Improve Teaching Quality Research Articles

Effects of Using Technology to Engage Students in Learning English at a Secondary school

In recent years, more and more teachers are applying technology to improve teaching quality and help students learn more actively. This study investigates the impact of technology on engaging students to learn English and explores students' attitudes towards the use of technology in the classroom. This study aims to develop useful suggestions for educators, students, and teachers in secondary schools to engage students in learning English, thereby improving the quality of education. Besides, it encourages teachers to use technology in the classroom to enhance students’ interests. This study was conducted at a Secondary School in Kien Giang province, with 45 students responding to the questionnaire with items about their attitudes towards technology used in the classroom. Additionally, the involvement of 6 English teachers in interviews also helped to deepen the understanding of teachers' beliefs about using technology to attract students to learn English. The findings of the study show that technology had a significant impact on students’ engagement.

Early Warning Method of Postgraduate Education Quality in Colleges and Universities Based on Multisource Information Fusion

With the rapid development of postgraduate education in my country, the contradiction between its quantitative growth and quality improvement has become increasingly prominent. At the same time, due to the downward shift in the focus of postgraduate education management, the role of provincial governments in the reform and development of postgraduate education has become increasingly important. Therefore, strengthening the practice of quality supervision and evaluation of postgraduate education at the provincial level is not only a realistic result of the development of postgraduate education in my country but also an inevitable requirement for the further development of postgraduate education in my country in the future, which has an important theoretical and practical significance. With the rapid development and wide application of computer network technology, communication technology, and multisensor technology, multisource information fusion has been selected by many colleges and universities as a method to evaluate the quality of postgraduate study because of its closeness to the frontier of disciplines. Therefore, how to effectively improve the teaching quality of multisource information fusion courses is a practical problem that needs to be solved urgently, and the improvement of teaching quality is also a key factor affecting the comprehensive quality of students. This paper deeply analyzes the setting and requirements of the information fusion course, combines the characteristics of mathematical theory and tools in information fusion, uses multisource data to model student behavior, and proposes a serialized prediction framework based on a deep network. The network structure reasonably integrates multisource data and automatically extracts behavioral characteristics. Combined with the static characteristics of students, the paper uses the long-term and short-term memory network to model the overall online behavior of students and finally predicts the probability that students have academic risks. The model is tested on a real university course dataset, and the experimental results show that the performance of the proposed algorithm is better than the baseline comparison algorithm.

Evaluation and Application of College English Mixed Flipping Classroom Teaching Quality Based on the Fuzzy Judgment Model

With the development of big data technology, there are more and more evaluation models for college English teaching quality, which can better promote the improvement of college English teaching quality. Based on the fuzzy decision model, this paper describes the algorithm establishment process of the model in detail. Then, the fuzzy evaluation model between teachers and students according to different grades is established. Finally, aiming at the problems in college English teaching, this paper obtained the corresponding countermeasures for the college English teaching platform based on fuzzy judgment model. The results indicate the model improves the quality of college English teaching in different grades and promotes the development of college English. In addition, the model platform can also well predict the measures to improve the quality. In short, this paper provides some theoretical and experimental support for the quality of college English hybrid flipping classroom.

PEER OBSERVATION OF TEACHING: IN THE EYE OF THE OBSERVERS AND OBSERVED TEACHERS

Teaching in higher education in the Indonesian context has received more attention in the past two decades. Actions have been taken to improve teaching quality. One of the attempts conducted by a department in an Indonesian university is peer observation of teaching. The objectives of this study are twofold. The first objective is to investigate the observers’ and the observed teachers’ perspectives of their participation in a POT. The second objective is to discover the perceived benefits toward their teachers’ professionalism. Two observers and two observed teachers participated in this study. Data were obtained through in-depth interviews. The findings uncovered that the observers and the observed teachers claimed to have improved their pedagogical competence and believed that the institution required further action. The data also revealed the benefits that the observers gained because they could see a teaching model and that the observed teachers received feedback from more experienced teachers. Participants also considered skills in giving and accepting criticism were necessary for their growth and that the POT served them as a moment of self-reflection. The limitation of the study is that it lacks information on the teaching performance upon the POT and peer relationship. The study implies that the institution should follow through the results of the POT.

