Abstract
PurposeThis study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning.Design/methodology/approachQuantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An online administrated questionnaire is distributed through convenience sampling to reach generation(Z) students. The questionnaire is developed using Google form, placing the link on various universities' social media platforms so to be accessible to the respondents. Path coefficient analysis of SEM is used to test the hypotheses.FindingsResults show that the individual's level of technological optimism, discomfort and insecurity impact adoption intentions toward IoT products and services for online learning; the mental motivator, innovativeness, is insignificant.Practical implicationsThis study helps guide practitioners (education institutions, IoT-developers, marketers and other professionals in the field) to consider students' mindset when designing products and strategies for promoting online learning and introducing educational IoT. This research provides insights on IoT in higher education; it provides perspectives for IoT adoption intention pro-online learning, aiding institutions looking for trends and practices for skills and work-based learning developments.Originality/valueThis study contributes to knowledge and literature by shedding light on the educational challenge of why not all students could harness the potentials of online learning and IoT of the twenty-first century. It provides insights to clarify students' mindset toward educational IoT needed for online learning.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.