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All Journal International Journal of Educational Review, Law And Social Sciences (IJERLAS)
Chrispen Chiome
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Key Factors In The Home Environment Contributing To The Low Pass Rates Of Primary Students In Selected Schools In Marondera District: A Comprehensive Review Using A Decision-Oriented Model Chrispen Chiome; Prisca Mtizwa
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 5 No. 3 (2025): May
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v5i3.2907

Abstract

This article uses a decision-oriented model to provide a comprehensive review of the key factors in the home environment of learners contributing to the low pass rates of primary students in selected schools in the Marondera District. The home environment plays a significant role in shaping a child's academic achievement, and various factors contribute to this influence. This review examines the relationship between home environment and academic performance, highlighting the key factors that impact learners' success. The study’s design was embedded mixed-methods research design. The sample comprised of two hundred and sixteen respondents and participants who were randomly and purposively selected. The study’s data collection and generation instruments were the questionnaire, document analysis, interview and observation. Qualitative data was analysed using the traditional thematic content analysis and quantitative data wase analysed using statistical methods. The key findings include parenting styles, education of parents, financial position of parents, resources for education in the home, attitudes of parents towards schooling, socio-economic context environment and parents’ conflict. The research concluded that there were serious impediments in the home environment that has affected learners. The study recommends multifaceted approach that also upgrades the school environment as a way of improving the pass rate of the children in this study. The study also recommends a vast supply of safety nets and equitable distribution thereof. As well as encouraging parents to create a home that is conducive for their children’s access to quality education.
SYNERGIES OF DATA-DRIVEN LEARNING ANALYTICS AND THE TRANSFORMATION OF STUDENT LEARNING: THE MISSING PIECE OF THE PUZZLE IN A CASE STUDY Chrispen Chiome
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 5 No. 1 (2025): January
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v5i1.2203

Abstract

This mixed-methods study examined the missing piece of the puzzle in transforming student learning through data-driven learning analytics. It is a case study of an open, distance, and e-learning institution in Zimbabwe. The research was a mixed methods study that used open, distance, and e-learning institution as a case study. Data was collected from the analytics generated by the learning management platform, and this was supplemented by interviews with the teaching Faculty. The results show that while learning analytics provide data visualizations on engagement and performance in this institution, there are still many missing pieces of the puzzle that prevent this institution from fully utilizing learning analytics. The results show that this institution is a long way off in building on how data intersects with human decisions, optimal use of resources to achieve learning outcomes, improvement in data infrastructure, recommendations arising from data analytics, using data analysis to adjust or enhance student learning, use of predictive and prescriptive analytics, monitoring student course activity in real-time, using personal data tracking to support learning, among others. The research concludes that learning analytics improve teaching and learning through the quality of teaching, quality of monitoring, quality of feedback, and quality of data-driven decision-making among others. The institution under study is still grappling with the missing piece of the puzzle to tap into the extensive learning data to transform student learning. These areas are discussed in this paper.
Co-Authors Prisca Mtizwa