Teaching Plan Research Articles

Optimization and Practice of the practical teaching system of the Digital Electronic Technology

In view of the issues in the practical teaching of the Digital Electronic Technology, which include outdated practical teaching content, insufficient innovation and comprehensiveness, redundant teaching methods, and a single assessment model, this paper proposes an optimized design for practical teaching content, teaching methods, and assessment mechanisms. The proposed plan adopts a deep integration of theory and practice, flexible expansion based on needs, a combination of multiple teaching models, and a comprehensive assessment mechanism. It adds design experiments and innovative research experiments to enhance the comprehensiveness and innovation of the practical teaching content. Various educational concepts and methods are integrated to form an optimized teaching method that combines multiple models. A comprehensive assessment mechanism is also designed. Through the optimized design of practical teaching courses for the Big Data Engineering, significant teaching achievements have been achieved. The proposed optimized practical teaching plan can effectively address the issues in practical teaching and better cultivate students’ overall quality and innovative spirit.

Research on the Optimization Path of College Education and Teaching Based on Big Data Analysis

Abstract Educational big data analytics can provide data support and decision-making reference for the optimization of education and teaching in colleges and universities by mining the daily behaviors of college and university students, searching for the data features that affect college students’ academic performance, and establishing corresponding prediction and early warning models. In this paper, we constructed a college student performance prediction model based on the CNNBiLSTM-Attention algorithm, integrating the advantages of bi-directional long- and short-term memory neural networks and attention mechanisms, introducing the 1-tanh function after the forgetting gate to make the output value of the forgetting gate in a more obvious range, retaining the features of the input data as much as possible, and improving the learning ability of LSTM. In the context of teaching in colleges and universities, we observed that the model in this paper achieved an accuracy of 86.39% and an F1 value of 83.59% on two dataset tasks, Principles of Microcomputer and News Editing, respectively. When predicting the results of the 2022 academic year grade performance points, the prediction accuracy of seven different score levels exceeded 80%. Three students in the experimental class had midterm scores below 40, but after teacher communication and targeted counseling, there were no students with scores below 40 at the end of the semester. In the midterm prediction, no student scored higher than 90. After the teachers adjusted the teaching plan and optimized the teaching arrangement based on the prediction results, six students had scores above 90 at the end of the final term. Students’ scores in all subsections have improved, and the overall distribution of scores has moved significantly toward the higher-scoring sections. From 68 points in the midterm prediction to 72 points in the final test, the number of sub-segments increased the most. The use of big data technology has had an optimizing effect on existing universities’ traditional education and teaching models.

Challenges and Solutions of Human-Computer Interaction in the Digital Transformation of Education

The digital transformation of education has become an inevitable trend in global education, which benefits from the rapid development of information technology. Human-computer interaction (HCI) technology has been the main driving force behind this transformation, offering substantial benefits in enhancing teaching efficiency, diversifying teaching approaches, and fostering personalized learning. Through HCI, educational institutions can provide students with more flexible and diverse learning experiences, help teachers understand students’ learning progress and needs, and thus develop more precise teaching plans. However, applying HCI in education is difficult and has many challenges. Specifically, problems such as technology maturity, data security, privacy protection, the transformation of educational concepts, teachers’ digital teaching ability, students’ adaptability differences, and user experience and emotional interaction are particularly prominent. They not only hinder the wide application of HCI in education but also pose obstacles to the overall digital transformation of education. This paper aims to investigate the application status of HCI in the digital transformation of education, identify the challenges it is facing, and suggest potential solutions to provide a valuable reference for the digital transformation of education.

교과통합을 통한 전래동요 국악 교육 지도연구

The purpose of this paper is to suggest the educational use of traditional music education for integrated education between art, social studies, and physical education as well as music subjects, rather than division-centered education. To this end, the study was conducted as follows. First, the concept of integrated education and the study of traditional nursery rhymes related to traditional nursery rhymes were examined on the study of traditional nursery rhymes using curriculum integration and the study of traditional nursery rhymes through play. Second, based on this, for the educational use of the traditional nursery “Subak-chigi song” a total of 4 teaching and learning plans were presented for students in grades 5~6 of elementary school through the integration of the subjects with the departments of music, social studies, physical education, and art. Based on this study, it was found that a teaching plan should be sought through curriculum integration that breaks down the boundaries between subjects, rather than a division-centered education, and it is expected that the curriculum integration guidance plan using traditional nursery rhymes will be studied more actively.

