Fine-grained detection of programming students’ frustration using keystrokes, mouse clicks and interaction logs

• Main Author: FWA, Hua Leong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Learning; Frustration; Detect; Keystrokes; Programming; Databases and Information Systems; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/6928; https://ink.library.smu.edu.sg/context/sis_research/article/7931/viewcontent/JSS_2016092110364867.pdf
• Institution: Singapore Management University

Prolonged frustration leads to loss of confidence and eventual disinterest in the learning itself. The modelling of frustration in learning is thus important as it informs on the appropriate time to intervene to sustain the interest and motivation of students. To automatically detect learner’s frust...