Titlebook: Artificial Intelligence in Education: Emerging Technologies, Models and Applications; Proceedings of 2021 Eric C. K. Cheng,Rekha B. Koul,X

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Michael Dale Mendoza,Mila Lopezalso weaker than TD children in processing facial expression structure information, but still had a “happiness advantage” similar to TD children, that was, the highest recognition rate of happiness expression. They were more accustomed to using local processing methods based on mouth features to pro

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Towards a Tripartite Research Agenda: A Scoping Review of Artificial Intelligence in Education Resea21). A wide range of manuscripts were yielded from the education and educational research category of the Social Sciences Citation Index (SSCI) database, and papers from an AIED-specialised journal were also included. 135 of those meeting the selection criteria were analysed with content analysis an

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A Two-Stage NER Method for Outstanding Papers in MCMe NP-labeled words from the pre-labeled dataset to generate the preprocessed word frequency table and labeled the method-related words with “MET”. Secondly, [−3, 3] windows are applied to identify the capital words and words occurring in the above frequency table around the MET-labeled words which w

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Comprehensibility Analysis and Assessment of Academic Textsand feedback for academic documents based on three comprehensibility measures: Connectivity, Dispersion, and Comprehensibility Burden. These measures are explored and validated in a document collection of undergraduate and graduate levels, ranging from technician to doctoral. This preliminary explor

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Deep Learning Techniques for Automatic Short Answer Grading: Predicting Scores for English and Germaed best for English and German. Our system achieves a Pearson correlation coefficient of 0.73 and a Mean Absolute Error of 0.4 points on the Short Answer Grading data set of the University of North Texas [.]. On our German data set we report a Pearson correlation coefficient of 0.78 and a Mean Absol

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Solving Chemistry Problems Involving Some Isomers of Benzene Ringthree aspects. The first part is to design the method of understanding the problem text. This method adopts the syntactic-semantic model and it first constructs a pool of syntactic-semantic models. The second part is to design the method of extracting knowledge items from the problem figure and the

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