scholarly journals Improving Teaching Style with Dialogic Classroom Teaching Reform in a Chinese High School

2019 ◽  
Vol 9 (2) ◽  
pp. 38
Author(s):  
Xiaojin Kang ◽  
Jing Han
Keyword(s):  
High School ◽  
Classroom Environment ◽  
Teaching Style ◽  
Teaching Quality ◽  
Learning Theories ◽  
Classroom Teaching ◽  
Classroom Activities ◽  
Positive Effects ◽  
Teacher Student ◽  
Student Dialogue

Lively and effective classroom instruction is an important feature of quality schools. Recently, the lead author's schoolhas launched a reform of classroom teaching methods to implement a dialogic model. The dialogic model, taking cuesfrom constructivist learning theories and Manabu Sato, expects educators to promote multiple kinds of classroomdialogue, including teacher-student dialogue, student-text dialogue, student-student dialogue, and self-reflectivedialogue. The reform efforts of the school are all-encompassing and include changes to teacher training, classroomobservation and teaching evaluation, lesson planning, classroom activities, homework, and testing. This reform ismeant to improve teaching quality, enhance the classroom environment, and bring about better critical thinkingoutcomes in the students. The following text chronicles the details of this reform in a large senior high school in aChinese metropolis, and the first attempts by teachers at the school to implement new dialogic teaching techniques.The preliminary analysis finds evidence of positive effects on student engagement, confidence, and motivation usingdialogic teaching techniques.

scholarly journals Teacher–Student Dialogue During Classroom Teaching: Does It Really Impact on Student Outcomes?

2019 ◽  
Vol 28 (4-5) ◽  
pp. 462-512 ◽  
Author(s):  
Christine Howe ◽  
Sara Hennessy ◽  
Neil Mercer ◽  
Maria Vrikki ◽  
Lisa Wheatley
Keyword(s):  
Student Outcomes ◽  
Classroom Teaching ◽  
Teacher Student ◽  
Student Dialogue

scholarly journals Convolutional Neural Network-Assisted Strategies for Improving Teaching Quality of College English Flipped Class

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Tiankun Liu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Student Behavior ◽  
Flipped Classroom ◽  
Classroom Behavior ◽  
Procedural Knowledge ◽  
Teaching Style ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
College English

The “flipped classroom” teaching paradigm not only follows the cognitive rules of the learners, but it also subverts and reverses the standard classroom teaching process. Problem-oriented, teacher-led, student-centered, and mixed teaching approaches are the key teaching methods in the flipped classroom teaching model, which focuses on students’ procedural knowledge acquisition and critical thinking training. There are a lot of studies on the specific practice path of the “flipped classroom” teaching style right now, but there are not many on the learning involvement of college English students in this approach. According to studies, the level of student participation in classroom learning is the most important factor limiting the efficiency of teaching. The lack of research in this subject greatly limits the “flipped classroom” teaching model’s ability to improve college English classroom teaching quality. The degree of engagement between teachers and students, the enthusiasm of students in class, and the competence of teachers to educate are all reflected in student conduct in the classroom. Understanding and evaluating the behaviors and activities of students in the classroom are helpful in determining the state of students in the classroom, as well as improving the flipped classroom teaching technique and quality. As a result, the convolutional neural network is used to recognize student behavior in the classroom. The loss function of VGG-16 has been enhanced, the distance inside the class has been lowered, the distance between classes has been increased, and the recognition accuracy has improved. Accurate recognition of classroom behavior is beneficial in developing methods to improve teaching quality.

Teaching Reform and Practice of Electrical Courses

2011 ◽  
Vol 271-273 ◽  
pp. 1860-1863
Author(s):  
Hong Bo Wei
Keyword(s):  
Teaching Quality ◽  
Classroom Teaching ◽  
Engineering Practice ◽  
Positive Role ◽  
Positive Effects ◽  
Teaching Reform ◽  
Teaching Status ◽  
And Training

In order to improve the effects of classroom teaching and experiment teaching, a viewpoint that combines the software with hardware is proposed based on the analysis of the characteristics and teaching status in electrical courses. Through practise it has been proved that this method has played a positive role in increasing students’ interest and enhencing practical and innovation abilities. At the same time, it has positive effects in improving teaching quality and training the students’ engineering practice ability .

scholarly journals A Case Study on the Pattern of Classroom Discourse in Teaching Chinese as a Foreign Language

2021 ◽  
Vol 5 (10) ◽  
pp. 172-177
Author(s):  
Liqing Li
Keyword(s):  
Foreign Language ◽  
Classroom Discourse ◽  
Structural Model ◽  
Teaching Quality ◽  
Discourse Structure ◽  
Classroom Teaching ◽  
Structure Model ◽  
Teacher Student ◽  
Chinese Classroom ◽  
Teaching Chinese

