Event Archives - Page 10 of 19

Jun192023 by Nina MouhammadNo Comments

Workshop @ JTELSS – “We can’t stop communicating – AI can help us to use this data for education”

At the 17th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2023) in La Manga, Spain, Nina Mouhammad and Stefan Hummel conducted the workshop "We can't stop communicating - AI can help us to use this data for education." The workshop emphasized the importance of incorporating both verbal and nonverbal communication signals in technology-enhanced learning applications. Various examples highlighting successful implementations were discussed. The participants were divided into two groups to explore nonverbal and verbal communication, respectively. After engaging discussions, interactions and also prototype testing, the groups swapped to gain insights from both perspectives. To conclude the workshop on a creative note, participants formed small groups and designed either the worst presentation skills training app imaginable or a product box for a presentation skills training robot. This exercise sparked laughter while…

Jun92023 by Atezaz AhmadNo Comments

GREAT Project Presentations at Int. Conf. of Young Scientists, 2023

Conference, Project

Horizon Europe & UKRI #GREATProjectGG "Games Realising Effective and Affective Transformation" dissemination activities were underway at the International Conference of Young Scientists, held in conjunction with the Global Young Academy Annual General Meeting, Kigali, Rwanda, 5-9 June, 2023. As part of the Science Education for Youth workshop, Jane shared the project with Global Young Academy members and also external guests. Jane also gave a lightning talk to a larger audience in the main session of the conference. Follow on Twitter for more updates: @GREATProjectGG

May312023 by Heather WehnerNo Comments

A Vibrant Week of Exchange Between Brazilian and German LA Researchers

Higher Education, Learning Analytics, Multimodal Learning Analytics, Research Methods, Research topic, Workshop

From May 22 to 25, 2023 five esteemed guest researchers from Brazil visited the EduTec team in Frankfurt in the context of the Humboldt Foundation's Connect Program. This productive exchange not only shed light on the current state of Learning Analytics (LA) research in Brazil and Germany but also paved the way for potential collaborative research activities. Status of LA research in Brazil The week began with a discussion of the role of LA in the global South. Rafael Ferreira Mello from the Federal Rural University of Pernambuco (UFRPE) emphasized the importance of adapting LA methodologies to the specific context and needs of Brazil, ensuring inclusivity and accessibility in educational initiatives. Diego Dermeval from the Universidade Federal de Alagoas (UFAL) highlighted the potential of AI and LA in supporting teachers…

Apr272023 by Atezaz AhmadNo Comments

HIKOF-DL Presentation at the University Future Festival

Conference, Event

Jane, as the project-coordinator, presented HIKOF-DL in the Track - AI & Technology, at the University Future Festival on 27.4.2023. Abstract: During the COVID-19 pandemic, we made use of artificial intelligence and learning analytics technologies for both lecturers’ and students’ online teaching and learning gains. Using these technologies, the team designed and implemented novel ways of providing highly-informative competence driven feedback (hicof) to large classes of university students (≈1000) for three innovative online assignments. We built machine learning models to automatically assess the assignments and reduced the time required for staff to manually grade them. High-informative feedback provides correct solutions, possibilities for improvement, hints on self-regulation and effective learning strategies (Wisniewski, Zierer and Hattie, 2020; Winne & Hadwin, 2008), and on two different levels - Feed Up (concerning their understanding of the learning goal) and Feed Forward (concerning their next steps in their learning process) (Hattie & Timberley, 2007). Competence driven feedback is feedback that is given to students based on…

Apr222023 by Atezaz AhmadNo Comments

HIKOF-DL – 4th Committee Meeting with Industry Members

Event, Transfer Activity

The fourth Committee meeting with industry members of the research project "HIKOF-DL" took place on March 31, 2023. HIKOF-DL is a project funded by the Hessen Ministerium für Digital Strategie und Entwicklung, which aims to provide high-informative feedback for a large number of university students, and automatic assessment, in order to reduce the lecturers' workload. The meeting yielded exciting results and discussions, showcasing the progress and potential of this innovative study. The meeting kicked off with an introduction by Prof. Dr. Hendrik Drachsler, who emphasized the significance of artificial intelligence (AI) in education. Dr. Joshua Weidlich, a key researcher in the project, then presented the research design of the study. The study population was divided into an experimental group and a control group to investigate two aspects: how students respond…

