Mobile learning has developed into an essential component within the education landscape and, with two billion users worldwide, the social media platform WhatsApp has become a prominent feature in this domain. Nevertheless, with ambiguity in the literature about the effects of WhatsApp on teaching and learning and especially a paucity of research measuring collaboration on WhatsApp in relation to students’ academic achievement. The purpose of the study was to explain and predict WhatsApp’s effect on academic achievement using a quantitative questionnaire. The results suggest that increased collaboration on WhatsApp may improve academic achievement. Additionally, improving other aspects, such as active learning, trust, support, formality, interaction and interdependence, may enhance collaboration and, in turn, improve academic achievement. The study has value by providing measurable scientific evidence about the effects of WhatsApp on learning that can be incorporated into the design of teaching and learning activities with WhatsApp to improve academic achievement. / Uhlelo lokufunda uhamba (Mobile learning) selikhule ladlondlobala laba yisigaba esibalulekile ngaphansi komkhakha wemfundo kanti, lolu hlelo selunabasebenzisi abangamabhiliyoni amabili emhlabeni wonke jikelele, uhlelo lwenkundla yezokuxhumana komphakathi lwe-WhatsApp seluyinkanyezi egqamile kulesi sizinda. Yize-kunjalo, kukhona okungacaci kahle mayelana nombhalo wobuciko kwimiphumela yohlelo lwe-WhatsApp mayelana nokufundisa kanye nokufunda, kanti ikakhulu, uhlelo lwezocwaningo olulinganisa izinga lokusebenzisana kohlelo lwe-WhatsApp okumayelana nokuphumelela kwabafundi kwizifundo zabo. Inhloso yalolu cwaningo kwaye kuwukuchaza kanye nokuhlahla umphumela wohlelo lwe-WhatsApp kwezemfundo, ngokusebenzisa uhlelo locwaningo lwemibuzo egxile kumanani (quantitative questionnaire) . Imiphumela iphakamisa ukuthi izinga lokusbenzisana ohlelweni lwe-WhatsApp lungathuthukisa umphumela wezemfundo. Ngaphezu kwalokho, lungathuthukisa ezinye izinhlaka, ezinjengohlelo lokufunda olumatasa. Lungaletha ukwethembana, ukuxhasana, ukwenza izinto ngendlela esemthethweni, lungaletha ukuxoxisana kanye nokusebenzisana kwangaphakathi, lungaqinisa ukusebenzisana, kanti ngakolunye uhlangothi, lungaletha impumelelo kwezemfundo. Ucwaningo lubalulekile ngoba lunikeza ubufakazi bezesayensi obulinganisekayo mayelana nemithelela yohlelo lwe-WhatsApp ohlelweni lokufunda, okuwuhlelo olungafakwa ngaphansi kohlelo lokudizayina imisebenzi yohlelo lokufunda nokufundisa ku-WhatsApp ukuthuthukisa ukwenza ngcono imiphumela yezemfundo. / Mobiele leer het in ’n noodsaaklike komponent van die onderwyslandskap ontwikkel en met twee miljard gebruikers wêreldwyd, het die sosiale mediaplatform WhatsApp ’n prominente kenmerk van hierdie domein geword. Nogtans bestaan daar dubbelsinnigheid in die letterkunde oor die uitwerking van WhatsApp op onderrig en leer, en is daar veral ’n gebrek aan navorsing wat die samewerking op WhatsApp in verhouding tot die studente se akademiese prestasies meet. Die doel van hierdie studie was om WhatsApp se uitwerking op akademiese prestasie aan die hand van ’n kwantitatiewe vraelys te verduidelik en te voorspel. Die resultate stel voor dat ’n groter mate van samewerking op WhatsApp akademiese prestasie kan verbeter. Dit kan ook ander aspekte soos aktiewe leer, vertroue, ondersteuning, formaliteit, interaksie en onderlinge afhanklikheid verbeter en kan samewerking verhoog, wat op sy beurt akademiese prestasie kan verbeter. Die studie is waardevol in die sin dat dit meetbare, wetenskaplike bewyse oor die uitwerking van WhatsApp op leer verskaf het, wat by die ontwerp van onderrig- en leeraktiwiteite geïnkorporeer kan word om akademiese prestasie te verbeter. / School of Computing / M. Tech. (Information Technology)

La modélisation par équations structurelles est très répandue dans des domaines très variés et nous l'appliquons pour la première fois en métrologie dans le traitement de données de comparaisons interlaboratoires. Les modèles à équations structurelles à variables latentes sont des modèles multivariés utilisés pour modéliser des relations de causalité entre des variables observées (les données). Le modèle s'applique dans le cas où les données peuvent être regroupées dans des blocs disjoints où chaque bloc définit un concept modélisé par une variable latente. La structure de corrélation des variables observées est ainsi résumée dans la structure de corrélation des variables latentes. Nous proposons une approche bayésienne des modèles à équations structurelles centrée sur l'analyse de la matrice de corrélation des variables latentes. Nous appliquons une expansion paramétrique à la matrice de corrélation des variables latentes afin de surmonter l'indétermination de l'échelle des variables latentes et d'améliorer la convergence de l'algorithme de Gibbs utilisé. La puissance de l'approche structurelle nous permet de proposer une modélisation riche et flexible des biais de mesure qui vient enrichir le calcul de la valeur de consensus et de son incertitude associée dans un cadre entièrement bayésien. Sous certaines hypothèses l'approche permet de manière innovante de calculer les contributions des variables de biais au biais des laboratoires. Plus généralement nous proposons un cadre bayésien pour l'amélioration de la qualité des mesures. Nous illustrons et montrons l'intérêt d'une modélisation