Pub Date : 2021-06-18DOI: 10.1109/ICET52293.2021.9563160
Zhao Chenyang
Recently, there is a global outbreak of COVID-19. As a result, many students had to choose distance education. In this situation, learning in a group is more difficult to realize. What's more, teamwork is a vital part of learning. Because it is beneficial for students to learn how to work together in the future. For example, if the major of students is software engineering, working in group is their daily working way. When they are students, mastering how to work in group is crucial to their careers. Consequently, it is more important to find methods to study in groups effectively now. The objective of this article is to find the effective means of group learning which can help students to improve their grade, especially in software engineering. In addition, this article will analyze the method according to the following aspects, the count of issue, the count of the commit, the responses of students, the help hours, the meeting hours, the personal meeting hours, the count of the team and the sex ratio in the team. Data visualization and Machine learning will be used to deal with the relevant data. The effective means will be found by analyzing these data and other references.
{"title":"Explore Ways to Study Effectively in Groups from Data Science","authors":"Zhao Chenyang","doi":"10.1109/ICET52293.2021.9563160","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563160","url":null,"abstract":"Recently, there is a global outbreak of COVID-19. As a result, many students had to choose distance education. In this situation, learning in a group is more difficult to realize. What's more, teamwork is a vital part of learning. Because it is beneficial for students to learn how to work together in the future. For example, if the major of students is software engineering, working in group is their daily working way. When they are students, mastering how to work in group is crucial to their careers. Consequently, it is more important to find methods to study in groups effectively now. The objective of this article is to find the effective means of group learning which can help students to improve their grade, especially in software engineering. In addition, this article will analyze the method according to the following aspects, the count of issue, the count of the commit, the responses of students, the help hours, the meeting hours, the personal meeting hours, the count of the team and the sex ratio in the team. Data visualization and Machine learning will be used to deal with the relevant data. The effective means will be found by analyzing these data and other references.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127062844","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563167
F. Miguel, M. Prudente, S. Aguja
The paradigm shift caused by COVID-19 in education calls for education contextualized at home. The Department of Education (DepEd) directs the educators to implement Blended Distance Learning (BDL) executed in both online and offline modalities. Such pedagogy extends to how the science laboratory experiments will be conducted. To attain the goal in developing scientific, technological, and environmental literate students, the integration of Home-Based Experiments (HBE) was considered the intervention in this study to create a science learning environment, enhance science attitude and involves parents. Three intact classes consisting of Grade 9 students were the respondents of the study. They were taught based on the required Most Essential Learning Competencies (MELC). The integration of activities using practical science at home were done on a step-by-step basis following the inquiry-based approach with the aid of a helpdesk. The study utilized adopted Biology Achievement Test (BAT) and face and content validated Science Learning Environment, Attitude and Parental Involvement Questionnaires to measure the intended objective of the study. Three intact classes of Research were taught based on the required Most Essential Learning Competencies and integration of activities using practical science at home on step-by-step basis in an inquiry-based approach with the aid of a helpdesk were done. The effectivity of the intervention in terms of the students' learning achievement, learning environment, science attitude, and parental involvement were analyzed. Data shows a significant difference in learning achievement in Biology, the inventory in learning environment showed high desirable interest and somewhat influential level of satisfaction in terms of science attitude. Students perceived the learning experience as a means to learn the concept and allow them to practice self-directed learning though a comprehensive direction stated in the Learning Activity Sheets (LAS). Students perceived the safety of HBE according to the standards of the conduct of the experiment and health protocols during COVID-19. The experience made them appreciate the opportunity to experience the conduct of experimentation however, the need of learning materials in the experiment itself was accorded as the most interesting factor to improve in the conduct in this study. The given observation was also recognized in the evaluation of parents in terms of their involvement followed by the clarification of concept ask by the students. The study further recommends validation of portable learning kit to be delivered at home coupled in Students Learning Modules (SLEMs) as next phase of the study.
