Improve Teaching Effectiveness Research Articles

Reform and Exploration of Teaching Modes in Data Processing Courses for Humanities and Social Sciences Majors

This article explores innovative teaching methods such as personalized instruction, fostering students' self-learning abilities and creative thinking, integrating multimedia technology for blended learning both online and offline, incorporating research into teaching, diversifying evaluation methods, and enhancing teachers' self-efficacy for improving teaching effectiveness. Taking the course "Python Data Processing and Analysis" as a case study, the article applies these approaches in practical teaching. The research findings indicate a significant improvement in teaching effectiveness, with noticeable enhancements in student engagement and performance.

Small programs, big challenges: Reimagining the evaluation of clinical teaching in genetic counseling.

Within the health professions education system, a significant proportion of teaching and learning occurs in the clinical setting. As such, the need to measure effective teaching for accreditation standards, faculty development, merit pay, academic promotion, and for monitoring the safety of the learning environment has led to numerous universities developing instruments to evaluate teaching effectiveness in this context. To date; however, these instruments typically focus on the student perspective, despite evidence demonstrating that student evaluations of teaching (SETs) lack correlation with learning outcomes and are not a true measure of teaching effectiveness. This issue is further exacerbated in small health professional training programs, such as genetic counseling, where clinical teachers may only supervise 1-3 students per year. As a result, not only are SETs more confounded due to small sample sizes, but a direct conflict exists between respecting learner anonymity and providing timely and relevant feedback to faculty. In such contexts, even using SETs to evaluate the nature of the learning environment may be unreliable due to student concerns about identifiability and fear of retaliation for unfavorable evaluation. This paper will review the literature regarding SETs, barriers to this process within the clinical setting, and the unintended downstream consequences. Options for addressing issues related to the use of SETs will be considered, with particular focus on the process of reflection and the use of teaching consultations or peer support groups as a means to improve teaching effectiveness in this learning environment.

A Unified Theory of Acceptance and Use of Technology Assessment in Learning Resources Management and Development System

The platform for Learning Resource Management and Development System (LRMDS) has the potential to be helpful for learning. Teachers find support and resources from the learning portal of the Department of Education. This study focused on determining the acceptance of the Learning Resources Management Development System (LRMDS) as a learning resource portal using the Unified Theory of Acceptance and Use of Technology (UTAUT) model among EPP/TLE/TVL teachers in the Division of Iligan City. For the sample selection based on structures and items, Soper's (2024) a-priori sample size calculator for structural modeling was utilized. This calculator calculates the minimum need to identify desired effects for a structural equation model inquiry by considering variables, effect size, and power levels. The study was based on quantitative and qualitative research designs via demographic questionnaire based on the UTAUT theory model and the perception questions. Findings indicate that the effort expectancy and social influence have positive effects on behavior intentions and facilitating conditions; behavioral intentions also have positive effects on use behavior. However, Performance expectancy is not significant. Additionally, qualitative findings suggest that teachers believe the LRMDS can greatly improve teaching effectiveness when viewed as valuable and dependable, resulting in its effective use. Teachers generally consider the content provided by LRMDS to be relevant and sufficient. However, a significant issue is that some resources, particularly in TLE (Technology and Livelihood Education), are outdated, likely due to limited access to ready-made resources and sufficient learning materials. The findings of this study also suggest that enhancing LRMDS integration, communication and outreach efforts are recommended, including a training guide matrix to raise awareness of LRMDS benefits and address misconceptions through targeted campaigns, workshops, and peer sharing. Recommendations include improving knowledge management, simplifying user interfaces, informing teachers about support conditions, and implementing the training guide matrix in public schools to highlight the advantages of the LRMDS portal.

