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Bruce A. Craft – Research Issues in Contemporary Education, 2024
This paper addresses the pedagogical implications of incorporating ChatGPT into the college English classroom specifically and, more broadly, into any college course with a focus on writing and research. Historically, advances in technology in the college classroom have characteristically promoted two juxtaposed reactions: relief and anxiety.…
Descriptors: Artificial Intelligence, Natural Language Processing, English Instruction, Writing Instruction
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Megan Lowe – Research Issues in Contemporary Education, 2024
The release of ChatGPT and other Artificial Intelligence (AI) tools has raised significant and challenging questions around the ethics of artificial intelligence in higher education. The initial concerns regarding AI in higher education centered on academic integrity, and the literature reflects this initial response. However, the multifaceted…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Outcomes of Education
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Surbhi Seema Sethi; Kanishk Jain – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This study aims to explore the potential benefits of integrating Artificial Intelligence (AI) with Social Emotional Learning (SEL) in educational settings. Design/methodology/approach: A systematic review of emerging AI technologies such as virtual reality, chatbots, sentiment analysis tools, gamification and wearable devices is conducted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Social Emotional Learning, Educational Technology
Jennifer Roble – ProQuest LLC, 2024
This study examines the impact of Generative Artificial Intelligence (GAI) on teacher workload, burnout, and well-being at a large K-12 independent school in Hawaii. The research focused on teachers identified as innovators and early adopters to understand their experiences with GAI. A qualitative, phenomenological design was employed, using…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teaching Load, Artificial Intelligence
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Arifi N. Waked; Hanadi Abdelsalem; Muhammad Waqar Ashraf; Maura Pilotti; Khadija El Alaoui – International Society for Technology, Education, and Science, 2024
Large Language Model (LLM) Functionalities, such as Chat Generative Pre-Trained Transformer (ChatGPT), are a form of artificial intelligence (AI) that have the ability to produce human-like writing in response to a wide array of input. As this technology has become a staple of everyday life, many educators find themselves rapidly redefining best…
Descriptors: Artificial Intelligence, Writing Tests, Plagiarism, Accuracy
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Or Goren; Liron Cohen; Amir Rubinstein – International Educational Data Mining Society, 2024
The problem of student dropout in higher education has gained significant attention within the Educational Data Mining research community over the years. Since student dropout is a major concern for the education community and policymakers, many research studies aim to evaluate and uncover profiles of students at-risk of dropping out, allowing…
Descriptors: Dropout Characteristics, Prediction, Potential Dropouts, Student Characteristics
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Reham Salhab – Online Learning, 2024
Artificial Intelligence (AI) is increasingly prevalent, permeating various aspects of and spreading across education. However, a comprehensive understanding of AI applications and how to define AI literacy is under-investigated. On this note, teaching and evaluating AI literacy necessitates educators to integrate it into course content. The…
Descriptors: Artificial Intelligence, Multiple Literacies, College Faculty, Higher Education
Kaiwen Man – Educational and Psychological Measurement, 2024
In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…
Descriptors: Prior Learning, Testing, Behavior, Artificial Intelligence
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Viezel, Kathleen D.; Freer, Benjamin; Morgan, Chelsea D. – Focus on Autism and Other Developmental Disabilities, 2022
As an increasing number of individuals with autism spectrum disorder (ASD) matriculate on college campuses, all stakeholders should be prepared to meet their needs. Despite a body of literature describing adaptive behavior deficits of individuals with ASD, there is a paucity of research examining these skills among those who are college-ready. The…
Descriptors: Autism, Pervasive Developmental Disorders, Student Adjustment, College Freshmen
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Joseph, Dana L.; Zemen, Betsir; McCord, Mallory A.; Fado, Stephanie – New Directions for Teaching and Learning, 2019
This chapter reviews the existing literature on emotional intelligence training in higher education and the emotional intelligence courses offered at top ranking national universities.
Descriptors: Emotional Intelligence, Training, Higher Education, Courses
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Phusee-orn, Songsak; Ruannakarn, Prasert; Seehamongkon, Yannapat; Piyakul, Araya; Yurayat, Phamornpun; Suk-erb, Winpanee; Tuklang, Supachai; Sirisittanapak, Sudares; Khoungsimma, Pornweenus; Sakulthong, Lucksana – Journal of Education and Training Studies, 2019
This research focuses on intelligence quotient (IQ) of the primary school students in Mahasarakham Province. There are 5,053 subjects from 64 schools under the Mahasarakham Primary Education Office. Stratified Random Sampling is applied in selecting the subjects. The subjects are divided according to their districts and school sizes (Small,…
Descriptors: Intelligence Quotient, Elementary School Students, Foreign Countries
Gillespie-Lynch, Kristen; Hotez, Emily; Zajic, Matthew; Riccio, Ariana; DeNigris, Danielle; Kofner, Bella; Bublitz, Dennis; Gaggi, Naomi; Luca, Kavi – Autism: The International Journal of Research and Practice, 2020
The writing skills of autistic university students have received very little empirical attention. Previous research has suggested that autistic people may struggle with writing, in part, due to challenges with Theory of Mind. However, other research indicates that Theory of Mind difficulties are far from universal in autism, varying across…
Descriptors: Writing Skills, Autism, Pervasive Developmental Disorders, College Students
Gillespie-Lynch, Kristen; Hotez, Emily; Zajic, Matthew; Riccio, Ariana; DeNigris, Danielle; Kofner, Bella; Bublitz, Dennis; Gaggi, Naomi; Luca, Kavi – Grantee Submission, 2020
The writing skills of autistic university students have received very little empirical attention. Previous research has suggested that autistic people may struggle with writing, in part, due to challenges with Theory of Mind. However, other research indicates that Theory of Mind difficulties are far from universal in autism, varying across…
Descriptors: Writing Skills, Autism, Pervasive Developmental Disorders, College Students
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
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Hao, Jianjiang; Guo, Jiong; Wang, Charles Xiaoxue – TechTrends: Linking Research and Practice to Improve Learning, 2021
The 24th Global Chinese Conference on Computers in Education (GCCCE) was held September 12-16, 2020 at Northwest Normal University, Lanzhou, China. The GCCCE adopted a hybrid conference format for the first time, combining traditional face-to-face sessions and online live streaming to reduce the impact from the Covid-19 pandemic. The GCCCE hosted…
Descriptors: Educational Innovation, Computer Uses in Education, Educational Change, Artificial Intelligence
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