This exploratory study was conducted to understand importing layered grids as an assignment in editorial design courses, and to explore relevant variables which may affect curriculum performance. A double-grid layered experimental poster design assignment was assigned to sophomore design students. A self-evaluation questionnaire and expert group meeting followed for comparison analysis. Results showed that students with positive attitudes towards grid-based design assignments have stronger motivation to face challenges, and can solve the problem more distinctly and delicately. Those who consider grid designs as a constraint tend to take conservative and safer approaches towards designing. How to overcome students' psychological barriers and break away from the limitation of personal work habits are proposed as the essential goal for further curriculum reform. The study suggests that a variety of effective problem-solving approaches found from the experiment may be provided in advance, in the course description, to improve students' self-confidence synchronously.
{"title":"An Exploratory Experiment of Layout Design Curriculum with Layered Grids Approach","authors":"Kuei To Wang, Yao-Hua Lee","doi":"10.1145/3395245.3396412","DOIUrl":"https://doi.org/10.1145/3395245.3396412","url":null,"abstract":"This exploratory study was conducted to understand importing layered grids as an assignment in editorial design courses, and to explore relevant variables which may affect curriculum performance. A double-grid layered experimental poster design assignment was assigned to sophomore design students. A self-evaluation questionnaire and expert group meeting followed for comparison analysis. Results showed that students with positive attitudes towards grid-based design assignments have stronger motivation to face challenges, and can solve the problem more distinctly and delicately. Those who consider grid designs as a constraint tend to take conservative and safer approaches towards designing. How to overcome students' psychological barriers and break away from the limitation of personal work habits are proposed as the essential goal for further curriculum reform. The study suggests that a variety of effective problem-solving approaches found from the experiment may be provided in advance, in the course description, to improve students' self-confidence synchronously.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128636264","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}
Learning investment is considered to be an important predictor of academic achievement, and learning investment affects the realization of deep learning. The article uses the revised learning engagement scale and deep learning scale in an online learning environment to select high school students in science to conduct a questionnaire survey and collect data. The data is researched from three aspects: overall descriptive statistical analysis, correlation analysis between learning investment and deep learning, and regression analysis of learning investment and deep learning. The results show that (1) The overall level of student investment and deep learning is relatively high, but students' learning interests, the maintenance and cultivation of good learning habits, and their ability to transfer and use knowledge are lacking. (2) The student's investment in learning It has a significant positive correlation with deep learning, in which learning behavior investment has the most significant impact on deep learning, cognitive investment is the second, and emotional investment is the lowest. (3) Students' behavioral and cognitive investment can positively predict deep learning capabilities, and behavioral investment has the biggest impact, and emotional investment has no impact on deep learning. Based on the above research results, the article gives the strategies for improving students' deep learning ability.
{"title":"Study on the Influence of Learning engagement on Deep Learning in E-Learning Environment","authors":"Dong Xiaoxiao, Zhou Dongdai","doi":"10.1145/3395245.3396428","DOIUrl":"https://doi.org/10.1145/3395245.3396428","url":null,"abstract":"Learning investment is considered to be an important predictor of academic achievement, and learning investment affects the realization of deep learning. The article uses the revised learning engagement scale and deep learning scale in an online learning environment to select high school students in science to conduct a questionnaire survey and collect data. The data is researched from three aspects: overall descriptive statistical analysis, correlation analysis between learning investment and deep learning, and regression analysis of learning investment and deep learning. The results show that (1) The overall level of student investment and deep learning is relatively high, but students' learning interests, the maintenance and cultivation of good learning habits, and their ability to transfer and use knowledge are lacking. (2) The student's investment in learning It has a significant positive correlation with deep learning, in which learning behavior investment has the most significant impact on deep learning, cognitive investment is the second, and emotional investment is the lowest. (3) Students' behavioral and cognitive investment can positively predict deep learning capabilities, and behavioral investment has the biggest impact, and emotional investment has no impact on deep learning. Based on the above research results, the article gives the strategies for improving students' deep learning ability.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122119807","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}
Min-Chi Lin, Shih-Chieh Lin, Y. Hwang, Chih-Peng Fan
By utilizing the deep learning model to develop the pedestrian facial direction classifier, in this paper, the proposed You only look once (YOLO)-based deep-learning technology is applied to analyze the images captured by camera to identify the facial directions of pedestrians. To enhance the training effect of mirror categories, the selected images are horizontally flipped to expand the datasets. To avoid misclassification of facial directions, the softmax scheme of the original YOLOv2 model is replaced with the logistic classifier used in YOLOv3, and the improved model is called YOLOv2_ logistic. By the same parameters on the webcam captured dataset, the experimental results show that the YOLOv2_logistic has the best performances on recall, precision, and mean Average Precision (mAP), which are 85%, 81%, 86.28%, respectively. The YOLOv3 tiny has the second performances, and its recall, precision, and mAP is 81%, 80%, 78.83%, respectively. In the frame per second (fps) test, the YOLOv3 tiny has the second best performance, and it reaches 30 fps on the Xavier platform. Although the facial direction detection performance of the YOLOv3 tiny model is slightly lower than that of the YOLOv2_logistic model, the performance of fps by the YOLOv3 tiny model is more than that by the YOLOv2_logistic model.
