Characterizing Software Engineering Students’ Discussions during Peer Instruction: Opportunities for Learning and Implications for Teaching
Artikel i vetenskaplig tidskrift, 2016

Peer instruction is a method for activating students during lectures, which has gained a considerable amount of attention in higher education due to claims of dramatic improvement in learning gains. The purpose of this qualitative research study is to investigate what types of discussions engineering students engage in during a peer instruction session and what learning possibilities that are enabled by these different types of discussions. We observed twelve students during six separate and simulated peer instruction sessions and the students were interviewed individually after the sessions. An analysis of the data revealed that the students engaged in three qualitatively different types of discussions: affirmative discussions, motivating discussions, and argumentative discussions. We characterize these different types of discussions in terms of the number of alternative answers the students discuss, the extent to which they draw on prior knowledge and experiences, as well as the fundamental difference between an explanation and an argument. A good opportunity for learning is opened up when students are aspiring to find the truth, not simply being satisfied with what they believe to be true. We conclude that students do not always engage in discussions that support their learning in the best way, and we discuss implications for using peer instruction as a teaching method.

UML diagrams

learning possibilities

software designs

peer instruction

argumentation

Författare

Tom Adawi

Chalmers, Tillämpad informationsteknologi, Avdelningen för ingenjörsutbildningsvetenskap (EER)

Håkan Burden

IT-forskningsinstitutet Viktoria

Dennis Olsson

Göteborgs universitet

Rickard Mattiasson

Göteborgs universitet

International Journal of Engineering Education

0949-149X (ISSN)

Vol. 32 2(B) 1-10

Ämneskategorier

Didaktik

Pedagogiskt arbete

Systemvetenskap

Mer information

Senast uppdaterat

2018-11-15