The role of visual storytelling in enhancing online learning experience design at Nelson Mandela University
- Authors: Waring, Elmien
- Date: 2024-04
- Subjects: Digital storytelling -- South Africa , Information visualization , Visual communication
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/63584 , vital:73505
- Description: As the landscape of higher education undergoes a shift toward a combination of online instructional methods and traditional in-person engagement, a creative approach becomes essential in ensuring student success. The research aims to explore how visual storytelling can enhance the online learning experience at Nelson Mandela University (NMU), thereby improving the effectiveness of teaching and knowledge acquisition. This study delves into the Learning Experience Design (LXD), a blend of instructional design, design thinking, and user experience design, within the teaching community of Nelson Mandela University and the broader South African context. Employing a mixed-method approach, qualitative data from interviews identified themes such as the improvement of LXD, challenges in the design process, and the utilization of visual storytelling. Quantitative analysis revealed that students primarily used the university learning management system (Moodle) for accessing resources, grades, and reviewing tests, with limited engagement in online learning activities. Lecturers expressed concern about Moodle’s functionality, a need for enhanced design support, and the necessity for training in the transition to digital learning. While lecturers recognized the potential of visual storytelling in enhancing engagement and knowledge retention, they emphasized the importance of support for the seamless integration into teaching. Students acknowledged the positive role of visual storytelling in improving their learning experience but highlighted areas of improvement, such as regular updates, increased visual interaction options, and the inclusion of information graphics to explain concepts. A design thinking process informed the development of instructional design interventions, leading to the creation of a prototype Moodle course shell and resources. This initiative aims to empower lecturers to enhance the learning experiences independently with the support of professional LXD services. The research findings suggest that visual storytelling indeed improves LXD, emphasizing the need for established support systems and resources at the university to equip lecturers for successful integration. , Thesis (MA) -- Faculty of Humanities, School of Visual and Performing Arts, 2024
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- Date Issued: 2024-04
- Authors: Waring, Elmien
- Date: 2024-04
- Subjects: Digital storytelling -- South Africa , Information visualization , Visual communication
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/63584 , vital:73505
- Description: As the landscape of higher education undergoes a shift toward a combination of online instructional methods and traditional in-person engagement, a creative approach becomes essential in ensuring student success. The research aims to explore how visual storytelling can enhance the online learning experience at Nelson Mandela University (NMU), thereby improving the effectiveness of teaching and knowledge acquisition. This study delves into the Learning Experience Design (LXD), a blend of instructional design, design thinking, and user experience design, within the teaching community of Nelson Mandela University and the broader South African context. Employing a mixed-method approach, qualitative data from interviews identified themes such as the improvement of LXD, challenges in the design process, and the utilization of visual storytelling. Quantitative analysis revealed that students primarily used the university learning management system (Moodle) for accessing resources, grades, and reviewing tests, with limited engagement in online learning activities. Lecturers expressed concern about Moodle’s functionality, a need for enhanced design support, and the necessity for training in the transition to digital learning. While lecturers recognized the potential of visual storytelling in enhancing engagement and knowledge retention, they emphasized the importance of support for the seamless integration into teaching. Students acknowledged the positive role of visual storytelling in improving their learning experience but highlighted areas of improvement, such as regular updates, increased visual interaction options, and the inclusion of information graphics to explain concepts. A design thinking process informed the development of instructional design interventions, leading to the creation of a prototype Moodle course shell and resources. This initiative aims to empower lecturers to enhance the learning experiences independently with the support of professional LXD services. The research findings suggest that visual storytelling indeed improves LXD, emphasizing the need for established support systems and resources at the university to equip lecturers for successful integration. , Thesis (MA) -- Faculty of Humanities, School of Visual and Performing Arts, 2024
