Perception About Usage of GAI Tools in Teaching and Research by Teachers and Students in Higher Education Institutions DOI
Suresh Chinna, Sunkesula Mahammad Ali,

V. Devaki

и другие.

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 381 - 412

Опубликована: Дек. 20, 2024

In recent days, due to the evolution of Artificial Intelligence, education and research are in process rapid development. The AI, particularly GAI tools such as individualized learning intelligent tutoring systems, recreating traditional pedagogies methodologies. Consequently, this chapter, global practices AI higher explored together with their applications Journal publications. Surveys on acceptance reveal mixed perceptions among students faculty. While value AI's experiences self-paced study options, faculty acknowledge its ability automate tasks but worried about data privacy students' ethical use AI. Therefore, chapter underlines a balanced method for integration, advocating technical advancements that advocate educational values. To end, recommendations guidelines adopting provided special emphasis role educators be aware committed conform Institutional policies.

Язык: Английский

Uncovering personalized L2 motivation and self-regulation in ChatGPT-assisted language learning: A hybrid PLS-SEM-ANN approach DOI Creative Commons
Amir Reza Rahimi,

Mahshad Sheyhkholeslami,

Ali Mahmoudi Pour

и другие.

Computers in Human Behavior Reports, Год журнала: 2024, Номер 17, С. 100539 - 100539

Опубликована: Дек. 7, 2024

Язык: Английский

Процитировано

6

Teachers' AI Readiness in Chinese as a Foreign Language Education: Scale Development and Validation DOI
Nuoen Li, Yu Liang

System, Год журнала: 2025, Номер unknown, С. 103597 - 103597

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Scaling up Computational Thinking skills in Computer-assisted Language Learning (CTsCALL) and its fitness with language learners’ intentions to use Virtual Exchange: A bi-symmetric approach DOI Creative Commons
Amir Reza Rahimi, Ana Sevilla‐Pavón

Computers in Human Behavior Reports, Год журнала: 2025, Номер unknown, С. 100607 - 100607

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Modeling the relationship between online L2 motivational self-system and EFL learners’ virtual exchange self-regulations: the mediator and moderator roles of L2 grit DOI Creative Commons
Amir Reza Rahimi, Ana Sevilla‐Pavón

ReCALL, Год журнала: 2025, Номер unknown, С. 1 - 20

Опубликована: Фев. 3, 2025

Abstract While previous studies in computer-assisted language learning have extensively explored sociolinguistic factors, such as cultural competence, important psycholinguistic factors online L2 motivational self-system, grit, and self-regulation relation to virtual exchange (VE) remained widely unexplored. To address this gap, a study was conducted with 92 Spanish English foreign learners who exchanged culture Cypriot Irish students responded questionnaires adapted for the context, part of SOCIEMOVE (Socioemotional Skills Through Virtual Exchange) Project. The partial least squares structural equation modeling approach showed that set positive personal goals future evaluate their current progress VE can regulate it. Interestingly, sign authenticity gap found since learners’ motivation learn higher compared contexts, resulting more effort consistency interest setting goals, evaluating progress, asking help from others. Furthermore, grit moderated mediated correlation between self-regulation, indicating success requires long-term perseverance interest. Accordingly, new conceptual framework developed. In addition, one main implications is teachers employ should focus on needs they wish achieve when exchanging information rather than only focusing accomplishments based course syllabus.

Язык: Английский

Процитировано

0

Language learners’ surface, deep, and organizing approaches to ChatGPT-assisted language learning: What contextual, individual, and ChatGPT-related factors contribute? DOI Creative Commons
Amir Reza Rahimi, Zahra Mosalli

Smart Learning Environments, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 6, 2025

Abstract Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted learning (CALL). However, further research in this area is necessary to apply a theoretical framework pedagogical-oriented perspective. Therefore, study, researchers utilized students' approaches environment (SAL) extended it by incorporating multilevel perspective that encompasses contextual, individual, ChatGPT-related factors. Accordingly, integrated their syllabus guided learners three universities Ardabil City use during academic year 2023–2024. In end, 214 participants answered study questionnaire. The result partial least squares modeling (PLS-SEM), Importance performance map analysis (IPMA) showed leadership, where university executive provides atmosphere for norms integration, could shape learners’ organizing approach using daily schedule. Additionally, personalization anthropomorphism were among significant factors shaped deep as source meaningful, cross-referenced CALL tool. low feedback reliability, privacy concerns, ChatGPT's perceived value contributed surface minimizing ChaGPT-related factor. On basis these findings, introduces new conceptual artificial intelligence (AILL) suggests leadership should be promoted at macro-contextual level might cover other micro-contextual, personal, factors, including price-value, personalization, motivation, which are important elements CHAGPTALL.

