2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)最新文献_第8页

Enhancing learning objects recommendation using multi-criteria recommender systems 使用多标准推荐系统增强学习对象推荐

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851771

Mohammed Hassan, Mohamed Hamada

引用次数: 12

Visualization of extra curriculum education for promoting active learning 促进主动学习的课外教育可视化

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851778

Nobuyuki Ogawa, Akira Shimizu

引用次数: 4

Does lecture capturing improve learning?: A data driven exploratory study on the effectiveness of lecture capture on learning in a foundation IT course 听课能提高学习效果吗?:一项数据驱动的探索性研究，探讨讲座捕捉对IT基础课程学习效果的影响

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851818

Kai-Pan Mark, L. Vrijmoed

{"title":"Does lecture capturing improve learning?: A data driven exploratory study on the effectiveness of lecture capture on learning in a foundation IT course","authors":"Kai-Pan Mark, L. Vrijmoed","doi":"10.1109/TALE.2016.7851818","DOIUrl":"https://doi.org/10.1109/TALE.2016.7851818","url":null,"abstract":"The primary objective of a foundation IT course is to equip students with necessary IT skills to facilitate problem solving in daily life, academic studies and the future workplace. As an IT educator, we always come across a high degree of digital divide among students, as exemplified by the post-course student evaluation feedback: a group of students reflected the foundation IT course as “too easy” but another group expressed as “too difficult”. Educational technology solutions, e.g., lecture capturing, have been adopted to archive the classroom delivery for subsequent review by students so that users can access the relevant contents on demand anytime and anywhere with a mobile device connected to the Internet. Educators advocate that the use of lecture capturing generally improves students' academic performance. This paper extends the discussion with another angle: how does lecture capturing improve learning? Specifically, our research questions are: 1) Do students' frequency of access and duration of watching the captured lecture directly influence the academic results? and 2) Is lecture capturing effective for all students, or only to some student groups with different academic performance? A data driven approach was used to analyze the relationship between students' academic performance, the frequency and duration of accessing the captured lecture contents. Our results suggest that lecture capturing is more effective among the mid-range achievers, and tend to have minimal effects on the two ends of the achiever scale (i.e., two extremes: the high achievers and the low achievers).","PeriodicalId":117659,"journal":{"name":"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)","volume":"24 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":"127797812","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: 5

An interview study on student motivation in group-based engineering design projects 基于小组的工程设计项目学生动机的访谈研究

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851838

Ng Hui Hsien, E. C. Koh, A. Loh

引用次数: 4

Designing an effective Virtual Field trip for e-Learning 为电子学习设计一个有效的虚拟实地考察

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851762

S. Kundu

引用次数: 5

Video Recommender System using textual data: Its application on LMS and Serendipity evaluation 基于文本数据的视频推荐系统:在LMS和Serendipity评价中的应用

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851809

Natthanun Chantanurak, P. Punyabukkana, A. Suchato

{"title":"Video Recommender System using textual data: Its application on LMS and Serendipity evaluation","authors":"Natthanun Chantanurak, P. Punyabukkana, A. Suchato","doi":"10.1109/TALE.2016.7851809","DOIUrl":"https://doi.org/10.1109/TALE.2016.7851809","url":null,"abstract":"Learning Management System (LMS) has become a tool common to teachers and students in this day and age. Students focus on the materials posted by their teachers, be they slides, lectures, class notes, or other documents. But with the massive pool of knowledge on the internet, students should be able to learn from these external resources if they can identify the useful ones. In this work, we propose an algorithm and an application that automatically search and select videos from YouTube that are relevant to the materials posted on Learning Management System (LMS). Our application is called Video Recommender System (VRS). It contains two parts; API and Document Processing. We utilized the Term Frequency-Inverse Document Frequency (TF-IDF) to map the documents and videos based on their metadata. The evaluation method used in this study is based on Serendipity which is designed to measure the preferable, unexpected or good-surprise outcomes. Finally, we compare the result of our algorithm to one from direct search using material titles. A/B testing revealed that our recommendations outperform the traditional search and the average Serendipity scores for VRS is 0.196 greater than that of the title search with significance.","PeriodicalId":117659,"journal":{"name":"2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)","volume":"269 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":"121409821","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: 8

Teaching sustainable energy course through real world case studies, projects and simulations 通过真实世界的案例研究、项目和模拟来教授可持续能源课程

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-12-01 DOI: 10.1109/TALE.2016.7851836

D. Srinivasan

引用次数: 7

Bringing the outside world in: Using mixed panel assessment of oral presentations with Electrical and Electronic Engineering students 引入外部世界:使用混合小组评估与电气和电子工程专业的学生口头报告

2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Pub Date : 2016-02-13 DOI: 10.1109/TALE.2016.7851761

J. Kernec, Peter Levrai, Averil Bolster

引用次数: 2