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Amr Assad; Mohammed Fyadh; Akhmed Kaleel; Mona Gabr – Discover Education, 2025
This paper used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method for data collection and analysis to explore the impact of Artificial Intelligence (AI) on communication and media studies in Arab countries in terms of its contribution to enhancing the learning capabilities of media students and developing their…
Descriptors: Artificial Intelligence, Technology Uses in Education, Mass Media, Media Literacy
Deniz Ozcan Kara; Mustafa Aydogan; Aysenur Celik Sahin; Büsra Iseri Kobal – Psychology in the Schools, 2025
The purpose of this study was to examine the reading and writing motivation of gifted students aged 8-10 years. In the study, the effect of motivation on students' academic achievement and learning processes was addressed, and the relationships between reading and writing motivation and variables such as age, gender, number of siblings and…
Descriptors: Reading Motivation, Writing Attitudes, Learning Motivation, Student Attitudes
Bo Sichterman; Omid Noroozi; Josien Boetje; Stan van Ginkel; Hassan Khosravi; Johan Versendaal – Innovations in Education and Teaching International, 2025
The integration of Artificial Intelligence (AI) into peer learning has gained significant attention with demonstrated benefits in offering personalised support and enhancing learning outcomes. However, an overview of student characteristics, learning environment conditions, learning processes, learning outcomes, and their interplay constituting…
Descriptors: Literature Reviews, Meta Analysis, Peer Evaluation, Peer Teaching
Chun Yan Enoch Sit; Siu-Cheung Kong – Journal of Educational Computing Research, 2024
Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…
Descriptors: Learning Processes, Learning Analytics, Algorithms, Guidelines
Jisun Jung; Xiaoshi Li; Mei Lai – Higher Education: The International Journal of Higher Education Research, 2024
This study explores how master's students perceive their research experiences and interpret the concept of research. Master's education has been regarded as a steppingstone for doctoral study for several decades in many higher education systems; however, the meaning of 'master' has transformed academically and socially. Accordingly, the research…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Student Attitudes
Junhua Xiao – Anatomical Sciences Education, 2024
The flipped classroom teaching model has been widely used in anatomy education to embrace a blended learning strategy. However, the impact that a continuous flipped classroom teaching model exerts on student learning of human topographic anatomy remains unclear. To address this question, student learning experience and performance were compared…
Descriptors: Anatomy, Science Instruction, Teaching Methods, Likert Scales
Diana Rozelin; Sukarno; Muhaimin – Indonesian Journal of English Language Teaching and Applied Linguistics, 2024
This study aimed to determine and describe the influence of psycholinguistics and metacognition on the ability of physics education students to use verbal language in the learning process. Quantitative research is used to measure the level of influence between variables, and then the case study is used to determine the sample. Based on the data,…
Descriptors: Psycholinguistics, Physics, Correlation, Language Skills
Jiyou Jia; Tianrui Wang; Yuyue Zhang; Guangdi Wang – Asia Pacific Journal of Education, 2024
In designing an intelligent tutoring system, a core area of the application of AI in education, tips from the system or virtual tutors are crucial in helping students solve difficult questions in disciplines like mathematics. Traditionally, the manual design of general tips by teachers is time-consuming and error-prone. Generative AI, like…
Descriptors: Problem Solving, Artificial Intelligence, Learning Processes, Prompting
Reilly A. Dempsey Willis; Paulo Vieira Braga – Journal of University Teaching and Learning Practice, 2024
This paper is framed by Nick Zepke's, Vicki Trowler's, and Paul Trowler's concept of student engagement being "chaotic", suffering from "indigestion" and "fuzziness". This study was conducted at a UK higher education institution that recently moved to a "block and blend" delivery approach. We investigated…
Descriptors: Learning Processes, Learner Engagement, Higher Education, College Students
Hussein Meihami; Christopher Alexander – Asian-Pacific Journal of Second and Foreign Language Education, 2024
It is crucial to study how L2 learners use technology when examining the lifespan technology in L2 pedagogy. Therefore, we adopted Gartner's hype cycles to investigate the lifespan of CALL from the perspectives of EFL learners. To this end, we utilized an explanatory narrative design and gathered and analysed the perspectives of 87 EFL learners…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Embracing Artificial Intelligence to Improve Self-Directed Learning: A Cybersecurity Classroom Study
Jim Marquardson – Information Systems Education Journal, 2024
Generative artificial intelligence (AI) tools were met with a mix of enthusiasm, skepticism, and fear. AI adoption soared as people discovered compelling use cases--developers wrote code, realtors generated narratives for their websites, students wrote essays, and much more. Calls for caution attempted to temper AI enthusiasm. Experts highlighted…
Descriptors: Artificial Intelligence, Capstone Experiences, Computer Security, Information Security
Merlin Leunda Martiarena; Marina Padrão Temudo – Journal of Agricultural Education and Extension, 2024
Purpose: To advance understanding about the way endogenous knowledge on mangrove swamp rice (MSR) farming is transmitted, reinvented and negotiated between generations and highlight the implications this has for R4D. Design/Methodology/Approach: Long-term qualitative research using an ethnographic approach, technography and biographies of farmers.…
Descriptors: Foreign Countries, Agriculture, Agricultural Occupations, Productivity
Amanda D. Damiano; Eitel J. M. Lauría; Christian Sarmiento; Ningjing Zhao – Journal of Educational Technology Systems, 2024
This project explored perceptions of ChatGPT in higher education among students and faculty to assess teaching and learning implications of this Generative Artificial Intelligence (Generative AI)-based novel tool. Two theoretical frameworks inspired the project, including "Diffusion of Innovation theory" (Rogers, 1962) and…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Higher Education
Haomin Zhang; Jie Sun; Yuting Han; Song Yin – International Journal of Bilingual Education and Bilingualism, 2024
The current study reported an empirical investigation that tested the collective and individual effects of morphological awareness and cognate awareness on Japanese word learning among Chinese learners of Japanese. 131 Chinese learners of Japanese participated in this study. They completed morphological awareness measurements (morpheme…
Descriptors: Morphology (Languages), Second Language Learning, Second Language Instruction, Japanese
Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making

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