JUCS - Journal of Universal Computer Science 20(1): 24-38, doi: 10.3217/jucs-020-01-0024
Adapting an Awareness Tool for Massive Courses: the Case of ClassON
Israel Gutiérrez-Rojas‡, Raquel M. Crespo-García‡, Carlos Delgado-Kloos‡‡ Universidad Carlos III de Madrid, Madrid, Spain
Corresponding author: Israel Gutiérrez-Rojas ( igutierrez@inv.it.uc3m.es ) © Israel Gutiérrez-Rojas, Raquel Crespo-García, Carlos Delgado-Kloos. This article is freely available under the J.UCS Open Content License. Citation:
Gutiérrez-Rojas I, Crespo-García RM, Delgado-Kloos C (2014) Adapting an Awareness Tool for Massive Courses: the Case of ClassON. JUCS - Journal of Universal Computer Science 20(1): 24-38. https://doi.org/10.3217/jucs-020-01-0024 |  |
Abstract
In this paper we analyse the challenges posed to teachers and students in massive face-to-face classes and explore how existing solutions can be applied to these contexts. In particular, we focus on classON1, a tool that provides teachers and students with the appropriate information to make the most out of face-to-face sessions in the computer lab. classON has been well tested in small-medium face-to-face lab sessions and we discuss some of its characteristics (current ones and foreseen) to adapt it to massive courses. As a result, we provide a set of recommendations for adapting tools to support massive face-to-face learning activities.
Keywords
teacher awareness, massive learning environments, face-to-face teaching, just-in-time teaching, scalability, active learning