Forsidebilde av showet Bridges and Bytes

Bridges and Bytes

Podkast av Bridges and Bytes

engelsk

Teknologi og vitenskap

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Les mer Bridges and Bytes

Welcome to the Bridges and Bytes Podcast, from the UCD College of Engineering and Architecture.Season 1 is a six-part series on the 'Student Voice on AI and Assessment'. Each episode was produced and hosted by groups of UCD Engineering and Architecture Students, and covers a different types of assessment. The Season is topped and tailed with a trailer and a review episode.CreditsThis season was supported by an award by the UCD Faculty Partnership Programme to Jennifer Keenahan and Mairead O'Reilly.Directed, Produced, Recorded and Edited by Mairead O'Reilly.Student Liaison and Production Operations: Jennifer Keenahan.Recorded in Daedalus Media Suite at University College Dublin.Special thanks to Leigh Wolfe, Geraldine O'Neill, Allen Higgens, Joe Houghton, Lollie Mancey for guidance and support.Photographs: Vincent HobanMusic: Tu eres mi musa (New World Polka) by spinningmerkaba (c) copyright 2024 Licensed under a Creative Commons Attribution Noncommercial (4.0) license. https://dig.ccmixter.org/files/jlbrock44/67858 Ft: urmymuse Hosted on Acast. See acast.com/privacy for more information.

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8 Episoder

episode 6. Individual Assignments cover

6. Individual Assignments

This episode explores the blurred lines between using AI as a helpful tool for research and crossing into plagiarism in individual assignments. On one hand, AI can streamline research and enhance learning but also raises concerns about diminishing critical thinking and the risk of over-reliance. Hosts: Bharath Radharkrishnan, Harinee Shanmugam and Xinzhi Zhang (Masters in Manufacturing) Producer: Derin Gurman – Masters Data Science and AI As part of the research for this episode, interviews were conducted with Dr. Di Nguyen and Professor Joe Houghton. Don't forget to like, share and subscribe! Rudolph, J., Tan, S. and Tan, S., 2023. ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of applied learning and teaching, 6(1), pp.342-363. Vittorini, P., Menini, S. and Tonelli, S., 2021. An AI-based system for formative and summative assessment in data science courses. International Journal of Artificial Intelligence in Education, 31(2), pp.159-185. How can artificial intelligence assist teachers with formative and summative assessment? (2023) Available at: https://school-education.ec.europa.eu/en/insights/news/how-can-artificial-intelligence-assist-assessment#:~:text=Teachers%20can%20use%20artificial%20intelligence,time%20spent%20on%20grading%20tasks. (Accessed: 18 April 2024). ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

25. nov. 2024 - 23 min
episode 5. Reflective Assignments cover

5. Reflective Assignments

This episode examines the unique power of reflective assignments (journals, logs diaries), which, when done properly, require the genuine thoughts and feelings of students—something AI can’t truly replicate. However, the discussion also acknowledges the risk of AI being used to craft reflections. Listen in for a nuanced exploration of how reflection fosters critical thinking and how oral presentations may help preserve academic integrity in the AI era. Hosts: Joe Biju, Ali Khan and Moaz Refaei (Stage 1 General Engineering) Producers: Anrai Lawlor and Ray Fosal (Stage 1 General Engineering) As part of the research for this episode, interviews were conducted with Dr. Paul Cuffe, an Assistant Professor at UCD, and Aldan Creo, a technology research specialist at Accenture Labs in Dublin. Jaiswal, A. et al. (2021) ‘Supporting student reflective practices through modelling-based learning assignments’, European Journal of Engineering Education, 46(6), pp. 987–1006. doi: 10.1080/03043797.2021.1952164. Don't forget to like, share and subscribe! ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

11. nov. 2024 - 24 min
episode 4. Group Projects cover

4. Group Projects

This episode explores how AI is changing group projects and assessments. We discuss tools like Otter.ai and Thesify.ai, which can enhance collaboration but also pose challenges in maintaining authentic student work. Tune in to learn how AI impacts the dynamics of group assignments and what it means for the future of university assessments. Hosts and Writers: Amy Lawrence (Stage 4 Structural Engineering) and Palakshi Rattan (Stage 4 Elec Engineering) Producer: Ashly Antony - Masters in Sustainable Technology Production Coordinator: Anirudh Krishnamurthysurya - Masters in Food Engineering Don't forget to like, share and subscribe! Resources: Otter.ai [https://otter.ai/home] - A tool used for recording and transcribing meetings, which can be helpful in group projects. [https://otter.ai] Thesify.ai [https://www.thesify.ai/] - A tool that assists in generating work plans, structuring papers, and evaluating them, particularly useful for group work. [https://www.thesify.ai] Notion [https://www.notion.so/] - An organisational tool that includes AI features for summarising data, brainstorming, and tracking participation in group projects. [https://www.notion.so] Tom's Planner [https://www.tomsplanner.com/] - An AI tool that generates Gantt charts for project management. [https://www.tomsplanner.com] ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

29. okt. 2024 - 27 min
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