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Jozsef Katona; Klara Ida Katonane Gyonyoru – TechTrends: Linking Research and Practice to Improve Learning, 2025
In the context of the digital economy, programming proficiency is an essential competency that promotes upward socio-economic mobility and expands career opportunities. However, students from socially disadvantaged backgrounds often face significant barriers to acquiring these skills, such as limited access to technology and educational resources.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Programming, Computer Science Education
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Abderrahim Agnaou; Hayat El Asri – Journal of Educational Research and Practice, 2025
The rapid development of large language models (LLMs) has sparked growing interest in their potential to transform education. This study explores how LLMs influence collaborative learning, focusing on student creativity, critical thinking, problem-solving, and collective intelligence. Specifically, it investigates whether artificial intelligence…
Descriptors: Artificial Intelligence, Cooperative Learning, Creativity, Critical Thinking
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Hong Thi Nguyen; Lan Thi Pham; Viet Anh Nguyen; Kien Trung Do – International Journal of Information and Learning Technology, 2025
Purpose: Predicting learner outcomes in blended learning (BL) is a new problem with many challenges, as learner data must be collected in both face-to-face and online environments. The purpose of this article is to identify the best method for building a model to predict student performance in BL and to determine the appropriate time for early…
Descriptors: Blended Learning, Student Behavior, In Person Learning, Artificial Intelligence
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Yavuz Dinc; Sarah Malone; Verena Ruf; Steffen Steinert; Stefan Küchemann; Jochen Kuhn – Physical Review Physics Education Research, 2025
Prior research has demonstrated that students' performance on physics test items can be accurately predicted using machine learning algorithms based on their gaze behavior. These gaze data are typically recorded during item completion and capture students' visual attention to both the verbal item stem and accompanying visual representations, such…
Descriptors: Artificial Intelligence, Computer Uses in Education, Eye Movements, Test Items
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Sarah Hewitt Powers – Journal of Educational Leadership and Policy Studies, 2025
The Powers Practice is a tool developed to gain insight into the competencies of effective higher education leaders and as a tool to increase self-reflection practices. The Internal Family Systems model serves as the foundational theory and a "VUCA lens" describes the high stress conditions of higher education. The tool proved to be…
Descriptors: Higher Education, Instructional Leadership, Stress Variables, Competence
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Christopher Basgier; Lydia Wilkes – College Composition and Communication, 2025
From an unsettled, ambivalent middle between discourses of generative AI integration and refusal, we offer a critical-ethical stance for AI-engaged writing assignments. We apply a critical thinking framework to these assignments, assert critical AI literacy as a kind of critical thinking, and discuss how critical thinking and critical AI literacy…
Descriptors: Artificial Intelligence, Writing Assignments, Critical Thinking, Digital Literacy
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Swapna Kumar; Ariel Gunn – Innovations in Education and Teaching International, 2025
Amidst discussions about the use of Generative AI (GenAI) for academic research, their potential for doctoral research or literature reviews is an area beginning to be explored. This qualitative study explores doctoral students' perceptions of the value of GenAI tools in the literature review process. The analysis of 26 participants' reflections…
Descriptors: Doctoral Students, Student Attitudes, Artificial Intelligence, Technology Uses in Education
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Jussi S. Jauhiainen; Agustín Garagorry Guerra – Innovations in Education and Teaching International, 2025
The study highlights ChatGPT-4's potential in educational settings for the evaluation of university students' open-ended written examination responses. ChatGPT-4 evaluated 54 written responses, ranging from 24 to 256 words in English. It assessed each response using five criteria and assigned a grade on a six-point scale from fail to excellent,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Writing Evaluation
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Timos Almpanis; Dom Conroy; Paul Joseph-Richard – Electronic Journal of e-Learning, 2025
The advent of Generative AI (GAI) tools such as ChatGPT, Google Gemini, and Microsoft Copilot has significantly impacted higher education. This exploratory study investigates the current perspectives of lecturers in Human Resource Management (HRM) and Psychology on adapting assessment strategies in response to GAI developments. Through an online…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Faculty
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Junbin Wang; Chuanbo Zhang – SAGE Open, 2025
This study aims to explore the criteria and success factors for the application of Artificial Intelligence Generated Content (AIGC) in higher education, and guide its practice through the construction of a comprehensive system and framework. This study first identifies seven primary criteria, encompassing technical robustness, integration with…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
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Zhaojie Lv; Limin Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The latest advancements in AI are reshaping the way we learn foreign languages through listening comprehension. However, the empirical studies on how artificial intelligence in English listening teaching can effectively improve EFL learners' listening proficiency are still limited. To address this gap, this study aims to investigate the role of…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Instruction, College Students
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Laura Zampini; Alessandra Provera; Paola Zanchi; Gaia Silibello; Domenica Mastromattei; Francesca Angeleri; Maria Antonella Costantino; Paola Francesca Ajmone – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study investigated the language and cognitive skills of preschool children with sex chromosome trisomies (SCTs) with and without a co-diagnosis of developmental language disorder (DLD), considering possible differences between SCT types (i.e., XXX, XXY, and XYY). Method: Fifty-five children with a prenatally diagnosed SCT (19 XXX, 25…
Descriptors: Genetic Disorders, Preschool Children, Developmental Delays, Language Impairments
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Brandi N. Frisby; Joe C. Martin; Jessalyn I. Vallade; Renee Kaufmann – Basic Communication Course Annual, 2025
As generative AI grows in popularity, so do the concerns regarding whether this technology has the capability to effectively teach written and oral communication skills, thereby affecting the perceived value students place on introductory communication courses (ICC). This study sought to address that concern by asking students to provide…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Communication Skills
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Anila Virani; Ahsan Mollani; Piper Jackson – Knowledge Management & E-Learning, 2025
Social media data has the potential to enable the exploration of public perspectives on health conditions, interventions and policies. However, the resource-intensive nature of qualitative analysis creates a barrier to the timely utilization of social media data. Artificial intelligence can provide innovative ways to reduce the burden by…
Descriptors: Artificial Intelligence, Natural Language Processing, Social Media, Public Health
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Michelle Ehrenpreis; John DeLooper – portal: Libraries and the Academy, 2025
In November 2019, the Leonard Lief Library implemented Ivy.ai, a proprietary chatbot on its website. This implementation was the first academic library installation of a vendor-supplied chatbot to be discussed in the professional literature. This chatbot functioned as a new tool that assisted users seeking information from the library website.…
Descriptors: Academic Libraries, Artificial Intelligence, Natural Language Processing, Intelligent Tutoring Systems
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