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ACM SIGCSE Journal Club

Better teaching and learning, one paper at a time...
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PedagogyAssessmentFeedbackJane WaiteJoanna TaiInformática y Ciencias de la InformaciónInglés
Publicado

A good theory can be the most concentrated form of knowledge. By encapsulating an infinite number of cases, a theory can make predictions rather than just describing a finite number of disjointed facts. So how does theory feature in research about assessment and feedback? Join us on Monday 3rd July at 2pm BST (UTC+1) to discuss a paper investigating this question by Juuso Henrik Nieminen, Margaret Bearman &

Computer ScienceExperiential Learning,Problem-based LearningWidening ParticipationAsciidocInformática y Ciencias de la InformaciónInglés
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The textbook has long been a mainstay of education. Although online textbooks can give students easy (and sometimes free) access to increasingly interactive resources, authors have a bewildering array of tools and publishing models to select from.

Artificial Intelligence,Programming LanguagesSoftware EngineeringAiAndrew Luxton-ReillyInformática y Ciencias de la InformaciónInglés
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Programming is hard, or at least it used to be. AI code generators like Amazon’s CodeWhisperer, DeepMind’s AlphaCode, GitHub’s CoPilot, Replit’s Ghostwriter and many others now make programming easier, at least for some people, some of the time. What opportunities and challenges do these new tools present for educators?

Artificial Intelligence,EthicsProgramming LanguagesAcademic IntegrityAiInformática y Ciencias de la InformaciónInglés
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Maybe you wrote that code and maybe you didn’t. If AI helped you, such as the OpenAI Codex in GitHub Copilot, how did it solve your problem? How much did Artificial Intelligence help or hinder your solution? Join us to discuss a paper by Michel Wermelinger from the Open University published in the SIGCSE technical symposium earlier this month on this very topic.

Artificial Intelligence,Programming LanguagesCEPCode ComprehensionMaria KalliaInformática y Ciencias de la InformaciónInglés
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It’s all very well getting an AI to write your code for you but neither writing code or reading code are the same as understanding code. So what is going on in novices brains when they learn to actually understand the code they are reading and writing?

Collaborative LearningComputer ScienceProgramming LanguagesSoftware EngineeringAmazon Web ServicesInformática y Ciencias de la InformaciónInglés
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More and more software development tools are available in the cloud, with tools like Replit, CodingRooms, GitHub Codespaces, Amazon Web Services Cloud9, JetBrains and Eclipse all offering online tools for developers to code collaboratively in the cloud. Integrated Development Environments (IDEs) which have traditionally been available as “fatter” clients are increasingly available as “thinner” web-based clients running in a browser.

Computer ScienceDiana KirbyElizabeth ColeEnglandGlasgowInformática y Ciencias de la InformaciónInglés
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Computing is widely taught in schools in the UK and Ireland, but how does the subject vary across primary and secondary education in Scotland, England, Wales and Ireland? Join us to discuss via a paper published at UKICER.com by Sue Sentance, Diana Kirby, Keith Quille, Elizabeth Cole, Tom Crick and Nicola Looker.

Programming LanguagesSoftware EngineeringAlexandra-Lucia CostacheBlueJJavaInformática y Ciencias de la InformaciónInglés
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Java is widely used as a teaching language in Universities around the world, but what wider problems does it present for novice programmers? Join us to discuss via a paper published in TOCE by Neil Brown, Pierre Weill-Tessier, Maksymilian Sekula, Alexandra-Lucia Costache and Michael Kölling.

Paper SuggestionsAlan HayesEmployabilityEmployerEmploymentInformática y Ciencias de la InformaciónInglés
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What do employers want from Computer Science students and how good are Universities in producing graduates with what employers need? Join us to discuss via a paper by Roseanne English and Alan Hayes from UKICER 2022.

PedagogyCaitlin KelleherCHIGTAUTAInformática y Ciencias de la InformaciónInglés
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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.