Presentation Panel
Personalised Learning Paths for University Teachers
Date Thursday, Nov 23 Time – Room Chur
This panel discusses various initiatives that use personalised learning in teachers training.
Examples include personalised training on the mental health of researchers and career development using AI-based learning recommendations and online mentoring. An innovative twist emerges with the introduction of a customer service department, managing the expansive realm of learning technologies, offering tailored guidance to lecturers in orchestrating optimal lecturer support.
Jussi-Pekka Järvinen
Head of Training, Educational Technology Services, University of Helsinki, Finland
A digital learning and teaching professional with years of demonstrated experience in the development and management of educational technology use from a pedagogical perspective. Jussi-Pekka holds a Master's Degree in Education from the University of Turku, where he also worked as a university teacher. Jussi-Pekka has worked as the Head of Training and Pedagogical Expert in the EdTech startup Eduten before moving to his current position as the Head of Training at the University of Helsinki's Educational Tecnhology Services unit. Jussi-Pekka and his team develop and train the pedagogical use of educational technology across the University including the use of generative AI in teaching and learning.
Ann-Kathrin Bernards
e-learning specialist, Fraunhofer FIT, Germany
I'm Ann-Kathrin Bernards and I've been working at Learning Center at Fraunhofer FIT for the past three year. During that time, especially during the pandemic, digital learning has been more important than ever, but tricky as well. That's why I started my PhD in the learning science, focusing on personalization of learning, espececially in the context of Large Language Models and how cognitive and affective factors are playing into that.
Gábor Kismihók
Head of Learning and Skill Analytics Lab, TIB – Leibniz Information Centre for Science and Technology and University Library, Germany
Gábor is the head of the Learning and Skill Analytics Lab at the TIB – Leibniz Information Centre for Science and Technology in Hannover, Germany. He has been concentrating his research efforts on the multi-disciplinary area of matching processes between education, labour market, and individuals. Within this field he has been carrying out research on 1) Artificial Intelligence (AI) and (in)formal learning 2), utilising Open Educational Resources (OERs) for upskilling and re-skilling individuals, 3) changing nature of work and its impact on education, 4) role of knowledge and the assessment of knowledge in bridging the education – labour market divide. A major output of these research efforts is eDoer, an open, AI driven learning platform: http://edoer.eu/. List of publications: http://kismihok.hu/
Links
Moderator
John Domingue
Professor of Computer Science, The Open University, United Kingdom
John Domingue is a full Professor of Computer Science at the Knowledge Media Institute, the Open University’s technology Research and Innovation centre, and the President of STI International, a semantics focused networking organization. He has published over 280 refereed articles in the areas of semantics, the Web, distributed ledgers and eLearning.
Prof. Domingue served as the leader of the first of five themes, on University Learners, for the £40M Institute of Coding which aimed to increase the number and diversity of computing graduates in the UK as well as enhancing the connection between university teaching and corporate training. In 2017 Prof Domingue’s research in blockchains and education was referenced in the Joint Research Centre Policy Report Blockchain in Education for the European Commission. Prof. Domingue has given many talks on his work including at the Royal Institution in 2018, at TEDx and most recently featured in THE Campus on interdisciplinary research teams.
The start of 2022 saw a new project to develop smart national educational content platform (VocTeach Platform), embedding the latest AI techniques, to support FE educators was initiated with John Domingue serving as the overall project lead.
In 2019, he became a Fellow of the British Blockchain Association. In 2020, he became an honorary Professor at Amity University.
Links
Using a Hybrid, Human - AI Approach to Enhance Mental Health and Career Management Skills in Academia, Gábor Kismihók
This presentation showcases the OSCAR E+ (Online, open learning recommendations and mentoring towards Sustainable research CAReers) project, which provides researchers, research master students and doctoral training participants with personalised training on researcher mental health and career development using AI-based learning recommendations and online mentoring.
Participants will learn about open education, individualised learning with AI, implementing mentoring networks in online learning environments and will discover innovative perspectives and versatile possibilities for personalised education.
Overcoming the Digital Divide: Empowering Educators through AI-Driven Upskilling with Curre, Jussi-Pekka Järvinen
The digital revolution in higher education highlights the need to upskill educators and align their expertise with modern digital tools. To address this challenge, the Educational Technology Services unit of the University of Helsinki has developed 'Curre,' an AI-driven, user-friendly tool that simplifies the integration of digital technologies into teaching.
Jussi-Pekka Järvinen will show how AI can provide scalable, individualised support to upskill educators, as Curre empowers educators to enhance their teaching methods without extensive tech knowledge, providing them with curated recommendations and tailored instructions.
Learning Technology Exhaustion: Helping the Lecturers Navigate and Survive the Ever Growing Arena of Learning technologies, Franca Jonquiere
TU Delft has created a customer service department to handle the unwieldy scale of learning technologies used by lecturers, which risks education quality, uniformity, and lecturer productivity.
Franca Jonquiere will present their approach and the results achieved, offering recommendations for organising lecturer support, mitigating risks, and improving performance.
Using Digital Nudges To Enhance Metacognition and Skill Development in Adult Learners, Ann-Kathrin Bernards
In today's rapidly evolving digital landscape, the field of education is undergoing a paradigm shift towards personalised learning experiences. With the emergence of new AI tools, individualised digital nudges have become a promising approach to support learners in acquiring new skills and developing metacognitive abilities. By leveraging personalised interventions through digital platforms, we can empower learners to achieve better educational outcomes and foster their metacognitive development.
However, personalisation also comes with potential risks. It is important to consider the underlying psychological mechanisms and ensure that learners are not confined to their comfort zones, potentially missing out on innovative ideas.
The main objective of this talk is to explore the potential of individualised digital nudges. By examining the theoretical foundations, practical applications, and empirical evidence supporting this approach, we aim to provide educators, researchers, and L&D professionals with insights into how to leverage digital nudges for educational advancement.