Real-Time Inference of Temporal Emotional and Behavioral Conditions of Learners in Problem Solving Within Mixed Reality Environments

Author:

Castets Édouard,Mutis IvanORCID,Agam Gady

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Jonassen DH (2011) Learning to solve problems: a handbook for designing problem-solving learning environments. Routledge

2. Mutis I, Antonenko P (2022) Unmanned aerial vehicles as educational technology systems in construction engineering education. J Inf Technol Constr 27:273–289. https://doi.org/10.36680/j.itcon.2022.014

3. Antonenko P, Mutis I (2017) Using unmanned aerial systems to bring STEM field experiences to the classroom. presented at the national association for research in science teaching (NARST), San Antonio, TX. http://www.narst.org/annualconference/2017conference.cfm

4. Antonenko PD, Mutis I (2017) Empowering learning through remote visualizations using unmanned aerial systems: perspectives of education and industry experts. presented at the 2017 American educational research association, San Antonio, TX. http://www.aera.net/Publications.

5. Mutis I, Issa RA (2014) Enhancing spatial and temporal cognitive ability in construction education through augmented reality and artificial visualizations. In: Issa R, Flood I (eds) The international conference for computing in civil and building engineering (ICCCBE) and CIB-W78, 2014, Orlando, FL. ASCE, p 8

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