Adapting the Studio Based Learning Methodology to Computer Science Education
Paula Alexandra Silva,
Maynooth University –
Recent research projects have depicted Studio-Based Learning as a successful approach to teaching computer science students. This talk will describe using Studio-Based Learning as a pedagogical approach in an online introductory Computer Science 1 (CS1) course. The studio-based instructional model emphasizes learning activities in which students (a) construct personalized solutions to assigned computing problems, and (b) present solutions to their instructors and peers for feedback and discussion within the context of design critiques. For SBL to be effective, assignments to be critiqued must be solvable by a variety of thinking paths. Building upon the identification of students’ most frequent programming errors, we implemented SBL sessions and analyzed the impacts compared to sessions that did not employ the SBL methodology. The online nature of this class allowed for a rich collection of data and the integral recording of the sessions. In addition to the students’ performance, motivation and perception of their learning process, the analysis of this data provided insight into students’ thought processes.
Paula Alexandra Silva is a Human-Computer Interaction researcher and practitioner, who focuses on designing user interfaces for older adults. She is also a passionate teacher and has lectured on HCI-related courses. Currently, she is a lecturer in Design Innovation at the Department of Design Innovation in Maynooth University, Ireland. She has held appointments at a number of Universities and has more than 10 years of experience teaching a diversity of courses and supervising students. Paula Alexandra Silva is interested in user experience for everyday life and common good and in conducting research that focuses on designing for special target audiences. She is currently compelled by: design and evaluation of user interfaces for older adults, touch and gestures, games and gamification, well-being, creativity and innovation.
Date: 2017-Nov-22 Time: 12:00:00 Room: Room 2.10 – IST Taguspark
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OLISSIPO Twin Seminar III
We are happy to announce the next OLISSIPO Twin Seminar on Computational Biology – Protein driven machine learning and network approaches for precision medicine – which will take place online on 10 February 2022, 13:00-14:30 (WEST – Lisbon) / 14:00-15:30 (CEST). This seminar will be delivered by Emanuel Gonçalves (INESC-ID and Instituto Superior Técnico) and Pedro Beltrão (ETH Zürich), and chaired by Thomas Naake (EMBL).
OLISSIPO – Fostering Computational Biology Research and Innovation in Lisbon – is an international research project funded by the European Commission within its H2020 Research and Innovation programme, and aims to enhance the competences in Computational Biology at INESC-ID and – though its strong link to Instituto Superior Técnico / Universidade de Lisboa – to create an international pole of excellence in multi-disciplinary science in Portugal. OLISSIPO is coordinated by Susana Vinga, INESC-ID researcher and member of its Board of Directors, as well as Associate Professor at Instituto Superior Técnico.
The Twin Seminars contribute to disseminate the scientific work and expertise of INESC-ID and all the Consortium that includes Inria, ETH Zürich and EMBL. These seminars comprise two short presentations, one researcher from Lisbon and one from a twin international institution working on similar topics in Computational Biology, and are open to anyone interested in computational biology.
For more details on this Twin Seminar, please check out this link.
ZOOM link: https://videoconf-colibri.zoom.us/j/87272445544.
No password or registration will be needed for this session.