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Lisa Marie Chervenak – ProQuest LLC, 2024
While instances of cut and paste plagiarism among undergraduate college students has decreased over the past several years, a new form of plagiarism has emerged that often goes undetected by these software systems. Paraphrasing websites allow users to enter information from a source, which the website will then reword, giving the appearance of an…
Descriptors: Undergraduate Students, For Profit Colleges, Plagiarism, Writing (Composition)
Bima Sapkota; Liza Bondurant – International Journal of Technology in Education, 2024
In November 2022, ChatGPT, an Artificial Intelligence (AI) large language model (LLM) capable of generating human-like responses, was launched. ChatGPT has a variety of promising applications in education, such as using it as thought-partner in generating curricular resources. However, scholars also recognize that the use of ChatGPT raises…
Descriptors: Cognitive Processes, Difficulty Level, Artificial Intelligence, Natural Language Processing
Saleem Malik; K. Jothimani – Education and Information Technologies, 2024
Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine learning and feature selection to gain insights into student performance. However, many feature selection algorithms lack performance forecasting systems, limiting their…
Descriptors: Algorithms, Decision Making, At Risk Students, Learning Management Systems
Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
Md Sazzad Hossain; Debora Wenger – Journalism and Mass Communication Educator, 2024
Journalism is a highly technology-dependent profession, and students, educators, and professionals must develop specific digital skills. This study uses the theory of disruptive innovation to examine how journalism educators adapt their programs in response to changing media environments. A survey of accredited journalism and mass communication…
Descriptors: Journalism Education, Educational Change, Educational Technology, Technology Uses in Education
Sanja Milic; Vlado Simeunovic – European Journal of Education, 2024
Gender stereotypes, as a cause and consequence of deeply rooted attitudes, values and norms, directly affect the discovery and development of gifted potentials. Given the fact that high abilities are most successfully identified and properly developed in early school age, the aim of the study is to investigate the existence of gender differences…
Descriptors: Foreign Countries, Sex Stereotypes, Gender Differences, Elementary School Students
Love Börjeson; Chris Haffenden; Martin Malmsten; Fredrik Klingwall; Emma Rende; Robin Kurtz; Faton Rekathati; Hillevi Hägglöf; Justyna Sikora – College & Research Libraries, 2024
This article provides an account of the making of KBLab, the data lab at the National Library of Sweden (KB). The first part discusses the work involved in establishing a lab as both a physical and a digital site for researchers to use digital collections at previously unimaginable scales. The second part explains how the lab has deployed the…
Descriptors: Foreign Countries, Government Libraries, Artificial Intelligence, Computer Networks
Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
Ozlem Uzumcu; Hasan Acilmis – Technology, Knowledge and Learning, 2024
The aim of this study is to examine the integration of AI-powered tools into the lessons in the context of the diffusion of innovation theory. One of the main features of AI-powered tools is that they provide personalized results or feedback. For this reason, it is important for students to experience these tools in person, that is, to interact…
Descriptors: Instructional Innovation, Artificial Intelligence, Teaching Methods, Computer Software
Matt I. Brown; Patrick R. Heck; Christopher F. Chabris – Journal of Autism and Developmental Disorders, 2024
The Social Shapes Test (SST) is a measure of social intelligence which does not use human faces or rely on extensive verbal ability. The SST has shown promising validity among adults without autism spectrum disorder (ASD), but it is uncertain whether it is suitable for adults with ASD. We find measurement invariance between adults with (n = 229)…
Descriptors: Interpersonal Competence, Autism Spectrum Disorders, Emotional Intelligence, Verbal Ability
Jia-Yin Wang; Hui-Ting Wang; Fang Yu Lin; Wen-Wen Chen – Educational Technology & Society, 2024
Developing adaptive skills poses a significant challenge for children with autism spectrum disorder (ASD). Personal hygiene, including hand-washing, was particularly important during the COVID-19 pandemic. Video self-modeling (VSM) is an effective strategy for teaching adaptive skills due to its inherent individualization nature. However, the…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Hygiene, Skill Development
Mia S. Shaw; S. R. Toliver; Tiera Tanksley – Reading Research Quarterly, 2024
This article utilizes speculative and visual storytelling alongside interdisciplinary research on artificial intelligence (AI) and algorithmic oppression to engage in a thought experiment on how literacy studies might refuse the oppressionist logics currently undermining the possibilities of AI in literacy education. As technological advancements…
Descriptors: Digital Literacy, Literacy Education, Artificial Intelligence, Technology Uses in Education
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
Noawanit Songkram; Supattraporn Upapong; Heng-Yu Ku; Narongpon Aulpaijidkul; Sarun Chattunyakit; Nutthakorn Songkram – Interactive Learning Environments, 2024
This research proposes the integration of robotic education and scenario-based learning (SBL) paradigm for teaching computational thinking (CT) to enhance the computational abilities of primary school students, based on digital innovation and a teaching assistant robot acceptance model. The sample group consisted of 532 primary school teachers and…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Grade 1
Mananshaya Phetruchee; Sakgavin Siriwattanakula; Phakamas Jirajarupat – International Journal of Education and Literacy Studies, 2024
Mixed-methods research is employed to investigate the implementation of the Stanislavski system in the study of Thai court drama. This study investigates the successful application of the Stanislavski method in Thai Court Theater, focusing on its role in enabling actors to portray emotions with accuracy and conviction. Research methods encompass…
Descriptors: Drama, Teaching Methods, Learning Processes, Theater Arts

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