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John Ross – Region 8 Comprehensive Center, 2024
Artificial intelligence (AI) has been making considerable inroads into everyday lives, and AI applications and resources can be found in homes, businesses, entertainment venues, and--of course--in schools. The rapid rate at which AI is being integrated into education and placed in the hands of students, teachers, and other staff has prompted a…
Descriptors: Artificial Intelligence, Elementary Schools, Middle Schools, High Schools
Katharine Meyer; Lindsay C. Page; Catherine Mata; Eric N. Smith; B. Tyler Walsh; C. Lindsey Fifield; Michelle Tyson; Amy Eremionkhale; Michael Evans; Shelby Frost; Eye Eoun Jung – Annenberg Institute for School Reform at Brown University, 2024
This study reports on the causal effects of using a non-generative artificial intelligence (AI) chatbot to provide course-specific, proactive outreach and support to students in large-enrollment undergraduate courses. Across both an American Government and Microeconomics course, students randomly assigned to receive chatbot messaging were four…
Descriptors: Synchronous Communication, Computer Software, Performance, Artificial Intelligence
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Amal Abdelsattar Metwally; Wagdi Rashad Ali Bin-Hady; Eisa Asiri – International Journal of Language Education, 2024
Artificial Intelligence (AI) powered translation influxes in the translation industry. Yet, questions have arisen about the quality of AI-powered translation systems (AIPTSs). Therefore, this study aims to evaluate the translation quality generated by ChatGPT for the Farewell Sermon. Using House's (2015) model of translation quality assessment…
Descriptors: Artificial Intelligence, Translation, Accuracy, Program Evaluation
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Aras Bozkurt; Ramesh C. Sharma – Asian Journal of Distance Education, 2024
Generative Artificial Intelligence (GenAI) has rapidly evolved to perform complex tasks across diverse domains. Despite its potential to redefine how we work and learn, generative AI's effectiveness hinges on the extent to which it is trusted--by individuals, organizations, and broader societal systems. At the heart of this issue lie three…
Descriptors: Man Machine Systems, Artificial Intelligence, Trust (Psychology), Technology Uses in Education
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Yan Xiong; Guo Xinya; Junjie Xu – Education and Information Technologies, 2024
Learning engagement is an essential indication to define students' learning pacification in the class, and its automated identification technique is the foundation for exploring how to effectively explain the motive of learning impact modifications and making intelligent teaching choices. Current research have demonstrated that there is a direct…
Descriptors: Learner Engagement, Learning Processes, Automation, Artificial Intelligence
Dennis Glen Chapman – ProQuest LLC, 2024
My study asks whether the intent of teachers in independent schools to stay at or leave their school is related to the servant leadership characteristics of their head of school. There are few studies on servant leadership, particularly its influence on teacher retention in independent schools. The servant leadership model has much appeal on face…
Descriptors: Private Schools, Teacher Persistence, Labor Turnover, Leadership Styles
Matthew Kelso – ProQuest LLC, 2024
The potential of AI in K-12 education is vast, promising personalized learning experiences, enhanced engagement, and innovative instructional tools. However, its introduction into classrooms brings forth concerns ranging from ethics to teacher preparedness. Drawing on Christensen's concept of disruptive innovation, this study aims to assess and…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Readiness, Technology Integration
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Luke Parker; Chris Carter; Alice L. Karakas; Jane A. Loper; Ahmad Sokkar – AERA Online Paper Repository, 2024
In 2023, ChatGPT emerged as a transformative force in education, igniting widespread interest across academia. This paper rigorously investigates ChatGPT's impact on higher education using a mixed-methods approach, comparing its (ChatGPT) performance with real students' work in undergraduate assignments. Key findings reveal ChatGPT consistently…
Descriptors: Artificial Intelligence, Technology Education, Higher Education, Influence of Technology
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Sheri Grotrian; Lisa Parriott; Brad Griffin; Brady Woerth; Wyatt Rowell – Educational Research: Theory and Practice, 2024
This paper is a review of student perceptions and usage of ChatGPT and other Artificial Intelligence (AI) tools. Technology has made significant changes in education, and in the last 30 years, none may be as impactful as what we refer to as ChatGPT as this was the first tool to make inroads into a chat-based artificial intelligence available to…
Descriptors: Artificial Intelligence, Computer Software, Student Attitudes, Teaching Methods
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Seda Göktepe Körpeoglu; Sevda Göktepe Yildiz – International Journal of Science Education, 2024
Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…
Descriptors: Foreign Countries, Middle School Students, STEM Education, Student Attitudes
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Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
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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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