Predicting Student Learning Effectiveness in Higher Education Based on Big Data Analysis

With the global higher education entering the era of “quality is king,” the perception and acquisition of learning experience and the evaluation of learning quality and its effect have attracted more and more attention. However, at present, most of the academic evaluations of university courses are based on final examinations, supplemented by appropriate amount of regular tests, and little attention is paid to the development and quality of students’ learning ability in the learning process, which inevitably causes academic evaluations to be equivalent to assessments and deviates from the original purpose of academic evaluations to promote continuous improvement of teaching and learning quality. On this basis, this study uses the big data analysis method to predict the teaching effect of college students, in order to improve the existing teaching problems, grasp the teaching essence, and construct a relatively perfect curriculum evaluation system combined with the course of “teaching effect guidance + teaching action,” so as to further improve the academic evaluation system and improve the teaching quality. This will provide a reference for further improving the academic evaluation system and improving the teaching quality.

Multivariate Statistical Analysis of Quality Improvement Effect of Innovation and Entrepreneurship Education Based on Random Matrix Theory

The reform can better improve students’ innovation and entrepreneurial skills and comprehensively improve the innovation and entrepreneurial competitiveness of college students, which is conducive to their survival and development in the market. Therefore, this paper analyzes the data generated in the educational process from the perspective of educational data mining and studies students’ entrepreneurial interests and motivations so as to improve the quality of students’ entrepreneurial guidance. The knowledge map, an important visualization tool in personalized learning systems, is used as a research object to analyze students’ online evaluation data. We develop a prototype system for improving teaching quality—a knowledge map generation and knowledge point recommendation path analysis system. We hope to further explore new ways and methods to promote the reform of innovation and entrepreneurship education in colleges and universities, giving full play to the proper role and value of innovation and entrepreneurship education.

THE QUALITY ASSURANCE SYSTEM OF PROFESSIONAL PRELIMINARY EDUCATION: THE POLL OF STUDENTS

The issue of the quality of educational services provided by professional preliminary education always remains relevant. In particular, they need to study the problem of assessing the quality of education not only by higher governing bodies, but also by direct participants in the educational process. This is especially important today in connection with the introduction of new requirements for the accreditation of educational programs in the field of professional preliminary education, which provides training for professional junior bachelors. In order to implement a student-centered learning system, an important task of the College's management is to provide students with the opportunity to express their opinions, suggestions or complaints. In addition, it is important to study the use of information and communication technologies in the process of assessing the quality of education, as they allow faster and more efficient organization of this process, involving much less material and human resources.
 The purpose of the research: to describe the experience of organizing and conducting the poll in the professional medical college of IFNMU on the quality of educational services.
 Research results and their discussion. To improve the educational and professional programs at the College, we use data from stakeholder polls, the introduction of a student-centered system of education, the promotion and observance of academic integrity, control and improvement of teaching quality. The purpose of the poll is to identify their satisfaction with learning, educational programs, their components and the quality of educational services, as well as transparency and objectivity of students' applications, the level of information support that fully corresponds to the student-centered system of education at the College.
 In order to implement a student-centered learning system, we provided an opportunity for students to express their proposals for changes in curricula, improvement of educational and professional programs through surveys. During 2021, the College conducted a series of polls using Google Forms among participants in the educational process, stakeholders. In particular, we conducted a survey among college students. 211 students of different courses and departments took part. Among the many questions we also asked a number of questions related to the organization of the educational process.
 As a result of the polls, we received data that will allow us to improve the quality of education, draw attention to shortcomings, make proposals to the cycle commissions and the Pedagogical Council to improve educational and professional programs and training programs. An important point in determining the degree of satisfaction with the quality of teaching is a systematic approach, rather than a one-time questionnaire. This allows for comparative analytical work, obtaining more objective information that can be used as an evaluation, and can serve as an "impetus" to improve the efficiency of the College.
 Conclusions. Receiving periodic feedback from students is a mandatory component of internal quality assurance of educational programs. The college should organize periodic student polls, the results of which should have a real impact on the content of teaching and learning. The lack of surveys of direct participants in the educational process or a purely formal approach to their conduct is a disadvantage.

Improved Convolutional Neural Networks for Course Teaching Quality Assessment

The cultivation of innovative talents is closely related to the quality of course teaching, and there is a correlation between facial expressions and the effectiveness of classroom teaching. In this paper, a separate long-term recursive convolutional network (SLRCN) microexpression recognition algorithm is proposed using deep learning technology for building a course teaching effectiveness evaluation model. Firstly, facial image sequences are extracted from microexpression data sets, and the transfer learning method is introduced to extract spatial features of facial expression frames through pretrained convolutional neural network model to reduce the risk of overfitting in network training. The extracted features of video sequences were input into long short-team memory (LSTM) to process temporal features. Experimental results show that SLRCN algorithm has the best performance in training set and test set. It has the best performance in ROC curve. This effectively distinguishes between seven different expressions in the database. The model proposed in this paper can obtain the changes of students’ facial expressions in class and evaluate students’ learning status, thus promoting the improvement of teaching quality. It provides a new method of course teaching quality evaluation.

