BACKGROUNDSimulation-based Learning (SBL) was used in Machining Technology, a sixtyhour module for second year engineering students, at the School of Engineering at Temasek Polytechnic. The aim of this study was to investigate the effect of SBL on learners' motivation and performance. In assessing students' motivation, we adopted a framework based on the Self-determination Theory (SDT), chosen on account of its comprehensive treatment of the relationship between students' perceived needs satisfaction and their motivation. PURPOSE (HYPOTHESIS)It is hypothesized that SBL, which provides learners with interactive learning experiences, will enhance students' motivation and performance. We explored the effect of SBL on students' perceived psychological needs satisfaction, motivation, and learning, and how SBL affected students' understanding and application of content knowledge. DESIGN/METHODThe intervention procedure involved the incorporation of SBL in Machining Technology, a 60 hour module in the mechanical engineering program. Survey findings and post-intervention assessment outcomes were used to assess the students' perceptions of their basic psychological needs satisfaction, motivation, and performance. RESULTSOur findings suggest that the students perceived their psychological needs to be satisfied and had high levels of self-determined motivation. Students who undertook SBL had higher mean performance test scores, although SBL may have differential effects on learners depending on factors such as gender, educational backgrounds, and IT knowledge. CONCLUSIONSOur findings suggest that the students perceived their basic psychological needs to be met and that SBL can potentially enhance self-determined motivation as well as improve learning in general.

No abstract

No abstract

This paper proposes a method for robust hand detection for interactive touchless display using cascade classifier technique. A hardware system comprising a transparent display, two video cameras and a projector is assembled to generate on-display-surface object images for touchless display. A well-trained cascade of boosted classifiers is applied to detect the position of the hand in the object image. Using this method, accurate and robust hand detection for touchless display can be achieved. The detected hand trajectory information can be converted into mouse and keyboard inputs for interactive control and manipulation in virtual applications like virtual assembly and virtual design.