Titlebook: Artificial Intelligence in Education and Teaching Assessment; Wei Wang,Guangming Wang,Baoju Zhang Book 2021 The Editor(s) (if applicable)

ALOOF

書目名稱Artificial Intelligence in Education and Teaching Assessment影響因子(影響力)




書目名稱Artificial Intelligence in Education and Teaching Assessment影響因子(影響力)學科排名




書目名稱Artificial Intelligence in Education and Teaching Assessment網絡公開度




書目名稱Artificial Intelligence in Education and Teaching Assessment網絡公開度學科排名




書目名稱Artificial Intelligence in Education and Teaching Assessment被引頻次




書目名稱Artificial Intelligence in Education and Teaching Assessment被引頻次學科排名




書目名稱Artificial Intelligence in Education and Teaching Assessment年度引用




書目名稱Artificial Intelligence in Education and Teaching Assessment年度引用學科排名




書目名稱Artificial Intelligence in Education and Teaching Assessment讀者反饋




書目名稱Artificial Intelligence in Education and Teaching Assessment讀者反饋學科排名

要素

合乎習俗

RAGE

其他

Felicitous

https://doi.org/10.1007/978-3-030-52437-1bout the results. The fifth part is a?summary. The collected data set is used to train each kind of learner, and then the evaluation criteria are used to compare each kind of learner horizontally, and to analyze the advantages and disadvantages of each learner in the teacher award prediction problem

外向者

https://doi.org/10.1007/978-3-030-52437-1ing ability, humanistic, scientific and technological literacy, learning and development ability, and research and innovation ability. Phase of studying had a large effect on teachers’ qualities and abilities, while urban/rural had only a small effect. As the most prominent differences, teacher educ

evaculate

Classroom Teaching Behavior Analysis Based on Artificial Intelligence, recognition, we fused Mini-XCEPTION network model and the LSTM network model, by extracting features of speech mel-spectrogram, real-time analysis of changes in the classroom atmosphere. Through the final analysis results, teachers can fully grasp the classroom dynamics, create positive emotional c

LUMEN

Research on the Influence of Quantity and Emotion of Danmaku in Online Instructional Video on Learntions. (2) In terms of learning effects: instructional videos with a large number of bullet comments could significantly improve learners’ retention test scores, transfer test scores and total test scores. (3) Correlation analysis results showed that: the more positive emotion a learner experiences,

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