Model Of Teacher Education Research Articles

Enhancing Teacher Education: Cultivating the Architects of Tomorrow’s Mind

This article underscores the urgent need for a revamp in teacher education programs to better equip educators as architects of future minds. In the face of rapid technological advancements and evolving educational paradigms, educators' roles have become increasingly intricate. The article explores current challenges in teacher education and advocates for trans-formative approaches aligned with the dynamic needs of 21st-century learners. Key themes include integrating technology, fostering critical thinking, and promoting culturally responsive pedagogy. Drawing on research and best practices, the article proposes a comprehensive framework emphasizing experiential learning, interdisciplinary approaches, and continuous professional development. It emphasizes collaboration between academia, institutions, and policymakers to create a supportive ecosystem. The article advocates for innovative teaching methodologies like project-based learning to prepare educators for the evolving educational landscape. By reviewing existing teacher education models, the article aims to offer insights into effective strategies, emphasizing the significance of fostering a growth mindset among educators. Ultimately, it calls for a paradigm shift, positioning educators as architects of tomorrow's minds, ready to shape an empowered generation capable of meeting future challenges.

Exploring the Reform of Flipped Classroom Teaching Based on SPOC

This study, centered around the "ARM Embedded System Architecture" course, compares traditional teaching methods with the practical effects of a flipped classroom approach based on Small Private Online Courses (SPOC). The analysis of the current teaching situation reveals shortcomings in traditional lecture-based teaching methods concerning student engagement and effectiveness. Therefore, this research focuses on implementing a hybrid teaching model based on SPOC for flipped classrooms, using the Learning APP as a platform. Through comparative experiments between the experimental and control groups, the study collects data on students' learning status, knowledge mastery, and assignment performance. The use of the Learning APP extensively records students' learning trajectories. The results indicate that the SPOC-based flipped classroom model exhibits significant advantages in enhancing student engagement, deepening knowledge internalization, and promoting practical application. This research provides empirical support for the promotion of digitalization and innovative teaching models in higher education, offering insights into the construction of a more flexible and effective educational system.

Revisiting an Anti-Machiavellian model for teacher education: A critical perspective

This study examines a borrowed concept from politics, that is, Machiavellian, in second language teacher education (SLTE), develops an anti-model to it, and explores teacher educators’ viewpoints about the developed model with an eye on critical aspects of teacher education, that is, Anti-Machiavellian. To do so, the literature on Machiavellian thoughts was studied thoroughly based on which a model was proposed and interview questions were constructed. Then, five Iranian expert teacher educators were selected based on non-random convenient sampling to attend individual extensive semi-structured interviews in which they discussed their opinions about the principles of Anti-Machiavellian SLTE. Adopting a thematic analysis, the data revealed that Anti-Machiavellian SLTE associates closely with critical teacher education where teacher education is context-specific, responsive to learners, dialogically engaging, reflective, and practical. The results of the in-depth interviews also indicated that Anti-Machiavellian SLTE is compatible with critical teacher education which, albeit widely advertised, is hard to practice.

Construction and Application of Physical Education Classroom Teaching Model Integrating MOOC and Flipped Classroom

In terms of sports itself, mastering certain skills is a reliable way to avoid injury and futile training, and the teaching process needs to focus on imparting skills. Therefore, in order to optimize the teaching mode of physical education courses, this study explores the current improvement achievements and draws on the advancement of curriculum reform. The study proposes a recommendation method based on knowledge points and student characteristics by studying the characteristics and importance of sports techniques, in order to achieve high-quality customized content recommendations. Through validation experiments, the effectiveness of this recommendation method and optimization path is demonstrated. This study adopts an empirical research design to explore the impact of recommendation methods based on knowledge points and student characteristics on the teaching effectiveness of physical education courses. The effectiveness of this recommendation method is evaluated by collecting and analyzing students' learning data. Statistical analysis methods are used to analyze experimental data, including calculating the percentage of improvement in students' technical movements under different teaching modes. The research results indicated that recommendation methods based on knowledge points and student characteristics were of great significance for optimizing the teaching mode of physical education courses. The improvement of subjects' technical movements such as hitting and swinging in the new teaching mode was significantly better than that in the traditional teaching mode, with an increase of 10-20 technical movements per unit time, with a growth rate of over 20%. Compared with traditional teaching models, this teaching model has been subjectively recognized by students and has positive reference significance for the current physical education teaching model.

