The integration of Artificial Intelligence (AI) in biology education offers transformative potential, yet teacher preparedness for AI remains under-researched. This study explores the perceived benefits of AI integration and self-reported Technological Pedagogical Content Knowledge (TPACK) among pre-service biology teachers from a South African university (n = 62) and an Indonesian university (n = 51). Using a comparative survey design, data were collected via an online questionnaire. Indonesian participants reported higher Technological Knowledge and Technological Pedagogical Knowledge levels, though both groups viewed AI integration positively, with no significant differences in perceived benefits. Among Indonesian participants, Technological Knowledge strongly correlated with perceived benefits, especially for peer collaboration. These findings highlight the importance of tailored teacher training and equitable technological resource allocation to enhance AI integration in biology education. The study underscores the critical role of technological and pedagogical knowledge in fostering positive attitudes toward AI adoption in diverse educational settings.
29 November 2024 in Computers and Education: Artificial Intelligence
This study explores the link between a mentorship program for in-service teachers and their professional development. The participants are under-qualified mathematics, science, and technology teachers employed in junior secondary schools. Using a mixed-method approach, data were collected through a questionnaire responded to by 163 mentees, and semi-structured interviews with 4 in-service teachers. Despite tensions between mentors and mentees, the results show a strong link between mentoring and the professional development of in-service teachers. The majority of the sampled teachers learnt new teaching approaches and improved their content knowledge. The findings are emergent, suggesting that experienced in-service teachers require different models of mentoring relationships between mentors and mentees to those suggested in the literature.
31 December 2020 in South African Journal of Education
It is widely acknowledged that understanding of science is key to becoming global citizens and to embrace technological advancements. Although research suggests that girl’s performance in science has improved over the years, there are still concerns about the under-representation of women in science, technology, engineering and mathematics (STEM) careers in most African countries, including South Africa. Variability in science performance according to gender is still an unresolved issue. In this study we aimed to examine the relationship between gender and science item achievement of Grade 9 South African learners in the Trends in International Mathematics and Science Study (TIMSS) 2015. We used data collected by TIMSS 2015. The data were further analysed using International Database (IDB) analyser and t-test statistics. The results show that in general gender did not influence learner achievement in most of the test items. However, the findings indicate that girls performed better than boys in most of the questions in all 4 content domains and in the knowing and reasoning cognitive domains. The study highlighted that gender had a limited effect in the manner in which the girls and boys answered the different test items. The observed gender differences in the content domains could be related to socio-cultural environments and learning experiences.