Application Of Educational Technology Research Articles

Multimodal fusion-powered English speaking robot

IntroductionSpeech recognition and multimodal learning are two critical areas in machine learning. Current multimodal speech recognition systems often encounter challenges such as high computational demands and model complexity.MethodsTo overcome these issues, we propose a novel framework-EnglishAL-Net, a Multimodal Fusion-powered English Speaking Robot. This framework leverages the ALBEF model, optimizing it for real-time speech and multimodal interaction, and incorporates a newly designed text and image editor to fuse visual and textual information. The robot processes dynamic spoken input through the integration of Neural Machine Translation (NMT), enhancing its ability to understand and respond to spoken language.Results and discussionIn the experimental section, we constructed a dataset containing various scenarios and oral instructions for testing. The results show that compared to traditional unimodal processing methods, our model significantly improves both language understanding accuracy and response time. This research not only enhances the performance of multimodal interaction in robots but also opens up new possibilities for applications of robotic technology in education, rescue, customer service, and other fields, holding significant theoretical and practical value.

Factors Affecting the Use of ICT by Teachers at Nan Yang Technician College, China

Background and Aims: Nowadays, the application of information and communication technology in education is becoming increasingly widespread, which poses new requirements for the ICT application ability of teachers. The aim of this study is to explore: (1) The ICT ability level of teachers at Nan Yang Technician College; and (2) Factors affecting the ICT ability of teachers at Nan Yang Technician College. Methodology: The data was collected from 185 Chinese teachers from a technician school engaged by using the questionnaires and analyzed by Mean, standard deviation, and one-way ANOVA. Results: Research has found that: (1) The overall ICT application ability of teachers at Nan Yang Technician College is at a good level (M=3.56). From the five dimensions, only the evaluation and diagnosis dimensions are at a poor level (M=2.68; SD=0.92). The Technician literacy dimension (M=3.86; SD=0.65) and the learning and development dimension scored the highest (M=3.87; SD=0.62), both reaching a good level. The dimensions of planning and preparation (M=3.19; SD=0.64) and organization and management (M=3.35; SD=0.98) are at a moderate level. (2) There are significant differences in ICT application abilities among teachers of different age groups. The overall level of young vocational school teachers is higher than that of older teachers, especially in terms of planning and preparation, as well as organization and management. There is no significant difference in ICT application ability among teachers of different genders, educational levels, and teaching majors. Conclusion: The overall score of ICT application ability of teachers at Nanyang Technician College is at a good level, but it is relatively low compared to teachers from similar schools. The evaluation and diagnosis dimensions are at a poor level. In terms of influencing factors, age has a significant impact on the teachers of Nanyang Technician College. The ICT application ability score of older teachers is significantly lower than that of younger teachers. The ICT application ability of older teachers needs to be paid attention to. Other factors such as gender, education level, and the courses taught have no significant impact on the ICT application ability of teachers. Based on the analysis of research results, this study suggests that unique ICT enhancement strategies should be developed for different age groups of teachers. The development of learning activities should be based on the analysis of the teacher's situation, such as strengthening the evaluation and diagnostic abilities of teachers.

Exploring Teachers' Role Changes in an Informationalized Teaching Environment

With the rapid development of information technology, the field of education is undergoing a profound change. In this context, the change of teachers' roles has become the key to promote educational innovation and improve teaching quality. Through an empirical study of teachers' role change under the application of modern educational technology, this article discusses how teachers can adapt to the new teaching environment and promote the comprehensive development of students' abilities through technology integration, instructional design, learning guidance and lifelong learning. The article aims to provide reference and inspiration for educational policy makers and frontline teachers.

Chatgpt Assisted Teachers in Improving Formative Assessment

In recent years, the application of artificial intelligence technology in education has received widespread attention, but its specific utility and challenges in formative assessment remain underexplored. This research paper investigates the value of ChatGPT in aiding teachers with exam design and providing student feedback. Through comprehensive interviews, the study analyses the actual effectiveness and challenges of using ChatGPT to enhance teaching efficiency and optimize student feedback. The findings indicate that ChatGPT offers significant advantages in generating diverse assessment questions and personalized feedback. However, teachers must validate and edit the AI-generated content to ensure its accuracy and relevance. Based on these insights, the paper provides several key recommendations: validating AI-generated content, enhancing teacher training, and maintaining teachers' professional independence. These steps are essential to optimize the quality and efficiency of educational assessments. This research aims to contribute to the better integration of AI technologies in education by addressing both their potential and their limitations comprehensively.

