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Autumn K. Wilke – Educational Forum, 2024
Expectations of smartness are woven into the foundation of postsecondary education (e.g. admissions, grading). This content analysis examines current postsecondary dis/ability literature through the theoretical frame of DisCrit to identify how concepts of smartness are treated within the field. The findings call for greater interrogation of the…
Descriptors: Journal Articles, Postsecondary Education, Learning Disabilities, Attitudes toward Disabilities
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Silvia Duran-Bonavila; Alicia Rodríguez-Gómez; Marta Becerril – International Journal of Educational Psychology, 2024
Grade repetition is an issue with important educational implications. This study analyzes the effect of cognitive variables, socio-economic status, as well as the interaction of socioeconomic status with ethnic origin, on the probability of not repeating. Data were collected to calculate socioeconomic status using the Hollingshead Socioeconomic…
Descriptors: Foreign Countries, Grade Repetition, Ethnicity, Socioeconomic Influences
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Ronald E. Riggio – Journal of Campus Activities Practice and Scholarship, 2024
While improving ability to communicate effectively is a given for developing student leadership potential, there are very few systematic frameworks to guide communication skill improvement. Using a model of emotional and social skills derived from research in interpersonal and emotional/nonverbal communication, tools and strategies for both…
Descriptors: Skill Development, Communication Skills, Student Leadership, Interpersonal Competence
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Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring
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Shurui Bai; Donn Emmanuel Gonda; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2024
This case study explored the use of generative artificial intelligence (GenAI), specifically chat generative pretraining transformer (ChatGPT), in writing scenarios for scenario-based learning (SBL). Our research addressed three key questions: 1) how do teachers leverage GenAI to write scenarios for SBL purposes? 2) what is the quality of…
Descriptors: Vignettes, Teaching Methods, Engineering Education, Guidelines
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Giulia Polverini; Bor Gregorcic – Physical Review Physics Education Research, 2024
The well-known artificial intelligence-based chatbot ChatGPT-4 has become able to process image data as input in October 2023. We investigated its performance on the test of understanding graphs in kinematics to inform the physics education community of the current potential of using ChatGPT in the education process, particularly on tasks that…
Descriptors: Computer Software, Artificial Intelligence, Visual Impairments, Graphs
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Mohammad Rajiur Rahman; Raga Shalini Koka; Shishir K. Shah; Thamar Solorio; Jaspal Subhlok – Education and Information Technologies, 2024
Video is an increasingly important resource in higher education. A key limitation of lecture video is that it is fundamentally a sequential information stream. Quickly accessing the content aligned with specific learning objectives in a video recording of a classroom lecture is challenging. Recent research has enabled automatic reorganization of a…
Descriptors: Lecture Method, Video Technology, Navigation (Information Systems), Artificial Intelligence
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Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Hyunwoong Lee; Seunmin Eun; Jewoong Moon; Cheolil Lim; Hyeoncheol Kim – Smart Learning Environments, 2024
This preliminary study explores how GPT-4 Vision (GPT-4V) technology can be integrated into teacher analytics through observational assessment, aiming to improve reflective teaching practice. Our study develops a Video-based Automatic Assessment System (VidAAS) powered by GPT-4V. This approach uses Generative Artificial Intelligence (GenAI) to…
Descriptors: Observation, Teaching Methods, Artificial Intelligence, Behavior
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T. Revell; W. Yeadon; G. Cahilly-Bretzin; I. Clarke; G. Manning; J. Jones; C. Mulley; R. J. Pascual; N. Bradley; D. Thomas; F. Leneghan – International Journal for Educational Integrity, 2024
Generative AI has prompted educators to reevaluate traditional teaching and assessment methods. This study examines AI's ability to write essays analysing Old English poetry; human markers assessed and attempted to distinguish them from authentic analyses of poetry by first-year undergraduate students in English at the University of Oxford. Using…
Descriptors: Artificial Intelligence, Authors, Integrity, Essays
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Dazhen Tong; Yang Tao; Kangkang Zhang; Xinxin Dong; Yangyang Hu; Sudong Pan; Qiaoyi Liu – Asia Pacific Education Review, 2024
Artificial intelligence (AI) technologies have been consistently influencing the progress of education for an extended period, with its impact becoming more significant especially after the launch of ChatGPT-3.5 at the end of November 2022. In the field of physics education, recent research regarding the performance of ChatGPT-3.5 in solving…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Performance
Bev Lyseng – ProQuest LLC, 2024
This research draws upon a qualitative intrinsic case study methodology to gather perceptions of 15 school leaders in the province of Alberta, Canada, around social and emotional competencies in relation to their own leadership, school culture, and student learning. The premise behind this study is that school leaders who are socially and…
Descriptors: Foreign Countries, Leadership, School Culture, Interpersonal Competence
Deborah Snedden – ProQuest LLC, 2024
This action research addressed three primary questions: 1) Does developing the EI of school leaders improve staff job satisfaction? 2) Does developing the EI of school leaders enhance the school climate? 3) Does developing the EI of school leaders lead to increased student achievement? Pre- and post-intervention surveys were conducted using the…
Descriptors: Action Research, Emotional Intelligence, Instructional Leadership, Teacher Administrator Relationship
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Eric Yang; Cheryl Beil – New Directions for Higher Education, 2024
Artificial intelligence (AI) and machine learning (ML) have transformed the landscape of data management in higher education institutions, necessitating a critical evaluation of existing data privacy policies and practices. This research delves into the inadequacies of current frameworks in adapting to the swift evolution of Big Data. Student,…
Descriptors: Artificial Intelligence, Teacher Attitudes, Student Attitudes, College Students
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Jennifer Gunn – English in Texas, 2024
This paper considers the impact of technological processes on human thought, specifically the implications of artificial intelligence (AI) on writing instruction. The main purpose of this paper is to present instructional considerations that will elevate human voice and reduce student temptations to turn to AI unreasonably to produce a piece of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Instruction, Developmental Studies Programs
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Jiangyue Liu; Siran Li – Journal of Educational Computing Research, 2024
Pair Programming is considered an effective approach to programming education, but the synchronous collaboration of two programmers involves complex coordination, making this method difficult to be widely adopted in educational settings. Artificial Intelligence (AI) code-generation tools have outstanding capabilities in program generation and…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Coding
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