Search Results - "Leinonen, Juho"

Lessons Learned from Four Computing Education Crowdsourcing Systems by Pirttinen, Nea, Denny, Paul, Hellas, Arto, Leinonen, Juho

“…Crowdsourcing is a general term that describes the practice of many individuals working collectively to achieve a common goal or complete a task, often…”
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Piloting Natural Language Generation for Personalized Progress Feedback by Leppanen, Leo, Hellas, Arto, Leinonen, Juho

“…Full research paper-We describe the results of a pilot study wherein we applied simple natural language generation methods to produce automated feedback for…”
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Using and Collecting Fine-Grained Usage Data to Improve Online Learning Materials by Leppanen, Leo, Leinonen, Juho, Ihantola, Petri, Hellas, Arto

“…As educators seek to create better learning materials, knowledge about how students actually use the materials is priceless. The advent of online learning…”
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Factors Affecting Compilable State at Each Keystroke in CS1 by Scott, Steven, Hellas, Arto, Leinonen, Juho, Edwards, John

“…In this paper, we analyze keystroke log data from two introductory programming courses from two distinct contexts to investigate the proportion of events that…”
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Morning or evening?: an examination of circadian rhythms of CS1 students by Zavgorodniaia, Albina, Shrestha, Raj, Leinonen, Juho, Hellas, Arto, Edwards, John

“…Circadian rhythms are the cycles of our internal clock that play a key role in governing when we sleep and when we are active. A related concept is chronotype,…”
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"Sometimes You Just Gotta Risk It for the Biscuit": A Portrait of Student Risk-Taking by Leinonen, Juho, Denny, Paul

“…Understanding how individuals make decisions involving risk is a fundamental aspect of behavioral research. Despite the ubiquity of risk in various aspects of…”
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On the Opportunities of Large Language Models for Programming Process Data by Edwards, John, Hellas, Arto, Leinonen, Juho

“…Computing educators and researchers have used programming process data to understand how programs are constructed and what sorts of problems students struggle…”
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Experiences from Integrating Large Language Model Chatbots into the Classroom by Hellas, Arto, Leinonen, Juho, Leppänen, Leo

“…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…”
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Coverage of Course Topics in Learnersourced SQL Exercises by Pirttinen, Nea, Hellas, Arto, Leinonen, Juho

“…Learnersourcing is a common task in modern computing classrooms, where it is used, for example, for the creation of educational resources such as…”
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Evaluating Contextually Personalized Programming Exercises Created with Generative AI by Logacheva, Evanfiya, Hellas, Arto, Prather, James, Sarsa, Sami, Leinonen, Juho

“…Programming skills are typically developed through completing various hands-on exercises. Such programming problems can be contextualized to students'…”
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Empirical Evaluation of Deep Learning Models for Knowledge Tracing: Of Hyperparameters and Metrics on Performance and Replicability by Sarsa, Sami, Leinonen, Juho, Hellas, Arto

“…We review and evaluate a body of deep learning knowledge tracing (DLKT) models with openly available and widely-used data sets, and with a novel data set of…”
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Can We Trust AI-Generated Educational Content? Comparative Analysis of Human and AI-Generated Learning Resources by Denny, Paul, Khosravi, Hassan, Hellas, Arto, Leinonen, Juho, Sarsa, Sami

“…As an increasing number of students move to online learning platforms that deliver personalized learning experiences, there is a great need for the production…”
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LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education by Leinonen, Juho, Denny, Paul, Kiljunen, Olli, MacNeil, Stephen, Sarsa, Sami, Hellas, Arto

“…There is a great need for data in computing education research. Data is needed to understand how students behave, to train models of student behavior to…”
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Synthetic Students: A Comparative Study of Bug Distribution Between Large Language Models and Computing Students by MacNeil, Stephen, Rogalska, Magdalena, Leinonen, Juho, Denny, Paul, Hellas, Arto, Crosland, Xandria

“…Large language models (LLMs) present an exciting opportunity for generating synthetic classroom data. Such data could include code containing a typical…”
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Integrating Natural Language Prompting Tasks in Introductory Programming Courses by Kerslake, Chris, Denny, Paul, SmithIV, David H, Prather, James, Leinonen, Juho, Luxton-Reilly, Andrew, MacNeil, Stephen

“…Introductory programming courses often emphasize mastering syntax and basic constructs before progressing to more complex and interesting programs. This…”
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Robosourcing Educational Resources -- Leveraging Large Language Models for Learnersourcing by Denny, Paul, Sarsa, Sami, Hellas, Arto, Leinonen, Juho

“…In this article, we introduce and evaluate the concept of robosourcing for creating educational content. Robosourcing lies in the intersection of crowdsourcing…”
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Evaluating Language Models for Generating and Judging Programming Feedback by 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)…”
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Benchmarking Educational Program Repair by Koutcheme, Charles, Dainese, Nicola, Sarsa, Sami, Leinonen, Juho, Hellas, Arto, Denny, Paul

“…The emergence of large language models (LLMs) has sparked enormous interest due to their potential application across a range of educational tasks. For…”
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Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge by Koutcheme, Charles, Dainese, Nicola, Sarsa, Sami, Hellas, Arto, Leinonen, Juho, Denny, Paul

“…Large language models (LLMs) have shown great potential for the automatic generation of feedback in a wide range of computing contexts. However, concerns have…”
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"Like a Nesting Doll": Analyzing Recursion Analogies Generated by CS Students using Large Language Models by 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…”
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