특성화 고등학교에서 PBL을 활용한 UX/UI 디자인 교육 프로그램 연구

In the Fourth Industrial Revolution, digital technology is present and utilized in every aspect of our lives. Many businesses and contents have been moved to screens through digitalization. However, even if the information and services provided to users through screens are of high quality, if they are complex and unfamiliar to users, their value is bound to decrease, so creative thinking and problem-solving skills are needed to provide users with optimal experiences. However, there are currently insufficient courses in specialized high schools compared to the need for UX/UI design education. Therefore, this study proposes a UX/UI design education program using PBL to cultivate problem-solving skills for third-year students in specialized high schools and analyzes its effectiveness. As a research method, we examined PBL and UX/UI design and identified the current status of UX/UI design education to lay the foundation for the study. Based on this, we designed a 'UX/UI design education program using PBL' consisting of a total of six stages, and conducted the class through a teaching plan. The overall satisfaction level of the class was 4.68 through the post-class satisfaction survey, which verified the effectiveness of the program.

The Use of Self-Assessment in Improving Pre-Service Teachers’ Professional Development

The use of self-assessment in teacher training has been strongly suggested by researchers because these assessment tasks activate students, motivate them to participate in learning, and cause more oriented and effective learning. This study focuses on using self-assessment in teacher education for the purpose of exploring the benefits of self-assessment practices for the pre-service teachers’ learning process and their professional development. Thirty-eight pre-service teachers participated in this study. Within the context of the study, every participant was supposed to perform a teaching practice by applying teaching methods. Pre-service teachers’ assessed their own performances through a self-assessment form composed of two parts. The first part of this form includes a criteria-based scoring matrix, and the second part includes open-ended written questions. Analyses of the data showed that pre-service teachers perceive themselves as worst at ‘efficient teaching practice’ and best at ‘using body language and gesture effectively’ among the given criteria. When the data obtained from the written questions was analyzed, it was concluded that the pre-service teachers had the most difficulty following the teaching plan. According to the results, it can be argued that by using the self-assessment tasks, pre-service teachers realized their strengths and weaknesses; they recognized that they have difficulties with some competencies required for effective teaching and what they need to improve themselves.

Case Study: Using Data Mining to Predict Student Performance Based on Demographic Attributes

This study predicts student performance at Universiti Pertahanan Nasional Malaysia (UPNM) based on their socio-demographic profile; it also determines how a prediction algorithm can be used to classify the student data for the most significant demographic attributes. The analytical pattern in academic results per batch has been identified using demographic attributes and the student's grades to improve short-term and long-term learning and teaching plans. Understanding the likely outcome of the education process based on predictions can help UPNM lecturers enhance the achievements of the subsequent batch of students by modifying the factors contributing to the prior success. This study identifies and predicts student performance using data mining and classification techniques such as decision trees, neural networks, and k-nearest neighbors. This frequently adopted method comprises data selection and preparation, cleansing, incorporating previous knowledge datasets, and interpreting precise solutions. This study presents the simplified output from each data mining method to facilitate a better understanding of the result and determine the best data mining method. The results show that the critical attributes influencing student performance are gender, age, and student status. The Neural Networks method has the lowest Root of the Mean of the Square of Errors (RMSE) for accuracy measurement. In contrast, the decision tree method has the highest RMSE, which indicates that the decision tree method has a lower performance accuracy. Moreover, the correlation coefficient for the k-nearest neighbor has been recorded as less than one.

