Research topic – EduTec Science

Sep152022 by Sebastian GombertNo Comments

Sebastian Gombert @ EC-TEL 2022 Doctoral Consortium

Artificial Intelligence, Conference, Event, Learning Analytics, Research topic

At EC-TEL 2022, Sebastian Gombert presented his doctoral project "Methods and perspectives for the automated analytic assessment of free-text responses in formative scenarios". The goal behind this project is to build free-text assessment systems which can code constructed responses analytically. While much of the past work in response scoring focused on predicting holistic scores, analytic scoring allows to code free-text responses for multiple different aspects. The goal behind these efforts is to provide learners and teachers with useful feedback on each of them. A more detailed project overview will be released as part of the EC-TEL 2022 doctoral consortium proceedings soon.

Sep152022 by Ioana JivetNo Comments

Third edition of the Culturally Aware Learning Analytics (CARLA) Workshop at ECTEL22

Conference, General education, Higher Education, Learning Analytics, Workshop

On the 13th of September, as part of the EC-TEL22 conference, EduTec team member Ioana Jivet co-hosted the third edition of the Culturally Aware Learning Analytics (CARLA) Workshop together with Olga Viberg from KTH Stockholm and Maren Scheffel from Ruhr University Bochum. Learning analytics (LA) have been implemented in various countries, often at a limited scale. We have also seen that LA have been used in different ways in different countries. This makes the transfer of LA solutions from one country to another challenging, due to varying contextual, technical, and cultural factors. Also, the idea that a ‘one size fits all’ paradigm does not lead to effective LA tool designs and implementation has become accepted within both TEL and LA communities. Yet, there is still a big question about what…

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 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);…

Sep92022 by Daniele Di MitriNo Comments

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…

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…

Aug292022 by Ioana JivetNo Comments

New Pub: Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review

Higher Education, Journal, Learning Analytics, Self-Regulation

Self-regulated learning (SRL) is a crucial higher-order skill required by learners of the 21st century, who will need to become lifelong learners to adapt to the continually changing environments. Literature provides examples of tools for scaffolding SRL in online environments. In this study, we provide the state-of-the-art concerning tools that support SRL in terms of theoretical models underpinning development, supported SRL processes, tool functionalities, used data and visualizations. We reviewed 42 articles published between 2008 and 2020, including information from 25 tools designed to support SRL. Our findings indicate that (1) many of the studies do not explicitly specify the SRL theoretical model used to guide the design process of the tool; (2) goal setting, monitoring, and self-evaluation are the most prevalent SRL processes supported through functionalities such as content…

Aug262022 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Toward learning progression analytics — Developing learning environments for the automated analysis of learning using evidence-centred design

Computational Psychometrics, Journal, Learning Analytics, Learning Design, Open access, Project, Publication, School

[caption id="attachment_4319" align="alignright" width="450"] A procedure for developing digital learning environments that allow for the automated assessment of learning.[/caption] National educational standards stress the importance of science and mathematics learning for today’s students. However, across disciplines, students frequently struggle to meet learning goals about core concepts like energy. Digital learning environments enhanced with artificial intelligence hold the promise to address this issue by providing individualized instruction and support for students at scale. Scaffolding and feedback, for example, are both most effective when tailored to students’ needs. Providing individualized instruction requires continuous assessment of students’ individual knowledge, abilities, and skills in a way that is meaningful for providing tailored support and planning further instruction. While continuously assessing individual students’ science and mathematics learning is challenging, intelligent tutoring systems show that it…