{"title":"Enhancing Science Learning Environment, Attitude and Parental Involvement through Home Based Experiment (HBE)","authors":"F. Miguel, M. Prudente, S. Aguja","doi":"10.1109/ICET52293.2021.9563167","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563167","url":null,"abstract":"The paradigm shift caused by COVID-19 in education calls for education contextualized at home. The Department of Education (DepEd) directs the educators to implement Blended Distance Learning (BDL) executed in both online and offline modalities. Such pedagogy extends to how the science laboratory experiments will be conducted. To attain the goal in developing scientific, technological, and environmental literate students, the integration of Home-Based Experiments (HBE) was considered the intervention in this study to create a science learning environment, enhance science attitude and involves parents. Three intact classes consisting of Grade 9 students were the respondents of the study. They were taught based on the required Most Essential Learning Competencies (MELC). The integration of activities using practical science at home were done on a step-by-step basis following the inquiry-based approach with the aid of a helpdesk. The study utilized adopted Biology Achievement Test (BAT) and face and content validated Science Learning Environment, Attitude and Parental Involvement Questionnaires to measure the intended objective of the study. Three intact classes of Research were taught based on the required Most Essential Learning Competencies and integration of activities using practical science at home on step-by-step basis in an inquiry-based approach with the aid of a helpdesk were done. The effectivity of the intervention in terms of the students' learning achievement, learning environment, science attitude, and parental involvement were analyzed. Data shows a significant difference in learning achievement in Biology, the inventory in learning environment showed high desirable interest and somewhat influential level of satisfaction in terms of science attitude. Students perceived the learning experience as a means to learn the concept and allow them to practice self-directed learning though a comprehensive direction stated in the Learning Activity Sheets (LAS). Students perceived the safety of HBE according to the standards of the conduct of the experiment and health protocols during COVID-19. The experience made them appreciate the opportunity to experience the conduct of experimentation however, the need of learning materials in the experiment itself was accorded as the most interesting factor to improve in the conduct in this study. The given observation was also recognized in the evaluation of parents in terms of their involvement followed by the clarification of concept ask by the students. The study further recommends validation of portable learning kit to be delivered at home coupled in Students Learning Modules (SLEMs) as next phase of the study.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128744658","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563176
Lei Zhang, Yufei Qiao, Xue Wang
The present study examined the effects of danmaku emotion on video-based learning. Based on one-factorial experimental design, 61 participants were randomly assigned to watch instructional videos in one of three conditions: positive emotion danmaku, negative emotion danmaku, and no danmaku. A Tobii X120 eye-tracker, an emWave system, and a CUBand brainwave tracker were used to record the learners' eye movements, emotional state, and brainwave activities. The learners' learning outcomes were measured with retention and transfer tests. The results indicated that danmaku emotion neither promoted nor hindered learners' learning outcomes; positive emotion danmaku evoked learner's positive emotion and relaxation; the learner's attention was captured by danmaku. The study shows it would be useful to incorporate danmaku emotion on instructional video to induce learners' positive emotions during learning.
{"title":"Study on the Effects of Danmaku Emotion on Video-based Learning","authors":"Lei Zhang, Yufei Qiao, Xue Wang","doi":"10.1109/ICET52293.2021.9563176","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563176","url":null,"abstract":"The present study examined the effects of danmaku emotion on video-based learning. Based on one-factorial experimental design, 61 participants were randomly assigned to watch instructional videos in one of three conditions: positive emotion danmaku, negative emotion danmaku, and no danmaku. A Tobii X120 eye-tracker, an emWave system, and a CUBand brainwave tracker were used to record the learners' eye movements, emotional state, and brainwave activities. The learners' learning outcomes were measured with retention and transfer tests. The results indicated that danmaku emotion neither promoted nor hindered learners' learning outcomes; positive emotion danmaku evoked learner's positive emotion and relaxation; the learner's attention was captured by danmaku. The study shows it would be useful to incorporate danmaku emotion on instructional video to induce learners' positive emotions during learning.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128965590","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563156
Liliya Kovtun, N. Zenenko, E. Lapteva
The paper presents the results of the research aimed at evaluating the effects of using branching scenario in the online learning course of Russian as a foreign language. The course was designed according to the distribution of the learners according to their learning styles and preferences. The aim of the research was to show how the structure of the course can be tailored around the individual learning styles. The paper gives a brief explanation of how learning styles and adaptive learning are defined in modern educational environment. The terms “learning styles” and “adaptive learning” are not new in the pedagogical research, but they have become popular recently with the emergence of distance learning. 178 students from different countries were interviewed using VARK questionnaire to get information about their learning preferences and cognitive characteristics. On the bases of the received data the e-learning Russian course was designed with adaptive content, sequencing and assessment. The survey of students' satisfaction after the study showed that adaptive learning is beneficial for training language skills and can be widely used in the situation when the students and teachers can communicate only through electronic media.