The Idea of Optimizing the Teaching Quality Assurance System of Law Undergraduate in Colleges and Universities

At present, the main problems existing in the undergraduate teaching quality assurance system in colleges and universities are as follows: the quality standards are not refined enough, the quality evaluation focuses on results rather than processes, the effectiveness of quality information feedback is insufficient, and the quality improvement is not implemented in place. Therefore, it is necessary to refine the teaching quality standards, expand the breadth and depth of teaching quality monitoring and evaluation, optimize and improve the information feedback mechanism of teaching quality, and build a Long-term mechanism for teaching quality improvement.

Development and implementation of a formative instructional coaching program using the Teaching Practices Inventory within a health professions program

BackgroundA growing body of literature describes teaching practices that are positively associated with student achievement. Observing, characterizing, and providing feedback on these teaching practices is a necessary, yet significant challenge to improving teaching quality. This study describes the design, implementation, and evaluation of an instructional coaching program created to provide formative feedback to instructors based on their use of evidence-based teaching practices.MethodsThe program was designed for formative purposes utilizing an instrument adapted from the Teaching Practices Inventory. All faculty were invited to participate in the program on a voluntary basis when the program launched in Fall 2019. Program coaches included any School personnel who completed required training. Two rounds of instrument development were conducted with multiple observers and assessed using Krippendorff’s Alpha. The program was evaluated using an anonymous post-session survey.ResultsInterrater reliability of the form improved over two rounds of piloting and no differences were found in scoring between trainees and education professionals. Seventeen observations were completed by nine coaches. Instructors indicated that feedback was practical, timely, specific, and collegial, suggesting that including student perspectives (e.g., focus groups, student course evaluations) in the coaching program might be helpful.ConclusionsCreating programs that emphasize and foster the use of evidence-based teaching are critical for health professions education. Additional research is needed to further develop coaching programs that ensure teaching practices in the health professions are optimizing student learning.

The Effectiveness of Self-Directed Supervision on Improving Quality of Teaching

This article examines effectiveness of the self-directed supervision strategy as a tool for improving teaching quality. Special reference was made to the implementation of the South African Integrated Quality Management system (IQMS). A mixed method approach characterised by the explanatory sequential design addressed the research questions. 301 out of 350 randomly selected participants in 15 districts of the Gauteng Province responded to the quantitative phase in the form of questionnaires. Three conveniently selected focus group interviews each comprising often (10) purposefully selected school-based managers and educators gave in-depth exploration of the quantitative results. Self-directed supervision was found to comply with the Total Quality Management principle of continuous improvement which was perceived to have a positive influence on improving teaching quality. In contrast, the IQMS self-evaluation was perceived to lack compliance to continuous improvement for professional development due to characteristics related to traditional inspection approaches.

Teaching Quality of College Students’ Mental Health Based on Mathematical Programming Algorithm

During the evolution of the twenty-first century, the increase in people’s material life level has also brought an increase in mental stress. For college students, not only need to bear heavy academic pressure, but also face the market competition after entering the society. Therefore, the psychological fitness instruction for undergraduate students has become an inseparable part of college education. However, in the current stage of mental health education, the quality of teaching is often difficult to guarantee. For the purpose of promoting the in-depth implementation of mental health education in colleges and universities and improving teaching effectiveness, one needs to analyze the quality of teaching in great details and understand the factors affecting the quality of teaching. In this paper, the mathematical programming algorithm is used to analyze the quality of college students’ Psychological Wellness Instruction. It deeply studies the development status of psychological wellness training and the basic composition and algorithm principle of mathematical programming algorithm. It integrates it into the practice of teaching quality analysis on the basis of linear regression algorithm theory. The experimental results show that the highest confidence interval of teachers’ teaching organization, cognitive level, and students’ participation level in the mental health course has reached more than 80.00%. This shows the importance of these three factors to the improvement of teaching quality. In order to enhance the quality of college students’ psychological wellness training, it is necessary to innovate the form of classroom organization and the degree of interaction between students and the classroom.

