{"data":{"id":"10.4121/4b297e40-6a23-4a57-8eeb-7f15dd8d2dc4","type":"dois","attributes":{"doi":"10.4121/4b297e40-6a23-4a57-8eeb-7f15dd8d2dc4","prefix":"10.4121","suffix":"4b297e40-6a23-4a57-8eeb-7f15dd8d2dc4","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Lal, Sharanya","nameType":"Personal","givenName":"Sharanya","familyName":"Lal","nameIdentifiers":[{"nameIdentifier":"0000-0002-6228-8850","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]}],"titles":[{"title":"Data and Scripts: Skin conductance, eye-movements, task performance, and self-reported emotions \u0026amp; mind wandering collected during a creative computing lesson"}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2026,"subjects":[{"subject":"Psychology","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"1701"},{"subject":"FOS: Psychology","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Learner and Learning","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"9301"},{"subject":"Other Education","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"1399"},{"subject":"FOS: Educational sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Education and Training","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"93"},{"subject":"Psychology and Cognitive Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"17"},{"subject":"Education","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"13"},{"subject":"skin conductance"},{"subject":"wearables"},{"subject":"eye-tracking"},{"subject":"emotions"},{"subject":"mind wandering"},{"subject":"learners"},{"subject":"education"}],"contributors":[{"name":"University of Twente, Faculty of Behavioural, Management and Social Sciences, Department of Learning, Data-Analytics and Technology","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2026-06-18","dateType":"Issued"}],"language":"en","types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/4b297e40-6a23-4a57-8eeb-7f15dd8d2dc4.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":["zip folder containing .csv, .R, .odt, and .pdf files"],"version":"1","rightsList":[{"rights":"Creative Commons Attribution Non Commercial 4.0 International","rightsUri":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-nc-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This data was collected as part of S. Lal’s PhD thesis work. Data was collected with undergraduate students during a lab-based creative computing lesson (approx 90 min long) at the University of Twente. Emotions were collected using the self-reporting tool Affect Grid (Russell et al., 1989). Mind Wandering data were collected using a thought probe, “Just then, was your attention on the task?”, to which respondents answered with a Yes or No. Self-reports were collected every five minutes. Actual Task Performance was collected using a scoring rubric. Skin conductance and heart rate were collected using the Shimmer3 GSR+. Gaze data were collected using a standard screen-based eye tracker, Tobii Fusion Pro. All signals were pre-processed using iMotions' R notebooks. Processed datasets, tools used and scripts used are made available.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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