TY - GEN
T1 - Analysis of Classroom Test Results for an Error-Based Problem Presentation System for Mechanics
AU - Aikawa, Nonoka
AU - Maeda, Shintaro
AU - Mogi, Tomohiro
AU - Koike, Kento
AU - Tomoto, Takahito
AU - Imai, Isao
AU - Horiguchi, Tomoya
AU - Hirashima, Tsukasa
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - It is possible in learning for an impasse to occur during a learner’s trial-and-error process. This is a situation in which a learner cannot make progress in solving a problem because they cannot properly correct an error. In this study, we developed a learning support system for mechanics that helps learners overcome impasses by presenting auxiliary problems based on their errors. This system was implemented in a class of 86 third-year middle school students. To evaluate the problem graph implemented in the system, we analyzed the results of a test that dealt with drafting problems based on the strength of each entry in the results of the class practice. We found that this system was effective for learning gravity, normal force, the net force exerted by external forces, and frictional force from the ground. However, there were problems in learning frictional forces among objects themselves and forces propagating to other objects.
AB - It is possible in learning for an impasse to occur during a learner’s trial-and-error process. This is a situation in which a learner cannot make progress in solving a problem because they cannot properly correct an error. In this study, we developed a learning support system for mechanics that helps learners overcome impasses by presenting auxiliary problems based on their errors. This system was implemented in a class of 86 third-year middle school students. To evaluate the problem graph implemented in the system, we analyzed the results of a test that dealt with drafting problems based on the strength of each entry in the results of the class practice. We found that this system was effective for learning gravity, normal force, the net force exerted by external forces, and frictional force from the ground. However, there were problems in learning frictional forces among objects themselves and forces propagating to other objects.
KW - Auxiliary problem
KW - Error-based Simulation
KW - Practice use
UR - http://www.scopus.com/inward/record.url?scp=85173036889&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-35129-7_15
DO - 10.1007/978-3-031-35129-7_15
M3 - Conference contribution
AN - SCOPUS:85173036889
SN - 9783031351280
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 213
EP - 224
BT - Human Interface and the Management of Information - Thematic Area, HIMI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
A2 - Mori, Hirohiko
A2 - Asahi, Yumi
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Human Interface and the Management of Information, HIMI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Y2 - 23 July 2023 through 28 July 2023
ER -