Daniele Di Mitri – EduTec Science

Nov212022 by Daniele Di MitriNo Comments

New CfP: Multimodal and Immersive Systems for Skills Development and Education (BJET)

Special Issue

Call for Papers: Multimodal and Immersive Systems for Skills Development and Education Guest editor(s): Daniele Di Mitri, DIPF, Germany Bibeg Limbu, TU Delft, The Netherlands Jan Schneider, DIPF, Germany Deniz Iren, Open University, The Netherlands Michail Giannakos, NTNU, Norway Daniel Spikol, University of Copenhagen, Denmark Roland Klemke, Open University, The Netherlands Rationale for publications During the last decade, we have seen an enormous penetration of multimodal and immersive systems such as virtual, augmented reality and motion-based systems. Such systems, along with rapidly evolving technological affordances (e.g., multimodal interaction, tactile feedback) powered by Artificial Intelligence (AI) and sensors, are attempting to redefine how we interact and learn with technology. This attempt has long-term implications for human-computer interaction and technology-enhanced learning, enabling new forms of personalised, contextual, and deliberate practice of skills…

Nov82022 by Daniele Di MitriNo Comments

New CfP: CROSSMMLA @ LAK 2023 Workshop

Multimodal Learning Analytics, Workshop

Call for Papers: CROSSMMLA @ LAK 2023 Workshop: Leveraging Multimodal Data for Generating Meaningful Feedback To be held face-to-face on March 13, 2023, in Arlington, Texas, United States, in conjunction with the LAK 2023 conference. The CROSSMMLA workshop series has focused on collecting and analysing multimodal data across the physical and virtual spaces for understanding and optimising learning processes. (more…)

Nov72022 by Daniele Di MitriNo Comments

New Pub: special issue “From Sensor Data to Educational Insights”

Special Issue

We are delighted to announce an editorial of the MDPI Sensors special issue "From Sensor Data to Educational Insights" published in Open Access written by José A. Ruipérez-Valiente, Roberto Martínez-Maldonado, Daniele Di Mitri Jan Schneider. The editorial introduces 12 novel scientific articles in the field of educational sensors. The full special issue can be found on the MDPI website.

Nov22022 by Daniele Di MitriNo Comments

Nina and Stefan join the team

Team

We are glad to announce that two new team members have joined the EduTec team as PhD candidates. A warm welcome to Nina Mouhammad and Stefan Hummel! Nina and Stefan will work with Daniele Di Mitri on the HyTea project (Model for Hybrid Teaching). Nina will focus on data-driven approaches to include the human expert in the automated feedback loop, investigating the concept of "value alignment" in education. Stefan will focus on multimodal system architecture that will support the HyTea prototypes.

Oct302022 by Daniele Di MitriNo Comments

Lebiniz Leadership Academy

Academy

The German Leibniz Association, the network of German research institutes that includes DIPF, now has its new Leadership Academy, a training course entitled "Leadership Development" for early-stage junior research leaders in one of the Leibniz institutes with a maximum of two years of experience in leadership positions. This programme is aimed at junior research group leaders looking for further personal development and guidance in their day-to-day leadership roles. Daniele Di Mitri has been selected on behalf of DIPF to participate in this training course. The course consists of four presence modules about "self-leadership" and "leading people". The first event took place from the 11th to the 13th of October in Berlin, the second will occur in January 2023. For more info about the course, check the Leibniz website.

Oct102022 by Daniele Di MitriNo Comments

New Pub: the Multimodal Learning Analytics Handbook

Book, Publication

Finally published, the new book "The Multimodal Learning Analytics Handbook" published by Springer edited by Michail Giannakos, Daniel Spikol, Daniele Di Mitri, Kshitij Sharma, Xavier Ochoa, Rawad Hammad. The book is the first comprehensive resource in the area of multimodal data for learning. State-of-the-art machine learning and AI methods for making sense of complex learning data. It explores the role and impact of multimodal data on teaching, learning, and training.

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,…

Oct62022 by Daniele Di MitriNo Comments

Keynote: Artificial Intelligence and Immersive Technologies for Feedback Augmentation

Invited talk, Keynote

On 5th October 2022, Dr Daniele Di Mitri was invited to give a keynote workshop at the SITE interactive online conference. Keynote Workshop: Artificial Intelligence and Immersive Technologies for Feedback Augmentation Abstract: Twenty-first-century learners are continuously required to nurture their competencies by acquiring new knowledge and mastering new skills. A way to meet this significant demand for learning is to offer learners continuous instruction and timely feedback. In the internet era, learners have access to a large variety of educational content outside formal education curricula, including online courses or video lectures. Unfortunately, access to content alone is not sufficient for guaranteeing learning. What is needed, and often lacking, is proper guidance and feedback. Artificial Intelligence (AI) systems can provide automatic, personalised, real-time feedback to learners in distance learning settings when…

Sep142022 by Daniele Di MitriNo Comments

MILeS 2022 – Multimodal Immersive Learning Systems

Event, Workshop

On 13th September, the EduTec team members Daniele Di Mitri, Jan Schneider, Fernando Cardernas, Gianluca Romano, and George Ciordas, Sebastian Gombert and Onur Karademir contributed to organising the workshop at EC-TEL 2022 conference entitled MILeS 2022 – Multimodal Immersive Learning Systems. The DIPF also authored various contributions to the workshop: Bibeg Limbu, Gitte Van Helden, Jan Schneider and Marcus Specht. We can teach more than we can tell: combining Deliberate Practice, Embodied Cognition, and Multimodal Learning. Fernando Pedro Cardenas Hernandez and Jan Schneider. Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices Gianluca Romano. Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skills Daniele Di Mitri, Sebastian Gombert and Onur Karademir. Reflecting on the Actionable Components of a Model for Augmented Feedback The MILeS 2022 workshop is…

Sep142022 by Daniele Di MitriNo Comments

New Pub: Actionable Components of a Model for Augmented Feedback

Feedback, Higher Education, Multimodal Learning Analytics, Workshop

A new workshop paper was presented at the MILeS 2022 workshop written by Daniele Di Mitri, Sebastian Gombert, Onur Karademir entitled: Reflecting on the Actionable Components of a Model for Augmented Feedback. The MILeS 2022 – Multimodal Immersive Learning Systems workshop took place on the 13th of September at EC-TEL 2022 conference taking place in Toulouse, France. The paper will appear in the CEUR proceedings. Abstract. In this paper, we introduce the concept of "Augmented feedback'' as an enhanced version of traditional educational feedback enriched by digital data and artificial intelligence. To provide an operational definition of augmented feedback, we acknowledge previous research in the fields of technology-enhanced learning and learning analytics. We argue why augmented feedback constitutes a promising research direction for the future of learning. We define the…