THE EFFECT OF USING VISUAL MODELS IN TEACHING AND LEARNING MOLECULAR BIOLOGY ON LEARNER PERFORMANCE IN GRADE 10 AT SELECTED SECONDARY SCHOOLS IN MALEGALE CIRCUIT, LIMPOPO

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THE EFFECT OF USING VISUAL MODELS IN TEACHING AND LEARNING MOLECULAR BIOLOGY ON LEARNER PERFORMANCE IN GRADE 10 AT SELECTED SECONDARY SCHOOLS IN MALEGALE CIRCUIT, LIMPOPO

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Title: THE EFFECT OF USING VISUAL MODELS IN TEACHING AND LEARNING MOLECULAR BIOLOGY ON LEARNER PERFORMANCE IN GRADE 10 AT SELECTED SECONDARY SCHOOLS IN MALEGALE CIRCUIT, LIMPOPO
Author: Makhura, Sello Isaac
Abstract: The usage of visual models for teaching and learning molecular biology is increasing due to the difficulties associated with understanding complicated concepts. Hence, this study intended to determine the extent to which teachers utilise visual models when teaching molecular biology topics in Grade 10 Life Sciences, as well as the impact of using such visual models. Learners report misconceptions and learning difficulties associated with various concepts that exist in molecular biology, thus teaching molecular biology is difficult. A qualitative research approach was chosen to address the main research question and aim, together with the usage of a case study design to allow the researcher to be flexible when collecting data. This allowed the researcher to use qualitative and quantitative methods for the first, second and third research sub-questions respectively. Purposive sampling was used to identify 7 participants who participated in the interviews and responded to an open-ended questionnaire. The use of interviews and the open ended questionnaire allowed for data triangulation, which assisted researcher to understand how participants view the outcome of the research. Furthermore, thematic data analysis was used. Findings showed that using visual models improves learner’s visualisation skills and performance related to molecular biology topics. Furthermore, visual models can serve as a tool to be utilised by teachers to support learners who have different learning needs.
Description: Thesis
URI: http://hdl.handle.net/123456789/1582
Date: 2023-12-27


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