News & Events
January 2024New Publication in Computers and Education: Artificial Intelligence
In our new paper "ConceptGCN: Knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT", recently published in Computers and Education: Artificial Intelligence, we propose ConceptGCN, an end-to-end framework that combines knowledge graphs, graph convolutional networks, and transformer sentence encoders to enhance the representations of knowledge concepts and learner models and provide personalized and explainable recommendation of concepts in our MOOC platform CourseMapper. The paper is available as open access here.
December 2023OpenLAP @ Lehrkräftefortbildung Informatik 2023
On December 1, 2023, Shoeb Joarder attended the Lehrkräftefortbildung Informatik 2023. He presented our ongoing work on Human-Centered Learning Analytics (HCLA) with Open Learning Analytics Platform (OpenLAP), our platform for self-service learning analytics. He showed a demo of OpenLAP in action, with a focus on the Indicator Specification Card (ISC) Creator and the Indicator Editor in OpenLAP.
October 2023New Publication in IJHCI
Our paper "Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System" has been published in the International Journal of Human-Computer Interaction (IJHCI). In this work, we show how to design explanations with different levels of detail, in a systematic and theoretically-sound manner. Further, we highlight the positive impact of user-controlled, interactive explanation with varying level of details on the perception of explainable recommendation. A preprint version of the paper is available here.
October 2023New Publication in Information Journal
Our paper "Automatic Construction of Educational Knowledge Graphs: A Word Embedding-Based Approach" has been published in the Information Journal. In this work, we aimed at improving the concept extraction and weighting mechanisms in educational knowledge graphs (EduKGs) by leveraging state-of-the-art word and sentence embedding techniques. The paper is available as open access here.
September 2023New Publication in MTI Journal
Our paper "Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders" has been published in the Multimodal Technologies and Interaction Journal. In this work, we combine word embedding-based keyphrase extraction techniques with knowledge bases to generate semantically-enriched user interest models, and we leverage pretrained transformer sentence encoders to represent user models and papers and compute their similarities. The paper is available as open access here.
August 2023OpenLAP @ Learning AID
On August 28 & 29, 2023, Shoeb Joarder attended the 2nd Learning AID at the Ruhr-University of Bochum. The conference and workshop was organized by the state funded project KI:edu.nrw – a project to promote Didactics, Ethics and Technology of Learning Analytics and AI in Higher Education. The event focused on the practical use of learning analytics, artificial intelligence, and data mining in higher education. Shoeb presented our ongoing research on Human-Centered Learning Analytics (HCLA) and gave a demo on the ISC Creator module in our Open Learning Analytics Platform (OpenLAP). The ISC Creator provides an intuitive user interface that allows the low-cost design of low-fidelity Learning Analytics indicators using Indicator Specification Cards. A demo can be found here.
July 2023New Publication in Information Journal
You might be interested in understanding the difference between Transparency and Justification in explainable recommender systems. Check out our contribution "Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System" which is published in the Information Journal as part of the Special Issue "Information Visualization Theory and Applications". The paper is available as open access here.
May 2023New Publication on Visually Explainable Recommendation
Interested to learn more about visual explanation in recommender systems? Check out our paper "Visualization for Recommendation Explainability: A Survey and New Perspectives" at the following link.
May 2023New Publication in ExUM@UMAP 2023
Our paper "Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study" got accepted as a full research paper at the workshop on Explainable User Models and Personalized System (ExUM 2023) in conjunction with the conference on User Modeling, Adaptation and Personalization (ACM UMAP 2023). A preprint version of the paper is available here.
April 2023Clara Siepmann presenter at the CHI'23 HCXAI Workshop
On April 28th and 29th, 2023, Clara Siepmann attended the Human-Centered Explainable AI Workshop at the CHI'23 conference. She presented our paper "Trust and Transparency in Recommender Systems". In this work, we argue that exploration and explanation can be seen as two ends of a spectrum, with both having the potential to help the user achieve transparency and therefore trust. We referred to the combination of both approaches as exploranation. The paper can be found here.
March 2023Shoeb Joarder presenter and co-moderator at the LAK'23 HCLA Workshop
On March 13, 2023, we co-organized the Fourth International Workshop on Human-Centered Learning Analytics (HCLA) at the LAK’23 conference. Shoeb Joarder co-moderated the table discussion on “How can we create trustworthy LA systems?”. Furthermore, he presented our paper "Towards a Flexible User Interface for ‘Quick and Dirty’ Learning Analytics Indicator Design". In this work, we present the development details of an intuitive and theoretically-sound Indicator Specification Cards (ISC) user interface that allows the low-cost design of learning analytics indicators. The paper can be found here. A demo of the ISC user interface in OpenLAP can be found here.
