This project is designed as an easy to use device agnostic mobile application. The design embeds a ‘test as you go’ mode where users can ‘pick up and play’ for 1 minute or 1 hour depending on how busy they are. The idea of the application is to enable students to assess their knowledge via challenge based learning approach. Learners are also required to create multiple-choice questions, which peers can answer and rate whether it was a useful and accurate question, or leave a comment to the author of that question promoting reflection and collaborative authorship. Based on a bespoke scoring system, users are awarded points for creating, answering and rating questions. Leader boards show the top scorers and with the ability to follow others, users can easily see how they rank against the competition.
Every learner action in the app gets tallied for their followers to see, and for all users if the learner is high enough on the leader board! Daily scores are multiplied and rewarded for consecutive daily use. Users level up as they increase their experience within the app. This experience then contributes to the scoring algorithm for answering and rating a question. Questions are marked easy, medium and hard based on other users experience in answering them and their experience in the app. The app has been developed to be a substantial yet fully automated system for students to learn in an engaging, fun and competitive framework. A dedicated in-app feature requests user feedback to aid data collection directly from users.
We will present evaluation data with undergraduate medical students and staff utilising technology acceptance model (TAM) and nominal group technique. We will also launch the app freely to all UK higher education institutions during the conference.
Costal, D. S. J., Mullan, B. A., Kothe, E. J., & Butow, P. (2010). A web-based formative assessment tool for Masters students: a pilot study. Computers & Education, 54(4),1248-1253.
Lin, J. W., & Lai, Y. C. (2013). Harnessing collaborative annotations on online formative assessments. Educational Technology & Society, 16(1), 263-274.
Vasilyeva, E., Pechenizkiy, M., & De Bra, P. (2008). Adaptation of elaborated feedback in e-learning. In Adaptive hypermedia and adaptive web-based systems (pp.235-244). Springer Berlin Heidelberg.