{"title":"Effects of Students Learning Styles on Adaptive e-Learning Design","authors":"Liliya Kovtun, N. Zenenko, E. Lapteva","doi":"10.1109/ICET52293.2021.9563156","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563156","url":null,"abstract":"The paper presents the results of the research aimed at evaluating the effects of using branching scenario in the online learning course of Russian as a foreign language. The course was designed according to the distribution of the learners according to their learning styles and preferences. The aim of the research was to show how the structure of the course can be tailored around the individual learning styles. The paper gives a brief explanation of how learning styles and adaptive learning are defined in modern educational environment. The terms “learning styles” and “adaptive learning” are not new in the pedagogical research, but they have become popular recently with the emergence of distance learning. 178 students from different countries were interviewed using VARK questionnaire to get information about their learning preferences and cognitive characteristics. On the bases of the received data the e-learning Russian course was designed with adaptive content, sequencing and assessment. The survey of students' satisfaction after the study showed that adaptive learning is beneficial for training language skills and can be widely used in the situation when the students and teachers can communicate only through electronic media.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130381478","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563154
Jinhui Xu, Kailing Luo, Hongmin Chen, Yu Lu
The key and core of online teaching is active and effective interaction. How to more effectively explore the degree and quality of online learners' interaction has become the focus of educators' attention. This paper took the interactive data of forum text of Advanced Mathematics (I), a national superior course, as the research object. And based on Bloom's Taxonomy of Educational Objectives to explore the degree and quality of interaction of forum texts integrated into the language characteristics of mathematics. The study adopted social network analysis and content analysis, and got two conclusions: a) the learners of the course have a good degree of online interaction, b) the quality of the course's online interaction is unevenly developed, and there is a lack of interaction at a higher target level.
{"title":"Analysis of the Interaction Quality of MOOC Based on Bloom's Taxonomy of Educational Objectives","authors":"Jinhui Xu, Kailing Luo, Hongmin Chen, Yu Lu","doi":"10.1109/ICET52293.2021.9563154","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563154","url":null,"abstract":"The key and core of online teaching is active and effective interaction. How to more effectively explore the degree and quality of online learners' interaction has become the focus of educators' attention. This paper took the interactive data of forum text of Advanced Mathematics (I), a national superior course, as the research object. And based on Bloom's Taxonomy of Educational Objectives to explore the degree and quality of interaction of forum texts integrated into the language characteristics of mathematics. The study adopted social network analysis and content analysis, and got two conclusions: a) the learners of the course have a good degree of online interaction, b) the quality of the course's online interaction is unevenly developed, and there is a lack of interaction at a higher target level.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127668613","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563141
Xijin Sun, Xiwen Zhang
There are many irregular component problems in digital ink Chinese characters handwritten by junior international students. The irregular component spacing is one of them. It is necessary to compute the irregularity based on reference characters. This paper presents one quantitative computing approach based on the database of reference Chinese characters' component spacing. The database provides heuristic information for component extraction of digital ink Chinese characters, rule selection for component spacing calculation, and reference data for computing irregularity. Digital ink is used to collect handwritten Chinese characters because of its natural writing and rich information. The automatic extraction of digital ink Chinese character components is realized by reading the heuristic information from the database, and the interactive correction is also provided. Taking the components as a whole, the boundary distances between each component are calculated. Based on the information of reference Chinese character component spacing, the difference and ratio of the component spacing between digital ink characters and reference ones are calculated. This not only provides correction data, but also indicates the severity of the irregularity. The experimental data includes six categories of Chinese character structures, and each structure includes six examples. The calculation results can be used for statistical analysis and rule discovery, which provides data support for the study of Chinese character acquisition.
