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Xiaoshan Li; Chong Peng – Science & Education, 2025
Collaborative argumentation is a powerful means to promote conceptual understanding of scientific concepts for which students have robust misconceptions. However, eliciting and maintaining productive collaborative argumentation is known to be difficult. Moreover, it is unclear whether and how the factor of communication media might enable or…
Descriptors: Communications, Mass Media, Persuasive Discourse, Cooperative Learning
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Shan Li; Xiaoshan Huang; Tingting Wang; Juan Zheng; Susanne P. Lajoie – Journal of Computing in Higher Education, 2025
Coding think-aloud transcripts is time-consuming and labor-intensive. In this study, we examined the feasibility of predicting students' reasoning activities based on their think-aloud transcripts by leveraging the affordances of text mining and machine learning techniques. We collected the think-aloud data of 34 medical students as they diagnosed…
Descriptors: Information Retrieval, Artificial Intelligence, Prediction, Abstract Reasoning
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Ahrong Beik – Asia Pacific Education Review, 2025
This study aims to compare the influence of learners' self-regulation and sense of presence on online learning. Due to the increasing influence of online learning, self-regulation has received considerable attention. However, it is also claimed that an increased sense of presence can enhance online learning effects. For comparison, a meta-analysis…
Descriptors: Metacognition, Online Courses, Learning Strategies, Comparative Analysis
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Lili Zhang – Educational Technology Research and Development, 2025
Group awareness tools have garnered significant interest within the realm of computer-supported collaborative learning (CSCL), as they foster collaborative learning behaviors. However, in the context of a CSCL environment devoid of rich technologies, supporting group awareness is challenging. Contextualized in a teacher professional development…
Descriptors: Cooperative Learning, Computer Assisted Instruction, College Students, Foreign Countries
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Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2025
This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Error Patterns
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Ernesto Panadero; Alazne Fernández Ortube; Rebecca Krebs; Julian Roelle – Assessment & Evaluation in Higher Education, 2025
Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…
Descriptors: Scoring Rubrics, Teaching Methods, Learning Processes, Feedback (Response)
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Tay McEdwards; Greta R. Underhill – Online Journal of Distance Learning Administration, 2025
Online learning has steadily increased since well before the COVID-19 pandemic (Seaman et al., 2018), but research has yet to explore online students' perceptions of online exam proctoring methods. The purpose of this exploratory study was to understand the perceptions of fully online students regarding types of proctoring at a large state…
Descriptors: Supervision, Computer Assisted Testing, Electronic Learning, Student Attitudes
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Andrew Cavanaugh; D. Joel Whalen – Business and Professional Communication Quarterly, 2025
This article presents a curated collection of nine teaching innovations presented at the Association for Business Communication 89th conference in the "oil capital of the world," Tulsa, Oklahoma, as well as online, in October 2024. Many of the MFA presenters demonstrated how AI can be used, integrated, and analyzed in business…
Descriptors: Artificial Intelligence, Instructional Innovation, Business Communication, Assignments
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Megan Hopkins; Hayley Weddle – Journal of Research on Technology in Education, 2025
Computer Science affords a unique context for English Learners (who we refer to as Multilingual Learners or MLs) to engage in disciplinary practices that support computational thinking and language development. Yet MLs at the secondary level tend to be systematically excluded from CS courses. Through a collaborative research process involving…
Descriptors: Computer Science Education, Multilingualism, Secondary School Students, Educational Policy
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Jyoti Prakash Meher; Rajib Mall – IEEE Transactions on Education, 2025
Contribution: This article suggests a novel method for diagnosing a learner's cognitive proficiency using deep neural networks (DNNs) based on her answers to a series of questions. The outcome of the forecast can be used for adaptive assistance. Background: Often a learner spends considerable amounts of time in attempting questions on the concepts…
Descriptors: Cognitive Ability, Assistive Technology, Adaptive Testing, Computer Assisted Testing
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Rebecca L. Pharmer; Christopher D. Wickens; Benjamin A. Clegg – Cognitive Research: Principles and Implications, 2025
In two experiments, we examine how features of an imperfect automated decision aid influence compliance with the aid in a simplified, simulated nautical collision avoidance task. Experiment 1 examined the impact of providing transparency in the pre-task instructions regarding which attributes of the task that the aid uses to provide its…
Descriptors: Accountability, Automation, Compliance (Psychology), Task Analysis
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Gisella Rossini; Federico Manzi; Cinzia Di Dio; Antonio Iannaccone; Antonella Marchetti; Davide Massaro – European Journal of Psychology of Education, 2025
In the field of educational robotics, it is important to understand the processes trough which child-robot interactions are established during play activities. In terms of socio-material characteristics, robots can vary widely, from more mechanical robots to more anthropomorphic ones. Research has shown that the degree of anthropomorphization of…
Descriptors: Preschool Children, Preschool Education, Toddlers, Robotics
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Chen-Chung Liu; Yen-Yu Lin; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Education and Information Technologies, 2025
Fostering English reading interest and engagement among young learners in non-native settings demands innovative strategies. Previous studies emphasized the role of teachers in enhancing reading interest, for example, through dialogic reading due to its interactive nature. However, this approach is challenging to implement on a large scale.…
Descriptors: Learner Engagement, Gamification, Computer Simulation, Reading Interests
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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
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Adel Saber Alanazi; Houcine Benlaria; Saad Awadh Alanazi – Education and Information Technologies, 2025
This study evaluated the impact of sustainable assistive technology (SAT) on the employment opportunities (EOs) of university graduates with disabilities (GwDs) in the Kingdom of Saudi Arabia (KSA) and examined whether government support (GS) acts as a mediating factor on said impact. A sample of 205 GwDs from five universities in the KSA…
Descriptors: Sustainability, Assistive Technology, Employment Opportunities, College Graduates
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