The “Trinity” Comprehensive Evaluation Enrollment (TCEE) of colleges and universities is one enrollment reform of Chinese National College Entrance Examination (NCEE) since 2012. But how to select students with professional qualifications by predicting academic performance after admission is a problem requiring an urgent solution. This paper analyzed the academic achievements and registration datasets of students admitted by Wenzhou Medical University via TCEE and established a classifier by using a decision tree, support vector machine and Bayesian network. A nested integrated studying method was then adopted and accuracy, precision, recall, and specificity indicators were used to evaluate model performance. Model performance of the bagged classifier for nested decision tree was found the most suitable. Findings are conducive to optimizing the selection scheme of the TCEE and improving managerial decision making.
{"title":"Selecting Potential Medical Professional Ability Students in Chinese NCEE by Predicting GPA through Data Mining","authors":"F. Chen","doi":"10.1145/3485768.3485808","DOIUrl":"https://doi.org/10.1145/3485768.3485808","url":null,"abstract":"The “Trinity” Comprehensive Evaluation Enrollment (TCEE) of colleges and universities is one enrollment reform of Chinese National College Entrance Examination (NCEE) since 2012. But how to select students with professional qualifications by predicting academic performance after admission is a problem requiring an urgent solution. This paper analyzed the academic achievements and registration datasets of students admitted by Wenzhou Medical University via TCEE and established a classifier by using a decision tree, support vector machine and Bayesian network. A nested integrated studying method was then adopted and accuracy, precision, recall, and specificity indicators were used to evaluate model performance. Model performance of the bagged classifier for nested decision tree was found the most suitable. Findings are conducive to optimizing the selection scheme of the TCEE and improving managerial decision making.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114923458","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}
Rommel Hernandez Urbano Jr., Jeffrey Uy Ajero, Angelic Legaspi Angeles, Maria Nikki Hacar Quintos, Joseph Marvin Regalado Imperial, Ramon Llabanes Rodriguez
With the rise of human-centric technologies such as social media platforms, the amount of hate also continues to grow proportionally with the increasing number of users worldwide. TikTok is one of the most-used social media platforms due to its feature that allows users to express themselves via creating and sharing short-form videos based on any desired topic and content. In addition, it has also become a platform for political discourse and mudslinging as users can freely express an opinion and indirectly debate with random people online. In this study, we propose the use of BERT, a complex bidirectional transformer-based model, for the task of automatic hate speech detection from speech transcribed from Tagalog TikTok videos. Results of our experiments show that a BERT-based hate speech classifier scores 61% F1. We also extended the task beyond several algorithms such as LSTM, Naïve Bayes, and Decision Tree and found out that traditional methods such as a simple Bernoulli Naïve Bayes approach remain at par with the BERT model.
{"title":"A BERT-based Hate Speech Classifier from Transcribed Online Short-Form Videos","authors":"Rommel Hernandez Urbano Jr., Jeffrey Uy Ajero, Angelic Legaspi Angeles, Maria Nikki Hacar Quintos, Joseph Marvin Regalado Imperial, Ramon Llabanes Rodriguez","doi":"10.1145/3485768.3485806","DOIUrl":"https://doi.org/10.1145/3485768.3485806","url":null,"abstract":"With the rise of human-centric technologies such as social media platforms, the amount of hate also continues to grow proportionally with the increasing number of users worldwide. TikTok is one of the most-used social media platforms due to its feature that allows users to express themselves via creating and sharing short-form videos based on any desired topic and content. In addition, it has also become a platform for political discourse and mudslinging as users can freely express an opinion and indirectly debate with random people online. In this study, we propose the use of BERT, a complex bidirectional transformer-based model, for the task of automatic hate speech detection from speech transcribed from Tagalog TikTok videos. Results of our experiments show that a BERT-based hate speech classifier scores 61% F1. We also extended the task beyond several algorithms such as LSTM, Naïve Bayes, and Decision Tree and found out that traditional methods such as a simple Bernoulli Naïve Bayes approach remain at par with the BERT model.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132406647","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}
Lingling Deng, Prapa Rattadilok, Gabrielle Saputra Hadian, Hao Liu
Atypical sensory responses are one of the most common issues observed in Autism Spectrum Disorder (ASD), affecting the development of a child's capability for social interaction, independent living and learning. In the past two decades, there has been a growing number of studies of technology-based interventions for atypical sensory responses of individuals with ASD. However, their effects and limitations have not been fully examined. This systematic review investigates the effects of sensory-based technologies (SBTs) on atypical sensory responses of children with ASD. Publications that report on the use of a SBT as an intervention tool were retrieved from four academic databases: “PubMed”, “IEEE Xplore”, “ACM Digital Library” and “Web of Science”. The search finally yielded 18 articles. The results indicated an emerging trend of studies investigating the effects of SBTs on atypical sensory responses over the past decade. Challenges and limitations were found in studies, mainly because the literatures adopted different methods and indicators, small sample sizes, and varying experimental designs. Findings were that the use of SBTs could effectively improve auditory and visual recognition, and some other behavioural outcomes such as attention in children with ASD. Future development of SBTs could further integrate more advanced techniques, such as machine learning, in order to widen the scope of SBTs usage to help more ASD children.
