October 17, 2019

Moderation: Gábor Kismihók (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Stefano Canali (Institute of Philosophy of Leibniz Universität Hannover)

Abstract:

The phrases ‘big data’ is increasingly present in the public sphere, in connection with a certain rhetoric associating increasing volumes of data with revolutionary changes. In this context, the sciences are often mentioned as examples of this revolution. But are the sciences actually undergoing a big data revolution? Why is scientific (big) data something that we should care about? And why should we discuss data from a philosophical standpoint?

Stefano Canali is a post-doc at the Institute of Philosophy of Leibniz Universität Hannover. He has studied Philosophy at the University of Milan, philosophy of science and science and technology studies at University College London and has done his PhD in Hannover. His research is in philosophy of science, with particular focus on the philosophy of biomedicine and the philosophy of data-intensive science.

The presentation video is available at TIB AV-Portal

The presentation slides are available at Zenodo

December 5, 2019

Moderation: Gábor Kismihók (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Abiodun Ogunyemi (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)

Abstract:

Our world continues to change at a fast pace. Machines, humans, interaction, and space continue to change. Technology continues to play a crucial role in our daily life. Humans are a no longer passive consumer of digital systems but co-creators and co-builders. Beyond the system’s interface, we are also operating in an “interspace” inhabited by people, computers, and other devices, in a "complex web of interactions". The human-computer interaction (HCI) field employs a multidisciplinary approach towards designing, evaluating, and implementing interactive systems for human use.  The needs and expectations of the end-users have to be significantly factored into the development of interactive systems. To achieve this, HCI uses techniques borrowed from computer science, psychology, sociology, and ethnology among others to collect, analyze, interpret users' data and incorporate the results in the product design for product creation. At the same time, we are in effect creating new worlds when we create new products. Socio-technical systems development must not only be technically-driven, but must take into account the social context of the process of a product, and service creation. For this reason, the user-centred design approach has become a norm for successful system development. In this presentation, I will share the case of Europeana Media. Europeana Media uses the user-centred design approach to gather user requirements, plan, analyze, design, and evaluate the product.

Abiodun Ogunyemi received his Ph.D. at Tallinn University in the field of Informatics with a core focus on Human-Computer Interaction. He worked for some years as an industry practitioner before moving to academia in 2013. Presently, he works in the lab for Non-textual materials at TIB as a User Researcher/UX studies Specialist on Europeana Media project. His research interests are in human-centred software engineering, measuring impacts of digital transformation, explainable AI, and information retrieval.

The presentation slides are available at Zenodo

February 6, 2020

Moderation: Gábor Kismihók (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Olga Lezhnina (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)

Abstract:

In this presentation, students’ ICT autonomy as a crucially important quality required for effective digitalization of education is discussed. Results of research conducted by Learning and Skill Analytics Research Group (Olga Lezhnina and Gábor Kismihók) on PISA dataset are reported to illustrate the role of ICT autonomy in contemporary education.   

Olga Lezhnina is a research assistant at the TIB, Learning and Skill Analytics Research Group. She had degrees in physics, psychology and learning sciences (LMU Munich). Currently, she applies statistical and machine learning approaches to attitudinal aspects of human-technology interaction in large-scale educational datasets (PISA).

The presentation slides are available at Zenodo

April 2, 2020

Moderation: Gábor Kismihók (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Anna Kosmützky (Leibniz Center of Science and Society (LCSS) at the Leibniz University Hannover)

Abstract:

In my talk, I will focus on the spatial dynamics and development of the MOOC providers from a macro-perspective. Based on a multi-level conception of spatial dynamics and a panel data set (2011-2017), I will show that the “MOOC market” is – other than initially hoped and expected – not a fully open digital higher education landscape but instead has expanded worldwide driven to a large extent by national higher education strategies. It thus has a nested two-level spatial structure both on a global scale and within many national higher education systems. The results should provide a fruitful starting point for discussing the relationship between digitalization and local institutional embedding of higher education. 

Anna Kosmützky is a sociologist and professor for the “Methodology of Higher Education and Science Research” at the Leibniz Center of Science and Society (LCSS) at the Leibniz Universität Hannover and director of the center. Her research comprises higher education research, science research, and organizational studies and focusses on the methodology of comparative research, globalization, and transnationalization processes in higher education (and beyond) as well as institutional and organizational change of higher education and research organizations. She conducted a research project on Massive Open Online Course (MOOC) providers from 2017-2019. 

The presentation video is available here and the slides are available at Zenodo

June 4, 2020

Moderation: Gábor Kismihók (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)
Grischa Fraumann (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)

Abstract:

This talk will present outcomes of the BMBF-funded project "Reference implementation for Open Scientometric Indicators" (ROSI).

Grischa Fraumann is a Research Assistant at TIB Leibniz Information Centre for Science and Technology in the Open Science Lab. He obtained the Erasmus Mundus Joint Master’s Degree in Research and Innovation in Higher Education (MARIHE) from Danube University Krems, University of Tampere and Beijing Normal University. Prior to his master’s, he completed his undergraduate degree in Hispanic Studies, Sociology and History at the University of Mannheim and the University of Deusto in Bilbao. His research interests include altmetrics, higher education research and research policy.

The presentation slides are available at  Zenodo

May 20, 2021

Moderation: 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.

The presentation slides are available at Zenodo

December 10, 2020

Anett Hoppe (Technische Informationsbibliothek (TIB) - Leibniz Information Centre for Science and Technology)

Abstract:

Learners increasingly rely on the Web to find and explore new learning resources. Researching how to best support them, and to lead them towards suitable, high-quality Web contents is a highly interdisciplinary endeavour: There is a rich body on how humans learn in psychology and educational sciences; social sciences might provide insights in how collaborative processes come into play in online courses; information and computer science studies how information is best represented and retrieved.

The talk explores insights gained during the interdisciplinary research project SALIENT on learning during Web search (or "Search as Learning" as it is often termed in computer science). One of the project's work packages targets the creation of a theoretical framework which integrates and reconciles theories and models from the involved domains and which was developed in close collaboration of psychologists, social and computer scientists. The objective is to provide a common ground for discussion: What are the actors in the search as learning process? How are they described by the different disciplines? Where do the points of interaction of different disciplinary theories and frameworks lie, and how can those interfaces be mitigated?

While work is still being in progress, we report on a first version of the theoretical framework and the challenges and insights of the creation process.

Anett Hoppe, PhD, is a postdoctoral researcher at the Leibniz Information Centre for Science and Technology (TIB) at Hanover. She researches technologies and methods for adaptive, multimodal learning support (amongst others in the interdisciplinary research projects iOCW, Salient  and LernMINT ); with a focus on learning with videos and the usage of user modelling approaches and machine learning for this application area. She publishes on these topics and is actively involved in the organisation of topically related scientific events, such as the workshops SALMM at ACM Multimedia'19 and IWILDS at CIKM'20.

January 21, 2021

Moderation: Gábor Kismihók (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.

The presentation slides are available at Zenodo

February 18, 2021

Moderation: 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.