Asset Details

  • Description:
  • Most influential factors on the prediction of students’ academic success
  • License:
  • CC-BY
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © The Author(s) 2020
  • Asset Type:
  • Image
  • Asset Subtype:
  • Table
  • Image Orientation:
  • Portrait
  • Image Dimensions:
  • 1024 x 4980
  • Image File Size:
  • 1.71 MB
  • Creator:
  • Eyman Alyahyan, Dilek Düştegör
  • Credit:
  • Alyahyan, E., & Düştegör, D. (2020). Predicting academic success in higher education: literature review and best practices. International Journal of Educational Technology in Higher Education, 17(1), 3. https://doi.org/10.1186/s41239-020-0177-7.
  • Collection:
  • Keywords:
  • Higher education, Student success, Prediction, Data mining, Review, Guidelines
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Eyman Alyahyan, Dilek Düştegör
  • Article Copyright Year:
  • 2020
  • Publication Volume:
  • 17
  • Publication Issue:
  • 1
  • Publication Date:
  • 02/10/2020
  • DOI:
  • https://doi.org/10.1186/s41239-020-0177-7

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