Dataset to support the adoption of social media and emerging technologies for students’ continuous engagement

• Main Authors: Oluwatobi Noah Akande, Taofeeq Alabi Badmus, Akinyinka Tosin Akindele, Oladiran Tayo Arulogun
• Format: Article
• Language: English
• Published: Elsevier 2020-08-01
• Series: Data in Brief
• Subjects: Social media; Emerging technologies; Education technology; Curriculum development; Instructional Design; Online Learning
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340920308209

The recent advancements in ICT have made it possible for teaching and learning to be conducted outside the four walls of a University. Furthermore, the recent COVID-19 pandemic that has crippled educational activities in all nations of the world has further revealed the urgent need for academic institutions to embrace and integrate alternative modes of teaching and learning via social media platforms and emerging technologies into existing teaching tools. This article contains data collected from 850 face to face University students during the COVID-19 pandemic lockdown. An online google form was used to elicit information from the students about their awareness and intention to use these alternative modes of teaching and learning. The questions were structured using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This data article includes the questionnaire used to retrieve the data, the responses obtained in spreadsheet format, the charts generated from the responses received, the Statistical Package of the Social Sciences (SPSS) file, the descriptive statistics, and reliability analysis computed for all the UTAUT variables. The dataset will enhance understanding of how face to face students use social media platforms and how these platforms could be used to engage the students outside their classroom activities. Also, the dataset exposes how familiar face to face University students are to these emerging teaching and learning technologies. The challenges that could inhibit the adoption of these technologies were also revealed.