首页|New Findings on Machine Learning Described by Investigators at University of Bol ogna (Hybrid Models for Knowledge Tracing: a Systematic Literature Review)
New Findings on Machine Learning Described by Investigators at University of Bol ogna (Hybrid Models for Knowledge Tracing: a Systematic Literature Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Bologna, Italy, by NewsR x journalists, research stated, "Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students cha nges during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to variou s machine learning and deep learning techniques." The news correspondents obtained a quote from the research from the University o f Bologna, "Despite their satisfactory performances, they have some pitfalls, e. g., modeling one skill at a time, ignoring the relationships between different s kills, or inconsistency for the predictions, i.e., sudden spikes and falls acros s time steps. For this reason, hybrid machine-learning techniques have also been explored. With this systematic literature review, we aim to illustrate the stat e of the art in this field. Specifically, we want to identify the potential and the frontiers in integrating prior knowledge sources in the traditional machine learning pipeline as a supplement to the normally considered data. We applied a qualitative analysis to distill a taxonomy with the following three dimensions: knowledge source, knowledge representation, and knowledge integration."
BolognaItalyEuropeCyborgsEmergin g TechnologiesMachine LearningUniversity of Bologna
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