Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology最新文献

{"title":"Multi-Collaborative C + + Language Experimental Teaching Reformation Based on PTA","authors":"Xiao Zhang, Faguo Zhou, Yany Yan","doi":"10.1145/3549843.3549846","DOIUrl":"https://doi.org/10.1145/3549843.3549846","url":null,"abstract":"The experimental teaching of C + + language course is very important to consolidate the theoretical knowledge of classroom teaching, cultivate students' practical ability, innovation ability and independent ability to solve problems. However, the current experimental teaching of C + + language course still has the following problems: 1 The teaching methods and teaching resources are limited; 2 Students are passive to accept the knowledge; 3 The interaction between teachers and students are limited in the professional teaching process. So the reformation of C + + language programming teaching is imminent. We analyse the characteristics of C + + programming practice course and puts forward a multi-collaborative C + + language programming reformation based on PTA[1], which is an assistant teaching platform for experiment. The reformation proposed in this paper can integrate the multiple advantages of offline teaching, network platform and entity laboratory, which can also take measures to deal with the experimental teaching itself, build a \"feature-oriented\" practice problem set, improve students' learning efficiency and optimize the teaching effect of C + + programming practice course.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123441964","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}

{"title":"The Process of Constructing the Concept Map of Autonomous Learning Mapping in the Permanent Exhibition Area of the National Taiwan Science Education Center in Taiwan","authors":"Hsiao-Ping Yu, Hongyun Chen, Yu-ya Wu, Wang-sheng Su","doi":"10.1145/3549843.3549849","DOIUrl":"https://doi.org/10.1145/3549843.3549849","url":null,"abstract":"In order to strengthen the effectiveness of the permanent exhibition area of the National Science Education Center (NTSEC) in science education and guide learners to learn independently, this study is based on the construction of scientific concept maps, and the construction of autonomous learning maps for the three permanent exhibits and understand its application. It can not only enrich teachers' teaching, but also serve as a guide for autonomous learners, improve their understanding of scientific concepts, and master the learning status of personal scientific concepts, as an important resource for autonomous learning in the field of science. This research consists of three teams of editors, reviewers and working groups to complete the scientific concept map of each educational stage (G1 to G9), and develop the learning routes, learning sheets and assessment based on the contents of these exhibits and concept maps., and build it into an autonomous learning map. To grasps the learners' ideas, experience activities are planned, including 420 people's actual experience and feedback. Through the feedback survey, it can be found that students can learn scientific concepts under the guidance of the learning map. The relevant research results will be provided to NTSEC staffs, self-study groups and teachers in primary and secondary schools.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129295343","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}

{"title":"Research on the Application of BP Neural Network in the Evaluation of College Teaching Quality","authors":"Xin Shen, Tao Bian","doi":"10.1145/3549843.3549854","DOIUrl":"https://doi.org/10.1145/3549843.3549854","url":null,"abstract":"With the expansion of colleges and universities, the society and public are more and more concerned about the quality of students' learning. For colleges and universities, how to improve the teaching quality of teachers is a problem that needs to be considered. Because of the diversity of teaching and students and the supervisory factors of the educational affairs department, it is difficult to be objective and fair in teaching quality evaluation. In order to improve the accuracy of the current college teaching quality evaluation, this paper applies the BP neural network to the college teaching quality evaluation. This paper constructs a BP (Back Propagation) neural network model for college teaching quality evaluation and verifies the accuracy of the BP neural network through experiments. The results show that the BP neural network established in this paper can evaluate the college teaching quality well.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127449729","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}

{"title":"A Meta-analysis of the Impact of E-learning on Learner Learning Outcomes","authors":"Ying-Hsiu Huang, Yuan Sun","doi":"10.1145/3549843.3549847","DOIUrl":"https://doi.org/10.1145/3549843.3549847","url":null,"abstract":"With the continuous promotion of education informatization, e-learning as a new type of learning method, more and more learners are obtaining diverse learning outcomes through this method. In order to examine the impact of e-learning on learners' learning outcomes, a meta-analytic research method was used to sort, analyze and evaluate 37 foreign studies on the impact of e-learning on learners' learning outcomes. The authors included 37 studies (37 effects) in the analysis yielding a sample size of N=12963 learners from 21 countries. The results show that e-learning positively impacts learners' learning outcomes (Q (37) =531.595, p < .001). The study found that the combined effect value of e-learning on learners' learning outcomes was 0.406, indicating that e-learning has a positive contribution to learners' learning outcomes and improves students' learning outcomes. Specifically, e-learning had a positive effect on learners' critical thinking, regulation, learning ability and academic achievement. However, the learning effectiveness of e-learning was influenced by moderating variables such as regional economic development, the contextual impact of the epidemic, and learners' education. Based on the results of the study, reflections are discussed on enhancing individual learners' learning styles and on the improvement of national education systems and policies.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131080010","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}