非典型感觉反应是自闭症谱系障碍(ASD)中最常见的问题之一，影响儿童社会交往、独立生活和学习能力的发展。在过去的二十年里，对ASD患者非典型感觉反应的技术干预研究越来越多。然而，它们的影响和局限性尚未得到充分研究。本系统综述探讨了基于感觉的技术(sbt)对ASD儿童非典型感觉反应的影响。从四个学术数据库中检索了关于使用SBT作为干预工具的出版物:“PubMed”、“IEEE explore”、“ACM数字图书馆”和“Web of Science”。搜索最终产生了18篇文章。结果表明，在过去的十年中，研究SBTs对非典型感觉反应的影响的新趋势。研究中存在挑战和局限性，主要是由于文献采用的方法和指标不同，样本量小，实验设计不同。研究发现，使用sbt可以有效地改善听觉和视觉识别，以及其他一些行为结果，如自闭症儿童的注意力。未来sbt的发展可以进一步整合更先进的技术，如机器学习，以扩大sbt的使用范围，帮助更多的ASD儿童。
{"title":"Effect of Sensory-based Technologies on Atypical Sensory Responses of Children with Autism Spectrum Disorder: A Systematic Review","authors":"Lingling Deng, Prapa Rattadilok, Gabrielle Saputra Hadian, Hao Liu","doi":"10.1145/3485768.3485782","DOIUrl":"https://doi.org/10.1145/3485768.3485782","url":null,"abstract":"Atypical sensory responses are one of the most common issues observed in Autism Spectrum Disorder (ASD), affecting the development of a child's capability for social interaction, independent living and learning. In the past two decades, there has been a growing number of studies of technology-based interventions for atypical sensory responses of individuals with ASD. However, their effects and limitations have not been fully examined. This systematic review investigates the effects of sensory-based technologies (SBTs) on atypical sensory responses of children with ASD. Publications that report on the use of a SBT as an intervention tool were retrieved from four academic databases: “PubMed”, “IEEE Xplore”, “ACM Digital Library” and “Web of Science”. The search finally yielded 18 articles. The results indicated an emerging trend of studies investigating the effects of SBTs on atypical sensory responses over the past decade. Challenges and limitations were found in studies, mainly because the literatures adopted different methods and indicators, small sample sizes, and varying experimental designs. Findings were that the use of SBTs could effectively improve auditory and visual recognition, and some other behavioural outcomes such as attention in children with ASD. Future development of SBTs could further integrate more advanced techniques, such as machine learning, in order to widen the scope of SBTs usage to help more ASD children.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134329678","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}
∗ This article provides more in-depth insights into the cause-and-effect relationship between each construct. A quantitative methods approach is used in this study to explore and examine factors influencing consumers’ continuance intention of a subscription box. The investigation explores the question, how to influence consumer continuance intention to use subscription boxes? We distribute questionnaires to subscription box consumers in the U.K., Europe, Oceania, Middle East and Africa, America, and Asia. Moreover, we applied structural equation modeling by PLS for data analysis and tested the model with survey data from 176 consumers. The results show that perceived variety, perceived convenience, perceived enjoyment, and variety-seeking tendencies significantly influence consumer continuance intention mediating by satisfaction. While value for money perceived surprise, personalization, and consumer innovativeness has no significance. The findings have practical implications for sellers and companies, directing what variables to concentrate on to improve the subscription box’s consumer continuance intention.
