Information-based Teaching Research Articles

Research on the Application of Information Technology in Chemistry Teaching in Senior High School

With the rapid progress of network technology, information-based teaching methods have brought unprecedented vitality to senior high school chemistry education. Through the combination of information technology, a new science and technology, with chemistry courses, chemistry knowledge can be more vivid, teaching content can be enriched, students can be provided with a high-quality learning atmosphere, their emotional experience can be enhanced, and they can understand and absorb chemistry knowledge more deeply. Therefore, under the background of the new era, senior high school chemistry teachers should deeply realize that information technology has brought great opportunities to chemistry teaching, which can not only improve their information literacy, but also closely integrate information technology with senior high school chemistry, thus comprehensively improving the educational effect.

Research on Teaching Reform and Practice Strategies for Vocational College E-commerce Major in the Era of "Internet+"

With the advent of the "Internet+" era, the rapid development of digital technology presents new challenges and opportunities for vocational education, particularly in the field of e-commerce. This study analyzes the current teaching situation of the e-commerce major and identifies issues such as curriculum design, teaching methods, teacher quality, and resource allocation that do not meet the requirements of the new era. Based on these findings, it proposes reform strategies, including the introduction of diversified teaching models, the development of information-based teaching resources, and the training and enhancement of the faculty team. Additionally, this research explores how to build and apply practical teaching platforms, deepen school-enterprise cooperation, innovate training models, and promote students' autonomous learning and skill improvement in practice. The study indicates that these strategies can effectively enhance teaching quality, improve students' practical skills and employability, and provide new ideas and practical guidance for the future development of vocational college e-commerce majors.

Research on Blended Teaching in Integrated English Course Based on BOPPPS Model

The BOPPPS model has been widely used in information-based teaching reform, which emphasizes student-centered principles and student participation and interaction, including six steps: bridge-in, objective, pre-assessment, participatory learning, post-assessment, and summary. This paper applies the BOPPPS model in the Integrated English course at the three stages of teaching practice—before class, during class, and after class—to achieve blended teaching. It shows that this teaching mode provides students with a more abundant learning experience, helps to stimulate students’ learning interests, and improves their comprehensive language application skills.

Research on the Strategy of Improving the Informatization Teaching Level of College Teachers in the “Internet +” Era

Under the background of the “Internet +” era, the teaching concept and method of higher education are undergoing significant changes. The integration of modern information technology has far-reaching significance in improving the level of information education, which puts forward higher standards for teachers’ ability in information teaching. This paper discusses various factors that affect the level of information-based teaching of college teachers in the era of “Internet +”, as well as the ability that teachers need to have in information-based teaching, and also explores various strategies to improve the level of information-based teaching of college teachers, to further optimize the teaching quality of colleges and universities.

Information-based Teaching of College Basketball from the Perspective of “Internet +”

Information-based Teaching of College Basketball from the Perspective of “Internet +”

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.

Design and Implementation of an Adaptive Evaluation System for Teachers’ Information-Based Teaching Ability in the Intelligent ERA

The rapid development of teacher informatization has become a major highlight in current teaching. The information system under adaptive conditions has become the key to the reform of the intelligent era. The goal of this study is to design and implement an adaptive evaluation system for teachers’ information-based teaching ability, aiming at improving ability to meet the needs of modern education. This system analyzes the level of acceptance under key learning technologies. It combines elements by learning and analyzing their impact on general forms. It aims to analyze the rule algorithm dataset in a single machine environment. By analyzing multiple sets of different datasets, it calculates the number of key technologies that appear together in the same report based on the key technology word matrix. A co-occurrence matrix is constructed. The system adopts an advanced adaptive algorithm, which can conduct personalized assessments according to the actual ability and needs of teachers, so as to provide more accurate and effective feedback, help teachers understand their own advantages and disadvantages, and formulate more targeted promotion strategies. In the process of system design, the detailed requirement analysis is carried out first, and the function and performance requirements of the system are clarified. Then, we design the architecture of the system and determine the main modules and functions of the system. The function module is designed and the system is implemented. Through the practical application and effect evaluation of the system, we find that the system has high effectiveness and practicability. It can not only help teachers understand their own level of information-based teaching ability and provide personalized suggestions for improvement, but also provide decision support for education administrators and promote the development of education based on information. We expect that this system can play a greater role in the future education practice and promote the further development of education informatization.

