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Development Of Web Based Environments To Support Self Directed Learning Of Industrial Technology: An Example From Microtechnology

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Conference

2009 Annual Conference & Exposition

Location

Austin, Texas

Publication Date

June 14, 2009

Start Date

June 14, 2009

End Date

June 17, 2009

ISSN

2153-5965

Conference Session

Technology Integration in the Classroom

Tagged Division

Manufacturing

Page Count

10

Page Numbers

14.487.1 - 14.487.10

DOI

10.18260/1-2--15624

Permanent URL

https://strategy.asee.org/15624

Download Count

381

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Paper Authors

biography

Min Jou National Taiwan Normal University

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Min Jou received M.S. from University of Missouri in 1992 and Ph.D. from Rensselaer Polytechnic Institute in 1994. Since 2001, he has been with National Taiwan Normal University where he is currently a professor in the Department of Industrial Education with a joint appointment in the Department of Mechatronic Technology. Professor Jou has authored 1 technical book in design, and over 30 papers in diverse areas of computer technology, e-learning technology, engineering education, automation, and material processing technology. In addition to, he served as reviewer of numerous SSCI and SCI indexed journal for many years. Dr.Jou is an editorial board member of the International Journal of Electronic Democracy (Inderscience Publishers). He is currently serving as Technical Committee on the Web, Internet, and Multimedia (IASTED, Canada).

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biography

Yu-Shiang Wu China Institute of Technology

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Associate Professor, Department of Mechanical Enginering

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biography

Han-Wei Zhang National Taiwan University

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Graduate Student, Department of Electrical Engineering

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Ming-Jenn Wu National Taiwan Normal University

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Professor, Department of Industrial Education

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Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract

Development of Web-based Environments to Support Self- Directed Learning of Industrial Technology – Instance in Micro Technology

Abstract

Most technological education relies on “cookbook”-oriented practice that provides students with a technical question, the procedure to address the question, the expected results of the experiment, and even an interpretation of those results. The purpose is to get familiar with the existing technologies. However, technologies are currently undergoing dynamic developments. The fundamental pedagogical approaches of technological education must change from “technology- practicing,” into “enhancing students’ problem solving ability,“ through practical activities. Self- directed learning is to encourage students to learn inductively with the help of teaching systems. This method gives students more freedom to come up with a question to investigate, devise an experimental procedure, and decide how to interpret the results.

Effective, or successful, self-directed learning depends on information gathering, information monitor students’ processing and other cognitive activities, and in the way they react to information. Thus, an e-learning system is developed to provide learning content with multimedia to the students, offer good support in asynchronous communication and information gathering. Further, virtual technology is applied to virtually represent the concept of frontal learning. The capability of the developed virtual environments is to offer experiential learning, simulation-based learning, and guided exploratory learning. Finally, a wireless sensor network was deployed in the laboratory to collect real-time information of students’ activities and machine operation conditions. The impact of the proposed methodology on student learning outcomes was examined. Generally, the proposed methodology is beneficial to the technological education.

Introduction

Microsystems, often referred to as microelectromechanical systems (MEMS), are miniaturized mechanical and electrical systems with a dimensional range within a few micrometers. MEMS include a wide range of applications in the automotive [1-3], communications [4-6] and bio- medical industries [7-10], and in process control [11-12]. Some examples of current applications are crash sensors for airbag systems, ink jet print heads and pressure sensors. Several industry surveys have shown that the sales of microsystem-based technologies are growing at a rate of 16% per year and are expected to reach more than $25 billion by the year 2009 [13].

The fabrication of a microsystem requires a variety of physical and chemical processes performed on a semiconductor (e.g., silicon) substrate. In general, the various processes are used to make a microsystem fall into four categories: film deposition, patterning, semiconductor doping, and packaging. Films of both conductors (such as polysilicon, aluminum, and more recently copper) and insulators (various forms of silicon dioxide, silicon nitride, and others) are used to connect and isolate transistors and their components. Selective doping of various regions of silicon allows the conductivity of the silicon to be changed with the application of voltage. By

Jou, M., & Wu, Y., & Zhang, H., & Wu, M. (2009, June), Development Of Web Based Environments To Support Self Directed Learning Of Industrial Technology: An Example From Microtechnology Paper presented at 2009 Annual Conference & Exposition, Austin, Texas. 10.18260/1-2--15624

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