基於資料探勘之程式設計迷思概念診斷

The Diagnosis of Programming Misconceptions Based on Data Mining

陳思如(Chen Si-Ru)

指導教授 ： 林育慈

國立臺灣師範大學/教育學院/資訊教育研究所/碩士(2019年)

https://doi.org/10.6345/NTNU201900349

摘要

無資料

關鍵字

迷思概念診斷 ； 程式設計教學 ； 資料探勘

並列摘要

無資料

並列關鍵字

Misconception diagnosis ； Programming teaching ； Data exploration

參考文獻

Altadmri, A., &Brown, N. C. C. (2015). 37 Million Compilations. In Proceedings of the 46th ACM Technical Symposium on Computer Science Education - SIGCSE ’15 (pp. 522–527). New York, New York, USA: ACM Press. https://doi.org/10.1145/2676723.2677258

Bayman, P., &Mayer, R. E. (1983). A diagnosis of beginning programmers’ misconceptions of BASIC programming statements. Communications of the ACM, 26(9), 677–679. https://doi.org/10.1145/358172.358408

Bonar, J., &Soloway, E. (1985). Preprogramming Knowledge: A Major Source of Misconceptions in Novice Programmers. Human–Computer Interaction, 1(2), 133–161. https://doi.org/10.1207/s15327051hci0102_3

Britos, P., Rey, E. J., Rodriguez, D., &Garcia-Martinez, R. (2008). Work in progress - programming misunderstandings discovering process based on intelligent data mining tools. In 2008 38th Annual Frontiers in Education Conference (p. F4H–1–F4H–2). IEEE. https://doi.org/10.1109/FIE.2008.4720499

Chakrabarti, S., Ester, M., Fayyad, U., Gehrke, J., Han, J., Morishita, S., …Wang, W. (2006). Data Mining Curriculum: A Proposal (Version 1.0) Intensive Working Group of ACM SIGKDD Curriculum Committee. Retrieved from http://www.kdd.org/exploration_files/CURMay06.pdf