Dr. Ilona Buchem is Professor for Communication and Media at Berlin University of Applied Sciences Berlin, Faculty of Economics and Social Sciences, She teaches courses in bachelor’s and master’s programs, both on campus and online, including Digital Business (BSc.) and Media Informatics (MSc.). As the Head of the Communications Lab, Ilona Buchem leads a number of projects on the application of humanoid robots as learning and teaching assistants in the context of higher education. Ilona Buchem is an author of many publications in the field of Technology-Enhanced Learning (TEL) and has been involved in many national and international TEL projects, dedicated to topics such as Open Badges, Wearables, Virtual Agents, Gamification, Virtual Mobility, Open Education, Mobile Learning, E-Portfolios and Personal Learning Environments. She is the founder and one of the Chairs of the Special Interest Group on Wearable Enhanced Learning (WELL) at the European Association for Technology Enhanced Learning (EATEL). Ilona Buchem has been actively involved in some of the leading TEL organizations in Europe, including the European Association for Technology Enhanced Learning (EATEL), the European Distance and E-Learning Network (EDEN) and the European Association of Distance Teaching Universities (EADTU).
Topic: Designing Interaction with Humanoid Robots as Teaching and Learning Assistants
Abstract: Humanoid robots, such as Nao, Pepper, iCub, QT, Navel and many others have just recently started to be used in higher education. Currently available humanoid robots provide multimodal interfaces which allow design for human-robot interaction through speech, touch, gestures, face recognition and eye gaze. Current research on applying humanoid robots in education as part of the field of robot assisted learning provides some promising evidence for enjoyable learning experiences and enhanced learning outcomes of diverse groups of learners. This talk will provide an overview of how humanoid robots are applied as teaching and learning assistants including examples from own research at the Communication Lab. Specifically, this talk will focus on the design process and design options for human-robot interaction in different application scenarios. The talk will also address some limitations and challenges inherent to the currently available humanoid robotic platforms. The talk will end with an interactive part in the form of crowd-creation, in which the audience will participate in the joint creation of a playful human-robot interaction
Dr. Bart Rienties is Professor of Learning Analytics and programme lead of the learning analytics and learning design research programme at the Institute of Educational Technology at the Open University UK. He leads a group of academics who provide university-wide learning analytics and learning design solutions and conduct evidence-based research of how students and professionals learn. His primary research interests are focussed on Learning Analytics, Professional Development, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects, and has received a range of awards for his educational innovation projects. He has published over 285 academic outputs, and is the 2nd most published author on Networks in Education in period 1969-2020 (Saqr et al. 2022), the 3rd most cited author on higher education internationalisation in Asia in the period 2013-2018 (Can & Hou, 2021), the 4th most cited author and contributor in Learning Analytics in the period 2011-2018 (Adeniji, 2019), the 5th most published author on internationalisation in the period 1900-2018 (Jing et al. 2020) and the 7th most published author on social network analysis in social sciences in the period 1999-2018 (Su et al. 2020), and the 14th most published author on educational technology in the period 2015-2018 (West & Bodily, 2020).
Topic: How can you use learning analytics in your own research and practice: an introductory perspective
While many “brick-and-mortar” universities had to rapidly shift online provision during the pandemic, a range of online and distance learning universities have been teaching in blended and online formats for years. Obviously with every single click potentially interesting data might become available about how and perhaps why learners are engaging with learning materials and activities. A blossoming field of learning analytics has emerged since 2011 trying to make sense of these increased data flows. The Open University UK (OU) has been trailblazing innovative learning across the globe for 50 years. Since 2014 the OU has gradually moved from small-scale experimentation to large-scale adoption of learning analytics throughout all 400+ modules and qualifications available within the OU for its 170.000+ online learners.
This keynote will explore how you as researcher, practitioner, and/or policy maker could start to use learning analytics to better understand your educational practice. Using examples from small-scale experiments and large-scale adoptions of predictive learning analytics I will explore together with EDEN RW participants which approaches and methods in learning analytics might be useful to consider. No prior knowledge or experience of learning analytics is expected, and join me on a journey of how you could potentially use data from your learners and teachers to further improve and finetune your blended and online provision.
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