Student Knowledge Modeling - Revision history

Shruti at 17:06, 17 August 2023

2023-08-17T17:06:16Z

← Older revision		Revision as of 13:06, 17 August 2023
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	* Models discovering generalization of the performance for reading comprehension ability in the context of middle school students’ usage of Carnegie Learning’s ITS for mathematics instruction		* Models discovering generalization of the performance for reading comprehension ability in the context of middle school students’ usage of Carnegie Learning’s ITS for mathematics instruction
	* Model trained on smaller ~~data~~ achieves greater fairness in prediction for male/female as well as white/non-white students		* Model trained on smaller dataset achieves greater fairness in prediction for male/female as well as white/non-white students
	* For model trained on a larger dataset, prediction is more accurate for white and female students than non-white and male students.		* For model trained on larger dataset, prediction is more accurate for white and female students than non-white and male students.

Shruti: addition

2023-08-17T16:36:45Z

addition

← Older revision		Revision as of 12:36, 17 August 2023
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	*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students		*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students
	Almoubayyed et al. (2023) [https://educationaldatamining.org/EDM2023/proceedings/2023.EDM-long-papers.18/2023.EDM-long-papers.18.pdf pdf]		Almoubayyed et al. (2023) [https://educationaldatamining.org/EDM2023/proceedings/2023.EDM-long-papers.18/2023.EDM-long-papers.18.pdf pdf]

			* Models discovering generalization of the performance for reading comprehension ability in the context of middle school students’ usage of Carnegie Learning’s ITS for mathematics instruction
			* Model trained on smaller data achieves greater fairness in prediction for male/female as well as white/non-white students
			* For model trained on a larger dataset, prediction is more accurate for white and female students than non-white and male students.

Shruti: new

2023-08-17T16:34:54Z

new

← Older revision		Revision as of 12:34, 17 August 2023
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	*Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion		*Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
	*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students		*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students
			Almoubayyed et al. (2023) [https://educationaldatamining.org/EDM2023/proceedings/2023.EDM-long-papers.18/2023.EDM-long-papers.18.pdf pdf]

Ryan: fixed broken link

2022-12-17T14:58:28Z

fixed broken link

← Older revision		Revision as of 10:58, 17 December 2022
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	Yudelson et al. (2014) [https://~~citeseerx~~.~~ist~~.~~psu.edu~~/~~viewdoc~~/~~download?doi=10.1.1.659~~.~~872&rep=rep1&type=~~pdf pdf]		Yudelson et al. (2014) [https://www.yudelson.info/pdf/EDM2014_YudelsonFRBNJ.pdf pdf]
	*Models discovering generalizable sub-populations of students across different schools to predict students' learning with Carnegie Learning’s Cognitive Tutor (CLCT)		*Models discovering generalizable sub-populations of students across different schools to predict students' learning with Carnegie Learning’s Cognitive Tutor (CLCT)
	*Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion		*Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
	*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students		*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students

Seiyon at 12:26, 18 May 2022

2022-05-18T12:26:45Z

← Older revision		Revision as of 08:26, 18 May 2022
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	Yudelson et al. (2014) [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.872&rep=rep1&type=pdf pdf]		Yudelson et al. (2014) [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.872&rep=rep1&type=pdf pdf]
	*Models ~~structuring~~ schools ~~into reliably discernible groups~~		*Models discovering generalizable sub-populations of students across different schools to predict students' learning with Carnegie Learning’s Cognitive Tutor (CLCT)
	*Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion		*Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
	*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students		*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students

Seiyon at 20:30, 28 March 2022

2022-03-28T20:30:53Z

← Older revision		Revision as of 16:30, 28 March 2022
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	Yudelson et al. (2014) [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.872&rep=rep1&type=pdf pdf]		Yudelson et al. (2014) [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.872&rep=rep1&type=pdf pdf]
			*Models structuring schools into reliably discernible groups
	Models structuring schools into reliably discernible groups		*Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
	Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion		*Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students
	Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students

Seiyon at 20:30, 28 March 2022

2022-03-28T20:30:24Z

← Older revision		Revision as of 16:30, 28 March 2022
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	Yudelson et al. (2014) pdf		Yudelson et al. (2014) [https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.659.872&rep=rep1&type=pdf pdf]

	Models structuring schools into reliably discernible groups		Models structuring schools into reliably discernible groups
	Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion		Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
	Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students		Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students

Seiyon: Created page with "Yudelson et al. (2014) pdf Models structuring schools into reliably discernible groups Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students"

2022-03-28T20:29:54Z

Created page with "Yudelson et al. (2014) pdf Models structuring schools into reliably discernible groups Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students"

New page

Yudelson et al. (2014) pdf

Models structuring schools into reliably discernible groups
Models trained on schools with a high proportion of low-SES student performed worse than those trained with medium or low proportion
Models trained on schools with low, medium proportion of SES students performed similarly well for schools with high proportions of low-SES students