structurelle des biais de mesure sur des comparaisons interlaboratoires en environnement. / Structural equation modelling is a widespread approach in a variety of domains and is first applied here to interlaboratory comparisons in metrology. Structural Equation Models with latent variables (SEM) are multivariate models used to model causality relationships in observed variables (the data). It is assumed that data can be grouped into separate blocks each describing a latent concept modelled by a latent variable. The correlation structure of the observed variables is transferred into the correlation structure of the latent variables. A Bayesian approach of SEM is proposed based on the analysis of the correlation matrix of latent variables using parameter expansion to overcome identifiability issues and improving the convergence of the Gibbs sampler. SEM is used as a powerful and flexible tool to model measurement bias with the aim of improving the reliability of the consensus value and its associated uncertainty in a fully Bayesian framework. The approach also allows to compute the contributions of the observed variables to the bias of the laboratories, under additional hypotheses. More generally a global Bayesian framework is proposed to improve the quality of measurements. The approach is illustrated on the structural equation modelling of measurement bias in interlaboratory comparisons in environment.

Foreign exchange banking organisations afford individuals great career opportunities, and therefore endeavour to attract high-caliber employees who are self-motivated and create the dynamic, innovative and professional culture characteristic of the organisation. Retaining key talent characterised by skills shortages has become an imperative for sustaining competitive business performance in a fast-changing economic environment. The general aim of this research was to develop a model of employee motivation and job satisfaction for staff retention practices in a foreign exchange banking organisation. The concepts of employee motivation, job satisfaction and employee retention were discussed with regard to their history, conceptual foundation, theoretical approaches, types, variables and consequences. The theoretical model was developed accordingly on the basis of the literature review, and revealed the factors that could influence employee retention. The main purpose of the empirical research was to operationalise the theoretically derived motivation and job satisfaction concepts, statistically determine the underlying variables of motivation and job satisfaction that influence employee retention and develop a structural equation model to verify the theoretical model. A quantitative empirical research paradigm using the survey method was followed. Explanatory and descriptive research was used in this study, with a sample of 341 foreign exchange banking individuals drawn from a financial institution. Three questionnaires and a biographical questionnaire were adapted and administered to employees. The Work Preference Inventory (WPI) measured employee motivation, the Job Satisfaction Survey (JSS) measured job satisfaction, and the Employee Retention Questionnaire (ERQ) measured employee retention intention. A structural equation model development strategy produced a new best-fitting retention model based on the new constructs postulated in the factor analysis. The model indicated that job satisfaction explained the highest variance of retention when compared to motivation. The research should contribute towards a comprehensive understanding of the factors that influence employee retention. The new model of employee motivation and job satisfaction for staff retention practices in a South African foreign exchange banking organisation could assist organisations in retaining skilled and talented staff. The study should encourage practitioners to take cognisance of the fact that organisations are different and that the motivation and job satisfaction factors for employee retention need to be considered. / Public Administration and Management / D. Com. (Industrial and Organisational Psychology)

Avitourism (birding) in South Africa, with remarkable birdlife, provides economic, social and conservation opportunities. Globally, bird species are decreasing rapidly due to environmental degradation and climate change. The dependence of avitourism on natural resources is undisputable, urging further research. Avitourism research is embryonic compared to higher-order tourism markets (i.e. naturebased) and under-researched in the southern hemisphere. Despite increased international scholarship, substantial knowledge gaps remain regarding strategies to enhance sustainable avitourism. Education, encouraging changes in environmental behaviour, is essential to solve environmental problems. The current day learners influence the future state of the natural environment and consequently the sustainability of avitourism in South Africa. The research therefore aimed to develop a literacy model for sustainable avitourism aimed at secondary school learners in Gauteng (South Africa). In phase 1 of the methodological procedure, mechanisms facilitating behavioural change towards nature were explored. A conceptual literacy framework for sustainable avitourism was developed in phase 2 (theoretical contribution). Phase 3, consisted empirical research. Multi-stage sampling