Pub Date : 2022-04-09DOI: 10.1109/ICIET55102.2022.9778979
Chong-Yang Yang, Weiyi Ren, Fati Wu
The autonomy and openness of MOOC provide a lifelong learning channel for many learners. As an asynchronous interactive community, the discussion forum has accumulated a large amount of behaviors and text dataset, which can reflect learners' academic information. Learning preferences and learning demands are very important. They are not only the starting point of instructional design, but also the basis for teachers and managers to design intervention schemes and optimize teaching. However, the current diagnosis methods have the disadvantages of high data acquisition cost and long sampling period, and cannot give timely and accurate feedback to the diverse preferences and demands of different learning groups. Therefore, this paper presents a new method, which is based on the TEAM model and combined with the data characteristics with content and behavior in the MOOC discussion forum, we calculate learners' topic attention and diagnose the preferences and demands of learning groups with or without certificates accurately. The results show that in the whole teaching cycle, all learners' knowledge demands and preference appear concomitantly, and the learner groups with certificates show a strong willingness to task-based demands and preferences.
{"title":"Diagnose Topic Attention: What are the Preference and Demand with Different Learner Groups in MOOCs Discussion Forums","authors":"Chong-Yang Yang, Weiyi Ren, Fati Wu","doi":"10.1109/ICIET55102.2022.9778979","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778979","url":null,"abstract":"The autonomy and openness of MOOC provide a lifelong learning channel for many learners. As an asynchronous interactive community, the discussion forum has accumulated a large amount of behaviors and text dataset, which can reflect learners' academic information. Learning preferences and learning demands are very important. They are not only the starting point of instructional design, but also the basis for teachers and managers to design intervention schemes and optimize teaching. However, the current diagnosis methods have the disadvantages of high data acquisition cost and long sampling period, and cannot give timely and accurate feedback to the diverse preferences and demands of different learning groups. Therefore, this paper presents a new method, which is based on the TEAM model and combined with the data characteristics with content and behavior in the MOOC discussion forum, we calculate learners' topic attention and diagnose the preferences and demands of learning groups with or without certificates accurately. The results show that in the whole teaching cycle, all learners' knowledge demands and preference appear concomitantly, and the learner groups with certificates show a strong willingness to task-based demands and preferences.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128546888","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779009
Li Ni, Jing Shi, Bo Han, Ni Zhang, Qiumei Lan, Zhihao Su
The students in universities are relatively free and have a rich after-school life in this time, so the absenteeism rate is getting higher and higher, which brings new challenges and opportunities to college classroom teaching. How to use the latest artificial intelligence technology, talk about the application of face detection technology to the classroom, you can quickly and accurately count the attendance status of each student. This article first analyzes the advantages and disadvantages of the new naming methods in university classrooms, and then designs and implements a classroom naming system based on face detection technology. Face detection technology is based on the latest deep learning algorithm Faster-R-CNN, which can quickly and accurately detect face targets. Besides, the system also needs simple Internet of Things technology, which uses a camera as a sensor to transfer real-time photos of the classroom to the system. This system aims to reduce the time taken for roll call, increase university classroom attendance, and improve university classroom teaching effects. The practice has shown that this roll call system increases the university classroom attendance rate by 15.3%, the accuracy rate is comparable to other best roll call systems, and the time spent is reduced by more than 10 times.
{"title":"Classroom Roll Call System Based on Face Detection Technology","authors":"Li Ni, Jing Shi, Bo Han, Ni Zhang, Qiumei Lan, Zhihao Su","doi":"10.1109/ICIET55102.2022.9779009","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779009","url":null,"abstract":"The students in universities are relatively free and have a rich after-school life in this time, so the absenteeism rate is getting higher and higher, which brings new challenges and opportunities to college classroom teaching. How to use the latest artificial intelligence technology, talk about the application of face detection technology to the classroom, you can quickly and accurately count the attendance status of each student. This article first analyzes the advantages and disadvantages of the new naming methods in university classrooms, and then designs and implements a classroom naming system based on face detection technology. Face detection technology is based on the latest deep learning algorithm Faster-R-CNN, which can quickly and accurately detect face targets. Besides, the system also needs simple Internet of Things technology, which uses a camera as a sensor to transfer real-time photos of the classroom to the system. This system aims to reduce the time taken for roll call, increase university classroom attendance, and improve university classroom teaching effects. The practice has shown that this roll call system increases the university classroom attendance rate by 15.3%, the accuracy rate is comparable to other best roll call systems, and the time spent is reduced by more than 10 times.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128808949","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9778992
Ming-Hsiu Liu, Ying Zhu, Li Li, Zhaofang Zhang
With the increasing demand for big data talents, the number of students studying big data continues to increasing resulted in the continuous increasing numbers of students in big data majors. In the case of limited teaching resources, large class teaching is common, and there are some concerns in the teaching process: How to carry out personalized tutoring in a large class? This teaching reform project by introduced “Rain Classroom” technology, Network Teaching Platform, Virtual Online Experiment Platform, and Online Test System to “four-in-one” driving the whole teaching process, they provided some solutions for the personalized tutoring to each student, through the teaching reform measures above, teachers can understand the learning status of each student in the whole teaching process, so achieved the purpose of personalized teaching.
