Teaching System Research Articles

“I’m a bit out of place here.”—Preservice teachers’ positioning in the figured world of university mathematics

AbstractPreservice mathematics teachers are sometimes trained in programs so that they have both their own courses and joint courses with mathematics majors from the beginning of their studies. While this is thought to provide them with both deep mathematical knowledge and teaching-specific content right from the start, many of them report disaffection with and disengagement from mathematics during their very first semester. Current approaches often frame this from an individual’s perspective, investigating cognitive and affective individual differences among students. In contrast, we aim to understand this issue from a sociocultural perspective, examining underlying social processes. In this study, we thus explored preservice teachers’ experiences of the mathematics component of their training, using Holland and colleagues’ theory of figured worlds as a theoretical lens. Three group interviews with 14 preservice higher secondary teachers in a common mixed setting in Germany (one course specific to preservice teachers, one general mathematics course together with major students) were analyzed. Our findings displayed that the preservice teachers experienced two dichotomous figured worlds of mathematics and mathematics teaching. Our further analysis of their positioning between these worlds provided new insights to explain their disaffection, disengagement, and consequent learning behavior. We discuss practical implications, focusing on different teaching systems and interventions in teacher education.

Модель формирования у будущих педагогов готовности к профессиональной деятельности с использованием новых социальных медиа как средств обучения и воспитания школьников

The article is devoted to the problem of preparing future teachers for professional activities using new social media as effective means of teaching and educating schoolchildren. The author substantiates the relevance of the research problem, reveals the educational potential of new social media, and identifies the possible risks of its implementation in the educational process of the school, associated with the unpreparedness of future teachers to use them in their professional activities. The article presents the content of the author's model of developing readiness for the use of new social media in the teaching and educational process of school among students studying in teacher education programs. The model includes target, content, organizational, technological and effective blocks, the integration of which represents an integral pedagogical system aimed at bringing higher pedagogical education into line with the requirements of the modern information society. The model was implemented over four academic years as part of a pedagogical experiment. Using diagnostic tools developed in accordance with the author’s idea of the criteria and indicators of teachers’ readiness to effectively use new social media as new means of teaching and education, the level of its formation among experimental (n = 67) and control (n = 69) students is studied. groups before and after the implementation of the proposed model. Based on the results of the comparative analysis, a conclusion is drawn about the feasibility and possibility of transforming the system of media education for modern students — future teachers.

Fuzzy Integrated Optimization-Based College and University Music Education Teaching System

Fuzzy integrated optimization refers to the application of fuzzy logic techniques in the optimization process to handle uncertain or imprecise information effectively. In traditional optimization problems, precise data and deterministic relationships are assumed. This paper proposes the construction of a teaching system for music education in colleges and universities based on fuzzy integrated optimization. Fuzzy logic techniques are applied to handle uncertain or imprecise information inherent in the optimization process. traditional optimization methods that assume precise data and deterministic relationships, fuzzy integrated optimization allows for the modeling of uncertainties in music education settings. By incorporating fuzzy logic into the design of the teaching system, educators can better adapt to the diverse learning needs and preferences of students. The implementation of the teaching system for music education in colleges and universities based on fuzzy integrated optimization yielded significant improvements across various performance metrics. Student engagement levels increased by an average of 25%, with a corresponding rise in satisfaction rates by 30%. Additionally, learning outcomes showed measurable enhancements, with a 20% increase in average test scores compared to traditional teaching methods. The adaptive nature of the teaching system resulted in a 15% reduction in dropout rates, indicating improved student retention and progression through music education programs. Educators reported a 40% increase in efficiency in lesson planning and delivery, attributed to the system's ability to provide personalized recommendations and insights tailored to individual student needs. 