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- Date Issued: 2024-04
Guidelines for designing personal health dashboards
- Authors: Chabana, Chabana Ernst
- Date: 2022-11
- Subjects: Dashboards (Management information systems) , Information visualization , Medical informatics , Digital health , Design manual
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419137 , vital:71619
- Description: The healthcare industry is realising the value of providing ordinary individuals with their personal health data for self-care and self-management purposes, however, these individuals are faced with the challenge of going through, understanding and extracting insights from large volumes of complex personal health data. A dashboard (coupled with data visualization) is regarded as a suitable way to present personal health data effectively, to inform self-care and self- management-based decisions. However, there is no homogeneous (i.e. “one-size-fits-all”) approach to designing dashboards; therefore, this research aimed at creating a set of design guidelines that can be used as a foundation for tailoring dashboards that support the presentation of personal health data. The Design Science Research methodology was used to systematically develop and evaluate the set of dashboard design guidelines. Within this methodology, literature was reviewed and focus groups with participants were conducted to extract insights and inform the development of the initial set (proposed) design guidelines. The proposed design guidelines were then used to develop a medium-fidelity personal health dashboard prototype. Usability testing with the dashboard prototype was conducted to evaluate the efficacy and utility of these design guidelines. The evaluation provided insights that strengthened the quality of the design guidelines. The evaluation indicated that the proposed set of guidelines are suitable for designing a dashboard that presents personal health data effectively. These design guidelines can be adapted in order to inform the process of tailoring dashboards for accommodating different personal health data presentation needs. , Thesis (MCOM) -- Faculty of Commerce, Information Systems, 2023
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- Date Issued: 2022-11
- Authors: Chabana, Chabana Ernst
- Date: 2022-11
- Subjects: Dashboards (Management information systems) , Information visualization , Medical informatics , Digital health , Design manual
- Language: English
- Type: Academic theses , Master's theses , text
- Identifier: http://hdl.handle.net/10962/419137 , vital:71619
- Description: The healthcare industry is realising the value of providing ordinary individuals with their personal health data for self-care and self-management purposes, however, these individuals are faced with the challenge of going through, understanding and extracting insights from large volumes of complex personal health data. A dashboard (coupled with data visualization) is regarded as a suitable way to present personal health data effectively, to inform self-care and self- management-based decisions. However, there is no homogeneous (i.e. “one-size-fits-all”) approach to designing dashboards; therefore, this research aimed at creating a set of design guidelines that can be used as a foundation for tailoring dashboards that support the presentation of personal health data. The Design Science Research methodology was used to systematically develop and evaluate the set of dashboard design guidelines. Within this methodology, literature was reviewed and focus groups with participants were conducted to extract insights and inform the development of the initial set (proposed) design guidelines. The proposed design guidelines were then used to develop a medium-fidelity personal health dashboard prototype. Usability testing with the dashboard prototype was conducted to evaluate the efficacy and utility of these design guidelines. The evaluation provided insights that strengthened the quality of the design guidelines. The evaluation indicated that the proposed set of guidelines are suitable for designing a dashboard that presents personal health data effectively. These design guidelines can be adapted in order to inform the process of tailoring dashboards for accommodating different personal health data presentation needs. , Thesis (MCOM) -- Faculty of Commerce, Information Systems, 2023
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- Date Issued: 2022-11
Using information visualization to support the self-management of type 2 diabetes mellitus
- Authors: Nauder, Meggan Kate
- Date: 2022-04
- Subjects: Information visualization , Diabetics --Treatment --South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/55711 , vital:53409
