Design Of Teaching System Research Articles

Model Construction of College Engineering Drawing Teaching System Based on Artificial Intelligence Network Technology

The integration of artificial intelligence (AI) in education, particularly in engineering drawing courses, enhances content richness and engagement, stimulating student enthusiasm and improving teaching quality. This paper examines the design of a multimedia teaching system incorporating virtual reality (VR) for engineering drawing. Key technologies such as graphics processing, 3D modeling, and dynamic databases are researched. Tools like Dreamweaver, Fireworks, SolidWorks, and 3DS MAX are used to create and integrate 3D models into web pages, forming a 3D model library. This library provides a flexible, content-rich, online learning environment that promotes self-study, enhances spatial imagination, and improves the quality of engineering drawing education. Establishing a virtual model library supports multimedia teaching and replaces traditional physical model rooms.

Teachers Learning On-the-Job Through Participation in an Organizational Routine: A Comparative Case Study of Three Curriculum Materials Adoption Processes for Elementary Science

ABSTRACT There is limited time for elementary teacher professional learning in science in order to meet the aspirational goals of current reform efforts. In this study, we investigated what and how teachers learn on-the-job to gain insight into modes of support less often included in teacher education design. Specifically, we studied elementary teachers’ participation in a system-level organizational routine: curriculum materials adoption processes (CMAPs). Using a communities of practice framework, we explored teacher learning in a comparative case study of three U.S. school districts’ CMAP routines, observing CMAP committee meetings and interviewing participants about their expeirences. We found that what teachers learned varied across each district’s CMAP. We argue this variation can be traced to two CMAP features: (1) teachers’ use of boundary objects and (2) their boundary spanning roles and structures. Results have implications for the design of educational systems’ organizational routines to more intentionally serve a dual role as a professional learning opportunity.

Implementing an Educational Design Based on Hypermedia to Enhance Creative Imagination Among Fifth-Grade Literary Students

The research delves into the intricate design and effectiveness of hypermedia-based educational systems, emphasizing their pivotal role in enhancing learning processes through spatially induced learning formats and creative tools. Hypermedia, a sophisticated form of computer-based media technology, facilitates non-linear, feature-rich media interfaces that significantly augment educational content delivery. This technology transcends traditional instructional tools by embedding navigational methods tailored to diverse learning tasks and environments, thereby fostering deeper understanding and engagement among learners. In this context, the ADDIE model a structured approach comprising Analysis, Design, Development, Implementation, and Evaluation—is crucial for the systematic development of educational programs. Each phase of ADDIE builds upon the insights gained from the previous, starting with a comprehensive analysis of training needs, followed by the design and development of instructional materials that incorporate effective strategies and media. The implementation phase involves deploying these materials through learning management systems, ensuring accessibility and alignment with educational goals. Finally, the evaluation phase seeks feedback to refine and enhance the learning modules, demonstrating ADDIE’s iterative nature and its focus on continuous improvement. Moreover, the study engages with a broader theoretical and methodological discourse, integrating perspectives from instructional design and creative imagination within the framework of hypermedia technology. This integration supports the construction of a learning environment that not only addresses theoretical knowledge but also stimulates creativity and innovation among students. The effectiveness of these instructional strategies is evidenced through rigorous assessments and evaluations, highlighting the significant impact of hypermedia on student creativity, problem-solving skills, and overall academic performance. This comprehensive approach not only validates the use of hypermedia in educational settings but also outlines potential improvements and future directions for integrating technology in learning processes, thereby contributing to the evolving landscape of educational technology and pedagogy.

Design and Implementation of a Virtual Experimental Teaching System for Deep Energy Exploitation Based on Digital Twin Technology

