Principled Flipped Learning Paradigm for Laboratory Courses in Software Engineering

Tonghua Su (), Shengchun Deng, Xiaofei Xu, Dong Li and Zhiying Tu
Additional contact information
Tonghua Su: Harbin Institute of Technology
Shengchun Deng: Harbin Institute of Technology
Xiaofei Xu: Harbin Institute of Technology
Dong Li: Harbin Institute of Technology
Zhiying Tu: Harbin Institute of Technology

A chapter in Software Engineering Education Going Agile, 2016, pp 123-128 from Springer

Abstract: Abstract Laboratory courses in software engineering are more problem solving oriented than regular courses, thus flipped learning seems to be an effective teaching approach. We present a principled flipped learning paradigm for laboratory course in software engineering to enable student-centered learning. The paradigm consists of three instruction models: the goal-assessment model, the process model, and the course evolutionary model. The goal-assessment model is used to guide and assure the success of the course, following a divide-then-conquer strategy. The process model breakdowns the learning life cycle and arranges them as a spiral process. Finally, the course evolutionary model connects the aforementioned two models together: if there is any unsatisfied subgoal, then the course process model will be renewed in the next cycle or semester. To investigate the effectiveness of the proposed paradigm, we also present our practices in a case study.

Keywords: Flipped Classroom; Education Model; Student-centered Teaching; Software Engineering Education; Laboratory Course (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-29166-6_17

Ordering information: This item can be ordered from
http://www.springer.com/9783319291666

DOI: 10.1007/978-3-319-29166-6_17

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().