Jun162023 by Heather WehnerNo Comments
New pub: Measuring Collaboration Quality Through Audio Data and Learning Analytics

New pub: Measuring Collaboration Quality Through Audio Data and Learning Analytics

Book chapter, Computer-supported collaborative learning, Learning Analytics, Multimodal Learning Analytics
In the rapidly evolving twenty-first century, collaboration stands as a vital skill. Recognizing its significance, the detection of collaboration quality can play a pivotal role in fostering effective teamwork. This newly published chapter dives into the realm of collaboration quality detection and measurement, aiming to achieve the following objectives: Defining collaboration quality by leveraging audio data and unobtrusive learning analytics measures. Detailing the design of a sensor-based setup specifically tailored for automatic collaboration analytics. Advancing the quantification of collaboration quality through the utilization of this setup and presenting the analysis using insightful visualizations. Moreover, the chapter delves into the challenges and issues at hand while exploring potential solutions that build upon existing research. To elucidate the various objectives, the terminology of "indicators" (i.e., the events) and "indexes" (i.e., the process)…
Read More
Jun62023 by Heather WehnerNo Comments
New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

Artificial Intelligence, Book chapter, Learning Analytics, Research Methods
In this newly published book chapter, the authors delve into the comparison between interactive, adaptive and artificially intelligent learning programs. While adaptive and AI-based applications offer promising potential, they face greater complexity in their development and have yet to fully establish themselves. To evaluate the prospects of these technologies, their respective capabilities are explored. Adaptive learning programs prove effective in skill acquisition, while AI-based solutions shine in cases where an explicit expertise model is challenging to articulate. The didactic and pedagogical challenges that lie ahead for AI-based learning applications are also highlight. By examining these factors, valuable insights are gained into the landscape of advanced learning technologies and their future implications. Reference: Kerres, M., Buntins, K., Buchner, J., Drachsler, H., & Zawacki-Richter, O.. (In Press). Lernpfade in adaptiven und künstlich-intelligenten…
Read More
Jun22023 by Heather WehnerNo Comments
New pub: Digitalisierung und Diagnostik in Schulen – Herausforderungen für Bildungspraxis und Bildungsforschung

New pub: Digitalisierung und Diagnostik in Schulen – Herausforderungen für Bildungspraxis und Bildungsforschung

Assessment, Book chapter, Computational Psychometrics, Digitalisation, Learning Analytics, Research Methods, Research topic, School
In the spring of 2020, schools faced an unprecedented challenge as the pandemic disrupted traditional modes of instruction and school development. With on-site learning replaced by digital formats and distance communication, educators had to quickly adapt to the new normal. Amidst these changes, the field of education encountered specific challenges related to digital school management, digital learning, and assessing learning progress. Particularly, computer-aided diagnostics emerged as a valuable tool for gaining insights not only into learning outcomes but also into the learning process itself. Researchers became intrigued by the potential of digital media in shaping learning experiences and how the resulting data could be effectively utilized in educational practice. This paper explores the current challenges and potentials in computer-based, learning-accompanying diagnostics. The primary hurdles involve implementing suitable instruments within schools…
Read More
Feb272023 by Atezaz AhmadNo Comments
Book Chapter – A Trusted Learning Analytics Dashboard for Displaying OER

Book Chapter – A Trusted Learning Analytics Dashboard for Displaying OER

Book, Book chapter, Learning Analytics, Open access, Project, Report
Abstract Learning Analytics (LA) consists of miscellaneous steps that include data harvesting, storing, cleaning, anonymisation, mining, analysis, and visualisation so that the vast amount of educational data is comprehensible and ethically utilisable by educators or instructors to obtain the advantages and benefits that LA can bring to the educational scene. These include the potential to increase learning experiences and reduce dropout rates. In this chapter, we shed light on OER repositories, LA, and LA dashboards and present an implementation of a research-driven LA dashboard for displaying OER and their repositories that allows the visualisation of educational data in an understandable way for both educators and learners. Moreover, we present an LA dashboard for displaying OER that shows information about the existing German OER repositories as part of our EduArc project…
Read More
Oct102022 by Daniele Di MitriNo Comments
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,…
Read More
Sep112022 by Daniele Di MitriNo Comments
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);…
Read More