2022
DOI: 10.47836/pjst.31.1.15
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Technology Adoption for STEM Education in Higher Education: Students’ Experience from Selected Sub-Saharan African Countries

Abstract: Challenges of a lack of formal technology-embeded teacher training, collaborative learning models, adequate technology know-how, and internet access are barriers to adopting technological-enabled teaching and learning STEM subjects in the African context. This study examined technology adoption for STEM in higher education while evaluating students’ experiences with evidence and implications for less developed countries. The survey research design was adopted for the study. The study population was students in… Show more

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Cited by 9 publications
(4 citation statements)
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References 26 publications
(39 reference statements)
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“…Furthermore, more experienced teachers tend to embrace 4IR tools to improve their instructional delivery more than their less experienced counterparts. The results of this study corroborate Lau and Sim (2018); Oladele et al (2023) assertion that teachers with more experience utilize technology in the classroom more frequently than those with less experience. Those who have been in the profession for a long time have acquired extensive teaching experience and are proficient in using technology to improve their teaching.…”
Section: Discussion and Future Directionssupporting
confidence: 89%
“…Furthermore, more experienced teachers tend to embrace 4IR tools to improve their instructional delivery more than their less experienced counterparts. The results of this study corroborate Lau and Sim (2018); Oladele et al (2023) assertion that teachers with more experience utilize technology in the classroom more frequently than those with less experience. Those who have been in the profession for a long time have acquired extensive teaching experience and are proficient in using technology to improve their teaching.…”
Section: Discussion and Future Directionssupporting
confidence: 89%
“…Our proposed model predicts over thirty per cent of the variance TT in AI-based systems in education. Each relational hypothesis has a different path coefficient value, and one of the strongest relationships is that proposed between PI-> TT in AI-based educational technologies [99,100], and PB-> TT in AI-based educational technologies [19,81,134,146]. However, AI's LC and PI indicate the weakest relationship between AN and TT in AI-based educational technologies, as well as between ICT Skills and TT in AI-based systems.…”
Section: Discussionmentioning
confidence: 99%
“…Accordingly, female teachers are less likely to report anxieties about using AI-based edtech while male teachers are more likely to report anxieties about using AI-based edtech. This is an interesting finding as most studies' reports tend to favour the males in terms of technology usage [119,120,146]. Moreover, males and females differ in their preferred means of increasing trust in AI-based education technology, level of ICT literacy, and use of AI-based educational technologies [115,116].…”
Section: Discussionmentioning
confidence: 99%
“…Learners' attitudes significantly impact their technology utilization in education Alzahrani et al (2019)Ayanwale et al (2023);Oladele et al (2023) demonstrate that students with a positive technology attitude are more inclined to employ it for learning purposes. Correspondingly,Wang et al (2019) reveal that students with positive technological attitudes exhibit higher engagement and academic achievement.…”
mentioning
confidence: 99%