Evaluation Of Teaching Effectiveness Research Articles

Harmonizing Perceptions: Exploring Alignment of Numerical and Textual Evaluation Through Fine-Grained Sentiment Analysis

The assessment of faculty teaching effectiveness plays a pivotal role in shaping educational practices and ensuring academic excellence. While numerical evaluations provide quantifiable measures of teaching effectiveness, textual comments offer valuable qualitative insights into the faculty's instructional methods and interactions. However, discrepancies between these evaluation formats may hinder the accurate assessment of faculty performance. This study aims to determine the alignment between the numerical and textual evaluations of faculty teaching effectiveness using fine-grained sentiment analysis and determine the relationship between numerical ratings and textual comments to identify patterns of consistency or divergence. A large dataset of anonymized BSCS students’ feedback is analyzed through sentiment analysis to extract sentiments expressed in the textual comments. The study results reveal a misalignment between students’ subjective perceptions expressed in the textual comments and the numerical ratings. This misalignment arises due to several factors, such as student communication style variations, individual interpretations of rating scales, or subjective biases. This study advances faculty evaluation methodologies and offers useful recommendations for organizations looking to improve assessment procedures as well as educational institutions that want to improve the precision and efficacy of their faculty evaluation systems for better faculty development and decision-making.

The Evaluation of College Chinese Teaching Effect Based on Internet of Things Technology

Aiming at the problem of the evaluation of College Chinese teaching, based on the development of internet of things technology, this paper discusses the teaching rules of internet of things technology in detail and makes relevant analysis. Then, college students of different grades are selected and applied to the specific evaluation of College Chinese teaching based on internet of things technology. The experimental results show that college students of different grades have different effects on College Chinese teaching based on internet of things technology. In addition, in the process of College Chinese teaching, freshmen and sophomores have a positive evaluation of the effect of Chinese teaching and have a strong interest in Chinese learning while senior students have the worst evaluation and interest in learning. Finally, the paper analyzes the possible problems in the evaluation of College Chinese teaching based on internet of things technology.

Psychometric Properties of the Persian Version of Student Evaluation of Online Teaching Effectiveness (SEOTE) questionnaire Among Medical Sciences’ Students

Background: Due to the increasing number of online educations, traditional methods for evaluation of different on-line education methods are not suitable and there is a need for a valid and reliable tool in this field. This study aimed to examine the validity and reliability of the Student Evaluation of Online Teaching Effectiveness (SEOTE) questionnaire among Medical Sciences’ students in Tabriz, Iran. Methods: Using convenience sampling method, the present study included 230 students of Medical Sciences (e.g., mean age of 21.96 ±3.47 years) in Tabriz, Iran. The SEOTE questionnaire was used to collect the data. Forward–backward translation, construct validity and content validity were utilized to check the validity of the questionnaire. In addition, temporal stability was calculated using the test-retest method and Internal Consistency Coefficient (ICC). Results: It was confirmed that the SEOTE has appropriate content validity using the content validity index (CVI) of 0.80 and content validity ratio CVR of 0.70. Exploratory factor analysis (EFA) identified the following two factors for domain identification of “communication” and “learning”. A Cronbach’s alpha of 0.97 was obtained for the questionnaire’s reliability, and ICC was used to confirm the temporal stability of the questionnaire (95% Confidence Interval [CI]: 0.966-0.977). Conclusion: This study confirms that the Persian version of SEOTE questionnaire is a valid and reliable tool for evaluation of on-line teaching among Medical Sciences’ students.

Online Teaching Effect Evaluation and Analysis Using Combined Weighting Technique

An evaluation index system of online teaching satisfaction was established based on the data of a questionnaire survey. In addition, an evaluation index system of an online teaching effect with four first-level indexes and 14 second-level indexes was constructed from the aspects of pre-class preparation, video production, classroom teaching, and after-class guidance. Then, a combination weighting–Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model was established using the analytic hierarchy process (AHP), Criteria Importance Through Inter-criteria Correlation method, and TOPSIS model. The objective is to evaluate the online teaching effect of 10 engineering technology universities in Henan Province. Results show that the online teaching effect of these universities is generally satisfactory. In addition, video production and classroom teaching are important factors affecting online teaching, which, however, is slightly influenced by pre-class preparation. On this basis, this study proposes to enhance online assessment, improve students’ attention in class, strengthen teacher–student communication, actively perfect teaching resources, and create a good learning environment.

