Article Per Year (5 Year)
p-Index From 2021 - 2026
1.285
P-Index
This Author published in this journals
All Journal Journal of Computer for Science and Mathematics Learning Journal of Research in Education and Pedagogy Journal of Research in Mathematics, Science, and Technology Education Journal of Research in Environmental and Science Education Journal of Education for Sustainable Development Studies
Chasokela, Doris
Unknown Affiliation
Education Environmental Science Mathematics Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Computer for Science and Mathematics Learning

 1 
The Networking Sites in Student Teaching and Learning. A Case Study at Zimbabwean University Chasokela, Doris
Journal of Computers for Science and Mathematics Learning Vol. 1 No. 2 (2024): Journal of Computer for Science and Mathematics Learning
Publisher : Scientia Publica Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70232/jcsml.v1i2.10

Abstract

The present-day university students, colloquially referred to as ‘millennial learners’ or ‘digital natives’, are a generation of learners that have grown up with the internet. Such students utilize Web 2.0 tools which include SNSs, which are easily accessible on electronic devices that are connected to the internet, presenting a lot of opportunities to enhance student teaching and learning. However, these tools have their downside: hence the need to assess the impact of SNSs on teaching and learning in universities. The study used the interpretive paradigm, qualitative approach method, and a case study design. Purposive sampling was used to select the participants who were composed of departmental chairpersons, lecturers, and students. Data were thereafter collected using interviews and were thematically analyzed. The study also established that participants used SNSs such as Facebook, YouTube, and instant messaging applications like WhatsApp and wikis. The Web 2.0 tools were used for sharing educational materials, research purposes, online tutorials, and study group discussions. The study also revealed the drawbacks and barriers that are associated with the implementation of SNSs in teaching and learning as addiction; negative socialization; cyberbullying health concerns, unreliable information, and reduced academic performance. The study recommends that the use of SNSs by students must be controlled. Students must be educated on the effective use of Web 2.0 tools while lecturers should be trained on how to implement SNSs in pedagogical processes and the use of technological tools.
Harnessing Artificial Intelligence: Transformative Technologies in Contemporary Higher Education Chasokela, Doris
Journal of Computers for Science and Mathematics Learning Vol. 2 No. 1 (2025): Journal of Computers for Science and Mathematics Learning
Publisher : Scientia Publica Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70232/jcsml.v2i1.15

Abstract

Artificial Intelligence has rapidly become a transformative force within the contemporary higher education landscape, altering how teaching methodologies, learning experiences, and administrative functions are structured and delivered. The advancement of AI technologies presents opportunities and challenges that institutions must carefully navigate. This study explores the multifaceted perspectives of participants in Science, Technology, Engineering, and Mathematics (STEM) fields, including educators, students, and technical staff, concerning the integration and implications of AI in higher education settings. To gather detailed insights into the lived experiences of these stakeholders, the research employs a qualitative methodology, utilizing in-depth interviews and focus group discussions. This approach allows for a rich collection of perspectives that reveal not only the enthusiasm surrounding AI’s potential to enhance learning outcomes and streamline administrative processes but also the apprehensions tied to its implementation. Participants express varied attitudes toward AI integration, with some embracing its ability to personalise learning experiences, enhance student engagement, and support educators in delivering more effective instruction. Conversely, concerns emerge regarding critical issues such as data privacy, the potential for exacerbating existing inequalities in access to technology, and the necessity of pedagogical adjustments to accommodate AI tools. The findings from this study underscore the complexity of AI’s role in higher education, illustrating the need for a thoughtful and strategic approach to its implementation. As institutions seek to harness the benefits of AI for improved educational outcomes, it becomes increasingly important to address the ethical considerations associated with its use. Recommendations from the study advocate for comprehensive faculty training to ensure educators are well-equipped to utilise AI effectively. Additionally, there is a call for revising curriculum development to incorporate AI technologies meaningfully, alongside fostering collaborative partnerships with industry to bridge the gap between theoretical knowledge and practical application.
Co-Authors Hlongwane, Joseph