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Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT
A learning analytics dashboard (LAD) is an application that illustrates the activity and progress of a user in a self-regulated, online learning environment. This tool mines source data to provide meaningful information that supports decision making and positively impacts learning behaviour. Researc...
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2022
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| _version_ | 1867613222088998912 |
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| access_status_str | Open Access |
| author | Gajadhur, Suvir |
| author2 | Scott, Leanne |
| author_browse | Gajadhur, Suvir Scott, Leanne |
| author_facet | Scott, Leanne Gajadhur, Suvir |
| author_sort | Gajadhur, Suvir |
| collection | Thesis |
| description | A learning analytics dashboard (LAD) is an application that illustrates the activity and progress of a user in a self-regulated, online learning environment. This tool mines source data to provide meaningful information that supports decision making and positively impacts learning behaviour. Research on this topic explores how learning activities and pedagogical goals are impacted by integrating LADs into learning and/or teaching environments. Currently, the majority of the research is centred around predicting student academic performance and identifying students that are at risk of failing. The popularity of integrating technology into educational practices has led to the adoption of LADs into learning management systems (LMS) or massive open online courses (MOOCs). The objective of this paper is to develop a concept for a standalone prototype LAD, for an Introductory Statistics course (STA 1000), to be potentially integrated into the University of Cape Town's (UCT) LMS, Vula. The dashboard aims to create and incorporate meaningful visualisations, that have the potential to primarily assist students as well as educators. Visualised information in the LAD aims to positively impact students to enhance and drive effective learning, which could consequentially aid educators. Additionally, the dashboard will aim to provide actionable feedback, derived from predictive modelling and course analytics, that positively impacts learning behaviour and identifies factors that the student could most effectively use to leverage their chances of passing and improve academic performance. Predictive analytics aim to identify academic factors, that a student has control over, such as course assessments and engagement variables, at certain time points in the academic semester and provide a useful course of action at those time points. Other than variables measured throughout the course, the predictive modelling takes certain prior academic information into consideration. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/35614 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:42.829Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/35614 Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT Gajadhur, Suvir Scott, Leanne Learning Analytics Dashboards (LAD) Information Visualisation Actionable Feedback Academic Performance Learning Management System (LMS) A learning analytics dashboard (LAD) is an application that illustrates the activity and progress of a user in a self-regulated, online learning environment. This tool mines source data to provide meaningful information that supports decision making and positively impacts learning behaviour. Research on this topic explores how learning activities and pedagogical goals are impacted by integrating LADs into learning and/or teaching environments. Currently, the majority of the research is centred around predicting student academic performance and identifying students that are at risk of failing. The popularity of integrating technology into educational practices has led to the adoption of LADs into learning management systems (LMS) or massive open online courses (MOOCs). The objective of this paper is to develop a concept for a standalone prototype LAD, for an Introductory Statistics course (STA 1000), to be potentially integrated into the University of Cape Town's (UCT) LMS, Vula. The dashboard aims to create and incorporate meaningful visualisations, that have the potential to primarily assist students as well as educators. Visualised information in the LAD aims to positively impact students to enhance and drive effective learning, which could consequentially aid educators. Additionally, the dashboard will aim to provide actionable feedback, derived from predictive modelling and course analytics, that positively impacts learning behaviour and identifies factors that the student could most effectively use to leverage their chances of passing and improve academic performance. Predictive analytics aim to identify academic factors, that a student has control over, such as course assessments and engagement variables, at certain time points in the academic semester and provide a useful course of action at those time points. Other than variables measured throughout the course, the predictive modelling takes certain prior academic information into consideration. 2022-01-31T07:59:20Z 2022-01-31T07:59:20Z 2021 2022-01-26T12:59:53Z Master Thesis Masters MSc http://hdl.handle.net/11427/35614 eng application/pdf Department of Statistical Sciences Faculty of Science |
| spellingShingle | Learning Analytics Dashboards (LAD) Information Visualisation Actionable Feedback Academic Performance Learning Management System (LMS) Gajadhur, Suvir Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT |
| thesis_degree_str | Master's |
| title | Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT |
| title_full | Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT |
| title_fullStr | Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT |
| title_full_unstemmed | Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT |
| title_short | Prototype learning analytics dashboard (LAD) for an introductory statistics course at UCT |
| title_sort | prototype learning analytics dashboard lad for an introductory statistics course at uct |
| topic | Learning Analytics Dashboards (LAD) Information Visualisation Actionable Feedback Academic Performance Learning Management System (LMS) |
| url | http://hdl.handle.net/11427/35614 |
| work_keys_str_mv | AT gajadhursuvir prototypelearninganalyticsdashboardladforanintroductorystatisticscourseatuct |