Publication Archives - Page 5 of 16

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…

Sep152022 by Fernando P. Cardenas-HernandezNo Comments

New Pub: Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices

Workshop

On September 13, during the MILeS 2022 – Multimodal Immersive Learning Systems workshop that took place at EC-TEL 2022 conference in Toulouse, France, the paper entitled Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices was presented. This paper, which will appear in the CEUR Workshop Proceedings, was written by Fernando P. Cardenas-Hernandez, and Jan Schneider. Abstract. For the integral learning/training of a psychomotor activity such as running, it is necessary to target not only the physical aspects but also the technical and mental aspects that make it up, an alternative to solve this issue is through the understanding and consideration of feedback and periodization, which are elements that constitute and influence transcendentally and differently each of the three aspects involved. That is why,…

Sep142022 by Sebastian GombertNo Comments

New Pub: Superpowers in the Classroom: Hyperchalk is an Online Whiteboard for Learning Analytics Data Collection

Computer-supported collaborative learning, Conference, Conference, Event, Further Education, General education, Higher Education, Learning Analytics, Lifelong Learning, Publication, School, Technical paper

A new system demonstration paper authored by Lukas Menzel, Sebastian Gombert, Daniele Di Mitri and Henrik Drachsler has been released as part of the ECTEL 2022 proceedings. In this paper, we present Hyperchalk, a self-hosted collaborative online whiteboard software. Similar to commercial solutions like Miro or Flinga, this software provides users with collaborative boards which they can use to draw, write or sketch together. However, unlike commercial solutions, Hyperchalk allows for collecting rich log data, which can be used to study the behaviour of its users and to allow Learning Analytics and studies on computer-supported collaborative learning. Moreover, Hyperchalk comes with a built-in replay mode which allows watching how users behave in its spaces. It supports the LTI1.3 standard, which enables seamless integration with learning management systems such as Moodle,…

Sep142022 by Gianluca RomanoNo Comments

New Pub: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill

Workshop

A new workshop paper was presented at the MILeS 2022 workshop written by Gianluca Romano entitled: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill. 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. Learning psycho-motor skills requires feedback for improvement and give insight on performance. However, providing feedback is not trivial. Every learner is different and the same feedback might not work for everyone. The workshop aims to make participants aware of the problematic transition from analyzed wearable sensor data to meaningful feedback. Thus, the participants will get more familiar with wearable sensor data and directly experience how learners might want to receive feedback that they deem…

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…

Sep142022 by Daniele Di MitriNo Comments

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…

Sep112022 by Daniele Di MitriNo Comments

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);…

Sep62022 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: FoLA2 — A Method for Co-creating Learning Analytics–Supported Learning Design

Further Education, General education, Higher Education, Journal, Learning Analytics, Learning Design, Open access, Publication, School

Finally, we have published an article about the FOLA2 method that we have used for over two years frequently to design Learning Analytics supported Learning Designs with teachers of various backgrounds. Learning activities are at the core of every educational design effort. Designing learning activities is a process that benefits from reflecting on previous runs of those activities. One way to measure the behaviour and effects of design choices is to use learning analytics (LA). The challenge, however, lies in the unavailability of an easy-to-use, LA-supported learning design (LD) method. We established a method—the Fellowship of Learning Activities and Analytics (FoLA2)—reinforced by a gameboard and cards to provide structure and inspiration. The method enables several participants with different roles to interact with a set of card decks to create an…