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- panelDecember 2024
Assessments for Non-CS Major Computing Classes
SIGCSE Virtual 2024: Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 2Pages 289–290https://doi.org/10.1145/3649409.3703620The realization that computer science (CS) is an integral part of many fields has led to an influx of non-CS major students (henceforth, non-CS majors) in CS courses. There is ample evidence that these students have various interests and learning goals ...
- abstractDecember 2024
Exploring Approaches to Assessing Student Teamwork in Undergraduate Computing Projects
- Alexander Mitchell,
- Michael James Scott,
- Bedour Alshaigy,
- Wendell Bento Geraldes,
- Rita Garcia,
- Mirela Gutica,
- Hieke Keuning,
- Ellie Lovellette,
- P D Parthasarathy,
- Seán Russell,
- Sandra Schulz,
- Xi Wu
SIGCSE Virtual 2024: Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 2Pages 285–286https://doi.org/10.1145/3649409.3691072Teamwork is increasingly prominent in computing education. At the tertiary level, educators use group projects to nurture professional skills and employability. However, there is considerable variance in how such collaborative work is assessed. Emphases ...
- surveyNovember 2024JUST ACCEPTED
A Systematic Literature Review of Enterprise Architecture Evaluation Methods
ACM Computing Surveys (CSUR), Just Accepted https://doi.org/10.1145/3706582Enterprise Architecture (EA) is a systematic and holistic approach to designing and managing an organization's information systems components, aiding in optimizing resources, managing risk, and facilitating change. It weighs different architectural ...
- extended-abstractNovember 2024
Towards an Instrument to Assess K-12 Students' Conceptions of Machine Learning Using Concept Cartoons
Koli Calling '24: Proceedings of the 24th Koli Calling International Conference on Computing Education ResearchArticle No.: 41, Pages 1–2https://doi.org/10.1145/3699538.3699574As Artificial Intelligence (AI) and Machine Learning (ML) become more and more ubiquitous in everyone’s everyday life, students will hold certain conceptions of these phenomena, as recent studies show. Some of these conceptions may be beneficial, while ...
- research-articleNovember 2024
Simplify, Consolidate, Intervene: Facilitating Institutional Support with Mental Models of Learning Management System Use
- Taha Hassan,
- Bob Edmison,
- Daron Williams,
- Larry Cox II,
- Matthew Louvet,
- Bart Knijnenburg,
- D. Scott McCrickard
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 8, Issue CSCW2Article No.: 512, Pages 1–23https://doi.org/10.1145/3687051Measuring instructors' adoption of learning management system (LMS) tools is a critical first step in evaluating the efficacy of online teaching and learning at scale. Existing models for LMS adoption are often qualitative, learner-centered, and ...
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- short-paperOctober 2024
Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations
CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge ManagementPages 5333–5337https://doi.org/10.1145/3627673.3679108Accurately judging student on-going performance is crucial for adaptive teaching. In this work, we focus on the task of automatically predicting students' levels of mastery of math questions from teacher-student classroom dialogue data in online one-on-...
- research-articleSeptember 2024
Automated Assessment: Does It Align With Teachers' Views?
WiPSCE '24: Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education ResearchArticle No.: 10, Pages 1–10https://doi.org/10.1145/3677619.3678113In Aotearoa New Zealand, assessment of programming for the national NCEA standards is carried out manually by teachers, many of whom are not experienced programmers. In an attempt to decrease teacher workload, we have adapted Moodle CodeRunner [23] to ...
- research-articleSeptember 2024
Why Students Cannot Easily Integrate Component Skills: An Investigation of the Composition Effect in Programming
ACM Transactions on Computing Education (TOCE), Volume 24, Issue 3Article No.: 38, Pages 1–37https://doi.org/10.1145/3673239Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component ...
Validation of a German Version of the Collision Anxiety Questionnaire
MuC '24: Proceedings of Mensch und Computer 2024Pages 370–374https://doi.org/10.1145/3670653.3677516The main quality of virtual reality (VR) is its high immersive potential. However, the resulting inability to perceive the real world surroundings can distract users from the application due to the fear of colliding with obstacles or other people. The ...
