Prediction Validity of Teaching Efficacy on Task-Centered Anxiety:  A Study on Physical Education Teacher Candidates

Erbaş, Mustafa Kayıhan; Ünlü, Hüseyin

doi:10.30831/akukeg.776415

Cited by 13 publications

(14 citation statements)

References 29 publications

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“…err is called cross entropy, and J (W, (b) is the loss function; for good (W, (b) parameters, the loss function can be made to obtain a smaller value. The specific operation method is to achieve corresponding matrix norm F through the loss function Add regular term ( W ) [ 26 , 27 ]. Therefore, the final and complete loss function formula is as follows:

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Section: Deep Transfer Learning Algorithms and Applicationsmentioning

confidence: 99%

Research on DCE-MRI Images Based on Deep Transfer Learning in Breast Cancer Adjuvant Curative Effect Prediction

Pan

et al. 2022

Journal of Healthcare Engineering

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Breast cancer is a serious threat to women's physical and mental health. In recent years, its incidence has been on the rise and it has become the top female malignant tumor in China. At present, adjuvant chemotherapy for breast cancer has become the standard mode of breast cancer treatment, but the response results usually need to be completed after the implementation of adjuvant chemotherapy, and the optimization of the treatment plan and the implementation of breast-conserving therapy need to be based on accurate estimation of the pathological response. Therefore, to predict the efficacy of adjuvant chemotherapy for breast cancer patients is to find a predictive method that is conducive to individualized choice of chemotherapy regimens. This article introduces the research of DCE-MRI images based on deep transfer learning in breast cancer adjuvant curative effect prediction. Deep transfer learning algorithms are used to process images, and then, the features of breast cancer after adjuvant chemotherapy are collected through image feature collection. Predictions are made, and the research results show that the accuracy of the prediction reaches 70%.

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…”

Section: Deep Transfer Learning Algorithms and Applicationsmentioning

confidence: 99%

Research on DCE-MRI Images Based on Deep Transfer Learning in Breast Cancer Adjuvant Curative Effect Prediction

Pan

et al. 2022

Journal of Healthcare Engineering

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“…It is mainly selected and set from the following angles. One is to measure and evaluate specific sports events, focusing on the students' mastery of skills in relevant sports events, which is mainly related to the content of physical education teaching; second, from the perspective of extracurricular exercise, focus on the evaluation of students' physical exercise habits, mainly related to extracurricular training; the third is to dynamically track the growth of students' physical and mental quality by introducing intelligent technology from the perspective of sustainable growth; fourth, starting from the situation of sports literacy, focus on the evaluation of students' sports character, collective sense of honor, and so on [22][23][24]. e setting of physical education curriculum learning evaluation indicators should be considered from the perspectives of theoretical basis, experience reference, basic ideas, and construction strategies.…”

Section: Evaluation Index Of Long Jump Training Coursementioning

confidence: 99%

“…From the perspective of data analysis, the content of this part is not included in the total score of the questionnaire. In the teaching quality evaluation questionnaire, the answer options of some questions involve very consistent (81-100), consistent (61-80), generally consistent (41-60), inconsistent (21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40), and very inconsistent (0-20).…”

Section: Experimental Testmentioning

confidence: 99%

Quality Evaluation Method of College Sports Long Jump Training Course Based on Genetic Algorithm

Han

Wang

Zhao

2022

Mobile Information Systems

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In order to improve the accuracy of the quality evaluation of college sports long jump training courses, this paper studies the quality evaluation method of college sports long jump training courses based on a genetic algorithm. According to the purpose of college long jump training course evaluation, basic principles of teaching quality evaluation and classroom teaching evaluation standards constructs the establishment process of evaluation index system and calculates the weight of long jump training course quality evaluation index based on AHP method, so as to provide index basis for subsequent quality evaluation; The quality evaluation model of the long jump training course is constructed based on the genetic algorithm. Through cross operation and mutation operation based on adaptive mutation probability, the high accuracy evaluation of college sports long jump training course quality is realized. The experimental results show that the evaluation accuracy of this design method is higher than 97.21%, and the evaluation satisfaction is higher than 97.15%, which significantly improves the accuracy of the university sports long jump training courses and has practical significance in the course evaluation.

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“…The concept of teaching efficacy refers to teachers' personal beliefs about their capability that they could influence students' performance (Xie et al, 2022). Researchers have found that teaching efficacy affects teachers' job satisfaction (Collie et al, 2012), classroom management (Tsouloupas et al, 2010), teaching-learning conceptions (Erbas, 2021), and taskcentered anxiety levels (Erbas and Ünlü, 2020); additionally, scholars have showcased its important role in helping students to realize their development potential (Pendergast et al, 2011). At present, questions pertaining to which factors can influence teachers' teaching efficacy have become the focus of global attention.…”

Section: Introductionmentioning

confidence: 99%

How social and personal resources support teaching and learning effectiveness

2023

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Prediction Validity of Teaching Efficacy on Task-Centered Anxiety: A Study on Physical Education Teacher Candidates

Cited by 13 publications

References 29 publications

Research on DCE-MRI Images Based on Deep Transfer Learning in Breast Cancer Adjuvant Curative Effect Prediction

Research on DCE-MRI Images Based on Deep Transfer Learning in Breast Cancer Adjuvant Curative Effect Prediction

Quality Evaluation Method of College Sports Long Jump Training Course Based on Genetic Algorithm

How social and personal resources support teaching and learning effectiveness

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