DocumentCode :
1627205
Title :
Establishing an lifelong learning environment using IOT and learning analytics
Author :
Cheng, Hsu-Chen ; Liao, Wen-Wei
Author_Institution :
Dept. of Inf. & Manage., Chinese Culture Univ., Taipei, Taiwan
fYear :
2012
Firstpage :
1178
Lastpage :
1183
Abstract :
With the trend of the development of global knowledge economy and lifelong learning society, the competition of lifelong learning market becomes increasingly keen. Lifelong learning units need to understand whether the courses they provide are appropriate and their students´ learning effectiveness just as advertisers need to understand the market and customers. In this context, learning analytics is extremely important. Traditionally, it used the data of questionnaire after the courses to perform analysis and evaluation, however, the questionnaire survey usually was conducted at the end of the semester, and therefore the immediateness is lower and teachers couldn´t adjust the content of the course and learning strategies based on their students´ needs immediately. Some researchers used the data collected by LMS to conduct real-time learning analytics, nevertheless, students perform learning not just in classes, they do it when they go to libraries to borrow books, use classrooms to discuss the courses, and utilize Mobile Devices to download data and join in seminar...etc. Therefore, this study tried to combine internet of things (IOT) and the techniques of learning analytics to record and conduct the analysis of students´ learning process and further enable them and schools to obtain feedbacks that they need and establish an effective lifelong learning environment.
Keywords :
Internet; computer aided instruction; continuing professional development; educational courses; educational institutions; IOT; Internet of Things; LMS; course content adjustment; data download; global knowledge economy development; learning strategies; libraries; lifelong learning environment; lifelong learning market competition; lifelong learning society; mobile devices; questionnaire survey; real-time learning analytics; schools; student learning process; Educational institutions; Internet; Least squares approximation; Mobile handsets; Radiofrequency identification; Software; IOT; Internet of Things; Learning Analytics; Lifelong Learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2012 14th International Conference on
Conference_Location :
PyeongChang
ISSN :
1738-9445
Print_ISBN :
978-1-4673-0150-3
Type :
conf
Filename :
6174821
Link To Document :
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