Fortuitous 发表于 2025-3-25 07:20:59
RepairNet: Contextual Sequence-to-Sequence Network for Automated Program Repair repair such errors can be a useful aid to the developers for their productivity. In this work, we propose a deep generative model, RepairNet, that automatically repairs programs that fail at compile time. RepairNet is based on sequence-to-sequence modeling and uses both code and error messages to rdebouch 发表于 2025-3-25 10:17:58
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A Systematic Review of Data-Driven Approaches to Item Difficulty Predictionan determine items and tests’ overall quality. Therefore, . is extremely important in any pedagogical learning environment. Data-driven approaches to item difficulty prediction are gaining more and more prominence, as demonstrated by the recent literature. In this paper, we provide a systematic revi易弯曲 发表于 2025-3-25 18:09:56
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Affect-Targeted Interviews for Understanding Student Frustrationrceptions about the learning activity drive their experience of frustration and their subsequent choices during learning. In this paper, we adopt a mixed-methods approach, using automated detectors of affect to signal classroom researchers to interview a specific student at a specific time. We hand-ethnology 发表于 2025-3-26 03:25:02
Explainable Recommendations in a Personalized Programming Practice Systemnalized practice system for introductory Java programming. We present the design of two types of explanations to justify recommendation of next learning activity to practice. The value of these explainable recommendations was assessed in a semester-long classroom study. The paper analyses the observ萤火虫 发表于 2025-3-26 06:59:47
Multilingual Age of Exposureore creating more complex models of assessing text difficulty, the basic building block of a text consists of words and, inherently, its overall difficulty is greatly influenced by the complexity of underlying words. One approach is to measure a word’s Age of Acquisition (AoA), an estimate of the av使高兴 发表于 2025-3-26 12:13:08
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Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networksh a learning activity in terms of four different engagement modes—Interactive, Constructive, Active, and Passive—and it predicts that increased cognitive engagement will yield improved learning. However, a key open question is how best to translate the ICAP theory into the design of adaptive scaffol