Application of wireless sensor network based on improved genetic algorithm in English blended learning

Adaptive genetic algorithm is one of the classic algorithms to solve multi-objective optimization problems. In order to make the convergence set to the Pareto boundary more uniform, this article improves how to compare multiple distances in the algorithm, introduces the concept of comparing the difference between single distances, and uses the adaptive and mutation of crossover operators and the minimum distance filtering mechanism. An improved NSGA-II adaptive algorithm is proposed. Among other things, in the machine learning system model, the environment refers to an external source of information, which provides research-related information. This study proved that learning requires systematic organization, similar to short-term memory in information processing models. Find the external environment, then use the methods of thinking analysis, integration, comparison and induction to obtain knowledge, and store the knowledge in a scientific way. With the rapid development of knowledge in modern society, on the basis of the development of English text analysis technology and network technology, the reform of China's education system has reached a new level. Reforming modern teaching methods is an important part of education reform. More and more educators are considering analyzing English texts as one of the important tools to reform teaching methods and improve teaching effects. Among other things, based on the B/S model development technology, the teaching system is researched using production theories and methods, and the teaching system is actually being tested, developed and applied. By comparing the effects of computer network teaching methods and traditional teaching methods, the feasibility and effectiveness of the network teaching system are determined.

Research on Language Teaching Models under the Background of New Generation Information Technology

With the rapid development of the new generation of information technology, education has also ushered in the opportunity for change. In school language teaching, the application of new-generation information technology can provide students with more flexible and diverse learning methods, and promote the improvement of students' innovation and practical ability. At the same time, school language teaching, as an important part of basic education, also needs to constantly explore new teaching methods and technologies to further realize scientization in order to improve teaching effectiveness and quality. In this paper, we will discuss the research on the application of new generation information technology in school language teaching from the needs of school language teaching, respectively, from the learning content, teaching methods, evaluation methods and other aspects,And we have a further deep understanding of the diversity, science, fun and interactivity brought by the new generation of information technology in the field of teaching and learning.

Analysis of the Problems and Countermeasures in College Students’ Physical Training of Martial Arts

Based on the actual situation of college students’ physical training of martial arts, this paper finds out the factors that are not conducive to the improvement of teaching effect, and puts forward concrete and feasible countermeasures, aiming to improve the physical training methods of college students and enable students to get progress and development from them.

TELLTALE SIGN OF CALIBER TEACHERS: SURFEIT OF BRILLIANCE IN TEACHING ELEMENTARY LEARNERS

The teacher is the main actor in the learning process. It is teachers who consider effective learning strategies to be applied. A large number of variations in the quality of teaching are explained by the characteristics of teachers, teachers are central in the process teaching and learning, teachers have a major role in building student personality, teachers are learning managers in a large system of education that enlightens students. This study will lend to the body of knowledge surrounding teacher effectiveness. It is also significant in that it is transferable to a greater population of teachers in kindergarten through sixth grade and therefore may have implications for understanding and improving teacher effectiveness in the greater education population. The researcher made these qualitative assumptions that consist of the methods used in the process of qualitative research (Creswell 2003). The procedures used by the researcher are inductive and are based on the researchers own experience in collecting and analyzing data. The research here is the product of the values of the researcher. The implication for positive social change of this qualitative phenomenological research study was guided by four research questions. Despite the limitations, after the review and ensuing analysis of interview transcripts and observation notes the researcher was able to gain insight into the phenomenon of characteristics of high-quality teachers. It was found that high-quality teachers use a variety of strategies that are carefully chosen based on student needs, student learning styles, and student abilities to meet the needs of diverse learners. Higher-order questioning was identified as a prevalent teaching strategy used in the classrooms of high-quality teachers which resulted in a high level of classroom discussion. A high level of student engagement was also prevalent in the classrooms of high-quality teachers. A quantitative study could be conducted to further investigate the relationship between high-quality teachers and their impact on student achievement about GPA and scores on state standardized tests. A qualitative study could be conducted to determine strategies for facilitating the development and growth of the identified characteristics of high-quality teaching to improve teaching quality KEYWORDS: Telltale Sign, Caliber Teachers, Surfeit of Brilliance, Teaching Elementary Learners

Understanding the Link Between INSET Attendance and Teaching Efficiency of High School Teachers