- research-articleAugust 2024
Identifying Difficult Questions and Student Difficulties in a Spanish Version of a Programming Assessment Instrument (SCS1)
ACM Transactions on Computing Education (TOCE), Volume 24, Issue 3Article No.: 33, Pages 1–17https://doi.org/10.1145/3665921Currently, there is little evidence about how non-English-speaking students learn computer programming. For example, there are few validated assessment instruments to measure the development of programming skills, especially for the Spanish-speaking ...
- short-paperJuly 2024
Transformative Approach to Fairness and Transparency in Classroom Participation Assessment
L@S '24: Proceedings of the Eleventh ACM Conference on Learning @ ScalePages 501–504https://doi.org/10.1145/3657604.3664708Building on a foundation of innovative Machine Learning and Artificial Intelligence (AI) applications, this study presents an evolved approach to assessing student class participation (CP) and providing timely feedback in Masters in Business ...
- short-paperJuly 2024
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk
- Danielle R. Thomas,
- Jionghao Lin,
- Shambhavi Bhushan,
- Ralph Abboud,
- Erin Gatz,
- Shivang Gupta,
- Kenneth R. Koedinger
L@S '24: Proceedings of the Eleventh ACM Conference on Learning @ ScalePages 481–485https://doi.org/10.1145/3657604.3664700Addressing negative self-talk by students, such as responding to a student when saying, "I am dumb" or "I can't do this" can be difficult for even the most experienced tutor. Despite potential tutor learning from scenario-based lessons on this topic, ...
- research-articleJuly 2024
Newly Created Assignments and The First Repository Effect on Inter-Semester Plagiarism
L@S '24: Proceedings of the Eleventh ACM Conference on Learning @ ScalePages 211–220https://doi.org/10.1145/3657604.3662043The Internet---for all of its benefits---makes it easy for students to share assignments. This creates a serious problem for academic institutions. Common mitigation tactics include discouraging students from sharing their work and routinely checking for ...
- posterJuly 2024
LLMs in Open and Closed Book Examinations in a Final Year Applied Machine Learning Course (Early Findings)
- Keith Quille,
- Brett A. Becker,
- Roisin Faherty,
- Damien Gordon,
- Miriam Harte,
- Svetlana Hensman,
- Markus Hofmann,
- Keith Nolan,
- Ciaran O'Leary
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2Page 822https://doi.org/10.1145/3649405.3659514This research has three prongs, with each comparing open- and closed-book exam questions across six years (2017-2023) in a final year undergraduate applied machine learning course. First, the authors evaluated the performance of numerous LLMs, compared ...
- research-articleJuly 2024
Quickly Producing "Isomorphic" Exercises: Quantifying the Impact of Programming Question Permutations
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1Pages 178–184https://doi.org/10.1145/3649217.3653617Small, auto-gradable programming exercises provide a useful tool with which to assess students' programming skills in introductory computer science. To reduce the time needed to produce programming exercises of similar difficulty, previous research has ...
- research-articleJuly 2024
Feedback-Generation for Programming Exercises With GPT-4
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1Pages 31–37https://doi.org/10.1145/3649217.3653594Ever since Large Language Models (LLMs) and related applications have become broadly available, several studies investigated their potential for assisting educators and supporting students in higher education. LLMs such as Codex, GPT-3.5, and GPT 4 have ...
- research-articleJuly 2024
Evaluating Micro Parsons Problems as Exam Questions
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1Pages 674–680https://doi.org/10.1145/3649217.3653583Parsons problems are a type of programming activity that present learners with blocks of existing code and requiring them to arrange those blocks to form a program rather than write the code from scratch. Micro Parsons problems extend this concept by ...
- research-articleJuly 2024
A Comparison of Proctoring Regimens for Computer-Based Computer Science Exams
ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1Pages 185–191https://doi.org/10.1145/3649217.3653536In this paper, we explore three different methods for administering computer-based tests at scale: (1) a dedicated Computer-Based Testing Center (CBTC), (2) Bring Your Own Device (BYOD) exams proctored in person in the classroom, and (3) BYOD exams ...
- ArticleAugust 2024
A Mesoscopic Approach for Calculating Resilience Indicators in Emergency Conditions
Computational Science and Its Applications – ICCSA 2024 WorkshopsPages 3–15https://doi.org/10.1007/978-3-031-65308-7_1AbstractA transport system involved in a hazardous event may experience some changes in demand (the users want to move all together) and in supply (disruption). By considering these elements, this work aims to provide a measure of the resilience of a road ...