本文利用深度学习模型开发行人面部方向分类器，将提出的基于You only look once (YOLO)的深度学习技术应用于对摄像头拍摄的图像进行分析，识别行人的面部方向。为了增强镜像分类的训练效果，对选中的图像进行水平翻转，扩展数据集。为了避免面部方向的误分类，将原YOLOv2模型的softmax方案替换为YOLOv3中使用的logistic分类器，将改进后的模型称为YOLOv2_ logistic。实验结果表明，在相同的参数下，YOLOv2_logistic在查全率(recall)、查准率(precision)和平均查准率(mAP)方面表现最佳，分别为85%、81%和86.28%。YOLOv3 tiny的召回率(recall)为81%，准确率(precision)为80%，mAP为78.83%。在每秒帧数(fps)测试中，YOLOv3 tiny具有第二好的性能，在Xavier平台上达到30 fps。虽然YOLOv3微小模型的面部方向检测性能略低于YOLOv2_logistic模型，但YOLOv3微小模型的fps性能优于YOLOv2_logistic模型。
{"title":"Designs and Comparisons of Facial Direction Detection Technology with YOLO Based Deep Learning Networks","authors":"Min-Chi Lin, Shih-Chieh Lin, Y. Hwang, Chih-Peng Fan","doi":"10.1145/3395245.3396411","DOIUrl":"https://doi.org/10.1145/3395245.3396411","url":null,"abstract":"By utilizing the deep learning model to develop the pedestrian facial direction classifier, in this paper, the proposed You only look once (YOLO)-based deep-learning technology is applied to analyze the images captured by camera to identify the facial directions of pedestrians. To enhance the training effect of mirror categories, the selected images are horizontally flipped to expand the datasets. To avoid misclassification of facial directions, the softmax scheme of the original YOLOv2 model is replaced with the logistic classifier used in YOLOv3, and the improved model is called YOLOv2_ logistic. By the same parameters on the webcam captured dataset, the experimental results show that the YOLOv2_logistic has the best performances on recall, precision, and mean Average Precision (mAP), which are 85%, 81%, 86.28%, respectively. The YOLOv3 tiny has the second performances, and its recall, precision, and mAP is 81%, 80%, 78.83%, respectively. In the frame per second (fps) test, the YOLOv3 tiny has the second best performance, and it reaches 30 fps on the Xavier platform. Although the facial direction detection performance of the YOLOv3 tiny model is slightly lower than that of the YOLOv2_logistic model, the performance of fps by the YOLOv3 tiny model is more than that by the YOLOv2_logistic model.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125868050","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}
Hedong dialect in Dunhuang, Gansu Province, is one of the representatives of Central Plains Mandarin. This paper mainly use experimental phonetic method to study the monosyllabic tones of Hedong dialect. In this paper, the old male and the young male are chosen as the pronunciators. Firstly, the rules of tone evolution of the old male and the young male is analyzed through experiments. Then, the tone height and length patterns of the old male and the young male are constructed. Finally, the differences between the old male and the young male in Hedong dialect are compared with the results of previous studies.
