University Education Faculty Research Articles

BEHIND THE COMPUTER SCREEN: PERSPECTIVES ON INFORMATION ETHICS AMONG MUSIC EDUCATION STUDENTS

This study aims to understand the views and attitudes of students in the Music Education department at Erzincan Binali Yıldırım University Faculty of Education regarding informatics ethics. This research was conducted using a general survey model quantitative research design. The universe of the study comprised students in the Music Education department at Erzincan Binali Yıldırım University Faculty of Education. The selected sample, consisting of 73 students who volunteered to participate during the 2023-2024 Academic Year, was used for data collection. An information form created by the researchers and the "Real-Life Situation Scenarios with Informatics Ethics" (RLSSIE) Scale were employed in the data collection process. Overall, the students were found to have moderate views and attitudes toward information ethics. Demographic factors such as gender, age, and class level were observed to have a significant impact on ethical evaluations. Additionally, evaluations based on different scenarios revealed that participants were generally sensitive to ethical values. The influence of factors like residence and income perception on ethical views and attitudes was limited. Notably, participants who connected to the internet via mobile phones had higher ethical views and attitude scores compared to those using computers and tablets. However, the study observed that internet usage quotas did not have a significant impact on general ethical attitudes. The findings indicate that information ethics topics play a crucial role in overall ethical evaluations and suggest that individuals have a broad perspective.

Knowledge and opinions on natural disasters and disaster education of pre-service teachers who survived the 6 February earthquake in Turkey

Human-related events that occur in an unexpected time and affect people’s lives adversely are defined as natural disasters. Today, when we live in the age of technology, several regions are faced with natural disasters such as earthquakes, floods and hurricanes. Not different from various countries in the world, Turkey faces such natural disasters frequently. Especially the earthquake disaster of February 6, 2023, which affected a very broad area, caused many people to suffer. After the earthquake, several problems such as unemployment, need for education and shelter, and psychological traumas, especially among children, emerged. Although preventing natural disasters is not possible, it is a well-known fact that damages can be minimized through disaster education given in schools from an early age. It is of vital importance that Turkey, which is located in an earthquake zone, attaches more importance to disaster education and that students are educated on this subject from an early age, as in countries such as Japan, in order to reduce the disaster damages. Some action has been taken in this area in Turkey especially after the 1999 Marmara earthquake, but the recent major earthquake disaster has shown that more attention should be paid to disaster education. This study was carried out to determine the knowledge and opinions on disaster and disaster education of pre-service teachers who survided the earthquake in Turkey on February 6, 2023. The study group consisted of students studying in different departments of education faculties of universities. The structured interview form developed by the researchers was used as a data collection tool.

PRE-SERVICE TEACHERS’ VIEWS ON DIJITAL ADDICTION

The aim of this study is to show the views of pre-service teachers on digital addiction. The study group of the research consisted of Eskişehir Osmangazi University Education Faculty, social studies teacher, primary school mathematics teacher, English teacher, science teacher, special education teacher, classroom teacher, preschool teacher and psychological counseling and guidance (PDR) in the spring term of 2021-2022 academic year consists of 90 pre-service teachers studying at the 2nd, 3rd and 4th grades at the undergraduate level.Purposive sampling method was used while forming the study group of the research. As a data collection tool in the research, a semi-structured interview form, which was collected by e-mail in the online environment and formed by taking expert opinion, was used.The There have been a number of attempts by pre-service teachers to reduce digital addiction and they have often been unsuccessful. Analysis was used in the analysis of the data. Findings show that the students generally evaluated themselves as addicted. The students participating in the research stated that they spend most of their time in the digital environment for research, doing homework, communicating, following social media, shopping online, watching TV series and movies, listening to music and playing games.The students participating in the study stated that digital addiction caused them to disrupt their responsibilities and There have been a number of attempts by pre-service teachers to reduce digital addiction and they have been unsuccessful.

