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Matt Bower; Jodie Torrington; Jennifer W. M. Lai; Peter Petocz; Mark Alfano – Education and Information Technologies, 2024
There has been widespread media commentary about the potential impact of generative Artificial Intelligence (AI) such as ChatGPT on the Education field, but little examination at scale of how educators believe teaching and assessment should change as a result of generative AI. This mixed methods study examines the views of educators (n = 318) from…
Descriptors: Artificial Intelligence, Teacher Evaluation, Surveys, Computer Assisted Testing
Irena Miljkovic Krecar; Maja Kolega; Lana Jurcec – IAFOR Journal of Education, 2024
In the context of education, the issues of integrating artificial intelligence (AI) into teaching and maintaining academic integrity in students' use of AI are particularly relevant. This paper empirically examined the issue of ChatGPT usage for writing homework from the perspectives of students and professors. Study research methods included both…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Student Attitudes
Michal L. Cook; Brianne Tomaszewski; Elena Lamarche; Karrah Bowman; Claire B. Klein; Sara Stahl; Laura G. Klinger – Autism: The International Journal of Research and Practice, 2024
Autistic individuals are at significantly higher risk of suicide than non-autistic individuals, with transition-aged youth at potentially the highest risk. While lower executive function (EF) skills have been significantly associated with suicide risk in other clinical samples, the link between EF and suicidality has not yet been examined for…
Descriptors: Suicide, At Risk Persons, Youth, Autism Spectrum Disorders
Julian L'Enfant – European Journal of Open, Distance and E-Learning, 2024
This study examines the role of artificial intelligence (AI) as a reflective coach in graduate ESL practicums, using Activity Theory to assess its impact on student-teachers' (STs) reflective practices. An exploratory case study of 26 graduate ESL STs was conducted, with data from AI interactions and post-reflection questionnaires analysed…
Descriptors: Artificial Intelligence, Reflection, Coaching (Performance), English (Second Language)
Kai Guo; Yuchun Zhong; Danling Li; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
This study proposed a novel approach to classroom debates, in which chatbots that are able to engage in argumentative dialogues are adopted to facilitate students' debate preparation. The approach comprised three stages: first, students interacted with a chatbot named Argumate to help them generate ideas; second, students discussed the ideas with…
Descriptors: Foreign Countries, Undergraduate Students, Debate, Persuasive Discourse
Santiago Ojeda-Ramirez; Daniel Ritchie; Mark Warschauer – CATESOL Journal, 2024
Artificial Intelligence technologies are becoming ubiquitous, transforming the workforce by altering or creating jobs and influencing decisions that affect minority communities. The necessity of AI literacy, comprising knowledge and skills for critical interaction with AI, is increasingly important. Multilingual learners, engaging with both every…
Descriptors: Middle School Students, Summer Programs, Camps, Artificial Intelligence
Moriah Ariely; Tanya Nazaretsky; Giora Alexandron – Journal of Research in Science Teaching, 2024
One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time-consuming, and teachers often do not have a clear definition of the educational goals…
Descriptors: Biology, Automation, Individualized Instruction, Science Instruction
Hui-Tzu Chang; Chia-Yu Lin – Journal of Computer Assisted Learning, 2024
Background: Numerous higher education institutions worldwide have adopted English-language-medium computer science courses and integrated online problem-solving competitions to bridge gaps in theory and practice (Alhamami "Education and Information Technologies," 2021; 26: 6549-6562). Objectives: This study aimed to investigate the…
Descriptors: Artificial Intelligence, Instructional Improvement, Problem Solving, Competition
Sharin Rawhiya Jacob; Mark Warschauer – CATESOL Journal, 2024
Over the last decade, there has been an explosion of national interest in computer science (CS) education. In response to this, several organizations and initiatives have emerged in recent years to expand the CS pipeline. However, within these broad and laudable efforts, one important area has been largely overlooked--the instruction of CS to…
Descriptors: Elementary School Students, Artificial Intelligence, Computer Science Education, Technology Uses in Education
Kunal Sareen – Innovations in Education and Teaching International, 2024
This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…
Descriptors: Ethics, Decision Making, Artificial Intelligence, Computer Software
Fangwei Huang; Yongliang Wang; Haijing Zhang – European Journal of Education, 2024
As artificial intelligence (AI) has been integrated into foreign language (FL) education, learners' well-being is influenced by various factors, including technological, personal and contextual elements. However, few studies explored how external and internal factors jointly shape FL learners' well-being in the era of generative AI. To fill this…
Descriptors: English (Second Language), Artificial Intelligence, Teacher Attitudes, Self Efficacy
Jiahong Su – Education and Information Technologies, 2024
With Artificial intelligence (AI) literacy gaining more and more attention at the kindergarten level, it is becoming critical to assess the AI literacy levels of kindergarten children and develop appropriate courses to enhance their foundational AI knowledge and skills. This study proposes and validates a comprehensive AI literacy assessment tool…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Digital Literacy
Ellana S. Black – ProQuest LLC, 2024
Generative AI has been expanding at an exponential rate since its widespread emergence in late 2022, yet limited research has explored its adoption or use among higher education faculty. Guided by the Diffusion of Innovations theory, this quantitative survey research study investigated higher education faculty's perceptions, adoption, and use of…
Descriptors: Higher Education, College Faculty, Technology Integration, Technology Uses in Education
Tulsi A. Radhoe; Joost A. Agelink van Rentergem; Carolien Torenvliet; Annabeth P. Groenman; Wikke J. van der Putten; Hilde M. Geurts – Journal of Autism and Developmental Disorders, 2024
Autism is heterogeneous, which complicates providing tailored support and future prospects. We aim to identify subgroups in autistic adults with average to high intelligence, to clarify if certain subgroups might need support. We included 14 questionnaire variables related to aging and/or autism (e.g., demographic, psychological, and lifestyle).…
Descriptors: Adults, Autism Spectrum Disorders, Population Groups, Intelligence
Hui-Chin Yeh – Educational Technology & Society, 2024
This paper presents the integration of generative artificial intelligence (GAI) and other AI tools in English as a Foreign Language (EFL) education, addressing the limitations of traditional pedagogical approaches. Conventional EFL methods, often reliant on rote learning for standardized tests, struggle to impart practical language skills relevant…
Descriptors: Technology Integration, Artificial Intelligence, Technology Uses in Education, English (Second Language)

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