{"title":"Experimental Research on the Monosyllabic Tones of Hedong Dialect in Dunhuang","authors":"Mingxiao Gu, Yonghong Li, Hongjie Wang","doi":"10.1145/3395245.3396205","DOIUrl":"https://doi.org/10.1145/3395245.3396205","url":null,"abstract":"Hedong dialect in Dunhuang, Gansu Province, is one of the representatives of Central Plains Mandarin. This paper mainly use experimental phonetic method to study the monosyllabic tones of Hedong dialect. In this paper, the old male and the young male are chosen as the pronunciators. Firstly, the rules of tone evolution of the old male and the young male is analyzed through experiments. Then, the tone height and length patterns of the old male and the young male are constructed. Finally, the differences between the old male and the young male in Hedong dialect are compared with the results of previous studies.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131073068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to reveal E-learning implementation readiness in junior high schools. This study was a quantitative study employing questionnaire as the main instrument. This study utilized six ELR (E-learning Readiness) factors, namely (1) students' readiness, (2) teachers' readiness, (3) infrastructure, (4) management support, (5) school culture, and (6) face-to-face learning tendency. These six factors were transformed into 34 statements in the questionnaire. The respondents were 59 teachers who were the members of Teacher Communication Forum or Forum Komunikasi Guru (FKG) in Indonesia. The result indicated that junior high schools in Indonesia in general were ready to use E-learning but required an improvement with an overall ELR score of 3.78. Five of the six factors proposed indicated schools' readiness. The five factors were teachers' readiness with ELR score of 3.97, students' readiness with ELR score of 3.92, infrastructure with ELR score of 3.82, management support with ELR score of 3.82, and school culture with ELR score of 3.76. The sixth factor was face-to-face learning tendency which had an ELR score of 3.39 or smaller than 3.4. Therefore, it was categorized as not ready and required improvement to be able to implement E-learning.
本研究旨在了解初中生实施电子学习的意愿。本研究是一项以问卷调查为主要工具的定量研究。本研究使用了6个ELR (E-learning Readiness)因素，即(1)学生准备程度、(2)教师准备程度、(3)基础设施、(4)管理支持、(5)学校文化和(6)面对面学习倾向。这6个因素转化为问卷中的34个语句。受访者为印尼教师交流论坛或论坛Komunikasi Guru (FKG)成员的59名教师。结果表明，印度尼西亚初中总体上已经准备好使用E-learning，但总体ELR得分为3.78，需要改进。提出的六个因素中有五个表明了学校的准备程度。5个因素分别是教师的准备性(ELR得分3.97)、学生的准备性(ELR得分3.92)、基础设施(ELR得分3.82)、管理支持(ELR得分3.82)和学校文化(ELR得分3.76)。第6个因素是面对面学习倾向，其ELR得分为3.39或小于3.4。因此，它被归类为尚未准备好，需要改进才能实现E-learning。
{"title":"E-learning in 21st Century Era: Junior High School Readiness in Social Studies","authors":"Ali Sunarno, N. Supriatna, E. Malihah","doi":"10.1145/3395245.3396447","DOIUrl":"https://doi.org/10.1145/3395245.3396447","url":null,"abstract":"This study aims to reveal E-learning implementation readiness in junior high schools. This study was a quantitative study employing questionnaire as the main instrument. This study utilized six ELR (E-learning Readiness) factors, namely (1) students' readiness, (2) teachers' readiness, (3) infrastructure, (4) management support, (5) school culture, and (6) face-to-face learning tendency. These six factors were transformed into 34 statements in the questionnaire. The respondents were 59 teachers who were the members of Teacher Communication Forum or Forum Komunikasi Guru (FKG) in Indonesia. The result indicated that junior high schools in Indonesia in general were ready to use E-learning but required an improvement with an overall ELR score of 3.78. Five of the six factors proposed indicated schools' readiness. The five factors were teachers' readiness with ELR score of 3.97, students' readiness with ELR score of 3.92, infrastructure with ELR score of 3.82, management support with ELR score of 3.82, and school culture with ELR score of 3.76. The sixth factor was face-to-face learning tendency which had an ELR score of 3.39 or smaller than 3.4. Therefore, it was categorized as not ready and required improvement to be able to implement E-learning.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114056792","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}
Yusuke Tokuyama, Ryo Miki, Y. Fukushima, Yuya Tarutani, T. Yokohira
Recurrent neural network method considering traffic volume, timestamp and day of the week (RNN-VTD method) is a promising network traffic prediction method because of its high prediction accuracy. The RNN-VTD method encodes timestamp and day of the week, which are categorical data, to numerical data using label encoding. The label encoding, however, gives magnitude to the encoded values, which may cause misunderstanding of recurrent neural network models, and consequently, the prediction accuracy of the RNN-VTD method may be degraded. In this paper, we investigate the effect of using one-hot encoding instead of label encoding for a feature encoding method in the RNN-VTD method. In the one-hot encoding, each input data is encoded to an k-dimensional 0--1 vector where k is the number of category types. Because the encoded data do not have magnitude, it is expected that the prediction accuracy of the RNN-VTD method is improved.