November 2022HCLA Workshop at LAK'23
Join us for the Fourth International Workshop on "Human-Centred Learning Analytics (HCLA)" that we are co-organizing at the 13th International Learning Analytics and Knowledge (LAK'23) conference in Arlington, Texas, USA (March 13-17, 2023). The workshop will be fully online.
Human-centred learning analytics (HCLA) is an emerging subcommunity of learning analytics (LA) researchers and practitioners interested in creating reliable and trustworthy LA systems that amplify and augment the abilities of educational stakeholders and which are aligned to intentions, revealed preferences, ideal preferences, interests and values.
More details and call for short papers can be found on the workshop website.
October 2022Qurat Ul Ain "Best Presenter" at the ICETC'22 Conference
Qurat Ul Ain has been selected as the "Best Presenter" from all the presentations in the 14th International Conference on Education Technology and Computers ICETC'22 which was held hybrid (in Barcelona and online) from October 28th to 30th, 2022. She presented a paper related to our CourseMapper project, titled: "Learning Channels to Support Interaction and Collaboration in CourseMapper". A preprint version of the paper is available here.
October 2022Clara Siepmann joins our team!
Our team continues to grow! We warmly welcome a new research assistant and Ph.D. student to our group. Clara Siepmann holds a master's degree in Applied Cognitive and Media Science from the University of Duisburg-Essen. Clara is especially interested in human factors in computing systems and AI/machine learning. She will strengthen our group's research on trustworthy human-AI interaction.
July 2022IDEA/ELAS@DataCampus UDE Conference
On July 5th, 2022 Shoeb Joarder attended the DataCampus Conference in Essen. The event was organized by the DataCampus UDE - an interdisciplinary association to promote data skills at the UDE. During the conference, impressions of the development of the field of data literacy and data science were given, practical examples for the promotion of data skills in the subjects were presented, and perspectives for the development and expansion of data literacy and data science offered at the UDE were jointly developed. Shoeb presented the results of our Interactive Data Exploration and Analytics (IDEA)lab course and Exploratory Learning Analytics Toolkit for Students (ELAS) project - a collection of Learning Analytics applications developed by students for students.
July 2022Mouadh Guesmi gives presentations at the UMAP'22 conference
Mouadh Guesmi attended the 30th ACM Conference on User Modeling, Adaptation, and Personalization (UMAP'22) which was held hybrid (in Barcelona and online) from July 4th to 7th, 2022. He presented two papers on our ongoing work on explainable recommender systems and explanation design choices. One in the main conference entitled: "Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System" (link to the paper), and the second was in the ExUM workshop entitled "Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study" (link to the paper).
June 2022Open Position in Trustworthy Data Science
We currently have one open position for a Research Assistant and PhD Student in trustworthy data science. Please send your application as one PDF file to Prof. Mohamed Chatti. Application deadline is July 7th 2022.
June 2022New Publication in MTI Journal
You might be interested in our Explore - Develop - Understand - Scrutinize - Socialize (EDUSS) framework for self-actualization goals of transparent user modeling. Check out our contribution "Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach" which is published in the Multimodal Technologies and Interaction Journal as part of the Special Issue "Explainable User Models". The paper is available as open access here.
May 2022New Publication in ExUM@UMAP 2022
Our paper "Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study" got accepted as a full research paper at the workshop on Explainable User Models and Personalized System (ExUM 2022) in conjunction with the conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022). A preprint version of the paper is available here.
May 2022Rawaa Alatrash joins our team
Our team is growing. We are happy to welcome a new research assistant and Ph.D. student to our group! Rawaa Alatrash holds a master's degree in Computer Science and Engineering from India with a scholarship. Rawaa is interested in Human-Centered AI and NLP. She will support our group's research on knowledge graphs for recommendation and explanation.
April 2022 New Publication in UMAP 2022
Our paper "Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System" got accepted as a full research paper at the conference on User Modeling, Adaptation and Personalization (ACM UMAP 2022). A preprint version of the paper is available here.
April 2022HCI and LA Student Projects
The results of the student projects developed in the Human-Computer Interaction (HCI) and Learning Analytics lecture course in the winter semester of 2021/22 are now available, including open-source codes, demos, and advertisement videos.
Teams of students in HCI participated in a two-months project to design and build a prototype around a set of user needs. The teams are tasked with milestones to move them towards a high-fidelity prototype as
proof-of-concept that is presented in slides and demos at the end of the course. We were impressed with the quality of their projects.
