TY - GEN
T1 - Recommendation System Providing Similar Problems Instead ofw Model Answers to Programming Assignments
AU - Yoshimura, Ryoya
AU - Sakamoto, Kazunori
AU - Washizaki, Hironori
AU - Fukazawa, Yoshiaki
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Online judges are often used in programming education for beginners. Although they help improve coding skills, students may not obtain sufficient educational effects with much assignment difficulty. Instead of presenting a model answer to an assignment, we propose an approach to provide students contents of problems and answer source code similar to the assignment. We implemented the approach as a system and conducted an intervention experiment in a university lecture course to evaluate its effectiveness. There was a statistically significant improvement in the number of correct answers compared to the same course in another year without the proposed system. Therefore, it is suggested that the proposed approach can aid in the understanding of an assignment and improve the educational effect.
AB - Online judges are often used in programming education for beginners. Although they help improve coding skills, students may not obtain sufficient educational effects with much assignment difficulty. Instead of presenting a model answer to an assignment, we propose an approach to provide students contents of problems and answer source code similar to the assignment. We implemented the approach as a system and conducted an intervention experiment in a university lecture course to evaluate its effectiveness. There was a statistically significant improvement in the number of correct answers compared to the same course in another year without the proposed system. Therefore, it is suggested that the proposed approach can aid in the understanding of an assignment and improve the educational effect.
KW - online judge
KW - programming assignment
KW - similar problem
UR - http://www.scopus.com/inward/record.url?scp=85136125115&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85136125115&partnerID=8YFLogxK
U2 - 10.1109/ECEI53102.2022.9829432
DO - 10.1109/ECEI53102.2022.9829432
M3 - Conference contribution
AN - SCOPUS:85136125115
T3 - 5th IEEE Eurasian Conference on Educational Innovation 2022, ECEI 2022
SP - 229
EP - 232
BT - 5th IEEE Eurasian Conference on Educational Innovation 2022, ECEI 2022
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Eurasian Conference on Educational Innovation, ECEI 2022
Y2 - 10 February 2022 through 12 February 2022
ER -