{"title":"Unveiling the Factors Influencing Consumers' Continuance Intention to Use a Subscription Box","authors":"Hania Aminah, Stephanie Hui Wen Chuah, Pei Kuan Lin, M. Moslehpour, Afrizal Firman","doi":"10.1145/3485768.3485772","DOIUrl":"https://doi.org/10.1145/3485768.3485772","url":null,"abstract":"∗ This article provides more in-depth insights into the cause-and-effect relationship between each construct. A quantitative methods approach is used in this study to explore and examine factors influencing consumers’ continuance intention of a subscription box. The investigation explores the question, how to influence consumer continuance intention to use subscription boxes? We distribute questionnaires to subscription box consumers in the U.K., Europe, Oceania, Middle East and Africa, America, and Asia. Moreover, we applied structural equation modeling by PLS for data analysis and tested the model with survey data from 176 consumers. The results show that perceived variety, perceived convenience, perceived enjoyment, and variety-seeking tendencies significantly influence consumer continuance intention mediating by satisfaction. While value for money perceived surprise, personalization, and consumer innovativeness has no significance. The findings have practical implications for sellers and companies, directing what variables to concentrate on to improve the subscription box’s consumer continuance intention.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115384371","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}
Tippawan Meepung, Prachayanan Nilsook, P. Wannapiroon
Digital transformation with university context to create a new performance for educational opportunities for Thais to access new knowledge without restrictions on time – location, digital transformation in the academic sector. It has partnered with all key stakeholders within the institution to make decisions about software and infrastructure and make decisions about changes, transitions, customizations, and upgrades that will drive the best long-term value. High Performance Organization is an organization of excellence. Everyone plays an important role in the drive forward, happening on a personal level. A group or department contributes to achieving the organization's goals. Have a pronounced ability to establish excellent standards of work. For superior competitiveness. The purpose of this research the content divided into two Phases: Phase 1: Synthesize the element of High Performance Digital Entrepreneurial University, Step1) Synthesis from documents, theories, and related research of Digital Transformation Framework, Step 2) Study element of Digital Transformation for High Performance Digital Entrepreneurial University and Step 3) Synthesize the High Performance Organization framework. Phase 2: Develop the conceptual framework of High Performance Digital Entrepreneurial University. The research results as follows; 1. Results Synthesis of Digital Transformation Framework for High Performance Digital Entrepreneurial University, consisting of 1) Strategy, 2) Business Process, 3) Digital Technologies, 4) Organizational, 5) Culture, 6) Stakeholder, and 7) Employee. 2. Results Synthesis of the High Performance Organization framework in The criteria for ranking include 11 areas : 1) Academic reputation, 2) Employer attitude towards graduates, 3) Proportion of teachers/staff per student, 4) International research network, 5) Proportion of research that has been referenced, 6) Proportion of research published, 7) Personnel with Ph.D. qualifications, 8) Proportion of foreign teachers, 9) Proportion of foreign students, 10) Proportion of international students exchanged, and 11) Proportion of foreign students who exchange.