Research on the Application of Improved Apriori Algorithm in Sport-Adaptive Online Teaching System Under Big Data Environment

Each student in an adaptive education system has significant differences in knowledge background, ability level and cognitive style. Therefore, to build an adaptive teaching system, it is necessary to establish an operable, reasonable and individualized student model by clarifying students’ abilities and differences. The improved Apriori algorithm under big data is the most classic association rule algorithm, which is generated by a set of candidates, and it uses the iterative method of hierarchical search to traverse a set of frequency items in the transaction database. After finding the set of frequency items, select the association according to the trust rules. This paper studies how to apply the improved Apriori algorithm to an adaptive online education system in a big data environment. An evolutionary algebra is taken with mean fit of 80, population size of 20, mean fit of 0.28, population size of 60, mean fit of 0.26, population size of 80, mean fit of 0.25, mean population size of 0.25. The population size is 200, and the average fitting is 0.24. The larger the error, the smaller the error between each indicator of the test paper and the corresponding value specified by the user. The improved Apriori algorithm in the big data environment has designed five themes of rule mining, which are mainly used for class management: class linkage, class category linkage, student basic information linkage, lecture and basic information linkage, and lecture mode linkage. They play the role of teaching assistants with a specific role.

Design and Implementation of Chinese Language Teaching System Based on Virtual Reality Technology

Traditional Chinese language teaching methods have always had problems, such as a lack of practical opportunities and interest and an inability to provide sufficient language environment and context. Virtual reality technology provides new possibilities to solve these problems. Through in-depth research and analysis, this article designs and develops a Chinese language teaching system based on virtual reality technology. This system utilizes virtual reality technology to create a simulated 3D Chinese language environment, enabling learners to experience interactive experiences firsthand. The system includes speech recognition, natural language processing, and artificial intelligence, enabling real-time language communication and student interaction. This system s design considers students learning needs and interests, allowing them to practice their Chinese application skills in real-world simulated environments. This system has broad prospects in Chinese language education and provides new research and innovation directions for educational institutions and developers.

Intelligent Analysis System for Teaching and Learning Cognitive Engagement Based on Computer Vision in an Immersive Virtual Reality Environment

The 20th National Congress of the Communist Party of China and the 14th Five Year Plan for Education Informatization focus on digital technology and intelligent learning and implement innovation-driven education environment reform. An immersive virtual reality (IVR) environment has both immersive and interactive characteristics, which are an important way of virtual learning and are also one of the important ways in which to promote the development of smart education. Based on the above background, this article proposes an intelligent analysis system for Teaching and Learning Cognitive engagement in an IVR environment based on computer vision. By automatically analyzing the cognitive investment of students in the IVR environment, it is possible to better understand their learning status, provide personalized guidance to improve learning quality, and thereby promote the development of smart education. This system uses Vue (developed by Evan You, located in Wuxi, China) and ECharts (Developed by Baidu, located in Beijing, China) for visual display, and the algorithm uses the Pytorch framework (Developed by Facebook, located in Silicon Valley, CA, USA), YOLOv5 (Developed by Ultralytics, located in Washington, DC, USA), and the CRNN model (Convolutional Recurrent Neural Network) to monitor and analyze the visual attention and behavioral actions of students. Through this system, a more accurate analysis of learners’ cognitive states and personalized teaching support can be provided for the education field, providing certain technical support for the development of smart education.

Development of professional-pedagogical competence in future English language teachers

The study examines the professional pedagogical competence of future English language teachers. The concept of "professional pedagogical competence" is increasingly relevant in Kazakhstan's higher education reform. It reflects teachers' pivotal role and professional qualities in achieving high-quality education and upbringing. Our literature review defines the professional pedagogical competence of future English language teachers as an integrative set of qualities that indicate their personal and socio-moral experience. It also reflects their capacity to foster motivational, cognitive, and operational aspects within their professional domain. The outcomes of their pedagogical endeavors evidence this. Our model of professional pedagogical competence for future English language teachers is a pedagogical system that includes four blocks: target, conceptual, content-procedural, and criteria-evaluative. The criteria and indicators of professional-pedagogical competence are communicative, cognitive, operational-activity, and motivational-valuable. The communicative dimension emphasizes foreign languages as a means of personal and professional communication. The cognitive dimension emphasizes skills to solve non-standard lingua-pedagogical tasks. The operational-activity dimension reflects personality, professional development, and pedagogical activities. The motivational-valuable dimension emphasizes linguistic-cognitive motivation, professional self-awareness, the need for self-realization, and self-development. Our research findings contribute significantly to the discourse on teacher education in Kazakhstan. Our comprehensive model aligns with contemporary educational needs. It serves as a valuable guidepost for educational stakeholders and offers insights that can inform policy, curriculum development, and teacher training programs. Ultimately, it advances the overarching goal of enhancing the quality and impact of English language education in Kazakhstan.