Based on the IRF (initiation, response, and feedback) classroom discourse structure model proposed by Sinclair and Coulthard, this research analyzes and studies the actual corpus of Chinese classroom teaching in Thailand, focusing on the structural model of teacher-student communication discourse, mainly from two aspects of teachers’ feedback. On the one hand, it investigates whether IRF is fully applicable to Chinese classroom teaching and whether there are special situations to it. On the other hand, it attempts to summarize the discourse structure model of Chinese classroom teaching and explores the application of the research results in helping Chinese teachers improve their teaching quality in hope that constructive suggestions can be proposed for teaching Chinese as a foreign language.

scholarly journals Classroom Student Emotions Classification from Facial Expressions and Speech Signals using Deep Learning

2019 ◽  
Vol 8 (3) ◽  
pp. 6675-6683
Keyword(s):  
Classroom Environment ◽  
Teaching Style ◽  
Research Approach ◽  
Online Classes ◽  
Positive Effects ◽  
Automated Learning ◽  
Primary Responsibility ◽  
Speech Features ◽  
The Subject ◽  
Video And Audio

Classroom environment is a competent platform for the students to learn and improve their understanding of the subject. An instructor’s primary responsibility lies in managing the students in a way they feel interested and focused during the class. With the aid of automated systems based on artificial intelligence, an instructor can get feedback on the students’ attention span in the class by monitoring their emotions using learning algorithms that can prove to be effective to improve the teaching style of the instructor that can in turn have positive effects on the class. In this paper, we propose an LSTM recurrent neural network trained on an emotional corpus database to extract the speech features and convolutional neural networks trained on the FER2013 facial emotion recognition database were used to predict the speech and facial emotions of the students respectively, in real-time. The live video and audio sequence of the students captured is fed to the learned model to classify the emotions individually. Once the emotions such as anger, sadness, happiness, surprise, fear, disgust and neutral were identified, a decision-making mechanism was used to analyze the predicted emotions and choose the overall group emotion by virtue of the highest peak value achieved. This research approach has the potential to be deployed in video conferences, online classes etc. This implementation proposal should effectively improve the classification accuracy and the relatability of the detected student emotions and facilitate in the design of sophisticated automated learning systems that can be a valuable tool in evaluating both the students and the instructors. The adapted research methodologies and their results are discussed and found to perform suggestively better than the other research works used in the comparison

Mobilizing for Some

2016 ◽  
Vol 28 (3) ◽  
pp. 123-135 ◽  
Author(s):  
Raffael Heiss ◽  
Jörg Matthes
Keyword(s):  
High School ◽  
Social Media ◽  
High School Students ◽  
Experimental Design ◽  
Collective Efficacy ◽  
Political Efficacy ◽  
Negative Effects ◽  
School Students ◽  
Positive Effects ◽  
Specific Factors

Abstract. This study investigated the effects of politicians’ nonparticipatory and participatory Facebook posts on young people’s political efficacy – a key determinant of political participation. We employed an experimental design, using a sample of N = 125 high school students (15–20 years). Participants either saw a Facebook profile with no posts (control condition), nonparticipatory posts, or participatory posts. While nonparticipatory posts did not affect participants’ political efficacy, participatory posts exerted distinct effects. For those high in trait evaluations of the politician presented in the stimulus material or low in political cynicism, we found significant positive effects on external and collective efficacy. By contrast, for those low in trait evaluations or high in cynicism, we found significant negative effects on external and collective efficacy. We did not find any effects on internal efficacy. The importance of content-specific factors and individual predispositions in assessing the influence of social media use on participation is discussed.

Teacher Identification of Behavior Problems among Junior High School Students: A Preliminary Study

1981 ◽  
Vol 6 (4) ◽  
pp. 219-222 ◽  
Author(s):  
Lyman W. Boomer ◽  
Tom R. King
Keyword(s):  
High School ◽  
High School Students ◽  
Behavior Problems ◽  
Junior High School ◽  
Junior High ◽  
Junior High School Students ◽  
School Students ◽  
Student Interactions ◽  
Teacher Student ◽  
Scanning Behavior

Factors associated with teacher identification of behavior problems among junior high school students were investigated. Teacher-student interactions were compared to examine the differences between students identified as emotionally disturbed and non-identified students. Results indicated there were significant differences between interaction profiles. These were in the areas of student attention-to-task and student scanning behavior while the teacher was instructing.

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