Exploring the Value of Student Self-Evaluation in Introductory Programming

被引:13
作者
Duran, Rodrigo [1 ]
Rybicki, Jan-Mikael [1 ]
Sorva, Juha [1 ]
Hellas, Arto [2 ]
机构
[1] Aalto Univ, Espoo, Finland
[2] Univ Helsinki, Helsinki, Finland
来源
ICER '19 - PROCEEDINGS OF THE 2019 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH | 2019年
关键词
Self-evaluation; assessment; CS1; introductory programming; EFFICACY; EXPERIENCE; SUCCESS;
D O I
10.1145/3291279.3339407
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Programming teachers have a strong need for easy-to-use instruments that provide reliable and pedagogically useful insights into student learning. Currently, no validated tools exist for rapidly assessing student understanding of basic programming knowledge. Concept inventories and the SCS1 questionnaire can offer great benefits; this article explores the additional value that may be gained from relatively simple self-evaluation metrics. We apply a lightweight self-evaluation instrument (SEI) in an introductory programming course and compare the results to existing performance measures, such as examination grades and the SCS1. We find that the SEI has a similar correlation with a program-writing examination as the SCS1 does, although both instruments correlate only moderately with the examination and each other. Furthermore, students are much more likely to voluntarily answer the lightweight SEI than SCS1. Overall, our results suggest that both the SEI and other instruments need to be greatly improved and outline future work towards that end.
引用
收藏
页码:121 / 130
页数:10
相关论文
共 60 条
[1]  
Alaoutinen S, 2010, ITICSE 2010: PROCEEDINGS OF THE 2010 ACM SIGCSE ANNUAL CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, P155
[2]  
Anderson L., 2009, TAXONOMY LEARNING TE
[3]  
[Anonymous], 2004, PPIG
[4]  
[Anonymous], 2008, P 4 INT WORKSH COMP, DOI DOI 10.1145/1404520.1404531
[5]  
[Anonymous], 2014, P 2014 C INNOVATION
[6]  
[Anonymous], 2015, P 11 ANN INT C INT C
[7]  
[Anonymous], 2014, P 10 ANN C INT COMPU
[8]  
[Anonymous], 2015, Ph. D. Dissertation
[9]  
[Anonymous], 1988, Statistical Power Analysis for the Behavioral Sciences
[10]  
[Anonymous], B APPL COMPUTING INF