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John D. Hall; Meagan B. Medley; Kristin R. Johnson; Hannah F. Tisdale; Jaylee R. Martinez; Aleise L. Nooner; Zoe C. Douglas; Hayley J. Peoples; Anna G. Chaplain – Journal of Special Education Leadership, 2024
The assessment of Intellectual Disability (ID) under the Individuals With Disabilities Education Improvement Act 2004 (IDEIA; Public Law 108-446, 2004) requires the measurement of both intelligence and adaptive behavior (i.e., conceptual, social, and practical skills). This study expands past research by examining current state special education…
Descriptors: Educational Legislation, Equal Education, Students with Disabilities, Federal Legislation
Jiseung Yoo; Jisun Park; Minsu Ha; Chelcea Mae Lagmay Darang – SAGE Open, 2024
In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…
Descriptors: Preservice Teachers, Cognitive Processes, Automation, Supervision
Jiahui Luo – Assessment & Evaluation in Higher Education, 2024
This study offers a critical examination of university policies developed to address recent challenges presented by generative AI (GenAI) to higher education assessment. Drawing on Bacchi's 'What's the problem represented to be' (WPR) framework, we analysed the GenAI policies of 20 world-leading universities to explore what are considered problems…
Descriptors: Artificial Intelligence, Educational Policy, College Students, Student Evaluation
Natalia Riapina – Business and Professional Communication Quarterly, 2024
This article presents a conceptual framework for integrating AI-enabled business communication in higher education. Drawing on established theories from business communication and educational technology, the framework provides comprehensive guidance for designing engaging learning experiences. It emphasizes the significance of social presence,…
Descriptors: Artificial Intelligence, Business Communication, Higher Education, Technology Uses in Education
Anastasia Chouvalova; Anisha S. Navlekar; Devin J. Mills; Mikayla Adams; Sami Daye; Fatima De Anda; Lisa B. Limeri – International Journal of STEM Education, 2024
Background: Students employ a variety of study strategies to learn and master content in their courses. Strategies vary widely in their effectiveness for promoting deep, long-term learning, yet most students use ineffective strategies frequently. Efforts to educate students about effective study strategies have revealed that knowledge about…
Descriptors: Undergraduate Students, Error Patterns, Student Attitudes, Learning Strategies
Andy Nguyen; Yvonne Hong; Belle Dang; Xiaoshan Huang – Studies in Higher Education, 2024
Artificial Intelligence (AI) has increasingly influenced higher education, notably in academic writing where AI-powered assisting tools offer both opportunities and challenges. Recently, the rapid growth of generative AI (GAI) has brought its impacts into sharper focus, yet the dynamics of its utilisation in academic writing remain largely…
Descriptors: Foreign Countries, Doctoral Students, Artificial Intelligence, Academic Language
Joseph Crawford; Kelly-Ann Allen; Bianca Pani; Michael Cowling – Studies in Higher Education, 2024
Artificial intelligence (AI) may be the new-new-norm in a post-pandemic learning environment. There is a growing number of university students using AI like ChatGPT and Bard to support their academic experience. Much of the AI in higher education research to date has focused on academic integrity and matters of authorship; yet, there may be…
Descriptors: College Students, Artificial Intelligence, Intelligent Tutoring Systems, Interpersonal Relationship
Steven Beyer; Kerstin Arndt – Open Education Studies, 2024
This article focuses on the gap in research concerning the insufficient availability of information and communication technologies for teacher professional learning (TPL) and the consequent scarcity of research on technology acceptance (TA) in TPL. These research gaps are addressed through the implementation of a chatbot designed to support…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Role
Aras Bozkurt; Ramesh C. Sharma – Asian Journal of Distance Education, 2024
This study explores the transformative potential of Generative AI (GenAI) and ChatBots in educational interaction, communication, and the broader implications of human-GenAI collaboration. By examining the related literature through data mining and analytical methods, the paper identifies three main research themes: the revolutionary role of…
Descriptors: Algorithms, Artificial Intelligence, Man Machine Systems, Technology Uses in Education
Ruby A. Daniels; Kathryn Appenzeller Knowles; Amanda Lindner; Emily Naasz – Marketing Education Review, 2024
In marketing, the traditional approach for teaching quantitative concepts uses individual courses, such as marketing research and business statistics. While this pedagogy is common, research indicates it is difficult for students to master quantitative concepts in a single course. Instead, quantitative reasoning (QR) requires repeated practice, so…
Descriptors: Marketing, Business Administration Education, Statistics Education, Spiral Curriculum
Jessica Röhner; Philipp Thoss; Liad Uziel – Educational and Psychological Measurement, 2024
According to faking models, personality variables and faking are related. Most prominently, people's tendency to try to make an appropriate impression (impression management; IM) and their tendency to adjust the impression they make (self-monitoring; SM) have been suggested to be associated with faking. Nevertheless, empirical findings connecting…
Descriptors: Metacognition, Deception, Personality Traits, Scores
Jinhee Kim – Education and Information Technologies, 2024
Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence (AI) system, optimizing the complementary strengths of the two has aroused great expectations and educational innovation potential. Yet, the conceptual guidance of how best to structure and implement teacher-AI collaboration (TAC) while ensuring teachers'…
Descriptors: Teacher Attitudes, Artificial Intelligence, Man Machine Systems, Curriculum Development
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Triin Kivirähk; Evelyn Kiive – International Journal of Developmental Disabilities, 2024
The study investigated the relationship between mathematics achievement, cognitive and motor skills, and general intellectual ability among seventy 10-12 years old students with mild intellectual disability (MID) attending regular school (n = 30) and special school (n = 40). The purpose of the study was to identify the critical deficits teachers…
Descriptors: Cognitive Processes, Mathematics Achievement, Middle School Students, Mild Intellectual Disability
David B. Wandera – Reading Research Quarterly, 2024
We live in an age of artificial intelligence (AI). Open AI, an American artificial intelligence organization, claims that generative chatbots are here to stay. Although computer technology remains unevenly distributed, the presence of AI continues to be felt in many areas of daily life. Further, AI development happens in few countries whose…
Descriptors: Artificial Intelligence, Cultural Influences, Childrens Literature, Colonialism

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