Research on the Teaching Mode of College English Education based on Big Data Technology

Abstract Cognitive diagnosis, as an important means of personalized learning, has the advantage of being able to diagnose students’ knowledge levels and individual differences and provide targeted learning services. In this paper, we use the Markov Monte Carlo method to estimate the parameters in the FuzzyCDF model. Then, we calculate students’ English proficiency level and knowledge mastery by constructing fuzzy sets to realize the diagnosis and analysis of students’ English cognitive levels. Finally, the teaching model of English education in colleges and universities is built using the cognitive diagnosis method. The study shows that the teaching model can accurately and dynamically detect students’ cognitive level for each knowledge point in English teaching. After the implementation of the teaching model, the average score of the overall knowledge water of the students in the experimental class in English teaching reaches 77.25. There is a highly significant difference between it and the students in the control class (P=0.001<0.01), which indicates that the implementation of the teaching model improves the cognitive level of the student’s English learning. This paper presents a novel idea for the improvement of English teaching in colleges and establishes the foundation for improving the effectiveness of English learning.

AIGC enables vocational education teaching-take the course of Audio and video editing processing as an example

Abstract The study integrates and models the PLS method in traditional structural equations, applies it to vocational education research, and constructs a vocational education model based on PLS-SEM. The model examines the factors that influence teaching quality in vocational education. Therefore, an intelligent teaching model for vocational education based on AIGC is proposed, and teaching experiments are conducted to explore the practical effects of the teaching model. The structural equation model of vocational education constructed in this paper has good reliability, validity, and predictive ability. The analysis found that vocational education has a positive effect on emotion and motivation and learning performance, and emotion and motivation have a positive effect on learning performance. The increases in the four dimensions and the overall level of the pre-and posttests of the control group were 0.10, 0.67, 0.31, −0.12, and 0.97, respectively, and the increases in the experimental group were 2.00, 3.79, 3.24, 4.25, and 15.28, respectively. The significance of each dimension of the posttest data of both groups is less than 0.05, indicating that the intelligent teaching model of vocational education based on AIGC has a significant positive effect on students’ audio-video editing and processing ability, and the teaching effect is significantly better than that of the conventional teaching mode.

Internet+ Teaching Model of Community-Based Elderly Education in the Context of Smart Cities

Abstract The rapid emergence of Internet+, artificial intelligence, virtual reality, and other innovative technologies has led to the gradual penetration of online learning into traditional teaching, and face-to-face teaching and online teaching have moved towards deep integration. This paper explores the Internet+ teaching mode of online and offline integration of community-based senior education in the context of a smart city and designs a personalized learning platform for community-based geriatric education. Subsequently, a learning path recommendation model based on two-dimensional features of learners and learning resources is constructed, and then the SASBPSO algorithm is used to realize model optimization and improve the online learning effect of community-based senior education, and the effect of the model application is analyzed. The SASBPSO algorithm is more reliable than other algorithms when solving optimal solutions and converges at less than 0.1, which is significantly superior to other algorithms in terms of convergence. The time used by elderly learners under the use of this paper method is significantly shorter than the traditional method, and the average learning time gap is smaller. The difference between the average scores of the pre-test and post-test of the two groups is −16.247 and −8.146, and the significance value of the difference is 0.003 and 0.016, respectively, 0.003<0.016<0.05, indicating that the learning effect based on personalized learning path recommendation is significantly higher than that of the traditional learning method. This paper provides feasible design ideas for the Internet+ teaching mode of community-based geriatric education.

