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Direct linkTribikram Budhathoki; Araz Zirar; Eric Tchouamou Njoya; Achyut Timsina – Studies in Higher Education, 2024
The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Adoption (Ideas), Anxiety, Computer Attitudes, Artificial Intelligence
Mei-Rong Alice Chen – Language Learning & Technology, 2024
This study explores the impact of an innovative approach that combines artificial intelligence (AI) chatbot support with collaborative note-taking (CNT) in the comprehension of semantic terms among English as a Foreign Language (EFL) learners. Given the significance of semantics in English language learning, traditional didactic methods often…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Semantics
Download full textKartal, Galip – International Journal of Contemporary Educational Research, 2019
This paper is devoted to exploring the way how the mobile instant messaging WhatsApp is deployed to enhance the learning of a second or foreign language. Therefore, this study set out to investigate the empirical studies related to WhatsApp and language learning published in peer-reviewed journals. Thirty-seven studies were selected after a…
Descriptors: Computer Software, Synchronous Communication, Second Language Learning, Second Language Instruction
Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
Hood, Michelle – Australasian Journal of Educational Technology, 2013
This study examined predictors of students' intentions to access face-to-face (f2f) or online options for lectures and tutorials in a buffet-style blended learning 2nd-year psychology statistics course ("N" = 113; 84% female). Students were aged 18 to 51 years ("M" = 23.16; "SD"= 6.80). Practical and technological…
Descriptors: Blended Learning, Intention, Online Courses, Computer Software
