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Mark Feng Teng – European Journal of Education, 2025
The present study explored EFL students' perceptions and experiences in utilising ChatGPT to seek feedback for writing. The present study also examined how levels of metacognitive awareness (MA) influenced these perceptions and experiences. Utilising a mixed-method research design, the study collected data from a total of 40 EFL undergraduates…
Descriptors: English (Second Language), Student Attitudes, Feedback (Response), Writing (Composition)
Guiyun Feng; Honghui Chen – Education and Information Technologies, 2025
Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…
Descriptors: Educational Research, Artificial Intelligence, Data Use, Algorithms
Marc Watkins; Stephen Monroe – Thresholds in Education, 2025
We begin our introduction by acknowledging the valid anxieties of faculty who face rapid technological change brought on by Generative AI (GenAI) tools without adequate institutional support or training. While some scholars advocate for GenAI resistance and others for wholesale adoption, the voices included within this volume argue for a balanced,…
Descriptors: Higher Education, Technology Uses in Education, Artificial Intelligence, Accountability
Aaron S. Veenstra; Marcy Wilder; Farhin Shimu; Luke Schlauder; Francesca Dousdebés – Journalism and Mass Communication Educator, 2025
This study investigates how journalism students perceive and use large language models (LLMs), such as ChatGPT, their understanding of the technology, and their ethical considerations. Findings indicate that while students see LLMs as inevitable tools in their future careers, they often misunderstand how these tools generate content, in part…
Descriptors: Journalism Education, Artificial Intelligence, Ethics, Student Attitudes
Aimei Yang – Journalism and Mass Communication Educator, 2025
At the forefront of industries profoundly influenced by artificial intelligence (AI), public relations (PRs) are undergoing a transformative revolution. The increasing applications of AI in PRs are driving a demand for proficient practitioners. Recognizing this, PR educational institutions must adapt by delivering tailored AI education. Despite…
Descriptors: Artificial Intelligence, Public Relations, Programming, Coding
Stefanie Panke – Journal of Teacher Education, 2025
The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May-October 2024). By integrating AI tools into every phase of the research process, the study examines AI's role as both a research partner and a subject of inquiry. Field…
Descriptors: Ethnography, Artificial Intelligence, Computer Software, Instructional Design
Hatice Yildiz Durak; Figen Egin; Aytug Onan – European Journal of Education, 2025
Generative artificial intelligence (GenAI) models, such as ChatGPT, Gemini, and BingAI, have become integral to educational sciences, bringing about significant transformations in the education system and the processes of knowledge production. These advancements have facilitated new methods of teaching, learning, and information dissemination.…
Descriptors: Writing (Composition), Discussion, Artificial Intelligence, Natural Language Processing
Hui Liu; Wei Guo – European Journal of Education, 2025
In contemporary music education, innovative technologies, particularly artificial intelligence (AI)-based tools, play a crucial role. The objective of this study was to assess the effectiveness of AI-based tools in enhancing students' success and creativity. The study involved 158 students from a leading music institution, who were divided into…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Performance, Creativity
Vassa Grichko; Betsy Schamber; Kari Termansen; David Barker; Shanice Hall; David Swank; Erin Lehmann – Impacting Education: Journal on Transforming Professional Practice, 2025
Universal guidelines for AI's use in the context of higher education remains unestablished. Despite this, doctoral students utilized AI to help in forming research ideas and with editing manuscripts. Thereby, the socialization of doctoral students into ethical AI use became imperative. This action research study had faculty and EdD students test…
Descriptors: Artificial Intelligence, Ethics, Guidelines, Doctoral Dissertations
Héctor Galindo-Domínguez; Nahia Delgado; María-Victoria Urruzola; Jose-María Etxabe; Lucía Campo – Journal of Computer Assisted Learning, 2025
Background: With the integration of artificial intelligence into educational processes, its impact remains to be discovered. Objective: The aim of the present study was to determine whether, after a 7-month intervention in which a subject of artificial intelligence was taught, students improved their psychological needs for competence, autonomy…
Descriptors: Artificial Intelligence, Adolescents, Student Motivation, Technology Uses in Education
Yin Kiong Hoh – American Biology Teacher, 2025
Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…
Descriptors: Artificial Intelligence, Biological Sciences, Computer Software, Algorithms
Yan Jiang; Lillie Ko-Wong; Ivan Valdovinos Gutierrez – Educational Researcher, 2025
In this essay, we explored the feasibility of utilizing artificial intelligence (AI) for qualitative data analysis in equity-focused research. Specifically, we compare thematic analyses of interview transcripts conducted by human coders with those performed by GPT-3 using a zero-shot chain-of-thought prompting strategy. Our results suggest that…
Descriptors: Artificial Intelligence, Feasibility Studies, Data Analysis, Interviews
Fatih Karatas; Bengü Aksu Ataç – Education and Information Technologies, 2025
The integration of AI into TPACK frameworks is crucial for enhancing teacher readiness in an increasingly technology-driven educational environment. However, a significant gap exists in literature regarding assessing preservice teachers' knowledge on the integration of AI into their pedagogical practices based on the TPACK framework. This study…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Artificial Intelligence, Preservice Teachers
Felicity F. Frinsel; Fabio Trecca; Morten H. Christiansen – Cognitive Science, 2024
In language learning, learners engage with their environment, incorporating cues from different sources. However, in lab-based experiments, using artificial languages, many of the cues and features that are part of real-world language learning are stripped away. In three experiments, we investigated the role of positive, negative, and mixed…
Descriptors: Feedback (Response), Language Acquisition, Mathematical Linguistics, Role Theory
Sourajit Ghosh; Md. Sarwar Kamal; Linkon Chowdhury; Biswarup Neogi; Nilanjan Dey; Robert Simon Sherratt – Education and Information Technologies, 2024
Students are the future of a nation. Personalizing student interests in higher education courses is one of the biggest challenges in higher education. Various AI and ML approaches have been used to study student behaviour. Existing AI and ML algorithms are used to identify features for various fields, such as behavioural analysis, economic…
Descriptors: Engineering Education, Artificial Intelligence, College Students, Student Interests