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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shrill

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

Nuance

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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