Case Study: Using Data Mining to Predict Student Performance Based on Demographic Attributes

This study predicts student performance at Universiti Pertahanan Nasional Malaysia (UPNM) based on their socio-demographic profile; it also determines how a prediction algorithm can be used to classify the student data for the most significant demographic attributes. The analytical pattern in academic results per batch has been identified using demographic attributes and the student's grades to improve short-term and long-term learning and teaching plans. Understanding the likely outcome of the education process based on predictions can help UPNM lecturers enhance the achievements of the subsequent batch of students by modifying the factors contributing to the prior success. This study identifies and predicts student performance using data mining and classification techniques such as decision trees, neural networks, and k-nearest neighbors. This frequently adopted method comprises data selection and preparation, cleansing, incorporating previous knowledge datasets, and interpreting precise solutions. This study presents the simplified output from each data mining method to facilitate a better understanding of the result and determine the best data mining method. The results show that the critical attributes influencing student performance are gender, age, and student status. The Neural Networks method has the lowest Root of the Mean of the Square of Errors (RMSE) for accuracy measurement. In contrast, the decision tree method has the highest RMSE, which indicates that the decision tree method has a lower performance accuracy. Moreover, the correlation coefficient for the k-nearest neighbor has been recorded as less than one.

Case Study: Using Data Mining to Predict Student Performance Based on Demographic Attributes

This study predicts student performance at Universiti Pertahanan Nasional Malaysia (UPNM) based on their socio-demographic profile; it also determines how a prediction algorithm can be used to classify the student data for the most significant demographic attributes. The analytical pattern in academic results per batch has been identified using demographic attributes and the student's grades to improve short-term and long-term learning and teaching plans. Understanding the likely outcome of the education process based on predictions can help UPNM lecturers enhance the achievements of the subsequent batch of students by modifying the factors contributing to the prior success. This study identifies and predicts student performance using data mining and classification techniques such as decision trees, neural networks, and k-nearest neighbors. This frequently adopted method comprises data selection and preparation, cleansing, incorporating previous knowledge datasets, and interpreting precise solutions. This study presents the simplified output from each data mining method to facilitate a better understanding of the result and determine the best data mining method. The results show that the critical attributes influencing student performance are gender, age, and student status. The Neural Networks method has the lowest Root of the Mean of the Square of Errors (RMSE) for accuracy measurement. In contrast, the decision tree method has the highest RMSE, which indicates that the decision tree method has a lower performance accuracy. Moreover, the correlation coefficient for the k-nearest neighbor has been recorded as less than one.

心理电影赏析融入大学生心理健康教育课程探究

Integrating psychological film appreciation into the teaching of mental health courses for college students is conducive to popularizing psychological knowledge and improving college students’ mental health awareness; it is helpful to integrate education with entertainment and stimulate the enthusiasm of college students to participate in classroom learning; and it is helpful to interpret others and promote Self-development of college students. Finally, this article combines the author’s teaching experience with examples to illustrate some operable teaching plans, in order to provide some reference and significance for the actual teaching of peers.

The Effect of Barman's Model on acquiring the Concepts of Fiqh of Worship among Students of Departments of Qur'anic Sciences

The current research seeks to identify the impact of Barman's model on acquisition of the concepts of jurisprudence of worship among students of the departments of Qur'anic sciences. To achieve the research objectives, the researcher relied on the experimental method through a design with partial control by relying on two experimental groups receiving teaching by using the Barman model and a control group receives teaching through the normal method. After applying the experiment, the study reached the following results: Students of the Department of Qur’anic Sciences in general need educational programs linked to the curriculum and built on scientific foundations, according to their needs and problems (psychological, cognitive, and social), as well as their age or academic stage. The program followed in our colleges, according to the results of the research, is one of the methods that cannot be dispensed with and can give good results if it is employed in a modern manner through pre-prepared teaching plans that employ all the diverse teaching capabilities in the educational situation.

