Structured Incentive Learning: Pedagogical Tips and Tool for Better Teaching and Learning
– Pedagogical Seminar at EECS
Tid: To 2018-10-11 kl 12.15
Föreläsare: David Broman
Plats: sal C, Elektrum, Kista, sal U61, Brinellvägen 28A, Campus Valhallavägen.
Welcome to room U61, Brinellvägen 28A, Campus Valhallavägen for the seminar. In room C, Elektrum, Kista, you can participate via video link.
Teaching is not about transferring knowledge magically to students using one-way communication. As teachers, we can help students to learn by giving guidance and providing learning activities that enable students to learn from their own knowledge framework. It is also vital that courses fit together, that is, that learning objectives, teaching activities, and assessments are aligned. These are all great and well-established theories about learning, but how do we do this in practice? In this talk, I will provide tips, tools, and lessons learned based on my experience of teaching courses at Bachelor’s level, Master’s level, and doctoral level. I will talk about key components to what can be called structured incentive learning. In this approach, the structure of a course plays a key role and the student’s incentive for learning is in focus. As a teacher, my hope is that you (as another teacher) will learn something new, be provoked, or just get some new insights and inspiration.
David Broman is an Associate Professor at the KTH Royal Institute of Technology in Sweden, where he is leading the Model-based Computing Systems (MCS) research group. Between 2012 and 2014, he was a visiting scholar at the University of California, Berkeley, where he also was employed as a part time researcher until 2016. David received his Ph.D. in Computer Science in 2010 from Linköping University, Sweden, and was appointed Assistant Professor there in 2011. He earned a Docent degree in Computer Science in 2015. His research focuses on model-based design of time-aware systems, including cyber-physical systems, embedded systems, and real-time systems. In particular, he is interested in programming and modeling language theory, formal semantics, compilers, and machine learning. David has received an outstanding paper award at RTAS (co-authored 2018), the award as teacher of the year, selected by the student union at KTH (2017), the best paper award at IoTDI (co-authored 2017), awarded the Swedish Foundation for Strategic Research's individual grant for future research leaders (2016), and the best paper presentation award at CSSE&T (2010). He has worked several years within the software industry, co-founded three companies, co-founded the EOOLT workshop series, and is a member of IFIP WG 2.4, Modelica Association, and a senior member of IEEE.