Innovation of Physical Education and Health Curriculum Teaching Models in Colleges and Universities in the Digital Era and Its Contribution to Students’ Core Literacy

Abstract Physical education and health curricula in colleges and universities are obsolete, and there is an urgent need to innovate teaching models and methods. To achieve innovation in physical education and health teaching, this paper utilizes cutting-edge information technology like motion recognition to construct a physical education and health data monitoring model. Firstly, the positional relationship between coordinate systems is determined, and the established coordinate system is used to describe the orientation and position of human postural joints, and the rotation matrix is used to define the rotation from the global coordinate system to the current orientation of the local coordinate system of bones. A human motion joint skeletal chain model is created that has 21 bones and 21 joints. The joint pose solution method is proposed, and the human kinematic model is constructed by combining robot ortho kinematics and coordinate transformation. A position estimation algorithm combining inertial navigation and a human kinematics model has been designed. After analyzing the performance of the recognition model, analyze the effects of its application on the innovation of college physical education courses. It is found that the model in this paper monitors the heart rate data with an error of only 3 or less, and the accuracy of human movement recognition on the MHealth and PAMAP2 datasets is 97.38% and 96.63%, respectively, and the learning ability is optimal. After one semester of innovative mode teaching and the use of a physical education and health data monitoring model, the mean values of physical education and health knowledge, physical education behavior, physical fitness and health, motor skills, and physical character of the experimental class were 35.77, 25.53, 25.04, 35.73, and 31.56 points higher than those of the control class, respectively. Motivation, skill acquisition, after-school sports, and sports concern were significantly higher in the experimental class, with scores of 5.66, 6.71, 5.61, and 3.65 points higher than the control class. This paper’s innovative teaching mode and model have been effective in improving teaching quality and stimulating students’ sports and health habits.

Research on the Reform of Modern Distance Education Teaching Model from the Perspective of Digital Economy

Research on the Reform of Modern Distance Education Teaching Model from the Perspective of Digital Economy

Innovative Development of Physical Education Teaching Models in Vocational Colleges

Innovative Development of Physical Education Teaching Models in Vocational Colleges

Cultivating the Spirit of Aesthetic Education in Vocational Undergraduate Colleges in the Context of Artificial Intelligence

Abstract The fusion of aesthetic education with vocational training constitutes a necessary evolution dictated by both societal progression and the demands of contemporary times, with each element enhancing the other. This study proposes a pathway for the construction of aesthetic education courses tailored to the current educational objectives of vocational undergraduate institutions. It also introduces a teaching model designed to foster aesthetic sensibilities structured around the ADDIE instructional design framework. Moreover, this research employs the 2023 student cohort from HZ Vocational College as subjects for a comparative experimental study to empirically analyze the effectiveness of the aesthetic education teaching approach. An enhanced clustering algorithm, which integrates multi-point optimization, was applied to assess the development of students’ aesthetic spirit. Additionally, a regression analysis model was used to investigate the various factors influencing the cultivation of this aesthetic spirit, providing a comprehensive analysis of the impact of the proposed educational interventions. The results show that after the teaching, the mean values of student evaluation, self-evaluation, parent evaluation, and teacher evaluation in the five aspects of recognizing beauty, experiencing beauty, feeling beauty, appreciating beauty, and creating the beauty of the students in Class A of the sample are higher than those of Class B by 4.90, 4.08, 3.40 and 4.13. Their p-values are all statistically significant at 0.000<0.05. The ADDIE-based aesthetic education teaching model can effectively cultivate students’ aesthetic spirit and provide important value references for the reform and development of aesthetic education.