{"title":"The Big Data Course Research and Practice of “Four-in-One” Driven Personalized Tutoring in Large Class Teaching","authors":"Ming-Hsiu Liu, Ying Zhu, Li Li, Zhaofang Zhang","doi":"10.1109/ICIET55102.2022.9778992","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778992","url":null,"abstract":"With the increasing demand for big data talents, the number of students studying big data continues to increasing resulted in the continuous increasing numbers of students in big data majors. In the case of limited teaching resources, large class teaching is common, and there are some concerns in the teaching process: How to carry out personalized tutoring in a large class? This teaching reform project by introduced “Rain Classroom” technology, Network Teaching Platform, Virtual Online Experiment Platform, and Online Test System to “four-in-one” driving the whole teaching process, they provided some solutions for the personalized tutoring to each student, through the teaching reform measures above, teachers can understand the learning status of each student in the whole teaching process, so achieved the purpose of personalized teaching.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121384582","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779024
G. Valerio-Ureña, Lucía Rodríguez-Aceves, Dagoberto José Herrera Murillo, Maricarmen Rodríguez-Martínez
Being a social space, behaviors studied by Social Psychology seem to be present on online social networks. The purpose of this study was to explore the extent to which social exchange theory is present in university students through online social networks. An exploratory study of quantitative nature, where the research subjects were 135 university students (27 as emitters and 108 as receivers), is presented. The study measured the tendency to reciprocate the signs of interest shown by comments and likes. It was found that almost 73% of those who received attention instances (via comments and likes) then showed mutual interest to their peers. Also, while statistical tests found no significant difference concerning gender, it was found that, in general, women were more likely to respond reciprocally to the attention received. While the study was only exploratory, results show that the classic trend to reciprocate the attentions of others also occurs in social networks online.
{"title":"Reciprocity of College Students over Online Social Networks","authors":"G. Valerio-Ureña, Lucía Rodríguez-Aceves, Dagoberto José Herrera Murillo, Maricarmen Rodríguez-Martínez","doi":"10.1109/ICIET55102.2022.9779024","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779024","url":null,"abstract":"Being a social space, behaviors studied by Social Psychology seem to be present on online social networks. The purpose of this study was to explore the extent to which social exchange theory is present in university students through online social networks. An exploratory study of quantitative nature, where the research subjects were 135 university students (27 as emitters and 108 as receivers), is presented. The study measured the tendency to reciprocate the signs of interest shown by comments and likes. It was found that almost 73% of those who received attention instances (via comments and likes) then showed mutual interest to their peers. Also, while statistical tests found no significant difference concerning gender, it was found that, in general, women were more likely to respond reciprocally to the attention received. While the study was only exploratory, results show that the classic trend to reciprocate the attentions of others also occurs in social networks online.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125167124","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779045
M. Pigultong
This research aims to 1) Develop a Metaverse embedded in Learning Management System. 2) To compare the cognitive achievement between groups of students. 3) To study the cognitive effectiveness between groups of students. The population used in this research was 105 undergraduate students enrolled in green university courses in 2021. Every student can access the Internet on a mobile phone in Unequal ways. The researcher divided the population into three groups: 1) 32 students had access to LMS via wi-fi, 2) 30 students had access to LMS via hi-speed 4G mobile internet. 3) 43 students had access to LMS slower than 4G mobile internet. The statistics used in this research were 1) One-way ANOVA 2) Effectiveness index. The results showed that the cognitive score before and after learning via a Metaverse embedded on Learning Management System of the three unequal accessed learning resources groups was significantly different at the level of. 05 $(mathbf{p=.000)}$. When considered between groups, the group of students accessing the Internet via a wi-fi network compared to students accessing the Internet via a slower than 4G mobile internet had a statistical difference at the. 05 level $(mathbf{p=.000)}$. While the group of students accessing the Internet via hi-speed 4G mobile internet and the group of students accessing the Internet via a slower than 4G mobile internet had a statistically significant difference at the. 05 level $(mathbf{p=.003)}$. In contrast, the students accessing the Internet via a wi-fi network and the students accessing the Internet via Hi-speed 4G mobile internet had no difference in cognitive test results $(mathbf{p=.213})$. The results of the Cognitive effectiveness study found that the group of students accessing via wi-fi networks had a 38.85 percent of cognitive increment. The students accessing the hi-speed 4G mobile internet had a 35.35 percent cognitive increment. And the group of students accessing via a slower than 4G mobile internet had a 9.78 percent cognitive increment.
