Pub Date : 2022-01-06DOI: 10.1109/ICEIT54416.2022.9690746
L. Ni, Qiang Huang, Jing Ye, Bin Hu, Ni Zhang, Xiangqian Chang, Zhihao Su
Intelligent management system centered on artificial intelligence algorithms, cloud computing technology, mobile Internet technology, and big data applications have made remarkable achievements in various industries. The intelligent management system designed in this project is to apply these technologies to explore a vocational education development model that adapts to the current Internet society. Vocational education needs to be oriented to the professional needs of the society, it needs to be oriented to students' vocational choices, and it needs to be oriented to the skill range of teachers. This project collects students' learning data and teaches students in accordance with their aptitude in the course of students' daily classes, matches students with appropriate vocational and technical elective courses and teachers, and records students' feedback during their studies, and in the future career development of students, to help students make better career choices. At the same time, the needs of students, companies, and teachers in vocational education will be collected, and artificial intelligence algorithms will be used to process student data and corporate recruitment data, automatically matching the most suitable combination of students and companies. The biggest core innovation of this system is the latest deep learning algorithm, and according to the actual situation of vocational education, the residual neural network is improved to create an improved residual neural network suitable for students' professional development recommendations. The final result of this algorithm, the auxiliary role in the process of student vocational education and development is far greater than the traditional vocational education management system, and in the C University student education and professional development database, there is about 90% satisfaction rate and the 85% occupational matching accuracy rate is far higher than the performance of the traditional vocational education management system.
{"title":"Vocational Education Development Model Based on Intelligent Management System","authors":"L. Ni, Qiang Huang, Jing Ye, Bin Hu, Ni Zhang, Xiangqian Chang, Zhihao Su","doi":"10.1109/ICEIT54416.2022.9690746","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690746","url":null,"abstract":"Intelligent management system centered on artificial intelligence algorithms, cloud computing technology, mobile Internet technology, and big data applications have made remarkable achievements in various industries. The intelligent management system designed in this project is to apply these technologies to explore a vocational education development model that adapts to the current Internet society. Vocational education needs to be oriented to the professional needs of the society, it needs to be oriented to students' vocational choices, and it needs to be oriented to the skill range of teachers. This project collects students' learning data and teaches students in accordance with their aptitude in the course of students' daily classes, matches students with appropriate vocational and technical elective courses and teachers, and records students' feedback during their studies, and in the future career development of students, to help students make better career choices. At the same time, the needs of students, companies, and teachers in vocational education will be collected, and artificial intelligence algorithms will be used to process student data and corporate recruitment data, automatically matching the most suitable combination of students and companies. The biggest core innovation of this system is the latest deep learning algorithm, and according to the actual situation of vocational education, the residual neural network is improved to create an improved residual neural network suitable for students' professional development recommendations. The final result of this algorithm, the auxiliary role in the process of student vocational education and development is far greater than the traditional vocational education management system, and in the C University student education and professional development database, there is about 90% satisfaction rate and the 85% occupational matching accuracy rate is far higher than the performance of the traditional vocational education management system.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133279353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-06DOI: 10.1109/ICEIT54416.2022.9690734
Yabo Luo, Zhouxv Wang, Feng Zhang
The teaching of scheduling method involves the classification of different scheduling problems. How to make students understand the uniqueness of different scheduling problems is a difficult problem in teaching. Taking the traditional Chinese medicine extraction workshop as a teaching case, this paper makes students understand the uniqueness of traditional Chinese medicine extraction workshop in operation process, sorting mode, time attribute, dynamic attribute and so on through the comparison experiment between ordinary workshop and traditional Chinese medicine extraction workshop. Through case comparison experiment teaching, students can more intuitively understand the diversity and uniqueness of scheduling problems.
{"title":"Research on Heuristic Teaching Model Based on Case Comparative Experiment","authors":"Yabo Luo, Zhouxv Wang, Feng Zhang","doi":"10.1109/ICEIT54416.2022.9690734","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690734","url":null,"abstract":"The teaching of scheduling method involves the classification of different scheduling problems. How to make students understand the uniqueness of different scheduling problems is a difficult problem in teaching. Taking the traditional Chinese medicine extraction workshop as a teaching case, this paper makes students understand the uniqueness of traditional Chinese medicine extraction workshop in operation process, sorting mode, time attribute, dynamic attribute and so on through the comparison experiment between ordinary workshop and traditional Chinese medicine extraction workshop. Through case comparison experiment teaching, students can more intuitively understand the diversity and uniqueness of scheduling problems.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133066105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-06DOI: 10.1109/ICEIT54416.2022.9690758
Qi Wei, Xiaolin Yao
Personalized learning resources recommendation is one of the crucial problems under the background of internet plus education. The current personalized learning resources recommendation methods are mostly based on the learner's basic information and learning behavior, without considering the logical relation between the learning resources. With above consideration, we use knowledge graph to construct the class model. And then we propose an efficient personalized recommendation algorithm based on the interest similarity and knowledge connection degree and design a related recommendation system. Taking the discrete mathematics as an instance, we verify the correctness and effectiveness of our recommendation algorithm by experiment.
