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ACM SIGCSE Journal Club

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PedagogyCaitlin KelleherCHIGTAUTAComputer and Information Sciences
Published

Teaching Assistants (both undergraduate UTA’s and graduate GTA’s) are crucial to enable teaching and learning in higher education. How can we make their jobs easier using automatic code corrections? Join us on Monday 1st August at 2pm to discuss via a paper recently published at CHI by Yana Malysheva and Caitlin Kelleher. [1] All welcome, details at sigcse.cs.manchester.ac.uk/join-us. Thanks to Sarah Clinch for nominating this months paper.

Artificial Intelligence,Computer ScienceProgramming LanguagesSoftware EngineeringAiComputer and Information Sciences
Published

Automatic code generators have been with us a while, but how do modern AI powered bots perform on introductory programming assignments? Join us to discuss the implications of the OpenAI Codex on introductory programming courses on Monday 4th July at 2pm BST. We’ll be discussing a paper by James Finnie-Ansley, Paul Denny, Brett A. Becker, Andrew Luxton-Reilly and James Prather [1] for our monthly SIGCSE journal club meetup on zoom.

Programming LanguagesAtomBohrEquationHello WorldComputer and Information Sciences
Published

print(’Hello World!’) is all very well but it doesn’t help physics students solve the Schrödinger equation. Join us for our next journal club meeting on Monday 13th June at 2pm BST where we’ll be discussing a paper by Lloyd Cawthorne from the Department of Physics and Astronomy on teaching programming to undergraduate Physics students. From the abstract: All welcome, physicists, non-physicists, programmers and non-programmers alike.

Programming LanguagesSoftware EngineeringACM InroadsAndrew PetersenJack ParkinsonComputer and Information Sciences
Published

Spatial skills can be beneficial in engineering and computing, but how are they connected? Why are spatial abilities beneficial in engineering? Join us to discuss this via a paper on spatial skills training by Jack Parkinson and friends at the University of Glasgow. Here is the abstract: All welcome.

Active LearningAndrea SchalkGreg KestinHarvardJill BarshayComputer and Information Sciences
Published

Learning can be an emotional process and we often don’t realise when we are actually learning. When you’re listening to an expert explain something well, it’s easy to mistake the speaker’s smooth delivery for your own understanding. You might feel like you’re learning, but actual learning is often hard work and feels uncomfortable.

Computer ScienceAlex FengEleanor O'RourkeKathryn CunninghamNorthwesternComputer and Information Sciences
Published

Somewhere between the traditional division of non-programmers and programmers, there is a third category of conversational programmers . These are people who can (or want) to learn programming so that they can speak in the “programmer’s language” and work better with software engineers. Join us to discuss conversational programming via paper by Katie Cunningham et al. [1] This won a best paper award at SIGCSE 2022: All welcome.

Computer ScienceInequalityWidening ParticipationWomen In ComputingApolloComputer and Information Sciences
Published

Computing is too important to be left to men, but where have all the women gone? While women continue to play a key role in computing they are currently under-represented in Computer Science. How can we change this and what evidence is there for practices that get more women into computing? Join us to discuss the subject via a paper by Briana Morrison et al [1] on Monday 7th February at 2pm GMT.

Computer ScienceBelongBelongingBlack Lives MatterBlmComputer and Information Sciences
Published

Students sense of belonging has been shown to be associated with many attributes such as motivation and persistence. But what makes people feel like they belong in Computer Science? Join us on Monday 6th December at 2pm GMT to discuss belonging via a paper by Catherine Mooney and Brett Becker. [1] This won a best paper award at SIGCSE 2021.

Computer ScienceInequalityBourdieuBourdieusianDiversityComputer and Information Sciences
Published

It’s no secret that both Computer Science and engineering have inequalities in their participation. Join us to re-examine and discuss these inequalities via a paper by Maria Kallia and Quintin Cutts [1] on Monday 4th October at 2pm BST. This won a best paper award at ICER 2021. From the abstract: All welcome. As usual, we’ll be meeting on zoom. Thanks to Steven Bradley for suggesting this months paper.

Collaborative LearningDiomidisDiomidis SpinellisSpinellisComputer and Information Sciences
Published

Why should students bother with open source software? Join us to discuss why via a viewpoint piece published by Diomidis Spinellis of Athens University and Delft University of Technology published in the July issue of Communications of the Association for … Continue reading

Active LearningBlended LearningCollaborative LearningPeer InstructionBergenComputer and Information Sciences
Published

The pandemic has accelerated changes to the way we teach and learn. Join us to discuss the Covid-19 shutdown: when studying turns digital, students want more structure : a paper by Vegard Gjerde, Robert Gray, Bodil Holst and Stein Dankert Kolstø on the effects of the pandemic on Physics Education at a Norwegian University. [1] All welcome, as usual, we’ll be meeting on Zoom see sigcse.cs.manchester.ac.uk/join-us for details.