{"title":"Performance Evaluation of Feature Encoding Methods in Network Traffic Prediction Using Recurrent Neural Networks","authors":"Yusuke Tokuyama, Ryo Miki, Y. Fukushima, Yuya Tarutani, T. Yokohira","doi":"10.1145/3395245.3396441","DOIUrl":"https://doi.org/10.1145/3395245.3396441","url":null,"abstract":"Recurrent neural network method considering traffic volume, timestamp and day of the week (RNN-VTD method) is a promising network traffic prediction method because of its high prediction accuracy. The RNN-VTD method encodes timestamp and day of the week, which are categorical data, to numerical data using label encoding. The label encoding, however, gives magnitude to the encoded values, which may cause misunderstanding of recurrent neural network models, and consequently, the prediction accuracy of the RNN-VTD method may be degraded. In this paper, we investigate the effect of using one-hot encoding instead of label encoding for a feature encoding method in the RNN-VTD method. In the one-hot encoding, each input data is encoded to an k-dimensional 0--1 vector where k is the number of category types. Because the encoded data do not have magnitude, it is expected that the prediction accuracy of the RNN-VTD method is improved.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115116318","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}
Developing "Internet + Education" and promoting the sharing of high-quality educational resources are the major trends of national educational reformation and development in China. As a compulsory course for undergraduates, it is necessary to reform the traditional mode of English teaching in order to better meet the needs of cultivating internationalized and practical talents in the Internet era. Therefore, based on the project of "Seminar Course" in one Chinese university, this paper explores the construction of Hybrid English Courses by employing Superstar Platform which is a mobile learning software. It aims to establish a new teaching mode which could improve undergraduates' language use ability in higher education in China.
{"title":"Construction of Hybrid English Courses Based on Mobile Software Assisted Teaching in Chinese Universities","authors":"W. Dou, X. Song","doi":"10.1145/3395245.3396435","DOIUrl":"https://doi.org/10.1145/3395245.3396435","url":null,"abstract":"Developing \"Internet + Education\" and promoting the sharing of high-quality educational resources are the major trends of national educational reformation and development in China. As a compulsory course for undergraduates, it is necessary to reform the traditional mode of English teaching in order to better meet the needs of cultivating internationalized and practical talents in the Internet era. Therefore, based on the project of \"Seminar Course\" in one Chinese university, this paper explores the construction of Hybrid English Courses by employing Superstar Platform which is a mobile learning software. It aims to establish a new teaching mode which could improve undergraduates' language use ability in higher education in China.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115225044","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}
The purpose of this paper is to reveal the effect of Virtual Channels (VCs) for our novel proposed fault-tolerant routing method which allows the passage of faulty nodes in Network on Chips (NoCs). Conventional fault-tolerant routing methods can be classified into two approaches; that is, (1) approach with VCs and (2) that without VCs. However, due to the large difference in the hardware amount required for the implementation, performance comparison has not been made between those approaches. VCs can be added for congestion mitigation; therefore, they can be added to even the methods based on (2). In this paper, we employ VCs in our method [6] which is based on (2) and make performance comparison between our method with Chalasani's method [2] which necessitates four VCs. Simulation results show that our method with four VCs can reduce average communication latency by about 96%, compared with Chalasani's method.
