Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/26746| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ajanovski, Vangel V. | en_US |
| dc.date.accessioned | 2023-06-08T14:06:19Z | - |
| dc.date.available | 2023-06-08T14:06:19Z | - |
| dc.date.issued | 2019-11-21 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/26746 | - |
| dc.description.abstract | A visual domain exploration tool is introduced that offers several viewpoints as parts of a personalized student advice and guidance solution: explanation of the personal progress over a reference body of knowledge areas, within the field of study; mapping of the actual courses in relation to the field of study where the taught topics belong; guidance in choosing courses aligned towards personal interests and abilities in respective areas. The student can visualize areas that are successfully covered by past courses, areas that are a probable point of risk, mandating greater focus and determination, and out-of-topic areas where the student is predicted to perform with greater success. The student can view the past trends of personal progress, and experiment with future tracks. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | ACM | en_US |
| dc.title | Body of Knowledge Explorer | en_US |
| dc.title.alternative | Body of Knowledge Explorer: Long-Term Student Guidance Across the Computer-Science Domain | en_US |
| dc.type | Proceeding article | en_US |
| dc.relation.conference | Proceedings of the 19th Koli Calling International Conference on Computing Education Research | en_US |
| dc.identifier.doi | 10.1145/3364510.3364531 | - |
| dc.identifier.url | https://dl.acm.org/doi/pdf/10.1145/3364510.3364531 | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers | |
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