feedback Archives - EduTec Science

Oct92024 by Daniele Di MitriNo Comments

Exploring Complexity in Human Learning at the Johanna Quandt Young Academy School

On Monday, 7th October 2024, Dr. Daniele Di Mitri had the pleasure of presenting at the Johanna Quandt Young Academy School, held at the Forschungskolleg Humanwissenschaften in Bad Homburg. This event was a fantastic opportunity to delve into the intricate topic of "Complexity in Human Learning" alongside Dr. Elena Galeano Weber. Dr. Di Mitri's segment of the presentation focused on "Supporting Learning with AI through Feedback." He explored the multifaceted nature of complexity in human learning and discussed the critical aspects to consider when designing meaningful AI-automated feedback. The goal was to highlight how AI can be leveraged to enhance learning experiences by providing timely and relevant feedback, thus supporting learners in navigating complex educational landscapes. Understanding complexity in human learning is crucial for developing effective educational tools and strategies.…

Jun102024 by Joshua WeidlichNo Comments

New Pub: Emotional and motivational effects of automated and personalized feedback

With increasingly large student numbers, providing personalized teacher feedback becomes untenable. On the other hand, providing students feedback about their work is an integral part of ensuring student support throughout their learning trajectory. Fortunately, Learning Analytics now makes it feasible to automatically deploy feedback to many students at once. However, the design of effective feedback still remains an area of investigation Joshua Weidlich, Aron Fink, Ioana Jivet, Jane Yau, Tornike Giorgashvili, Hendrik Drachsler, and Andreas Frey's recently published paper in the Journal of Computer-Assisted Learning focused on one key design feature: the reference frame. Any feedback content must be formulated in reference to some performance level, be it the average of the student group (social comparison), the desired performance level (criterion-referenced comparison), or past performance. A longstanding literature on this…

Jun272023 by Daniele Di MitriNo Comments

Artificial Intelligence Systems for Feedback Generation at JTEL’23

Summer School, Workshop

How Can AI Help To Learn Better? A Recap of the Workshop on Feedback Generation At jTEL Summer School 2023 in La Manga, Spain, we hosted the "Artificial Intelligence Systems for Feedback Generation" workshop. The workshop was attended by a diverse group of participants who are young researchers in Technology Enhanced learning and interested in how artificial intelligence (AI) can enhance their learning experience. The workshop was led by Daniele Di Mitri, Jan Schneider, Roland Klemke and Bibeg Limbu, all experts in AI in education who shared their insights and experiences with us. What is AI in education? AI in education (AIED) is a research field that explores how to use AI techniques and technologies to support learners with individualized feedback, guidance, and processes. AIED can help learners achieve learning…

Oct102022 by Daniele Di MitriNo Comments

New Pub: Multimodal Learning Experience for Deliberate Practice

Book chapter

A new book chapter has been published as part of the Multimodal Learning Analytics Handbook edited by Springer. While digital education technologies have improved to make educational resources more available, the modes of interaction they implement remain largely unnatural for the learner. Modern sensor-enabled computer systems allow extending human-computer interfaces for multimodal communication. Advances in Artificial Intelligence allow interpreting the data collected from multimodal and multi-sensor devices. These insights can be used to support deliberate practice with personalised feedback and adaptation through Multimodal Learning Experiences (MLX). This chapter elaborates on the approaches, architectures, and methodologies in five different use cases that use multimodal learning analytics applications for deliberate practice. Di Mitri, D., Schneider, J., Limbu, B., Mat Sanusi, K.A., Klemke, R. (2022). Multimodal Learning Experience for Deliberate Practice. In: Giannakos,…