Change the face of software engineering education: A field report from Taiwan

Cheng, Yu Chin

doi:10.1016/j.infsof.2010.08.005

Cited by 14 publications

(8 citation statements)

References 5 publications

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“…The education software, from theory teaching to industry applying (Mead, 2009, Lee, 2011, Huan, 2012, have designed and implemented due to bringing the vivid vision to the students. The proposed GAO software controller optimized SF of FLC by minimizing the ITAE fitness function, is suggested in this paper.…”

Section: Introductionmentioning

confidence: 99%

Design Genetic Algorithm Optimization Education Software based Fuzzy Controller for a Tricopter Fly Path Planning

Tran

Chiou

Peng

2016

EURASIA J MATH SCI T

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In this paper, the feasibility of a Genetic Algorithm Optimization (GAO) education software based Fuzzy Logic Controller (GAO-FLC) for simulating the flight motion control of Unmanned Aerial Vehicles (UAVs) is designed. The generated flight trajectories integrate the optimized Scaling Factors (SF) fuzzy controller gains by using GAO algorithm. The proposed controller underlines the superior tracking performance over standard Fuzzy Logic Controller. It is highly adaptive and can counteract environmental disturbances while guaranteeing global asymptotic stability and robust waypoint tracking.

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Section: Introductionmentioning

confidence: 99%

Design Genetic Algorithm Optimization Education Software based Fuzzy Controller for a Tricopter Fly Path Planning

Tran

Chiou

Peng

2016

EURASIA J MATH SCI T

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“…As a result of rapid technological developments on information and communication technologies, the demands on graduates with a high competence in computer skills are everincreasing in knowledge-based economies around the world. Furthermore, market analysis shows that the level of investment in software related industries are dramatically increasing compared to hardware related industries, which is a phenomenon that put an emphasis on the learning programming (Lee & Cheng, 2011). As a consequence, such expectations pose a new challenge which should be addressed especially through introducing novel and efficient computer programming courses in higher education institutions.…”

Section: Introductionmentioning

confidence: 99%

“…As a consequence, such expectations pose a new challenge which should be addressed especially through introducing novel and efficient computer programming courses in higher education institutions. However, despite this tendency and demands on the human sources with high competence and skills of computer programming, there are plenty of studies in literature, which report the deficiency in computer programming education (Lee & Cheng, 2011, Sivasakthi & Rajendran, 2012Nikula et. al., 2011;Robins, 2010;Tan & et.…”

Section: Introductionmentioning

confidence: 99%

Adapting Computer Programming Self-Efficacy Scale and Engineering Students’ Self-Efficacy Perceptions

Korkmaz¹,

Altun²

2014

PER

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Students might have different type and different level of perceptions: Positive or negative perceptions on programming; a perception on benefit of programming, perceptions related to difficulties of programming process etc. The perception of student on their own competence is defined as self-efficacy. Based on the discussions reported in literature, measuring self-efficacy is certainly necessary and, in this context, is highly important in order to develop new pedagogical methods to address the problems related to computer programming. The purpose of this study is to adapt a well-known self-efficacy scale and determine engineering student's C++ computer programming self-efficacy levels. The sample group consists of 378 engineering students. In order to test the validity of the scale, an exploratory factor analysis has been conducted and item discriminative power has been evaluated. The reliability of the scale, on the other hand, has been justified using the internal consistency level. The results indicate that the scale is reliable and valid, and it can be used to measure the self-efficacy of the engineering student in Turkish cultural environment. Furthermore, it is revealed that the level of self-efficacy perception of the students is middling and it does not show any meaningful difference between genders. On the other hand, self-efficacy perception of students in computer engineering is found to be higher than that of the students in electrical-electronics engineering.

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“…Thus, a two-phase, eight-year, national effort began in 2002 for universities to improve software engineering education (see Figure 4.1). The Software Engineering Consortium (SEC) was formed in 2004 with funds from the Ministry of Education (Lee and Cheng, 2011), and from 2003 to 2008, the number of universities that regularly offer software engineering courses grew from 63 to 92, while the number of courses grew from 159 to 406, and 7,396 students took software-engineering-related courses in the academic year 2008. Since there are about 30,000 university students majoring in computer science or information engineering per year (Education Statistics, 2011) and the number of students in each grade is about 7,500, clearly almost all students learned software engineering models and methods.…”

Section: Introductionmentioning

confidence: 99%