Personalized Physical Education Teaching Path Planning and Optimization Based on Deep Reinforcement Learning

Abstract Physical education courses have always been an important part of students’ comprehensive quality education, and how to make full use of big data technology to improve the informatisation level of physical education teaching has become an urgent problem to be solved at present. Through an overview of the characteristics of the personalised physical education teaching model based on deep reinforcement learning, the feature types of the collected data are clarified, and a series of data preprocessing operations are taken to remove the interfering information in the data. From the principle of deep reinforcement learning, the deep Q-network algorithm is designed, and the state space, action space, reward function, and selection strategy in the personalised sports teaching path planning model are also defined and designed. Comprehensive simulation experiments and statistical analysis confirm the personalized sports teaching path planning model based on deep reinforcement learning. In contrast, the DQN algorithm can achieve good results in any situation, and can give the most suitable personalised teaching plan according to each student’s problem in order to achieve the purpose of personalised sports teaching path planning and dynamic adjustment. The teaching model in this paper has a significant relationship with the traditional teaching model in terms of physical education learning autonomy, participation in physical education classes, and skill test scores, i.e., the teaching model in this paper has a better optimisation effect than the traditional teaching model.

Evaluation of the effectiveness of robot-assisted teaching in the training room in preschool education

Abstract In recent years, the national policy has strongly promoted the integration of artificial intelligence technology and the field of education. In response to the national policy’s call, this paper proposes a robot-assisted teaching model. Taking the coordinate transformation model, velocity motion model, odometry motion model, and visual and auditory recognition model as design principles of the educational robot, the design of the educational robot is materialized by borrowing relevant hardware and programming software. The robot-assisted preschool education teaching model was created to explain the role of educational robots in preschool education. The research subjects were selected, and the teaching effect of robot-assisted preschool education was analyzed by combining theoretical knowledge of statistics. After the experimental intervention, in terms of learning quality, language expression ability, and cooperative literacy, there was a significant difference between the early childhood students in Group B and Group C, with P<0.05. In addition, the mean value of all the satisfaction indices remained above 3.3. Combining all the analyzed results confirms the facilitating role of robot-assisted teaching in preschool education.

Research on the Innovation of Smart Teaching Mode of University Physical Education Driven by Digital Technology

Abstract Physical education teaching mode is the link between physical education teaching theory and physical education teaching practice, which has a direct impact on the quality and teaching effect of physical education teaching. In this paper, the recognition algorithm is applied to physical education, and a graph-convolutional neural network is constructed. In order to solve the problem that a graph convolutional neural network can only deal with non-motion graphs, using the Masked Attention mechanism, assigning different weights to neighboring nodes, extracting node features and features between neighboring nodes, thus the graph attention neural network, and introducing the YOLO model to predict the single and multiple postures and correct the students’ technical movements. Through the comparative experimental study in this paper, it was found that the p-values of the four dimensions of students’ attention to athletics, adverse interest in athletics learning, positive interest in athletics learning, and daily athletics exercise were all 0.000<0.05. In the two dimensions of positive interest in athletic learning and daily athletic exercise, the mean values of the students in the experimental group reached 29.11 and 32.89, respectively. In terms of comparing the results of the students in the two groups, the 50-meter Run p=0.021<0.05, Vertical Long Jump p=0.002<0.05, Seated Body Flexion and Sit-ups for girls p=0.000<0.05. Therefore, the data-intelligent physical education teaching model constructed in this paper can increase the degree of students’ interest in physical education, improve students’ participation in physical education classrooms, and optimize students’ physical education achievement and performance.

Classification of Physical Education Teaching Models Based on VAR Model and Its Application Research

Abstract With the rapid advancement of science and technology, the types of physical education teaching modes show a diversified development trend. This study classifies physical education teaching modes into hybrid physical education teaching, “5E” physical education teaching, and happy physical education teaching, analyzes the teaching effectiveness of the three physical education teaching modes through the SVAR model, and explores the correlation between the three physical education teaching modes and teaching effectiveness. Following the teaching experiment, both hybrid and happy sports teaching had more than 70 excellent students, while average students decreased by 45 and 36, respectively. In experimental group B, the number of excellent students only increased by 4, while the number of average students only decreased by 9. Mixed and happy physical education have significant effects on improving students’ physical fitness, while the “5E” physical education model only has significant effects on the 50-meter run and 1-minute rope skipping assessment. The blended physical education teaching mode significantly enhances sprinting, sit-ups, and pull-ups, whereas the happy physical education teaching mode does not significantly correlate with the five dimensions of basic skills. Conversely, the “5E” physical education teaching mode significantly enhances sprinting, seated forward bending, sit-ups, and pull-ups.