Analysis Of The Pedagogical Content Knowledge Of Social Studies Teachers And Teacher Candidates In The Learning Theme Of Science, Technology And Communıty

This study compares social studies teachers' and prospective teachers' pedagogical content knowledge in science, technology, and society learning. The study used the case study method, one of the qualitative research methods, and the holistic multiple case design of this method. The research participants are three social studies teachers working in Sakarya and four teacher candidates who are final year Sakarya University Education Faculty Social Studies Teaching students. Course observations, semi-structured interviews, and document analysis methods were used to examine the participants' pedagogical content knowledge. All collected data were transcribed and subjected to descriptive analysis in line with the predetermined pedagogical content knowledge components (subject content knowledge, curriculum knowledge, understanding of students, teaching strategies, and assessment themes). According to the findings obtained from the research, it was concluded that social studies teachers are more equipped than teacher candidates in terms of subject area knowledge and curriculum knowledge components in science, technology, and society learning. Both teachers and prospective teachers thought that students did not have much difficulty in science, technology, and society learning, and they followed specific strategies when students had challenges. All the participants were sensitive to the questions and reactions of the students and acted similarly in terms of understanding the students. Participants used methods such as lectures, and question-answers, and supported their lectures with various technological tools and materials. However, it was concluded that social studies teacher candidates apply different activities and use more materials in their lessons than teachers. Both social studies teachers and pre-service teachers used traditional learning tools while evaluating. There needed to be more in all participants in recording the evaluation results and giving feedback to the students. In line with the research findings, several suggestions were presented to improve the pedagogical content knowledge of teachers and teacher candidates.

Lifelong Learning and Media Relationship According to the Opinions of Pre-service Teachers

Lifelong learning has an essential place in every aspect of our lives. Lifelong learning refers to individualized learning based on individuals' personal and professional interests at times of need. This research aims to reveal the relationship between lifelong learning and media based on the opinions of pre-service teachers. The research data was obtained from Turkish, Social Studies, Preschool, and Classroom Teaching students (N:246) attending Uşak University Faculty of Education. To reveal the relationships of the pre-services teachers in the study group with lifelong learning and the media, the data were collected with the "Lifelong Learning (LLL) and Media" form, which the researcher prepared, and expert opinion was taken. The data obtained were analyzed by content analysis. As a result of the analysis, 13 themes were obtained because of the opinions of the pre-services teachers. As a result, pre-service teachers expressed the relationship between lifelong learning and media from different perspectives and revealed a clear pattern between media and lifelong learning. Pre-service teachers stated that "contribution to lifelong learning by using media as a teaching tool" (f:38) and "contribution to lifelong learning by increasing accessibility to accurate information" (f:34) were made. They also put forward opinions covering these themes, stating that "the media as a whole contributes to lifelong learning" (f:33) and "the media contributes to lifelong learning due to its contribution to vocational education" (f:32). The idea that media can make a significant contribution to the lifelong learning process emerges clearly in the research.

The Effectiveness of Flipped Classroom Teaching Mode In Colleges and Universities

Under the background of the rapid development of today's society, higher requirements are put forward for the teaching model. As a product of education reform, flipped classroom has gained rapid popularity and development both at home and abroad. This paper mainly analyzes from the aspects of improving teachers' information literacy, stimulating students' enthusiasm for independent learning, and effectively using information technology, and discusses how to improve the effectiveness of flipped classroom teaching mode in colleges and universities, hoping to provide some experience for educators.

Exploration of Art Teaching Mode in Colleges and Universities Based on Artificial Intelligence

Exploration of Art Teaching Mode in Colleges and Universities Based on Artificial Intelligence

An exploration of primary school teachers' perspectives on children's rights.

This study endeavors to scrutinize the perspectives of primary school teachers regarding children's rights. Employing qualitative research methods, particularly a case study approach, the research delves into the insights of 14 teachers working in a primary school within the Turkish Cypriot region during the 2022-2023 academic year. Data collection was facilitated through the utilization of a semi-structured interview form, and subsequent analysis was conducted via content analysis. The findings underscore a discernible lack of adequate knowledge among teachers pertaining to children's rights, particularly in the context of violations occurring on social media platforms. In response, recommendations are posited, advocating for the implementation of in-service training programs to enhance teachers' awareness, the integration of children's rights throughout all stages of primary education, collaborative efforts between the Turkish Education Institution and the Information Technologies Communication Authority to raise awareness among families and educators, and the inclusion of a dedicated course on children's rights in the curriculum of the Turkish Cypriot Region Teacher Academy and university faculties of education.

