Value trace problems with assisting references for Python programming self-study
San Hay Mar Hay Mar Shwe, Nobuo Funabiki, Yan Watequlis Syaifudin, Phyu Phyu Tar, Htoo Htoo Sandi Kyaw, Hnin Aye Thant, Wen-Chung Kao, Nandar Win Min, Thandar Myint, Ei Ei Htet · International Journal of Web Information Systems · 2021
Purpose This study aims to present the value trace problem (VTP) for Python programming self-study, by extending the works for Java programming learning assistant system. In total, 130 VTP instances are generated using Python codes in textbooks and websites that cover basic/advanced grammar topics, fundamental data structures and algorithms and two common library usages. Besides, assisting references on Python programming topics related to the VTP instances are introduced to assist novice learners in solving them efficiently. Design/methodology/approach PyPLAS offers the VTP to study grammar topics and library usage through code reading. A VTP instance asks a learner to trace the actual values of important variables or output messages in the given source code. The correctness of any answer is checked through string matching. Findings The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners. Originality/value The applications to 48 undergraduate students in Myanmar and Indonesia confirm the validity of the proposal in Python programming self-studies by novice learners.