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Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
Seckel, María José; Vásquez, Claudia; Samuel, Marjorie; Breda, Adriana – Education and Information Technologies, 2022
Computational thinking in the educational environment has awaken a rising interest, having been included as part of the curricula from the very beginnings of education. Programmable robots have become a valuable positive resource in order to succeed in the development of computational thinking, demanding proper training from kindergarten teachers…
Descriptors: Error Patterns, Programming, Ownership, Robotics
Chin, Huan; Chew, Cheng Meng – Education and Information Technologies, 2022
Solving word problems involving 'Time' is an important skill but poor mastery of the skill among elementary students has often been reported in the literature. In addition, the available diagnostic tools in the literature might be less efficient for identifying the various errors made by many students in solving word problems. Thus, an online…
Descriptors: Cognitive Tests, Diagnostic Tests, Problem Solving, Word Problems (Mathematics)