Educational Technology and Student Voice: Examining Teacher Candidates' Perceptions

Byker, Erik Jon; Putman, S. Michael; Handler, Laura K.; Polly, Drew

doi:10.18844/wjet.v6i3.1687

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…The main condition for the simulation and modeling games in the classroom is a model of professional orientation. In practice, there are different types of simulation and modeling game: dramatization, dramatization of the situation of social communication and situational role-playing game, outplaying of professionally-designed situations and role play (Bicen & Uzunboylu, 2013;Byker, Putman, Handler & Polly, 2017;Dishkova & Papancheva, 2019).…”

Section: Resultsmentioning

confidence: 99%

Creative and research competence as a factor of professional training of future teachers: Perspective of learning technology

Amirova

Iskakovna

Zakaryanovna

et al. 2020

WJET

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One of the main current objectives of countries is to achieve a high level of quality in higher education that meets the needs of the labor market problems of industrial-innovative development of the country, the identity and relevant international best practices in the field of education. This study aims to provide a comprehensive review on creative and research competence as a factor of professional training of future teachers according to perspective of learning technology. Document analysis as a qualitative research method was used in the study. It should be noted that in the framework of the Bologna process and the integration of Kazakhstan universities into the European higher education area in recent years, increasing attention is paid to the competence approach which refers to development of key competencies of teacher candidates in the training of future profession. For future teachers, it is necessary to be able to be creative in solving a variety of pedagogical technological problems in addition to mastering the specialized knowledge. Creative competencies of the future teachers play a crucial role in their future professional life. Results are discussed with relevant literature and implications for future research and practices are presented. Keywords: Learning technology, creative competence, research competence, future teachers.

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Section: Resultsmentioning

confidence: 99%

Creative and research competence as a factor of professional training of future teachers: Perspective of learning technology

Amirova

Iskakovna

Zakaryanovna

et al. 2020

WJET

View full text Add to dashboard Cite

show abstract

“…The recognized voice signal is sent to the UART interface, and the UART interface performs feature extraction on the voice signal and identifies and matches the controller. The controller returns the voice signal with successful pattern matching to the UART interface, the voice signal is played through a voice playback device such as MP3 through voice synthesis, and finally the audio is output, and the volume of the voice can be adjusted by a power amplifier ( 10 ).…”

Section: Human-computer Interaction Sports Teaching Methodsmentioning

confidence: 99%

Human-computer interactive physical education teaching method based on speech recognition engine technology

Sang

Xing-quan

2022

Front. Public Health

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With the advent of the era of artificial intelligence, speech recognition engine technology has a profound impact on social production, life, education, and other fields. Voice interaction is the most basic and practical type of human-computer interaction. To build an intelligent and automatic physical education teaching mode, this paper combines human-computer interaction based on speech recognition technology with physical education teaching. Students input through voice signals, and the system receives signals, analyzes signals, recognizes signals, and feeds back information to students in multiple forms. For the system to process the external speech signal, this paper uses the Mel cepstral coefficient algorithm to extract the speech information. By comparing the speech recognition rate and antinoise rate of Hidden Markov Model, Probabilistic Statistics Neural Network, and Hybrid Model (Hidden Markov and Rate Statistical Neural Network combination), the speech recognition engine uses the hybrid model, and its speech recognition rate is 98.3%, and the average antinoise rate can reach 85%. By comparing the human-computer interaction physical education teaching method with the traditional teaching method, the human-computer interaction method is superior to the traditional teaching method in the acquisition of physical knowledge, the acquisition of physical skills, the satisfaction of physical education courses and the ability of active learning. It effectively solves the drawbacks of traditional physical education and rationally uses human-computer interaction technology. On the basis of not violating physical education, realize the diversification of physical education, improve the quality of teaching, improve students' individual development and students' autonomous learning ability. Therefore, the combination of human-computer interaction and physical education based on recognition engine technology is the trend of today's physical education development.

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“…Literature [11]: studies show that voice disorders are extremely common among teachers. Teachers, as professional voice users, should place a high priority on the high incidence of voice diseases reported by education departments and school leaders, and the prevention and control of voice diseases among teachers have emerged as a critical issue that needs to be addressed urgently by relevant departments.…”

Section: Literature Reviewmentioning

confidence: 99%

Teacher Voice Feature Extraction and Recognition Based on Health Belief Model

2022

Wireless Communications and Mobile Computing

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Teachers are professional voice workers who complete their education and teaching tasks primarily through spoken English. Teachers’ voices are the most important tool for completing their professional tasks, as well as an important part of their public image. This paper proposes innovative design strategies with health management as the core concept, in light of the voice health problems of primary and secondary school teachers in the era of intelligence. For a long time, China has had a high percentage of teachers with voice problems. Teachers’ oral English expression is affected by voice diseases, which reduces teaching efficiency. Teachers’ physical and mental health are also jeopardized, and their professional identities are diminished. It is primarily caused by a lack of health-care awareness, excessive use of voice in daily life, incorrect vocalization techniques, a lack of knowledge and methods for voice protection, and ignorance on the part of education management departments. As a result, we must reduce the frequency with which we use our voices and employ scientific feature recognition methods to protect our voices.

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Educational Technology and Student Voice: Examining Teacher Candidates' Perceptions

Cited by 13 publications

References 14 publications

Creative and research competence as a factor of professional training of future teachers: Perspective of learning technology

Creative and research competence as a factor of professional training of future teachers: Perspective of learning technology

Human-computer interactive physical education teaching method based on speech recognition engine technology

Teacher Voice Feature Extraction and Recognition Based on Health Belief Model

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