The lack of parental support and the use of English as the language of teaching and learning are two of the main factors that influence poor learner performance in South Africa. Although a significant amount of research has been conducted internationally, the need for research tailored for the South African context still exists. Therefore, the purpose of the current study was to contribute to knowledge about parental support concerning learner development of second language proficiency. An explanatory sequential design of mixed methods research, also known as two-phased model was used to guide the study. The first phase focused on the quantitative secondary data from Progress in International Reading Literacy Study 2006 (PIRLS 2006). The source of the secondary data was the results of the parent questionnaire, administered to South African parents of the Grade 4 learners (n = 16 073). The International Database (IDB) analyser software and Statistical Program for the Social Sciences (SPSS) were used for data analysis. Both descriptive and inferential statistics were computed. The quantitative results revealed that a significant percentage of parents (30%, SE =0.7) did not engage in literacy related activities with their children prior to Grade 1 compared to a low percentage (2%, SE = 1.21) of those who did the activities. However, a significantly higher percentage of parents (29%, SE = 0.65) did engage in literacy activities with their children in Grade 1, compared to 5% (SE =0.34) who never or almost never did the activities. A significantly higher percentage of parents (89%, SE = 0.67) agreed a lot with positive reading attitude statements compared to 2% (SE = 0.25) who disagreed a lot. The limited time spent by parents on reading and books at home were noted as a matter of concern. This concern was augmented by the low educational level and employment status of the parents. These results were used to inform the qualitative data collection in order to gain a deeper understanding of the experience of the parents. The second or qualitative phase of the study used convenience sampling to select participants, to gain an understanding of their experiences with regard to supporting the second language development of their children. The eight (8 participants) selected parents participated in two focus group meetings. Six themes emerged from thematic data analysis, namely: alternative parenting, parent-child activities, technology and Internet support, parental challenges, language usage and quality of education. The characteristics used for developing a conceptual framework for parental support on second language development were extracted from these aforementioned themes. The results revealed that parental support is a complex dynamic process that requires one to consider the interface of systems around the parent and the learner. Consequently, how this complexity requires a reconceptualisation of factors affecting parental support concerning second language development. The reconceptualisation can provide new avenues for theorising about parental support in second language learning context, particularly in multilingual and developmental countries. / Thesis (PhD)--University of Pretoria, 2019. / Educational Psychology / PhD / Unrestricted

Magister Educationis - MEd / This study analysed the modelling competencies of grade 11 learners and also explored the degree to which the learners’ competency in setting up a mathematical model inhibits the development of an acceptable solution for word problems. The research data comprised 30 learners drawn from a secondary school in the Western Cape Province, South Africa. Data was collected via a task-based activity response sheet containing five word problems linked to either one of the following concepts: rectangle, two-digit number, average speed and petrol price. Learners’ responses were graded into four categories viz: correct, partially correct, incorrect and no response. Thereafter, the modelling competency framework was used to diagnose the modelling competencies of the sampled learners.

This study explores the use of computer simulations to supplement learning in Science lessons, specifically the photoelectric effect. This study uses the Felder and Silverman Learning Style Model (FSLSM) as a theoretical framework to investigate the use of simulations as it provides a useful lens through which to explore the consistent way in which a person learns regardless of the teaching method or content learnt. Using this theoretical framework, this research investigates the experiences of learners with different learning styles when an interactive computer simulation is used to aid teaching the photoelectric effect in Physical Science. This case study used qualitative data collected from 17 computer literate Grade 12 learners in three different classes at a secondary school in Nelspruit, Mpumalanga. Analysis of the data collected in this study shows that when the simulation is used in Science, the learning experience of the learners is enhanced. Positive experiences for all four the Dimensions in the FSLSM could be indentified when the ICS was used and this could be linked to specific learning styles. Sensory and Intuitive learners enjoyed conducting the experiment that would normally require unsafe conditions and that the experiment could be set up quickly and with ease. The different dimension brought about by using the ICS was enjoyed by Intuitive learners. The visualisation of the abstract physical systems enhanced the learning for Visual and Verbal learners, whilst Global and Sequential learners felt that they gained a deeper understanding of the photoelectric phenomenon by using the ICS. Reflective learners enjoyed the precision of their pseudo-experimental data, but the Active learners felt that they did not understand the graphs given in the ICS. The interactive control variables and the fact that the learners had an option to work in either a group or on their own, benefitted both Active and Reflective learners. / Dissertation (MEd)--University of Pretoria, 2013. / gm2014 / Science, Mathematics and Technology Education / unrestricted

