Abstract
There are several educational technologies developed to enforce learning in computing. These tools success have generally been studied through subjective measurement. However, subjective data may be inaccurate due to users not providing exact information. Therefore, validity may be of concern. Human-Computer Interaction (HCI) researchers have recently implementing neurophysiological tools towards their user studies for subjective data support. This paper presents an exploratory user study to implement neurophysiological tools to gather objective data to evaluate the usefulness of educational technologies. A between-subject study was conducted comparing Alice and App Inventor user’s affective engagement levels. The results showed no statistical significant. Lastly, this paper can serve as a short guideline on how to adapt neurophysiological tools towards their user studies.
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This material is based in part upon work supported by the National Science Foundation under Grant Number DGE-1315138 & DUE-1060545. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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Andujar, M., Morreale, P., Jimenez, Y., Jimenez, L., Gilbert, J.E. (2017). Evaluation of User’s Affective Engagement While Interacting with Educational Technologies: A Pilot Study. In: Hale, K., Stanney, K. (eds) Advances in Neuroergonomics and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-41691-5_9
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DOI: https://doi.org/10.1007/978-3-319-41691-5_9
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