Oral Presentation Automated Feedback (OPAF) – deployment and evaluation phase
Educational institutions desire to provide their students with ample opportunity to practice oral communication skills. However, the cost of providing regular feedback is prohibitively high for faculty that are already overworked. Multimodal Systems for Oral Presentation Automated Feedback (OPAF) can be defined as computational systems that capture multimodal information during oral presentations to providing alerts, recommendations or performance reports to presenters to help them develop or improve their oral presentation skills. AUGEMENT-ED was involved in the scaling and evaluation of one of the most successful of these systems (RAP), and is currently designing an open specification to bootstrap the next generation of these systems (OpenOPAF).
Collaboration Literacy Feedback (CLiF) – advance prototype phase
Learning to collaborate requires practice. Due to the importance of collaboration in today’s workplace, higher institutions are increasingly including collaboration opportunities inside and outside the classroom. Students can experience first-hand what is to analyze, solve complex problems, and construct new knowledge with others. Despite this frequent exposure to collaborative activities, the collaboration skills of higher-education students tend to remain low even after obtaining their professional degree. This disconnection between increased exposure and low performance levels could be pedagogically explained by the lack of formative feedback. AUGMENT-ED works in the technological and pedagogical challenge of providing actionable feedback not only to acquire specific collaboration skills, but also to develop the literacy needed to know when to apply them.
Narrative-Based Learning Analytics (NaLA) – Prototype phase
One of the main bias of learning analytics is the use of quantitative reports to provide information to relevant stakeholders. This project explores how different narrative-based approaches, such as comics or prose, could be used to communicate the results of the analysis in a more human, and ultimately, more useful way.
Multimodal Feedback Interfaces (MuFIN) – EARLY IDEATION PHASE
This project reimagine how information could be presented back to students or instructors during the learning process in a way that is not intrusive and useful, and ideally, as part of the process itself.