New Pub: the Multimodal Learning Analytics Handbook

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.
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New Pub: Multimodal Learning Experience for Deliberate Practice

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,…
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Keynote: Artificial Intelligence and Immersive Technologies for Feedback Augmentation

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…
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MILeS 2022 – Multimodal Immersive Learning Systems

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…
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New Pub: Actionable Components of a Model for Augmented Feedback

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…
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EC-TEL 2022 Doctoral Consortium

EC-TEL 2022 Doctoral Consortium

Event
On 12th September, 2022, EduTec members Daniele Di Mitri, Ioana Jivet and Jan Schneider chaired the EC-TEL Doctoral Consortium at the Seventeenth European Conference on Technology Enhanced Learning Educating for a new future: Making sense of technology-enhanced learning adoption Toulouse, France, 12-16 September 2022. Among the 12 PhD candidates presenting to the DC were EduTec PhD candidates Sebastian Gombert and visiting PhD candidate Andrea Zanellati.   The EC-TEL Doctoral Consortium brings together PhD candidates working on topics related to Technology-Enhanced Learning providing them an exceptional opportunity to present, discuss, and receive feedback on their research in an interdisciplinary and international atmosphere. Prominent professors and researchers in the field of Technology-Enhanced Learning will provide formative feedback to the selected papers through the review process and contribute actively to discussions at the…
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New Pub: Privacy-Preserving and Scalable Affect Detection in Online Synchronous Learning

New Pub: Privacy-Preserving and Scalable Affect Detection in Online Synchronous Learning

Artificial Intelligence, Conference, Multimodal Learning Analytics, Publication, Research topic
A full research paper entitled "Privacy-Preserving and Scalable Affect Detection in Online Synchronous Learning" written by Felix Böttger, Ufuk Cetinkaya, Daniele Di Mitri, Sebastian Gombert, Krist Shingjergji, Deniz Iren & Roland Klemke was  accepted at the Seventeenth European Conference on Technology Enhanced Learning (EC-TEL 2022) Educating for a new future: Making sense of technology-enhanced learning adoption - Toulouse, France, 12-16 September 2022 The paper reports on a research prototype which stems from the cooperation between DIPF and the Open University of the Netherlands. Abstract The recent pandemic has forced most educational institutions to shift to distance learning. Teachers can perceive various non-verbal cues in face-to-face classrooms and thus notice when students are distracted, confused, or tired. However, the students’ non-verbal cues are not observable in online classrooms. The lack of…
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New pub: The Rise of Multimodal Tutors in Education

New pub: The Rise of Multimodal Tutors in Education

Artificial Intelligence, Book chapter, Further Education, Higher Education, Multimodal Learning Analytics, Open access, Publication
A book chapter entitled "The Rise of Multimodal Tutors in Education" written by Daniele Di Mitri, Jan Schneider & Hendrik Drachsler was published open access in the "Handbook of Open, Distance and Digital Education" edited by Olaf Zawacki-Richter and Insung Jung. Abstract This chapter describes the insights derived from the design and development of the Multimodal Tutor, a system that uses artificial intelligence to provide digital feedback and support psychomotor skills acquisition. In this chapter, we discuss the insights which we gained from eight studies: (1) an exploratory study combining physiological data and learning performance (Learning Pulse); (2) a literature survey on multimodal data for learning and a conceptual model (the Multimodal Learning Analytics Model); (3) an analysis of the technical challenges of Multimodal Learning Analytics (the Big Five Challenges);…
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HyTea – new BMBF project approved

HyTea – new BMBF project approved

Artificial Intelligence, Higher Education, Project
On 1st September, the German Federal Ministry of Education approved a new collaborative project between DIPF EduTec and Cologne Game Lab named "Model for Hybrid Teaching (HyTea)". The project's total funding is Eur 750,000 and will be financing two PhD candidates at the DIPF and one a the Cologne Game Lab. The project's Principal Investigators are Dr. Daniele Di Mitri from the DIPF side and Prof. Dr. Roland Klemke of the Cologne Game Lab (TH Köln). Short project description Artificial Intelligence (AI) systems can provide automatic, personalised and real-time feedback to learners in distance learning settings when a human expert is unavailable. AI feedback has the potential to be always available and can allow learners to practice deliberately and repeatedly at their own pace. Embedding AI feedback into immersive and…
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