Unleashing the Power of Predictive Analytics to Identify At-Risk Students in Computer Science.
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| Title: | Unleashing the Power of Predictive Analytics to Identify At-Risk Students in Computer Science. |
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| Authors: | Qushem, Umar Bin1, Oyelere, Solomon Sunday2, Akçapınar, Gökhan3, gokhana@hacettepe.edu.tr, Kaliisa, Rogers4, Laakso, Mikko-Jussi1 |
| Source: | Technology, Knowledge & Learning; Sep2024, Vol. 29 Issue 3, p1385-1400, 16p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 179873015 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179873015 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10758-023-09674-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1385 Titles: – TitleFull: Unleashing the Power of Predictive Analytics to Identify At-Risk Students in Computer Science. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Qushem, Umar Bin – PersonEntity: Name: NameFull: Oyelere, Solomon Sunday – PersonEntity: Name: NameFull: Akçapınar, Gökhan – PersonEntity: Name: NameFull: Kaliisa, Rogers – PersonEntity: Name: NameFull: Laakso, Mikko-Jussi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 22111662 Numbering: – Type: volume Value: 29 – Type: issue Value: 3 Titles: – TitleFull: Technology, Knowledge & Learning Type: main |
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