A4 Conference proceedings

Classifying the nature of lecturer intervention on computer science student behaviour


Publication Details

Authors: Falkner Nickolas, Szabo Claudia, Knutas Antti

Publication year: 2017

Language: English

Title of parent publication: Proceedings of the 17th Koli Calling Conference on Computing Education Research

Start page: 128

End page: 132

Number of pages: 5

ISBN: 978-1-4503-5301-4

JUFO level of this publication: 1

Digital Object Identifier (DOI): http://dx.doi.org/10.1145/3141880.3141896

Permanent website address: https://dl.acm.org/citation.cfm?doid=3141880.3141896

Open Access: Not an Open Access publication


Abstract

A key challenge for computer science educators is providing effective support and feedback to students, to ensure they are engaged with the course. Due to the significant problems of scale that need to be addressed, effective lecturer intervention is difficult, and at the same time the effect of intervention is challenging to measure accurately. In this short paper, we report on the outcomes of a systematic literature review focused on interventions in Computer Science classrooms. To provide an understanding of the types of interventions possible in a Computer Science course, we propose a taxonomy of intervention types with low mutual information and classify the 130 selected papers based on it. We present an analysis of the co-occurrence of some intervention types and the evolution of intervention type popularity over the years.


Last updated on 2018-19-10 at 07:55