Язык: Английский

Процитировано

0

Toward the Language MOOC (LMOOC’s) low dropout rate: The control-value theory of persistency in LMOOC (CVTPLMOOC) DOI Creative Commons
Amir Reza Rahimi, Babak Daneshvar Ghorbani

Computers in Human Behavior Reports, Год журнала: 2025, Номер 17, С. 100593 - 100593

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

0

Artificial intelligence in higher education institutions: review of innovations, opportunities and challenges DOI Creative Commons

Samuel Ocen,

Joseph Elasu, Sylvia Manjeri Aarakit

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Март 3, 2025

Artificial intelligence is revolutionizing industries including institutions of higher learning as it enhances teaching and processes, streamline administrative tasks drive innovations. Despite the unprecedented opportunities, AI tools if not used correctly, can be challenging in education institutions. The purpose this study was to comprehensively review innovations, opportunities challenges associated with use Education learning. A systematic literature methodology adopted locate select existing studies, analyze synthesize evidence arrive at clear conclusion about current debate area study. Following PRISMA, analyzed a total 54 documents that met inclusion exclusion criteria set for selection documents. unveiled many enhanced research capabilities, automation among others. Intelligence are found refine different units include ethical concerns, integrity issues data fabrication issues. With notwithstanding, benefits cannot over emphasized. remains powerful tool research, tasked, personalized learning, inclusivity accessibility educational content all. Emphasis should put regulatory frameworks detailing how such while maintaining level standards required.

Язык: Английский

Процитировано

0

Opportunities and Challenges of Using ChatGPT as a Teaching Assistant in English Language Teaching: A Systematic Literature Review DOI

Yaping Wang,

Yasmin Hanafi Zaid,

Jimei Li

и другие.

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

0

Linear regression model to predict the use of artificial intelligence in experimental science students DOI
Elizeth Mayrene Flores Hinostroza, Derling José Mendoza Velazco, Mercedes Navarro Cejas

и другие.

International Electronic Journal of Mathematics Education, Год журнала: 2024, Номер 20(1), С. em0807 - em0807

Опубликована: Дек. 20, 2024

This study builds on the increasing relevance of technology integration in higher education, specifically artificial intelligence (AI) usage educational contexts. Background research highlights limited exploration AI training programs, particularly within Latin America. has become increasingly pivotal practices, influencing development competencies various disciplines, including experimental sciences. aimed to describe correlation between professional AI, usage, and digital resources among students sciences education program at National University Chimborazo. Methodologically, a quantitative approach was employed, involving structured survey distributed 459 students. Data analysis conducted using multiple regression models establish predictive insights into usage. A linear model developed predict these The revealed significant correlations competencies, resources. highlighted that both are predictors These findings underscore importance developing providing access enhance effective use practices. Limitations future directions discussed.

Язык: Английский

Процитировано

0

Perception About Usage of GAI Tools in Teaching and Research by Teachers and Students in Higher Education Institutions DOI
Suresh Chinna, Sunkesula Mahammad Ali,

V. Devaki

и другие.

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 381 - 412

Опубликована: Дек. 20, 2024

In recent days, due to the evolution of Artificial Intelligence, education and research are in process rapid development. The AI, particularly GAI tools such as individualized learning intelligent tutoring systems, recreating traditional pedagogies methodologies. Consequently, this chapter, global practices AI higher explored together with their applications Journal publications. Surveys on acceptance reveal mixed perceptions among students faculty. While value AI's experiences self-paced study options, faculty acknowledge its ability automate tasks but worried about data privacy students' ethical use AI. Therefore, chapter underlines a balanced method for integration, advocating technical advancements that advocate educational values. To end, recommendations guidelines adopting provided special emphasis role educators be aware committed conform Institutional policies.

Язык: Английский

Процитировано

0