Teachers' Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm.

With the popularization of standardized classrooms in colleges and universities, it is possible to collect video data of students' class status through the camera device in the classroom. With abundant video data sources, it is easy to obtain big data of students' class status images. Unstructured video big data is a topic worthy of research in improving teaching quality. First, the current teaching ability of teachers in colleges and universities is investigated, and its problems are found. Then, the You Only Look Once (YOLO) network in the object detection network is mainly studied. The deficiencies in the network structure are further explored and optimized. It is used in real classroom scenarios as well as on student expression detection problems. Finally, the proposed scheme is tested. The test results show that at present, 20% and 38% of teachers in higher vocational colleges think that they are “dissatisfied” with their classroom teaching and practical guidance ability. And 38% of teachers wanted to improve the bad situation. The accuracy of the proposed model for student expression detection is higher than that of faster-region convolutional neural network and mask-region convolutional neural network by more than 8%, higher than the YOLO v3 model by more than 4%, and higher than YOLO v3 Tiny model above 6%. The proposed model provides some ideas for the application of deep learning technology in the improvement of teachers' teaching ability.

Teaching Quality Improvement: The Use of Education Theories Across the Medical Education Spectrum.

It is well recognized that the principles and practices of patient safety and quality improvement (QI) need to be included in medical education. The implementation of patient safety and QI learning experiences at the undergraduate medical education (UME) and graduate medical education (GME) levels has been variable. Consistent teaching of QI across the UME-GME-continuing medical education (CME) spectrum may result in a systemic change of improved patient care and patient safety in clinical practice. We propose using education theories to frame the development of QI curricula for a longitudinal integration in medical education and clinical practice. The basic principles of four education theories, namely, reflective practice, deliberate practice, social constructivism, and organizational learning, are briefly described, and examples of their applications to QI teaching are discussed. The incorporation of education theory into the design and implementation of a longitudinal QI curriculum threaded across the UME-GME-CME spectrum may empower learners with a comprehensive and lasting understanding of QI principles and training in patient safety practice, which are essential prerequisites for the formation of a physician workforce capable of creating sustainable change in patient care.

Exploration on teaching reform of cancer epidemiology course

This study aims to explore optimized teaching mode of cancer epidemiology for undergraduates, and provide scientific ideas and basis for improving teaching quality. Non-randomized concurrent control study was used. Undergraduates, enrolled in 2018, from the department of preventive medicine in A and B medical universities were selected as research objects. Traditional teaching mode was used for cancer epidemiology course in A medical university, and innovative teaching mode named "one core, four dimensions" was adopted in B medical university. After the course, questionnaire method was used to investigate self-cognition of students, teaching satisfaction and class preparation time of teachers in B Medical University. The post-class test method was used to compare the students' grades of cancer epidemiology in the two universities. The results indicated that among the 58 students of B medical university, 94.83% (55/58) students were familiar with common types of epidemiological studies and 86.21% (50/58) mastered the evaluation indicators of screening research. Among the nine teaching faculties from B medical university, seven reported that the new teaching plan helped students to learn frontier knowledge of cancer epidemiology, and eight reported the new teaching model was conducive to the interaction between teachers and students. The text score of students in B medical university was 50.34±4.90, significantly higher than that in A medical university (46.21±4.91, t=5.20, P<0.001). The optimized teaching mode of cancer epidemiology is highly praised by students and teachers, which has the potential to improve students' grasp of cancer epidemiology, the ability to combine theory with practice, and the teaching effect of cancer epidemiology.

Quality Assessment of Vocational Education Teaching Reform Based on Deep Learning.

In my country, vocational training is an important part of the educational system. In my country's vocational education system, there is currently a conscious focus on reform and innovation. It is critical to undertake a thorough assessment of teaching quality in vocational education in order to improve teaching quality. Artificial intelligence technology, particularly deep learning technology, can successfully handle this challenge because of the various and complicated aspects involved in the assessment of teaching quality. This article thus provides an evaluation approach for the quality of vocational education that is based on a thorough investigation. Finally, research has demonstrated that this approach is capable of objectively and fairly evaluating a teacher's teaching quality, increasing a teacher's teaching passion, improving a teacher's teaching quality, and nurturing extraordinary abilities.

