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Direct linkBagdi, Himanshu; Bulsara, Hemantkumar P.; Sankar, Deepthi; Sharma, Latika – International Journal of Educational Management, 2023
Purpose: This study aims to identify factors affecting Generation Z (Gen-Z)'s online learning (OL) behavioural intention (BI) using the extended technology acceptance model by investigating gender differences in the BI of Indian students to adopt OL. Design/methodology/approach: The proposed model was tested on 284 students from a higher education…
Descriptors: Age Groups, Electronic Learning, Student Behavior, Gender Differences
K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
Download full textPadmavathi, M. – Journal on School Educational Technology, 2016
This study attempts to analyze student-teachers' attitude towards the use of computers for classroom teaching. Four dimensions of computer attitude on a Likert-type five-point scale were used: Affect (liking), Perceived usefulness, Perceived Control, and Behaviour Intention to use computers. The effect of student-teachers' subject area, years of…
Descriptors: Student Teachers, Student Teacher Attitudes, Computer Uses in Education, Intention