{"title":"Computing Irregular Component Spacing of Digital Ink Chinese Characters Handwritten by Junior International Students","authors":"Xijin Sun, Xiwen Zhang","doi":"10.1109/ICET52293.2021.9563141","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563141","url":null,"abstract":"There are many irregular component problems in digital ink Chinese characters handwritten by junior international students. The irregular component spacing is one of them. It is necessary to compute the irregularity based on reference characters. This paper presents one quantitative computing approach based on the database of reference Chinese characters' component spacing. The database provides heuristic information for component extraction of digital ink Chinese characters, rule selection for component spacing calculation, and reference data for computing irregularity. Digital ink is used to collect handwritten Chinese characters because of its natural writing and rich information. The automatic extraction of digital ink Chinese character components is realized by reading the heuristic information from the database, and the interactive correction is also provided. Taking the components as a whole, the boundary distances between each component are calculated. Based on the information of reference Chinese character component spacing, the difference and ratio of the component spacing between digital ink characters and reference ones are calculated. This not only provides correction data, but also indicates the severity of the irregularity. The experimental data includes six categories of Chinese character structures, and each structure includes six examples. The calculation results can be used for statistical analysis and rule discovery, which provides data support for the study of Chinese character acquisition.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124196272","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563175
Yuxin Chen, Jin Feng
Nowadays, the new generation of information technology can provide excellent support for the practical training in a higher vocational architectural major. The main research methods in training rooms' development are analyzed, and then the problems encountered in the current building training are discussed in detail. In order to solve these problems, technologies such as cloud computing, knowledge graph, teaching resource library, artificial intelligence and others are proposed to design an intelligent management framework suitable for a vocational building training center. This framework can support both online virtual training and training on site. A test has proven that the implementation of this framework can effectively meet the training needs of the building training with high scalability and intelligence.
{"title":"Intelligent Management of Higher Vocational Building Training Based on the New Generation of Information Technology","authors":"Yuxin Chen, Jin Feng","doi":"10.1109/ICET52293.2021.9563175","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563175","url":null,"abstract":"Nowadays, the new generation of information technology can provide excellent support for the practical training in a higher vocational architectural major. The main research methods in training rooms' development are analyzed, and then the problems encountered in the current building training are discussed in detail. In order to solve these problems, technologies such as cloud computing, knowledge graph, teaching resource library, artificial intelligence and others are proposed to design an intelligent management framework suitable for a vocational building training center. This framework can support both online virtual training and training on site. A test has proven that the implementation of this framework can effectively meet the training needs of the building training with high scalability and intelligence.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"134 23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114536170","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563148
Yongmei Zhang, Zhirong Du, Qian Guo
The existing evaluation method indicators are not specific and the index weights are highly subjective. This paper selects the evaluation indicators to estimate the practical innovation ability of graduate students and undergraduates, and proposes an evaluation algorithm on the basis of deep belief network (DBN), and an improved algorithm based on practical innovation ability model of graduate students. Since the evaluation indicators and data distribution of undergraduate students are very similar to those of graduate students, the improved algorithm adopts the parameter based transfer learning method. The weight of the same characteristics of undergraduates and graduate students is directly multiplied by the difference factor as the initial weight of the undergraduate fine-tuning. The weight of disparate characteristics for undergraduates and graduates needs to be fine-tuned and re-trained. Experiment results show the improved algorithm has wider application ranges and higher accuracy rate, overcomes the problem of strong subjectivity about index weights, and it is beneficial to promote reform of talent training and the overall improvement of talent training quality. The comprehensive evaluation algorithms on the basis of fuzzy mathematics, the evaluation algorithms of probabilistic neural networks, the general deep learning evaluation algorithms, and the presented algorithm are compared to verify the effectiveness of the proposed evaluation algorithm.
