Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/21842
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gao, P | - |
dc.contributor.author | Zhao, Y | - |
dc.contributor.author | Wang, F | - |
dc.contributor.author | Lu, M | - |
dc.date.accessioned | 2020-11-17T17:02:36Z | - |
dc.date.available | 2020-08 | - |
dc.date.available | 2020-11-17T17:02:36Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | 2020 15th International Conference on Computer Science & Education (ICCSE), 2020 | en_US |
dc.identifier.issn | 2471-6146 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/21842 | - |
dc.description.sponsorship | Research on Teaching Methods of Classroom Discussion Promoting Discipline Integration in Fundamental Computer Education and (Association of Fundamental Computing Education in Chinese Universities, 2018-AFCEC-288); Teaching reform of "Database Technology and Application" Based on O-AMAS(Nankai University, NKJG2019038). | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.source | 2020 15th International Conference on Computer Science & Education (ICCSE) | - |
dc.source | 2020 15th International Conference on Computer Science & Education (ICCSE) | - |
dc.subject | online learning | en_US |
dc.subject | LC-MOOC | en_US |
dc.subject | knowledge point puzzle | en_US |
dc.subject | process assessment | en_US |
dc.title | A New Teaching Pattern and Evaluation System of Knowledge Point Puzzle in Massive Online Computer Courses | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.1109/iccse49874.2020.9201775 | - |
dc.relation.isPartOf | 2020 15th International Conference on Computer Science & Education (ICCSE) | - |
pubs.finish-date | 2020-08-22 | - |
pubs.finish-date | 2020-08-22 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2020-08-18 | - |
pubs.start-date | 2020-08-18 | - |
dc.identifier.eissn | 2473-9464 | - |
Appears in Collections: | Dept of Computer Science Research Papers |
Files in This Item:
File | Description | Size | Format | |
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FullText.pdf | 235.68 kB | Adobe PDF | View/Open |
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