{"title":"Effect of Virtual Channels for a Fault-Tolerant XY Routing Method with the Passage of Faulty Nodes","authors":"Yota Kurokawa, Masaru Fukushi","doi":"10.1145/3395245.3396419","DOIUrl":"https://doi.org/10.1145/3395245.3396419","url":null,"abstract":"The purpose of this paper is to reveal the effect of Virtual Channels (VCs) for our novel proposed fault-tolerant routing method which allows the passage of faulty nodes in Network on Chips (NoCs). Conventional fault-tolerant routing methods can be classified into two approaches; that is, (1) approach with VCs and (2) that without VCs. However, due to the large difference in the hardware amount required for the implementation, performance comparison has not been made between those approaches. VCs can be added for congestion mitigation; therefore, they can be added to even the methods based on (2). In this paper, we employ VCs in our method [6] which is based on (2) and make performance comparison between our method with Chalasani's method [2] which necessitates four VCs. Simulation results show that our method with four VCs can reduce average communication latency by about 96%, compared with Chalasani's method.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129722677","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}
With the increasingly serious phenomenon of urban congestion, the construction of urban rail transit system is speeding up, and the demand for urban rail transit operation and management talents is growing. How to train urban rail transit operation management talents to meet the needs of the region is an urgent research topic. Based on the close cooperation between the school and the enterprise, this paper makes a detailed study on the formulation and implementation of the training program for urban rail transit operation and management professionals. Through the accurate determination of professional talent training objectives, detailed analysis of post work and professional ability, and systematic construction of professional curriculum system, we can reasonably formulate and organize the implementation of professional talent training programs. In order to meet the needs of the development of regional urban rail transit in Colleges and universities, this paper constructs a specific way of professional personnel training program, and gives constructive suggestions according to the implementation effect.
{"title":"A Study on the Training of Urban Rail Transit Operation Management Talents","authors":"Yunxia Niu, Zhang Rong, Su Ying","doi":"10.1145/3395245.3396438","DOIUrl":"https://doi.org/10.1145/3395245.3396438","url":null,"abstract":"With the increasingly serious phenomenon of urban congestion, the construction of urban rail transit system is speeding up, and the demand for urban rail transit operation and management talents is growing. How to train urban rail transit operation management talents to meet the needs of the region is an urgent research topic. Based on the close cooperation between the school and the enterprise, this paper makes a detailed study on the formulation and implementation of the training program for urban rail transit operation and management professionals. Through the accurate determination of professional talent training objectives, detailed analysis of post work and professional ability, and systematic construction of professional curriculum system, we can reasonably formulate and organize the implementation of professional talent training programs. In order to meet the needs of the development of regional urban rail transit in Colleges and universities, this paper constructs a specific way of professional personnel training program, and gives constructive suggestions according to the implementation effect.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127742125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work reports on the use of an online whiteboard in producing a collaborative and interactive report in laboratory learning at the Faculty of Pharmacy, Silpakorn University, Thailand. In this strategy, 166 students worked in groups of 8-9 to create experimental flow charts, to record data and to discuss results with friends on the board. Along with the students' activities, the instructors accessed the boards to monitor student progress and to provide feedback. From the questionnaires, most students reported that they were satisfied with using the tool and agreed that the learning activities were effective. While most of them had never used an online whiteboard before, they reported that the tool was not difficult to use and had useful and attractive features. Furthermore, they gained digital skills and teamwork skills from learning with the whiteboard. Therefore, online whiteboard can be used a tool to engage students in collaborative learning, active learning and formative assessment.
{"title":"How Online Whiteboard Promotes Students' Collaborative Skills in Laboratory Learning","authors":"T. Rojanarata","doi":"10.1145/3395245.3396433","DOIUrl":"https://doi.org/10.1145/3395245.3396433","url":null,"abstract":"This work reports on the use of an online whiteboard in producing a collaborative and interactive report in laboratory learning at the Faculty of Pharmacy, Silpakorn University, Thailand. In this strategy, 166 students worked in groups of 8-9 to create experimental flow charts, to record data and to discuss results with friends on the board. Along with the students' activities, the instructors accessed the boards to monitor student progress and to provide feedback. From the questionnaires, most students reported that they were satisfied with using the tool and agreed that the learning activities were effective. While most of them had never used an online whiteboard before, they reported that the tool was not difficult to use and had useful and attractive features. Furthermore, they gained digital skills and teamwork skills from learning with the whiteboard. Therefore, online whiteboard can be used a tool to engage students in collaborative learning, active learning and formative assessment.","PeriodicalId":166308,"journal":{"name":"Proceedings of the 2020 8th International Conference on Information and Education Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128093690","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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