{"title":"Curriculum Construction and Implementation Based on the Development of University Teachers' TPACK: TPACK's curriculum construction and implementation","authors":"Xiyue Chen, Mengru Li, Yang Lv","doi":"10.1145/3549843.3549850","DOIUrl":"https://doi.org/10.1145/3549843.3549850","url":null,"abstract":"Improving university teachers’ level of technological pedagogical content knowledge (TPACK) is one of the important issues to improve their professional development and teaching quality. The short-term teacher education course TPACK Promotion Training designed in this study aims to improve teachers’ TPACK. Based on the Learning by Design theory, combined with the collaborative knowledge construction theory and characteristics of subject content, it constructs a curriculum framework including three modules: Ideate, Design, and Exchange. The aim is to improve teachers’ TPACK level in the process of knowledge internalization, attempt exploration and communication promotion. This study takes the teachers of a College English course in one university as the object to implement the course. According to the significant difference between the pre- and post-test data of TPACK scale, the effect of curriculum implementation is analyzed. The results indicate that the aforementioned course has a good effect on improving the TPACK level of university College English teachers.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127955791","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}

{"title":"How Do Consumers Respond to Promotion When Information Overload Exists: An Elaboration Likelihood Model Perspective?","authors":"Zongwei Li, X. Tian, Yanhui Zhang, Rong Yuan","doi":"10.1145/3549843.3549857","DOIUrl":"https://doi.org/10.1145/3549843.3549857","url":null,"abstract":"This study discusses the online shopping behavior of consumers under the context of information overload. An analysis is conducted regarding the moderating effect of consumers' cognitive ability on how information overload exerts influence on consumers' online purchase decisions. Applying ELM theoretical frame, online shopping behavior of characteristics consumers in case of information overload is modeled through two variables: discount and winport. The results reveal that discounts and prosperous shops will target consumers for the promotion of online shopping. When information gets overloaded, the influence of discounts on consumers' online purchase behavior is enhanced, as is the influence of winport on online purchase behavior. In the case of information overload, discounts and prosperous shops have a more significant influence on consumers with lower cognitive levels as compared to consumers with higher cognitive levels. The analytical results are of great practical significance to improving the shopping experience of consumers and the marketing strategies adopted by merchants. This research sheds light on the marketing area for researchers and provides a managerial strategy for the online platform economy.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133327157","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}

{"title":"Determining the Role of Alternative Roads in Traffic Congestion using Neural Networks","authors":"J. P. Tomas, Ramcez Philippe C. Tibig, Patrick Quinn S. Ibojos, Jasper June M. Mortel","doi":"10.1145/3549843.3549862","DOIUrl":"https://doi.org/10.1145/3549843.3549862","url":null,"abstract":"As developing nations progress it leads to more vehicles on the road. Vehicles are necessary to transport people and goods which ultimately leads to road congestion. Current methodologies in traffic congestion prediction are still inadequate, especially in developing nations. In this paper, we propose a use case of combining neural networks with computer vision using existing CCTV camera installations to obtain the necessary information for traffic congestion prediction.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129995591","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}

