About: Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments

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type	http://eprints.org/ontology/BookSectionEPrint http://eprints.org/ontology/EPrint Article Book Section
seeAlso	HTML Summary of #71265 Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments
sameAs	Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments
http://eprints.org/ontology/hasAccepted	Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (PDF)
http://eprints.org/ontology/hasDocument	Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (PDF) Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (Other) Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (Other) Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (Other) Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (Other) Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (Other)
dc:hasVersion	Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments (PDF)
Title	Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2019-06-20
Creator	Murugappan Murugappan Nithyakalyani Chinnaiah Aruna Duraisingam Palaniappan Ramaswamy
status	peer reviewed published
Publisher	Springer
abstract	Understanding how difficult a learning task is for a person allows teaching material to be appropriately designed to suit the person, especially for programming material. A first step for this would be to predict on the task difficulty level. While this is possible through subjective questionnaire, it could lead to misleading outcome and it would be better to do this by tapping the actual thought process in the brain while the subject is performing the task, which can be done using electroencephalogram. We set out on this objective and show that it is possible to predict easy and difficult levels of mental tasks when subjects are attempting to solve Java programming problems. Using a proposed confidence threshold, we obtained a classification performance of 87.05% thereby showing that it is possible to use brain data to determine the teaching material difficulty level which will be useful in educational environments.
Is Part Of	Financial Cryptography and Data Security https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/71265#authors
presented at	21st International Conference on Human-Computer Interaction
volume	11580
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #71265 Predicting Java Computer Programming Task Difficulty Levels Using EEG for Educational Environments

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