Analyzing the Impact of Learning Technology on the Quality of Education in Schools: Potential and Risks

This research examines the impact of learning technologies on the quality of education in schools, focusing on the potential and associated risks. In the digital era, the integration of technology in the teaching and learning process is becoming increasingly important. This research method uses a qualitative approach with literature study techniques to analyze and understand the impact of learning technology on the quality of education. Learning technology contributes significantly to improving the quality of education in schools, both in terms of accessibility and quality of learning processes. Technology allows students to access a wide range of information sources and learning materials and supports more flexible and interactive learning. With educational apps, learning videos and online platforms, students can study independently outside of school hours and adapt learning to their own style and pace. This helps to create a more personalized and adaptive learning experience, which results in increased student motivation and understanding of the material. However, the application of technology in education also brings a number of risks that need to be taken seriously. One of the main risks is that students' dependence on technological devices can reduce their ability to think critically and solve problems independently. This implies that schools and governments need to develop policies that support the effective application of technology, including teacher training in integrating technology with the curriculum, provision of adequate infrastructure, and efforts to ensure equal access for all students.

Advancements and Application of Artificial Intelligence Technologies in Education

In the field of education, information technology has been widely used in teaching and learning activities, bringing more efficient learning process for teachers as well as students. However, there are still some problems. The rapid development of Artificial Intelligence (AI) technology has brought a positive effect on the change of education technology. In this paper, the author did some investigation on the research of AI in education. The results of different researchers are divided into three parts in terms of application scenarios. The first part is student performance prediction. In this part, the author has categorized into machine learning and deep learning based on the kind of methods utilized. The second part is student data analysis, which can be functionally categorized into two directions, facial recognition and text analysis, based on the direction of the research. In the third part, the author summarizes some cases of AI-assisted teaching that are closer to actual teaching activities. These cases present solutions to the current deficiencies in the field of education, proving the efficiency of AI. Based on extensive research on many papers, the author suggests that AI currently faces difficult challenges in terms of interpretability, applicability, and safety. The application of AI in education can be improved in the future through technologies such as Open Learner Models (OLMs), expert system, and transfer learning. This paper provides an overview reference for research in this area.

Exploring the Practical Teaching Mode of Language Laboratory based on Artificial Intelligence

With the rapid development of artificial intelligence (AI) technology, its application in the field of education is becoming more and more extensive, especially in the teaching mode of language laboratory, AI technology shows great potential and innovation space. The purpose of this paper is to explore the practical teaching mode of language lab based on artificial intelligence, and to reveal its advantages and challenges in language learning by analysing the current status of the application of AI technology in teaching. This study aims to explore the in-depth analysis of the research on the practical teaching mode of language labs based on artificial intelligence. Firstly, it introduces the problems of language labs and analyses the limitations and problems of traditional labs. Secondly, the language laboratory solution measures are elaborated in detail to construct the practical teaching mode of language laboratory based on artificial intelligence. Then, the practical teaching mode of language laboratory based on artificial intelligence is explored. Finally, the application value of the language laboratory of artificial intelligence in the aspects of linguistic research and teaching practicability is discussed. As an innovative application of educational technology, the language laboratory of artificial intelligence has a positive role in promoting the transformation of the modern language teaching mode, and provides new perspectives and methods for foreign language teaching. This paper focuses on the design and construction of the practical language teaching mode of artificial intelligence. With the rapid development of artificial intelligence technology, its application in the field of education has become increasingly widespread. In language teaching, the construction of an AI-based practical teaching model can help to improve teaching efficiency and quality and stimulate students’ interest in learning. This paper elaborates the design principles, construction elements, implementation process and effect evaluation of this teaching mode from various aspects.

Enhancing University English Teaching through Mobile Interactive Applications from an Educational Technology Perspective

In the context of globalization and rapid advancements in information technology (IT), the application of educational technology in higher education has become increasingly prevalent. Particularly in university English teaching, mobile interactive applications have emerged as a significant teaching model. These applications transcend the constraints of time and space, providing students with a flexible learning environment that promotes interaction between teachers and students, thereby enhancing learning outcomes. However, existing research has primarily focused on the technological development and effectiveness evaluation of mobile interactive applications, neglecting the impact of student interaction and trust on learning outcomes. Additionally, there is a lack of dynamism and personalization in the recommendation of educational resources and study partners. This study constructs global and local dynamic trust models for mobile interactions, calculates trustworthiness based on mobile interactive behaviors, and integrates mobile interaction trust relationships and behaviors with a dynamic English recommendation algorithm, thereby providing a new theoretical framework and a practical approach for university English teaching, aiming to enhance the teaching effectiveness and improve students’ learning experiences.

