| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 5 | |
| Section | Network Security System, Neural Network and Data Information | |
| DOI | https://doi.org/10.1051/matecconf/201823201025 | |
| Published online | 19 November 2018 | |
Research on Key Development Technologies for SPOC Platform
College of Computer Engineering, Anhui SanLian University, Hefei 230601, China
* Corresponding author: yjjyjL@163.com
As the derivation and innovation of MOOC (Massive Open Online Course), the development of SPOC (Small Private Online Course) platform which is based on MOOC idea can be better applied to the blended teaching of various courses in local universities in post-MOOC era. Based on the analysis of the current application of SPOC platform, from the view of technology in implementation, we explore the key technologies of identification on face recognition based on emotion calculation,course creating, editing and sharing, analysis of online learning behaviour and exercising or examining on subjective items for developing of a SPOC platform. Finally, further researches on how to construct on the targeted and distinctive mobile learning resources and smart education mode which is based on SPOC, how to provide formative assessment data and consciousness assessment data for learners accurately and function of data statistics and motivational observation that could be completed by teachers, how to cut some non-essential auxiliary functions of an existed MOOC platform for a certain local user group to form a flexible and usable SPOC platform with good expansibility are expected in the paper.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.