Traditional Teaching Model Research Articles

Application and Evaluation of the Effectiveness of Artificial Intelligence in Personalized Learning

The application of artificial intelligence (AI) in personalized learning has demonstrated remarkable advantages, including intelligent assessment, resource recommendation, and teaching optimization, effectively enhancing learning outcomes and engagement. However, this process has also revealed several issues. Firstly, technical challenges and limitations hinder AI's ability to fully adapt to each student's individual needs, requiring further improvements in algorithm accuracy and reliability. Secondly, data privacy and security issues have become increasingly prominent, necessitating robust measures to protect student data from misuse and leakage. Lastly, challenges in the educational system and mindset must be addressed, focusing on how to integrate AI technology into traditional education models while maintaining teaching quality. To address these issues, continuous research and development, enhanced data protection, and the updating of educational systems and mindsets are required to fully harness the potential of AI in personalized learning.

Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education

BackgroundCardiovascular diseases present a significant challenge in clinical practice due to their sudden onset and rapid progression. The management of these conditions necessitates cardiologists to possess strong clinical reasoning and individual competencies. The internship phase is crucial for medical students to transition from theory to practical application, with an emphasis on developing clinical thinking and skills. Despite the critical need for education on cardiovascular diseases, there is a noticeable gap in research regarding the utilization of artificial intelligence in clinical simulation teaching.ObjectiveThis study aims to evaluate the effect and influence of AI-empowered scenario-based simulation teaching mode in the teaching of cardiovascular diseases.MethodsThe study utilized a quasi-experimental research design and mixed-methods. The control group comprised 32 students using traditional teaching mode, while the experimental group included 34 students who were instructed on cardiovascular diseases using the AI-empowered scenario-based simulation teaching mode. Data collection included post-class tests, “Mini-CEX” assessments, Clinical critical thinking scale from both groups, and satisfaction surveys from experimental group. Qualitative data were gathered through semi-structured interviews.ResultsResearch shows that compared with traditional teaching models, AI-empowered scenario-based simulation teaching mode significantly improve students’ performance in many aspects. The theoretical knowledge scores(P < 0.001), clinical operation skills(P = 0.0416) and clinical critical thinking abilities of students(P < 0.001) in the experimental group were significantly improved. The satisfaction survey showed that students in the experimental group were more satisfied with the teaching scene(P = 0.008), Individual participation(P = 0.006) and teaching content(P = 0.009). There is no significant difference in course discussion, group cooperation and teaching style of teachers(P > 0.05). Additionally, the qualitative data from the interviews highlighted three themes: (1) Positive new learning experience, (2) Improved clinical critical thinking skills, and (3) Valuable suggestions and concerns for further improvement.ConclusionThe AI-empowered scenario simulation teaching Mode plays an important role in the improvement of clinical thinking and skills of medical undergraduates. This study believes that the AI-empowered scenario simulation teaching mode is an effective and feasible teaching model, which is worthy of promotion in other courses.

Study on Learning Satisfaction of Financial Management Courses Based on Project-Based Flipped Classroom (PjBFC)

In recent years, social media, smartphones, and computers have been increasingly used in classrooms. The traditional education model has been greatly challenged. This study combines the two teaching methods of project-based learning and flipped classroom into one to form the teaching model of PjBFC, and studies the students' learning satisfaction with this teaching method through TAM model. A questionnaire survey was conducted on 163 students and the SEM model was used for analysis. The results show that perceived ease of use has a positive impact on perceived usefulness. Both perceived ease of use and perceived usefulness have a positive impact on students' learning satisfaction. Perceived usefulness has a mediating role between them. PjBFC is very helpful in improving students' interest in learning.

Enhancing High School Mathematics Education Through School-based Research: Development and Mechanisms

In the context of ongoing educational reforms aimed at fostering critical competencies among high school students, this paper explores the implementation and impact of school-based mathematics research (SBR) as a strategic innovation within the high school curriculum. Adopting mixed research methods, in the study questionnaires were distributed to all students and teachers in the early stage to collect and analyze relevant data and than the study combines quantitative analyses of student performance data with qualitative insights from teacher and student feedback to assess the effects of SBR on teaching practices and learning outcomes. This research is based on the fact that the traditional education model cannot meet the needs of cultivating students' thinking ability, and the new curriculum reform has decentralized teaching research to schools. The study is helpful to explore the effect of SBR on the cultivation of teachers' scientific research ability and the improvement of classroom quality. The results show the powerful role of SBR in promoting teaching practice and student participation. Based on school characteristics, it proposes effective teaching improvement measures to improve the quality of mathematics education.