Research on Teaching Methods of Higher Vocational Education Based on Multi-source Data Fusion under the Concept of Entrepreneurship and Innovation Education

Abstract With the development of the times, traditional innovation and entrepreneurship education exist in the backwardness of education concept and learning concept. This paper proposes a model for entrepreneurship innovation that incorporates multi-source data fusion technology. From both online and offline sources, we obtain multi-source data about the education and teaching methods of the entrepreneurship innovation education concept in higher vocational colleges and universities. In the process of multi-source data fusion, data is preprocessed to improve its quality and efficiency during data fusion. Using the least squares method to complete the multi-source data fusion operation, combined with the concept of entrepreneurship innovation education, co-designed a data fusion-driven innovative entrepreneurship education teaching model that integrates interactive and targeted teaching methods. The model underwent validation and analysis. The data show that after some time of adopting the targeted teaching method to teach students innovative and entrepreneurial concepts, the difference between the mean value of the level of creative and entrepreneurial concepts of the students in the experimental group mean value (43.79) and the control group mean value (43.79) is 4.55. The sig value is 0.019<0.05. Compared with traditional didactic teaching, the targeted teaching mode based on the multi-source data fusion technology is more helps to improve the level of innovation and entrepreneurship concepts of students in higher vocational colleges and universities.

A37: An Experimental Study on the Effect of Traditional Old Games on Fundamental Motor Skills of Children Aged 7-8

Purpose: Fundamental Motor Skills as the "cornerstone" of children's healthy growth, its firmness determines children's future development. However, with the progress of science and technology and the convenience of modern life, the physical activity level of children has decreased significantly, and the development of basic motor skills has increased rapidly. Therefore, in October 2020, it was clearly proposed to gradually improve the school physical education teaching model of "health knowledge + basic sports skills + special sports skills". At the same time, as the wisdom crystallization of human development, traditional old games are increasingly replaced by the ever-changing electronic games and gradually fade out of human's vision. The inheritance of excellent traditional sports culture is in urgent need of improvement. Based on this, standing at the intersection of two hundred years of history, this study takes the opportunity of the introduction of excellent traditional sports culture into the campus, fully explores the action education value of traditional old games, integrates the design and implementation of online sports intervention of traditional old games, deeply discusses the influence and effect of traditional old games on basic sports skills, and tries to expand the ideas and perspectives of the inheritance of excellent traditional sports culture. To effectively promote the healthy growth of children to provide empirical reference. Methods: In this study, literature, experiment, interview, mathematical statistics, and other research methods were used to design and improve the teaching design of traditional games, and the first-grade students at a primary school in Shenzhen were selected for experimental research. Among them, 24 students (11 boys and 13 girls) in the experimental class used traditional old games for experimental intervention, while the control class (11 boys and 13 girls) conducted routine teaching arrangements. The experiment lasted for 4 weeks, twice a week for 30 minutes each time. The Gross Motor Development Scale III (TGMD-3) was used before and after the experiment to evaluate children's basic motor skill development, in order to verify the effectiveness of traditional games in improving children's basic motor ability development. Results: After the experiment, the overall level of basic motor skills (t=3.091, p=0.000 < 0.01), mobile skills (t=4.694, p=0.000 < 0.05) and mobile skills of female students (t=6.502, p=0.000 < 0.05) were significantly different between the experimental class and the control class. Conclusion: Through reasonable design and creation of the five principles of fun, feasible, antagonistic, educational, and changeable traditional games, can effectively improve the basic motor skills of 7-8 years old children; The intervention was suitable for the sensitive period of children's motor development, and the traditional online games had the most obvious effect on improving the mobile skills of 7-8 years old children. Influenced by social role awareness and growth sequence, there are significant gender differences in the influence of traditional old games on basic motor skills of children aged 7-8 years, and the development of motor skills of girls is significantly better than that of boys.

