TY - GEN
T1 - A proposal of recommendation function for solving element fill-in-blank problem in java programming learning assistant system
AU - Funabiki, Nobuo
AU - Matsumoto, Shinpei
AU - Wint, Su Sandy
AU - Kuribayashi, Minoru
AU - Kao, Wen Chun
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - To assist Java programming educations, we have developed a Web-based Java Programming Learning Assistant System (JPLAS) that offers several types of programming exercises to cover different levels of students. Among them, the element fill-in-blank problem (EFP) was designed for novice students to study grammar and basic programming skills through filling in the blank elements in a Java source code. In general, an EFP instance can be generated by selecting an appropriate code in a textbook or a Web site, and applying the blank element selection algorithm to it. Since EFP is expected to involve the Java grammar, plenty of EFP instances have been prepared for JPLAS, where a student may select an EFP instance matching his/her level. In this paper, we propose a recommendation function of selecting a proper EFP instance to be solved next by considering the difficulty levels and grammar topics. We verify the effectiveness of our proposal through applications to 48 students in the Java programing class in Okayama University.
AB - To assist Java programming educations, we have developed a Web-based Java Programming Learning Assistant System (JPLAS) that offers several types of programming exercises to cover different levels of students. Among them, the element fill-in-blank problem (EFP) was designed for novice students to study grammar and basic programming skills through filling in the blank elements in a Java source code. In general, an EFP instance can be generated by selecting an appropriate code in a textbook or a Web site, and applying the blank element selection algorithm to it. Since EFP is expected to involve the Java grammar, plenty of EFP instances have been prepared for JPLAS, where a student may select an EFP instance matching his/her level. In this paper, we propose a recommendation function of selecting a proper EFP instance to be solved next by considering the difficulty levels and grammar topics. We verify the effectiveness of our proposal through applications to 48 students in the Java programing class in Okayama University.
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U2 - 10.1007/978-3-030-29029-0_23
DO - 10.1007/978-3-030-29029-0_23
M3 - Conference contribution
AN - SCOPUS:85071415948
SN - 9783030290283
T3 - Advances in Intelligent Systems and Computing
SP - 247
EP - 257
BT - Advances in Networked-based Information Systems - The 22nd International Conference on Network-Based Information Systems, NBiS 2019
A2 - Barolli, Leonard
A2 - Nishino, Hiroaki
A2 - Enokido, Tomoya
A2 - Takizawa, Makoto
PB - Springer Verlag
T2 - 22nd International Conference on Network-Based Information Systems, NBiS 2019
Y2 - 5 September 2019 through 7 September 2019
ER -