( en | de | ru )

 

Disambiguation of "Holstein, Kenneth"

Author of the publication

copydeleteadd this publication to your clipboard
What exactly do students learn when they practice equation solving?: refining knowledge components with the additive factors model.

, , and . LAK, page 399-408. ACM, (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Joachim Holstein

Gerhard Holstein

Willi Holstein

Horst Holstein

Erich Holstein

 

Other publications of authors with the same name

Designing for Human-AI Complementarity in K-12 Education., and . AI Mag., 43 (2): 239-248 (2022)Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?, , , , and . CHI, page 600. ACM, (2019)Equity and Artificial Intelligence in Education: Will ÄIEd" Amplify or Alleviate Inequities in Education?, and . CoRR, (2021)Designing for human-AI complementarity in K-12 education., and . CoRR, (2021)Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities., , , , , , , , , and 1 other author(s). CSCW Companion, page 282-286. ACM, (2022)Community-driven AI: Empowering people through responsible data-driven decision-making., , , , , , , , , and . CSCW Companion, page 532-536. ACM, (2023)Improving fairness in machine learning systems: What do industry practitioners need?, , , , and . (2018)cite arxiv:1812.05239Comment: To appear in the 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI 2019).Luna: A Dashboard for Teachers Using Intelligent Tutoring Systems., , , and . IWTA@EC-TEL, volume 1738 of CEUR Workshop Proceedings, page 18-14. CEUR-WS.org, (2016)The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms., , , , and . CHI, page 1-17. ACM, (2020)Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning., , , , , , and . CHI, page 419:1-419:14. ACM, (2023)