IT University of Copenhagen sitecore@itu.dk https://video.itu.dk en-us Visualplatform http://blogs.law.harvard.edu/tech/rss IT University of Copenhagen Stay up to date with all the things that are happening at IT University of Copenhagen. This podcast will serve you various videos and audios with accounts from scientists and actual students at IT University, and give you a glimpse into their... episodic no https://video.itu.dk/files/rv0.0/sitelogo.gif https://video.itu.dk http://video.itu.dk/photo/94494258/the-robots-are-here-navigating-the <p>SPEAKER:<br> - Brett Becker, University College Dublin<p></p> <p>Abstract:<br> Recent breakthroughs in deep learning have led to the emergence of generative AI models that exhibit extraordinary performance at producing human-like outputs. Using only simple input prompts, it is possible to generate novel text, images, video, music, and source code, as well as tackle tasks such as answering questions and translating and summarising text. However, the potential for these models to impact computing education practice is only just beginning to be explored. For example, novices learning to code can now use free tools that automatically suggest solutions to programming exercises and assignments; yet these tools were not designed with novices in mind and little to nothing is known about how they will impact learning. Furthermore, much attention has focused on the immediate challenges these models present, such as academic integrity concerns. It seems that even in the AI-era a pending apocalypse sells better than a promising renaissance. Generative AI will likely play an increasing role in people’s lives in the reasonably foreseeable future. Model performance seems set to continue accelerating while novel uses and new possibilities multiply. Given this, we should devote just as much effort to identifying and exploiting new opportunities as we do to identifying and mitigating challenges. In this talk, we begin by discussing several concrete and research-backed opportunities for computing educators. Many of these have already shown great promise in positively impacting current practice. We then discuss more short- to medium-term possibilities in areas such as student recruitment, and curricular changes. Finally – against our better judgement – we speculate over the longer-term, including rethinking the very fundamentals of the practice of teaching introductory and advanced computing courses. In these discussions we suggest potential research questions and directions. Although making remotely accurate predictions in such a fast-changing landscape is foolhardy, we believe that now is the time to explore and embrace opportunities to help make positive change in as many computing classrooms as possible.</p> <p>When:<br> Thursday, February 8, 2024 at 14:00 CET</p> <p>Organized by:<br> CCER &amp; Computer Science Lectures at IT University of Copenhagen (ITU)</p></p><p><a href="http://video.itu.dk/photo/94494258/the-robots-are-here-navigating-the"><img src="http://video.itu.dk/64968570/94494258/0930a653c6adebbec79a17ab38294844/standard/download-12-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/94494258 Mon, 12 Feb 2024 14:27:39 GMT The Robots are Here: Navigating the Generative AI Revolution in Computing... SPEAKER: - Brett Becker, University College Dublin Abstract: Recent breakthroughs in deep learning have led to the emergence of generative AI models that exhibit extraordinary performance at producing human-like outputs. Using only simple input prompts, it is possible to generate novel text, images, video, music, and source code, as well as tackle tasks such as answering questions and translating and summarising text. However, the potential for these models to impact computing education practice is only just beginning to be explored. For example, novices learning to code can now use free tools that automatically suggest solutions to programming exercises and assignments; yet these tools were not designed with novices in mind and little to nothing is known about how they will impact learning. Furthermore, much attention has focused on the immediate challenges these models present, such as academic integrity concerns. It seems that even in the AI-era a pending apocalypse sells better than a promising renaissance. Generative AI will likely play an increasing role in people’s lives in the reasonably foreseeable future. Model performance seems set to continue accelerating while novel uses and new possibilities multiply. Given this, we should devote just as much effort to identifying and exploiting new opportunities as we do to identifying and mitigating challenges. In this talk, we begin by discussing several concrete and research-backed opportunities for computing educators. Many of these have already shown great promise in positively impacting current practice. We then discuss more short- to medium-term possibilities in areas such as student recruitment, and curricular changes. Finally – against our better