was used to collect primary data by distributing questionnaires at 17 purposively selected secondary schools in Gauteng from July to October 2014. The data were obtained from n = 5 488 secondary school learners (aged 13–17). Descriptive statistics provided insight into ‘environmental and avitourism literacy’ of the learners. Exploratory- and confirmatory factor analyses (EFA; CFA) and structural equation modelling (SEM) were employed to test the conceptual literacy framework. Obtaining the primary objective, a literacy model for sustainable avitourism was developed and confirmed (empirical contribution). Critical paths were identified in the model to enhance the likelihood of behavioural change. The literacy model could be useful for environmental education and avitourism roleplayers, assisting in curriculum development and evaluation (practical contribution). This model could also be applied to other educational contexts, including art and music. Bird education teaches a love for birds and nature, leading to conservation and sustained birdlife, to ensure avitourism attractions in the future. The development of sustainable avitourism intervention programmes is suggested for further research. Longitudinal research could evaluate the effects of the intervention programmes.Ultimately, the learners of today are the responsible citizens and tourists of tomorrow. / Abstract in English, Sesotho and Afrikaans / Transport, Logistics and Tourism / D.Phil. (Management Studies)

Orientation: The safety of any natural being with respect to the processing of their personal information is an essential human right as specified in the Zimbabwe Data Protection Act (ZDPA) bill. Once enacted, the ZDPA bill will affect universities as public entities. It will directly impact how personal information is collected and processed. The bill will be fundamental in understanding the privacy perceptions of students in relation to privacy awareness, privacy expectations and confidence within university. These need to be understood to give guidelines to universities on the implementation of the ZPDA. Problem Statement: The current constitution and the ZDPA are not sufficient to give organisations guidelines on ensuring personal information privacy. There is need for guidelines to help organisations and institutions to implement and comply with the provisions of the ZDPA in the context of Zimbabwe. The privacy regulations, regarded as the three concepts (awareness, expectations and confidence), were used to determine the student perceptions. These three concepts have not been researched before in the privacy context and the relationship between the three concepts has not as yet been established. Research purpose: The main aim of the study was to develop and validate an Information Privacy Perception Survey (IPPS) diagnostic tool and a Student Personal Information Privacy Perception (SPIPP) model to give guidelines to universities on how they can implement the ZDPA and aid universities in comprehending student privacy perceptions to safeguard personal information and assist in giving effect to their privacy constitutional right. Research Methodology: A quantitative research method was used in a deductive research approach where a survey research strategy was applied using the IPPS instrument for data collection. The IPPS instrument was designed with 54 items that were developed from the literature. The preliminary instrument was taken through both the expert review and pilot study. Using the non-probability convenience sampling method, 287 students participated in the final survey. SPSS version 25 was used for data analysis. Both descriptive and inferential statistics were done. Exploratory factor analysis (EFA) was used to validate the instrument while confirmatory factor analysis (CFA) and the structural equation modelling (SEM) were used to validate the model. Main findings: diagnostic instrument was validated and resulted in seven new factors, namely university confidence (UC), privacy expectations (PE), individual awareness (IA), external awareness (EA), privacy awareness (PA), practice confidence (PC) and correctness expectations (CE). Students indicated that they had high expectations of the university on privacy. The new factors showed a high level of awareness of privacy and had low confidence in the university safeguarding their personal information privacy. A SPIPP empirical model was also validated using structural equation modelling (SEM) and it indicated an average overall good fit between the proposed SPIPP conceptual model and the empirically derived SPIPP model Contribution: A diagnostic instrument that measures the perceptions (privacy awareness, expectations and confidence of students) was developed and validated. This study further contributed a model for information privacy perceptions that illustrates the relationship between the three concepts (awareness, expectations and confidence). Other universities can use the model to ascertain the perceptions of students on privacy. This research also contributes to improvement in the personal information protection of students processed by universities. The results will aid university management and information regulators to implement measures to create a culture of privacy and to protect student data in line with regulatory requirements and best practice. / School of Computing / Ph. D. (Information Systems)