Perceptions towards Online System of Teaching and Learning Mathematics

This research paper discusses on the online mode of teaching/learning mathematics especially during the period of COVID-19. The main objective of the study was to analyze the perceptions of students’ and teachers’ towards online system of teaching/learning mathematics. The study was carried out using case study. Four students studying mathematics at B. Ed. level and two teachers teaching at the same level were the participants of this study. Findings of the study showed that online class was less Interactive and there were complications due to Poor Connections. On the other hand, Flexible Learning and Opportunity to Learn in Self Pacing were found to be positive aspects of the system. At the same time, the research concluded two major challenges: challenge of Immediate Feedback and challenge Monitoring Students’ Activities during the class.

Intelligent Construction of University Music Education Teaching System Based on Artificial Intelligence Technology

The university music education teaching system plays a vital role in nurturing aspiring musicians and music enthusiasts by providing a comprehensive framework for musical learning and development. This system typically encompasses a diverse range of courses, workshops, and performance opportunities designed to cultivate students' musical talents, theoretical knowledge, and practical skills. Through a combination of classroom instruction, ensemble rehearsals, private lessons, and hands-on experiences, students receive a well-rounded musical education that covers various genres, styles, and traditions. Moreover, university music education teaching systems often incorporate state-of-the-art facilities, including rehearsal rooms, recording studios, and performance venues, to support students' artistic growth and creative expression. This paper presents an innovative approach to the intelligent construction of university music education teaching systems, leveraging artificial intelligence (AI) technology with Intelligent Fuzzy Regression Classification (IFRC). Recognizing the complexity and diversity of music education, this research aims to optimize teaching methodologies and enhance learning outcomes through AI-driven strategies. The proposed approach integrates AI technology, particularly IFRC, into the design and implementation of university music education teaching systems. IFRC combines fuzzy logic with regression analysis and classification techniques to model and predict complex relationships within music education datasets, enabling the system to adapt and respond dynamically to student needs and preferences. The IFRC-enhanced teaching system can generate personalized learning pathways, recommend tailored resources, and provide real-time feedback to students and instructors alike. This intelligent adaptation to individual learning styles and progress fosters a more engaging, effective, and inclusive music education environment. The IFRC-enhanced teaching system achieves an average improvement of 25% in student performance compared to traditional teaching methods. Moreover, specific musical skills, such as sight-reading, ear training, and music theory comprehension, exhibit notable enhancements, with average score increases of 30%, 20%, and 35%, respectively.

Unlocking Vital Professional Skills of EFL Educators to Cultivate Student English Core Competencies in the Digital Era

With the rapid development of artificial intelligence (AI) technology, the education sector has witnessed transformative changes. In the domain of secondary English language teaching, the advent and implementation of intelligent teaching systems have necessitated a reevaluation of Teacher Professional Competency (TPC). However, there is limited research exploring English as a Foreign Language (EFL) teachers’ perspectives on the TPCs required for fostering student English core competencies in the ear of AI. This study aimed to investigate the need for relevant TPCs among English teachers. A sample of 1089 English teachers from 335 schools across China participated in this research. The findings identified a total of 12 TPCs, with variations observed based on gender, years of teaching experience, school type, school level, and school location. Notably, Teaching Design Competency (TDC), English Knowledge and Application Competency (EKAC), and Teaching Implementation and Management Competency (TIMC) were identified as the most crucial TPCs. These results provide valuable insights into the components of EFL teacher professional competencies and offer guidance for competency-based teacher digital education programs.