{"title":"An Intelligent Evaluation Algorithm of Practical Innovation Ability for Students","authors":"Yongmei Zhang, Zhirong Du, Qian Guo","doi":"10.1109/ICET52293.2021.9563148","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563148","url":null,"abstract":"The existing evaluation method indicators are not specific and the index weights are highly subjective. This paper selects the evaluation indicators to estimate the practical innovation ability of graduate students and undergraduates, and proposes an evaluation algorithm on the basis of deep belief network (DBN), and an improved algorithm based on practical innovation ability model of graduate students. Since the evaluation indicators and data distribution of undergraduate students are very similar to those of graduate students, the improved algorithm adopts the parameter based transfer learning method. The weight of the same characteristics of undergraduates and graduate students is directly multiplied by the difference factor as the initial weight of the undergraduate fine-tuning. The weight of disparate characteristics for undergraduates and graduates needs to be fine-tuned and re-trained. Experiment results show the improved algorithm has wider application ranges and higher accuracy rate, overcomes the problem of strong subjectivity about index weights, and it is beneficial to promote reform of talent training and the overall improvement of talent training quality. The comprehensive evaluation algorithms on the basis of fuzzy mathematics, the evaluation algorithms of probabilistic neural networks, the general deep learning evaluation algorithms, and the presented algorithm are compared to verify the effectiveness of the proposed evaluation algorithm.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134167477","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563164
Jian Xu, Yabo Luo
Eye machine ranging technology plays an important role in safety monitoring, assistant driving and prevention of myopia. However, there are some problems of accuracy and real-time in eye machine ranging. To solve this problem, this paper adopts the technical idea of “face detection-eye recognition-spatial positioning”, from coarse to fine, and constructs an adaptive vision protection desk system based on machine vision. Firstly, the improved census transform edge matching algorithm is used to obtain the edge depth map, intercept the human contour, and separate the head and shoulder to get the face area; Then, the designed eye detector is used to detect the human eyes, and the disparity is obtained by matching the corresponding human eyes on the right side; Finally, the vertical distance between the human eyes and the desktop is obtained through the optimized disparity calculation formula combined with the height calculation equation. Through many experiments, the remarkable effect of this method to improve the accuracy and real-time of man-machine ranging is verified.
{"title":"Research on Eyesight Protection-Oriented Teaching Aids Using Machine Vision Technology","authors":"Jian Xu, Yabo Luo","doi":"10.1109/ICET52293.2021.9563164","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563164","url":null,"abstract":"Eye machine ranging technology plays an important role in safety monitoring, assistant driving and prevention of myopia. However, there are some problems of accuracy and real-time in eye machine ranging. To solve this problem, this paper adopts the technical idea of “face detection-eye recognition-spatial positioning”, from coarse to fine, and constructs an adaptive vision protection desk system based on machine vision. Firstly, the improved census transform edge matching algorithm is used to obtain the edge depth map, intercept the human contour, and separate the head and shoulder to get the face area; Then, the designed eye detector is used to detect the human eyes, and the disparity is obtained by matching the corresponding human eyes on the right side; Finally, the vertical distance between the human eyes and the desktop is obtained through the optimized disparity calculation formula combined with the height calculation equation. Through many experiments, the remarkable effect of this method to improve the accuracy and real-time of man-machine ranging is verified.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134515340","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 : 2021-06-18DOI: 10.1109/ICET52293.2021.9563155
Iara Margolis, B. Providência
The higher education market is experiencing a duality between meeting financial and academic goals. In both perspectives, the search for student/consumer satisfaction is a reality. The methods for measuring student satisfaction, in the Brazilian scenario, are mostly based on marketing metrics, without a real understanding of the students' feelings and perceptions. Given this scenario, the question is whether there is a divergence in perception between the student and the former student and if there is any viable technique capable of measuring these issues. In a quantitative survey, with 256 students, 81 former students, and 47 professors, an adaptation of the SAM (Self-Assessment Manikin) scale was carried out, with reason-emotion humanoids and academic stimuli. The main result is that the SAM is a viable, fast and effective model. It addresses institutional technical issues from a personal perspective. Furthermore, the divergence of perception between the former students and the current students was found.
{"title":"Student Satisfaction through an Adaptation of the SAM Method—An Analysis from Consumption to Post-Consumption in Higher Education Degrees","authors":"Iara Margolis, B. Providência","doi":"10.1109/ICET52293.2021.9563155","DOIUrl":"https://doi.org/10.1109/ICET52293.2021.9563155","url":null,"abstract":"The higher education market is experiencing a duality between meeting financial and academic goals. In both perspectives, the search for student/consumer satisfaction is a reality. The methods for measuring student satisfaction, in the Brazilian scenario, are mostly based on marketing metrics, without a real understanding of the students' feelings and perceptions. Given this scenario, the question is whether there is a divergence in perception between the student and the former student and if there is any viable technique capable of measuring these issues. In a quantitative survey, with 256 students, 81 former students, and 47 professors, an adaptation of the SAM (Self-Assessment Manikin) scale was carried out, with reason-emotion humanoids and academic stimuli. The main result is that the SAM is a viable, fast and effective model. It addresses institutional technical issues from a personal perspective. Furthermore, the divergence of perception between the former students and the current students was found.","PeriodicalId":432459,"journal":{"name":"2021 IEEE International Conference on Educational Technology (ICET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134059213","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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