Correction to: Accountability in the evaluation of teacher effectiveness: views of teachers and administrators

Correction to: Accountability in the evaluation of teacher effectiveness: views of teachers and administrators

Reviewing Teacher Effectiveness in Improving Student Learning

This research is dealing with the review of teacher effectiveness in improving student learning. A qualitative research method by using technique of library research was applied in analyzing the data in this research. There are four aspects of teacher effectiveness reviewed by the researchers: firstly, the nature of teacher’s effectiveness; secondly, teacher effectiveness based on the teacher’s performance; thirdly, teacher effectiveness based on the student’s achievement; and fourthly, benefits of teacher effectiveness for improving student learning. The results from four aspects which are reviewed give a comprehensive definition of effective teachers and specific method on how to evaluate teacher effectiveness based on teacher performance such as supervisors’ rating, students’ evaluation of teachers, peer-reviewed assessment, and self-evaluation. In addition, the review also evaluated teacher effectiveness based on student’s achievement in which value-added models were exemplified to the measurement of the effectiveness. Last, beyond teachers’ contribution to student achievement; this library research also includes how effective teachers impact student learning which obviously contribute to important outcomes for students as benefits for learning improvement.

The Application of Blending Learning in the Animation Major in Colleges and Universities in the Era of “Internet +”

This paper mainly discusses the application of blending learning in animation teaching. Blending learning is a combination of traditional teaching mode and online teaching mode, which can provide students with more flexible and independent learning methods and improve teachers' teaching quality and teaching effect. This paper analyzes and discusses the current situation of animation major, the present situation and configuration of blending learning, the teaching design of blending learning, the enlightenment, significance, and practical application of blending learning in animation teaching. Universities and teachers should strengthen research and practice in technical equipment and technical support, students' autonomous learning ability and willingness, adaptability and innovation of teaching contents and methods, evaluation and monitoring of teaching quality and teaching effect, so as to promote the application and development of blending learning in animation teaching.

Test Format, Learning Confidence, and Perceptions of Teaching Effectiveness

Background Both multiple-choice and short-answer tests can be beneficial to learning in the classroom. However, fact-based multiple-choice questions, because they include the correct answer as a response option, could lead to inflated estimates of learning and higher evaluations of teaching effectiveness. Objective The objective of this study was to examine the effects of test format on perceptions of learning and teaching. Method Undergraduate students ( N = 123) completed either a multiple-choice or short-answer test based on a brief psychology lesson. Then, they predicted their performance on later tests of knowledge and evaluated the quality of the lesson. Results Taking a multiple-choice test led to predictions about future performance that were 10% higher than those taking a short-answer test. No consistent differences emerged in participants’ evaluations of teaching effectiveness between the two test formats. Conclusion These results suggest that test format may significantly influence students’ confidence in their ability to produce answers on future tests. Teaching Implications Teachers who want to take advantage of testing as a metacognitive learning tool should adopt question formats that utilize recall of information from memory without retrieval cues.

Impelementasi Data Mining terhadap Evaluasi Kinerja Guru dalam Mengajar Menggunakan Metode Naive Bayes Classifier

Teachers are an important resource in supporting the teaching and learning process. The quality of teachers needs attention because it determines the quality of the teaching and learning process. This research aims to create a system that is able to classify performance as Very Good, Good, and Fair as seen from Pedagogical Competency, Personality Competency, Social Competency, Professional Competency using Naive Bayes Classifier calculations. Implementation of the Naive Bayes Classifier classification using numerical calculations. Based on a dataset divided into 80 training data and 20 testing data, the final test calculation achieved an accuracy level of 85% with precision results of 60% then recall of 57.14%. After carrying out calculations and obtaining test results, they will be distributed into the system using PHP and MySQL which are designed to carry out teacher performance assessment classifications. The prediction results obtained from the system are consistent with the results of manual calculations. Based on the research conducted, the system developed can be implemented in a way that makes it easier to evaluate teaching effectiveness.

Construction of College English teaching effect evaluation model based on artificial intelligence and output-oriented approach

Construction of College English teaching effect evaluation model based on artificial intelligence and output-oriented approach

Preschool Teachers Teaching Quality Evaluation Based on Neural Network Algorithms

Based on the current teaching situation of preschool teachers, in order to comprehensively evaluate the effectiveness of early childhood teaching, research have constructed a teaching quality evaluation model using fuzzy synthesis method and expert method. This model can handle the fuzzy relationship between evaluation indicators and achieve the evaluation of teaching quality. Considering that the teaching evaluation is influenced by many factors, the Genetic Algorithm back propagation (GA-BP) neural network algorithm is chosen for the solution model construction of the preschool teacher teaching quality. The entropy method chosen for the data calculation is to complete the preschool teaching quality evaluation. In the mean square error test for solving the model, the improved GA-BP model converged after 40 iterations with the model convergence speed increased by 34.65%. In the evaluation and prediction of preschool teacher indicators, the improved GA-BP model accurately evaluated the teacher classroom teaching indicators. In sample 3, sample 6, and sample 9, the improved GA-BP model scored 91, 89, and 88 points, respectively, close to the true scoring results. The improved model’s accuracy was high as 90% in teacher skills, personality charm, and academic research evaluation. The improved model also effected better in the application of the preschool teaching quality evaluation. The application effect of this model in teaching effectiveness evaluation and teacher quality evaluation is good, providing valuable reference for the establishment of early childhood education evaluation system.