EMI for Universities: How to Benefit from Embodying It into Educational Process

The article considers the role of the English language in global tertiary education (ESP/EAP, Adjunct ESP, EMI and ICLHE) and use a critical approach to analyze the current state of EMI integration into the educational process and tensions that arise due to conceptual gap in its adaptation to existing education policy. Applying a critical theory framework, the authors study the differences between EMI and internationalization that both instructors and university management adopt to curriculum design and pedagogy development. The research examines the ways internationalization and the EMI strategy affect curriculum design in universities; the ways university management incorporates global trends into curriculum design; the impediments that discourage the implementation of these programs identified by both educators and students. The researchers examine the EMI implementation under three dimensions: epistemology, teaching praxis, and ontological elements of students’ development and use document analysis related to the administration, curriculum, and course syllabi of EMI programs, followed by interviews with actors of the international classroom to outline the most challenging issues tertiary teachers, students, and university management face in EMI programs implementation. Moreover, the article examines evolving EMI perspectives as a means to boost internationalization and to improve teaching quality via integrating the best practices into the local context, including the expansion of teaching competence in both English language and pedagogy, introduction of language prerequisites for applicants, a constant adaptation of the curriculum to meet competence requirements.

Research on Teaching Quality Evaluation Model of Higher Education Teachers Based on BP Neural Network and Random Matrix

Improving teaching quality is the first task of higher education, and evaluating teaching quality is an effective measure to improve teaching quality. Combining the advantages of BP neural network and random matrix algorithm, the teaching quality evaluation model of higher education teachers is established. In this paper, the improved BP neural network and the random matrix structure are used to normalize the indicators, evaluate the teaching indicators, and build the teacher teaching quality evaluation system model. Through experimental design, the training data set is input into the model for training. In the training process, the increase and decrease ratio of learning rate, momentum term, and other parameters are adjusted to improve the prediction accuracy and convergence speed of the model. Iteration times, training time, MSE, and prediction accuracy were taken as performance comparison indexes of the model. Experiments show that the model solves the shortcomings of the existing teaching quality evaluation methods and models to a certain extent, and improves the accuracy of evaluation prediction. When the number of iterations is 133, the prediction accuracy is as high as 94.9%, which verifies the effectiveness of the model in the evaluation of teaching quality in colleges and universities. Finally, the evaluation index system of teacher teaching quality is comprehensively analyzed, and the results prove that the evaluation model of teacher teaching quality of A university is suitable for the situation of the school, can highlight the guidance, and is scientific and measurable of evaluation.

Research on After-school Delay Service Countermeasures of Information Technology in Primary Schools from the Perspective of "Double Reduction"

The information literacy requirement for talents in modern society is constantly improving, as a result, the improvement of primary school information technology teaching quality has become a concern of all sectors of society. With the implementation of the national "Double Reduction" policy, the after-school teaching and learning of information technology courses in primary schools have posed new challenges. Based on practice and research, we should draw lessons from deep learning theory, attempts to explore the main factors affecting primary school information technology class delay service. We will explore the countermeasures to promote the effective operation of after-school delay service of information technology in primary schools, in order to promote the effectiveness of after-school delay service of information technology in primary schools, and improve the information literacy of students by using after-school delay service of information technology.

Comparison between two asynchronous teaching methods in an undergraduate dental course: a pilot study

BackgroundProperly designed and implemented eLearning can lead to improvement of dental teaching quality. Various strategies have been proposed to increase the effectiveness of eLearning in dental education, however, there is a lack of research to assess the effectiveness of these strategies.ObjectiveTo investigate dental students’ learning performance and perception of a virtual flipped learning format compared to a virtual traditional learning method.MethodsA crossover pilot study was conducted at the College of Dentistry, Princes Sattam Bin Abdulaziz University, Saudi Arabia. Computer-generated randomization, blinded from researchers who analyzed the results, was performed to allocate 32 participants (aged 23.27 ± 0.86 years) to one of two groups. Participants in the control group were taught through the virtual traditional learning method (VTL) using live video lectures. In contrast, participants in the intervention group were taught through the virtual flipped learning method (VFL) using recorded online lectures and post-lecture virtual discussions. Learning gain and preference were measured by pre- and post-test average score differences and a modified validated survey, respectively.ResultsThere was no significant difference in learning performance between VFL and VTL groups (P > 0.05). However, students preferred VFL over VTL and the differences were significant among all survey items, except for the opportunity to ask questions.ConclusionHealth professions educators are encouraged to carefully design online curricula with efficient learning strategies that help students improve learning performance and foster self-directed learning skills while valuing active learning in an online environment.Trial registrationNCT04692142, 31/12/2020.