The exploration and development of deep oil and gas resources are becoming the primary focus in the fossil energy sector, thereby increasing the demand for highly skilled engineers. Colleges and universities play a crucial role in cultivating talent in petroleum engineering. However, the current traditional teaching systems, particularly in experimental practices, face significant challenges, such as low efficiency, limited environments, and a disconnect between theoretical knowledge and practical application. To address these issues and enhance learners’ practical abilities and comprehension, we introduced digital twin technology into the experimental teaching of deep energy exploitation. This paper analyzes innovative pedagogical approaches, with a special emphasis on the real-time visualization of hydraulic fracturing. Supported by the National Key Laboratory of Chengdu University of Technology, our research team developed multiple digital twin platforms for both indoor and onsite hydraulic fracturing. These platforms utilize advanced algorithms and models, enabling real-time data acquisition and visualization analysis. Pilot teaching results demonstrate that the virtual experimental system based on digital twin technology encourages active learner engagement, improves their understanding of digitalization in engineering, and enhances their professional skills in deep oil and gas exploration. The digital twin-based visualization system is a valuable tool for experimental teaching in deep energy exploitation, and its application could serve as a model for other engineering disciplines.

Design and Application of Art Design Information Teaching System Based on Federated Learning

This paper presents a federation learning visualization framework using machine learning to tackle the data island issue and enhance information-based teaching systems. Leveraging machine learning, teachers understand classroom limitations and enact corresponding enhancements. The framework aims for resource sharing, enriching teaching methods, providing diverse online learning opportunities, and overcoming temporal and geographical constraints. The integrated database enables access to a wide range of materials. Results indicate a 30.26% improvement over traditional methods, demonstrating enhanced learning efficiency. Integrating online self-study and offline teaching promotes comprehensive learning outcomes and practical applications in art design education, fostering diverse teaching modes and enriching learning experiences.

Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis

In response to the burgeoning interest in the Metaverse—a virtual reality-driven immersive digital world—this study delves into the pivotal role of AI in shaping its functionalities and elevating user engagement. Focused on recent advancements, prevailing challenges, and potential future developments, our research draws from a comprehensive analysis grounded in meticulous methodology. The study, informed by credible sources including SD, Scopus, IEEE, and WoS, encompasses 846 retrieved studies. Through a rigorous selection process, 54 research papers were identified as relevant, forming the basis for a specific taxonomy of AI in the Metaverse. Our examination spans diverse dimensions of the Metaverse, encompassing augmented reality, virtual reality, mixed reality, Blockchain, Agent Systems, Intelligent NPCs, Societal and Educational Impact, HCI and Systems Design, and Technical Aspects. Emphasizing the necessity of adopting trustworthy AI in the Metaverse, our findings underscore its potential to enhance user experience, safeguard privacy, and promote responsible technology use. This paper not only sheds light on the scholarly interest in the Metaverse but also explores its impact on human behavior, education, societal norms, and community dynamics. Serving as a foundation for future development and responsible implementation of the Metaverse concept, our research identifies and addresses seven open issues, providing indispensable insights for subsequent studies on the integration of AI in the Metaverse.

Design of Basketball Teaching and Training System Based on 5G Technology Support in a Wireless Network

This research evaluates the efficacy of a basketball-based teaching and training system supported by 5G technology in a wireless network environment. Initially are information about the Chinese basketball students is first gathered and then divided into a Control Group (CG) and an Experimental Group (EG). The control group uses the standard method of collegiate basketball instruction, while the experimental group learns the game under the background of 5G technology. For transmitting the basketball teaching data in the 5G network, we proposed a novel routing protocol named Probability-based Coupling Zone Routing Protocol (PbCZRP). An optimization technique called the Shark optimization approach is used to enhance the performance of the routing protocol. Finally, a comparison of the two groups reveals that the experimental group's basketball players fared better than the control group. The basketball training plan powered by 5G will supply students with adaptive learning services that take into account their individual needs and strengths.

