SensoMot | Sensory detection of motivation indicators
Sensory detection of motivation indicators using wearables for adaptive control of learning content of a digital knowledge platform.
Aim of the project SensoMot is to identify critical motivational states with the help of sensor data. By deriving suitable adaptation mechanisms, the learning process is to be controlled in such a way that it corresponds to the motivation of the learners. Learning blockages are to be detected at an early stage with the help of unobtrusive, non-reactive sensors and the learning content adapted accordingly. The benefits that learners derive from the system should be efficient and deep processing of the learning content, long retention, as well as learning enjoyment and sustained interest.
With the help of wearables, in the sense of fitness bracelets or smartwatches, physiological data of the learners is collected, which allows conclusions to be drawn about psychological parameters such as stress or motivation. The algorithm of the learning software performs various adaptations based on this data collection. For example, the learning form or the presentation of the learning content can be adapted. Corresponding learning scenarios are being prototypically developed and evaluated for university teaching using the example of "nanotechnology" and for professional distance learning in technician training in "mechanical engineering".
Project processing at the Media Production Group
"User-centered design of an adaptive knowledge space for micromechatronics"
Multi-stage evaluation concept for the implementation of adaptations in an e-learning platform on the topic of micro- and nanotechnology
Investigation of the change in students' motivation to learn while working with the (non-adaptive) e-learning platform by means of a laboratory study with the aim of identifying critical motivational events, evaluation of the instructional design of the e-learning platform from a motivational point of view.
User-centered requirements elicitation for the implementation of adaptation by means of focus groups, prototypical implementation of different adaptive navigation support techniques and comparative evaluation in an experimental research setting
Investigation of the change in students' motivation to learn when working with the final adaptive version of the e-learning platform by means of a laboratory study, evaluation of the usability and user experience of the e-learning platform
Duration: April 01, 2016 to June 30, 2019
Project funding: Bundesministerium für Bildung und Forschung
Project partners: Nagarro GmbH, München Deutsches Institut für internationale pädagogische Forschung (DIPF), Frankfurt am Main Fernlehrinstitut Dr. Robert Eckert GmbH, Regenstauf Medical School Hamburg (MSH), Leuphana Universität Lüneburg