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Showing 1 to 15 of 27 results Save | Export
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Sandeep Gajendragadkar; Rachna Arora; Rushabh Trivedi; Netra Neelam – Journal of Workplace Learning, 2024
Purpose: This study aims to explore the impact of "Performance Expectancy" (PE) on the performance of Indian automotive manufacturing employees through their "Behavioural Intention" (BI) in the context of digital learning within the volatile, uncertain, complex and ambiguous (VUCA) world. Design/methodology/approach: A…
Descriptors: Intention, Job Performance, Electronic Learning, Expectation
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Venisha Jenifer Dmello; Vadiraj Jagannathrao; Ambigai Rajendran; Shilpa Badrinath Bidi; Tathagata Ghosh; Jaspreet Kaur; Kavitha Haldorai – Cogent Education, 2023
Despite the massive growth and benefits of online learning platforms, engaging and retaining learners showcases a major challenge in the present scenario. There is a dearth of literature on measuring the antecedent factors of learner engagement behavior through mediating effect in the online learning context. Therefore, the current study was…
Descriptors: Electronic Learning, Learner Engagement, Student Behavior, Intention
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Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
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Pawan Kumar; Urvashi Tandon – Education and Information Technologies, 2024
This research aims to study the impact of Values enhanced technology adoption (VETA) in facilitating e-learning among academicians in Higher Education Institutions (HEIs) in North India. This research also validates the moderating role of digital technology by thoroughly understanding the impact of dimensions of VETA on behavioural intention. The…
Descriptors: Foreign Countries, Behavior Patterns, Electronic Learning, Higher Education
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Kashive, Neerja; Phanshikar, Dharini – Smart Learning Environments, 2023
This study aimed to identify the factors, which affect the continuance of mobile learning. The study has looked at epistemological, social, and security risk factors based on Magsayo (Interact Technol Smart Educ 20(2):177-208) and how they affect the perceived functional benefits (PFB) and perceived learner value (PLV). Further locus of control…
Descriptors: Intention, Electronic Learning, Handheld Devices, Value Judgment
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Sweety Shah; Neha Mehta; Anitha Sunil – E-Learning and Digital Media, 2025
The use of information technologies has increased significantly in developing countries like India. Many educational institutes have adopted information and communication technology for academic and administration purposes. While technological devices on college campuses are ubiquitous, students' readiness for E-learning in India has yet to be…
Descriptors: Educational Technology, Electronic Learning, Higher Education, Readiness
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Arif Hasan; Sandeep Raghuwanshi; Hiren Harsora; Prabhat Kumar; Vivek Gupta; Ardhendu Shekhar Singh – Discover Education, 2025
Purpose: The present research is interested in evaluating the Unified Theory of Acceptance and Use of Technology (UTAUT) model and its extra predictors to examine those factors which determine the millennials and elearning issue. The relationship between behaviour intentions (BI) and further process of adopting elearning is the result on which the…
Descriptors: Electronic Learning, Age Groups, Intention, Technology Uses in Education
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Duggal, Sanya – Asian Association of Open Universities Journal, 2022
Purpose: This study aims to identify the most significant factors that influence acceptance of e-learning in India. As e-learning has gained popularity in the wake of the COVID-19 pandemic and continues to be one of the most sustainable methods of education, it is pertinent to examine learners' perception towards its acceptance. There is limited…
Descriptors: Electronic Learning, Foreign Countries, Student Attitudes, Adult Students
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Patil, Harshali; Undale, Swapnil – Education and Information Technologies, 2023
The COVID-19 pandemic has prompted the adoption of an e-Learning pedagogy. This forced teachers and students to shift to online learning and thus was compelled to adopt online educational technology. Educational institutes have been facing challenges like insufficient infrastructure and a shortage of quality teachers. Online learning can help to…
Descriptors: COVID-19, Pandemics, Educational Technology, Electronic Learning
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Bagdi, 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
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Shard; Kumar, Devesh; Koul, Sapna; Siringoringo, Hotniar – IEEE Transactions on Learning Technologies, 2023
Students' and instructors' adoption of "e-learning management systems (e-LMSs)" is critical to their success in a "virtual learning environment." Students can use "e-learning" to obtain instructional materials to supplement "traditional classroom" instruction. This study intends to highlight the important…
Descriptors: Foreign Countries, Students, Behavior, Intention
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Bagdi, Himanshu; Bulsara, Hemantkumar P. – Journal of Applied Research in Higher Education, 2023
Purpose: This research aims to look at how students feel about taking online learning (OL) while studying in higher education institutions (HEIs) using an extended technology acceptance model (TAM). The study looked into the factors that influence students' decisions to use OL, which helps meet their individual needs beyond the confines of the…
Descriptors: Online Courses, College Students, Student Attitudes, Decision Making
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Bhati, Narender Singh; Srivastava, Sachin; Rathore, Jaivardhan Singh – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study aims to supplement existing knowledge of information systems by presenting empirical data on the factors influencing the intentions of doctoral students to learn through online platforms. Background: E-learning platforms have become popular among students and professionals over the past decade. However, the intentions of the…
Descriptors: Doctoral Students, Intention, Online Courses, Educational Technology
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Sharma, Sarika; Saini, Jatinderkumar R. – Journal of Further and Higher Education, 2022
The COVID-19 pandemic has brought revolutionary changes in many spheres of life including the higher education sector, which has seen a major paradigm shift. The response to this has been in the form of switching to, or adopting the online teaching-learning methodologies for higher education in India. This study is a formal attempt to examine the…
Descriptors: Foreign Countries, College Faculty, Electronic Learning, Distance Education
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Kampa, Raj Kishor – Asian Association of Open Universities Journal, 2023
Purpose: The study aims to validate a mobile learning readiness scale through the technology readiness and acceptance model (TRAM), thereby assessing students' readiness to adopt m-learning in teaching and learning, including its acceptance. Design/methodology/approach: A structured questionnaire was administered to open and distance learning…
Descriptors: Foreign Countries, Electronic Learning, Readiness, Open Education
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