{"title":"Cognitive Impacts of Using a Metaverse embedded on Learning Management System for Students with Unequal Access to Learning Resources","authors":"M. Pigultong","doi":"10.1109/ICIET55102.2022.9779045","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779045","url":null,"abstract":"This research aims to 1) Develop a Metaverse embedded in Learning Management System. 2) To compare the cognitive achievement between groups of students. 3) To study the cognitive effectiveness between groups of students. The population used in this research was 105 undergraduate students enrolled in green university courses in 2021. Every student can access the Internet on a mobile phone in Unequal ways. The researcher divided the population into three groups: 1) 32 students had access to LMS via wi-fi, 2) 30 students had access to LMS via hi-speed 4G mobile internet. 3) 43 students had access to LMS slower than 4G mobile internet. The statistics used in this research were 1) One-way ANOVA 2) Effectiveness index. The results showed that the cognitive score before and after learning via a Metaverse embedded on Learning Management System of the three unequal accessed learning resources groups was significantly different at the level of. 05 $(mathbf{p=.000)}$. When considered between groups, the group of students accessing the Internet via a wi-fi network compared to students accessing the Internet via a slower than 4G mobile internet had a statistical difference at the. 05 level $(mathbf{p=.000)}$. While the group of students accessing the Internet via hi-speed 4G mobile internet and the group of students accessing the Internet via a slower than 4G mobile internet had a statistically significant difference at the. 05 level $(mathbf{p=.003)}$. In contrast, the students accessing the Internet via a wi-fi network and the students accessing the Internet via Hi-speed 4G mobile internet had no difference in cognitive test results $(mathbf{p=.213})$. The results of the Cognitive effectiveness study found that the group of students accessing via wi-fi networks had a 38.85 percent of cognitive increment. The students accessing the hi-speed 4G mobile internet had a 35.35 percent cognitive increment. And the group of students accessing via a slower than 4G mobile internet had a 9.78 percent cognitive increment.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122715317","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779002
Sherri Weitl-Harms
This paper describes efforts and experiences from integrating a service-learning project into an upper-level/graduate-level database systems course that is taught both on-campus and online. Each student analyzes, designs, and implements a small database project for a self-selected client. The final product must match the client specification and needs and include the database design and the final working database system with embedded user documentation. The project design and implementation from a curricular perspective are also presented. Client evaluations were used to measure Computer Science (CS) student learning outcomes, which follow the five core ABET CS student outcomes. Client assessment of the 152 projects over the past seven years indicate that the clients agree or strongly agree that the students effectively met each of the objectives measured (91%-99%). Additionally, student reflections indicate that students gained confidence and felt pride in helping meet a community need by completing a computing for social good project.
{"title":"Database Service-learning Projects: Addressing Community Needs While Measuring and Meeting Computer Science Learning Outcomes","authors":"Sherri Weitl-Harms","doi":"10.1109/ICIET55102.2022.9779002","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779002","url":null,"abstract":"This paper describes efforts and experiences from integrating a service-learning project into an upper-level/graduate-level database systems course that is taught both on-campus and online. Each student analyzes, designs, and implements a small database project for a self-selected client. The final product must match the client specification and needs and include the database design and the final working database system with embedded user documentation. The project design and implementation from a curricular perspective are also presented. Client evaluations were used to measure Computer Science (CS) student learning outcomes, which follow the five core ABET CS student outcomes. Client assessment of the 152 projects over the past seven years indicate that the clients agree or strongly agree that the students effectively met each of the objectives measured (91%-99%). Additionally, student reflections indicate that students gained confidence and felt pride in helping meet a community need by completing a computing for social good project.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"572 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121767566","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}
In the world of ever-growing technology and multimedia devices, educators around the globe are innovating newer ways to engage students in a more immersive and enjoyable way. Games have had a proven effect on marketing, sales, healthcare, behavioral changes, K12 education, and have now increasingly gained momentum in higher education, especially engineering education, primarily to enhance learner engagement and motivation. This paper presents a work-in-progress towards developing serious games as supplemental material in teaching the course on Basic Electronics. Two story boards of game-based learning are presented in this paper along with the design strategy and target core motivational drives. The game development is under progress and student reception and feedback is yet to be incorporated.