Recognizing the importance of in-service education and training (INSET) for teacher development, this study investigated its effectiveness in enhancing teaching efficiency among high school teachers at Southern Baptist College. Employing a convergent mixed-methods design with twenty-three participants, the study revealed that high school teachers generally perceive in-service education and training (INSET) positively and value its effectiveness in enhancing teaching skills and practices, but there is no significant relationship between the frequency of attending INSET programs and teaching efficiency. The study identified five essential guidelines that include conducting targeted needs assessments, practical application, individualized professional development plans, ongoing mentoring, and data-informed evaluation systems. The result revealed that the programs of in-service education and training attended by high school teachers were the pedagogy workshops, subject-specific training, technology integration, assessment and evaluation and professional development designed to enhance teacher’s teaching skills, subject knowledge, and classroom management techniques. Majority of the respondents attended the programs conducted by Southern Baptist College, Inc. The themes such as personal and professional growth, improved teaching effectiveness, enhanced mental abilities, positive workplace changes, transformative challenges, and emphasize collaborative approaches were drawn to address challenges and maximize benefits of ongoing professional development initiatives. Moreover, the effectiveness of in-service education and training (INSET) attended by high school teachers is perceived positively. The high school teachers in majority got Very Satisfactory in their teaching effectiveness. However, there is a weak positive correlation between the effectiveness of attending in-service training (INSET) and teaching efficiency of high school teachers. Thus, null hypothesis was not rejected.

Non-Parametric CD-CAT Item Selection Strategy and Termination Rules Based on Binary Search Algorithm

CD-CAT plays a significant role in diagnosing and assessing students, contributing significantly to improving teaching effectiveness. However, in classroom teaching scenarios, unlike large-scale assessments where a large number of samples can be used to accurately estimate item parameters, non-parametric CD-CAT becomes the only feasible choice. Compared to parametric CD-CAT, non-parametric CD-CAT started later, and research mainly focuses on non-parametric item selection strategies. However, the existing non-parametric item selection strategies have the disadvantage of low efficiency, and there is little research on non-parametric termination rules. Therefore, this study proposes two more efficient item selection strategies: Non-Parametric Dynamic Binary Search (NDBS) and General Non-Parametric Dynamic Binary Search (GNDBS), as well as a non-parametric termination rule：Non-parametric Dynamic Binary Searching Index (NDBI). Simulation results show: (1) Under all conditions, the pattern classification accuracy rate of NDBS is higher than that of NPS, so NDBS can be used as the item selection strategy when there are no samples available. (2) In most cases, the performance of GNDBS is better than other item selection strategies, so GNDBS can be chosen as the item selection strategy when there are few samples available. (3) In variable-length tests, when the research objective is to obtain more accurate classification results, the critical value of the NDBI rule can be reduced; conversely, the critical values of the NDBI and GNDBI rules can be appropriately increased.

Investigation and Analysis of Online Piano Improvisational Accompaniment Education: A Case Study of Universities in Guangzhou, Foshan, and Zhaoqing

The ability to provide impromptu piano accompaniment is a crucial skill that music teachers in primary and secondary schools must possess. Enhancing the accompaniment skills of music majors in colleges and universities is a focal point of the “new normal” compulsory courses. Drawing on data analysis and research from a questionnaire survey on impromptu accompaniment in some universities in the Guangdong-Hong Kong-Macao Greater Bay Area, this paper demonstrates that multidimensional, multi-channel, and diversified curriculum reform is essential for improving teaching effectiveness and achieving educational objectives. The paper also proposes suggestions and ideas for curriculum reform and the construction of an online impromptu accompaniment course learning platform for reference.

Intelligent Development of College Physical Education Teaching Mode Based on “Internet+”

With the rapid development of information technology and the popularization of the internet, physical education teaching in colleges and universities is facing more and more opportunities and challenges. This paper takes the intelligent development of “Internet +” college physical education teaching mode as the theme, introduces the “Internet +” college physical education teaching mode and expounds the intelligent development of “Internet +” college physical education teaching mode, and then looks forward to the intelligent development of college physical education teaching modes future. The research shows that the intelligent development of college physical education teaching mode can give full play to the advantages of Internet technology and intelligent equipment, improve teaching effect and student experience, and promote the innovation and development of college physical education teaching.

Construction of vocational undergraduate education teacher team based on deep learning

With the rapid development of vocational undergraduate education, the construction of teachers is very important to improve the quality of education and train outstanding talents. This study takes deep learning as the theoretical basis to explore the construction of vocational undergraduate education teacher team based on deep learning. Through comprehensive literature review, quantitative research methods and questionnaire design, the current situation of vocational undergraduate education teachers is deeply analyzed, and the application potential of deep learning in teacher training is discussed. The research results show that deep learning can provide new teaching tools and techniques to promote the professional development of teachers and improve teaching effectiveness. However, there are also some problems and challenges in practical application, such as teachers’ cognition and application level of deep learning need to be improved. Therefore, this study puts forward some strategies to solve these problems, and looks forward to the future development of vocational undergraduate education teacher team construction.