Reshaping the Teacher-Student Relationship in Higher Education Through ChatGPT

The rapid progress in artificial intelligence, especially with advancements in generative AI such as ChatGPT within Natural Language Processing (NLP), has introduced both new opportunities and challenges for traditional teaching models and the teacher-student relationship in higher education. ChatGPT's advanced deep learning and NLP capabilities have overcome limitations inherent in conventional teacher-student interactions, such as one-way communication and geographical constraints, and have promoted the growth of personalized teaching. This innovation has fostered a learning environment where "Everyone can be a teacher, every place can be a classroom, and teaching can happen at any time". However, this technology also brings challenges, including greater reliance on technology, diminished emotional connections between teachers and students, and issues related to algorithmic transparency. This paper examines ChatGPT's application in higher education, analyzing its effects on evolving teaching and learning models and the transformation of teacher-student relationships. By employing the “teacher-student-AI” triadic interaction model, the study highlights the significance of human-machine collaboration. It aims to optimize AI's self-learning processes, enhance human-centered education, and advance intelligent education in a more efficient and empathetic direction, offering both theoretical insights and practical guidance for transforming teacher-student relationships and improving undergraduate education standards.

The Development of a Blended Learning Model with a Flipped Classroom Based on MOOC to Enhance Academic Performance and Attitude in the "Basics of Computer Application" Course at Guangxi Normal University for Nationalities

Background and Aim: In today's highly competitive and evolving academic environment, academic performance and learning attitude are considered two crucial aspects that shape students' academic performance and personal development. Academic performance not only reflects a person's learning outcomes in a specific subject area but is also closely related to his or her learning attitude. The traditional teaching mode can’t meet the teaching demand of the "Basics of Computer Application" course, and the blended learning model is more suitable for the development of education information. This study aimed: (1) To study the development of students' academic performance by the flipped classroom teaching mode based on MOOC. (2) To study the development of students' learning attitudes by the flipped classroom teaching mode based on MOOC. Materials and Methods: The research sample is a total of 60 students in two classes of the first grade of preschool education at Guangxi Normal University for Nationalities, there are 30 students in both classes, and they are divided into two groups based on the class: Class 1 is used as the control group to teach in the traditional classroom teaching mode, and class 2 as the experimental group is taught in the flipped classroom teaching mode based on MOOC. The data of this research comes from test papers and questionnaires. Input the test data into SPSS for descriptive statistics and data analysis; input the questionnaire data into SPSS for data analysis. Results: (1) The academic performance after learning with the flipped classroom teaching model based on MOOC is significantly higher than the traditional teaching model(P&lt;0.01). (2) The attitude after learning with the flipped classroom teaching model based on MOOC is significantly higher than the traditional teaching model(P&lt;0.01). Conclusion: (1) In the "Basics of Computer Application" Course, flipped classroom teaching based on MOOC can improve students' academic performance more than traditional classroom teaching. (2) In the "Basics of Computer Application" Course, flipped classroom teaching based on MOOC can improve students' learning attitude more than traditional classroom teaching.

Research on English Translation Teaching Mode Based on Artificial Intelligence

With the continuous development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread. This article aims to explore the effectiveness of an AI based English translation teaching model and its impact on traditional teaching models. By analyzing the current application status of artificial intelligence in English translation teaching, this article summarizes the advantages of artificial intelligence in personalized learning, real-time feedback, language data processing, etc., while also pointing out its limitations in the teaching process. Finally, this article proposes the development direction and improvement suggestions of English translation teaching mode based on artificial intelligence, in order to provide useful reference for educators.

