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/ICIET55102.2022.9778948
C. H. Karjo, W. Andreani, Agnes Herawati, Y. Ying, Andi Putri Yasyfin, Krystl Marie
During the current COVID-19 pandemic, e-learning was the only option for continuing education at various levels. As a result, all education stakeholders should turn to online or virtual learning notwithstanding their different readiness levels. This study examines the technological challenges that lecturers confront when teaching e-learning at the university and the working strategies used in e-learning classrooms. The data were gathered through an online poll of 100 university lecturers at a private university in West Jakarta. The responses were then evaluated numerically and qualitatively to determine the respondents' perceptions of the difficulty of virtual learning activities. The findings show that the technical issues faced by lecturers can be separated into three categories: connectivity, teaching technology and inter activity. To increase efficiency, they require better internet connection, boosting engagement with certain technologies, as well as technical and pedagogical training.
{"title":"Technological Challenges and Strategies in Implementing e- Learning in Higher Education","authors":"C. H. Karjo, W. Andreani, Agnes Herawati, Y. Ying, Andi Putri Yasyfin, Krystl Marie","doi":"10.1109/ICIET55102.2022.9778948","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778948","url":null,"abstract":"During the current COVID-19 pandemic, e-learning was the only option for continuing education at various levels. As a result, all education stakeholders should turn to online or virtual learning notwithstanding their different readiness levels. This study examines the technological challenges that lecturers confront when teaching e-learning at the university and the working strategies used in e-learning classrooms. The data were gathered through an online poll of 100 university lecturers at a private university in West Jakarta. The responses were then evaluated numerically and qualitatively to determine the respondents' perceptions of the difficulty of virtual learning activities. The findings show that the technical issues faced by lecturers can be separated into three categories: connectivity, teaching technology and inter activity. To increase efficiency, they require better internet connection, boosting engagement with certain technologies, as well as technical and pedagogical training.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"22 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":"115135877","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/ICIET55102.2022.9779037
Puji Catur Siswipraptini, H. Warnars, Arief Ramadhan, W. Budiharto
Career Recommendation System (CRS) is an artificial intelligence solution capable of suggesting appropriate jobs or careers based on user profiles and industry needs. This study presents a systematic literature review that focused on variant characteristics of CRS and has been implemented in the last ten years. The review found 17 studies were extracted from ACM, IEEExplore, Science Direct, Springer, Willey, and MDPI databases. The results of this review prove that a hybrid recommender system is the most frequently (47%) approach implemented in CRS studies. Text mining (29,5%) is most commonly applied as the artificial intelligence technique in CRS. At least 7 features are needed to build a CRS model, but the most widely used are job profiles and course profiles with 71,42% and 35,71% frequency respectively. The most widely applied evaluation metrics is precision (21%), followed by acceptability, accuracy, and user response each 14% in review.
{"title":"Trends and Characteristics of Career Recommendation Systems for Fresh Graduated Students","authors":"Puji Catur Siswipraptini, H. Warnars, Arief Ramadhan, W. Budiharto","doi":"10.1109/ICIET55102.2022.9779037","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779037","url":null,"abstract":"Career Recommendation System (CRS) is an artificial intelligence solution capable of suggesting appropriate jobs or careers based on user profiles and industry needs. This study presents a systematic literature review that focused on variant characteristics of CRS and has been implemented in the last ten years. The review found 17 studies were extracted from ACM, IEEExplore, Science Direct, Springer, Willey, and MDPI databases. The results of this review prove that a hybrid recommender system is the most frequently (47%) approach implemented in CRS studies. Text mining (29,5%) is most commonly applied as the artificial intelligence technique in CRS. At least 7 features are needed to build a CRS model, but the most widely used are job profiles and course profiles with 71,42% and 35,71% frequency respectively. The most widely applied evaluation metrics is precision (21%), followed by acceptability, accuracy, and user response each 14% in review.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"40 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":"123717781","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/ICIET55102.2022.9779005
Yoshiko Furusho, K. Kotani
Still-life pencil drawing is a basic element of art education. It is considered an important step for acquiring the basic skills required for drawing. To improve the skills of beginners, it is desirable to repeat the process of drawing and evaluation. This study describes a linear regression evaluation model for still-life pencil drawing in art education. We focus on evaluation items such as the shape and color of motifs in still-life pencil drawings and construct a linear regression evaluation model that can approximate these subjective evaluation values. Our objective is to confirm that the proposed model can approximate the subjective evaluation results.
{"title":"A Linear Regression Evaluation Model for Still-Life Pencil Drawing in Art Education","authors":"Yoshiko Furusho, K. Kotani","doi":"10.1109/ICIET55102.2022.9779005","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779005","url":null,"abstract":"Still-life pencil drawing is a basic element of art education. It is considered an important step for acquiring the basic skills required for drawing. To improve the skills of beginners, it is desirable to repeat the process of drawing and evaluation. This study describes a linear regression evaluation model for still-life pencil drawing in art education. We focus on evaluation items such as the shape and color of motifs in still-life pencil drawings and construct a linear regression evaluation model that can approximate these subjective evaluation values. Our objective is to confirm that the proposed model can approximate the subjective evaluation results.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"19 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":"123754660","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：