Designing Semantic Tutoring Maps for Enhancing Peer Learning through Lesson Preparation

Advancements in Natural Language Processing technology present significant opportunities to enhance student learning through peer tutoring. While there is substantial research on the effectiveness of peer tutoring in learning science, few studies focus on the lesson preparation stage of peer tutoring. This study utilizes Semantic Web technologies to organize tutoring maps, aiming to develop an innovative learning artifact to address this research gap. Adopting a design-based research methodology, this study first provides a literature review regarding the application of semantic technology in education and peer tutoring preparation. Subsequently, a tutoring map application based on a semantic database is developed, encompassing the organization and storage of tutoring lesson plans using Resource Description Framework (RDF) technology, and the querying and feedback on lesson plan quality based on SPARQL Protocol and RDF Query Language (SPARQL) technology. This paper describes the theoretical basis and design rationale by which student tutors’ learning is improved through structured tutoring preparation. This includes enhancing cognitive and meta-cognitive abilities in designing learning activities, raising questions, anticipating answers, and providing guidance responses to incorrect answers. The paper concludes with recommendations for educational researchers and practitioners. Future research will focus on empirical studies of peer tutoring in scientific fields to verify the validity and adaptability of the design, further facilitating peer learning by tutoring and collective knowledge building.

Research on the Development of Piano Education Based on Bibliometric and Visualization Analysis

This paper aims to employ bibliometrics and visualization analysis to investigate the current development status and research hotspots in the field of piano education. The literature data is obtained from the Web of Science Core Collection database, analyzing publication years, core journals, courtiers/regions distribution, keyword co-occurrence maps, and highly cited papers in this research area. The results indicate that the number of relevant publications began rapidly growing in 2015. The United States and China are identified as the core countries for publications; however, the level of international collaboration remains relatively low. Major research hotspots include the innovative application of artificial intelligence (AI) and augmented reality (AR) technologies in piano education, online education, cross-cultural education, etc.

Application and Effect Evaluation of Information Technology in Physical Education

The Kalman filter and extended Kalman filter algorithm are widely used in physical education video processing, but their performance still needs to be improved for complex backgrounds or high dynamic targets. This paper presents an interactive multi-model algorithm. The displacement detection Kalman filter is used to track moving objects. This method can solve the problem of a single model not being able to match the motion features well. Finally, the simulation experiment of football match video proves that the proposed method can significantly improve the tracking accuracy of moving objects in video.

Immersive Technology in Education

ABSTRACTImmersive technologies like virtual reality (VR) and augmented reality (AR) are transforming higher education by providing engaging, experiential learning opportunities. However, their integration into educational practices presents challenges, including high costs, technological complexity, and the digital divide. This panel explores the application of immersive technologies in higher education, focusing on developing an immersive technology lab designed to support their adoption across the institution. The discussion will cover global perspectives on immersive learning, showcasing varied adoption rates and strategies across different regions. Additionally, the panel will highlight research opportunities in immersive education, emphasizing the need for studies on effective integration, impact on learning outcomes, and strategies to overcome barriers to adoption. The goal is to identify sustainable approaches to expose staff and students to immersive technologies, ensuring equitable opportunities for all stakeholders.

Development of a QR Code-Based Inventory System and Consumable Material Management using Django Python

Inventory management and consumable materials in educational institutions, particularly at the Faculty of Health at Nurul Jadid University, face significant challenges. Current manual recording and reporting methods are prone to errors, leading to operational inefficiencies and financial risks, especially given the high cost of medical equipment. In addition, unrecorded inventory data can be lost, and consumable materials can either run out prematurely or accumulate unused. Lack of transparency and accuracy in tracking further complicated planning and decision-making. QR Code technology and the Django Python framework are widely used in other industries; however, their application in education, particularly healthcare, remains underexplored. Unlike previous studies that primarily focused on commercial applications, this study delves into the underexamined area of healthcare inventory management in educational settings, offering a scalable and efficient solution using modern technology. This study addresses these empirical and research gaps by developing a QR Code-based inventory system using Django Python to manage consumable materials at the Faculty of Health. The proposed system enhances efficiency, accuracy, and transparency by providing real-time data for better decision-making. The evaluation will focus on reliability, user-friendliness, ease of access, response time, and user satisfaction. This research not only contributes to the literature on technology applications in education but also provides a practical model for other institutions.

