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Anna J. Markowitz; Walter Herring; Isabelle Fares – Teachers College Record, 2025
Background/Context: The COVID-19 pandemic disrupted family life in myriad ways, including increasing family stress and reducing access to early care and education experiences. Such factors suggest that children's early learning and development may have been negatively impacted, which would have long-term implications for necessary school support.…
Descriptors: COVID-19, Pandemics, School Readiness, Kindergarten
Francisco Ortin; Alonso Gago; Jose Quiroga; Miguel Garcia – International Educational Data Mining Society, 2025
Online learning has enhanced accessibility in education, but also poses significant challenges in maintaining academic integrity during online exams, particularly when students are prohibited from accessing unauthorized resources through the Internet. Nonetheless, students must remain connected to the Internet in order to take the online exam.…
Descriptors: Electronic Learning, Computer Assisted Testing, Access to Internet, Synchronous Communication
Jiawei Li; Qianru Lyu; Wei Qiu; Andy W. H. Khong – International Educational Data Mining Society, 2025
Deep learning-based course recommendation systems often suffer from a lack of interpretability, limiting their practical utility for students and academic advisors. To address this challenge, we propose a modular, post-hoc explanation framework leveraging Large Language Models (LLMs) to enhance the transparency of deep learning-driven…
Descriptors: Artificial Intelligence, Information Systems, Technology Uses in Education, Course Selection (Students)
Jiayi Zhang; Kirk Vanacore; Ryan S. Baker; Nabil Ch; Caitlin Mills; Owen Henkel – International Educational Data Mining Society, 2025
Mastery learning -- requiring students to achieve proficiency in a topic before advancing -- is a well-established and effective teaching method. Digital learning systems support this approach by personalizing content sequences, enabling students to focus on practicing topics they have not yet mastered. To achieve this, digital learning systems…
Descriptors: Elementary School Students, Junior High School Students, Mastery Learning, Teaching Methods
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
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
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
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
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
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
Muhammad Zahrudin Afnan; Rinie Pratiwi Puspitawati; I. Isnawati – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
Traditional approaches to intelligence often neglect the diverse cognitive profiles of learners, potentially limiting the inclusivity and effectiveness of educational practices. This review article examines the application of Howard Gardner's Theory of Multiple Intelligences (MI) within the context of biology education, with a particular focus on…
Descriptors: Multiple Intelligences, Learning Processes, Biology, Science Instruction
Antonina Andreeva; Evgenia Tuchkevich – Journal of Teaching and Learning, 2025
In contemporary higher education, the master's level plays a critical role in developing high-level professionals, particularly among Generation-Z students. This stage is marked by significant psychological, social, and professional development, requiring innovative educational strategies that align with the unique traits of this digital-native…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Masters Programs
Tiansheng Xia; Xinyi Pan; Meitao Cao; Jiayue Guo – Education and Information Technologies, 2025
Reading provides college students with vital assistance in their efforts to expand their knowledge base. Artificial intelligence (AI)-assisted reading tools have been developed with the aim of improving students' reading efficiency and reading experience. However, the acceptance of such tools and relevant influencing factors remain unknown. This…
Descriptors: College Students, Student Attitudes, Adoption (Ideas), Artificial Intelligence
Meltem Yildiz; Jale Eldeleklioglu – Journal of Theoretical Educational Sciences, 2025
The perception of social support during adolescence is a primary interpersonal resource that is critical for effective stress management. Moreover, it has been associated with psychological well-being during this sensitive developmental period. Secure attachment, indicative of positive internal working models, has been found to be associated with…
Descriptors: High School Students, Attachment Behavior, Social Support Groups, Adolescents
Mei Peng Low; Tai Ming Wut; Wei Fong Pok – Education and Information Technologies, 2025
The rapid pace of digital transformation and innovation has significantly driven the growth of generative Artificial Intelligence (AI). Over the past two years, AI has taken a prominent role due to its effectiveness and productivity thereby infiltrating all sectors, including the education sector. Despite growing interest in AI in education, most…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Student Centered Learning

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