{"title":"Personalized Recommendation of Learning Resources Based on Knowledge Graph","authors":"Qi Wei, Xiaolin Yao","doi":"10.1109/ICEIT54416.2022.9690758","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690758","url":null,"abstract":"Personalized learning resources recommendation is one of the crucial problems under the background of internet plus education. The current personalized learning resources recommendation methods are mostly based on the learner's basic information and learning behavior, without considering the logical relation between the learning resources. With above consideration, we use knowledge graph to construct the class model. And then we propose an efficient personalized recommendation algorithm based on the interest similarity and knowledge connection degree and design a related recommendation system. Taking the discrete mathematics as an instance, we verify the correctness and effectiveness of our recommendation algorithm by experiment.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115126278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-06DOI: 10.1109/ICEIT54416.2022.9690724
Rui Wang, Yanyan Li
The vigorous development of the internet and technology has promoted the rapid popularization of online education. Online learning space such as social media and class learning forum, has gradually become an important place for education. However, few people pay attention to the new characteristics of students' learning in online learning space, such as self-presentation behavior manifestations and motivations. The connotation of the dimensions of self-presentation behaviors is not well defined, and its relationship with online learning presence is not clear. Therefore, this study explores the manifestations and internal motivation of college students' self-presentation behaviors through quantitative research, and analyses the relationship between self-presentation behaviors and online learning presence. It is found that college students' self-presentation behaviors in online learning space can be described by specific manifestations such as posting enthusiasm and interaction frequency. Meanwhile, there are four main motivations for college students' self-presentation behaviors, and the proportion of these motivations in different situations is not the same. Moreover, there is a high positive correlation between self-presentation and online learning presence.
{"title":"Exploring College Students' Self-Presentation Behaviors, Motivations and Relationship with Presence in Online Learning Space","authors":"Rui Wang, Yanyan Li","doi":"10.1109/ICEIT54416.2022.9690724","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690724","url":null,"abstract":"The vigorous development of the internet and technology has promoted the rapid popularization of online education. Online learning space such as social media and class learning forum, has gradually become an important place for education. However, few people pay attention to the new characteristics of students' learning in online learning space, such as self-presentation behavior manifestations and motivations. The connotation of the dimensions of self-presentation behaviors is not well defined, and its relationship with online learning presence is not clear. Therefore, this study explores the manifestations and internal motivation of college students' self-presentation behaviors through quantitative research, and analyses the relationship between self-presentation behaviors and online learning presence. It is found that college students' self-presentation behaviors in online learning space can be described by specific manifestations such as posting enthusiasm and interaction frequency. Meanwhile, there are four main motivations for college students' self-presentation behaviors, and the proportion of these motivations in different situations is not the same. Moreover, there is a high positive correlation between self-presentation and online learning presence.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123082285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-06DOI: 10.1109/iceit54416.2022.9690719
{"title":"[Copyright notice]","authors":"","doi":"10.1109/iceit54416.2022.9690719","DOIUrl":"https://doi.org/10.1109/iceit54416.2022.9690719","url":null,"abstract":"","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122790859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
At present, ideological and political education (IPE) course in universities cannot meet the needs of talent training. In addition, curriculum IPE comes into being. However, the execution of curriculum IPE needs to be further explored. Against the background of engineering certification, we designed the ideological and political content of a course and integrated it into the teaching goal of the introduction to artificial intelligence (AI) course, considering its orientation in the training of computer science and technology. Then, we designed different integration methods to incorporate ideological content into regular teaching. Finally, we constructed assessment methods using outcome-based education (OBE) theory. We hope that through the study of this course, we can guide students to establish a correct outlook on life and values, as well as a worldview, and to become powerful successors to builders in the new era.
