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<title>UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY MODEL AS A PREDICTOR OF PRE-SERVICE TEACHERS’ INTENTION TO TEACH WITH TECHNOLOGY IN SOUTHWESTERN NIGERIA</title>
<link>http://hdl.handle.net/123456789/2070</link>
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<dc:date>2026-04-09T00:36:12Z</dc:date>
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<title>UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY MODEL AS A PREDICTOR OF PRE-SERVICE TEACHERS’ INTENTION TO TEACH WITH TECHNOLOGY IN SOUTHWESTERN NIGERIA</title>
<link>http://hdl.handle.net/123456789/2071</link>
<description>UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY MODEL AS A PREDICTOR OF PRE-SERVICE TEACHERS’ INTENTION TO TEACH WITH TECHNOLOGY IN SOUTHWESTERN NIGERIA
HAMZAT, Lateefat Folake
Teachers’ intention to teach with technology is fundamental to the integration of&#13;
technology in the teaching-learning process. Reports have shown that the intention to&#13;
deploy technologies in teaching among pre-service teachers in southwestern Nigeria is&#13;
poor. Previous studies have focused more on the availability and utilisation of&#13;
technology in teaching than on extending Unified Theory of Acceptance and Use of&#13;
Technology (UTAUT) and Technology Acceptance Model. This study was, therefore,&#13;
conducted to extend the UTAUT Model comprising Performance Expectancy (PE),&#13;
Effort Expectancy (EE), Social Influence (SI) and Facilitating Conditions (FC) with&#13;
Technology Familiarity (TF), Technological Anxiety (TA), Attitude to Technology Use&#13;
(ATT) and Accessibility to Technological Resources (ACC), with a view to examining&#13;
pre-service teachers’ intention to teach with technology in southwestern Nigeria.&#13;
The study was premised on the UTAUT Model, while the explanatory sequential mixed&#13;
methods design was adopted. In stage one, a preliminary investigation was carried out&#13;
with 36 students from a College of Education (COE) and 23 from a university to explore&#13;
other factors that were germane to teachers’ intention to teach with technology than&#13;
UTAUT variables. The factors were TF, TA, ATT and ACC which were loaded high&#13;
upon subjection to Factor Analysis. In stage two, a new model was built to examine&#13;
UTAUT variables with its extension on pre-service teachers’ intention to teach with&#13;
technology. Six public universities and COEs were randomly selected from&#13;
southwestern Nigeria. Part-three students in COEs and 400-level undergraduates were&#13;
purposively selected, having had teaching practice experience and acquired micro -&#13;
teaching skills. They were 1,333 students and 985 undergraduates. The instruments&#13;
used were PE (r=0.8), EE (r=0.7), SI (r=0.7), FC (r=0.8), TF (r=0.9), TA (r=0.8), ATT&#13;
(r=0.8), ACC (r=0.8) and Behavioural Intention (BI) (r=0.7) scales. Focus group&#13;
discussions (12) were held with pre-service teachers. Quantitative data were subjected&#13;
to Pearson product moment correlation and Partial least square structural equation&#13;
modelling at p ≤ 0.05, while qualitative data were content-analysed.&#13;
Pre-service teachers’ BI was sufficiently predicted by the combination of (PE, β =0.08);&#13;
(EE, β =0.10); (FC, β =0.11); (TA, β= -0.37); (ATT, β =0.20); and (ACC, β =0.12). The&#13;
extended UTAUT model jointly accounted for 52.0% of the variance observed in preservice teachers’ BI. The most important construct in the prediction of pre-service&#13;
teachers’ BI was TA (0.10). There was a significant direct causal effect of ATT (r&#13;
=0.25); EE (r =0.09); PE (r =0.06); ACC (r=0.14) and FC (r =0.09) on BI, but not on&#13;
SI and TF. There was a significant negative causal effect of TA (r= -0.29) on BI. The&#13;
pre-service teachers’ BI was invariant of the tertiary institution type. The model&#13;
predicted other factors than the original UTAUT model. There were complaints by the&#13;
pre-service teachers about technological know-how and accessibility to technological&#13;
tools.&#13;
The extended Unified Theory of Acceptance and use of Technology model enhanced&#13;
the prediction of pre-service teachers’ intention to deploy technology in teaching in&#13;
southwestern Nigeria.
</description>
<dc:date>2023-06-01T00:00:00Z</dc:date>
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