Analysis Of Proficiency And Motivation On The Choices Of English Language Learning Strategies Of Smk Negeri 1 Bmr

The objectives of this investigation were twofold: 1) to identify language learning strategies commonly used by tenth graders at SMK Negeri 1 Belitang Madang Raya , and 2) to determine the roles of three variables contributing to their strategy use: language proficiency and motivation. A set of questionnaires consisting of the Strategy Inventory for Language Learning (SILL), and the Motivated Strategies for Learning Questionnaire. This study was a qualitative study using Descritive method. The population in this study were all tenth graders at SMK Negeri 1 Belitang Madang Raya for the academic year 2021/2022 with a total of 159 students from five classes. The writer using random sampling technique to take samples. The sampling technique was carried out in one class, namely (TKJ1) which consisted of 30 students. the writer found that memory strategies 228(76%) ,Cognitif strategies 59(20%), Compensation strategies 180(60%), Metacognitive 105(35%), Affective Strategies 160(53%), Social Strategies 200(67%), The analysis revealed that, in general, memory strategies were found to be the most common learning strategies, whereas Cognitive strategies were the least common. Motivation was reported to be the most significant variables affecting their choices of language learning strategies. The analysis revealed certain elucidating facts that can be utilized in future planning of English language teaching to improve the English performance of students SMK Negeri 1 Belitang Madang Raya.
 
 Keyword: Learning Strategies, Proficiency And Motivation

Key Teaching Competencies for Success in Family Businesses: a Strategic Approach in Higher Education

Purpose: The main objective of the study is to develop essential teaching skills for the successful management of family businesses, proposing a strategic teaching plan that covers everything from student training to the creation and effective management of these companies, contributing to economic growth and meeting social demands. Theoretical Framework: The theoretical framework highlights the importance of preparing students to manage family businesses, focusing on specialized instructors. It underlines the crucial role of family businesses in economic growth and argues that proper training can reduce failure rates in this type of business. Design/Methodology/Approach: A quantitative and qualitative methodology was used, with a descriptive-correlational approach and a non-experimental cross-sectional design. The research was carried out in Mexican universities with a sample of 180 professors. Data collection included surveys and interviews, assessing key competencies such as communication, leadership, problem-solving, and financial management. Findings: The results indicate that, according to the teachers surveyed, the most relevant competencies for successful family business management include communication skills, leadership, problem-solving, teamwork, financial management, human resources, marketing, sales, innovation, and entrepreneurship. The research highlights the importance of specialized training and the need to align family and business interests. Research, Practical & Social Implications: It is suggested the implementation of a strategic educational program in higher education that covers from training to the management of family businesses, adapting to the changing demands of society and the business environment. Originality/Value: The study addresses a relevant issue and proposes concrete measures to improve training in entrepreneurship and family business management in the academic field. It proposes a comprehensive strategic teaching plan, establishing the necessary competencies for teachers and providing specific guidance towards the creation and management of family businesses.

Verification of the effectiveness of digital therapeutics principle textbooks for elementary and secondary school teachers

<p class="abstract">As the digital transformation of medical systems accelerates, digital therapeutics based on digital technology is attracting attention. Research on digital therapeutics has just begun, and the digital therapeutic market is growing internationally. For students to prepare for an intelligent information society, teachers must be prepared to lead and teach the principles of promising convergence technologies in the future. In this paper, we developed textbooks that can teach the principle of digital therapeutics (DTx) to elementary and secondary school teachers. Textbooks for elementary school teachers were designed with the principle of DTx for attention-deficit/hyperactivity disorder (ADHD), and textbooks for middle school teachers were developed with DTx corresponding to digital dramas as the central theme. The textbooks were developed based on the analyze learners, state objectives, select methods, media, and materials, utilize media and materials, require learner participation, evaluate and revise (ASSURE) model and included teaching and learning plans, worksheets, and reading materials for immediate use in the school field. In addition, textbooks can be used in non-face-to-face classes by using customized online teaching tools. In order to confirm the effectiveness of the developed textbooks, we applied the textbooks to 33 Korean teachers. As a result, teachers’ teaching and learning competency and information teaching efficacy were improved in preparation for the intelligent information society of elementary and secondary school teachers. It was a statistically significant result.</p>

Innovation of Civic Education Path in Colleges and Universities under the Integration of Big Data Technology

