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Using working memory to predict other domains within the learner profiler in an older adolescent sample

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...

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Main Author: Petersen, Asheeqa
Other Authors: Schrieff-Brown, Leigh
Format: Thesis
Language:English
English
Published: Department of Psychology 2026
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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.
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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
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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