Exploration of Teaching Reform of Data Collection and Web Crawler Course Based on PDCA Cycle

The course of Data Collection and Web Crawler is highly practical and students are generally interested in learning it. However, the traditional teacher-centered teaching model focuses on knowledge transfer, which cannot meet the social demand for big data talents. PDCA (Plan-Do-Check-Act) cycle is the ideological basis of total quality management, which accords with the inherent law of teaching quality management. With &amp;quot;students&amp;quot; as the core and based on PDCA cycle, this paper carries out reform design from four processes of Plan, Do, Check and Act. The four stages of PDCA cycle correspond to the design, implementation, evaluation and reflection of teaching. The “Plan” part includes the design of teaching objectives and the design of teaching content. The teaching objectives are divided into knowledge objectives, ability objectives and quality objectives, while the design of teaching content can be summarized as addition, subtraction, adjustment and integration. The “Do” part mainly adopts a variety of teaching methods, such as the combination of theory and experiment, the combination of online and offline, the combination of group and individual reports. The “Check” part adopts a variety of evaluation methods, including examination, operation and reporting, to comprehensively evaluate students&amp;apos; knowledge, abilities and qualities. The “Act” part is mainly about standardizing successful methods, documenting existing problems to avoid repeat offenses, and transferring unresolved problems to the next cycle. Under the new teaching mode, the teaching is student-centered, giving full play to students&amp;apos; subjective initiative, and improving their ability and quality while mastering knowledge.

Quality Optimizing Teaching Decisions in Flipped Classrooms Through Data-Driven Strategies

In the context of digitalized educational research, the rapid advancement of internet technologies and big data has catalyzed the transformation of traditional teaching models. The flipped classroom, recognized for its flexibility and efficiency, has garnered significant attention. However, the challenge of scientifically optimizing teaching decisions in flipped classrooms to maximize educational outcomes remains critical. Previous studies have achieved some progress in optimizing teaching decisions within flipped classrooms, yet they often suffer from a lack of methodological diversity, inadequate consideration of multi-level constraints, and struggle to adapt to dynamic teaching environments. Addressing these deficiencies, this research introduces a hybrid evolutionary algorithm combining differential evolution and greedy backtracking. Defined and classified constraints within flipped classroom teaching decisions, the construction of constraint networks, and the creation of multi-level decision spaces are transformed and solved through this hybrid algorithm, offering a systematic optimization strategy. Case analysis confirms the effectiveness and practicality of the proposed method, aiming to bolster decision-making in flipped classrooms and advance the development of digitalized teaching.

Instagram's Impact on Rural Colombian English Education: A Fourth Industrial Revolution Perspective

In the Fourth Industrial Revolution, characterized by rapid technological advancements, traditional educational models must evolve. This study examines the potential of Instagram, a widely-used social media platform, as a tool for English language education in rural Colombia. With over a billion active users, Instagram offers unique opportunities for immersive language learning. By integrating Instagram, educators can create dynamic, interactive learning environments for students in areas with limited access to traditional resources. This approach addresses digital age challenges and promotes inclusivity and accessibility in education. Through literature analysis, case studies, and firsthand experiences, the study highlights Instagram's transformative role in language education. It examines Instagram's impact on learning outcomes, student engagement, and teaching practices, providing valuable insights for educators aiming to leverage social media for educational purposes in diverse contexts.

ESP in Vocational Institutes: A Mixed-Method Study of Students’ ESP Learning Style Preferences

In vocational institutes, English for Specific Purposes (ESP) education should incorporate basic linguistic skills with professional communication abilities. There is a problem with ESP teaching that uses the traditional teaching model of general English, which fails to consider the needs of students. To tackle this problem, the aim of this study is to identify the preferred perceptual ESP learning styles of 254 students in seven Chinese vocational institutes. Data collection and analysis were conducted using a mixed-methods approach that combined both quantitative and qualitative methods. An adapted version of the Perceptual Learning Style Preference Questionnaire (PLSPQ) developed by Joy Reid (1987) was used at the first stage. Subsequently, in response to the questionnaire results, 15 students participated in semi-structured interviews. The results showed that a significant number of students chose minor learning modes rather than major learning modes. According to the data analysis, kinesthetic learning was the most preferred learning style, whereas group learning was the least preferred. The second to fifth places belonged to individual, tactile, visual, and auditory learning styles. The findings of the study have implications for ESP teachers, curriculum designers, and researchers considering students’ preferred learning styles, changes in the learning environment, and materials adaptations.

