%0 Journal Article %1 Deho_2022 %A Deho, Oscar Blessed %A Zhan, Chen %A Li, Jiuyong %A Liu, Jixue %A Liu, Lin %A Le, Thuc Duy %D 2022 %I Wiley %J British Journal of Educational Technology %K algorithms ethics fairness learninganalytics machinelearning metrics mitigation %R 10.1111/bjet.13217 %T How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics? %U https://doi.org/10.1111%2Fbjet.13217

@article{Deho_2022, added-at = {2022-05-01T09:57:27.000+0200}, author = {Deho, Oscar Blessed and Zhan, Chen and Li, Jiuyong and Liu, Jixue and Liu, Lin and Le, Thuc Duy}, biburl = {https://www.bibsonomy.org/bibtex/2d10797e08bdb31d647676cf98c5a1fce/ereidt}, doi = {10.1111/bjet.13217}, interhash = {6e321930dfe79648c34581cc888bda55}, intrahash = {d10797e08bdb31d647676cf98c5a1fce}, journal = {British Journal of Educational Technology}, keywords = {algorithms ethics fairness learninganalytics machinelearning metrics mitigation}, month = apr, publisher = {Wiley}, timestamp = {2022-05-01T09:57:27.000+0200}, title = {How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?}, url = {https://doi.org/10.1111%2Fbjet.13217}, year = 2022 }