February 2022New Publication in APEx-UI@IUI 2022
Our paper "A Multi-Dimensional Conceptualization Framework for Personalized Explanations in Recommender Systems" got accepted at the workshop on Adaptive and Personalized Explainable User Interfaces (APEx-UI) in conjunction with the conference on Intelligent User Interfaces (ACM IUI 2022). In this work, we present a multi-dimensional conceptualization framework for personalized explanations in recommender systems, based on five dimensions: WHAT to personalize?, TO WHOM to personalize?, WHO does the personalization?, WHY personalize?, and HOW to personalize?. The paper can be found here.
January 2022New Publication
You might be interested in how to effectively bring together theories and models from self-regulated learning, learning analytics, human-centered design, and information visualization. Check out our contribution "Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications" recently published as a chapter in the book "Visualizations and Dashboards for Learning Analytics. Advances in Analytics for Learning and Teaching" by Springer . In this chapter, we present the Student-Centered Learning Analytics-enhanced Self-Regulated Learning (SCLA-SRL) methodology for building theory-driven LA-enhanced SRL applications for and with learners. A preprint version of the chapter can be found here.
December 2021AWT and IDEA Student Projects
The results of the student projects developed in theAdvanced Web Technologies (AWT)lecture course andInteractive Data Exploration and Analytics (IDEA)lab in summer semester 2021 are now available, including open-source codes, demos, and advertisement videos. Our students managed again to provide excellent projects and we are proud of them!
August 2021New Publication in IntRS@RecSys 2021
July 2021Qurat Ul Ain joins our team
We are happy to welcome a new research assistant and Ph.D. student to our group. Qurat Ul Ain holds a master's degree in Computer Science from the National University of Computer & Emerging Sciences, Islamabad, Pakistan. Qurat Ul Ain is especially interested in Human-Computer Interaction and User Experience Engineering. She will strengthen our group's research on explainable learning analytics.
June 2021SIMT/RIMA Demo at UMAP 2021
In the UMAP poster/demo session on Thursday, June 24, 2021, 15:30-16:15 CEST, we will present the Semantic Interest Modeling Toolkit (SIMT) and show how it has been leveraged in the transparent Recommendation and Interest Modeling Application (RIMA) to infer interest models of researchers based on their publications extracted from Semantic Scholar and use the inferred interest models to provide personalized recommendations of tweets. Here are links to the paper, the poster, and the video presentation of the demo.
May 2021Shoeb Joarder joins our team
We are happy to welcome a new research associate and Ph.D. student to our group. Shoeb Joarder holds a master's degree in Computer Engineering from the University of Duisburg-Essen. Shoeb is especially interested in the application of HCI, big data analytics, and visual analytics in education and social media. He will strengthen our group's research on scalable human-centered learning analytics.
April 2021New Publication in ExUM@UMAP 2021
Our paper "On-demand Personalized Explanation for Transparent Recommendation" got accepted as a full research paper at the workshop on Explainable User Models and Personalized System (ExUM 2021) in conjunction with the conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021). The paper can be foundhere.
March 2021New Lab Course IDEA
Starting summer semester 2021, we are offering a new lab course onInteractive Data Exploration and Analytics (IDEA)for Bachelor students in Applied Computer Science and Komedia. The aim of this semester's IDEA lab is to provide the foundation for an Exploratory Learning Analytics Toolkit for Students (ELAS) to support UDE students in their learning activities.
February 2021New Publication in TExSS@IUI 2021
September 2020New Publication at ECTEL 2020
Mouadh Guesmi presented our paper "How to Design Effective Learning Analytics Indicators? A Human-Centered Design Approach" at the European Conference on Technology Enhanced Learning (ECTEL 2020). We propose in this work Human-Centered Indicator Design (HCID) as a transparent learning analytics approach that targets learners and teachers as end-users by involving them in the systematic design of learning analytics indicators that fit their needs, based on well-established design practices from the HCI and information visualization fields. A preprint version of the paper is available here.
April 2020CourseMapper in SS20
To support our online teaching in the summer semester 2020, we will use CourseMapper; a mind map-based collaborative course annotation and analytics platform that fosters collaboration and interaction around pdf/video learning materials, supported by visual learning analytics.