This study was motivated by my desire to understand participants’ perceptions about the effectiveness of learner support services and their contribution to distance learners’ progress and programme completion in the DPE programme in Botswana. The investigation was carried out to find out why despite the provision of learner support services, there were low completion rates and high incomplete rates in the final year (2002/2003 cohort) of the DPE programme. The study also intended to understand the strengths and weaknesses of learner support services and make recommendations for improvement. A qualitative case study research design was applied. Group and individual interviews were conducted with participants. Data were analysed using Atlas ti computer software which simplified the management of the large corpus of data generated during the fieldwork. The study found that there was need for sustained learner-tutor and learner-learner interaction and regular communication with the supporting institution during the learning process. This would require planning and aligning learner support services to identified learner needs, access to learning resources including the existence and application of effective monitoring and supervision mechanisms for academic, counselling and administrative support in order to ensure commitment and accountability of learner support providers. In order to reduce isolation which is created by the physical separation between learners and service providers, the study recommended a structure for the provision of decentralized learner support services that are as close as possible to where distance learners live and work for ease of access. The study further found that there is need for policy guidelines and management structures to facilitate the provision of effective learner support services for the benefit of distance learners. / Thesis (PhD)--University of Pretoria, 2012. / Education Management and Policy Studies / unrestricted

Department of Public Health / MPH

The recent advancements in computing and sensor technologies, coupled with improvements in embedded system design methodologies, have resulted in the novel paradigm called the Internet of Things (IoT). IoT is essentially a network of small embedded devices enabled with sensing capabilities that can interact with multiple entities to relay information about their environments. This sensing information can also be stored in the cloud for further analysis, thereby reducing storage requirements on the devices themselves. The above factors, coupled with the ever increasing needs of modern society to stay connected at all times, has resulted in IoT technology penetrating all facets of modern life. In fact IoT systems are already seeing widespread applications across multiple industries such as transport, utility, manufacturing, healthcare, home automation, etc. Although the above developments promise tremendous benefits in terms of productivity and efficiency, they also bring forth a plethora of security challenges. Namely, the current design philosophy of IoT devices, which focuses more on rapid prototyping and usability, results in security often being an afterthought. Furthermore, one needs to remember that unlike traditional computing systems, these devices operate under the assumption of tight resource constraints. As such this makes IoT devices a lucrative target for exploitation by adversaries. This inherent flaw of IoT setups has manifested itself in the form of various distributed denial of service (DDoS) attacks that have achieved massive throughputs without the need for techniques such as amplification, etc. Furthermore, once exploited, an IoT device can also function as a pivot point for adversaries to move laterally across the network and exploit other, potentially more valuable, systems and services. Finally, vulnerable IoT devices operating in industrial control systems and other critical infrastructure setups can cause sizable loss of property and in some cases even lives, a very sobering fact. In light of the above, this dissertation research presents several novel strategies for identifying known and zero-day attacks against IoT devices, as well as identifying infected IoT devices present inside a network along with some mitigation strategies. To this end, network telescopes are leveraged to generate Internet-scale notions of maliciousness in conjunction with signatures that can be used to identify such devices in a network. This strategy is further extended by developing a taxonomy-based methodology which is capable of categorizing unsolicited IoT behavior by leveraging machine learning (ML) techniques, such as ensemble learners, to identify similar threats in near-real time. Furthermore, to overcome the challenge of insufficient (malicious) training data within the IoT realm, a generative adversarial network (GAN) based framework is also developed to identify known and unseen attacks on IoT devices. Finally, a software defined networking (SDN) based solution is proposed to mitigate threats from unsolicited IoT devices.

