2 results
Search Results
Now showing 1 - 2 of 2
- The increase in student populations in higher education institutions means faceto-face service delivery is now very expensive. Most institutions are therefore exploring the possibility of online learning on a massive scale, which the restrictions of the Covid-19 pandemic have now expedited. This study aims to investigate the extent to which pre-service teachers use Moodle to enhance learning. The study used a quantitative approach in which quantitative data were gathered using a five-point Likert-scale questionnaire developed by the researchers, using previous studies. A stratified sample of 400 pre-service teachers selected from a population of 4 000 participated in the study. A total of 332 participants successfully completed and returned the questionnaires, giving a return rate of 83 per cent. The study used the Technology Acceptance Model as its theoretical framework. The results indicated that seven of the 13 hypotheses were statistically significant, leading to the adoption of all six model constructs. The coefficient of determination of the model was a substantial 69.8 per cent, which explained the extent to which pre-service teachers use Moodle to enhance learning. By using moderation, it was established that all three demographic factors of the study did not influence the pre-service teachers’ use of Moodle. The results indicated that the developed model is valid, robust and suitable for use by stakeholders. Pre-service teachers are therefore encouraged to use Moodle to enhance learning. Future research could be done to establish the 30.2 per cent of factors this model did not capture.
- 1
- 3
- 0
- 2021| Society for Research...The purpose of this study was to examine the effects of pre-service teachers’ computer self-efficacy on their use of computers. The research used a quantitative design whose data were collected by using a structured five-point Likert scale questionnaire with responses ranging from 1(strongly agree) to 5(strongly disagree). Simple random sampling was used to select a representative sample of 400 participants from a population of 4000 pre-service teachers, of which 332 of them were successfully returned, yielding a response rate of 83%. The study employed the Technology-Acceptance Model with eight constructs, namely; demographic influence (DI), social influence (SI), basic computer skills (CS), access to computers (AC), perceived ease of use (PEOU), perceived usefulness (PU), computer self-efficacy (CSE), and actual computer use (AU). Factor analysis was used to analyse the data generated from the survey, with the help of PLS-SEM, using the SmartPLS software version 3.0. The findings of the study indicated that each of the identified factors in the model had a significant effect on CSE. In essence, the identified explanatory variables explained 73.7% of the variance in CSsE. The four independent variables explained 45.4% of the variance in PU of computers and 66.5% of the variance in PEOU of computer use. The CSE model also explained 60.6% of the variance in computer use. In order to develop a strong CSE for pre-service teachers, it is recommended that higher education institutions ensure that all students have access to the necessary computers, proper connectivity, and skilled technicians.
- 1
- 1
- 0