{"title":"Ideological and Political Teaching Reform: An Introduction to Artificial Intelligence Based on the OBE Concept","authors":"Xiaoran Lin, Yachao Wang, Rongmei Zhang, Tianhua Lin, Jianke Li, Xueya Xue","doi":"10.1109/ICEIT54416.2022.9690629","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690629","url":null,"abstract":"At present, ideological and political education (IPE) course in universities cannot meet the needs of talent training. In addition, curriculum IPE comes into being. However, the execution of curriculum IPE needs to be further explored. Against the background of engineering certification, we designed the ideological and political content of a course and integrated it into the teaching goal of the introduction to artificial intelligence (AI) course, considering its orientation in the training of computer science and technology. Then, we designed different integration methods to incorporate ideological content into regular teaching. Finally, we constructed assessment methods using outcome-based education (OBE) theory. We hope that through the study of this course, we can guide students to establish a correct outlook on life and values, as well as a worldview, and to become powerful successors to builders in the new era.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130484838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-06DOI: 10.1109/ICEIT54416.2022.9690714
Lijuan Zhang
Nowadays blended learning is a promising teaching mode and it can be put into practice with different teaching approaches, among which production-oriented approach is one that has been paid attention to by many scholars and teachers. This study does an experiment to testify whether blended learning based on production-oriented approach is an effective and helpful teaching mode and it also carries out a questionnaire. Through the questionnaire, the students' attitudes, initiative and feelings towards blended learning based on production-oriented approach are discussed. Besides, a correlation analysis finds out that students' satisfaction, initiative and concentration are closely related with students' improvement.
{"title":"Exploration of Blended Learning Based on Production-Oriented Approach","authors":"Lijuan Zhang","doi":"10.1109/ICEIT54416.2022.9690714","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690714","url":null,"abstract":"Nowadays blended learning is a promising teaching mode and it can be put into practice with different teaching approaches, among which production-oriented approach is one that has been paid attention to by many scholars and teachers. This study does an experiment to testify whether blended learning based on production-oriented approach is an effective and helpful teaching mode and it also carries out a questionnaire. Through the questionnaire, the students' attitudes, initiative and feelings towards blended learning based on production-oriented approach are discussed. Besides, a correlation analysis finds out that students' satisfaction, initiative and concentration are closely related with students' improvement.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128112633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-06DOI: 10.1109/ICEIT54416.2022.9690748
E. O. Simon
Education 4.0 shifting the focus from teaching to learning is for diverse learners learn and develop meta empirical competence and academic competence that make them valuable in this digital era. In student-centered learning, the teacher as vital support has to trust learners attain their written goals through authentic learning and real problem-solving assessment for enduring life skills. This study aimed to analyze the effectiveness of T. A.L.A goal setting life skills learning approach on the meta-empirical competence and academic performance of diverse learners of online junior high school students of First City Providential College vis-á-vis Outcomes-Based Education paradigm. The study employed an experimental research design that relies on a controlled method, random assignment, and manipulation of variables to test the hypothesis. Independent T-test was used to determine the extent of significant difference that exists in terms of meta-empirical competence and academic performance of the control and experimental groups in the pretest and posttest results in Chemistry 10 and goal-setting questionnaire of Gaumer, Erickson, and Noonan, 2018. It was revealed that students in the experimental groups performed better than the students in the control groups in both meta-empirical competence and academic performance. Thus, the T. A.L.A goal-setting life skills learning approach on the meta empirical competence and academic performance of diverse learners was effective in learning Chemistry 10 lessons in the last quarter of the academic year 2020–2021.
教育4.0将重点从教转移到学，是为了让不同的学习者学习和发展元经验能力和学术能力，使他们在这个数字时代有价值。在以学生为中心的学习中，教师作为重要的支持必须信任学习者通过真实的学习和真正的解决问题的评估来实现他们的书面目标，以获得持久的生活技能。本研究旨在探讨在-á-vis结果导向教育模式下，t.a.l.a目标设定生活技能学习方法对第一城市天意学院在线初中生多元学习者的元实证能力和学习成绩的影响。该研究采用了一种实验研究设计，依靠控制方法、随机分配和对变量的操纵来检验假设。采用独立t检验确定了Gaumer, Erickson, and Noonan(2018)的化学10和目标设定问卷的前测和后测结果中，对照组和实验组的元经验能力和学业成绩存在显著差异的程度。结果表明，实验组学生在元经验能力和学业成绩上均优于对照组学生。因此，在2020-2021学年最后一个季度，基于多元学习者的元经验能力和学习成绩的目标设定生活技能学习方法在化学10课的学习中是有效的。