Assessment of knowledge and practices of additive manufacturing in dentistry among university teaching faculty in Saudi Arabia

BackgroundIn recent era, digitalization in the dental sciences has been observed in wide ranges. This cross-sectional study aimed to assess knowledge and practice of additive manufacturing (AM) in dentistry among university teaching faculty in Saudi Arabia.MethodsA questionnaire was prepared and validated to distribute to the different dental colleges in Saudi Arabia. The questionnaire was divided into three parts: demographic information, knowledge and practices of AM among the dental teaching faculty. After receiving all the responses, descriptive statistics were used for the frequency distribution of all the responses.ResultsA total of 367 responses were received from the different faculty members. Most of the participants were male (67.30%), holding assistant professor (52.50%) positions in the field of prosthodontics (23.40%). In terms of knowledge, even though most of the participants were aware of AM (64.30%); however, do not understand the AM techniques (33.50). Moreover, 71.90% of the participants had no experience working with AM and only 13.60% of participants used AM in their respective dental colleges.ConclusionAM techniques are not commonly used in the field of dentistry in Saudi Arabia; therefore, more platforms should have created to enhance the knowledge and practice of AM in the current population.

Evaluation Method of Higher Education Teaching Reform Based on Deep Learning Analysis Technology

Considering the shortcomings of large evaluation errors, long time, human, and material resources in the evaluation process of the current college teaching mode to improve the accuracy of the evaluation of college teaching mode and reduce the cost of the evaluation, this study proposes an evaluation method for college teaching methods based on deep learning algorithms. Firstly, the research status of the evaluation of college teaching mode is analyzed, and the reasons for the poor evaluation results of the current college teaching mode are found; then the existing deep learning algorithm is improved, and the effectiveness and speed of the method are verified by comparing with other models. Then, the evaluation model of college teaching mode is established, and machine learning is performed on the evaluation data of college teaching mode; finally, the evaluation data of college teaching mode is collected, and the application example test of college teaching mode evaluation is performed.

Establishing Norms Levels For Physical Fitness For The Students Admission Exam In The Physical Education Departments In Palestinians Universities.


 The studyinvestigates the possibility of building up standard levels of physical and in testing students who apply for the entrance exam in the faculties of physical education in Palestinian universities . To achieve this goal , the study was conducted on a random sample of 190,174 male and female studentsrespectively in four Palestinian universities ( Al-Najah university ,Khadouri university , Al-Quds Open university and Arab American university – Jenin ).Those students are first- years who underwent ability test in their universities .The tool of the study consists of a number of physical skill examinations that focus on flexibility , agility , speed , muscular strength, fortitude and precision , The data was collected and analysed using the program (spss). The study finds that the students, level in both physical and tactical skill examinations was average. Physical fitness tests for male and female students were founded on standard levels in which the results were illustrated as: flexibility (bending the trunk of the body) , agility (hurdle zigzag race ) , speed ( 30m race ) , fortitude (1500m race), precision ( aiming by the hand at the interlocked circle).The researcher recommends that it is necessary to adopt standard levels the study arrived at in the selection and acceptance of first-year students in the faculties and sections of physical education in Palestinian universities ,provided that there need be a unified system based on scientific standards in all universities in Palestine .
 

Strategic Research on English Teaching Reform in Colleges and Universities Supported by Artificial Intelligence Technology

Abstract The emergence of new technologies and new means has brought unprecedented opportunities for college teaching, and the traditional college teaching mode can no longer meet the current needs of English teaching. This paper analyzes the current English teaching mode in colleges and universities by using the S-T teaching analysis method and constructs the S-T behavioral sequence of English teaching in colleges and universities by coding the samples in classroom teaching videos. Utilizing Markov chain to evaluate the drawbacks of traditional college English classroom teaching enables reflection and modification of English classroom teaching methods and specific teaching links. Classify English classroom teaching behaviors according to S-T teaching behavior coding, establish a link between teachers’ comprehensive control level in the classroom and the area of the teaching behavior cloud, and judge teachers’ comprehensive control level according to the area of the cloud. The proposed teaching reform strategies are based on an analysis of English teaching problems in colleges and universities. The results show that under the reformed English teaching, students’ English performance has been transformed for the better, and Class 7 has the highest English performance, with an average score of 140.73 and a score grade of A. In each teaching case extracted, the teacher’s active interaction with the students is kept above 55 times, and the number of student’s active interactions with the teacher is above 65 times.

