Understanding and analyzing students frustration level during programming

dc.contributor.author	Kurtiker, P.
dc.contributor.author	Wagh, R.S.
dc.date.accessioned	2017-03-20T04:45:18Z
dc.date.available	2017-03-20T04:45:18Z
dc.date.issued	2016
dc.identifier.citation	Proc. 24. Int. Conf. on Computers in Education, Ed. by: Chen, W. et al. 28 Nov to 2 Dec 2016. IIT Bombay, India. 2016; 7-9.
dc.identifier.uri	http://www.apsce.net/uploaded/filemanager/4e0b62f5-fee7-491e-b8b0-f8f79d3c46a7.pdf#page=12
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/4702
dc.description.abstract	We present our proposed and ongoing approach to detect the frustration among novice Java learners. We use the logs from the worldwide source code repository Blackbox that captures data from BlueJ IDE environment of our learners. We describe some factors which are the cause of frustration to novice programmer and conclude that it is possible to model an individual student level of frustration in laboratory settings using derived factors; and also possible to get an average frustration across all lab sessions. The real-time capturing, analysis and detection of frustration will result in timely intervention by instructors to ensure that learners regain their interest.
dc.publisher	Asia-Pacific Society for Computers in Education
dc.subject	Computer Science and Technology
dc.title	Understanding and analyzing students frustration level during programming
dc.type	Conference article