Vidminas Vizgirda BSc (Hons), AFHEA
Hi 👋😊! I'm Vidminas (most people call me Vid) and I am a PhD student in the Institute of Language Cognition and Computation at the University of Edinburgh. My supervisor is Fiona McNeill.
I am looking for ways to improve search for educational resources of all kinds, so that teachers in schools across the world can reuse each others' work instead of creating their own materials all the time.
Originally, I come from Lithuania, although I grew up in Luxembourg and moved to Edinburgh for my undegraduate degree in computer science and management science. I am always keen to chat about teaching and machine learning applications in education, feel free to get in touch!
You can find out more about my background on my LinkedIn profile.
[2021-.] Facilitating Discoverability of Educational Resources in Schools in ScotlandPhD Thesis
This project is about investigating the needs and challenges of primary and secondary school teachers in Scotland involved in finding, using, and sharing educational resources online. The first exploratory stage involves interviews with primary and secondary school teachers, teacher trainees, and other school staff to define the processes involved and how these processes are situated in teachers’ work context. The second stage will be a review of existing tools that facilitate these tasks. Thirdly, iterative design and prototype evaluation studies will be carried out to experiment with potential improvements to online resource discoverability. This project is largely building on the previous work Supporting the Discoverability of Open Educational Resources: On the Scent of a Hidden Treasury (2019).
 ‘You are you and the app. There’s nobody else.’: Building Worker-Designed Data Institutions within Platform HegemonyJake M L Stein, Vidminas Vizgirda, Max Van Kleek, Reuben Binns, Jun Zhao, Rui Zhao, Naman Goel, George Chalhoub, Wael S Albayaydh, and Nigel Shadbolt. 2023. ‘You are you and the app. There’s nobody else.’: Building Worker-Designed Data Institutions within Platform Hegemony. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany. ACM, New York, NY, USA, 26 pages.
DOI: 10.1145/3544548.3581114 Information asymmetries create extractive, often harmful relationships between platform workers (e.g., Uber or Deliveroo drivers) and their algorithmic managers. Recent HCI studies have put forward more equitable platform designs but leave open questions about the social and technical infrastructures required to support them without the cooperation of platforms. We conducted a participatory design study in which platform workers deconstructed and re-imagined Uber's schema for driver data. We analyzed the data structures and social institutions participants proposed, focusing on the stakeholders, roles, and strategies for mitigating conflicting interests of privacy, personal agency, and utility. Using critical theory, we reflected on the capability of participatory design to generate bottom-up collective data infrastructures. Based on the plurality of alternative institutions participants produced and their aptitude to navigate data stewardship decisions, we propose user-configurable tools for lightweight data institution building, as an alternative to redesigning existing platforms or delegating control to centralized trusts.
 GO-GN Open Research HandbookFarrow, Robert; Weller, Martin; Pitt, Rebecca; Iniesto, Francisco; Algers, Anne; Almousa, Samia; Baas, Marjon; Bentley, Penny; Bozkurt, Aras; Butler, Walter; Cardoso, Paula; Chtena, Natascha; Cox, Glenda; Czerwonogora, Ada; Dabrowski, Michael T.; Darby, Robert; DeWaard, Helen; Kathy, Essmiller; Johanna, Funk; Jenni, Hayman; Emily, Helton; Huth, Kate; Hutton, Sarah C.; Iyinolakan, Olawale; Johnson, Kathryn R.; Jordan, Katy; Kuhn, Caroline; Lambert, Sarah; Mittelmeier, Jenna; Nagashima, Tomo; Nerantzi, Chrissi; O'Reilly, Jessica; Paskevicius, Michael; Peramunugamage, Anuradha; Pete, Judith; Power, Virginia; Pulker, Hélène; Rabin, Eyal; Rets, Irina; Roberts, Verena; Rodés, Virginia; Sousa, Lorena; Spica, Elizabeth; Vizgirda, Vidminas; Vladimirschi, Viviane and Witthaus, Gabi (2023). The Go-GN Open Research Handbook. Milton Keynes: Global OER Graduate Network.
The GO-GN Open Research Handbook | Open Research Online This Handbook draws together work done between 2020 and 2023 by members of the Global OER Graduate Network (GO-GN). GO-GN is a network of PhD candidates around the world whose research projects include a focus on open education.
 GO-GN Research Review 2022Farrow, R., Baas, M., Cardoso, P., Cox, G., Czerwonogora, A., DeWaard, H., Essmiller, K., Helton, E., Huth, K., Iniesto, F., Johnson, K. R., Peramunugamage, A., Pitt, R., Sousa, L., Vizgirda, V. and Weller, M. (2022). GO-GN Research Review 2022. Global OER Graduate Network
Research Review 2022 | GO-GN This report summarises some state-of-the-art research relevant to open educational resources (OER) and open educational practices (OEP) that was published recently. The reviews of these articles were written by doctoral and post-doctoral researchers who work in relevant fields and are members of the Global OER Graduate Network (GO-GN).
[2020-21] Fill in the World: gamification in children's online language learningBSc Computer Science and Management Science (Honours) Project
Archived report List of 2020-21 outstanding informatics projects Archived data [DOI: 10.7488/ds/3034] This project is about the design, implementation, and evaluation of “Fill In The World” – a gamified language learning application for primary school children. The game allows children to learn English vocabulary through creative and collaborative exploration, unlike any of the explored existing applications. Following usability evaluation, it was established that the game still needs to be improved and extended before it could be implemented in classrooms or used for research about the effectiveness of individual gamification elements.