Intelligent optimization algorithm-driven informational teaching model for English reading and writing in universities

English reading and writing are important parts of language teaching. In order to improve the English reading and writing ability of college students, the TLBO (teaching learning-based optimization) algorithm is used in this research to improve the way that English reading and writing are taught in colleges and universities. It is chosen as the primary model for this study. The TLBO algorithm is further optimized in this paper, and a convergence analysis is performed between the optimized model M-TLBO (multi-learning teaching learning-based optimization) algorithm and other TLBO algorithms in order to address the issues that the TLBO algorithm has an excessively single teaching ability and readily settles into local optimal solutions for some large-scale complex problems. In terms of stability and convergence accuracy, M-TLBO outperforms other algorithms. In order to investigate the impact of the M-TLBO algorithm on students’ writing performance, this paper uses the teaching-learning optimization algorithm to conduct a pre-and post-test on students’ English reading and writing performance in five dimensions. The study’s findings revealed that students’ pre-test writing scores had a mean value of 8.4770 and a standard deviation of 1.72449, and that their post-study writing scores had increased by 5.05 points. The English reading and writing information-based teaching model can improve students’ English writing performance. It is hoped to promote the development of English teaching and improve the efficiency of students’ English learning.

Exploring the Habits of Taking Photos in Class among College Students Majoring in Mathematics

With the development of College teaching and learning, some students majoring in mathematics have switched to using electronic devices to take photos instead of notes for recording. The purpose of this research is to explore the causes of this phenomenon. Research on this phenomenon can help improve students' learning and teachers' teaching in class. The research method used in this study is the interview method and interviewees are the undergraduates majoring in mathematics who have the habit of taking photos in class. The conclusions drawn from this study are as follows: (1) Taking photos is not satisfactory for learning. (2) The phenomenon can be attributed to the following factors: In terms of students, firstly, their learning concept is utilitarian and their learning motivation is weak. Secondly, some students are lazy about taking notes on non-exam content. Thirdly, some students have difficulty understanding the knowledge in class. Lastly, taking notes by hand is not organized. In terms of teachers, their lectures are too fast and illogical. In other aspects, taking photos has the advantage of clarity and convenience. Furthermore, students who take photos will subconsciously motivate other students to take photos in class. Based on the above analysis, in order to improve this phenomenon, it is suggested to improve students' note-taking ability, change students' learning concepts and improve teachers' information-based teaching level.

Application Research of Information Technology in College Basketball Teaching

This study deeply discusses the specific application of information technology in basketball teaching. Through the application of information technology by teachers, it is found that the influential factors of information technology teaching are mainly composed of teachers' "cognition", "willingness" and "application". The correlation analysis of the three dimensions showed that: the gender of teachers had no significant difference in cognition, intention and application of information-based teaching (p>0.05); There were significant differences in teachers' cognition, intention and application of information-based teaching (P<0.01). There were no significant differences in the cognition, intention and application of information-based teaching among teachers' educational background (p>0.05). Based on case studies and correlation studies, this study puts forward solutions such as continuous investment in technical equipment, strengthening teacher training and in-depth research on new technologies to promote the wider application of information technology in basketball teaching. In the future, information technology will continue to play a key role in basketball teaching and promote the development of college basketball teaching towards a more scientific and intelligent direction.

Enhancing engagement and learning in advanced biochemistry through the application of flow theory.

This study identified a lackluster classroom atmosphere in advanced biochemistry, characterized by low levels of active student participation in interactive communication and subpar quality of after-class learning tasks. The issues stemmed not only from students' learning attitudes, such as insufficient attention to the curriculum, but also from the course's inherent lack of challenge. Employing flow theory, we optimized teaching content, enhanced course difficulty, reformed assessment methods, and incorporated information-based teaching tools to redesign the instructional process. Through a questionnaire survey, students evaluated teaching effectiveness after implementation of the changes: a majority expressed satisfaction with the moderate difficulty of the course and enjoyment of the classroom instruction, and reported experiencing positive emotional flow. Peer experts commended the course, noting its lively atmosphere and the students' acquisition of both basic research methods and foundational knowledge. The findings will be used to continually enhance graduate students' innovation abilities and sense of achievement through ongoing reforms.

