No description available.

No description available.

No description available.

Submitted in Fulfillment of the Requirements of the Degree of Master of Engineering, Durban University of Technology, Durban, South Africa, 2015. / Student success and throughput rates remain a challenge at South African higher education institutions (Strydom, Mentz and Kuh, 2010) and the results in Industrial Engineering at the Durban University of Technology are no exception. Statistics released by the Department of Management Information Systems at this university in November 2012 on the graduation rates of students registered for the National Diploma: Industrial Engineering from 2009 to 2011 bear testimony to this, as the average graduation rate is between 10% and 21%. This research study investigated the learning styles, teaching methods and student performance in Industrial Engineering at a selected university of technology in South Africa by examining the preferred learning styles of students, and lecturers’ preferred teaching styles at various levels. The Felder and Silverman Model (1988) which was specifically designed to capture significant differences in learning styles amongst engineering students, was employed as the framework for the study. Using a mixed-methods research approach, the target population for the study was the 200 students registered for the National Diploma: Industrial Engineering at the Durban University of Technology in 2013. The lecturers were identified through convenience sampling. The sample comprised five lecturers and 150 students. The participants were recruited by sending letters to inform them about the study and its purpose. Student participation was completely voluntary. The data was collected through questionnaires, and semi-structured interviews. The study used the ILS Questionnaire developed by Felder and Solomon to assess the four scales of leaning style preference among engineering students. The questionnaire was adapted to include some demographic information such as race and gender. After the lecturers were interviewed, direct observation took place in the class room in order to determine their teaching style. The researcher ensured validity of the data through triangulation and tested the reliability of the ILS questionnaire by running a pilot study. In order for the questionnaire to be reliable, the results should be the same on both occasions. The Statistical Package for the Social Sciences was used to analyse the data from the ILS questionnaire and the data from the interviews were analysed using NVivo™ software. After the learning styles and teaching styles were identified, the quasi experiment was used to determine if changes in the lecturers’ teaching methods had any influence on the students’ learning styles and performance. It was found that this was indeed the case. In some instances such as Engineering Work Study 1, changes in the teaching method had a positive effect on student performance, but in modules such as Costing 2 and Production Engineering 2, the changes negatively impacted student performance. The study therefore confirmed that teaching styles and learning styles influence student performance. This knowledge could be used by lecturers to familiarise themselves with their students’ learning styles and to match their teaching to these learning styles in a manner that benefits all students. Students also need to be aware of their preferred learning styles and to be guided on how to use these to improve their performance in each of their modules. / M

What constitutes a quality solution to an authentic task from industry? This study seeks to address this question through the examination of two expert solutions to an authentic engineering task used in the Chemical, Biological and Environmental Engineering curriculum at Oregon State University. The two solutions were generated by two teams of expert engineers with varying backgrounds. The experts solved a process development problem situated in the semiconductor manufacturing industry. Transcripts of audio recordings, design notebooks, and other work products were analyzed to identify common features in the two expert solutions. The study found that both experts placed a large focus on information gathering, modeling before experimentation, and fine tuning of the process. These solution features define a core set of expert competencies and facilitate understanding of high quality solution traits. An additional goal of the study was to identify competencies unique to each expert solution. It was observed that the expert teams used different proportions of first principles modeling and statistical experimental design to solve the problem. This proportion was dependent on the problem solver’s background and therefore should be expected to vary among student solutions. Implications of the work regarding instruction and assessment in engineering education are discussed. / Graduation date: 2012

In 2000 the Electrical and Computer Engineering department at Oregon State University began a new and innovative program named TekBots[superscript TM]. This program was created to solve the problems of students in existing undergraduate engineering education not having sufficient skill when graduating in six program educational objectives; Depth, Breadth, Professionalism, Innovation, Community, and Troubleshooting. TekBots uses several core values such as personal ownership, curriculum continuity, contextual teaching, fun, and hands on learning, to encourage students to learn and improve. Since the inception of the program two courses have been greatly refined. An evaluation of the courses supports our indications of improvement our program educational objectives. This thesis presents the TekBots program and the details of the first two TekBots courses. / Graduation date: 2003

Not available / text

No description available.

Thesis (MTech (Business Administration))--Cape Peninsula University of Technology, 2017. / A steady decline in student enrolment at the Tshwane University of Technology’s Faculty of Engineering and the Built Environment (TUTFEBE) was seen in recent years. Small numbers of South African pupils have been matriculating with Mathematics as a subject, and most of them have been underperforming. Since there has been no scientific evidence to date on which recruitment and guidance efforts work best for attracting quality learners for courses in engineering at the Tshwane University of Technology (TUT), this study was conducted to identify the factors that influence learners’ choice of engineering as a career. This information could assist in the design of an evidence-based recruitment and marketing model. A single-case explanatory study design was used for this research, since it focused on the TUTFEBE. A quantitative and qualitative study was completed by means of inputs from first-year extended curriculum engineering programme students. The data was analysed using the Statistical Package for the Study of Social Sciences (SPSS). By studying the qualitative data from more than one viewpoint, the quantitative findings were verified and triangulated. The influences that played a role in learners’ career choices were identified. Thematic clusters emerged as stimulation or creation of an awareness of or interest in engineering, the influences of different people on learners’ career choices, relevant exposure to careers in engineering, the huge impact of Maths and Science teachers on learners’ career decision-making, method of teaching, employability and the image and reputation of an institution. It became evident that engineering faculties themselves need to assume responsibility for the recruitment of their students. Copying seems to be the main coping strategy in most institutions regarding marketing and recruitment engagements. Although many of TUTFEBE’s current marketing and recruitment actions were on par with the rest of the world, alternative actions were identified and implemented in the model. Informed consent in written format for both the quantitative and qualitative studies was obtained from the subjects after they had been informed what the purpose, risks and benefits were and which procedures would be implemented to ensure confidentiality. The subjects were informed of their right to withdraw at any stage, without any penalty or disadvantage, and were assured that withdrawal would in no way influence their continued relationship with the researcher or their academic progress at TUT.

D.Phil. (Engineering Management) / Process improvement is essential for an organisation to remain competitive in the global market. Regardless of the type of products or service being rendered, such improvement is essential for remaining profitable and staying at the top of one’s industry market. The Lean Six Sigma (LSS) methodology is a preferred methodology for continuously improving business processes, thereby improving profitability and increasing market share. Higher education institutions are increasingly being placed under pressure to improve throughput and to ensure that that their institutions are sustainable. This focus on higher education inefficiencies has resulted in institutions looking for new ways to improve processes which will lead to increases in throughput. In this study, a LSS framework has been developed and applied for improving engineering education processes...