Public or Private K-12 School - Revision history

Zhanlan at 21:33, 1 June 2023

2023-06-01T21:33:54Z

← Older revision		Revision as of 17:33, 1 June 2023
Line 2:		Line 2:
	* An algorithm predicting dropout from university after the first year		* An algorithm predicting dropout from university after the first year
	* Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.		* Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.

	~~Queiroga et al. (2022) [https://doi.org/10.3390/info13090401 pdf]~~

	* Models predicting secondary school students at risk of failure or dropping out.
	* Models achieved high performances with an AUROC higher than 0.90 and F1-Macro higher than 0.88.
	* Models achieve better results when new data comes from the secondary education period (e.g., model M2G1-UTU achieved a performance of 95%).
	* First-year primary school zones (rural or urban) and sixth-year assessment-based grouping are two of the most important attributes of this model.

Zhanlan at 20:08, 29 May 2023

2023-05-29T20:08:37Z

← Older revision		Revision as of 16:08, 29 May 2023
Line 3:		Line 3:
	* Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.		* Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.

			Queiroga et al. (2022) [https://doi.org/10.3390/info13090401 pdf]

	~~Queiroga et al. (2022) <nowiki>[https://doi.org/10.3390/info13090401 pdf]</nowiki>~~		* Models predicting secondary school students at risk of failure or dropping out.
			* Models achieved high performances with an AUROC higher than 0.90 and F1-Macro higher than 0.88.
	~~<nowiki>~~*~~</nowiki>~~ Models predicting secondary school students at risk of failure or dropping out.		* Models achieve better results when new data comes from the secondary education period (e.g., model M2G1-UTU achieved a performance of 95%).
			* First-year primary school zones (rural or urban) and sixth-year assessment-based grouping are two of the most important attributes of this model.
	~~<nowiki>~~*~~</nowiki>~~ Models achieved high performances with an AUROC higher than 0.90 and F1-Macro higher than 0.88.

	~~<nowiki>~~*~~</nowiki>~~ Models achieve better results when new data comes from the secondary education period (e.g., model M2G1-UTU achieved a performance of 95%).

	~~<nowiki>~~*~~</nowiki>~~ First-year primary school zones (rural or urban) and sixth-year assessment-based grouping are two of the most important attributes of this model.

Zhanlan at 20:07, 29 May 2023

2023-05-29T20:07:22Z

← Older revision		Revision as of 16:07, 29 May 2023
Line 2:		Line 2:
	* An algorithm predicting dropout from university after the first year		* An algorithm predicting dropout from university after the first year
	* Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.		* Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.


			Queiroga et al. (2022) <nowiki>[https://doi.org/10.3390/info13090401 pdf]</nowiki>

			<nowiki>*</nowiki> Models predicting secondary school students at risk of failure or dropping out.

			<nowiki>*</nowiki> Models achieved high performances with an AUROC higher than 0.90 and F1-Macro higher than 0.88.

			<nowiki>*</nowiki> Models achieve better results when new data comes from the secondary education period (e.g., model M2G1-UTU achieved a performance of 95%).

			<nowiki>*</nowiki> First-year primary school zones (rural or urban) and sixth-year assessment-based grouping are two of the most important attributes of this model.

Ryan: started page

2022-05-21T12:53:54Z

started page

New page

Verdugo et al. (2022) [https://https://www.researchgate.net/profile/Jonathan-Vasquez-Verdugo/publication/359176069_FairEd_A_Systematic_Fairness_Analysis_Approach_Applied_in_a_Higher_Educational_Context/links/622ba9e89f7b324634245afa/FairEd-A-Systematic-Fairness-Analysis-Approach-Applied-in-a-Higher-Educational-Context.pdf pdf]
* An algorithm predicting dropout from university after the first year
* Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.