| 1. |
- Bradley, Steven, et al.
(författare)
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A Methodology for Investigating Women's Module Choices in Computer Science
- 2023
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Ingår i: ITiCSE 2023. - : Association for Computing Machinery (ACM). - 9798400701399 ; , s. 569-570
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Konferensbidrag (refereegranskat)abstract
- At ITiCSE 2021, Working Group 3 examined the evidence for teaching practices that broaden participation for women in computing, based on the National Center for Women & Information Technology (NCWIT) Engagement Practices framework. One of the report's recommendations was "Make connections from computing to your students' lives and interests (Make it Matter) but don't assume you know what those interests are; find out!" The goal of this 2023 working group is to find out what interests women students by bringing together data from our institutions on undergraduate module enrollment, seeing how they differ for women and men, and what drives those choices. We will code published module content based on ACM curriculum guidelines and combine these data to build a hierarchical statistical model of factors affecting student choice. This model should be able to tell us how interesting or valuable different topics are to women, and to what extent topic affects choice of module - as opposed to other factors such as the instructor, the timetable, or the mode of assessment. Equipped with this knowledge we can advise departments how to focus curriculum development on areas that are of value to women, and hence work towards making the discipline more inclusive.
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| 2. |
- Russell, Seán, et al.
(författare)
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Student Perceptions of Resource Helpfulness
- 2023
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Ingår i: ITiCSE 2023. - : Association for Computing Machinery (ACM). - 9798400701399 ; , s. 668-668
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Konferensbidrag (refereegranskat)abstract
- What do students perceive as helpful when they learn to program? This paper presents the results of this question from a survey conducted with 125 students enrolled in two online introductory programming courses. The question asked students to rank a number of resources and activities that they used or completed in their course. The results show that students perceive lecture videos as the most helpful resource while syntax exercises were seen as the most helpful activity. The spread of the student responses would seem to indicate that a more thorough and widely completed investigation of student perceptions of resources and activities would be beneficial to the field of computer science education.
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| 3. |
- Russell, Seán, et al.
(författare)
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Translate Together : Managed Translation and Peer-Review
- 2023
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Ingår i: ITiCSE 2023. - : Association for Computing Machinery (ACM). - 9798400701399 ; , s. 595-596
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Konferensbidrag (refereegranskat)abstract
- This paper describes a tool for managing peer-reviewed translation activities within CS1 classes. The tool is designed to help students develop a better understanding of terms within class by writing and reviewing translations of those terms and their descriptions in their native language. The peer-review of the translations means that lecturers do not need to share the language of their students.
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| 4. |
- Scott, Michael James, et al.
(författare)
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Managing Group Projects in Undergraduate Computing
- 2023
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Ingår i: ITiCSE 2023. - : Association for Computing Machinery (ACM). - 9798400701399 ; , s. 597-598
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Konferensbidrag (refereegranskat)abstract
- This panel convenes four educators, each from different institutions and each with experience managing group projects. Their expertise spans topics including: peer assessment and peer evaluation; entrepreneurship; transdisciplinarity; internationalisation; inclusivity; social values; educational technology and tools; feedback and feed-forward; peer rating; free-riders; as well as blended learning; and post-pandemic online discourse. They reflect on the delight of seeing students collaborate to deliver meaningful projects as well as the challenges posed by disengaged students. They also explore a common theme of discordance inherent to teamwork and systems to support student communities.
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| 5. |
- Snider, Johan Mattias, Doktorand
(författare)
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Edit, Run, Error, Repeat : Learning Analytics to Find Struggling Students in Upper Secondary Programming Classes
- 2023
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Ingår i: ITiCSE 2023. - : Association for Computing Machinery (ACM). - 9798400701399 ; , s. 629-630
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Konferensbidrag (refereegranskat)abstract
- This dissertation research explores the potential of using learning analytics to improve programming education. The research goals include replicating previous research through studying heterogeneous groups of students at upper secondary schools over several months. The expected contribution of this dissertation is to provide insights into how learning analytics can identify struggling students.
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