The purpose of this chapter is to provide readers with an overview of a case of the innovative and successful use of digital resources for open distance online learning, or e-learning. To further summarize the content of the chapter, background is offered in a literature study, including related definitions, on the extent to which the application of quality evaluation tools for learning objects were adequate and appropriate for engineering tuition. The main focus of the chapter is on presenting the authors' perspectives on the issues, challenges, problems, etc., as these relate to the themes and arguments supporting their position. The next section of the chapter discusses how this research will lead to the development of solutions and recommendations that will deal with the issues or problems presented. Emerging trends and future research directions are discussed before a discussion of the overall coverage of the chapter and concluding remarks are provided.
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 TL lessons. An intervention program was instructionally designed to develop a personalized and differentiated learning process that breaks down lessons into lower and basic components, for struggling learners, and improves lessons to a complex high level and challenging activities for excelling students. Forty students were considered for the study. Moore’s theory of transactional distance was used as a theoretical framework. The data consisted of exam and assignment scores. A quantitative method was used to analyse the data. Hypothesis testing suggests that the intervention program is significant. The overall pass rates improved by 25%.
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 TL 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 assignment scores. Hypothesis testing at a 95% level of significance suggests that the intervention program made an impact. The overall pass rates improved by 25%.
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