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Tolulope Famaye; Cinamon Sunrise Bailey; Ibrahim Adisa; Golnaz Arastoopour Irgens – International Journal of Technology in Education, 2024
The emergence of ChatGPT, an AI-powered language model, has sparked numerous debates and discussions. In educational research, scholars have raised significant questions regarding the potential, limitations, and ethical concerns around the use of this technology. While research on the application and implications of ChatGPT in academic settings…
Descriptors: Artificial Intelligence, High School Students, Technology Uses in Education, Student Attitudes
Nasrin Dehbozorgi; Mourya Teja Kunuku – IEEE Transactions on Education, 2024
Contribution: An AI model for speech emotion recognition (SER) in the educational domain to analyze the correlation between students' emotions, discussed topics in teams, and academic performance. Background: Research suggests that positive emotions are associated with better academic performance. On the other hand, negative emotions have a…
Descriptors: Interaction, Academic Achievement, Artificial Intelligence, Psychological Patterns
Rania Abdelghani; Yen-Hsiang Wang; Xingdi Yuan; Tong Wang; Pauline Lucas; Hélène Sauzéon; Pierre-Yves Oudeyer – International Journal of Artificial Intelligence in Education, 2024
The ability of children to ask curiosity-driven questions is an important skill that helps improve their learning. For this reason, previous research has explored designing specific exercises to train this skill. Several of these studies relied on providing semantic and linguistic cues to train them to ask more of such questions (also called…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Inquiry
Kgabo Bridget Maphoto; Kershnee Sevnarayan; Ntshimane Elphas Mohale; Zuleika Suliman; Tumelo Jacquiline Ntsopi; Douglas Mokoena – Open Praxis, 2024
This qualitative study explores the potential of generative artificial intelligence (AI) to improve the academic writing skills of a large student cohort within the context of a distance learning institution. Utilising qualitative methods, the research explores diverse approaches and applications of generative AI to elevate teaching and learning…
Descriptors: Foreign Countries, Distance Education, Electronic Learning, Artificial Intelligence
Rachel-Tzofia Sinvani; Haya Fogel-Grinvald; Shimon Sapir – Journal of Speech, Language, and Hearing Research, 2024
Purpose: We studied the role of gender in metacognition of voice emotion recognition ability (ERA), reflected by self-rated confidence (SRC). To this end, we guided our study in two approaches: first, by examining the role of gender in voice ERA and SRC independently and second, by looking for gender effects on the ERA association with SRC.…
Descriptors: Gender Differences, Metacognition, Emotional Response, Self Esteem
Farahnaz Soleimani; Jeonghyun Lee; Meryem Yilmaz Soylu – Journal of Research on Technology in Education, 2024
This study aimed to understand the relationship between course activities and learning progress among students enrolled in the MicroMasters certificate program offered in an affordable MOOC-based learning platform. In order to capture the relationship, the differences between the engagement patterns of learners in the MicroMasters program compared…
Descriptors: MOOCs, Educational Certificates, Artificial Intelligence, Learner Engagement
Juliana Elisa Raffaghelli; Marc Romero Carbonell; Teresa Romeu-Fontanillas – Information and Learning Sciences, 2024
Purpose: It has been demonstrated that AI-powered, data-driven tools' usage is not universal, but deeply linked to socio-cultural contexts. The purpose of this paper is to display the need of adopting situated lenses, relating to specific personal and professional learning about data protection and privacy. Design/methodology/approach: The authors…
Descriptors: Artificial Intelligence, Data Collection, Information Literacy, Intervention
Chenglu Li; Wanli Xing; Walter Leite – Interactive Learning Environments, 2024
As instruction shifts away from traditional approaches, online learning has grown in popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics methods such as machine learning have been used by educational scholars to support online learners on a large scale. However, the fairness of AI prediction in educational…
Descriptors: Artificial Intelligence, Prediction, Mathematics Achievement, Algorithms
Ahmed M. Abdulla Alabbasi; Mark A. Runco; Selcuk Acar; Fatima A. Aljasim – Creativity Research Journal, 2024
This empirical investigation examined the cross-cultural usefulness of a measure of creative potential, namely the short form of the Runco Ideational Behavior Scale (RIBS). The RIBS has been used in several investigations and existing data show it to be a reliable criterion measure, usually with a two-factor structure. Scores from the RIBS…
Descriptors: Arabic, Test Validity, Test Reliability, Creativity
Raffaella Borasi; David E. Miller; Patricia Vaughan-Brogan; Karen DeAngelis; Yu Jung Han; Sharon Mason – Phi Delta Kappan, 2024
To better understand the current challenges surrounding the use of artificial intelligence (AI) in K-12 schools, a team of researchers (Raffaella Borasi, David E. Miller, Patricia Vaughan-Brogan, Karen DeAngelis, Yu Jung Han, and Sharon Mason) interviewed 36 western New York school leaders in late 2023. Their concerns moved beyond potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Leadership
Krittanai Thararattanasuwan; Veena Prachagool – International Education Studies, 2024
The relevance of incorporating AI into educational settings is growing as the technology develops. This research delves into the perspective of pre-service teachers on generative AI technology. This study employed 45 pre-service teachers to raise their perspective towards AI technology and then explore its correlation about components of AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
Helen Crompton; Adam Edmett; Neenaz Ichaporia; Diane Burke – British Journal of Educational Technology, 2024
English is one of the most used languages for jobs, markets, tourism, discourse and international connectivity. However, English learners face many challenges in gaining English language skills. Extant studies show that AI has affordances to support in English language teaching and learning ELT/L. This study answers the call to examine specific…
Descriptors: Artificial Intelligence, Second Language Instruction, Language Skills, Barriers
Cherise McBride; Clifford H. Lee; Elisabeth Soep – Reading Research Quarterly, 2024
Rapidly developing technological advances have raised new questions about what makes us uniquely human. As data and generative AI become more powerful, what does it mean to learn, teach, create, make meaning, and express ourselves, even as machines are trained to take care of these tasks for us? With youth, and in the context of literacy and media…
Descriptors: Literacy, Media Education, Adolescents, Young Adults
Priya C. Kumar; Kelley Cotter; Laura Y. Cabrera – Reading Research Quarterly, 2024
Questions and concerns about artificial intelligence (AI) technologies in education reached a fever pitch with the arrival of publicly accessible, user-facing generative AI systems, especially ChatGPT. Many of these issues will require regulation and collective action to address. But when it comes to generative AI and literacy, we argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Literacy
Gavin F. Hurley – Journal of Catholic Education, 2024
This article proposes a theoretical basis of Augustinian composition pedagogy by tracing the symbiotic relationship between writing and knowing found within St. Augustine's "Letters," "The Trinity," "Soliloquies," and "Confessions" and connecting them to modern writing-to-learn composition pedagogies. Given…
Descriptors: Teaching Methods, Writing (Composition), Liberal Arts, Artificial Intelligence

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