Correlational Study on the Performance of School Heads and their Instructional Leadership Practices

Purpose: School leaders are now required to not only administer the school but also to improve teacher effectiveness and student success due to continuing education system reforms. The purpose of this research is to elucidate the correlation between the performance of school heads and instructional leadership. Methodology: The study employed a descriptive-correlational research method using a questionnaire checklist for data collection. The research sample comprises 53 school principals from the four districts in the municipality of Donsol, Sorsogon, Philippines. Validated researcher-made questionnaires were distributed to collect data for this investigation. Findings: The results show that most school administrators conducted up to three LAC sessions, developed up to four instructional supervision plans, observed a maximum of 10 instructors, and created between one and three quality-assured learning assessment methods. The school, under their supervision, received a maximum of two stars in the WINS program. Most of the students who took the PHIL-IRI exam scored 20 points or below. The school conducted three to four earthquake drills, has a maximum of 10 classrooms, provides a student handbook, and conducted at most one orientation before the start of the school year. School principals demonstrate excellence in their instructional leadership practices across the eight strands of PPSSH-Domain 3. However, most of the calculated chi-square values for the correlations between their performance and practices were below the crucial value when assessed at a significance threshold of.05. Conclusion: School principals showed impressive results in their performance and displayed exemplary practices in instructional leadership across the eight strands of Domain 3. However, most of their performances were not significantly correlated with their practices in instructional leadership.

Application Analysis of Nursing Students' Grades in Course Relevance Based on Association Rule Mining Algorithm Apriori

By analyzing the correlation between courses in students’ grades, we can provide a decision-making basis forthe revision of courses and syllabi, rationally optimize courses, and further improve teaching effects. With the help of IBM SPSS Modeler data mining software, this paper uses Apriori algorithm for association rule mining to conduct an in-depth analysis of the grades of nursing students in Shandong College of Traditional Chinese Medicine, and to explore the correlation between professional basic courses and professional core courses. Lastly, according to the detailed analysis of the mining results, valuable curriculum information will be found from the actual teaching data.

Challenges and Opportunities for Foreign Language Teachers in the Era of Artificial Intelligence

The emergence of large-scale language models such as ChatGPT has presented unprecedented challenges and opportunities in foreign language education. On one hand, artificial intelligence poses a disruptive crisis; on the other hand, it offers new educational insights, methodologies, and resources. Faced with these challenges and opportunities, university foreign language teachers must seize the opportunity to integrate intelligent technology into their teaching practices to enhance their teaching abilities and the quality of talent development. This study aims to investigate approaches for integrating artificial intelligence into foreign language teaching at the university level to improve teaching effectiveness and talent development outcomes. Through literature analysis and related research, the study identifies best practices and strategies for utilizing artificial intelligence in university foreign language education. The findings suggest that integrating artificial intelligence into foreign language teaching at the university level can significantly enhance teaching effectiveness and talent development. Thus, it is recommended that university foreign language teachers actively explore and implement artificial intelligence technology to enhance the quality of foreign language education and student talent development

Artificial Intelligence: The Future of Pedagogy

AbstractWhile it is important to research the negative impact of generative artificial intelligence on academic integrity, academics should focus most of their efforts on the opportunities these technologies present for improving pedagogical practices. In this note, I attempt to flip the narrative from one of fear to one of opportunity. I suggest that academics should research the use of generative AI to improve teaching effectiveness and efficiency. I offer various practical suggestions on how these tools can be used to advance pedagogical practices, with specific business law examples.

THE RELATIONSHIP BETWEEN HEAD TEACHERS’ SUPPORT SUPERVISION AND TEACHERS’ CLASSROOM INSTRUCTION AND MANAGEMENT. A CROSS-SECTIONAL STUDY IN PRIMARY SCHOOLS IN KIGULU NORTH CONSTITUENCY, IGANGA DISTRICT.

