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Eric Page; Gretchen Meyers; Eve Krahe Billings – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Recent advancements in generative artificial intelligence (AI) have disrupted assessment practices within the higher education sector. The efficacy of existing assessment approaches is under reexamination with the introduction of generative AI's ability to generate human-like text. Simultaneously, there are calls to integrate generative AI into…
Descriptors: Theory Practice Relationship, Artificial Intelligence, Technology Integration, Computer Software
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Saadia, Drissi – International Journal of Web-Based Learning and Teaching Technologies, 2021
Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors…
Descriptors: Teaching Methods, Computer Science Education, Computer Software, Artificial Intelligence
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Dazhen Tong; Bangjian Jin; Yang Tao; Hongmei Ren; A. Y. M. Atiquil Islam; Lei Bao – Physical Review Physics Education Research, 2025
Recent research in science education has largely focused on using ChatGPT to solve problems and evaluating its accuracy and problem-solving features. However, as artificial intelligence (AI) is becoming an important tool for human development, effective strategies for learning and education using human-AI collaboration (HAI) learning remain…
Descriptors: Artificial Intelligence, Problem Solving, Computer Software, Technology Integration
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Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
Sena Sayici; Selami Aydin – Online Submission, 2025
Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
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Xiaohua Liu – International Journal of Technology in Education, 2025
Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…
Descriptors: Teacher Attitudes, Technological Literacy, Pedagogical Content Knowledge, Computer Software
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Ridho Praja Dinata; Nunung Suryati; Moh. Kholilulrahman Jailani; Yohanes Paulus Keli; Mala Rovikasari; Mutia Hasymi – LEARN Journal: Language Education and Acquisition Research Network, 2025
Artificial Intelligence has significantly reshaped foreign language pedagogy, encouraging rural EFL lecturers to move beyond traditional methods. This study aims to investigate the perspectives of rural EFL lecturers in Indonesia on integrating AI into their teaching practices. Using a qualitative design and case study approach, the study explores…
Descriptors: Rural Schools, English (Second Language), Second Language Learning, Second Language Instruction
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Ayse Yilmaz Virlan; Burak Tomak – Education and Information Technologies, 2025
This research aimed to determine the perspectives of Turkish instructors of English on the use of AI tools by Turkish learners of English on their writing skill development given the increasing prevalence of these tools among language learners. Thus, the perspectives of the instructors of these learners are significant in this sense. In this…
Descriptors: Foreign Countries, Q Methodology, Language Teachers, Teacher Attitudes
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Tobias Wyrwich; Marcus Kubsch; Hendrik Drachsler; Knut Neumann – Physical Review Physics Education Research, 2025
Students struggle to acquire the needed energy understanding to meaningfully participate in the energy discourse about socially relevant topics, such as energy transformation or climate change. Identifying students on differing learning trajectories, as well as differences in knowledge used, is essential to help students achieve the needed energy…
Descriptors: Learning Processes, Physics, Energy, Science Instruction
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Ecem Kopuz; Galip Kartal – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Feedback (Response)
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Md Manjurul Islam – Journal of Practical Studies in Education, 2024
This study seeks to detect the problems and solutions of using technology at Kurigram Government College at the undergraduate level, located in the northern border area of Bangladesh. The study presents the existing scenario of using technology in Kurigram Government College at the undergraduate level since the practice of technology in the class…
Descriptors: Public Colleges, Undergraduate Students, Geographic Regions, Teacher Attitudes
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Marcelo Bairral; Gilles Aldon – REDIMAT - Journal of Research in Mathematics Education, 2024
Eye-tracking (ET) method provides a promising channel for educational researchers to connect learning outcomes to cognitive processes. The main principle of ET is that our gaze and our focus of attention are connected. Due to the advent of digital technologies, eye tracking studies are increasingly growing in different fields and in mathematics…
Descriptors: Geometry, Mathematics Instruction, Validity, Mathematical Logic
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Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
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Omer Ari; Kara Hageman; Andrea Lofgren – Research & Practice in Assessment, 2024
Quizzes using test-enhanced learning features of spaced, varied, and interleaved retrieval practice have been shown to support consolidation of knowledge gains in students. In this pilot study, we examined the test-enhanced learning potential of a novel quizzing method designed to Spiral Assessment to Reinforce Knowledge (SPARK; Hageman, 2020)…
Descriptors: Online Courses, Computer Assisted Testing, Taxonomy, Learning Processes
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Joy Robbins; Milena Marinkova – Practitioner Research in Higher Education, 2023
While studies have extolled the value of using online rubrics, the benefits have usually been presented in terms of enhancing marking or delivery of teacher feedback. These benefits are welcome, but they nonetheless couch digital as simply an improved way for "old paradigm" transmission approaches to feedback that do little to help…
Descriptors: Scoring Rubrics, Barriers, Feedback (Response), Information Literacy
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