descriptors: Computer Simulation, Computer Software, Foreign Countries, Taxes
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Florence Gabriel; JohnPaul Kennedy; Rebecca Marrone; Simon Leonard – npj Science of Learning, 2025
Pragmatic, scalable and sustainable responses to persistent socio-emotional issues such as mathematics anxiety remain elusive. Artificial intelligence (AI) offers a promising approach by enhancing students' perceptions of competence, control, and value while transforming teacher-student interactions. This paper advocates for a research agenda…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
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Nicole Mills; Hannah Hok; Arnaud Dressen; Quentin Veillas – Foreign Language Annals, 2025
The Modern Language Association (MLA) published a writing and artificial intelligence (AI) working paper that provided an overview of key issues, concerns, and recommendations to help language educators make principle-driven pedagogical decisions to support critical AI literacy. To address the MLA's recommendations, a collaborative AI writing…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Artificial Intelligence
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Donald M. Johnson; Will Doss; Christopher M. Estepp – Natural Sciences Education, 2024
Microcontrollers are widely used in agriculture, yet most undergraduate agriculture students do not have the programming skills necessary to make use of these devices in their academic programs or careers. However, generative artificial intelligence (AI) chatbots, such as ChatGPT, have the ability to write complex microcontroller programs when…
Descriptors: Undergraduate Students, Agricultural Education, Programming, Artificial Intelligence
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Zafer Unal – SRATE Journal, 2025
This study evaluates TeacherServer, a generative AI platform for educators, focusing on its effectiveness and usability. Using the Teachers' Acceptance of AI in Education (TAAI) framework, it assesses teachers' perceptions before and after workshops with 148 K-12 teachers from Florida. Results show a notable improvement in teachers' acceptance of…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Usability
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Bang, Hee Jin; Li, Linlin; Flynn, Kylie – Early Childhood Education Journal, 2023
This study investigates whether using My Math Academy, which provides personalized content and adaptive embedded assessments to support existing curricula, can improve learning outcomes and engagement for kindergarten and first grade students (N = 505 treatment, 481 control). Findings indicate that students using My Math Academy made significant…
Descriptors: Mathematics Instruction, Computer Software, Learning Motivation, Learner Engagement
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Fatimah H. Aldeeb; Omar M. Sallabi; Monther M. Elaish; Gwo-Jen Hwang – Journal of Computer Assisted Learning, 2024
Background: This paper examines the use of augmented reality (AR) as a concept-association tool in schools, with the aim of enhancing primary school students' learning outcomes and engagement. Conflicting findings exist in previous studies regarding the cognitive load of AR-enriched learning, with some reporting reduced load and others indicating…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
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Bunyamin Celik; Yunus Yildiz; Saban Kara – Australian Journal of Applied Linguistics, 2025
Expressing thoughts and feelings efficiently is fundamental in daily, academic, and professional life. Accordingly, self-efficacy beliefs play pivotal roles in shaping learners' speaking performance through various dimensions. Higher education institutions assume responsibility for boosting students' speaking self-efficacy, thereby contributing to…
Descriptors: Self Efficacy, English (Second Language), Second Language Instruction, Second Language Learning
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R. Freed; D. H. McKinnon; M. T. Fitzgerald; S. Salimpour – Physical Review Physics Education Research, 2023
This paper presents the results of a confirmatory factor analysis on two self-efficacy scales designed to probe the self-efficacy of college-level introductory astronomy (Astro-101) students (n ¼ 15181) from 22 institutions across the United States of America and Canada. The students undertook a course based on similar curriculum materials, which…
Descriptors: Self Efficacy, Science Instruction, Astronomy, Factor Analysis
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Allan Mesa Canonigo – Journal of Computer Assisted Learning, 2024
Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Mathematics Instruction, Problem Solving
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Mei-Rong Alice Chen – Language Learning & Technology, 2024
This study explores the impact of an innovative approach that combines artificial intelligence (AI) chatbot support with collaborative note-taking (CNT) in the comprehension of semantic terms among English as a Foreign Language (EFL) learners. Given the significance of semantics in English language learning, traditional didactic methods often…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Semantics
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Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
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Chang, Ching-Yi; Hwang, Gwo-Jen; Gau, Meei-Ling – British Journal of Educational Technology, 2022
The aims of nursing training include not only mastering skills but also fostering the competence to make decisions for problem solving. In prenatal education, cultivating nurses' knowledge and competence of vaccine administration is a crucial issue for protecting pregnant women and newborns from infection. Therefore, obstetric vaccination…
Descriptors: Nursing Education, Job Skills, Skill Development, Knowledge Level
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Indah Werdiningsih; Marzuki; Inda Indrawati; Diyenti Rusdin; Francisca Maria Ivone; Yazid Basthomi; Zulfahreza – Cogent Education, 2024
The primary aim of this study is to delve into the experiences of postgraduate EFL students in using ChatGPT and to uncover the strategic approaches they implement throughout their writing process. This qualitative case study research design engages 16 Master's degree students from four different universities in Indonesia, each with varying levels…
Descriptors: Graduate Students, Student Attitudes, Computer Software, Technology Uses in Education
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