ASPA : a static analyser to support learning and continuous feedback on programming courses : an empirical validation |
|
Author: | Luukkainen, Roope1; Kasurinen, Jussi1; Nikula, Uolevi1; |
Organizations: |
1LUT University, Lappeenranta, Finland 2University of Oulu, Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 1 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2023032733319 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
|
Publish Date: | 2023-03-27 |
Description: |
AbstractFor decades there have been arguments how to teach programming in the basic courses. Supportive intervention methods to improve students’ learning and methods to improve assessment process have been widely studied. There are various successful methods to each topic separately, but only a few of them fit for both. In this work, we aimed at validating ASPA a static analyser tool that supports learning and continuous feedback on programming courses. For this purpose, we designed and conduct an empirical study among 236 students enrolled in the basic programming course, that voluntary adopted the tools during the project development activities. We first profiled the students, then, evaluated the attitude toward using ASPA, the perceived ease of use, and the perceived usefulness. Results showed that ASPA is a good helper for the entire course and especially the student’s programming assignments, and it also helps to improve the students’ grades. see all
|
ISBN: | 978-1-6654-9592-9 |
Pages: | 29 - 39 |
DOI: | 10.1145/3510456.3514149 |
OADOI: | https://oadoi.org/10.1145/3510456.3514149 |
Host publication: |
2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET), 22-24 May 2022 Pittsburgh, PA, USA |
Conference: |
International Conference on Software Engineering: Software Engineering Education and Training |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Copyright information: |
© Owner/Author 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in 44nd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET ’22), http://dx.doi.org/10.1145/3510456.3514149. |