ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)||5|
|Section||Session 4: Information System and its Applications|
|Published online||21 November 2016|
Analysis and Research about Characteristics of Online Learning Behaviours of SPOC Learners
1 Capital Normal University, Department of Educational Technology, Beijing, China
2 Capital Normal Universities, Department of Education, Beijing, China
a Corresponding author: email@example.com
SPOC (small private online course) has recently evolved into a typical representative in post-MOOC (massive open online courses) times. Current researches about SPOC mainly focus on blended learning mode, teaching process, and teaching mode etc., paying less attention to online behaviors of learners. Based on online platforms of the general knowledge course Game Theory, this paper analyzes and researches online behaviors of SPOC learners. In addition, this paper summarizes differences of SPOC and MOOC in online learning behaviors by collecting online learning behavioral data of 145 learners and investigating their online behavioral characteristics during their learning process. The research reveals, learners are fond of video media in terms of the communication form, tend to answer questions instead of coming up with their own questions in terms of interactions, and focus on quizzes and homework due to pressures of credits.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.