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Patrick Adriel Aure; Oriana Cuenca – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This exploratory study innovates the pedagogy of undergraduate business research courses by integrating Generative Artificial Intelligence (GAI) tools, guided by human-centered artificial intelligence, social-emotional learning, and authenticity principles. Design/methodology/approach: An insider case study approach was employed to…
Descriptors: Social Emotional Learning, Artificial Intelligence, Business Education, Teaching Methods
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Bablu Karan – Technology, Pedagogy and Education, 2024
The rapid advent of artificial intelligence (AI) is influencing education systems at all levels. Understanding the wide-ranging potential implications of AI, the Indian Central Board of Secondary Education (CBSE) has produced an AI integration manual consisting of details, strategies and approaches to successfully integrate AI in teaching and…
Descriptors: Technology Integration, Artificial Intelligence, Secondary Education, Foreign Countries
Lisa Snider – ProQuest LLC, 2024
Qualifying a student for a learning disability can be difficult to know if they truly are learning disabled or is something else going on. Due to the IQ discrepancy model, to qualify a student with a learning disability, you must have an average IQ, but you are performing below grade level in achievement (Willis, 2019). However, there could be a…
Descriptors: Alignment (Education), Academic Standards, Response to Intervention, Students with Disabilities
Thaddeus Henderson – ProQuest LLC, 2024
The purpose of this study was to examine the predictability of emotional intelligence factors on the relationship quality among African American male college students. Specifically, this study was concerned with the predictable relationship between the emotional intelligence factors of emotion regulation, self-regulation, emotion management, and…
Descriptors: College Students, African American Students, Males, Emotional Intelligence
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Khameel B. Mustapha; Eng Hwa Yap; Yousif Abdalla Abakr – Interactive Technology and Smart Education, 2024
Purpose: Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of…
Descriptors: Engineering Education, Artificial Intelligence, Computer Software, Synchronous Communication
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Laurie O. Campbell; Thomas D. Cox – Journal of the Scholarship of Teaching and Learning, 2024
With the rapid societal emergence of generative artificial intelligence chatbots, calls for responsible use of generative AI permeate public voices among faculty, administration, and Centers for Teaching and Learning. The Diffusion of Innovation Theory seeks to explain how technologies like generative AI large language models are being adopted.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Synchronous Communication
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Haley V. Skymba; Caroline N. Graham; Haina H. Modi; Megan M. Davis; Wendy Troop-Gordon; Wendy Heller; Karen D. Rudolph – Merrill-Palmer Quarterly: A Peer Relations Journal, 2024
Emotion mindsets play an important role in how emotional challenges are navigated. Although existing research demonstrates that emotion mindsets have important implications for emotion regulation self-efficacy (ERSE), little is known about the role of individual differences. The present study examined whether the association between trait emotion…
Descriptors: Psychological Patterns, Emotional Response, Self Management, Gender Differences
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Javier Vásquez-Monteros; Yasmany García-Ramírez – International Society for Technology, Education, and Science, 2024
This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated.…
Descriptors: Civil Engineering, Engineering Education, Artificial Intelligence, Technology Integration
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Xiping Jiang – AERA Online Paper Repository, 2024
Given the potential for significant changes brought about by chatbots, it is necessary to clarify the mechanisms, relevant research, practical applications, and future development of chatbots in education, while making adequate preparations for their limitations and challenges. However, there are currently few studies that systematically review…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Bibliometrics
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Md. Mirajul Islam; Xi Yang; John Hostetter; Adittya Soukarjya Saha; Min Chi – International Educational Data Mining Society, 2024
A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL) often suffers from "sample inefficiency" and "reward function" design difficulty, Apprenticeship Learning (AL) algorithms can overcome them.…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Teaching Methods, Algorithms
Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Muna Barakat; Nesreen A. Salim; Malik Sallam – Open Praxis, 2025
Integration of ChatGPT into higher education requires assessing university educators' perspectives regarding this novel technology. This study aimed to validate a survey instrument specifically tailored to assess ChatGPT usability and acceptability among university educators based on the Technology Acceptance Model (TAM). The survey instrument…
Descriptors: College Faculty, Teacher Attitudes, Artificial Intelligence, Man Machine Systems
Peter W. Cookson Jr. – Phi Delta Kappan, 2025
The use of artificial intelligence is growing, but it's unclear how much it is expanding human knowledge. Peter W. Cookson Jr. discusses the potential of AI use for learning. He suggests that humans learn by making connections in ways that AI cannot replicate. The kinds of experiences that promote these connections require students to experiment…
Descriptors: Artificial Intelligence, Educational Innovation, Student Projects, Active Learning
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Hugo Edgar Mesquita; Adriana Baptista; Olívia Silva – Open Education Studies, 2025
This article explores the integration of "synthography" in the context of a class in the Degree in Photography, as a strategy to explore artistic and professional practices in the digital transformation era, problematizing the pedagogical implications of using artificial intelligence (AI) in creative disciplines. The study revolves…
Descriptors: Artificial Intelligence, Computer Software, Photography, Teaching Methods
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