{"title":"Artificial Intelligence Adoption in QSR Industry","authors":"A. Lee, Atul Bengeri, Chong Chin Kan","doi":"10.1145/3549843.3549859","DOIUrl":"https://doi.org/10.1145/3549843.3549859","url":null,"abstract":"According to research conducted by Allied Market Research (Kale and Deshmukh, 2020), the Quick-service restaurant (QSR) industry has been enjoying significant growth over the last several years and the trend is expected to continue at least over the next five years. This is due to the agility of most QSR brands in adapting to consumer needs, quality food products and service innovation. Offering the convenience of brands reach for their consumers such as a restaurant within the reach of the customer, as well as providing online ordering and food delivery convenience. The convenience of the omnichannel digital services offered by typical QSR restaurant brands to their customer provides convenience for service delivery and at the same time provides an opportunity to collect, collate, check, consume and analyse the data to examine, explore and provide hindsight, insight and foresight for the QSR industry to be ahead of the competition. Not only are these digital customer channels a great way of providing a better customer experience, but they also help QSR operators in capturing massive data such as sales transactions, customer details, product performance, and daypart (breakfast, lunch and dinner) sales insights. With the ability to analyse and perform analytics on the data and from a data strategy perspective, it is paramount to have a robust big data platform, data warehouse and ability to consolidate data from all the IT systems. This is to enable the development of BI/dashboards to provide better business insights, such as real-time and daypart product sales. Data could also be used to develop new digital products for more positive customer engagements such as upselling and loyalty programmes or for implementing of “smart kitchen” that is able to connect various datasets for maximum kitchen efficiency and cost optimisation. Due to a lack of data science approach and machine learning capability, most QSR brands are missing this sales uplifting opportunity. To develop an effective A.I. and machine learning in the QSR business, there is a need to evaluate and select the best machine learning techniques to address the business challenges. Our objective is to explore and recommend the various machine learning techniques that can be applied to the QSR industry to gain insights and provide the necessary analysis and analytics to ensure quality service and also address changing business challenges in the competitive and ever-changing market by deploying various machine learning models for prediction and pattern analysis through classification and association approaches.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128554388","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}

{"title":"Interaction Design of New Media Reading Platforms Based on Value Co-Creation","authors":"L. Guo, Zhiwei Li, Yu Zhou, Mengxiao Wu, Yu-Syuan Liao, Cong Cao","doi":"10.1145/3549843.3549860","DOIUrl":"https://doi.org/10.1145/3549843.3549860","url":null,"abstract":"The rapid development of new media technologies, coupled with the fact that people have passed the time of isolation during the pandemic by reading, has accelerated new media reading platforms in the post-pandemic era, and their interaction design has also triggered new thinking. Based on the perspective of value co-creation, this paper presents a study of the interaction design of new media reading platforms. According to the Technology Acceptance Model (TAM) model and the SOR theory, the study collected data from 163 respondents through a questionnaire. Variance-based structural equation modelling (PLS-SEM) was used to test the proposed structural model. The results of this study showed that value co-creation had a significant impact on the user's perceived usefulness, and the system quality of the platform had a positive impact on the perceived ease of use by the platform users. The perceived ease of use and the perceived usefulness showed a positive impact on the user's intention to use the platform continuously. However, perceived usefulness was more significant than the impact of perceived ease of use on the intent to continue using the platform. Regarding new media reading platforms, the impact of perceived ease of use on perceived usefulness was not significant, as proposed. These findings fill the gap in related research by providing insights into new research directions and ideas for focusing on specific platforms.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116295487","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}

{"title":"Factors Influencing Continuous Intention to Use Mobile Commerce Applications during the Covid-19 Pandemic: Mobile Commerce Applications","authors":"Su-Mae Tan, Tze Wei Liew, Chin Lay Gan, Chee Yoong Chong, Kah Ming Ong","doi":"10.1145/3549843.3549855","DOIUrl":"https://doi.org/10.1145/3549843.3549855","url":null,"abstract":"This study examines the factors influencing continuous intention to use mobile commerce applications in Malaysia during the COVID-19 pandemic. Drawing on the Unified Theory of Use and Acceptance of Technology (UTAUT), Task-Technology Fit Model (TTF), and Expectancy Confirmation Model (ECM), the multiple regression analysis indicated that Performance Expectancy (PE), Social Influence (SI), Perceived Task-Technology Fit (TTF), and Hedonic Value (HV) positively affect continuous intention to use mobile commerce applications. Contrariwise, Effort Expectancy (EE), Trust (TR), Confirmation (COF), and Perceived Risk (PR) did not predict continuous intention to use mobile commerce applications. Theoretical and practical implications are discussed in this paper.","PeriodicalId":253754,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Education, E-Business and E-Technology","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115443235","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}