Leveraging Educational Technology in Liberal Arts Dance Sports: Exploring Effectiveness and Sustainable Application

This study explored the effectiveness and sustainable application of educational technology in a university liberal arts dance sports class. A qualitative case study was conducted with nine students enrolled in liberal arts physical education classes at S University in Seoul in 2023. It focused on how educational technology, including apps such as Pose & Tracking and Slopro, can enhance students’ understanding of dance movements, promote active discussion, and facilitate objective assessment. The findings indicate that the use of these technologies not only improved the students’ learning experiences by facilitating visualization and feedback but also supported collaborative learning and creative expression. This study highlights the potential of educational technology to enhance the quality of liberal arts physical education by making learning highly engaging and effective.

Using maple software to reduce problem solving errors in teaching mathematics to future computer science teachers

This article discusses some possible uses of Maple in mathematics. Mathematics is currently in a constant state of development in the application of computer technology in education and research. The use of algebraic systems in education is still relatively small, but growing research and interest in them point to their widespread use. There are complex and abstract ideas that present an insurmountable obstacle for many students in solving basic concepts and proving many mathematical concepts. One of the most powerful computer programs that helps in learning mathematics is Maple. Maple allows you to explain classic mathematical concepts in a practical and effective way. The effectiveness of Maple is due to its ability to visualize concepts and solve complex problems that are difficult to solve manually. Maple's features help students develop new methods and better understand, learn and teach complex concepts, advanced mathematical concepts and more. Ideal for students who are developing problem solving skills and advanced development skills. Allows students to solve mathematical problems step by step. Students can practice using various integration rules.

Digital Technology Applications in Construction Education: A Systematic Review of Methodological Pluralism

ABSTRACT The purpose of this study is to provide a systematic analysis of the nexus of methodological pluralism and digital technology pedagogies in construction education literature. Recent technological advancements transform the built-environment-related fields rapidly, and this transformation has the potential to improve productivity and efficiency in the industry. Alongside this transformation, the future workforce should be equipped with skills to accelerate the adoption of evolving technologies. Considering these, this study systematically reviewed over 100 papers in the construction education literature with a qualitative analysis. The majority of the reviewed studies use quasi-experimental design, and several technological advancements are utilized in teaching core construction concepts, mainly building information modeling (BIM) and extended reality (XR). With the applied nature of the construction domain, various studies utilized technology to introduce virtual site visits, quantity take-off and estimating, visualization, scheduling, surveying, and communication. Together with these, this study contributes to the body of knowledge by revealing methodological approaches commonly used by researchers to help spur the growth of research efforts in digital technology utilization in construction, with its significant potential to be one of the reference guides in the construction education literature.

Application of training technology in professional education

The article discusses training technology and its application in vocational education. The main stages of training are explained: from personal experience to active experimentation. Various types of training technologies and their subtypes are considered depending on the purpose, number of participants and delivery method. Since training technology is not the only method of organizing the educational process, the advantages of using training in the classroom are explained.

Ecolinguistic Thinking on the Application of Information Technology in International Chinese Education

The existing education system cannot meet the Chinese learning needs of social groups well. There are certain problems in ecological, balanced and benign development. Since the new century, information technology has developed rapidly, and Internet technology has been widely used in cross-cultural education. Starting from the current development status of international Chinese education in the new era, this paper takes its healthy development as the guiding principle, explores the feasible ideas of promoting educational development through interdisciplinary studies from the perspective of ecolinguistics, proposes some development strategies for international Chinese education, strengthens the construction of international Chinese education response mechanism for emergencies, promotes the effective allocation of international Chinese education resources, and especially strengthens the in-depth application of modern information technology in all aspects and fields of international Chinese education.

Application of artificial intelligence (AI) technology in tvet education: Ethical issues and policy implementation

Application of artificial intelligence (AI) technology in tvet education: Ethical issues and policy implementation

Application of Rain Classroom in College English Teaching: An Exploratory Analysis of Teacher Experience on Workload and Efficiency

This study aims to explore the impact of the Rain Classroom platform on teachers’ workload and efficiency in college English classrooms. Through semi-structured interviews and classroom observations with several university English teachers who have used Rain Classroom, the findings indicate that while the platform reduces certain repetitive tasks and enhances classroom interaction efficiency, it also increases the technological learning and operational burden on teachers. The study provides valuable theoretical and practical insights for the effective application of educational technology in language teaching.