Cultivating Student Competencies and Practical Exploration in the Pharmaceutical Service Teaching Model

With the increasing demand for healthcare and the rapid development of the pharmaceutical service field, pharmaceutical education faces new challenges and opportunities. Traditional pharmaceutical service te aching models can no longer fully meet the requirements of modern pharmaceutical talent cultivation, necessitating the integration of modern educational technologies and innovative teaching methods. This paper first provides an overview of the existing pharmaceutical service teaching models and then explores the cultivation of student competencies within this model, including systematic knowledge and skills development, formation of clinical decision-making abilities, enhancement of communication and collaboration skills, and education on professional ethics and regulatory compliance. Finally, this paper proposes innovative practices in the pharmaceutical service teaching model, such as innovations in practice bases and internship projects, the application of virtual reality and simulation technologies, and the development of interdisciplinary teaching projects, aiming to provide new ideas and methods for pharmaceutical education.

Research on Oral English Teaching Model in Universities under the Background of Industry-Education Integration

Under the background of industry-education integration, the research on university oral English teaching models has attracted much attention. This paper aims to explore the application of industry-education integration theory in university oral English teaching and to construct a teaching model that meets current educational needs. By analyzing the concept and connotation of industry-education integration, its impact on higher education, and its relationship with English oral teaching, this paper conducts a current situation analysis of university oral English teaching models and proposes improvement suggestions for the limitations of traditional oral teaching models. On this basis, this paper proposes a university oral English teaching model based on industry-education integration, including clear goals and principles, innovative teaching content and methods, and a comprehensive teaching resource and support system. Finally, through empirical research and case analysis, the effectiveness of the new model is verified, and future research directions are suggested.

Analysis of the Integration Practice of Cultural Confidence in the New Era and Ideological Education in Universities

In the current social context, the integration of cultural confidence in the new era with ideological education in universities has become a crucial topic for educational reform and development. This paper aims to explore the integration practice of cultural confidence in the new era with university ideological education, analyzing its theoretical foundation, current status, and challenges. It proposes integration paths and discusses future development directions. Firstly, starting from the cultural confidence in the new era of socialism with Chinese characteristics, it analyzes its relationship with the modernization of national governance and socialist core values. Secondly, by analyzing the current status of ideological education in universities, including the challenges of traditional ideological education models, the diversification of student values, and the impact of the teacher workforce structure on educational quality, it reveals the challenges and needs for change. Then, it explores the application of cultural confidence concepts in university curriculum design, the enhancement of ideological education effectiveness through teacher-student interaction, and the integration practice of multiculturalism and international perspectives, constructing paths for the integration of cultural confidence in the new era with university ideological education. Finally, it summarizes the main findings of this research and looks forward to future research directions, aiming to provide theoretical support and practical guidance for promoting the improvement of ideological education quality and the comprehensive development of students in universities.

Exploration of Project-Based Teaching Model for College English in Vocational Colleges

In the context of rapid globalization and information technology development, college English teaching in vocational colleges faces significant challenges and opportunities. Traditional English teaching models can no longer fully meet the needs of students for practical application skills. This paper explores the theoretical foundation, design and implementation methods, and evaluation and improvement strategies of the project-based teaching model in college English teaching in vocational colleges. The study finds that the project-based teaching model effectively enhances students' English application skills, stimulates their interest in learning, and develops their teamwork and problem-solving abilities. The paper proposes specific teaching designs and implementation plans, providing new ideas and practical guidance for the reform of English teaching in vocational colleges.

Strengthen the Foundation and Practice Orientation: Exploration of Teaching Reform in Machine Learning Courses

Machine learning has become a core technology in the field of artificial intelligence with its excellent performance and wide range of applications. Traditional machine learning course teaching models often focus on theoretical explanations and lack sufficient practical guidance, making it difficult for students to apply their knowledge to solve practical problems. This article explores feasible ways to reform the teaching of machine learning courses, by strengthening the close integration of basic knowledge and practical skills, as well as optimizing course evaluation methods, significantly improving students' learning effectiveness and practical application abilities.

