In this talk, we present our interdisciplinary efforts to deploy an activity offered as an educational escape-room usable for corporate capacitation. An escape-room includes a gamified activity requiring participants to cooperatively discover clues and solve riddles positioned in one or more rooms in order to progress and accomplish a specific mission in a limited amount of time. In this respect our efforts consolidate various concerns including those related to the design of educational riddles and clues, their mediation through appealing interfaces. Additionally, we also deploy a comprehensive and technological solution used to implement this educational experience. Consequently, in this presentation we postulate our efforts to design an activity, emerging from authentic requirements, reflecting an interdisciplinary framework of concerns. Thus, consolidating Technology, Pedagogy and Content Knowledge (TPACK) model (Mishra & Koehler, 2006) in the context of an activity offered for team-based training which is technologically enhanced.

As mentioned, our efforts are exercised in the light of TPACK model while aiming on an activity used for team-based training called “escape NAO”. Such experience requires trainees to “save the nation” while solving riddles customizable across domains and levels that are related to corporates’ interest as part of their training programs. There, trainees interact with an humanoid robot (HR) used as a mediator when presenting riddles, clues, and other feedbacks. We also offer participants to use their mobile devices in order to seek for data in the web addressing the riddles. Additionally, they are requested to use their mobile device in order to interact with the HR and verify their answers to the riddles.

In the current activity, we practiced educational design required to be enhanced by a deployed architecture emphasizing on user interface and experience (UI/UX). Specifically, this deployment enables efficient and appealing interactions practiced while users communicate with HR and their mobiles. Specifically, this mobile application offers users a training experience that is adapted to team-based purposes. Additionally, the application is usable in order to interact with the HR while exploiting its capabilities for image recognition. Finally, we introduced IoT devices for encompassing interactions exercised by trainees' organized as team-based.

Consequently, we propose to illustrate the process consisting activity design focused on team-based training that is technologically enhanced as part of our suggestion for an innovative implementation of an educational grid. We conclude this presentation while providing an outlook towards our coming efforts focused on incorporating additional technologies exploited in order to provide an optimized and innovative training. In this respect, we aim to include additional IoT devices usable for sensing various types of conditions addressing the training environment as well as the educational process practiced in it. In addition, we aim to introduce capabilities enhanced by Artificial Intelligence (AI), aspiring to further enhance corporate learning and training girds.