Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Afonso B. Caniço & André L. Santos (2025). Integrating Questions About Learners’ Code in an Automated Assessment System. In 6th International Computer Programming Education Conference (ICPEC 2025).
Exportar Referência (IEEE) 
A. M. Caniço and A. L. Santos,  "Integrating Questions About Learners’ Code in an Automated Assessment System", in 6th Int. Computer Programming Education Conf. (ICPEC 2025), 2025
Exportar BibTeX 
@inproceedings{caniço2025_1775127479757,
	author = "Afonso B. Caniço and André L. Santos",
	title = "Integrating Questions About Learners’ Code in an Automated Assessment System",
	booktitle = "6th International Computer Programming Education Conference (ICPEC 2025)",
	year = "2025",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.4230/OASIcs.ICPEC.2025.5",
	publisher = "",
	address = "",
	organization = ""
}
Exportar RIS 
TY  - CPAPER
TI  - Integrating Questions About Learners’ Code in an Automated Assessment System
T2  - 6th International Computer Programming Education Conference (ICPEC 2025)
AU  - Afonso B. Caniço
AU  - André L. Santos
PY  - 2025
DO  - 10.4230/OASIcs.ICPEC.2025.5
AB  - Questions about Learners' Code (QLCs) assess programming students' program comprehension skills by providing personalised questions targeting the students' own program code. We conducted a preliminary, experimental implementation of integrating QLCs in the Automated Assessment System (AAS) used in an introductory programming course using Java. QLCs targeted some of the code assignments which students had to complete during the course. We collected 889 answers to QLCs, answered by 13 students over five course modules. We found that as the complexity of exercises increases, the success rate of the same type of QLC may not improve, and even exhibit a decline over time. We further analysed incorrect answers individually to relate them to possible misconceptions.
ER  -