The Power of PBL and TPACK: Catalysts for Elevating Students' Writing Learning Outcomes

The English writing learning process is crucial in English language education, but it often faces challenges such as limited resources and ineffective teaching methods. To address these issues, this study explores the use of Problem-Based Learning (PBL) integrated with Technological Pedagogical Content Knowledge (TPACK) in the context of English as a foreign language (EFL) learning, specifically in the writing course. The research aims to investigate how the integration of PBL and TPACK can enhance students' writing learning outcomes (assessing their content and clarity, structure of the writing, and language quality). The research follows a Classroom Action Research (CAR) design with a quantitative approach. The subjects consist of 10th-grade students from a public high school in Pasuruan Regency, with a total of 33 participants. Data collection instruments include pre and post writing tests and observation. Data analysis is conducted using Microsoft Excel, employing percentages. The findings demonstrate that the implementation of PBL integrated with TPACK leads to significant improvements in students' writing learning outcomes. In the pre-cycle, the pass percentage was only 39.39%, while in cycle I, it increased to 75.76%, and in cycle II, it reached 93.94%. This study contributes to the development of curricula and teaching methods for English writing. These findings have important implications for future writing instruction that can help improve students' writing learning outcomes. This study’s limitations are constraining the applicability of its findings to diverse educational environments and a relatively brief timeframe. Future research could explore cross-cultural variations, delve into extended research periods, and compare the effectiveness of PBL and TPACK with alternative teaching models in EFL education.

Students’ Psychological Analysis for Classroom Teaching Strategies of Art Songs Based on STEAM Education

Education in today’s society is starting to focus on training in line with the new curriculum concept and curriculum integration concept, paying attention to the change in students’ learning styles and following the law of students’ physical and mental development. In order to cultivate talents more in line with the needs of society and, meanwhile, to improve students’ own quality and comprehensive competitiveness, this paper analyzes and studies the classroom teaching strategies of art songs and students’ psychology under the educational philosophy of Science, Technology, Engineering, Art, Mathematics (STEAM). Firstly, the concept of STEAM education is introduced in detail, and teaching activities under the concept of STEAM education are analyzed. Secondly, the teaching strategies for the teaching of art songs are put forward. Finally, students’ learning psychology is explored to prove the correctness of the teaching strategies. A questionnaire survey is conducted by constructing the evaluation system of the STEAM educational concept. The survey results show that the classroom teaching of art songs under the STEAM educational concept significantly improved students’ “teamwork and interpersonal skills” and “learning interest”. The calculated results of P values are all less than 0.01, which shows that the correlation is significant. Therefore, the STEAM educational concept has positive significance for improving students’ learning motivation and comprehensive quality. This paper provides new theoretical and practical support for current higher education teaching strategies and models by assessing the application of STEAM education in teaching art songs and the blended teaching effectiveness in college English. This paper offers valuable experiences and methodological insights for future similar research endeavors.

Discussion on the Impact of “Shift System” Teaching Model of Physical Education on Students’ Mental Health

The “shift system” teaching model of physical education is an emerging education model that aims to improve students’ independent choice and personalized development. However, there are also some challenges in the practical application of this model. For example, there are mental health issues for some students including difficulty in adaptation, social interaction, high psychological pressure, etc. Based on this, this article analyzes the impact of the “shift system” teaching model of physical education on students’ mental health and explores the optimization path of the physical education “shift system” teaching model in order to promote students’ mental health and all-round development.