Magister Educationis - MEd / This study aimed to ascertain in what ways violence and crime influence the teaching and learning programme in schools in a disadvantaged community. The context is a primary school in an informal settlement in Samora Machel, Philippi, in the Cape Flats, where violence is endemic. The study shows that violence does not occur in school playgrounds and areas around the school only; classrooms are becoming common sites for violence. This study sought to establish teacher and learner experiences of violence at school, and the role of school management and parents in dealing with it, with a specific focus on school policies on discipline and how violence affects teaching and learning. The investigation also included learner behaviour during recess.

English language learners (ELLs) are the fastest growing student group in U.S. public schools. ELLs also consistently lag behind their native-English speaking peers in academic achievement. These facts set the stage for the study that evaluated one school district’s program to prepare their teachers to effectively educate ELLs. This program included a year-long series of six professional development courses that covered ELL-specific topics. The study’s evaluation tools included an online survey completed by teachers who took the courses, teachers’ feedback on course evaluation forms, interviews of district-level officials familiar with the program, and an examination of the homework assignments from each course. The program evaluation showed that teachers and district officials thought the courses helped prepare the teachers to instruct ELLs. However, the teachers’ feedback about the program’s influence included some specific references to teaching ELLs, but more examples from general education settings. The evaluation also found that only about 10% of the homework assignments required direct instruction of students. These evaluation results suggest that the program could be strengthened to include more opportunities for teachers to practice instructing ELLs. This additional practice could increase teachers’ confidence to serve the needs of ELLs in their classrooms.

Morphological awareness (MA) is the knowledge of word structure and capacity to manipulate the meaningful parts of words (Kuo & Anderson, 2006). This study examined derivational MA in the English reading processes of 85 linguistically diverse middle school students in grades six through eight. 56 participants had a native/home language (L1) of Spanish, Portuguese, Chinese, Haitian Creole, or Cape Verdean Creole (CVC) and were acquiring English as a second language (L2). 29 participants were L1 English speakers, which facilitated comparisons between L1 and L2 English readers in how three predictors—MA, word reading, and vocabulary knowledge—related to English reading comprehension. Tests were administered in English to assess word reading, reading comprehension, MA, reading vocabulary, and silent word reading fluency for all 85 participants. The study a.) Explored the unique contribution of English MA to English reading comprehension; b.) Examined this relationship in light of English word reading and English vocabulary knowledge; c.) Compared linear regression models to examine which factor (or combination of these factors) explained the most variation in English reading comprehension; d.) Looked at differences in the relationships between the reading variables for L2 English readers, based on L1 background; and e.) Explored L1 background as a possible moderator between MA and L2 English reading comprehension; and e.) Observed potential differences in these relationships between L1 and L2 English readers. All four measures correlated with L2 English reading comprehension for the combined group of L2 English readers, yet MA showed the strongest association. MA was also found to predict L2 English reading comprehension—as did word reading and vocabulary knowledge—when controlling for grade/ time of testing, district, and socio-economic status (SES). Using the same control variables, the bivariate model of MA and English word reading was equal in strength to the model combining MA, word reading, and vocabulary knowledge to predict L2 reading comprehension. Vocabulary knowledge did not add significant predictive value. Differences by L1 background were seen in correlations and in various regression models predicting L2 English reading comprehension. Controlling for grade/time of testing, district, and SES, MA alone created the best model to explain variance in L2 reading comprehension for Chinese speakers. For Portuguese speakers—using the same controls—the combination of MA, word reading, and vocabulary created the best predictive model for L2 English reading comprehension. The bivariate model of vocabulary and MA and the combined model with all three variables equally predicted English reading comprehension for Spanish speakers. No models effectively predicted English reading comprehension for Haitian Creole speakers. The model combining all three predictors explained the most variance in L2 reading comprehension. Additionally, L1 did not moderate the relationship of MA to L2 English reading comprehension. For L1 speakers of English, MA uniquely predicted English reading comprehension—as did word reading, and vocabulary—when controlling for grade/time of testing, district, and SES. However, the best predictor of L1 English reading comprehension was the combined contribution of MA, word reading, and vocabulary knowledge. L1 and L2 English readers differed in the correlations between variables and in how well the various regression models explained variance in English reading comprehension. The controls of grade/time of testing and SES were significant as predictors in models of L1 English reading comprehension. Z- tests did not reveal significant differences when comparing the correlation coefficients of independent variables in the regression models. Implications for instruction and future research are presented.

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