- Description: The globally increasing number of individuals suffering from Type 2 Diabetes Mellitus (T2DM), a completely preventable incurable disease of the pancreas, highlights the need for an effective tool for users to understand the relationship between their behaviours and the effect that those behaviours can have on their blood glucose levels (BGLs). There are few Information Visualisation (IV) tools available that can be used to reduce the cognition required to understand correlations between behaviour and BGLs. Existing tools require time-consuming, lengthy inputs and provide simple visualisations that do not show correlations. This leads to ineffective self-management of T2DM. Information Visualisation (IV) techniques can be used to support effective self-management of T2DM and reduce the cognition required to interpret DM data. Suitable IV techniques were identified and used to visualize T2DM data to aid in the self-management of the disease. Temporal charts, i.e. The Bar, Pie and Line Chart as well as heat maps, were selected as the most appropriate IV techniques to visualize T2DM data as they support time-series data well. A prototype, MedicMetric was created as an IV tool for visualizing T2DM data. MedicMetric incorporated three designed charts, namely the Change Rate Line View, the Radial Progress View, and the Annotated Line View. The Change Rate Line View and Annotated Line View both used line IV techniques, while the Radial Progress View made use of the bar IV technique. The Change Rate Line View performed the worst overall. A usability evaluation was conducted to compare these techniques and to determine which technique is most suitable for visualizing T2DM data. The results leaned significantly in favour of the Annotated Line View. This view is most similar to the line charts typically used in other IV tools. For this reason, the MedicMetric app was briefly compared to the MySygr and Diabetes:M application. In effectiveness and efficiency, MedicMetric and MySugr obtained almost identical results. However, participants indicated that MedicMetric supported their tasks using the Visual Information Seeking Mantra (VISM) the best overall, with 100% of participants stating that they would prefer to use the MedicMetric application. Several usability problems were identified with the IV techniques and they were addressed shortly after the study was complete. Overall participants were most satisfied with the Annotated Line View. , Thesis (MSc) -- Faculty of Science, Computing Sciences, 2022
- Full Text:
- Date Issued: 2022-04
- Authors: Nauder, Meggan Kate
- Date: 2022-04
- Subjects: Information visualization , Diabetics --Treatment --South Africa
- Language: English
- Type: Master's theses , text
- Identifier: http://hdl.handle.net/10948/55711 , vital:53409
- Description: The globally increasing number of individuals suffering from Type 2 Diabetes Mellitus (T2DM), a completely preventable incurable disease of the pancreas, highlights the need for an effective tool for users to understand the relationship between their behaviours and the effect that those behaviours can have on their blood glucose levels (BGLs). There are few Information Visualisation (IV) tools available that can be used to reduce the cognition required to understand correlations between behaviour and BGLs. Existing tools require time-consuming, lengthy inputs and provide simple visualisations that do not show correlations. This leads to ineffective self-management of T2DM. Information Visualisation (IV) techniques can be used to support effective self-management of T2DM and reduce the cognition required to interpret DM data. Suitable IV techniques were identified and used to visualize T2DM data to aid in the self-management of the disease. Temporal charts, i.e. The Bar, Pie and Line Chart as well as heat maps, were selected as the most appropriate IV techniques to visualize T2DM data as they support time-series data well. A prototype, MedicMetric was created as an IV tool for visualizing T2DM data. MedicMetric incorporated three designed charts, namely the Change Rate Line View, the Radial Progress View, and the Annotated Line View. The Change Rate Line View and Annotated Line View both used line IV techniques, while the Radial Progress View made use of the bar IV technique. The Change Rate Line View performed the worst overall. A usability evaluation was conducted to compare these techniques and to determine which technique is most suitable for visualizing T2DM data. The results leaned significantly in favour of the Annotated Line View. This view is most similar to the line charts typically used in other IV tools. For this reason, the MedicMetric app was briefly compared to the MySygr and Diabetes:M application. In effectiveness and efficiency, MedicMetric and MySugr obtained almost identical results. However, participants indicated that MedicMetric supported their tasks using the Visual Information Seeking Mantra (VISM) the best overall, with 100% of participants stating that they would prefer to use the MedicMetric application. Several usability problems were identified with the IV techniques and they were addressed shortly after the study was complete. Overall participants were most satisfied with the Annotated Line View. , Thesis (MSc) -- Faculty of Science, Computing Sciences, 2022
- Full Text:
- Date Issued: 2022-04
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