Software Engineering Education

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Educating software engineers is fundamentally based on problem solving through which students assimilate and apply knowledge and skills to problems of varying complexity, size and from diverse domains. The level of understanding of the underpinning theory and acquired skills need to be ascertained through assessment. Traditional unseen examinations have long ceased to be recognized as the sole method of assessment. The research aim of this book is to understand and improve the process of small group collaborative learning in software engineering education. The portfolio of work supporting this research specifically deals with a number of background studies leading to the development of appropriate pedagogical approach for understanding and analyzing small group collaborative learning online, offline and distance education. This research shows thorough understanding of the type of learning interaction that was taking place with software engineering students in terms of their cognitive engagement or higher-order critical thinking. Furthermore, it provides usable assessment results with minimal staff effort that are as accurate as other more expensive methods.

Autorentext

Peter K. Oriogun, PhD, MSc, FBCS, CITP: Dr Oriogun is currently an Assistant Dean & Associate Professor at American University of Nigeria. He previously taught within Higher and Further Education institutions in the UK for the past 25 years. He has published extensively internationally on software engineering education and CMC transcript analysis.

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Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Gewicht 316g
    • Untertitel Towards Understanding and Improving the Process of Small Group Collaborative Learning
    • Autor Peter Oriogun
    • Titel Software Engineering Education
    • Veröffentlichung 23.07.2010
    • ISBN 3838360702
    • Format Kartonierter Einband
    • EAN 9783838360706
    • Jahr 2010
    • Größe H220mm x B150mm x T12mm
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 200
    • GTIN 09783838360706

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