Reform and Innovation of Ideological and Political Education Teaching Mode in Colleges and Universities in the Context of Information Technology Empowerment

Abstract In the rapidly evolving landscape of higher education, integrating digital advancements presents challenges and opportunities for ideological and political education. This research delves into the intersection of information technology and educational methodology, proposing a novel approach to teaching civics and politics. We accurately identify student behavioral patterns by applying a sophisticated clustering analysis through density optimization K-means, NN-Stacking, and Stacking fusion techniques, thereby tailoring educational content more effectively. Implementing this data-driven teaching model significantly boosts student outcomes in civics education, evidenced by an average score increase of 13.306 points. Furthermore, statistical Analysis (P = 0.0433 < 0.05) validates the enhanced impact of this method compared to traditional pedagogies. This study underscores the transformative power of information technology in enriching ideological and political education, paving the way for innovative teaching strategies.

A Study on the Application of Seq2seq in English Flipped Classroom Teaching in Colleges and Universities

Abstract With the rapid development of educational technology, the English teaching mode in colleges and universities faces innovation challenges. As an emerging teaching mode, flipped classroom promotes students’ active learning and improves classroom efficiency by switching the order of pre-course learning and in-class activities.Seq2seq technology, as a significant application of deep learning in natural language processing, is used in flipped classroom to provide new perspectives and methods for English teaching, which is expected to stimulate students’ interest in learning and improve the quality of teaching through technological means. This study aims to examine Seq2Seq2’s ability to enhance the quality of teaching and learning. This study explores the impact of Seq2seq technology on English flipped classroom teaching in colleges and universities. Using an experimental research method, 120 first-year university students were selected as the research subjects and divided into experimental and control groups, applying Seq2seq-assisted flipped classroom teaching and traditional teaching methods respectively. The study used a pre-test and post-test design, and collected students’ English achievement and learning motivation questionnaires to analyze data. Students in the experimental group outperformed the control group in English, with a mean score increase of 6.27 points, and their motivation to learn was also improved. The students in the experimental group showed improvement in vocabulary mastery, reading comprehension, and writing ability. The study shows that applying Seq2seq technology in flipped classroom can effectively improve students’ English learning achievement and learning motivation, which is of great significance for promoting the development of English teaching in colleges and universities.

Reflections on the English Teaching Mode in Colleges and Universities under the Environment of Multimedia Network Technology

Abstract With the advancement of educational technologies, multimedia and network technologies have significantly enhanced classroom teaching efficiency and quality through their dynamic and intuitive nature. This study introduces a flipped classroom teaching model for college-level English, utilizing the SPOC platform, grounded in constructivist theory and task-based language teaching methodologies. Conducted in a university in City H, this research involved two classes. It employed a paired-sample t-test and principal component factor analysis to evaluate students’ English performance and learning interest pre- and post-implementation. Additionally, a Student Satisfaction Scale was developed to assess the model’s reliability and effectiveness. Results indicated a 1.39-fold increase in learning interest, with independent learning needs’ mean value rising from 10.69 to 16.78 and a notable improvement of 12.49 points in English grades. The factor analysis confirmed the model’s robustness, with all variable influence coefficients surpassing 0.75 and fitness values exceeding standard benchmarks. The SPOC-based English flipped classroom model has proven effective in promoting independent learning, fostering mutual learning spirit, and enhancing academic performance.

An Innovative Model of English Translation Teaching Mode in Colleges and Universities from a Cross-cultural Perspective

Abstract English translation teaching in colleges and universities has problems such as outdated models, lack of attractiveness, and low efficiency. In this paper, we construct an automatic translation scoring model for English teaching, convert the English translation scoring problem into a semantic similarity problem of multiple English phrases, combine the Bi-LSTM algorithm to realize lexical embedding encoding, and design a feature extraction algorithm mainly based on the Transformer encoder. The attention mechanism is introduced to interact with the English phrases with the translation similarity information and linguistic information, and the global optimal strategy is used to select the score as the final score of similarity and calculate the automatic translation scoring score. After the construction was completed, two classes of the same major in a university were used as the experimental class and the control class to conduct a controlled trial of the new teaching mode utilizing the model. It was found that after one semester of teaching, the translation scores of the experimental class and the control class were 94.63 and 82.77, respectively, and the gap between the two classes was 11.86 points, which was obvious compared to the pre-test gap. There is no significant change in the translation level of the control class, and the experimental class has made considerable progress, with its scores in the five dimensions being 12.7%, 6.7%, 26.6%, 13.9%, and 35.6% higher than those of the control class respectively. It can be concluded that the effectiveness of adopting the new teaching mode is remarkable. The students’ translation level has made tremendous progress, the model and the latest teaching mode are widely recognized and accepted by the students in the experimental class and produce greater attraction, and the students’ attitude towards translation learning is more positive. This study provides a useful exploration of the innovation of English translation teaching methods in colleges and universities and improves the efficiency and learning effect of English translation classrooms.