반도체 제조공정 전문인력 양성을 위한 NCS 기반 교육 프로그램 개발

Objectives This study was conducted to develop an education program based on the NCS(National Competency Standards) that can be applied to students in semiconductor-related departments to train semiconductor manufacturing process experts. Methods To this end, a development team was formed including content experts in the semiconductor field and instructional design experts in the pedagogy field. In addition, NCS in the next-generation semiconductor manufacturing process field was selected through analysis of previous research on job competencies in the semiconductor field. Afterwards, an educational program was developed according to the procedures and methods of the RPISD(Rapid Prototype to Instructional System Design) model, an alternative instructional design model. Results The training program developed in this study consisted of two main components: group training for theoretical training and subgroup training for practical training. Theoretical education was designed as a mixture of online and offline methods to accommodate differences in learners' prerequisite knowledge, allowing students to repeat the course according to their individual level. In addition, content related to equipment operation and advanced learning was conducted offline to increase convergence with practical training. In addition, the entire program was operated as a team-based project learning to promote constructivist learning activities. In addition, programs such as career suitability assessment, counseling, and semiconductor company interview mentoring were also conducted to support employment activities. Conclusions This study is significant in that it developed an educational program that can develop job competencies for job seekers in semiconductor-related departments in a situation where there are very few opportunities to experience the semiconductor manufacturing process. In particular, it is more meaningful in that it was developed systematically by actively reflecting the opinions of education consumers, and that classes were structured using constructivist teaching and learning methods using online/offline blending and team-based project learning.

Artificial intelligence-based design of English teaching system

Artificial intelligence-based design of English teaching system

Viewing the influence of Vkhutemas on the Bauhaus from the perspective of production art: Main concepts and directions

After the October Revolution of 1917, the Russian avant-garde established close relations with the German left wing. Vkhutemas, as the center of the Russian avant-garde, also had an important influence on the development of the Bauhaus. This study examines the specific path and results of the influence of Vkhutemas on the Bauhaus in terms of concept, structural transformation and production strategy in order to clarify the relationship between them. In this work, Vkhutemas is taken as the center, based on the analysis of conceptual principles, structural transformations and production strategies, specific ways and manifestations of the influence of the Russian avant-garde on the Bauhaus in various periods of the 1920s are explored. This comprehensive and multidimensional Russian influence not only develops the modern system of design education and finally consolidates the historical status of the Bauhaus, but also lays the foundation for its final fate. Firstly, on an ideological level, the goals of Russian production are directly related to the construction of socialism, to the creation of a system of proletarian culture, which Avartov calls proletarian, which largely coincides with the left-wing ideals of Gropius. Secondly, at the level of artistic thought, productivism and constructivism, as new ideas of the early 20th century, represented the contribution of the Russian avant-garde to modernist design. Finally, at the level of educational practice, thanks to the introduction of Russian constructivism by Moholy Nagy, the Bauhaus created a prototype of the three main components of modern design education, taking lessons from teaching composition by Vkhutemas, and opened the transition from expressionism to function. This was a new stage in the transformation of socialism, and thus formed the classic image of the Bauhaus for the outside world.

Expectancy from, and acceptance of augmented reality in dental education programs: A structural equation model.

Dental schools need hands-on training and feedback. Augmented reality (AR) and virtual reality (VR) technologies enable remote work and training. Education programs only partially integrated these technologies. For better technology integration, infrastructure readiness, prior-knowledge readiness, expectations, and learner attitudes toward AR and VR technologies must be understood together. Thus, this study creates a structural equation model to understand how these factors affect dental students' technology use. A correlational survey was done. Four questionnaires were sent to 755 dental students from three schools. These participants were convenience-sampled. Surveys were developed using validity tests like explanatory and confirmatory factor analyses, Cronbach's ɑ, and composite reliability. Ten primary research hypotheses are tested with path analysis. A total of 81.22% responded to the survey (755 out of 930). Positive AR attitude, expectancy, and acceptance were endogenous variables. Positive attitudes toward AR were significantly influenced by two exogenous variables: infrastructure readiness (B=0.359, β=0.386, L=0.305, U=0.457, p=0.002) and prior-knowledge readiness (B=-0.056, β=0.306, L=0.305, U=0.457, p=0.002). Expectancy from AR was affected by infrastructure, prior knowledge, and positive and negative AR attitudes. Infrastructure, prior-knowledge readiness, and positive attitude toward AR had positive effects on expectancy from AR (B=0.201, β=0.204, L=0.140, U=0.267, p=0.002). Negative attitude had a negative impact (B=-0.056, β=-0.054, L=0.091, U=0.182, p=0.002). Another exogenous variable was AR acceptance, which was affected by infrastructure, prior-knowledge preparation, positive attitudes, and expectancy. Significant differences were found in infrastructure, prior-knowledge readiness, positive attitude toward AR, and expectancy from AR (B=0.041, β=0.046, L=0.026, U=0.086, p=0.054). Infrastructure and prior-knowledge readiness for AR significantly affect positive AR attitudes. Together, these three criteria boost AR's potential. Infrastructure readiness, prior-knowledge readiness, positive attitudes toward AR, and AR expectations all increase AR adoption. The study provides insights that can help instructional system designers, developers, dental education institutions, and program developers better integrate these technologies into dental education programs. Integration can improve dental students' hands-on experience and program performance by providing training options anywhere and anytime.