Abstract In the era of big data, different countries and regions use big data in the field of education. This paper constructs a personalized teaching model for Civics based on big data text-mining technology. Combined with the DIKW pyramid composition structure analysis, it shows how the data can be used to guide the process of teaching decisions. The frequency of Civics keywords in the teaching classroom and the key teaching content in the Civics classroom are determined using the word frequency analysis method. Similarity and KNN calculations are used to classify the students’ civics knowledge level, and personalized teaching plans are developed for their level of knowledge. The application of personalized teaching in Civics is practiced from the aspects of tracking students’ knowledge status and enhancing personalized teaching effects. The results show that the average final grade of class A in the experimental group is 102.37, and the average grade of class B in the control group is 97.37 in the final exam. Class A students have an average grade that is 5 points higher than that of class B. The average grade of students in class A is 5 points higher than that of class B. The two groups are tested using independent t-tests. The results of the two groups were subjected to independent t-test, F=7.047, p=0.00, 8<0.05, variance is not uniform. The t-test results show Sig=0.048<0.05, which indicates that there is a significant difference between the final grades of the experimental and control groups.

PERFORMANCE EVALUATION OF 7TH GRADE STUDENTS FOR SOCIAL SCIENCE EDUCATION (IPS) UTILISING SUPPORT VECTOR MACHINE (SVM) METHOD

In this study, a Support Vector Machine (SVM) method was utilized to predict the 7th grade performance of social science education (IPS) within the following advanced levels and to delineated an evaluation of ongoing teaching plans for 7th grade teachers. The model dataset was built for 192 students, consisting of cognitive and psychomotor formative The dataset refers to three classification categories (Adequate, Qualified, and Skilled) employed in computational algorithms for processing using linear and non-linear (polynomial and gaussian). The SVM model performance evaluation results obtained a performance accuracy (ACC) of 84% (linear), 75% for polynomials, and gaussians (90%), respectively. The Mathew Correlation Coefficient (MCC) evaluation described a validated performance of 47% for linear, 40% and 20% for polynomial and gaussians, respectively. In conclusion, student performances can follow the learning optimally at the next level, while teachers can replicate the learning process for 7th grade in future classrooms.

Investigation of the challenges in online formative assessment faced by Grade 10 Physical Sciences teachers in South African schools

Formative assessment is crucial for teachers to gauge students’ understanding of subject content, and applying formative assessment in an online context is more challenging than in a traditional Physical Sciences classroom. This study examines challenges experienced by Grade 10 Physical Sciences teachers when enacting online formative assessment as per the research question. The empirical investigation adopted a generic qualitative design in which three purposively selected Grade 10 Physical Sciences teachers from three different schools and quintiles within the Tshwane North District in South Africa. Data were collected through individual and focus group interviews. Interviews were video recorded, transcribed and thematically analysed using grounded theory to construct a thematic framework for supporting the study. Technological, pedagogical, and content knowledge (TPACK) was utilised as a theoretical framework underpinning the study to identify challenges experienced by Grade 10 Physical Sciences teachers when enacting online formative assessment. Challenges identified in this study include the enforced utilisation of Annual Teaching Plans, lack of technological knowledge, lack of internet connectivity, and poor digital infrastructure at schools, and in towns and cities in South Africa. The study aims to show that the Department of Basic Education faces the key imperative to provide continuous teacher professional development and concomitant online learning materials that can facilitate meaningful enactment of online formative assessment in various educational settings while policy is needed to ensure that every student has access to data and internet resources.

Analysis on the Practice of Life-Oriented Teaching of Ideological and Political Courses in Colleges and Universities from the Perspective of the New Era

Under the background of the new era, the curriculum reform of ideological and political theory courses in colleges and universities is urgent Life-oriented teaching method is based on students’ daily life experience and focuses on heuristic teaching. It is a feasible path to reform ideological and political courses. Through a literature review, this article summarizes the necessity and effective ways of applying life-oriented teaching methods in the reform and practice of ideological and political courses in colleges and universities. Research shows that life-oriented teaching methods can bridge the disconnect between ideological and political classrooms and students’ lives, and achieve an organic connection between “ideological and political courses” and “ideological and political life”. Use a variety of teaching methods such as life situations, case analysis, group discussions, etc. to stimulate student participation and achieve subtle educational effects. Contemporary college students have diverse groups, and teachers should design flexible and diverse life-oriented teaching plans according to different student groups. This study provides theoretical and practical reference for the reform of ideological and political courses under the conditions of the new era.