{"title":"Conceptual Framework for High Performance Digital Entrepreneurial University","authors":"Tippawan Meepung, Prachayanan Nilsook, P. Wannapiroon","doi":"10.1145/3485768.3485769","DOIUrl":"https://doi.org/10.1145/3485768.3485769","url":null,"abstract":"Digital transformation with university context to create a new performance for educational opportunities for Thais to access new knowledge without restrictions on time – location, digital transformation in the academic sector. It has partnered with all key stakeholders within the institution to make decisions about software and infrastructure and make decisions about changes, transitions, customizations, and upgrades that will drive the best long-term value. High Performance Organization is an organization of excellence. Everyone plays an important role in the drive forward, happening on a personal level. A group or department contributes to achieving the organization's goals. Have a pronounced ability to establish excellent standards of work. For superior competitiveness. The purpose of this research the content divided into two Phases: Phase 1: Synthesize the element of High Performance Digital Entrepreneurial University, Step1) Synthesis from documents, theories, and related research of Digital Transformation Framework, Step 2) Study element of Digital Transformation for High Performance Digital Entrepreneurial University and Step 3) Synthesize the High Performance Organization framework. Phase 2: Develop the conceptual framework of High Performance Digital Entrepreneurial University. The research results as follows; 1. Results Synthesis of Digital Transformation Framework for High Performance Digital Entrepreneurial University, consisting of 1) Strategy, 2) Business Process, 3) Digital Technologies, 4) Organizational, 5) Culture, 6) Stakeholder, and 7) Employee. 2. Results Synthesis of the High Performance Organization framework in The criteria for ranking include 11 areas : 1) Academic reputation, 2) Employer attitude towards graduates, 3) Proportion of teachers/staff per student, 4) International research network, 5) Proportion of research that has been referenced, 6) Proportion of research published, 7) Personnel with Ph.D. qualifications, 8) Proportion of foreign teachers, 9) Proportion of foreign students, 10) Proportion of international students exchanged, and 11) Proportion of foreign students who exchange.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131103832","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}
∗Special attention has been directed to the position of extracurricular activities (ECAs) in children and adolescent development, specifically the relationship between extracurricular activity participation (EAP) and their academic performance (AP); nevertheless, not much has evaluated it in higher education. This study aims to investigate this association by comparing 30 club participants’ EAP experience with 30 non-participants at a Vietnamese educational institution. Amixed-methods research design was employed with two data collection instruments: a questionnaire and a semi-structured interview. Statistical results from the questionnaire computed by SPSS software revealed no statistically significant differences between two groups in academic studies. In-depth interviews provided further true reasons for EAP indicators in the quantitative data (e.g., time on homework, lateness for school, skipping classes, and missing sessions) and showed that the main difference between the two groups lied in time spent on assignments. The integration of both data pinpointed that EAP made an impact on ECA participants, mainly on time spent on homework while no connections with other indicators were found.
{"title":"Extracurricular Activities on Students’ Academic Performance: The Good or the Bad?","authors":"Van T. T. Dang","doi":"10.1145/3485768.3485807","DOIUrl":"https://doi.org/10.1145/3485768.3485807","url":null,"abstract":"∗Special attention has been directed to the position of extracurricular activities (ECAs) in children and adolescent development, specifically the relationship between extracurricular activity participation (EAP) and their academic performance (AP); nevertheless, not much has evaluated it in higher education. This study aims to investigate this association by comparing 30 club participants’ EAP experience with 30 non-participants at a Vietnamese educational institution. Amixed-methods research design was employed with two data collection instruments: a questionnaire and a semi-structured interview. Statistical results from the questionnaire computed by SPSS software revealed no statistically significant differences between two groups in academic studies. In-depth interviews provided further true reasons for EAP indicators in the quantitative data (e.g., time on homework, lateness for school, skipping classes, and missing sessions) and showed that the main difference between the two groups lied in time spent on assignments. The integration of both data pinpointed that EAP made an impact on ECA participants, mainly on time spent on homework while no connections with other indicators were found.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122516169","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}
Nowadays, with the rapid development of the financial markets, financial derivatives have been taken more into researchers’ considerations, like Mehrdoust Farshid and Najafi Ali Reza (2017) have tried to find out a semi analytical formula[1]. Unfortunately, it is usually difficult to discover a steady continuous time model to calculate and predict the precise price of an European option. This paper summarizes the meaning of the trinomial tree pricing model, and based on this, from the two aspects of the call option and the put option, obtains the pricing method in line with the characteristics of European options by mathematical deduction. By means of calculating the expectation of certain option to predict a more general conclusion. At last, several potential no-arbitrage prices in different conditions are given in this work, and the deduction formulas of related variables are shown in the conclusions. All options mentioned in this article are options of stocks.
