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2020 – today
- 2024
[j9]Anna Kawakami
, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu:
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-24 (2024)- [c59]Frederic Gmeiner, Jamie Lynn Conlin, Eric Handa Tang, Nikolas Martelaro, Kenneth Holstein:
An Evidence-based Workflow for Studying and Designing Learning Supports for Human-AI Co-creation. CHI Extended Abstracts 2024: 42:1-42:15 - [c58]Tzu-Sheng Kuo, Aaron Lee Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu:
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia. CHI 2024: 193:1-193:24 - [c57]Zahra Ashktorab, Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang:
Trust and Reliance in Evolving Human-AI Workflows (TREW). CHI Extended Abstracts 2024: 496:1-496:6 - [c56]Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein:
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder, Early-stage Deliberations Around Public Sector AI Proposals. CHI 2024: 749:1-749:22 - [c55]Wesley Hanwen Deng, Glen Berman, Harmanpreet Kaur, Reva Schwartz, Memunat A. Ibrahim, Motahhare Eslami, Kenneth Holstein, Michael Madaio:
Collaboratively Designing and Evaluating Responsible AI Interventions. CSCW Companion 2024: 658-662 - [c54]Tina M. Park, Adriana Alvarado Garcia, Juana Catalina Becerra Sandoval, Jiyoo Chang, Bill Curtis-Davidson, Remi Denton, Seeta Peña Gangadharan, Lara Groves, Jerremy Holland, Kenneth Holstein, Tamara Kneese, Jacob Metcalf, Emanuel Moss, Wilneida Negrón, Afsaneh Rigot, Lauren Wilcox:
Practicing Inclusivity in AI: Stakeholder Engagement Policy in Action. CSCW Companion 2024: 748-751 - [c53]Ningjing Tang, Jiayin Zhi, Tzu-Sheng Kuo, Calla Kainaroi, Jeremy J. Northup, Kenneth Holstein, Haiyi Zhu, Hoda Heidari, Hong Shen:
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services. FAccT 2024: 713-732 - [c52]Alicia DeVrio, Motahhare Eslami, Kenneth Holstein:
Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm. FAccT 2024: 1093-1106 - [c51]Luke Guerdan, Amanda Coston, Ken Holstein, Steven Wu:
Predictive Performance Comparison of Decision Policies Under Confounding. ICML 2024 - [i32]Tzu-Sheng Kuo, Aaron Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu:
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia. CoRR abs/2402.14147 (2024) - [i31]Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein:
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals. CoRR abs/2402.18774 (2024) - [i30]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Predictive Performance Comparison of Decision Policies Under Confounding. CoRR abs/2404.00848 (2024) - [i29]Anna Kawakami, Amanda Coston, Hoda Heidari, Kenneth Holstein, Haiyi Zhu:
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use. CoRR abs/2405.12458 (2024) - [i28]Philipp Spitzer, Joshua Holstein, Katelyn Morrison, Kenneth Holstein, Gerhard Satzger, Niklas Kühl:
Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration. CoRR abs/2409.12809 (2024) - [i27]Tzu-Sheng Kuo, Quan Ze Chen, Amy X. Zhang, Jane Hsieh, Haiyi Zhu, Kenneth Holstein:
PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation. CoRR abs/2409.15644 (2024) - [i26]Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery:
AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking. CoRR abs/2409.18203 (2024) - 2023
- [j8]Kenneth Holstein, Maria De-Arteaga, Lakshmi Tumati, Yanghuidi Cheng:
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-20 (2023) - [j7]Katelyn Morrison, Donghoon Shin, Kenneth Holstein, Adam Perer:
Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-37 (2023) - [c50]Frederic Gmeiner, Humphrey Yang, Lining Yao, Kenneth Holstein, Nikolas Martelaro:
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools. CHI 2023: 226:1-226:20 - [c49]Duri Long, Jessica Roberts, Brian Magerko, Kenneth Holstein, Daniella DiPaola, Fred Martin:
AI Literacy: Finding Common Threads between Education, Design, Policy, and Explainability. CHI Extended Abstracts 2023: 329:1-329:6 - [c48]Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu:
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2023: 371:1-371:6 - [c47]Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein:
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice. CHI 2023: 377:1-377:18 - [c46]Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer:
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CHI 2023: 419:1-419:14 - [c45]Kexin Bella Yang, Vanessa Echeverría, Zijing Lu, