Shreya Malani, G. N. S. Prasanna, J. Alamo, J. Hardison, K. Moudgalya, Venkatesh Chopella
{"title":"Issues Faced in a Remote Instrumentation Laboratory","authors":"Shreya Malani, G. N. S. Prasanna, J. Alamo, J. Hardison, K. Moudgalya, Venkatesh Chopella","doi":"10.1109/T4E.2012.21","DOIUrl":"https://doi.org/10.1109/T4E.2012.21","url":null,"abstract":"An Online Lab is a multi-university shared laboratory environment, where students can exercise their knowledge as they would do in a physical lab. The idea is to have maximum resource utilization and collaboration between universities by sharing of ideas. This kind of remote laboratory negates the economic issues to set up a laboratory and allows every student to have an experience of real laboratory. As part of Ministry of Human Resource Development (MHRD) Robotics Lab project a study on state of art of remote labs was conducted. This paper discusses some key issues in the design and operation of such remote labs. The lab should be remotely usable by a large student body, with varied levels of sophistication, all the way from elementary learners, to PhD students doing research. In addition, the high design load implies that the architecture should be highly parallel, and structurally reliable.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123713129","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}
{"title":"Bio Suite as Teaching Platform in a Virtual Environment","authors":"Usha Manne, Sowjanya Gvl, Meenakshi Pradhan, Harini Srinivasan, Navneet Bung, Rajgopal Srinivasan, Gopalakrishnan Bulusu","doi":"10.1109/T4E.2012.62","DOIUrl":"https://doi.org/10.1109/T4E.2012.62","url":null,"abstract":"Bio Suite is a comprehensive Bioinformatics software package developed under a unique academia industry collaboration. The product is hosted on Amazon cloud for easy access to users from anywhere. Bio Suite is an efficient and easy to use state of the art Bioinformatics analysis package that is well suited to be a good teaching tool. Exploiting this feature of Bio Suite, a complete web course has been designed, which describes in detail both basic and advanced concepts in Bioinformatics. This web course is proposed to be hosted on \"Knome\" - a TCS Knowledge Ecosystem Solution, based on social networking concepts, for learning and sharing. The availability of the web course on a user friendly platform, supported by BioSuite deployed on cloud should make the learning experience easy and enjoyable for students.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125720833","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}
Anura Kenkre, Gargi Banerjee, Madhuri Mavinkurve, S. Murthy
{"title":"Identifying Learning Object Pedagogical Features to Decide Instructional Setting","authors":"Anura Kenkre, Gargi Banerjee, Madhuri Mavinkurve, S. Murthy","doi":"10.1109/T4E.2012.8","DOIUrl":"https://doi.org/10.1109/T4E.2012.8","url":null,"abstract":"Despite the abundant availability of Learning Objects as valuable teaching-learning tools, their use amongst teachers and college instructors is limited. An important reason for this is that instructors are not easily able to search and retrieve the LOs which map to their instructional goals. LO metadata only partially addresses this problem since existing metadata does not contain all the necessary pedagogy related information. In this paper we identify the pedagogical features of an LO, and use them to classify an LO for the appropriate instructional setting. We also test our classification scheme of LOs in electrical engineering domain available in the OSCAR LO repository. Lastly we suggest metadata tags based on these pedagogical features that LO repositories can use for search and retrieval of LOs for specific educational goals.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127768505","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}
{"title":"Applying the Technology Acceptance Model to Evaluate the Learning Companion Recommendation System on Facebook","authors":"Hsin-Chin Chen, Chia-Cheng Hsu, Cheng-Hsien Chang, Yueh-Min Huang","doi":"10.1109/T4E.2012.36","DOIUrl":"https://doi.org/10.1109/T4E.2012.36","url":null,"abstract":"Facebook is currently the most popular social networking site, and it has been used in a number of collaborative learning applications. In a collaborative learning environment, an adaptive learning companion could help learners understand the learning content and share knowledge, as well as increase creativity and facilitate the beneficial effects of collaborative learning. In this study, a learning companion recommendation system (LCRS) is developed on Facebook, which supports mobile collaborative learning. The system collects friends' profile data automatically according to their learning needs, such as interests and professional abilities. Moreover, the technology acceptance model and partial least squares regression are used to investigate learners' acceptance of the LCRS for learning activities.","PeriodicalId":202337,"journal":{"name":"2012 IEEE Fourth International Conference on Technology for Education","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127336041","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}