Artificial Intelligence-Assisted Evaluation of English Teaching Effectiveness in Colleges and Universities

Abstract Education informatization is an important initiative for the country to realize education modernization, which is related to the development of China’s education. The use of a single evaluation of teaching effectiveness obviously cannot meet the assessment needs. Based on the premise of intelligent assistance through a hybrid brain-computer interface, this paper aims to study an evaluation method for teaching effectiveness using artificial intelligence. Firstly, EEG signals are collected through an EEG acquisition device, and then they are preprocessed. Second, the pre-processed signals are subjected to feature extraction, and then the features are classified using a specific pattern recognition method, and finally the classification results are used to assess the effectiveness of English teaching for college students. Based on the evaluation results, the learning system is optimized and improved. The signals collected by EEG devices carry a lot of noise, and in this paper, the processing of the original signals includes a smoothing filter, de-baseline filter, filter filter, and Kalman filter to achieve a higher signal-to-noise ratio. Multivariate evaluation results are provided by the evaluation system that is assisted by artificial intelligence. Compared with other evaluation methods to enrich the evaluation information, based on the above system effectiveness evaluation study, as far as the F1 value is concerned, this paper’s method is the highest, reaching 0.815, which is 0.048 higher than the highest F1 value of the traditional algorithm, and in the other two values, this paper’s method is also higher than other methods. This verifies the rationality and effectiveness of the teaching effectiveness evaluation system based on a hybrid brain-computer interface proposed in this paper.

Evaluation of Interactive Teaching Effectiveness under Social Network Analysis

Evaluation of Interactive Teaching Effectiveness under Social Network Analysis

The application of the physical-educational integration model in the technical and tactical teaching of college soccer-specific students and its effects

Abstract The concept of body-education fusion integrates educational concepts and sports resources while focusing on theoretical knowledge and skills knowledge, which has become another new form of the development of sports and soccer education and teaching in the new era. This paper analyzes the innovation orientation of the technical and tactical teaching mode of soccer special students under the model of body-teaching fusion, combines the characteristics of soccer technical and tactical teaching, constructs the teaching idea, and divides the teaching content stage. Applying the evaluation of the soccer teaching effect, it constructs the evaluation system of the technical and tactical teaching effect of college students specializing in soccer with four first-level indexes, namely, athletic ability, healthy behavior, thinking development, and team cooperation. Using the hierarchical analysis method to calculate the weight of each index, the fuzzy comprehensive evaluation method is used to carry out a comprehensive evaluation of the technical and tactical teaching mode of soccer specialization students with the integration of body teaching. Combined with the results of the fuzzy comprehensive evaluation of the body-teaching fusion model, we analyze and verify the advantages of the application of the body-teaching fusion model in the technical and tactical teaching of soccer special students. The fuzzy evaluation results of the technical and tactical teaching mode of students in the integration of sports and education football accounted for 45.79%, 32.81%, 19.05%, 2.35%, and 0, respectively, in the expert evaluation grades of “excellent”, “good”, “average”, “passing” and “to be improved”, respectively, and the comprehensive score was 87.03 points, which was significantly better than the interactive teaching mode before the implementation of the concept of sports and education integration, and had certain teaching advantages.

Research on the Hybrid Teaching Model of Piano in Normal Universities Based on “OBE + Politics Integrated Courses”

Abstract Teaching the piano, a vital element of artistic education is essential for developing students’ musical understanding and appreciation of beauty. Yet, conventional methods tend to focus excessively on technical proficiency, neglecting the development of students’ overall qualities. The challenge for educators is to incorporate ideological and political education into specialized courses. Outcome-Based Education (OBE) concentrates on the results of learning, highlighting the development of students’ competencies and the practical application of knowledge, while ideological and political curriculum education stresses the incorporation of ideological and political teaching into professional courses, fostering students’ awareness of social responsibility and historical duty. Based on these two educational concepts, this study designed an innovative piano teaching model and verified its effectiveness through teaching design, implementation, and effectiveness evaluation. Research has found that the experimental group students have significantly improved in basic skills, performance techniques, music understanding, expressiveness, learning attitude, and comprehensive evaluation. Students have a profound understanding of ideological and political education content, demonstrate a high level of interest, and possess the ability to integrate ideological and political education into daily learning.