judgement – we speculate over the longer-term, including rethinking the very fundamentals of the practice of teaching introductory and advanced computing courses. In these discussions we suggest potential research questions and directions. Although making remotely accurate predictions in such a fast-changing landscape is foolhardy, we believe that now is the time to explore and embrace opportunities to help make positive change in as many computing classrooms as possible. When: Thursday, February 8, 2024 at 14:00 CET Organized by: CCER Computer Science Lectures at IT University of Copenhagen (ITU) SPEAKER: - Brett Becker, University College Dublin Abstract: Recent breakthroughs in deep learning have led to the emergence of generative AI models that exhibit extraordinary performance at producing human-like outputs. Using only simple input... IT University of Copenhagen 41:06 <p>SPEAKER:<br> - Brett Becker, University College Dublin<p></p> <p>Abstract:<br> Recent breakthroughs in deep learning have led to the emergence of generative AI models that exhibit extraordinary performance at producing human-like outputs. Using only simple input prompts, it is possible to generate novel text, images, video, music, and source code, as well as tackle tasks such as answering questions and translating and summarising text. However, the potential for these models to impact computing education practice is only just beginning to be explored. For example, novices learning to code can now use free tools that automatically suggest solutions to programming exercises and assignments; yet these tools were not designed with novices in mind and little to nothing is known about how they will impact learning. Furthermore, much attention has focused on the immediate challenges these models present, such as academic integrity concerns. It seems that even in the AI-era a pending apocalypse sells better than a promising renaissance. Generative AI will likely play an increasing role in people’s lives in the reasonably foreseeable future. Model performance seems set to continue accelerating while novel uses and new possibilities multiply. Given this, we should devote just as much effort to identifying and exploiting new opportunities as we do to identifying and mitigating challenges. In this talk, we begin by discussing several concrete and research-backed opportunities for computing educators. Many of these have already shown great promise in positively impacting current practice. We then discuss more short- to medium-term possibilities in areas such as student recruitment, and curricular changes. Finally – against our better judgement – we speculate over the longer-term, including rethinking the very fundamentals of the practice of teaching introductory and advanced computing courses. In these discussions we suggest potential research questions and directions. Although making remotely accurate predictions in such a fast-changing landscape is foolhardy, we believe that now is the time to explore and embrace opportunities to help make positive change in as many computing classrooms as possible.</p> <p>When:<br> Thursday, February 8, 2024 at 14:00 CET</p> <p>Organized by:<br> CCER &amp; Computer Science Lectures at IT University of Copenhagen (ITU)</p></p><p><a href="http://video.itu.dk/photo/94494258/the-robots-are-here-navigating-the"><img src="http://video.itu.dk/64968570/94494258/0930a653c6adebbec79a17ab38294844/standard/download-12-thumbnail.jpg" width="75" height=""/></a></p> #AI CCER CS Education generative http://video.itu.dk/photo/77232030/peoplevsthingsmp4 <p>Computing Educational Programmes with more Women are more about PEOPLE &amp; less about THINGS<p></p> <p>A paper by Pawel Grabarczyk, Alma Rosager Freiesleben, Amanda Marie Spangenberg Bastrup, Claus Brabrand. 2022.<br> CCER</p></p><p><a href="http://video.itu.dk/photo/77232030/peoplevsthingsmp4"><img src="http://video.itu.dk/64968571/77232030/0b1d89b4bf87c48e5502522bf2abb87b/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> http://video.itu.dk/photo/77232030 Wed, 24 Aug 2022 11:12:57 GMT peopleVSthings.mp4 Computing Educational Programmes with more Women are more about PEOPLE less about THINGS A paper by Pawel Grabarczyk, Alma Rosager Freiesleben, Amanda Marie Spangenberg Bastrup, Claus Brabrand. 2022. CCER Computing Educational Programmes with more Women are more about PEOPLE less about THINGS A paper by Pawel Grabarczyk, Alma Rosager Freiesleben, Amanda Marie Spangenberg Bastrup, Claus Brabrand. 2022. CCER IT University of Copenhagen 59:17 <p>Computing Educational Programmes with more Women are more about PEOPLE &amp; less about THINGS<p></p> <p>A paper by Pawel Grabarczyk, Alma Rosager Freiesleben, Amanda Marie Spangenberg Bastrup, Claus Brabrand. 2022.<br> CCER</p></p><p><a href="http://video.itu.dk/photo/77232030/peoplevsthingsmp4"><img src="http://video.itu.dk/64968571/77232030/0b1d89b4bf87c48e5502522bf2abb87b/standard/download-8-thumbnail.jpg" width="75" height=""/></a></p> ccer cs education