2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)最新文献_第6页

The development of MIASCE learning model based on the creative problem solving process for electromagnetic wave education 基于创造性解题过程的MIASCE电磁波教育学习模式开发

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851816

Warinee Weerasin, S. Akatimagool

{"title":"The development of MIASCE learning model based on the creative problem solving process for electromagnetic wave education","authors":"Warinee Weerasin, S. Akatimagool","doi":"10.1109/TALE.2016.7851816","DOIUrl":"https://doi.org/10.1109/TALE.2016.7851816","url":null,"abstract":"This research aims to develop MIASCE instructional model based on the creative problem solving process for electromagnetic wave education. The MIASCE learning model consists of six processes: 1) Motivation 2) Information 3) Assignment 4) Solution 5) Conclusion and 6) Evaluation. The research procedure was as follows; first, to study problems referring to electromagnetic wave education, next to analyze the learning theory and to develop and create research tools for electromagnetic wave courses. The developed instructional tool consisted of a MIASCE instruction's manual, teacher manual, power point presentation, simulation program and achievement test. Finally, quality of the developed MIASCE instructional model was evaluated by 5 instructors. The result showed that the quality of the model was at a highly appropriate level. After implementing the developed model using a sampling group from Rajamangala University of Technology PhraNakhon, faculty of Industrial Education, the student's satisfaction was found to be at a high level. From the results, the developed MIASCE instructional model can be applied to learning and teaching of electromagnetic waves effectively.","PeriodicalId":117659,"journal":{"name":"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133043645","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}

引用次数: 2

Enhancing competencies of less-able students to achieve learning outcomes: Learner aware tool support through Business intelligence 提高能力较差的学生的能力以实现学习成果:通过商业智能支持学习者感知工具

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851787

J. Jayakody, I. Perera

{"title":"Enhancing competencies of less-able students to achieve learning outcomes: Learner aware tool support through Business intelligence","authors":"J. Jayakody, I. Perera","doi":"10.1109/TALE.2016.7851787","DOIUrl":"https://doi.org/10.1109/TALE.2016.7851787","url":null,"abstract":"Early identification of less-able students is very important to develop them towards their full potential. However due to the increasing student intakes in each year for a degree program, it is a difficult task to identify those students who require the guidance and monitoring from the beginning. Manual observation and data collections, which require additional workload, are time consuming and a challenge to practice. Therefore efficient and usable tool support is essential to assist academics to identify the less-able students during the early stages of a course module. In this paper we introduce such a tool with the use of business intelligence helping the academics to decide student capability levels based on graph analysis on Moodle user log data. Moodle dataset of MSc in Business Management students of University of Moratuwa was used for this research. The XML formatted data were extracted from Moodle logs and SQL Server Integration Services (SSIS) were used to enhance the extraction, transformation and loading process. Data cubes were analyzed with multidimensional queries. Graph visualization was used and a number of patterns were realized to identify the less-able students using following data of student activities: assignment submission, usage scenarios, and number of occasions the course pages and other resources were accessed.","PeriodicalId":117659,"journal":{"name":"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130612022","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}

引用次数: 7

Analyzing academic discussion forum data with topic detection and data visualization 用主题检测和数据可视化分析学术论坛数据

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851779

G. Wong, Simon Y. K. Li, Elby W. Y. Wong

引用次数: 8

Facebook and information security education: What can we know from social network analyses on Hong Kong engineering students? Facebook与资讯安全教育:我们可以从香港工程学生的社交网络分析得知什么?

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851811

R. Y. Chan, Ka Man Carman Ho, Shuang Jia, Yifei Wang, Xinwei Yan, Xiaoyu Yu

引用次数: 4

A model and evaluation method of learning motivation in the education and training of professional engineers 专业工程师教育培训中学习动机的模型与评价方法

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851813

A. Kawano, Emiko Isogai, M. Aoyama

引用次数: 7

Automated marking of printed multiple choice answer sheets 自动标记打印的选择题答卷

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851785

D. Chai

引用次数: 10

Integration of virtual simulation experimental teaching system and Massive Open Online Courses: Reseach and exploration in NJUPT 虚拟仿真实验教学系统与大规模网络开放课程的整合:在新协和大学的研究与探索

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851775

Jianhua Shen, Haitao Zhao, Fei Li, Meilan Ye

引用次数: 3

Face authentication for e-Learning using time series information 使用时间序列信息的在线学习人脸认证

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851780

Taisuke Kawamata, Takatoshi Ishii, T. Akakura

引用次数: 4

Teaching Software Defined Networking: It's not just coding 教授软件定义的网络:这不仅仅是编码

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851784

Steve R. Cosgrove

引用次数: 5

STEM conversations in social media: Implications on STEM education 社交媒体中的STEM对话:对STEM教育的影响

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851810

T. Pickering, Timothy T. Yuen, Tianchong Wang

引用次数: 6