Breaking Traditional Boundaries in Translation Pedagogy; Evaluating How Senior Lecturers Have Incorporated Digital Tools to Enhance Translation Teaching

Digital technology has brought significant transformation in translation pedagogy, mainly in helping lecturers integrate digital tools in teaching translation courses. However, it is significant to gain insights from the experiences of the senior lecturers who are gradually accepting the integration of technology in translation pedagogy. The focus of this paper is to gain insights from Professors in translation pedagogy on their challenges in transiting from traditional teaching systems to digital technological systems, also sharing their solutions to the challenges. Through the use of both survey questionnaires and semi-structured interviews, data was gathered from 93 extensively experienced professors in translation. The gathered data was analyzed using thematic analysis and statistical measures. The results of the data from the interviews showed four main themes, including the theme of transition challenges, the theme of assessment and evaluation challenges, the theme of inclusion and accessibility in digital technology, and the theme of actions the professors had taken in digital technology. The professors confirmed actions such as “finding appropriate online platforms that allowed for real-time cooperation" (Professor 2), "using virtual translation technologies that enabled real-time collaboration on documents" (Professor 5), and "encouraging collaborative translation exercises in real-time Google Docs" (Professor 2)”. The data from the survey questionnaire unveiled specific ways in which digital tools have assisted the senior lecturers in teaching translation courses, including teaching materials for translation courses are now prepared more quickly due to AI technologies, and automated grading systems driven by AI have reduced assessment time and generated feedback for students' translation projects. The Professors generally accepted the impacts of technological advancements, mainly AI tools, in teaching translation and improving the general performance of the learners.

The role of artificial intelligence in building an adaptive educational environment

   Purpose: of the article is to study the influence of artificial intelligence on the construction of an adaptive educational environment that takes into account the positive and negative impact of artificial intelligence, as the core of digital technologies, on the well-being of participants in the educational process.   Methods: the work uses a complex of theoretical methods, including axiomatic, formalization, abstraction, logical analysis, historical retrospection. The most signifi cant practical research methods include statistical, operationalization and evaluation, comparative analysis.   Results: the article provides a statistical substantiation of the demand for artifi cial intelligence in the education. The current educational problems are shown, in solving which it is advisable to use artifi cial intelligence. The article describes the trends in the use of artificial intelligence in the Russian education. The interpretation of the adaptive educational environment is given and the possibilities of using artificial intelligence as a tool for its construction are shown. The logical sequence for constructing an adaptive intelligent teaching system is proposed. The analysis of the impact of digital technologies used in hybrid learning (including artifi cial intelligence) on the well-being of participants in the educational process was carried out. The need for a rational, balanced and cautious approach to the use of artifi cial intelligence in education is emphasized, which gives rise to numerous ethical problems, ignoring which can negatively aff ect the values of education.   Conclusions and Relevance: in the context of digitalization of the economy and society, the key technology of which is artifi cial intelligence, education is facing technological challenges that force it to adapt to new operating conditions. The penetration of artifi cial intelligence into the field of education is the pattern of scientific and technological progress that cannot be resisted. The positive aspects and threats of using artificial intelligence in education should be critically assessed, and informed decisions should be made on this basis. Considering the specifics of the educational environment in which the foundation of personality is laid, and the need to preserve the values of education as a factor of cultural progress, priority in goal-setting and the meanings of education should remain with a person whose assistant can be artifi cial intelligence.

Simulation research on interactive entertainment e-learning based on visual saliency testing in music multimedia teaching system

In traditional music teaching method, students passively accept information and lack sufficient interaction and participation. Entertainment robots can provide students with a more interesting and engaging learning experience through means such as multimedia content, gamified elements and interactive design. The goal of this research is to develop a technology based on visual saliency testing to improve the performance of entertainment robots in music teaching systems, making them more intelligent and interactive. The research collected a large number of music multimedia teaching materials, and marked and analyzed them. The visual significance test method is used to determine the key points and important information in the teaching materials, and the computer vision technology is used to identify the areas of visual interest to students in real time. Through interaction with students, the system can adapt its output based on student feedback to ensure personalized exploration and teaching of students' points of interest. Finally, an interactive entertainment robot system is designed, which can perform intelligent feedback and interaction according to the significant information in music teaching materials. The results show that the entertainment robot system based on visual salience test shows higher intelligence and interactivity in music multimedia teaching, which greatly improves the teaching experience.