November 2019 XLA and ADORE Workshops at LAK2020
We're co-organizing two workshops in conjunction with the 10th International Learning Analytics and Knowledge (LAK) Conference. The workshop on Explainable Learning Analytics (XLA) aims at advancing research and practices around transparent insights, decisions, and actions in LA to improve the trustworthiness, impact, and adoption of LA systems at scale. The aim of the workshop on Addressing Drop-out Rates in Higher Education (ADORE) is to discuss challenges, issues, and best practices related to institutional LA and supporting student success. The paper submission deadline for both workshops is December 15, 2019.
March 2019 Prof. Mohamed Chatti gives keynote at the 2019 Sino-German Symposium on AIED
Prof. Mohamed Chatti attended the 2019 Sino-German Symposium China-German Perspectives on AI-supported Educational Technologies, held on March 25-27, 2019 at the Central China Normal University (CCNU), Wuhan, China. He gave a keynote on our ongoing work on open learning analytics and our technical infrastructure OpenLAP. The symposium comprised 19 talks by speakers from Germany and China and was attended by more than 100 people from different Chinese universities. Implementing learning analytics at scale is on top of the strategic agenda of China’s top universities.
February 2019 Mouadh Guesmi joins our team
We are happy to welcome a new researcher and PhD candidate in our group. With a master’s degree in Computer Science from the University of Kairouan, Tunisia, Mouadh Guesmi joined our team in February and will be working in the area of human-centered learning analytics with a focus on user modeling, personalization, and interactive recommendation. He received a DAAD PhD scholarship in the frame of the DAAD Graduate School Scholarship Programme (GSSP).
February 2019 New Lab Course on Learning Analytics and Visual Analytics (LAVA)
Starting summer semester 2019, we are offering a new lab course on Learning Analytics and Visual Analytics (LAVA) for students in Applied Computer Science, ISE Computer Engineering, and Komedia. The topic for this year’s LAVA project is the systematic development of interactive visualizations of educational datasets.
December 2018 Defense of the dissertation of Arham Muslim
Arham Muslim successfully defended his doctoral dissertation titled “OpenLAP: A User-Centered Open Learning Analytics Platform”, on Friday, December 14, 2018. Congratulations Dr. Muslim!
August 2018 New Course on Learning Analytics
Starting winter semester 2018/2019, we are offering a new lecture on Learning Analytics for Master’s students in Applied Computer Science and ISE Computer Engineering. Learning Analytics is an emerging field at the intersection of data science and learning technologies.
June 2018 Four DAAD PhD Scholarships
We are happy to announce that our proposal in the frame of the DAAD Graduate School Scholarship Programme (GSSP) got positively evaluated. 4 full DAAD PhD scholarships (2 in 2019 and 2 in 2020) will be available for international graduate students. The PhD positions will be advertised soon here and on the User-Centred Social Media graduate school Website. More information about the application process is available on the DAAD GSSP Website.
April 2018 New publication
Our article “A Modular and Extensible Framework for Open Learning Analytics” has been published in JLA (Volume 5, Issue 1), the premier international journal on Learning Analytics published by the Society for Learning Analytics Research (SoLAR). The full article can be found here.
March 2018 New Course on Advanced Web Technologies
Starting summer semester 2018, we are offering a new lecture on Advanced Web Technologies for Master’s students in Applied Computer Science and ISE Computer Engineering. Due to the focus on hands-on development, we have a limit of 30 students for this class.
February 2018 Arham Muslim joins our team
We are happy to welcome a new research associate and PhD candidate in our group. Arham Muslim holds a Master’s degree in Computer Science from RWTH Aachen University where he worked as researcher and developer at the Center for Innovative Learning Technologies (CiL). Arham joined our team in February and will continue his excellent research in the area of user-centered learning analytics.
November 2017 Open Position in Data Science
We currently have one open position for a Research Assistant in Data Science with a focus on Learning Analytics and Visual Analytics. Please send your application as one PDF file to Prof. Dr. Mohamed Amine Chatti. Application deadline is November 30th 2017.
November 2017 Smart Learning Media
An article from the UDE News about Prof. Chatti who joined the UDE family in October 2017 to conduct research on the emerging data science field of Learning Analytics.
October 2017 Learning Analytics at UDE and Kyoto University
Prof. Hiroaki Ogata and Dr. Brendan Flanagan from Kyoto University, Japan visited the UDE on October 9-10, 2017. They gave a talk on "Learning Analytics Research in the Context of E-books in Higher Education". Together with our UDE colleagues Prof. Ulrich Hoppe (COLLIDE), Prof. Michael Kerres and Darya Hayit (Learning Lab), we then had at the Learning Lab an interesting discussion on the potential of learning analytics in higher education.