eprintid: 8940
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/89/40
datestamp: 2023-11-09 16:20:52
lastmod: 2023-11-09 16:20:52
status_changed: 2023-11-09 16:13:54
type: conference_item
metadata_visibility: show
creators_name: Babiker, A.
creators_name: Faye, I.
creators_name: Malik, A.
title: Investigation of situational interest effects on learning using physiological sensors: Preliminary result
ispublished: pub
keywords: Brain; Students; Surveys, Academic performance; Classroom environment; Emotion recognition; Learning process; Personal Interest questionnaire; Physiological sensors; situational interest; Study Interest questionnaire, Physiology
note: cited By 1; Conference of 6th International Conference on Intelligent and Advanced Systems, ICIAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125970
abstract: Recently, extensive attention is given to researches that develop educational outcome by raising student's interest. There are two types of interest, one of them is situational interest that depends on the situation and time. It has been identified as a vital motivational element in developing students' academic performances. The purpose of this research is to present a novel approach to detect the distinct patterns of situational interest while resembling classroom environment using physiological sensors, particularly EEG signals. Personal Interest (PI) test, Study Interest (SI) test and knowledge tests are used to evaluate subjectively student's interest. Objective data obtained using Emotive EPOC supports subjective result and shows that brain activities in frontal and left hemisphere can be associated with situational interest during learning process. © 2016 IEEE.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011999788&doi=10.1109%2fICIAS.2016.7824075&partnerID=40&md5=0f999a3ff586ed70dfb34cca190fafbb
id_number: 10.1109/ICIAS.2016.7824075
full_text_status: none
publication: International Conference on Intelligent and Advanced Systems, ICIAS 2016
refereed: TRUE
isbn: 9781509008452
citation:   Babiker, A. and Faye, I. and Malik, A.  (2017) Investigation of situational interest effects on learning using physiological sensors: Preliminary result.  In: UNSPECIFIED.