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

doi:10.1016/j.dib.2020.105926

. 2020 Jun 25:31:105926.

doi: 10.1016/j.dib.2020.105926. eCollection 2020 Aug.

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

Oluwatobi Noah Akande^{1 2}, Taofeeq Alabi Badmus^{3 2 4}, Akinyinka Tosin Akindele^{5 2}, Oladiran Tayo Arulogun^{5 2}

Affiliations

¹ Computer Science Department, Landmark University, Kwara State, Nigeria.
² Open and Distance Learning Centre, Ladoke Akintola University of Technology, Ogbomoso, Oyo State Nigeria.
³ Resilient Engineering Research Group, Faculty of Engineering, University of Nottingham, England, United Kingdom.
⁴ Department of Computer Engineering, Federal University of Oye-Ekiti, Ekiti State, Nigeria.
⁵ School of E-learning Projects, Kampala International University, Kampala, Uganda.

PMID: 32665968
PMCID: PMC7316039
DOI: 10.1016/j.dib.2020.105926

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

Oluwatobi Noah Akande et al. Data Brief.2020.

. 2020 Jun 25:31:105926.

doi: 10.1016/j.dib.2020.105926. eCollection 2020 Aug.

Authors

Oluwatobi Noah Akande^{1 2}, Taofeeq Alabi Badmus^{3 2 4}, Akinyinka Tosin Akindele^{5 2}, Oladiran Tayo Arulogun^{5 2}

Affiliations

¹ Computer Science Department, Landmark University, Kwara State, Nigeria.
² Open and Distance Learning Centre, Ladoke Akintola University of Technology, Ogbomoso, Oyo State Nigeria.
³ Resilient Engineering Research Group, Faculty of Engineering, University of Nottingham, England, United Kingdom.
⁴ Department of Computer Engineering, Federal University of Oye-Ekiti, Ekiti State, Nigeria.
⁵ School of E-learning Projects, Kampala International University, Kampala, Uganda.

PMID: 32665968
PMCID: PMC7316039
DOI: 10.1016/j.dib.2020.105926

Abstract

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.

Keywords: Curriculum development; Education technology; Emerging technologies; Instructional Design; Online Learning; Social media.

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Conflict of interest statement

The authors declare that there is no competing interest.

Figures

Fig 1 — **Fig. 1**
Gender of Respondents.

Fig 2 — **Fig. 2**
How Respondents Access their Social Media Platforms.

Fig 3 — **Fig. 3**
Respondents Response to the Effects of Power Availability.

Fig 4 — **Fig. 4**
Respondents View on Effects of Internet Data Bundle.

Fig 5 — **Fig. 5**
Respondents View on Internet Availability and Signal Strength.

Fig 6 — **Fig. 6**
Emerging Technologies Frequently used by Respondents.

Fig 7 — **Fig. 7**
Social Media Platforms Frequently used by Respondents.

See this image and copyright information in PMC

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References

1. Arulogun O.T., Gbadegesin A.S. Integrating Social Media Networks As A Learning Tool For Open and Distance Education Students. 26th Conference of the International Council for Open and Distance Education (ICDE); Sun City, South Africa; 14-16 October 2015.
1. Schindler L.A., Burkholder G.J., Morad O.A., Marsh C. Computer-based technology and student engagement: a critical review of the literature. Int. J. Technol. High. Educ. 2017;14:25. doi: 10.1186/s41239-017-0063-0. https://doi.org/ - DOI
1. Shibl R., Lawley M., Debuse J. Factors influencing decision support system acceptance. Decis Support Syst. 2013;54:953–961. http://dx.doi.org/
1. Zuiderwijk A., Janssen M., Dwivedi Y.K. Acceptance and use predictors of open data technologies : drawing upon the unified theory of acceptance and use of technology. Gov. Inf. Q. 2016;32(2015):429–440. doi: 10.1016/j.giq.2015.09.005. - DOI
1. George D., Mallery P. (4th ed.) Allyn & Bacon; Boston: 2003. SPSS For Windows step By step: A simple Guide and Reference 11.0 Update.

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[1] Arulogun O.T., Gbadegesin A.S. Integrating Social Media Networks As A Learning Tool For Open and Distance Education Students. 26th Conference of the International Council for Open and Distance Education (ICDE); Sun City, South Africa; 14-16 October 2015.

[2] Arulogun O.T., Gbadegesin A.S. Integrating Social Media Networks As A Learning Tool For Open and Distance Education Students. 26th Conference of the International Council for Open and Distance Education (ICDE); Sun City, South Africa; 14-16 October 2015.

[3] Schindler L.A., Burkholder G.J., Morad O.A., Marsh C. Computer-based technology and student engagement: a critical review of the literature. Int. J. Technol. High. Educ. 2017;14:25. doi: 10.1186/s41239-017-0063-0. https://doi.org/ - DOI

[4] Schindler L.A., Burkholder G.J., Morad O.A., Marsh C. Computer-based technology and student engagement: a critical review of the literature. Int. J. Technol. High. Educ. 2017;14:25. doi: 10.1186/s41239-017-0063-0. https://doi.org/ - DOI

[5] Shibl R., Lawley M., Debuse J. Factors influencing decision support system acceptance. Decis Support Syst. 2013;54:953–961. http://dx.doi.org/

[6] Shibl R., Lawley M., Debuse J. Factors influencing decision support system acceptance. Decis Support Syst. 2013;54:953–961. http://dx.doi.org/

[7] Zuiderwijk A., Janssen M., Dwivedi Y.K. Acceptance and use predictors of open data technologies : drawing upon the unified theory of acceptance and use of technology. Gov. Inf. Q. 2016;32(2015):429–440. doi: 10.1016/j.giq.2015.09.005. - DOI

[8] Zuiderwijk A., Janssen M., Dwivedi Y.K. Acceptance and use predictors of open data technologies : drawing upon the unified theory of acceptance and use of technology. Gov. Inf. Q. 2016;32(2015):429–440. doi: 10.1016/j.giq.2015.09.005. - DOI

[9] George D., Mallery P. (4th ed.) Allyn & Bacon; Boston: 2003. SPSS For Windows step By step: A simple Guide and Reference 11.0 Update.

[10] George D., Mallery P. (4th ed.) Allyn & Bacon; Boston: 2003. SPSS For Windows step By step: A simple Guide and Reference 11.0 Update.

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

Affiliations

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

Authors

Affiliations

Abstract

Conflict of interest statement

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References

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