Meaning of Problem in School Mathematics: From Exercise and Application to the Learning-Triggering Problem

Background: There are, in the school context, especially in mathematics education, different historical and cultural meanings that are being produced and impregnated in the term Problem, as well as different understandings regarding the roles of Problems in teaching practices, which justifies studies focused on to the analysis of the implications of such conceptual meanings in the training of teachers who teach mathematics. Objectives: The aim is to answer the question: What are the meanings of Problem present in research and publications that dialogue with training for teaching mathematics? What would be, specifically, the meaning of Problem from a cultural-historical perspective? Design: The research was carried out with students of the degree course in mathematics of a Brazilian public institution, in which they participated in a training movement that had Problems as mediators. In the context of that research, theoretical and bibliographical studies were developed to understand ideas impregnated in didactic-pedagogical proposals that exalt the importance of Problems in teaching practices. We recognise these ideas as meanings based on the analysis that considers the theoretical and methodological assumptions of the cultural-historical theory. Setting and participants: Publications that circulated in the context of the training course for mathematics teachers were analysed, which contextualised the research that gave rise to this clipping about the understandings of the authors of those texts regarding their understanding of the possible relationships between the Problem and the teaching of mathematics. Data collection and analysis: The texts were selected from the bibliographies present in the teaching plans of the subjects of that degree course or that were used as a textual reference during the formative experiment carried out to produce research data and were analysed according to the assumptions of the cultural-historical theory to the concept of meaning. Results: The results point to the constitution of meanings according to which the Problems are usually adopted, in teaching practices, as lessons already presented or as opportunities to apply concepts in supposedly everyday situations. There is also a process of meaning from which the Problems are understood, from a cultural-historical perspective, as triggers of mathematics learning. Conclusions: The main conclusion points to the understanding that the Problems play, historically and culturally, some roles in mathematics teaching practices, among which, three stand out: they are opportunities to practice lessons already taught; they are opportunities to apply techniques, algorithms, or definitions in simulated situations (problem solving); or they are learning-triggering problems.

فاعلية برنامج GeoGebra في تحصيل مادة الرياضيات لدى طالبات الصف الأول المتوسط

The current research aims to identify the effectiveness of the GeoGebra program in the achievement of mathematics among middle first graders. For the purpose of verifying the objective of the research, the following null hypothesis was formulated: There is no statistically significant difference at the level of (0.05) between the average scores of the female students of the experimental group studying using the geogra program and the average scores of the female students of the control group studying in the usual way in the achievement test. The researcher used experimental design with partial control for the two equal groups,which includes two groups. The research sample consisted of (80) female students who were distributed equally between the two groups. The two groups were rewarded in variables (chronological age, intelligence, previous achievement). The researcher also adjusted extraneous variables such as the confidentiality of the experiment and processes related to maturity and experimental extinction. The researcher identified the scientific material represented in chapters (5 , 6) of the mathematics textbook for the first intermediate grade (I 3 of 2018 ) The researcher formulated behavioral goals for the scientific material, which reached (116) behavioral goals. She also prepared a teaching plan for the experimental group and a teaching plan for the control group. With regard to research tools, the researcher has prepared a post-acquisition test where (25) items were drafted for the achievement test (MCQ) for middle first grade students, and they were Answering the test according to four alternatives ( one true and three false ) , and the face validity of it was calculated by presenting it to a group of experienced and competent arbitrators. Reliability was calculated using the Kuder-Regardson equation (20) and calculating the coefficient of difficulty and its discernment and the effectiveness of the wrong alternatives for all items . The experiment was applied in the second course of the academic year (2022-2023) to the research sample of middle first grade students, where the researcher taught the two research groups, and after the end of the experiment, the results were analyzed statistically using the T-test for two independent samples. The results outperformed the experimental group taught using Geogbra software on control group students who studied in the normal way on the achievement test. Keywords: GeoGebra, achievement , Mathematics