Artificial Intelligence in Higher Education : A Literature Snapshot

In Artificial Intelligence, “Artificial” means objects that are produced by human beings, and “Intel ligence” is the capability to form tactics to achieve goals by interacting with huge information. Artificial Intelligence (AI) is evolving rapidly in higher education, and various AI applications have been developed to solve some of the most pressing problems that higher education field currently face. The use of Artificial Intelligence or AI is rising in higher education. With this rise, the morality of AI programs is being questioned Higher education is crucial for producing ethical citizens and profess ionals globally. The introduction of generative AI (GenAI), such as ChatGPT, has posed opportunities and challenges to the traditional model of education. However, the current conversations primarily focus on policy development and assessment, with limited research on the future of higher education.AI - powered language tools (AILTs) are commonly used by university students, yet there is a limited understanding of how students utilize and perceive these tools in everyday academic communication practice. Following the very recent launch of the ChatGPT, chatbot, numerous comments and speculations were posted concerning the potential aspects of society that are expected to benefit from this AI revolution. This paper addresses some of the most fundamental questions about the role, position, and implications of ChatGPT and generative artificial intelligence (AI) tools amidst the evolving landscape of higher education and modern society.AI education aims to teach AI concepts, essential knowledge, and skills related to the fundamental ideas in AI. The affordances of artificial intelligence (AI) have not been totally utilized in education. To effectively integrate AI into education, teachers’ AI - specific technological and pedagogical knowledge is important.

Strategies for Cultivating the Craftsmanship Spirit among College Students in the Era of Digital Ideological and Political Education

In the context of digital ideological and political education, cultivating the craftsmanship spirit among college students has become a crucial task for educational institutions. This study explores the integration of the craftsmanship spirit into digital ideological and political education in colleges, analyzing the current state and challenges in cultivating the craftsmanship spirit among college students, and proposing strategies for its cultivation. The aim is to comprehensively enhance the craftsmanship spirit among college students. By utilizing digital technology to transcend the limitations of traditional education models, we promote an in-depth integration of theory and practice, thereby achieving a comprehensive improvement in educational objectives. The goal is to advance the cultivation of the craftsmanship spirit and develop a new generation of interdisciplinary talents with innovative capabilities and practical spirit, providing talent assurance for the sustainable development of society and the nation.

Integrating E-learning into Medical Education – Phase-I of MBBS Programme in Bangladesh: Prospects and Challenges for the Students, Instructors and Policy Makers

Over the past few decades, there has been a shift in medical education from the traditional didactic model of instruction to other modalities like online or electronic learning (e-learning). E-learning is being increasingly utilized in medical education across the globe through adaptive tutorials, audiovisual clips, simulation, and virtual models/atlas. This review aims to identify the prospects and challenges of integration of e-learning into Phase-I of MBBS Programme in Bangladesh and discuss solutions from medical educators’ perspectives. Elearning has been demonstrated to be as effective as conventional teaching and learning. It allows more personalized, self-directed learning experience for the medical students. Instructors can evaluate competencies objectively through online assessments, provide personalized feedback for self-improvement to the students. For policy makers, e-learning could hold the key to success in delivering quality medical education even in those medical colleges established in the remote semi-urban areas addressing the nation’s most entrenched medical teacher vacancies especially in basic subject areas like anatomy, physiology, and biochemistry. Challenges that affect the development and implementation of e-learning in medical education include lack of time and efforts, low technical skills, resource-poor infrastructure, lack of institutional strategies and support and stakeholders' negative attitude towards e-learning. Solutions to those problems may include training for professional development of the faculties with improvement of technical skills, incentives for the time and efforts in development and delivery of online content, favorable digital and tech-friendly institutional strategies and growing positive attitude towards online medical education, and above all, political commitment to ensure quality medical education. CBMJ 2024 July: vol. 13 no. 02 P: 290-297

Investigating the Impact of the AI-Supported 5E (AI-s5E) Instructional Model on Spatial Ability.

Improving students' spatial abilities is an important goal in education. Spatial ability is a skill needed in many fields, such as science, mathematics, engineering, and architecture. Since this ability can be improved through training, this study adopted a quasi-experimental design to investigate the effects of an artificial intelligence-supported 5E (AI-s5E) instructional model on students' spatial visualization, spatial relationships, and spatial orientation performances that explain their spatial abilities. A total of 43 students from two classes at a secondary school in western Turkey were recruited to participate in this study. One of the classes was the experimental group (f = 23), which adopted the AI-s5E approach, and the other class was the control group (f = 20), which adopted the traditional teaching model. The results showed that the integration of the AI-s5E instructional approach into education improved students' spatial abilities and sub-dimensions. In light of the findings, it can be recommended that AI applications, which have a positive and significant impact on spatial skills, can be integrated into teachers' lessons and even included in curriculum programs.