MANAGEMENT OF TECHNOLOGY-BASED INSTRUCTION AS A PREDICTOR OF ATTITUDE TO WORK AMONG NIGERIAN UNIVERSITY TEACHERS

Authors

  • Alexander Okezie Onwu Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Ogba, Francisca Ngozi Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Mbah Blessing Akaraka Ebonyi State University, Abakaliki, Nigeria
  • Kingsley Chukwu Ajaude Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Esiekere, John Ngbo Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Emeka Nwinyinya Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Umahi Nelson Ogonnaya Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Anthony Godwin Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Uguba Chinyere Otuu Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Jane Ijeoma Dike Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Ezeuwa Chioma Queendaline Alex Ekwueme Federal University Ndufu Alike Ikwo, Ebonyi State. Nigeria
  • Jane Ndidiamaka Akwam Benue State University, Markurdi, Nigeria
  • Amaeze Fidelis Eze University of Nigeria Nsukka, Enugu State, Nigeria

Keywords:

Management, Technology-Based Instruction (Video Conference, Interactive Whiteboard and Virtual Field Trip), Attitude and Work.

Abstract

The present study focuses on management of technology-based instruction as a predictor of attitude to work among university teachers. Three research hypotheses were tested at 0.05 level of significance. The study used a correlation design with a sample size of 450 university teachers in the Faculty of Education of selected two public Nigerian Universities using simple random sampling technique. Technology- Based Instruction Scale (TBIS) and University Teachers’ Attitude to Work Scale (UTAWS) were used for data collection. Three experts validate the instruments. Internal consistency reliability coefficients of 0.88, and 0.78 were obtained for (TBIS) and (UTAWS) respectively using Cronbach alpha method. To test the hypotheses, t-test associated with linear regression was used. The results indicated that management of technology-based instruction can significantly predict university teachers’ attitude to work to a high extent.  Based on the findings, some recommendations was highlighted to include that Nigeria government should collaborate with the non-governmental bodies which United Nations Education, Scientific and Cultural Organization (UNESCO) is one and other international organizations in helping financially to provide viable technology tools for instructions towards promoting positive attitude to work of university teachers in Nigeria.

Published

13-08-2026

How to Cite

Alexander Okezie Onwu, Ogba, Francisca Ngozi, Mbah Blessing Akaraka, Kingsley Chukwu Ajaude, Esiekere, John Ngbo, Emeka Nwinyinya, … Amaeze Fidelis Eze. (2026). MANAGEMENT OF TECHNOLOGY-BASED INSTRUCTION AS A PREDICTOR OF ATTITUDE TO WORK AMONG NIGERIAN UNIVERSITY TEACHERS. Well Testing Journal, 35(3), 135–147. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/326

Issue

Section

Original Research Articles

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