Toggle Main Menu Toggle Search

Open Access padlockePrints

Vertical Stream Curricula Integration of Problem-Based Learning (PBL) using Autonomous Vacuum Robot in Mechatronics Course

Lookup NU author(s): Professor Cheng Chin

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Difficulties in teaching multi-disciplinary subject such as mechatronics system design module in Departments of Mechatronics Engineering at Temasek Polytechnic arise from the gap in experience and skill among staff and students that have different background in mechanical, computer and electrical engineering within the mechatronics department. The departments piloted a new vertical stream curricula model (VSCAM) to enhance student learning in mechatronics system design through integration of educational activities from first to second year of the course. In this case study, problem-based learning (PBL) method on an autonomous vacuum robot in the mechatronics systems design module was proposed to allow the students to have hands-on experience in the mechatronics system design. The proposed works include in PBL consists of seminar sessions, weekly works and project presentation to provide holistic assessment on team works and individual contributions. At the end of VSCAM, an integrative evaluation was conducted using confidence logs, attitude surveys and questionnaires. It was found that the activities were quite appreciated by the participating staff and students. Hence, PBL has served as an effective pedagogical framework for teaching multidisciplinary subjects in the mechatronics engineering education if adequate guidances and support are given to staff and students.


Publication metadata

Author(s): Chin CS, Yue KM

Publication type: Article

Publication status: Published

Journal: European Journal of Engineering Education

Year: 2011

Volume: 36

Issue: 5

Pages: 485-504

Print publication date: 13/10/2011

ISSN (print): 0304-3797

ISSN (electronic): 1469-5898

Publisher: Taylor & Francis

URL: http://dx.doi.org/10.1080/03043797.2011.603039

DOI: 10.1080/03043797.2011.603039


Altmetrics

Altmetrics provided by Altmetric


Share