{"title":"T.A.L.A Goal Setting Life Skills Learning Approach on the Meta-Empirical Competence and Academic Performance of Diverse Learners","authors":"E. O. Simon","doi":"10.1109/ICEIT54416.2022.9690748","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690748","url":null,"abstract":"Education 4.0 shifting the focus from teaching to learning is for diverse learners learn and develop meta empirical competence and academic competence that make them valuable in this digital era. In student-centered learning, the teacher as vital support has to trust learners attain their written goals through authentic learning and real problem-solving assessment for enduring life skills. This study aimed to analyze the effectiveness of T. A.L.A goal setting life skills learning approach on the meta-empirical competence and academic performance of diverse learners of online junior high school students of First City Providential College vis-á-vis Outcomes-Based Education paradigm. The study employed an experimental research design that relies on a controlled method, random assignment, and manipulation of variables to test the hypothesis. Independent T-test was used to determine the extent of significant difference that exists in terms of meta-empirical competence and academic performance of the control and experimental groups in the pretest and posttest results in Chemistry 10 and goal-setting questionnaire of Gaumer, Erickson, and Noonan, 2018. It was revealed that students in the experimental groups performed better than the students in the control groups in both meta-empirical competence and academic performance. Thus, the T. A.L.A goal-setting life skills learning approach on the meta empirical competence and academic performance of diverse learners was effective in learning Chemistry 10 lessons in the last quarter of the academic year 2020–2021.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"469 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115869796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Training data set plays an important role in Natural Language Processing (NLP) or Machine Learning (ML) Tasks. In the application of NLP in Japanese language education, construction of a high-quality training data set becomes the pre-requisite of automatic extraction of grammar knowledge where there are limited training data sets are available. In this work, a corpus-based method for building training data set was proposed aiming to reach a satisfactory performance in automatic extraction of Japanese sentence patterns in Japanese grammar. Furthermore, a machine learning algorithm based on Conditional Random Field (CRF) was applied to train a model using the manually annotated training data sets in experiments. A comparative evaluation was conducted in terms of our proposed method and a baseline method based on paper-based sampling. Experimental results indicated that our proposed method based on corpus-based sampling to build training data set achieved much higher accuracy than paper-based sampling.
训练数据集在自然语言处理(NLP)或机器学习(ML)任务中起着重要作用。在NLP在日语教学中的应用中，在训练数据集有限的情况下，构建高质量的训练数据集成为语法知识自动提取的前提。本文提出了一种基于语料库的训练数据集构建方法，旨在实现日语语法中日语句型的自动提取。在此基础上，采用基于条件随机场(Conditional Random Field, CRF)的机器学习算法，利用人工标注的训练数据集对模型进行训练。将本文提出的方法与基于纸质抽样的基线方法进行了比较评价。实验结果表明，本文提出的基于语料库采样的训练数据集构建方法比基于纸张采样的训练数据集构建方法具有更高的准确率。
{"title":"A Corpus-Based Sampling to Build Training Data Set for Extracting Japanese Sentence Pattern","authors":"Jun Liu, Yihaoran Ning, Yuanyu Fang, Luxuan Zhuang, Zhuohan Yu, Tingkun Wu","doi":"10.1109/ICEIT54416.2022.9690759","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690759","url":null,"abstract":"Training data set plays an important role in Natural Language Processing (NLP) or Machine Learning (ML) Tasks. In the application of NLP in Japanese language education, construction of a high-quality training data set becomes the pre-requisite of automatic extraction of grammar knowledge where there are limited training data sets are available. In this work, a corpus-based method for building training data set was proposed aiming to reach a satisfactory performance in automatic extraction of Japanese sentence patterns in Japanese grammar. Furthermore, a machine learning algorithm based on Conditional Random Field (CRF) was applied to train a model using the manually annotated training data sets in experiments. A comparative evaluation was conducted in terms of our proposed method and a baseline method based on paper-based sampling. Experimental results indicated that our proposed method based on corpus-based sampling to build training data set achieved much higher accuracy than paper-based sampling.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116097217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-06DOI: 10.1109/ICEIT54416.2022.9690716
Na Wang, Liping Li
Combined the background of ideological and political education, we have carried out theoretical teaching reform and exploration on compiler technology course. Considering both the professional requirements and the ideological and political construction, with building various forms of online resources such as course website and videos, we put forward a hybrid teaching scheme of compiling technology course. The schema divide the learning process into several stages including preview, videos online, review, ideological and political construction, and ability expanding. We emphasis on the construction on ideological and political, and propose relative outline for each chapter. The results show that teaching reform on this course has a great advantage in professional teaching and ideological and political education.
{"title":"Teaching Reform on Compiler Technology Course Based on Ideological and Political Construction","authors":"Na Wang, Liping Li","doi":"10.1109/ICEIT54416.2022.9690716","DOIUrl":"https://doi.org/10.1109/ICEIT54416.2022.9690716","url":null,"abstract":"Combined the background of ideological and political education, we have carried out theoretical teaching reform and exploration on compiler technology course. Considering both the professional requirements and the ideological and political construction, with building various forms of online resources such as course website and videos, we put forward a hybrid teaching scheme of compiling technology course. The schema divide the learning process into several stages including preview, videos online, review, ideological and political construction, and ability expanding. We emphasis on the construction on ideological and political, and propose relative outline for each chapter. The results show that teaching reform on this course has a great advantage in professional teaching and ideological and political education.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125691444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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