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Mehedi Hasan Anik; Shahriar Nafees Chowdhury Raaz; Nushat Khan – International Journal of Artificial Intelligence in Education, 2025
Artificial intelligence (AI) technologies, especially language models like ChatGPT, are revolutionizing academic writing by generating human-like text and supporting thesis development. While some research explores ChatGPT in academic writing, none compares the experiences of young researchers using AI for the first time versus non-users in their…
Descriptors: Artificial Intelligence, Theses, Research, Science Education
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Tamás Keller; Hubert János Kiss – Journal of Early Adolescence, 2025
A growing body of experimental literature investigates how student-level background characteristics are associated with dishonest behavior in early adolescence. However, results from prior studies are mixed. To revisit earlier findings, we conducted a comprehensive literature review and executed two consecutive, large-scale, incentivized surveys…
Descriptors: Foreign Countries, Literature Reviews, Student Surveys, Elementary School Students
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Sung-eun Baek; Christine Myung-hee Ahn – Journal of Psychoeducational Assessment, 2025
The purpose of this study was to evaluate the reliability and validity of the Korean Behavior Assessment System for Children 3rd Edition Teacher Rating Scales--Child Form (K·BASC-3 TRS-C). We used the generalized partial credit model based on item response theory (IRT) to examine the internal validity of the scale's items and the latent trait in a…
Descriptors: Reliability, Teacher Attitudes, Elementary Secondary Education, Asians
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Kathleen M. Randolph; Annemarie L. Horn; Jennifer A. Sears; Brittany L. Hott; Tammy Willis – Journal of Special Education Technology, 2025
Rural schools face unique challenges providing high-quality professional development opportunities due to barriers such as geographic isolation and limited resources. This article provides information on three coaching models, eCoaching, iCoaching, and teacher dyad coaching. Each model has the potential to leverage technology to ameliorate…
Descriptors: Coaching (Performance), Rural Schools, Models, Educational Technology
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Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
NaYoung Hwang; Cory Koedel – Annenberg Institute for School Reform at Brown University, 2025
We study the peer effects of grade retention in the context of Indiana's statewide third-grade retention policy. When a retention occurs, it changes the peer group for two cohorts: rising fourth graders who lose a peer and rising third graders who gain a peer. We identify peer effects in both cohorts by leveraging plausibly exogenous variation in…
Descriptors: Grade Repetition, Grade 3, Educational Policy, Elementary School Students
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Yuxia Ma – European Journal of Education, 2025
The benefits of Generative Artificial Intelligence (GenAI) in enhancing second language (L2) learning are well established. However, these advantages can only be realised if learners are willing to adopt the technology. This study, grounded in the Theory of Planned Behaviour (TPB), investigated the factors influencing the behavioural intention to…
Descriptors: College Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Gifty Edna Anani; Ernest Nyamekye; Daniel Bafour-Koduah – Discover Education, 2025
This research explores postgraduate students' attitudes and use of Artificial Intelligence (AI) tools in academic writing, using the Theory of Planned Behavior (TPB). Guided by the mixed method approach, quantitative and qualitative measures like questionnaires and interviews were adopted to gather data from postgraduate students. Descriptive…
Descriptors: Artificial Intelligence, Student Attitudes, Academic Language, Universities
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Taufik Slamet; Thomas Brush; Kyungbin Kwon – Technology, Knowledge and Learning, 2025
This study aims to investigate the effects of competition through a digital leaderboard in gamified online discussions on learners' behavioral and cognitive engagement in learning. Twenty-three graduate students pursuing master's degree in instructional technology in a public university in Indonesia were involved in a five-week quasi-experiment (N…
Descriptors: Competition, Gamification, Computer Mediated Communication, Group Discussion
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Shivakami Rajan; L. R. Niranjan – International Journal of Educational Management, 2025
Purpose: This research examines the complex relationship between usage of Chat Generative Pre-Trained Transformer (ChatGPT) amongst student and their creativity, learning and assessment using empirical data collected from postgraduate students. In addition, the study explores the student's intrinsic motivation for usage to understand student…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Creativity
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Thijs Loonstra; Valentina C. Tassone; Zoë Robaey; Perry den Brok – Environmental Education Research, 2025
While environmental problems are urgent in modern society, they are especially difficult to tackle because of their normative and politically controversial nature. Universities may choose different theoretical paradigms for the teaching of environmental problems. However, limited theoretical and/or practical analysis has been undertaken of the…
Descriptors: Environmental Education, Models, Social Problems, Outcomes of Education
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Hermann Astleitner; Sarah Schlick – Active Learning in Higher Education, 2025
Social media has a strong influence on the everyday lives of college students. A particular question of advanced research interest is whether social media also play a role when attending class. This exploratory study was aimed at designing a theoretical model that embraces such concepts. First, we identified that identity development, learning…
Descriptors: Social Media, College Students, Self Concept, Computer Use
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Joseph Calvin Gagnon; Sungur Gurel; Brian R. Barber; David E. Houchins; Holly B. Lane; Erica D. McCray; Richard G. Lambert – Journal of Emotional and Behavioral Disorders, 2025
To address instructional challenges and poor academic outcomes of youth in juvenile correctional facilities (JCFs), we must understand how and why some teachers are effective and why students are responsive to instruction in these settings. We observed and coded teacher--student instructional interactions from 733 fifteen-minute classroom reading…
Descriptors: Correctional Education, Delinquency, Males, Students
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Mubarak, Ahmed Ali; Cao, Han; Ahmed, Salah A. M. – Education and Information Technologies, 2021
Analysis of learning behavior of MOOC enthusiasts has become a posed challenge in the Learning Analytics field, which is especially related to video lecture data, since most learners watch the same online lecture videos. It helps to conduct a comprehensive analysis of such behaviors and explore various learning patterns for learners and predict…
Descriptors: Learning Analytics, Online Courses, Video Technology, Artificial Intelligence
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Shrader, Charles B.; Ravenscroft, Sue Pickard; Kaufmann, Jeffrey B.; Hansen, Kyle – Decision Sciences Journal of Innovative Education, 2021
Although classroom cheating violates academic standards of behavior, it occurs frequently. Although the research on cheating is extensive, few researchers have interviewed students directly involved in cheating behaviors. We explore interview responses gathered from a cohort of graduate accounting students, some of whom colluded on an assignment,…
Descriptors: Graduate Students, Accounting, Student Attitudes, Cheating
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