Evaluation and Improvement Strategies of Teachers’ Information Technology Teaching Ability Based on Data Mining

The rapid evolution of emerging technologies such as the Internet of Things, big data analytics, and next-generation artificial intelligence has propelled education through the ranks to new heights. To promote the development of digital education in an all-round way and build a learning country under the strategic action of digital education in China, it is necessary to objectively and accurately evaluate the information-based teaching ability of college teachers. This paper takes the evaluation of teachers’ information-based teaching ability and the construction of promotion strategies as the research object, introduces the composition of teachers’ information-based teaching ability in detail, designs the evaluation index system of teachers’ information-based teaching ability from the perspective of educational digital strategic action, and constructs the promotion strategies of teachers’ information-based teaching ability based on the case study of teaching ability evaluation. The constructed evaluation index of teachers’ informatization teaching ability has strong maneuverability and the evaluation results are objective and accurate, which can be used as an evaluation model in the construction of teachers’ informatization teaching ability in colleges and universities and provide practical guidance for improving teachers’ informatization teaching ability in colleges and universities.

Design a Platform for Sharing Educational Resources for Student Based on Dual Attention Graph Convolutional Networks

A key component of raising educational standards is always the sharing of educational resources throughout higher education institutions. The development of digital and network infrastructure among colleges and universities can propel the sharing and exploitation of excellent educational resources to new heights. Nevertheless, there is a lack of an ideal platform for resource selection and integration in the current crop of information-based teaching tools. To overcome this drawback, the methodology used in this study was described in this research in order to classify student and teacher data more precisely. Ideological and Political Education (IPE) is the source of the data collection. The Modified Hamilton filter is used to preprocess the data during the pre-processing step. The excellent course videos, classroom performance, and interactions are all successfully classified by Dual Attention Graph Convolutional Networks (DAGCN).The neural network's weight parameter is optimized using the Lotus Effect Optimization Algorithm (LEA) to improve the DAGCN. The suggested DAGNN-LEA used with the MATLAB platform. The suggested approach was calculated using performance measures such as accuracy, precision, sensitivity, F-score, computation time, and recall. In comparison to the existing method, the suggested DAGNN-LEA method yields better results in terms of high accuracy 16.65%, 18.85%, and 17.89%, high sensitivity 16.34, 12.23%, and 18.54%, high precision 14.89%, 16.89%, and 18.23%, and low computing time 82.37%, 94.47%, and 87.76%.

Research on the Training Model of Higher Vocational Teachers’ Information-Based Teaching Ability Enhancement in the Background of Education Digital Transformation

Under the background of digital transformation and intelligent advancement of education, there is an urgent need to improve the information-based teaching ability of teachers effectively. This paper first defined and interpreted the TPACK (technological, pedagogical, and content knowledge) theory and the informatization teaching ability of higher vocational teachers. Using the TPACK theory as guidance, a model for enhancing teachers’ information-based teaching ability within a “post-certificate class competition” was established. Post-training possesses the certificate to consolidate the foundation, classroom practice, and evaluation of effectiveness, which gradually cultivates the informatization teaching ability of vocational teachers.

National first-class course: International Settlement

Guangdong University of Foreign Studies is a teaching and research university with distinctive international characteristics. The major of International Economics and trade is the characteristic specialty of the Ministry of Education and a national first-class major. The course of International Settlement is a required course for international economy and trade, international business, international finance and other majors. It has the characteristics of complex theoretical knowledge, wide range of involvement and strong practical operation. Through a variety of ways and methods to acquire knowledge in the information age, we deeply integrate the Internet and information technology into university education in teaching. At the same time, we also introduce online simulation experiments, Moocs and rain classroom and other information-based teaching methods, expand and extend the learning space and content, form various high-quality teaching resources, build a golden course teaching team, lead the reform of International Settlement courses, and promote high-quality teaching resources for higher education institutions. Through the co-construction and sharing of modern information technology means, we can improve the training quality of international trade professionals and serve the construction of a learning society in the new era. This paper discusses seven aspects: basic course information, teaching professors (teaching team), course objectives, course construction and application, course features and innovations, course construction plan, and a list of supplementary materials. It elaborately presents the core content of the application in strict accordance with the requirements of the second batch of national first-class undergraduate course application (Mixed online and offline courses), offering a reference for the application of the third batch of national first-class undergraduate courses.

The Practical Exploration of Information-based Teaching in Chinese Teaching in Secondary Vocational Schools

Our country's science and technology is more and more developed, information technology is widely used in our life aspects, education is no exception, this for the secondary vocational school language teaching to modernization, closely follow the trend of The Times development is an opportunity, secondary vocational educators should seize the opportunity to realize the reform of vocational teaching. Chinese is the mother tongue of our country and the crystallization of our traditional culture and ancient wisdom. Students must learn it to strengthen their own reserves of Chinese knowledge. Chinese is one of the compulsory cultural courses carried out by schools.

