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Ghadeer Sawalha; Imran Taj; Abdulhadi Shoufan – Cogent Education, 2024
Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…
Descriptors: Cues, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Surya Bahadur G. C.; Pooja Bhandari; Santosh Kumar Gurung; Ekta Srivastava; Deepak Ojha; Bharat Ram Dhungana – Cogent Education, 2024
This study examined factors influencing students' intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from 578 students selected through convenience sampling at a university in Nepal through a structured questionnaire. Using PLS-SEM, the study found that habit ([beta] = 0.315, p < 0.001),…
Descriptors: Social Influences, Value Judgment, Habit Formation, Intention
Sandra Leaton Gray; Mutlu Cukurova – Cogent Education, 2024
Debates surrounding the use of data science in educational AI are frequently rather entrenched, revolving around commercial models and talk of teacher replacement. This article explores the potential for digital textual analysis within humanities and social science education, advocating for a sociologically-driven approach that complements, rather…
Descriptors: Humanities, Social Sciences, Social Science Research, Research Methodology
Pasty Asamoah; Daniel Zokpe; Richard Boateng; John Serbe Marfo; Sheena Lovia Boateng; David Asamoah; Abdul Samed Muntaka; John Frimpong Manso – Cogent Education, 2024
The increasing reliance on Generative Artificial Intelligence (GenAI) among students and knowledge workers poses significant risks and raises integrity concerns, prompting some institutions to impose bans on its use. With scant research on a guided framework, strategies, and checklists for the utilization of GenAI, we propose a framework based on…
Descriptors: Artificial Intelligence, Ethics, Intellectual Disciplines, Knowledge Level
Leon Furze; Mike Perkins; Jasper Roe; Jason MacVaugh – Australasian Journal of Educational Technology, 2024
The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Evaluation Methods
Innovation in Vietnamese Higher Education for Society 5.0: Opportunities, Challenges, and Strategies
Anh Quang Nguyen – International Journal of Research in Education and Science, 2024
The inception of Super Smart Society 5.0 marks a pivotal epoch in which technological advancements such as Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain technology stand at the forefront of redefining the educational landscape. This article delves into the implications of this paradigm shift for higher education,…
Descriptors: Educational Innovation, Higher Education, Sustainable Development, Foreign Countries
C. Victor Fung; Leonard Tan – Philosophy of Music Education Review, 2024
While music education practice has moved towards greater diversity, the philosophy of music education remains rather Western-centric, with limited scholars drawing on philosophical resources beyond the West. This is problematic, as a truly inclusive approach to music education ought to embrace multiple philosophical voices. In this paper, we…
Descriptors: Music Education, Educational Philosophy, Diversity, Western Civilization
Richard J. Sampson – Modern Language Journal, 2024
Empirical work exploring additional language (L+) learning emotions has both proliferated and expanded its focus over the past 15 years. The current article explores one possibility for responding to the challenge of capturing and describing emotions in order to furnish a more contextualized, multidimensional picture of emotions in L+ learning:…
Descriptors: Language Acquisition, Language Skills, Emotional Intelligence, Instructional Effectiveness
Peter Bannister; Elena Alcalde Peñalver; Alexandra Santamaría Urbieta – Journal for Multicultural Education, 2024
Purpose: This purpose of this paper is to report on the development of an evidence-informed framework created to facilitate the formulation of generative artificial intelligence (GenAI) academic integrity policy responses for English medium instruction (EMI) higher education, responding to both the bespoke challenges for the sector and…
Descriptors: Language of Instruction, English (Second Language), Second Language Learning, Integrity
Sameera Alshorman – Journal of Baltic Science Education, 2024
This study aimed to assess the readiness of Jordanian science teachers for integrating Artificial Intelligence (AI) in science education, focusing on their perceptions, challenges, and training needs. A quantitative survey methodology was employed, using a 35-item questionnaire distributed to 136 science teachers in urban Jordan. The…
Descriptors: Readiness, Intention, Science Instruction, Teaching Methods
Sophie Russell; Amy L. Bird; Jane S. Herbert – Journal of Early Adolescence, 2024
This study aimed to assess differences in emotion and elaboration quality between clinical and community child cohorts in both past reminiscing and future worry conversations. We analyzed 54 Australian parents (46 mothers, 8 fathers) and their 8- to 12-year-old children (M = 9.63, SD = 1.29; 28 boys, 26 girls) in reminiscing interactions. Dyads…
Descriptors: Parent Child Relationship, Psychological Patterns, Discussion, Anxiety
Eman Mohamed Youssef Saddik – Online Submission, 2024
The present study aims to examine teachers and students' perceptions of using AI-supported tools and apps as (Chat GPT, Reading Coach, Microsoft Teams, Microsoft Designer, Minecraft Education, Micro: bit and Merge Cube) on motivating self-learning towards English language learning in Assiut City Egypt. AI becomes a vital part in all our daily…
Descriptors: Foreign Countries, Teacher Attitudes, Student Attitudes, Artificial Intelligence
Xiaoyi Tian – ProQuest LLC, 2024
As Artificial Intelligence (AI) becomes increasingly ubiquitous in society, conversational agents such as Siri, Alexa, and ChatGPT are shaping the experiences of younger generations. However, these young users often lack opportunities to learn about the inner workings of these AI technologies. One way to foster such learning is by empowering…
Descriptors: Artificial Intelligence, Technology Uses in Education, Access to Computers, Access to Education
Jill Manczka – ProQuest LLC, 2024
Throughout history, artificial intelligence (AI) has impacted various aspects of human life and professional industries, including the field of education, by mimicking human behaviors and tasks to increase productivity and efficiency (Grudin et al., 2023; Haenlein & Kaplan, 2019). Generative AI is a form of AI using deep learning to quickly…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)

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