Developing an Innovative Program for First Year Engineering Statistics Students at an Open Distance University
Developing an Innovative Program for First Year Engineering Statistics Students at an Open Distance University

Summary/Abstract: A study was performed on a first year industrial engineering statistics course to improve the statistics pass rate. Statistics is a requisite for other engineering courses. The pass rate for the statistic course was below 50%. The primary purpose is to enable learners to build a capacity to comprehend module content and establish a deeper level of learning that will enable learners to achieve goals and objectives of T&L lessons. An intervention program was instructionally designed to develop a personalized and differentiated learning process that breaks down lessons into lower and basic cognitive components, for struggling learners. The program improves e-learning lessons to a complex higher cognitive level and advances challenging activities for excelling students. Forty students were considered for the study. Moore’s theory of transactional distance was used as a theoretical framework. A quantitative method was used to analyse the data. The data consisted of exam and assignment scores. Hypothesis testing suggests that the intervention program is significant. The overall pass rates improved by 25%.

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