{"title":"Game-based Learning for Engineering Education: Supplementing Basic Electronics Instruction with Educational Games","authors":"Kshitij Sanodariya, M. Shekhar, Atharva Pandey, Akanksha Raj, Aklovya Gupta, Pawandeep Suryavanshi, Rajlaxmi Chouhan","doi":"10.1109/ICIET55102.2022.9779011","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779011","url":null,"abstract":"In the world of ever-growing technology and multimedia devices, educators around the globe are innovating newer ways to engage students in a more immersive and enjoyable way. Games have had a proven effect on marketing, sales, healthcare, behavioral changes, K12 education, and have now increasingly gained momentum in higher education, especially engineering education, primarily to enhance learner engagement and motivation. This paper presents a work-in-progress towards developing serious games as supplemental material in teaching the course on Basic Electronics. Two story boards of game-based learning are presented in this paper along with the design strategy and target core motivational drives. The game development is under progress and student reception and feedback is yet to be incorporated.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133139448","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9778978
Wanting Zhang, Jin Zhao, ChengXin Kou
Under the influence of COVID-19, the adaptability and effectiveness of online education have become one of the hot issues concerned by today's society. “Internet plus” also provides an opportunity for China's philanthropy to integrate resources. This study selects 18 rural hope primary schools as the research objects to conduct questionnaire surveys and individual interviews around the online supporting education cases based on the urban-rural interactive classroom model. Compared with traditional supporting education, online supporting education in urban and rural interactive classrooms can simulate the real classroom environment and is especially suitable for teaching rural primary school students with weak self-learning ability. However, the actual online teaching effect is far lower than expected, mainly due to the following problems. For example, the course cannot be carried out normally because the teachers at rural hope primary schools are not familiar with the operation of the equipment. The teaching volunteer team is not professional and stable enough. The teaching effect cannot be tested in time. We suggest improving the training mechanism for teachers at rural hope primary schools, promoting the incentive mechanism of volunteers and seeking help from a third-party teaching assessment agency.
{"title":"Research on Online Supporting Education Based on the Model of Urban and Rural Interactive Classrooms","authors":"Wanting Zhang, Jin Zhao, ChengXin Kou","doi":"10.1109/ICIET55102.2022.9778978","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778978","url":null,"abstract":"Under the influence of COVID-19, the adaptability and effectiveness of online education have become one of the hot issues concerned by today's society. “Internet plus” also provides an opportunity for China's philanthropy to integrate resources. This study selects 18 rural hope primary schools as the research objects to conduct questionnaire surveys and individual interviews around the online supporting education cases based on the urban-rural interactive classroom model. Compared with traditional supporting education, online supporting education in urban and rural interactive classrooms can simulate the real classroom environment and is especially suitable for teaching rural primary school students with weak self-learning ability. However, the actual online teaching effect is far lower than expected, mainly due to the following problems. For example, the course cannot be carried out normally because the teachers at rural hope primary schools are not familiar with the operation of the equipment. The teaching volunteer team is not professional and stable enough. The teaching effect cannot be tested in time. We suggest improving the training mechanism for teachers at rural hope primary schools, promoting the incentive mechanism of volunteers and seeking help from a third-party teaching assessment agency.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129108994","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779015
Jingxiu Shi, Li Ni, Zhihao Su
English speaking is a very important skill of English ability for students. At the same time, English speaking learning needs a demanding environment. Because English teachers have heavy teaching tasks and limited time. This research developed an English-speaking teaching system with natural language processing technology based on artificial intelligence algorithms, which can solve this problem very well. The system engages the most advanced natural language processing technology based on artificial intelligence algorithms to correct and feedback students' oral problems in a timely, fast, and targeted manner, which is beneficial to improve students' speaking learning efficiency and interest. This system proposes an improved Bidirectional Encoder Representations from Transformers model, which is simply called BERT and based on Transformer's bidirectional encoding representation. The accuracy of this algorithm for spoken English recognition is significantly higher than other classical algorithms. This system has been tested and evaluated in some universities, and the learning efficiency and satisfaction of students is significantly higher than other oral English learning systems.