Apr172023 by Heather WehnerNo Comments

Visit from Sasha Poquet

Digitalisation, Higher Education, Invited talk, Learning Analytics, Research topic

On April 13th, we had the pleasure of welcoming Prof. Dr. Oleksandra (Sasha) Poquet, professor in learning analytics at the TUM School of Social Sciences and Technology at the Technical University of Munich, to our EduTec group in Frankfurt. The visit provided a valuable opportunity for the EduTec group to learn from Sasha's research experience and explore the future of educational technology. The visit began with an introduction by Hendrik Drachsler, who provided an overview of our current research and ongoing projects. This was followed by a presentation by Oleksandra Poquet, who discussed her current, present and future research. In the past, Sasha's research focused on Massive Open Online Courses (MOOCs) and the impact of homophily on university course enrollment. She also discussed her work on Modelling Digital Networks with…

Apr122023 by Atezaz AhmadNo Comments

Paper and presentation about the topic of detecting disengaged reading at LAK23

Conference, Conference, Event, Higher Education, Publication, Research topic, Self-Regulation, Target group

At the recent Learning Analytics and Knowledge Conference (LAK23), Daniel Biedermann presented his paper "Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading," to shed light on the potential for early detection of disengagement in readers. The paper presents a unique method for early disengagement detection that relies solely on the classification of scrolling data. By transforming scrolling data into a time series representation, each point of the series represents the vertical position of the viewport in the text document. Time series classification algorithms are then used to evaluate the data.The results were promising, with the method able to classify disengagement early with up to 70% accuracy. However, the study also observed differences in performance depending on which texts were included in the training dataset. Biedermann…

Mar202023 by Atezaz AhmadNo Comments

Highly Informative LA Workshop at LAK23

Conference, Higher Education, Learning Analytics, Learning Design, Workshop

On the 13th of March 2023, as part of the LAK23 conference, five EduTec team members (Daniele Di Mitri, Ioana Jivet, Sebastian Gombert, Atezaz Ahmad and Hendrik Drachsler) organised a full-day workshop on Highly Informative Learning Analytics with Marcel Schmitz from Zuyd University of Applied Sciences, The Netherlands. In this workshop, we investigated the concept of highly informative learning analytics and proposed a methodology for designing an environment that delivers highly informative learning analytics. The workshop is intended as a hands-on, interactive session that allows participants to test the methodology’s potential in a realistic use case. The proposed approach is based on the four-stage process of the Design Cycle for Education (DC4E). We exemplify practical tools that were designed in-house for each stage, including a tool to support teachers while…

Mar202023 by Atezaz AhmadNo Comments

Best Short Paper Award Nomination @LAK23

Award, Conference, Conference, Higher Education, Learning Analytics

The protection of students’ privacy in learning analytics (LA) applications is critical for cultivating trust and effective implementations of LA in educational environments around the world. However, students’ privacy concerns and how they may vary along demographic dimensions that historically influence these concerns have yet to be studied in higher education. Gender differences, in particular, are known to be associated with people's information privacy concerns, including in educational settings. Building on an empirically validated model and survey instrument for student privacy concerns, their antecedents and their behavioral outcomes, we investigate the presence of gender differences in students’ privacy concerns about LA. We conducted a survey study of students in higher education across five countries (N = 762): Germany, South Korea, Spain, Sweden and the United States. Using multiple regression analysis,…

Mar82023 by Heather WehnerNo Comments

Dissemination event for the AFELK project

Event, Feedback, Project, Project meeting, Research topic, School, Target group

Digital lessons can help track individual student learning progression, analyze the extent to which they are productive and report this information back to teachers. But how can this individual learning progression and the learning difficulties that arise in the process be depicted? The research project AFLEK "Analyse und Förderung von Lernverläufen zur Entwicklung von Kompetenzen" (Analysis and Support of Learning Trajectories for the Development of Competencies) is currently looking for answers to this issue. The interdisciplinary project team uses so-called teacher dashboards to provide physics teachers with almost real-time feedback on the learning progress of their students. The information from digital teaching units helps identify productive and unproductive learning progression; this information can then help to automatically recolonize learning difficulties und derive feedback for the teachers to support more productive…