Difference between revisions of "Algorithmic Bias in Education"
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* [[At-risk/Dropout/Stopout/Graduation Prediction]] | * [[At-risk/Dropout/Stopout/Graduation Prediction]] | ||
* [[Course Grade and GPA Prediction]] | * [[Course Grade and GPA Prediction]] | ||
*National and International Examination | |||
* [[Short-term Performance and Learning Gains Prediction]] | * [[Short-term Performance and Learning Gains Prediction]] | ||
* [[Automated Essay Scoring]] | * [[Automated Essay Scoring]] | ||
Revision as of 23:30, 25 January 2022
Algorithmic Bias in Education
This Wiki summarizes the current evidence surrounding Algorithmic Bias in Education: which groups are impacted, and in which contexts.
For a relatively recent review on this topic, see Baker, R.S., Hawn, M.A. (in press) Algorithmic Bias in Education. To appear in International Journal of Artificial Intelligence and Education (pdf)
By Group Impacted
- Race and Ethnicity
- Gender: Male/Female
- Gender: Non-Binary and Transgender Learners
- Sexual Orientation
- Linguistic Origin
- National Origin or National Location
- International Students
- Native Language and Dialect
- Learners with Disabilities
- Age
- Urbanicity
- Parental Educational Background
- Socioeconomic Status
- Military-Connected Status
- Children of Migrant Workers
- Religion and Religious Background
- Intersectional Research
By Algorithm Application
- At-risk/Dropout/Stopout/Graduation Prediction
- Course Grade and GPA Prediction
- National and International Examination
- Short-term Performance and Learning Gains Prediction
- Automated Essay Scoring
- Speech Recognition for Education
- Other NLP Applications of Algorithms in Education
- Student Knowledge Modeling
- Engagement and Affect Detection