Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Baker, Ryan S."'
Autor:
Švábenský, Valdemar, Tkáčik, Kristián, Birdwell, Aubrey, Weiss, Richard, Baker, Ryan S., Čeleda, Pavel, Vykopal, Jan, Mache, Jens, Chattopadhyay, Ankur
This full paper in the research track evaluates the usage of data logged from cybersecurity exercises in order to predict students who are potentially at risk of performing poorly. Hands-on exercises are essential for learning since they enable stude
Externí odkaz:
http://arxiv.org/abs/2408.08531
Autor:
Švábenský, Valdemar, Verger, Mélina, Rodrigo, Maria Mercedes T., Monterozo, Clarence James G., Baker, Ryan S., Saavedra, Miguel Zenon Nicanor Lerias, Lallé, Sébastien, Shimada, Atsushi
Algorithmic bias is a major issue in machine learning models in educational contexts. However, it has not yet been studied thoroughly in Asian learning contexts, and only limited work has considered algorithmic bias based on regional (sub-national) b
Externí odkaz:
http://arxiv.org/abs/2405.09821
Recently, ACM FAccT published an article by Kwegyir-Aggrey and colleagues (2023), critiquing the use of AUC ROC in predictive analytics in several domains. In this article, we offer a critique of that article. Specifically, we highlight technical ina
Externí odkaz:
http://arxiv.org/abs/2404.06989
Autor:
Švábenský, Valdemar, Pankiewicz, Maciej, Zhang, Jiayi, Cloude, Elizabeth B., Baker, Ryan S., Fouh, Eric
Programming courses can be challenging for first year university students, especially for those without prior coding experience. Students initially struggle with code syntax, but as more advanced topics are introduced across a semester, the difficult
Externí odkaz:
http://arxiv.org/abs/2404.05988
Autor:
Pankiewicz, Maciej, Baker, Ryan S.
We examined the efficacy of AI-assisted learning in an introductory programming course at the university level by using a GPT-4 model to generate personalized hints for compiler errors within a platform for automated assessment of programming assignm
Externí odkaz:
http://arxiv.org/abs/2403.12737
Numerous studies demonstrate the importance of self-regulation during learning by problem-solving. Recent work in learning analytics has largely examined students' use of SRL concerning overall learning gains. Limited research has related SRL to in-t
Externí odkaz:
http://arxiv.org/abs/2312.05675
Publikováno v:
PNAS Nexus, Volume 3, Issue 9, September 2024, pgae346
Culture fundamentally shapes people's reasoning, behavior, and communication. As people increasingly use generative artificial intelligence (AI) to expedite and automate personal and professional tasks, cultural values embedded in AI models may bias
Externí odkaz:
http://arxiv.org/abs/2311.14096
Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the
Externí odkaz:
http://arxiv.org/abs/2307.07614
Autor:
Pankiewicz, Maciej, Baker, Ryan S.
Addressing the challenge of generating personalized feedback for programming assignments is demanding due to several factors, like the complexity of code syntax or different ways to correctly solve a task. In this experimental study, we automated the
Externí odkaz:
http://arxiv.org/abs/2307.00150
Autor:
Gagnon, David J., Baker, Ryan S., Gagnon, Sarah, Swanson, Luke, Spevacek, Nick, Andres, Juliana, Harpstead, Erik, Scianna, Jennifer, Slater, Stefan, Pedro, Maria O. C. Z. San
In this paper we use an existing history learning game with an active audience as a research platform for exploring how humor and "snarkiness" in the dialog script affect students' progression and attitudes about the game. We conducted a 2x2 randomiz
Externí odkaz:
http://arxiv.org/abs/2210.09906