Zobrazeno 1 - 10
of 11 933
pro vyhledávání: '"Leinonen A"'
Autor:
Reeves, Brent N., Prather, James, Denny, Paul, Leinonen, Juho, MacNeil, Stephen, Becker, Brett A., Luxton-Reilly, Andrew
Generative AI (GenAI) and large language models in particular, are disrupting Computer Science Education. They are proving increasingly capable at more and more challenges. Some educators argue that they pose a serious threat to computing education,
Externí odkaz:
http://arxiv.org/abs/2407.09231
Autor:
Koutcheme, Charles, Dainese, Nicola, Hellas, Arto, Sarsa, Sami, Leinonen, Juho, Ashraf, Syed, Denny, Paul
The emergence of large language models (LLMs) has transformed research and practice in a wide range of domains. Within the computing education research (CER) domain, LLMs have received plenty of attention especially in the context of learning program
Externí odkaz:
http://arxiv.org/abs/2407.04873
Programming skills are typically developed through completing various hands-on exercises. Such programming problems can be contextualized to students' interests and cultural backgrounds. Prior research in educational psychology has demonstrated that
Externí odkaz:
http://arxiv.org/abs/2407.11994
In the present study, we provided students an unfiltered access to a state-of-the-art large language model (LLM) chatbot. The chatbot was intentionally designed to mimic proprietary commercial chatbots such as ChatGPT where the chatbot has not been t
Externí odkaz:
http://arxiv.org/abs/2406.04817
Autor:
Prather, James, Reeves, Brent, Leinonen, Juho, MacNeil, Stephen, Randrianasolo, Arisoa S., Becker, Brett, Kimmel, Bailey, Wright, Jared, Briggs, Ben
Novice programmers often struggle through programming problem solving due to a lack of metacognitive awareness and strategies. Previous research has shown that novices can encounter multiple metacognitive difficulties while programming. Novices are t
Externí odkaz:
http://arxiv.org/abs/2405.17739
The emergence of large language models (LLMs) has sparked enormous interest due to their potential application across a range of educational tasks. For example, recent work in programming education has used LLMs to generate learning resources, improv
Externí odkaz:
http://arxiv.org/abs/2405.05347
Large language models (LLMs) have shown great potential for the automatic generation of feedback in a wide range of computing contexts. However, concerns have been voiced around the privacy and ethical implications of sending student work to propriet
Externí odkaz:
http://arxiv.org/abs/2405.05253
Autor:
Leinonen, Juho, Denny, Paul
Understanding how individuals, including students, make decisions involving risk is a fundamental aspect of behavioral research. Despite the ubiquity of risk in various aspects of life, limited empirical work has explored student risk-taking behavior
Externí odkaz:
http://arxiv.org/abs/2405.01477
Traditionally, machine learning-based clinical prediction models have been trained and evaluated on patient data from a single source, such as a hospital. Cross-validation methods can be used to estimate the accuracy of such models on new patients or
Externí odkaz:
http://arxiv.org/abs/2403.15012
Autor:
Bernstein, Seth, Denny, Paul, Leinonen, Juho, Kan, Lauren, Hellas, Arto, Littlefield, Matt, Sarsa, Sami, MacNeil, Stephen
Grasping complex computing concepts often poses a challenge for students who struggle to anchor these new ideas to familiar experiences and understandings. To help with this, a good analogy can bridge the gap between unfamiliar concepts and familiar
Externí odkaz:
http://arxiv.org/abs/2403.09409