{"title":"English-Speaking Teaching System with Natural Language Processing Technology Based on Artificial Intelligence Algorithms","authors":"Jingxiu Shi, Li Ni, Zhihao Su","doi":"10.1109/ICIET55102.2022.9779015","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779015","url":null,"abstract":"English speaking is a very important skill of English ability for students. At the same time, English speaking learning needs a demanding environment. Because English teachers have heavy teaching tasks and limited time. This research developed an English-speaking teaching system with natural language processing technology based on artificial intelligence algorithms, which can solve this problem very well. The system engages the most advanced natural language processing technology based on artificial intelligence algorithms to correct and feedback students' oral problems in a timely, fast, and targeted manner, which is beneficial to improve students' speaking learning efficiency and interest. This system proposes an improved Bidirectional Encoder Representations from Transformers model, which is simply called BERT and based on Transformer's bidirectional encoding representation. The accuracy of this algorithm for spoken English recognition is significantly higher than other classical algorithms. This system has been tested and evaluated in some universities, and the learning efficiency and satisfaction of students is significantly higher than other oral English learning systems.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132301092","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779012
Mary Ann F. Quioc, Jona P. Tibay, Dennis L. Tacadena
The faculty is an important asset to guarantee that an academic institution operates as expected. Performance evaluation is an important tool used to assess faculty efficiency in the workplace. The study focuses on the comparison of three different decision support models identifying the suited model to be used in the proposed faculty performance evaluation framework. A local community college provided the historical data and documents to the researchers. The researcher selected three suitable decision support models and used Weka for data analysis. The results of preliminary data analysis examined shows that the identified faculty performance evaluation criterion includes 75% of the National Budget Circular (NBC) criteria; 15% IPCR and 10% College Involvement and Participation (CIP). The comparative analysis criteria used in analyzing the decision tree would be utilized as the model in the knowledge-based decision support system. With regards to build time, both Random Tree and REP Tree resulted in 0 seconds while M5P has 0.23 seconds. Build time would affect the model efficiency in terms of resources needed for execution. REP Tree has the highest size of tree produced in the model. Since all the decision tree models have positive coefficients, it indicates that when the value of one variable increases, the value of the other variable also tends to increase. The results of comparing the decision support models in this study had identified potential suitability of a model in faculty performance evaluation. Furthermore, policies in the locale could be based on the logical decision trees presented in this study.
教师是保证一个学术机构按预期运作的重要资产。绩效评估是评估教职员工工作效率的重要工具。本研究的重点是比较三种不同的决策支持模型，以确定在拟议的教师绩效评估框架中使用的合适模型。当地一所社区大学为研究人员提供了历史数据和文件。研究者选择了三种合适的决策支持模型，并使用Weka进行数据分析。初步数据分析的结果表明，确定的教师绩效评估标准包括75%的国家预算通告(NBC)标准;15% IPCR和10% College Involvement and Participation (CIP)。在基于知识的决策支持系统中，将采用分析决策树的比较分析准则作为模型。关于建造时间，随机树和REP树都是0秒，而M5P是0.23秒。就执行所需的资源而言，构建时间将影响模型效率。REP树是模型中生成的树的最大大小。由于所有的决策树模型都有正系数，这表明当一个变量的值增加时，另一个变量的值也趋于增加。本研究的结果比较了决策支持模型，确定了一个模型在教师绩效评估中的潜在适用性。此外，区域设置中的策略可以基于本研究中提出的逻辑决策树。
{"title":"Comparative Analysis of Decision Support Models for Faculty Performance Evaluation","authors":"Mary Ann F. Quioc, Jona P. Tibay, Dennis L. Tacadena","doi":"10.1109/ICIET55102.2022.9779012","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779012","url":null,"abstract":"The faculty is an important asset to guarantee that an academic institution operates as expected. Performance evaluation is an important tool used to assess faculty efficiency in the workplace. The study focuses on the comparison of three different decision support models identifying the suited model to be used in the proposed faculty performance evaluation framework. A local community college provided the historical data and documents to the researchers. The researcher selected three suitable decision support models and used Weka for data analysis. The results of preliminary data analysis examined shows that the identified faculty performance evaluation criterion includes 75% of the National Budget Circular (NBC) criteria; 15% IPCR and 10% College Involvement and Participation (CIP). The comparative analysis criteria used in analyzing the decision tree would be utilized as the model in the knowledge-based decision support system. With regards to build time, both Random Tree and REP Tree resulted in 0 seconds while M5P has 0.23 seconds. Build time would affect the model efficiency in terms of resources needed for execution. REP Tree has the highest size of tree produced in the model. Since all the decision tree models have positive coefficients, it indicates that when the value of one variable increases, the value of the other variable also tends to increase. The results of comparing the decision support models in this study had identified potential suitability of a model in faculty performance evaluation. Furthermore, policies in the locale could be based on the logical decision trees presented in this study.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116375315","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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