如今，随着金融市场的快速发展，金融衍生品已经被更多的研究者所考虑，如Mehrdoust Farshid和Najafi Ali Reza(2017)试图找到一个半解析公式b[1]。不幸的是，通常很难找到一个稳定的连续时间模型来计算和预测欧式期权的精确价格。本文总结了三叉树定价模型的意义，并在此基础上，从看涨期权和看跌期权两个方面，通过数学推导得出符合欧式期权特点的定价方法。通过计算某一期权的期望来预测一个更一般的结论。最后，本文给出了不同条件下的几种潜在无套利价格，并在结论中给出了相关变量的推导公式。本文中提到的所有期权都是股票期权。
{"title":"No-arbitrage Pricing of European Options based on Trinomial Tree Model","authors":"Jiale Xiang","doi":"10.1145/3485768.3485813","DOIUrl":"https://doi.org/10.1145/3485768.3485813","url":null,"abstract":"Nowadays, with the rapid development of the financial markets, financial derivatives have been taken more into researchers’ considerations, like Mehrdoust Farshid and Najafi Ali Reza (2017) have tried to find out a semi analytical formula[1]. Unfortunately, it is usually difficult to discover a steady continuous time model to calculate and predict the precise price of an European option. This paper summarizes the meaning of the trinomial tree pricing model, and based on this, from the two aspects of the call option and the put option, obtains the pricing method in line with the characteristics of European options by mathematical deduction. By means of calculating the expectation of certain option to predict a more general conclusion. At last, several potential no-arbitrage prices in different conditions are given in this work, and the deduction formulas of related variables are shown in the conclusions. All options mentioned in this article are options of stocks.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115231830","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}
Myron Darrel L. Montefalcon, Jay Rhald Padilla, Ramon Llabanes Rodriguez
The Filipino deaf community continues to lag behind the fast-paced and technology-driven society in the Philippines. The use of Filipino Sign Language (FSL) has contributed to the improvement of communication of deaf people, however, the majority of the population in the Philippines do not understand FSL. This project utilized computer vision in obtaining the images and Convolutional Neural Network (CNN) ResNet architecture in building the automated FSL recognition model, with the goal of bridging the communication gap between the deaf community and the hearing majorities. In the experimentation, the dataset used are static images generated from a signer which gestured Filipino number signs which range from (0-9). Based on experimentation, the best-achieved performance is on fine-tuned ResNet-50 model which obtained a validation accuracy as high as 86.7% when the epoch value equals 15. For future work, real-time FSL recognition will be implemented and more data will be collected to enable recognition of Filipino alphabets, basic phrases, and common greetings.
{"title":"Filipino Sign Language Recognition using Deep Learning","authors":"Myron Darrel L. Montefalcon, Jay Rhald Padilla, Ramon Llabanes Rodriguez","doi":"10.1145/3485768.3485783","DOIUrl":"https://doi.org/10.1145/3485768.3485783","url":null,"abstract":"The Filipino deaf community continues to lag behind the fast-paced and technology-driven society in the Philippines. The use of Filipino Sign Language (FSL) has contributed to the improvement of communication of deaf people, however, the majority of the population in the Philippines do not understand FSL. This project utilized computer vision in obtaining the images and Convolutional Neural Network (CNN) ResNet architecture in building the automated FSL recognition model, with the goal of bridging the communication gap between the deaf community and the hearing majorities. In the experimentation, the dataset used are static images generated from a signer which gestured Filipino number signs which range from (0-9). Based on experimentation, the best-achieved performance is on fine-tuned ResNet-50 model which obtained a validation accuracy as high as 86.7% when the epoch value equals 15. For future work, real-time FSL recognition will be implemented and more data will be collected to enable recognition of Filipino alphabets, basic phrases, and common greetings.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126424174","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}
Content and language integrated learning that has burgeoned in European areas is regarded as an effective method of English teaching and foreign culture learning. With the increasing frequent cross-language and cultural communication, this method has attracted more and more attention around the world. Based on the research content and the origin characteristics and value of language learning methods, this study presents the basic operation mode of such a teaching approach, analyzes the challenges of its application in Chinese regions, and puts forward countermeasures to solve the problems. This research believes that the key to implementing integrated learning of teaching content and language in the Chinese language area is the need to effectively improve learners’ English communicative competence in the field of professional knowledge, which aims to achieve a state of free input and output between the native language and English. It is found that the teaching model of content and language integrated learning is still a relatively new concept for Chinese language-speaking areas. Therefore, this study put forwards that the development of teacher pre-service training, teaching material design, and teaching curriculum design challenges are still the main factors restricting the development of this teaching model. This research suggests that it is an effective way for subject teachers to actively interact with students through curriculum design, create opportunities for them to think and express independently, and further guide learners to explore their ability of self-cognition and knowledge digestion and absorption. The teaching approach of integrating content and language learning is of great significance to promote students' foreign language learning and understanding of foreign cultures in Chinese language areas.
