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Fatih Yavuz; Özgür Çelik; Gamze Yavas Çelik – British Journal of Educational Technology, 2025
This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Japjee Kaur Kohli – Higher Education for the Future, 2025
In the twenty-first century, artificial intelligence (AI) will change the way organizations conduct their daily operations. In addition, cutting-edge digital technologies like AI, Internet of things, augmented reality/virtual reality, cloud computing, robotics and big data will have a significant impact on the nature of future jobs. This…
Descriptors: Artificial Intelligence, Computer Software, Internet, Clothing
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
Sena Sayici; Selami Aydin – Online Submission, 2025
Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Xiaochen Wang; Yang Gao; Qikai Wang; Panpan Zhang – European Journal of Education, 2025
The rise of artificial intelligence (AI) has significantly impacted education, yet few scholars have explored AI-assisted classrooms, particularly in language education in China. Understanding the roles of classroom climate, AI literacy, and resilience is essential, as these factors foster positive learning environments and enhance student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Michael Pin-Chuan Lin; Daniel H. Chang; Philip H. Winne – Educational Technology Research and Development, 2025
A chatbot is artificial intelligence software that converses with a user in natural language. It can be instrumental in mitigating teaching workloads by coaching or answering student inquiries. To understand student-chatbot interactions, this study is engineered to optimize student learning experience and instructional design. In this study, we…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Computer Mediated Communication
Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
Xiaohua Liu – International Journal of Technology in Education, 2025
Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…
Descriptors: Teacher Attitudes, Technological Literacy, Pedagogical Content Knowledge, Computer Software
Amin Shahini – Language Learning in Higher Education, 2025
In recent years, Social Networking Sites (SNSs) have witnessed a substantial surge in global user adoption. Apart from their primary intended functionalities, these platforms have been increasingly utilized for language learning purposes. However, the extent to which they cater to the needs of language learners remains a longstanding question. The…
Descriptors: Social Media, Student Attitudes, Social Networks, English (Second Language)
Emma Whewell; Helen Caldwell; Helen Tiplady; Beth Garrett – Technology, Pedagogy and Education, 2025
This article analyses interactions between initial teacher education students and teacher educators in a UK university, when reflecting upon teaching behaviours. It trialled the use of video collaboration software in enabling reflective practice, to support experienced teachers' mentoring skills and novice teachers' reflective skills. The software…
Descriptors: Preservice Teachers, Teacher Educators, College Students, College Faculty
Nicole A. Flink; Hulda G. Black; Rebecca Dingus – Marketing Education Review, 2025
Students who have a comprehensive understanding of their potential career paths are better able to make informed decisions regarding their professional futures. Providing classroom activities and assignments designed for career exploration is important to help instructors facilitate student experiences for learning about career paths, supporting a…
Descriptors: Coaching (Performance), Artificial Intelligence, Computer Software, Career Development
Muhiddin Furkan Kiliç; Afife Zehra Yurtsever; Feyza Açikgöz; Beste Basgut; Burcu Mavi; Ezgihan Ertuç; Sinem Sevim; Tuhan Oruk; Yavuz Selim Kiyak; Tuncay Peker – Anatomical Sciences Education, 2025
Traditional education often relies on passive learning approaches, whereas modern medical students increasingly seek interactive, technology-enhanced experiences. Despite the growing use of digital tools in anatomy education, there remains a lack of structured, student-centered 3D modeling courses embedded within the undergraduate medical…
Descriptors: Anatomy, Medical Education, Medical Students, Learner Engagement
Vaiopoulou, Julie; Papadakis, Stamatios; Sifaki, Eirini; Kalogiannakis, Michail; Stamovlasis, Dimitrios – Education and Information Technologies, 2023
This study explored certain popular educational apps' vital characteristics and potential profiles (n1 = 50) for kindergarten kids. The profile analysis involved a categorization ascended from an evaluation process conducted by pre-service early childhood teachers' (n2 = 295) at the University of Crete, Greece, using a new instrument, validated in…
Descriptors: Foreign Countries, Young Children, Kindergarten, Educational Technology
Shaheen, Muhammad – Interactive Learning Environments, 2023
Outcome-based education (OBE) is uniquely adapted by most of the educators across the world for objective processing, evaluation and assessment of computing programs and its students. However, the extraction of knowledge from OBE in common is a challenging task because of the scattered nature of the data obtained through Program Educational…
Descriptors: Undergraduate Students, Programming, Computer Science Education, Educational Objectives