Research and Design of Auxiliary Teaching System for College Students’ Civics and Political Science Courses in the Context of Deep Learning

At present, the auxiliary teaching system for Civics and Politics courses has problems such as low accuracy of knowledge state prediction and insignificant effect of personalized learning, which affects the actual learning effect. In this paper, we analyze the demand for the teaching of college students’ Civics and Politics based on the background of deep learning, and discuss the overall design of the system. Based on the open-source online teaching system CAT-SOOP, a set of augmented learning algorithm-based Civics course assisted teaching system is designed and implemented, which is based on the student practice data, training student knowledge tracking model and augmented learning recommendation engine for assisting the personalized recommendation of student’s Civics exercises. The results show that compared with the random recommendation method, the relevance of the recommended exercises of this system is improved from 0.03 to 0.238, the reward value is more stable, and the maximum value is improved by 0.2. The Civics course assisted teaching system designed in this paper for college students achieves the expected goals and meets the diversified needs of the audience of intelligent Civics education.

Design of interactive online teaching system for big data computer information system based on mobile sensor network

The combination of the Internet and computers has resulted in many new products, including smart homes. The emergence of smart homes can satisfy people's detection of the internal environment of the home, not only to ensure the continuity and safety of indoor monitoring, but also to provide convenience for people to manage their family life. This paper analyzes the current status of smart home research at home and abroad, and people's needs for homes, and builds and designs smart home systems based on Ethernet and ZigBee protocol wireless sensor networks connected to TCP/IP protocol. In this article, the ARM chip is used in the Android system to ensure that the system and functions are matched, and information is transmitted through the serial port of the development board. After receiving the corresponding sending signal, the wireless module will use ZigBee technology to send the corresponding signal to achieve the goal of controlling home appliances. We divides the control system into two parts, the Android Voice Control Platform and the data collection terminal. The former is based on the Android operating system and is designed for voice recognition control; the latter uses a ZigBee microcontroller to achieve control and feedback. This article uses the built-in voice control system of the smart home to subtly replace the conventional control method of the smart home. Moreover, the dialogue with users is very high, easy to use, low cost, and very practical. In addition, the research methods used in this article can also be applied to other related fields.

Design and development of a mixed reality teaching systems for IV cannulation and clinical instruction

AbstractIntravenous cannulation (IV) is a common technique used in clinical infusion. This study developed a mixed reality IV cannulation teaching system based on the Hololens2 platform. The paper integrates cognitive‐affective theory of learning with media (CATLM) and investigates the cognitive engagement and willingness to use the system from the learners' perspective. Through experimental research on 125 subjects, the variables affecting learners' cognitive engagement and intention to use were determined. On the basis of CATLM, three new mixed reality attributes, immersion, system verisimilitude, and response time, were introduced, and their relationships with cognitive participation and willingness to use were determined. The results show that high immersion of mixed reality technology promotes students' higher cognitive engagement; however, this high immersion does not significantly affect learners' intention to use mixed reality technology for learning. Overall, cognitive and emotional theories are effective in mixed reality environments, and the model has good adaptability. This study provides a reference for the application of mixed reality technology in medical education.

Design of a Computer Technology-Based Teaching System for College Students Mental Health Course