A flexible group decision-making method for informationization teaching ability evaluation of university teachers integrating ExpTODIM and GRA under interval neutrosophic environment

Today, information technology has penetrated into various fields of universities, and the development of information technology in teaching, scientific research, management, and services has become a catalyst for promoting changes in universities. In terms of teaching informatization, the Internet provides a powerful tool for knowledge dissemination and a huge platform for learning and communication between university teachers and students. Knowledge sharing has become easier, and the era of mutual interaction between teachers and students has arrived. University teachers need to quickly face this challenge, adapt to the new teaching and learning environment, improve their own literacy, enhance their information-based teaching ability, change their teaching behavior, and thereby improve the quality of university education and meet the needs of society for talent cultivation. The informationization teaching ability evaluation of university teachers is a classical MAGDM problems. Recently, the Exponential TODIM(ExpTODIM) and (grey relational analysis) GRA method has been used to cope with MAGDM issues. The interval neutrosophic sets (INSs) are used as a tool for characterizing uncertain information during the informationization teaching ability evaluation of university teachers. In this manuscript, the interval neutrosophic number Exponential TODIM-GRA (INN-ExpTODIM-GRA) method is built to solve the MAGDM under INSs. In the end, a numerical case study for informationization teaching ability evaluation of university teachers is given to validate the proposed method.

Design of English Informationization Teaching System Based on Positive Psychology

Early computer-aided teaching systems fully played the leading role of teachers, but ignored the embodiment of students' subjectivity. In English teaching practice, there is still a current situation of emphasizing cognition and neglecting psychology, seriously neglecting students' psychological needs such as learning interest, self-confidence, and happiness. Therefore, in order to explore the promoting role of positive psychology in English teaching, this study, guided by subjective well-being theory and self-determination theory, adopted JSP+Struts+SQL Server technology to design an English information-based teaching system. The system was based on English knowledge, with students' personalized reasoning as the premise, and teachers' teaching strategies as the key. Personalized assistance was provided to English teachers for information-based teaching. Finally, through a controlled experiment, it was found that after half a semester of English information technology teaching, the excellent final grade rate of the intervention group X students was 56.67%; the pass rate reached 90%, and only 3 students failed. There was a significant improvement compared to the performance of the control group Y students. This experiment can prove the effectiveness of the English information teaching system designed in this article. The English information teaching system is a supplement to the traditional classroom teaching mode, which can enhance students' learning interest and English oral expression ability, as well as improve the quality of teachers' education.

The factors influencing teacher education students’ willingness to adopt artificial intelligence technology for information-based teaching

ABSTRACT This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN), and Output Quality (OQ), with the aim of examining their respective effects on the willingness of teacher education students to adopt AI technologies. To substantiate this theoretical framework, we conducted empirical research involving teacher education students from various Chinese universities. Our findings affirm the robustness of the TAM in explaining the inclination of teacher education students, engaged in the actual teaching process within a digitized educational environment, to adopt AI technologies. Through this model, our study underscores the pivotal role of Artificial Intelligence Literacy (AIL) in influencing educators’ acceptance of AI technologies, establishing a foundational cornerstone for subsequent explorations within the theoretical landscape of the TAM. In this study, we identify Perceived Usefulness (PU) and Artificial Intelligence Literacy (AIL) as the primary factors affecting Behavioral Intention (BI) to use AI technologies. Consequently, to foster broader adoption of AI technologies by educators, it is essential to emphasize their tangible benefits and superiority in teaching, with the goal of promoting the extended utilization of AI in digitalized instruction.

Informatization Teaching Mode of Intellectual Property Law Course Based on Clustering Algorithm

Abstract The traditional intellectual property law course cannot adapt to the needs of cultivating students’ active learning ability, practical ability and innovation ability in the digital era due to the teaching concept, teaching means, teaching method and assessment form. This study proposes an information-based teaching model, which builds a course knowledge organization model using a formal expression language, through atomized knowledge points and knowledge granularity. The k-means algorithm has been improved from the perspective of center selection and constraint rules to adapt to the characteristics of the intellectual property law course and complete the clustering and extraction of knowledge points. The frequent item-based method analyzes the students’ answers and generates the corresponding association rules to further develop the analysis of learning situations. For a college law school study, it was found that 925 simultaneous wrong answers and 8152 simultaneous correct answers were successfully mined using clustering. In applying this college students’ evaluation scores of this information technology teaching in terms of content design, presentation design, structural design and relationship design of knowledge clustering are 0.796, 0.818, 0.788, 0.794, and overall good results are achieved.