Abstract
Providers of learning material have a genuine interest in feedback about their learning resources. For a remote lab, providers like to know how students use the lab environment, which experiments they perform and what results they get from the experiments. This contribution describes an approach to perform learning analytics by recording the user interactions and the behavior of the hardware inside the remote lab.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Peña-Ayala, A.: Learning Analytics: Fundaments, Applications, and Trends, vol. 94. Springer International Publishing, Cham (2017)
Lang, C., Siemens, G., Wise, A., et al.: Handbook of Learning Analytics. Society for Learning Analytics Research (SoLAR). Canada: Society for Learning Analytics Research (2017)
Wuttke, H.D., Hamann, M., Henke, K.: Learning analytics in online remote labs. In: Conference E@I (ed.) 3rd Experiment International Conference: Online Experimentation : June 2nd-4th, 2015, Ponta Delgada, São Miguel Island, Azores, Portugal : exp.at’15, pp. 255–260. IEEE, Piscataway, NJ (2015)
de Brandão, Damasceno, Andr´e Luiz, dos Santos Ribeiro, D., Barbosa, S.D.J.: What the literature and instructors say about the analysis of student interaction logs on virtual learning environments. In: Frontiers in Education 2019: Bridging Education to the Future. IEEE (2019)
Winzker, M., Schwandt, A.: Open education teaching unit for low-power design and FPGA image processing. In: Frontiers in Education 2019: Bridging Education to the Future. IEEE (2019)
Schwandt, A., Winzker, M.: Make it open - improving usability and availability of an FPGA remote lab. In: Ashmawy, A.K., Schreiter, S. (eds.) Proceedings of 2019 IEEE Global Engineering Education Conference (EDUCON) 9–11 April, 2019, Dubai, UAE, pp. 232–236. IEEE, Piscataway, New Jersey (2019)
Intel® Cyclone® Series FPGAS and SoCs-Intel® FPGA: (2018). https://www.intel.de/content/www/de/de/products/programmable/cyclone-series.html. Accessed 01 Nov 2019
WebLab–Deusto: (2019) http://weblab.deusto.es/website/index.html. Accessed 08 Dec 2018
Orduna, P., Almeida, A., Lopez-de-Ipina, D., et al.: Learning analytics on federated remote laboratories: tips and techniques. In: 2014 IEEE Global Engineering Education Conference (EDUCON), pp. 299–305. IEEE (2014)
Schwandt, A., Winzker, M., Abu Shanab, S.: Design of lab exercises for teaching energy-efficient digital design. In: IEEE Global Engineering Education Conference (EDUCON), 2015: 18–20 March 2015, Tallinn University of Technology (TUT), Tallinn, Estonia, pp. 112–117. IEEE, Piscataway, NJ (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Schwandt, A., Winzker, M., Rohde, M. (2021). Utilizing User Activity and System Response for Learning Analytics in a Remote Lab. In: Auer, M., May, D. (eds) Cross Reality and Data Science in Engineering. REV 2020. Advances in Intelligent Systems and Computing, vol 1231. Springer, Cham. https://doi.org/10.1007/978-3-030-52575-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-52575-0_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-52574-3
Online ISBN: 978-3-030-52575-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)