Aim To determine the relationship between head teachers’ support supervision and teachers’ classroom Instruction and management in Primary schools in Kigulu North constituency, Iganga District Methods A descriptive cross-sectional study was used, with both quantitative and qualitative methods of data collection and analysis. Questionnaires were used for the teachers and administrators while in-depth interviews were done for upper-class pupils. Descriptive statistics were used to analyze the findings and quantitative data were analyzed by SPSS version 22. Results The findings revealed a strong positive significant relationship between head teachers’ supervision and teachers’ classroom Instruction and management (r=0.553). This was reflected by a correlation that is significant at the 0.01 level (2-tailed). 0.01 level (2-tailed). Conclusion The findings reflect that head teachers’ support supervision influences teachers to track teachers' lesson plans daily and give constructive feedback; to ensure that schemes of work and lesson plans are approved before the teaching and learning process; and that required scholastic materials are provided, all the teachable units for every class and term are schemed as a way of monitoring syllabus coverage, required learning aids are provided. Recommendation Headteachers should not shy away from supervising teachers’ schemes of work and lesson plans. This should be emphasized during appraisal sessions to help improve teacher effectiveness and hence student learning. There is a need to ensure that teachers are always supervised daily to instill commitment and hard work which would in turn lead to improved teachers’ performance in primary schools.

Kreativitas Sekolah dalam Mewujudkan Sekolah Efektif di Kabupaten Aceh Besar (Studi Kasus pada SD Negeri I Lam Cot)

The purpose of this study is to find out the process of creativity of school principals, obstacles faced by school principals and what solutions are taken by school principals to improve teacher effectiveness in learning at SD Negeri 1 Lamcot Aceh Besar Regency. This research is qualitative with a descriptive approach, namely observation, interviews, and documentation. The data analysis process is carried out qualitatively with the stages of data reduction, data presentation, and conclusions. The results of the research show that the managerial creativity process of school principals improves the quality of learning by increasing teacher abilities through coaching in the learning process. The second step is to increase teacher discipline or enforce teacher discipline, increase teacher behavior standards, and implement all regulations. The third step, increasing teacher motivation, is to create a harmonious situation, fulfill all the necessary equipment and provide rewards and punishments. The fourth step, I hold training, bring tutors to schools, and provide opportunities to continue their education, assign teachers according to their fields, and hold meetings at the beginning of each semester

The Application of CoppeliaSim EDU in Robot Course Teaching

CoppeliaSim EDU, as a powerful tool for robot teaching, is changing the traditional teaching mode. This software provides a comprehensive robot simulation environment where users can explore different scenarios, models, and programming interfaces to gain a deeper understanding of robot technology. Its advantage lies in reducing the cost and potential security risks of physical robots, making robot education more widespread and secure. In actual teaching, teachers can use CoppeliaSim EDU for course design, guide students to carry out robot programming and simulation experiments, and improve teaching effectiveness. Through case analysis, it can be found that using CoppeliaSim EDU can better stimulate students' interest in learning, improve their practical ability and innovative thinking. In the future, with the continuous development of robotics technology, the application prospects of CoppeliaSim EDU will be even broader, bringing more possibilities for robot education.

Student Sentiment Analysis and Classroom Feedback Prediction Using Deep Learning

Abstract The application of deep learning is becoming a research hotspot in education, especially in student sentiment analysis and classroom feedback prediction. Accurate sentiment analysis can help teachers understand their students’ learning status and improve their teaching effectiveness. In this study, we explored students’ emotional changes in different teaching environments through face detection technology and facial expression recognition. We predicted their feedback on classroom content, which optimized the teaching methods and enhanced students’ learning experience. The research methodology includes using the MTCNN face detection algorithm to locate students’ faces and analyzing facial expressions to recognize their emotional states through an improved deep learning model. In this study, the method was able to identify primary emotional states of students, including happiness, sadness, and surprise, with an accuracy of 85%. After analyzing the link between students’ emotions and classroom engagement, the study discovered that students’ positive emotional states were positively associated with high levels of classroom engagement. Student sentiment analysis is used to propose a classroom feedback prediction model that can predict student feedback on classroom content with 72% accuracy in this study. This paper utilizes deep learning to analyze student sentiment and predict classroom feedback, which improves teaching effectiveness and enhances students’ learning experience.