Profiling sympathetic arousal in a physics course: How active are students?

Journal of Computer Assisted Learning - Tập 34 Số 4 - Trang 397-408 - 2018
Héctor J. Pijeira‐Díaz1, Hendrik Drachsler2,3,4, Paul A. Kirschner1,4, Sanna Järvelä1
1Faculty of Education, University of Oulu, Finland
2German Institute for International Educational Research (DIPF), Germany
3Goethe University Frankfurt, Germany
4Welten Institute, Open University of the Netherlands, Netherlands

Tóm tắt

AbstractLow arousal states (especially boredom) have been shown to be more deleterious to learning than high arousal states, though the latter have received much more attention (e.g., test anxiety, confusion, and frustration). Aiming at profiling arousal in the classroom (how active students are) and examining how activation levels relate to achievement, we studied sympathetic arousal during two runs of an elective advanced physics course in a real classroom setting, including the course exam. Participants were high school students (N = 24) who were randomly selected from the course population. Arousal was indexed from electrodermal activity, measured unobtrusively via the Empatica E4 wristband. Low arousal was the level with the highest incidence (60% of the lesson on average) and longest persistence, lasting on average three times longer than medium arousal and two times longer than high arousal level occurrences. During the course exam, arousal was positively and highly correlated (r = .66) with achievement as measured by the students' grades. Implications for a need to focus more on addressing low arousal states in learning are discussed, together with potential applications for biofeedback, teacher intervention, and instructional design.

Từ khóa


Tài liệu tham khảo

10.1176/appi.books.9780890423349

10.1007/s10484-017-9367-z

Arroyo I., 2009, Proceedings of the conference on artificial intelligence in education, 17

10.1016/j.ijhcs.2009.12.003

10.1037/0003-066X.37.2.122

10.1016/j.jneumeth.2010.04.028

10.1111/j.1469-8986.2009.00972.x

10.1146/annurev-psych-113011-143823

10.1111/j.1464-0597.2005.00205.x

10.1207/s15326985ep4101_5

Bosch N. D'Mello S. Hall F. Baker R. S. Shute V. &Wang L.(2015).Automatic detection of learning‐centered affective states in the wild. In Proceedings of the 2015 international conference on intelligent user interfaces (IUI 2015) (pp.379–388).New York NY:ACM.https://doi.org/10.1145/2678025.2701397

10.1007/978-1-4614-1126-0

Braithwaite J. J., 2013, A guide for analysing electrodermal activity (EDA) & skin conductance responses (SCRs) for psychological experiments, Psychophysiology, 49, 1017

Calderón O., 2016, Oximetry: A reflective tool for the detection of physiological expression of emotions in a science education classroom, Cultural Studies of Science Education, 1

10.1561/1100000065

10.1177/107385840200800209

10.1016/B978-0-444-53491-0.00006-7

Damasio A. R., 1991, Frontal lobe function and dysfunction

Dawson M. E., 2017, Handbook of psychophysiology, 217

10.1016/j.biopsych.2012.01.032

10.1145/3027385.3027447

Edelberg R., 1967, Methods in psychophysiology, 1

Empatica Inc. (2015).Recommended tools for signal processing and data analysis. Retrieved March 1 2018 from https://support.empatica.com/hc/en‐us/articles/202872739‐Recommended‐tools‐for‐signal‐processing‐and‐data‐analysis

10.1037/0096-3445.130.4.681

10.4108/icst.mobihealth.2014.257418

Garfinkel S. N., 2017, Handbook of psychophysiology, 427

10.1177/0004944116650701

10.1145/3130917

10.1177/0959354304044918

10.1037/h0041823

Järvelä S. Malmberg J. Haataja E. Sobocinski M. &Kirschner P. A.(2018).What multimodal data can tell us about the students' regulation of their learning process?Manuscript submitted for publication.

10.1007/978-3-319-66610-5_7

10.1145/3170358.3170421

10.1016/j.cogsys.2017.06.002

10.1016/j.biopsycho.2010.03.010

10.3389/fnbeh.2016.00198

10.1111/j.1469-8986.1970.tb01755.x

10.1177/1088868316628405

10.1207/S15326985EP3702_4

10.1109/TBME.2009.2038487

10.1037/0033-2909.94.2.239

10.1037/h0077714

10.1086/209175

10.1017/CBO9781139519526.025

10.1037/h0046234

10.1037/0022-3514.64.6.1010

10.3390/s150204097

10.1109/TLT.2016.2599522

Sottilare R. A., 2017, Proceedings of the international defense and homeland security simulation workshop, 42

10.1016/S0306-4530(97)00040-1

10.1007/11573548_90

10.3390/jsan1030217

10.1016/B978-012109890-2/50045-7

10.1002/cne.920180503