Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Learning difficulties and disabilities (LDD) are the most frequently diagnosed of childhood developmental disorders. In South Africa (SA), however, a standard and nationally accepted tool has not yet been established for assessing LDDs and thus, specific incidence rates are not known. An underlying...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English English |
| Published: |
Department of Psychology
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613228929908736 |
|---|---|
| access_status_str | Open Access |
| author | Petersen, Asheeqa |
| author2 | Schrieff-Brown, Leigh |
| author_browse | Petersen, Asheeqa Schrieff-Brown, Leigh |
| author_facet | Schrieff-Brown, Leigh Petersen, Asheeqa |
| author_sort | Petersen, Asheeqa |
| collection | Thesis |
| description | Learning difficulties and disabilities (LDD) are the most frequently diagnosed of childhood developmental disorders. In South Africa (SA), however, a standard and nationally accepted tool has not yet been established for assessing LDDs and thus, specific incidence rates are not known. An underlying factor which may be important to consider in the context of LDDs is working memory (WM) which has been reported as playing a crucial role in learning and WM deficits appear to be higher in the context of LDDs. Thus, it may be imperative to adopt, and adapt to, new technologies that are both cost-effective and easily accessible, addressing the gap in resource availability. The Learner Profiler (LP) is an example of one such computerised test, being relatively cost effective and accessible. It should be noted, however, that research on the LP test method is particularly limited due to both a scarcity in the literature and the use of small sample sizes in said literature. The aim of this research was to investigate whether a computerised tool of WM on the LP could predict scores on other computerised cognitive domains on the LP. This quantitative study used a within-subjects experimental design to investigate the predictive value of LP WM module in other LP modules, namely, Visuospatial, Spelling, Missing Word, Word Choice, and New Word Spelling. The sample comprised of 1175 participants aged between 16 to 19 years old. At the time, participants attended a Technical Vocational Education and Training college (TVET) situated in an urban area in Gauteng, SA. The LP modules were administered during normal admissions processes at the college. To assess the predictive value of the LP WM module, the scores of the modules were analysed using multiple regression analyses. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/43201 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:32:47.627Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Department of Psychology |
| publisherStr | Department of Psychology |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/43201 Using working memory to predict other domains within the learner profiler in an older adolescent sample Petersen, Asheeqa Schrieff-Brown, Leigh Working memory Learner Profiler computer-based testing adolescents South Africa Learning difficulties and disabilities (LDD) are the most frequently diagnosed of childhood developmental disorders. In South Africa (SA), however, a standard and nationally accepted tool has not yet been established for assessing LDDs and thus, specific incidence rates are not known. An underlying factor which may be important to consider in the context of LDDs is working memory (WM) which has been reported as playing a crucial role in learning and WM deficits appear to be higher in the context of LDDs. Thus, it may be imperative to adopt, and adapt to, new technologies that are both cost-effective and easily accessible, addressing the gap in resource availability. The Learner Profiler (LP) is an example of one such computerised test, being relatively cost effective and accessible. It should be noted, however, that research on the LP test method is particularly limited due to both a scarcity in the literature and the use of small sample sizes in said literature. The aim of this research was to investigate whether a computerised tool of WM on the LP could predict scores on other computerised cognitive domains on the LP. This quantitative study used a within-subjects experimental design to investigate the predictive value of LP WM module in other LP modules, namely, Visuospatial, Spelling, Missing Word, Word Choice, and New Word Spelling. The sample comprised of 1175 participants aged between 16 to 19 years old. At the time, participants attended a Technical Vocational Education and Training college (TVET) situated in an urban area in Gauteng, SA. The LP modules were administered during normal admissions processes at the college. To assess the predictive value of the LP WM module, the scores of the modules were analysed using multiple regression analyses. 2026-05-07T12:58:26Z 2026-05-07T12:58:26Z 2023 2026-05-07T12:52:13Z Thesis / Dissertation Masters Masters http://hdl.handle.net/11427/43201 en eng application/pdf Department of Psychology Faculty of Humanities University of Cape Town |
| spellingShingle | Working memory Learner Profiler computer-based testing adolescents South Africa Petersen, Asheeqa Using working memory to predict other domains within the learner profiler in an older adolescent sample |
| thesis_degree_str | Master's |
| title | Using working memory to predict other domains within the learner profiler in an older adolescent sample |
| title_full | Using working memory to predict other domains within the learner profiler in an older adolescent sample |
| title_fullStr | Using working memory to predict other domains within the learner profiler in an older adolescent sample |
| title_full_unstemmed | Using working memory to predict other domains within the learner profiler in an older adolescent sample |
| title_short | Using working memory to predict other domains within the learner profiler in an older adolescent sample |
| title_sort | using working memory to predict other domains within the learner profiler in an older adolescent sample |
| topic | Working memory Learner Profiler computer-based testing adolescents South Africa |
| url | http://hdl.handle.net/11427/43201 |
| work_keys_str_mv | AT petersenasheeqa usingworkingmemorytopredictotherdomainswithinthelearnerprofilerinanolderadolescentsample |