ERIC Number: EJ1168677
Record Type: Journal
Publication Date: 2018-Feb
Abstractor: As Provided
Enhancing the Student Learning Experience in Software Engineering Project Courses
Marques, Maira; Ochoa, Sergio F.; Bastarrica, Maria Cecilia; Gutierrez, Francisco J.
IEEE Transactions on Education, v61 n1 p63-73 Feb 2018
Carrying out real-world software projects in their academic studies helps students to understand what they will face in industry, and to experience first-hand the challenges involved when working collaboratively. Most of the instructional strategies used to help students take advantage of these activities focus on supporting agile programming, which is appropriate for capstone courses. This is not always recommended in initial software engineering project courses, however, where novice developers run projects in teams while simultaneously taking other courses. To enhance the learning and teamwork experience in this latter instructional scenario, this paper proposes a formative monitoring method, reflexive weekly monitoring (RWM), for use in project courses that involve disciplined software processes and loosely coupled work. RWM uses self-reflection and collaborative learning practices to help students be aware of their individual and team performance. RWM was applied in a case study over nine consecutive semesters. The results obtained indicate that RWM was effective in enhancing the learning experience in the instructional scenario studied. While students in the monitored teams were more effective and coordinated, and experienced a higher sense of team belonging and satisfaction, little evidence was found of them being more productive than students working in non-monitored teams.
Descriptors: Engineering Education, Computer Software, Cooperative Learning, Metacognition, Case Studies, Learning Experience, Student Projects, Industry, Work Environment, Teaching Methods, Programming, Teamwork, Learning Processes, Active Learning, Student Attitudes, Undergraduate Students, Computer Science Education, Foreign Countries, Statistical Analysis, Control Groups, Experimental Groups, Comparative Analysis, Instructional Effectiveness
Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=13
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Authoring Institution: N/A
Identifiers - Location: Chile
Grant or Contract Numbers: N/A