Action capture and VR interactive system for online experimental teaching

The development of technology has intensified people’s interest in virtual reality technology. Virtual reality technology is also widely used in fields such as teaching and healthcare. To improve the real-time and operability of virtual reality interaction systems, a motion capture and virtual reality interaction system design for online experimental teaching is proposed. The active apparent model is used for facial feature point localization, and the joint capture method is improved by combining threshold segmentation and forward kinematics algorithms. Experimental data confirms that compared to Kinect method, the improved hand joint detection method has higher joint positioning accuracy, with a loss rate of less than 40 % for hand joints. The average judgment accuracy of the six facial expression tests is 82 %, 81 %, 79 %, 78 %, 80 %, and 81 %, respectively. The comprehensive recognition accuracy of facial expression recognition is 80.17 %. The read, write, and update times for each frame of the virtual reality interaction system are 102.6 ms and 427 ms, respectively. The system memory usage is 920.5 M, and the CPU and GPU usage rates are 25.2 % and 4.4 %, respectively. The system can run smoothly. The virtual reality system can run continuously for 24 h, with strong operability and low difficulty in expanding system functions, achieving design goals.

Penerapan Konsep Arsitektur Perilaku: Ruang Kelas Pondok Pesantren Al-Hidayah Kota Jambi

Along with the pace of community development, Islamic boarding school education, both in terms of location, form and substance, has undergone many changes. Islamic boarding schools are no longer as simple as people describe them. Islamic boarding schools can experience changes according to the growth and development of the times. One of them is the khalafiyah or modern pesantren, which implements a classical teaching system by providing general knowledge and religious knowledge, as well as providing skills education. One of the Islamic boarding schools that use this education system is the Al Hidayah Islamic Boarding School in Jambi City. The considerations made are related to the behavior patterns of MI students which need to be reformed and improved for the progress of Islamic boarding schools by applying patterns that are appropriate to student behavior. This study aims to obtain a good arrangement of spatial patterns for students to learn. The method is done by taking a simple random sample or called simple random sampling. The results of the study provide recommendations for design patterns that can be applied in the interior space.

The Attitudes of Czech Teachers Towards the Use of Artificial Intelligence in Schools

RESEARCH OBJECTIVE: The objective of this research study was to find out the subjective feelings of Czech teachers regarding the introduction of artificial intelligence into schools.
 THE RESEARCH PROBLEM AND METHODS: The following research questions follow from the research objective: Are Czech teachers worried about the introduction of artificial intelligence into schools? Do Czech teachers see artificial intelligence as a tool that will help them? Do Czech teachers have experience with the use of artificial intelligence? What experience do teachers have with artificial intelligence? To achieve the research objective and answer the research questions, the in-depth interview method with primary and secondary school teachers was used.
 THE PROCESS OF ARGUMENTATION: The first part of the article discusses the concept of artificial intelligence. The second part discussed the use of artificial intelligence in Czech schools. The third part presents the results of a research study was to find out the subjective feelings of Czech teachers regarding the introduction of artificial intelligence into schools.
 RESEARCH RESULTS: As part of the research, it was found that some teachers are concerned about the advent of artificial intelligence and its use in education, especially that students will “misuse” AI to cheat and plagiarize. Most teachers see the application of artificial intelligence in schools as inevitable and realize that it is their task to teach students to use AI effectively. Teachers are also aware that with the implementation of AI into schools, the teaching system will also have to change.
 CONCLUSIONS, RECOMMENDATIONS AND APPLICABLE VALUE OF RESEARCH: We can expect that teachers will consider artificial intelligence as a tool that helps them and makes their work easier. A big impetus will be the integration of artificial intelligence into tools that teachers commonly work with, such as Office 365 or Google Workspace. 