The hypothetical discussion describes the design of a personal computer innovation-based display structure tailored specifically for subordinates enrolled in an educational well-being course. Using a sophisticated approach, this structure intends to raise understudy devotion, urge dynamic studying, and enhance profitability. The displaying framework promotes reflective thinking, resolute thinking, and the acquisition of practical qualities associated with psychological wellness through the use of intuitive multimedia, competitive elements, and tailored input. This innovative displaying structure allows students to grow a more substantial grasp of mental health concerns while growing their personal psychic flourishing in a consistent and enticing teaching environment through the integration of cutting-edge technology with informative content. Modern instructional tactics stay frequently grounded in scheduled exam-based schooling besides infrequently actually caring about the root cause of pupils' questions, although flipping psychological training methods have emerged in some sectors. The primary goal of this concept is to combine digital intelligence with flipping laboratory brain studies. This essay focuses on the characteristics of fraudulent learning as well as the symbolic significance of flipping their house. What exactly are the advantages of the smart display stage over traditional learning? The following piece chooses crucial 1, the classroom, important 2, the school, main 3, the group, and key 4, from our institution's undergraduates. The A1 and B1 groups guide an academic year of artificial intellect, along with the concept of inverted classrooms for neuroscience. Bundles A2 and B2 depict the under study in accordance with normal training. According to the study data, the size of gatherings A1 and B1 increased respectively. Gatherings A1 and B1 had higher midterm and final normal scores respectively, than assemblages A2 and B2, and their scores have increased by a rate. The influence of artificial intelligence and flipping residence mind study on mental health in education programs may additionally energize subordinates' benefit and forward the advancement of understudy's display throughout autonomous education.

Video Analysis of Physical Education Teaching and Design of Intelligent Assistant Teaching System: Based on Motion Recognition and Optimization Algorithm

Nowadays, science and technology has rapidly increasing due to the specific requirements of education. The main aim of this technique is to enhance the physical education activities and helps sports man to finest teaching facilities of these activities. Moreover, the body changes with sports activities based on Deep Learning (DL) frameworks and classifier technology are examined to promote the practical application. Therefore, this paper Deep Reinforcement Learning based Chimp optimization (DRLbCO) algorithm was developed to improve the teaching efficiency of physical education system through the intelligent computer aided assessment models. Also, this model improving the performance, enhancing coaching effectiveness, and gaining competitive advantages in sports. Consequently, the proposed system is based on DL based image detection model DRL, which can analyse and provides proper actions in teaching students and enhance the ability of motion analysis in sports video training quality. Moreover, the DL model is integrated with optimization algorithm to optimize the performance. This could involve reinforcement learning, and other classifiers such as Support Vector Machine (SVM). Based on this provides feedback to students and teachers during physical education classes. The developed model is significantly enhances the physical education teaching student action in virtual sports instruction. Overall intention of the video assessment system of the sports training performance in analyzed.

Design and Implementation of a Physical Education Teaching and Training Mode Management System

With the advent of the smart age, all industries are undergoing revolutionary changes, and more reliable, faster, and unmanned data analysis and mining have become a prominent feature of today's industry. With basketball as an iconic sport, better data processing models will drive sports games to be played more efficiently. As an essential sport in China, basketball has more than 100 years of history. With the leap development of basketball, data analysis technology has also been widely used. The data seen in basketball games is a set of systematic data formed by professional workers through division of labor and close cooperation, classification and aggregation, and statistical analysis. In addition, based on the information on the court, spectators get a general idea of how the players perform in the Game and predict where the data will go. This article explores the significance and application of basketball game data analysis methods and shows that the analysis of basketball game data can effectively promote the development of basketball.

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 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.

Preparing Future Designers for their Role in Co‐Design: Student Insights on Learning Co‐Design

AbstractThe state‐of‐the‐art literature indicates an increasing need for co‐design education as it is imperative to equip future designers with the co‐designing mindset. This derives from the significance of involving ‘people with lived experience’ in co‐design processes to better meet their needs. However, the traditional design education system seems to include mostly individual designing skills, causing a lack of skills in design students to facilitate the active participation of people in co‐design. This paper reports on a case study carried out in a third‐year Bachelor industrial design engineering course with design students (n = 32) and design educators (n = 4) to find an effective and efficient way of preparing future designers for their role in co‐design and to gain insights into design students' experience with learning about co‐design. As an instructional method, a co‐design workshop including the game‐play, game‐modding and game‐design approaches is introduced. The obstacles and confusion of the design students regarding co‐design and co‐design education, which they have documented throughout the year on their personalised logbooks, are explained to eliminate them in the future for smoother incorporation of co‐design education into design education curricula. Lastly, for future designers' mindfulness of co‐design and their role as facilitators suggestions are provided such as accreditation of curriculum activities regarding co‐design education.