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1. Online Supplement 1 Appendix for Bowers, Zhao, and Ho (2023) Towards Hierarchical Cluster Analysis Heatmaps: R Shiny application code

: Bowers, Alex J.; Zhao, Yihan; Ho, Eric
: 2023
: Software
: Cluster analysisHigh school studentsCollege studentsEducation

2. Online Supplement 2 Appendix for Bowers, Zhao, and Ho (2023) Towards Hierarchical Cluster Analysis Heatmaps: R Tutorial and code

: Bowers, Alex J.; Zhao, Yihan; Ho, Eric
: 2023
: Software
: Cluster analysisHigh school studentsCollege studentsEducation

3. Unpacking the Caveats of ChatGPT in Education: Addressing Bias, Representation, Authorship, and Plagiarism

: Bowers, Alex J.
: 2023
: Presentations (Communicative Events)
: EducationTeachingNatural language processing (Computer science)Artificial intelligenceAuthorship

4. AI Image Generation with Stable Diffusion

: Bowers, Alex J.
: 2022
: Presentations (Communicative Events)
: Artificial intelligenceDeep learning (Machine learning)Image processing--Digital techniquesEducation

5. Mapping 16 Equity Indicators to the New York City Schools Public Datasets: Access, Opportunity, and Outcomes

: Bowers, Alex J.; Choi, Yeonsoo; Shi, Huijie; Sun, Feiyi; Sun, Haimei; Williams, Jonathan; Weeks, Sarah
: 2022
: Reports
: Educational evaluation--Data processingEducation--Research--Data processingEducational statisticsEducational equalizationEducationNew York City Public Schools

6. Online Supplement to Mapping 16 Equity Indicators to the New York City Schools Public Datasets: Access, Opportunity, and Outcomes

: Bowers, Alex J.; Choi, Yeonsoo; Shi, Huijie; Sun, Feiyi; Sun, Haimei; Williams, Jonathan; Weeks, Sarah
: 2022
: Software
: Educational equalization--EvaluationEducational evaluationNew York City Public Schools

7. Bowers and Monroe 2021 Online Supplement S1 for Using Hierarchical Linear Growth Modeling to Identify Longitudinally Outperforming School Districts in the United States, 2009–2013.

: Bowers, Alex J.
: 2021
: Data (Information)
: Educational leadershipSchool districtsSchool management and organization

8. Data Visualization, Dashboards, and Evidence Use in Schools: Data Collaborative Workshop Perspectives of Educators, Researchers, and Data Scientists

: Bowers, Alex J.
: 2021
: Reports
: Visualization--Data processingData curationTeaching

9. Supporting the Initial Work of Evidence-Based Improvement Cycles Through a Data-Intensive Partnership

: Bowers, Alex J.; Krumm, Andrew
: 2021
: Articles
: Educational leadershipSchool improvement programsSchool improvement programs--Data processingDecision makingCluster analysisInformation visualization

10. A Typology of Parental Involvement in Student Experience: A Latent Class Analysis

: Bowers, Alex J.; Zhou, Xiaoliang
: 2020
: Articles
: Education, SecondaryEducation--Parent participationHigh school studentsAcademic achievement