The Construction of Teaching System of Foreign Language Courses in Colleges and Universities Based on the GFKE Model

Abstract Under the guidance of foreign language curriculum design theory, foreign language courses in colleges and universities should construct a foreign language course teaching system from the aspects of reconfiguring the course objectives, updating the course content, and designing a diversified evaluation system. This paper combines the 5Ds framework with the GFKE model to establish the teaching system of foreign language courses in colleges and universities, designs the blended teaching mode of foreign language courses in colleges and universities, and constructs the corresponding course evaluation index system. Taking Z University in H province as the research object, the relevant teaching process of foreign language courses was designed, the coefficient of variation method solved the weights of evaluation indexes, and the teaching effect of foreign language courses in universities was comprehensively evaluated by set-pair analysis. On this basis, a validation analysis was carried out using the dimensions of teaching effect and teaching evaluation. The reading scores of students in the Experiment 1 class went up by 3.31 points, and the average score of students’ writing test scores went up by 53.86%, as per the findings. In the posttest of the depth of knowledge of English vocabulary, the experimental 1 class scored 25.83 points, which was 45.28% more than the control 2 class’s score. Blending foreign language courses based on the GRKE model can promote the improvement of students’ foreign language learning ability, and teaching evaluation results will be more accurate.

Evaluation of teaching effect of online education courses based on random forest

At present, online education platforms are very popular. However, these platforms also have some drawbacks, including that they cannot be completely based on the needs of students, many students ignore the needs of students in order to adapt to the platform, do not adopt a more personalized learning style, and do not fully realize the individualized teaching. There are many factors at play, such as shifts in learning and teaching patterns, online platforms, hardware limitations of the network, and more. However, whether this model can finally satisfy teachers and students, and how the teaching effect is, has become a problem of concern. We propose a random forest-based method to evaluate college online courses. This method not only focuses on a single influencing factor, but also takes into account the special needs of students and teachers, and formulates different evaluation criteria, so that the system has not only universal applicability. The experimental results show that this method can improve the proficiency and level of teachers' online teaching, and can effectively combine several courses taught by students to form a personalized teaching method.

Identification of English Teaching Effectiveness and Students’ English Proficiency Development in Colleges and Universities Combining Refined Bilinear Attention Networks

Abstract With the current application of artificial intelligence in education, English teaching methods in colleges and universities are developing rapidly. In this paper, we explore the application of the streamlined bilinear attention network to enhance students’ English proficiency and evaluate teaching effectiveness to improve teaching efficiency and improve students’ English proficiency. The study applies the bilinear attention mechanism to effectively process visual information during college English teaching using computerized visual learning methods to improve the accuracy of classroom teaching quality assessment. The methodology includes implementing a bilinear attention mechanism and applying a deformable convolution module to extract more accurate image features and optimize model performance. The model achieves 98.89% accuracy in facial expression recognition on the CK+ dataset, and 88.5% and 78.9% on the RAF-DB and Fer2013 datasets, respectively. Through online emotion evaluation experiments, the model performed well in recognizing emotional activity in teaching videos, which is highly consistent with the manual evaluation results. In analyzing students’ English proficiency development, the model-assisted teaching method can significantly improve students’ listening, grammar, phonetics, and many other abilities, with a mean value of self-evaluation reaching 4.09576 points. It shows the effectiveness of the streamlined bilinear attention network in assessing the teaching effectiveness of English teaching in colleges and universities and improving students’ abilities. Not only does the model accurately identify emotional activity in the classroom, but it also enhances students’ English learning.

Designing and Evaluating Learning Effectiveness of Blended Teaching and Learning of College English Based on BOPPPS Modeling

Abstract This paper applies the parallel K-means clustering algorithm of adaptive cuckoo search to mine the data related to BOPPPS blended English teaching and designs the evaluation index system of BOPPPS blended English teaching based on the teaching data. Then, it constructs the teaching effect evaluation model based on an improved BP neural network, completes the evaluation of the BOPPPS blended English teaching effect, optimizes the design of university English blended teaching based on the BOPPPS model and evaluates the learning effectiveness based on teaching experiments. The students in the experimental class were clustered into three categories before the experiment: “excellent students” (17.77%), “average students” (55.56%), and “failing students” (26.67%). 26.67%). Students in classes A and B increased by 1.22 and 0.16 points, respectively. In comparison, the progress of students in class A is more obvious than that of students in class B (P=0.026<0.05), indicating that there is a significant difference between the performance of class A and class B. The evidence suggests that BOPPPS blended English teaching can significantly enhance students’ performance, and the quality of instruction is superior.

MOOC distance teaching effect evaluation method based on fuzzy entropy

MOOC distance teaching effect evaluation method based on fuzzy entropy