{"title":"Strategic Research on the Teaching Application of Content and Language Integrated Learning Methods in the Chinese Language Region","authors":"Hui-qing Bai","doi":"10.1145/3485768.3485797","DOIUrl":"https://doi.org/10.1145/3485768.3485797","url":null,"abstract":"Content and language integrated learning that has burgeoned in European areas is regarded as an effective method of English teaching and foreign culture learning. With the increasing frequent cross-language and cultural communication, this method has attracted more and more attention around the world. Based on the research content and the origin characteristics and value of language learning methods, this study presents the basic operation mode of such a teaching approach, analyzes the challenges of its application in Chinese regions, and puts forward countermeasures to solve the problems. This research believes that the key to implementing integrated learning of teaching content and language in the Chinese language area is the need to effectively improve learners’ English communicative competence in the field of professional knowledge, which aims to achieve a state of free input and output between the native language and English. It is found that the teaching model of content and language integrated learning is still a relatively new concept for Chinese language-speaking areas. Therefore, this study put forwards that the development of teacher pre-service training, teaching material design, and teaching curriculum design challenges are still the main factors restricting the development of this teaching model. This research suggests that it is an effective way for subject teachers to actively interact with students through curriculum design, create opportunities for them to think and express independently, and further guide learners to explore their ability of self-cognition and knowledge digestion and absorption. The teaching approach of integrating content and language learning is of great significance to promote students' foreign language learning and understanding of foreign cultures in Chinese language areas.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114158599","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}
For health professionals such as pharmacists, we have teaching experience since opening the master's degree. A course, namely “Computer Systems and Principles of Programming for Pharmaceutical and Health Informatics” in Master Degree of Pharmacy (Health Informatics), was redesigned to improve learning outcomes. The programming module was set in the second part of the course after a midterm examination with the classical course structure. Therefore, there was no time left to assign an advanced project to students. When the programming module shifted to the upper part, students could spend self-study time of the lower module to create more advanced applications in pharmacy and health. Digital problem-based learning (DPBL) was applied to support students and instructors to communicate and collaborate their work in the real production environment. The course structure was redesigned in the 2020 academic year which the COVID-19 situation has interrupted the real face-to-face learning. Therefore, the full DPBL was used. In addition, a set of tools were introduced to students for working in the fully DPBL. After the course was finished, an evaluation of the applications from students was done by three instructors. Students could deliver more advanced web applications from DPBL than those from the simple assignments in the classical course structure. Furthermore, the redesigned course structure and DPBL were evaluated by students. The results suggested that the redesigned course structure and DPBL were used, and skills in programming languages were increased.
{"title":"Redesigning the Structure of a Health Informatics Course to Support Digital Problem-based Learning in Programming Languages","authors":"P. Pamonsinlapatham","doi":"10.1145/3485768.3485795","DOIUrl":"https://doi.org/10.1145/3485768.3485795","url":null,"abstract":"For health professionals such as pharmacists, we have teaching experience since opening the master's degree. A course, namely “Computer Systems and Principles of Programming for Pharmaceutical and Health Informatics” in Master Degree of Pharmacy (Health Informatics), was redesigned to improve learning outcomes. The programming module was set in the second part of the course after a midterm examination with the classical course structure. Therefore, there was no time left to assign an advanced project to students. When the programming module shifted to the upper part, students could spend self-study time of the lower module to create more advanced applications in pharmacy and health. Digital problem-based learning (DPBL) was applied to support students and instructors to communicate and collaborate their work in the real production environment. The course structure was redesigned in the 2020 academic year which the COVID-19 situation has interrupted the real face-to-face learning. Therefore, the full DPBL was used. In addition, a set of tools were introduced to students for working in the fully DPBL. After the course was finished, an evaluation of the applications from students was done by three instructors. Students could deliver more advanced web applications from DPBL than those from the simple assignments in the classical course structure. Furthermore, the redesigned course structure and DPBL were evaluated by students. The results suggested that the redesigned course structure and DPBL were used, and skills in programming languages were increased.","PeriodicalId":328771,"journal":{"name":"2021 5th International Conference on E-Society, E-Education and E-Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121118130","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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