Enablers and Barriers to Achieving Clinical Competency among Dental Students: Lessons for Teaching and Learning

Adaptations to the teaching and learning during the pandemic affected dental students’ ability to achieve clinical competency. This study aimed to: (1) assess the self-reported competencies of dental students affected by the pandemic; (2) describe the enablers and barriers to achieving clinical competency among these students; and (3) to elucidate factors related to the resilience of the teaching and learning system during the pandemic for future adaptations and implementations. A questionnaire consisting of eight domains with 43 questions was sent to Universiti Kebangsaan Malaysia’s (UKM) recent dental graduates from the 2021 cohort. Eight students from the cohort were also interviewed. The semi-structured, in-depth interviews were recorded and transcribed. A total of 56 questionnaires were returned, resulting in a 100% response rate. Seven out of the eight studied domains had a high self-perceived competency score, while only six of the 43 skills had a self-perceived competency score of less than 80%. Eight participants were interviewed for the second part of the study. Multiple enablers and barriers were identified and categorised into five themes, which were clinical time, student mental health, clinical teaching, cross-infection protocols, and communication and other faculty policies. Dental graduates affected by the COVID-19 pandemic had a good level of self-perceived clinical competency. The multiple factors identified as enablers and barriers to achieving clinical competency can be utilised as references in curriculum development, planning and policymaking, especially with regards to adaptations made to the undergraduate dental curricula worldwide.

Enhancing Gesture-Controlled Virtual Mouse and Virtual Keyboard Using AI Techniques

Artificial Intelligence has become an essential part of modern technology. Although computer technology is advanced, it can still be improved to make it more user-friendly. One way to do this is to replace touchscreen desktops with a virtual mouse and keyboard. This can reduce the need for gadgets and enhance human-computer interaction. During the COVID-19 pandemic, reducing human intervention and dependency on devices has been critical in controlling the spread of the virus. This is where a battery-powered or Bluetooth mouse, powered by virtual reality technology, can be helpful. The virtual mouse is created using OpenCV and virtual reality technology, with the proposed system utilizing advanced tools such as MediaPipe and Python. The MediaPipe library is particularly useful in artificial intelligence projects, as it enhances the efficiency of the model. The system is an AI-based mouse and keyboard that can be controlled using hand gestures. The user interacts with the system through the camera output displayed on the screen, while the webcam serves as an input device. Python and OpenCV tools are used for implementation, making it applicable in pandemic situations and smart teaching systems. The proposed system works on Enhancing gesture Controlled Virtual Mouse and Virtual Keyboard through Virtual Assistant using AI Techniques.

FEATURES AND PROBLEMS OF PROFESSIONAL VOCAL EDUCATION AND REFORM EXPLORATION IN MODERN CHINA

Vocal music teaching occupies an important place in the music education and teaching system of colleges and universities, and is also one of the core professional courses for music teaching in colleges and universities. Although vocal music teaching in colleges and universities in China has achieved good results, with the development of society, the traditional teaching model in the PRC has been unable to meet the needs of modern development teaching, especially in terms of concept as well as teaching content and method, which is serious hinders the development of modern teaching. Therefore, it is necessary to reform vocal teaching in Chinese universities. This article first briefly analyzes the current situation of vocal teaching in colleges and universities, and then suggests some strategies for reforming teaching that should be aimed at developing professional talents. The author talks about the need to reform modern teaching methods to diversify teaching and offer students flexible and targeted learning based on real situations and personal characteristics of students to meet the needs of social talent development.

Student’s Thinking Skills At Pesantren

The learning process in education today tends to be focused on developing a memory of the content of information. Few educational institutions still apply learning methods that can train students' thinking skills to find solutions to solving a problem or making a decision. This research aims to identify learning in building the thinking skills of students at Pondok Pesantren (PP) Darussalam Kunir Subang. This pesantren applies the Kuliyyatul Mu'allimin Al-Islamiyah (KMI) which combines a system of educational methodology and pesantren teaching (salaf/traditional) with modern education. The approach used in this research is qualitative with descriptive methods to identify, describe, and analyze information needs regarding learning in the pesantren. The subjects in this research were four administrators, four teachers, and thirty students at PP Darussalam Kunir Subang. Data collection is done by interview, observation, and documentation. Data analysis includes data reduction, data presentation, and conclusions. The results showed that learning at PP Darussalam Kunir Subang in the form of turats deliberation activities could train students' thinking skills. Th Beside that, project-based teaching and problem-based teaching also can help students develop their thinking skills.