Role of Emerging Technologies in Sustainable Teaching and Learning
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Special Issue Information
Dear colleagues,
Sustainable teaching is required for empowering educators to prepare learners with sustainable learning approaches towards addressing global socio-environmental challenges. Besides, Sustainable learning enables learners to inquire, rebuild, renew, reuse, be open-minded, and cope with complicated and challenging situations that require learning and relearning. Moreover, increasing internationalising tendencies, necessitate teachers to be more adaptive and agile to incorporate “new and emerging technologies in their pedagogical repertoire.” Emerging technologies are existing technologies but not widely deployed in practice.
The extent to which technology in education has headed could be understood through three models: (i) desktop computer that depends on the power of the web, (ii) ubiquitous computing incorporating portable devices enabling the learner to take technology everywhere, and (iii) immersive technologies in which a learner interacts in a virtual environment through digitised artefacts.
The special issue discusses how these technological models shape sustainable teaching and learning and the following are the aims of the special issue:
To assess the needs of the faculty to impart sustainable teaching and instill sustainable learning
To study the quality processes required to bridge emerging technologies into education
To examine the influence of technologies that facilitate higher levels of learning
To explore the effectiveness of learning through technology usage
To explore how technology could help teachers to assess and track students’ performance
To investigate the relationship between technology adoption and academic engagement of students
To explore face and content validity processes to be adopted during the development of instruments for evaluating educational technology
To determine the effect of emerging technologies on higher education
To demonstrate the complex impact of emerging technologies like artificial intelligence (AI) in learner-instructor interaction
The nature of submission is not limited to the above keywords only.
Prof. Anuj Kumar
Dr. Reema Bali
Prof. Dr. S.S. Prasada Rao
Dr. Manjeet Singh
Mr. Abhijeet Chavan
Guest Editors.