Presentation slides and videos from all seminars are available under the abstract of each seminar below. The video series is available here.

 

January 21, 2021

14:00 - 15:00 SIDDATA – Joint project for Individualization of Studies through Digital, Data-Driven Assistants

Moderator: Kismihók Gábor (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Michael H. Breitner (Leibniz Universität Hannover Institut für Wirtschaftsinformatik), Claudia M. König (Leibniz Universität Hannover - Institut für Wirtschaftsinformatik), Christin Karrenbauer (Leibniz Universität Hannover - Institut für Wirtschaftsinformatik), Tim Brauner (Leibniz Universität Hannover - Institut für Wirtschaftsinformatik)

 

Abstract:

Our interdisciplinary research project “SIDDATA”, BMBF funded 2018 – 2022 (applied until 10/2024), examines how today’s students can be digitally supported to achieve individual study goals. Student self-regulation and motivation is necessary to set goals and to check their achievements with self-monitoring. We discuss our Digital, Data-Driven Assistant: Requirements engineering based on interviews and status quo analyses, system architecture (Python backend system, Stud.IP frontend, interfaces, personal data protection) and LUH go-live and test of Prototype 2 in January 2021. We use data from student life cycle and learning management systems (HIS-QIS/LSF, Stud.IP) and from individual, structured dialogues with a student. E.g., we recommend lectures including OER and imports from other universities, study finance and career opportunities, learning teams, semesters abroad or second and third level human support. Thus, our Digital, Data-Driven Assistant enables efficient first-level student support with automation and digital transformation of support processes. Finally, we discuss our research agenda for Prototype 3 (to be introduced 2021) and Prototype 4 (to be introduced 2023, if funded), which, e.g., will use Natural Language Processing (NLP) in an advanced chatbot and advanced data analytics tools. We further will suggest similar student assistant applications, e.g., in the LUH international office supporting incoming students.

Prof. Dr. Michael H. Breitner is head of the Institut für Wirtschaftsinformatik since 2002. His research competences include Information Systems and Management in general, specifically Higher Education Institutions IT, Electronic and Mobile Learning, Chatbots, Software Engineering, Decision Support Systems, and Optimization. Dr. Claudia M. König has a leading position in the SIDDATA project. Her research interest are focused on human-machine communication, user-centric design of Information Systems and requirements engineering. Christin Karrenbauer and Tim Brauner are both Ph.D. candidates working in the SIDDATA project responsible for backend development (Python), feature design and implementation including Stud.IP interfaces, data analytics, and international status quo and literature reviews.

 

February 18, 2021

14:00 - 15:00 Personalized, Open Educational Content Recommendation to Support Career Development

Moderator: Gábor Kismihók (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Mohammadreza Tavakoli (Joint Lab of TIB and research center L3S)

 

Abstract:

This research departs from the recent, dramatic changes in global societies, forcing many citizens to re-skill themselves to (re)gain employment. Therefore, learners need to be informed about the skills they need to achieve towards their current/future jobs. Subsequently, high-quality, personalized educational content and services are also essential to serve this high demand for learning. Free and Open Educational Resources can play a key role in this regard, as they are available in a wide range of learning and occupational contexts globally. However, their applicability has been limited, due to low metadata quality and complex quality control. These issues resulted in a lack of personalised functions, like recommendation and search. Accordingly, we suggest a personalised Open Educational Content Recommendation method to match skill targets with free/open learning content. This is done by: 1) using a quality prediction model for educational resources based on their metadata, properties, and content; 2) supporting learners to set their skill targets according to the labour market information, and 3) building a personalized OER recommender to help learners to master their skill targets.

Mohammadreza Tavakoli is a Researcher PhD student in the Joint Lab of the TIB and the Research Center L3S and works on bridging labour market and education in the Learning and Skill Analytics group. In his project, he matches between jobs and skills to provide personalised educational recommendation for learners in order to help them achieve the required skills according to their target jobs. He has an M.Sc. in Computer Science from Sharif University of Technology, Tehran, Iran. During his Master, he focused on User Behaviour Analysis in the most popular Question and Answer website for programmers, called Stack Overflow, and also, was a teaching assistant for multiple courses at Sharif University. Before joining L3S and the TIB, he was a team leader and data scientist at Digikala (the biggest E-Commerce in the middle east) where he analysed customer behaviours.

 

April 29, 2021

14:00 - 15:00 Reflections of the COVID-19 Semester(s) – Short- and long-term effects

Moderator: Kismihók Gábor (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Imke Jungermann (HIS-HE)

 

Abstract:

As an institution of the 16 federal states of Germany, the HIS Institute for Higher Education Development e.V. (HIS-HE) carries out consulting and research projects on behalf of policymakers and higher education institutions, but also conducts own studies on current issues of higher education development. Regarding the pandemic-related restrictions and the following short-term effects in higher education teaching and learning, HIS-HE focused a broad range of perspectives in the BMBF-funded "Expert Survey Digital Summer Semester" (EDiS). Another survey among university managers adressed the preparations of (digital) teaching in the winter semester 2020/21 and further expectations for (digital) higher education. Results from these studies as well as complementary study outcomes from the current winter semester will be presented and potential long-term implications discussed.

Imke Jungermann is a consultant and project manager in the University Management Division of the HIS Institute for Higher Education Development (HIS-HE). She supports higher education institutions with consulting services with a focus on the digital transformation at universities in teaching, learning and administration.

June 10, 2021

14:00 - 15:00 tba

Kismihók Gábor (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)

 

Abstract: Tba

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