An exploration of grades 10 - 12 computer applications technology teachers' problem-solving skills in the Free State

Thesis (Phd. (Education )) - Central University of Technology, Free State, 2015For learners to be effective computer applications users, they need three basic skills – computer literacy, computer fluency and intellectual and reasoning skills to apply computational techniques or computer applications to the problems and projects in a field. Computational thinking as addressed in the first literature chapter is the description and the promotion of new ways of thinking in an increasingly digital age. A computational thinker must constantly engage in technology advancements. Computational thinking is a way of solving problems and is a cognitive or a thinking process. To flourish in the world of work, computational thinking has to be a fundamental part of the way learners think and understand the world. It describes the mental activity in formulating a problem to allow a computational solution. The solution can be carried out by the learner or the computer or a combination of learner and computers. Problem-solving competency as addressed in the next literature chapter involves the ability to acquire and use new knowledge, or to use old knowledge in a new way to solve problems that are not routine. Problem-solving as a skill involves a range of processes that includes analysing, interpreting, reasoning, predicting, evaluating and reflecting. Learners need profound Computer Applications Technology (CAT) knowledge and a general reasoning ability as well as investigative strategies for solving ill-defined problems. To address the research questions, the researcher employed the QUAN-QUAL design in this study. In this study the quantitative method was used to gather data relating to the education of teachers, in-service training received and answers to certain computational thinking skills and problem-solving skills. It was also used to test the relationship between problem solving and computational thinking skills. A Likert-scale type questionnaire was completed by 150 CAT teachers. In addition, this study also employed the qualitative method with semi-structured interviews to gather data relating Abstract vi to problem solving and computational thinking skills. Eight CAT teachers were interviewed to ascertain the afore-mentioned. A pilot study was conducted with the aim to test the research approach and to identify potential problems that may affect the quality and validity of the results. The wording of some questions in the questionnaire was altered to ensure that the instrument measures what it is supposed to. Descriptive statistics in this study was used to describe the findings and the inferential statistics used to test the hypotheses and draw conclusions from the quantitative statistics. For qualitative data, thematic analysis was used to analyse the original data obtained from the semi-structured interviews. To promote critical thinking skills, teachers must engage learners in higher-order thinking. Findings show that teachers do not always use classroom practices that encourage critical thinking. It was encouraging that the majority of teachers do allow group work in the CAT classroom, as group work is an important facet in computational thinking and problem solving. The study culminates in a computational thinking and problem-solving toolkit developed by the researcher. This toolkit is intended primarily for facilitators (such as CAT subject advisors or CAT mentor teachers) to enable them to conduct workshops for fellow CAT teachers. By using this toolkit, teachers will gain an understanding of what computational thinking skills and problem-solving skills are and how to develop these skills in Grades 10 – 12 CAT learners