Diversified Optimization of Vocal Singing Teaching Mode in Colleges and Universities under Multi-sensory Audiovisual Integration

Abstract As an important part of higher education, vocal teaching bears the important mission of cultivating future vocal talents for society. Through the integration of a variety of vocal singing teaching modes, the research develops a diversified vocal singing teaching mode that incorporates multi-sensory audio-visual. On this basis, vocal music enthusiasts were selected as the experimental subjects, and after being divided into three groups with comparable levels of vocal singing, the three vocal singing teaching modes were compared in the teaching experiment. After the experiment, the students’ vocal singing effects under the three modes were empirically analyzed, and the students’ experiences under the diversified vocal singing teaching modes were further explored through questionnaires to investigate the promotion effect of the diversified vocal singing teaching modes on vocal singing learning. The analysis shows that the diversified vocal singing teaching mode is better than the other two teaching modes, and its effect on the students’ breath change, breath use, word biting, understanding of the work, and expression movements during singing is 100%. At the same time, more than 90% of the students were satisfied with the teaching method, and more than 60% of the students agreed that the technique had improved their learning abilities and interest. The development needs of vocal singing majors in colleges and universities can be met through the use of a diverse vocal singing teaching mode, which is an important channel for vocal singing teaching in colleges and universities to connect with the future.

Research on assessment of hybrid teaching mode in colleges stems from deep learning algorithm

Research on assessment of hybrid teaching mode in colleges stems from deep learning algorithm

Innovation and Evaluation Analysis of English Teaching Mode in Colleges and Universities Based on Wavelet Packet Decomposition

Abstract The surge in information technology has catalyzed a pivotal shift towards innovative English teaching methodologies in higher education, garnering significant attention in educational research. This study introduces wavelet packet decomposition as a novel approach to both the innovation and evaluation of English teaching methods in colleges and universities, aiming to enhance teaching efficacy and scientific rigor. By employing wavelet packet decomposition for data analysis and utilizing a cloud-based evaluation model for teaching assessments, we investigate the impact of a new teaching mode at College M. Results reveal that students exposed to this innovative teaching strategy outperformed their counterparts in the control group on English cognitive tests, particularly in foundational areas such as grammar, where the experimental group achieved an impressive average success rate of 86.73%, compared to the 25%-50% range of the control group. These findings highlight the substantial benefits of the innovative teaching mode in elevating students’ English learning outcomes, particularly in grasping basic concepts. Furthermore, integrating a cloud evaluation model offers a comprehensive and scientific framework for assessing teaching effectiveness. This research validates the efficacy of the novel teaching model and introduces an innovative evaluation methodology for English education in tertiary institutions.

Research on the Optimization of English Translation Teaching Mode in Colleges and Universities Driven by Knowledge Mapping

Abstract Due to various factors, the effect of university English translation teaching cannot reach the expected situation. This paper introduces the attention mechanism based on a knowledge graph, builds a graph neural network translation model based on this model, and constructs an English translation teaching model centered on this model. The performance test of the graph neural network model is carried out, and by comparing with other models, it is found that the perplexity of the graph neural network model is only 1.4 with the increase of the number of steps, and the highest value of the graph neural network model is only 28s and the lowest value is 17s in different English translation scenarios. It shows that the graph neural network model has high operational efficiency. The study tested the teaching model based on a graph neural network model with 80 logistics management students, using test papers and analyzing the data using the SPSS 21.0 statistical tool. It was found that the mean difference between the scores of the two classes after the experiment was 4.5675, which is a large difference, and the P=0.045<0.05 obtained from the T-test, indicating that there is a significant difference between the scores of the experimental class and the control class in the post-test. Except for listening comprehension and reading comprehension, there is no significant difference in the test scores of the experimental class compared to the control class in other subjects. The teaching model that utilizes graph neural network translation can improve students’ English translation performance to a certain extent, as demonstrated.