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The Application Of Speech Recognition Technology And Semantic Analysis Technology In Classroom Questioning

Posted on:2019-08-28Degree:MasterType:Thesis
Country:ChinaCandidate:R X YuanFull Text:PDF
GTID:2417330548983415Subject:The modern education technology
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Classroom questioning is an important part of classroom teaching.It is an important way and necessary means for teachers and students to communicate,dialogue,discover and understand knowledge together.However,recognizing the importance of classroom questions,it is undeniable that there are problems such as only one or two students are asked,classroom questions are limited in scope,teachers can only rely on memory to analyze students' classroom performance,lack of timely and accurate feedback on student questions in class,etc.In addition,factors such as student gender,class position,family background and seating conditions may also affect teachers' classroom questions and not conducive to effective classroom questions.With the deepening of new curriculum reforms and the rise of smart education,the integration of information technology and education has provided new solutions to these problems.In this study,the combination of speech recognition technology and semantic analysis technology is applied to classroom questions.Firstly,teachers need to make question presets when using the software.This requires teachers prepare question content meticulously.Secondly,teachers use this software in the classroom teaching process.The software will assign students automatically by analyzing the number of times.They will record the student's voice information in real time and generate students' correct answers.Teacher can receive the feedback while teaching.Thirdly,in the classroom questioning session,each student can answer questions through the software.The teacher does not need to ask every student to understand each student's answer.Fourthly,the software will record the situation of all students who answer the questions.It is helpful for teachers to overcome the shortcomings to record the feedback by their brain.A large number of data accumulation is an important basis for teachers to analyze student learning.Teachers can determine students' learning weaknesses by looking at the trend graph.They can help students with targeted learning,and then achieve individualized teaching.The purpose of this study is to use technical means to solve problems in class questions and make feedback timely.In addition,through analysis of a large number of questions in class,teachers are instructed to select the right student to answer the questions.Teachers can analyze student learning and achieve the goal of effective classroom questions.
Keywords/Search Tags:speech recognition technology, semantic analysis technology, classroom question
PDF Full Text Request
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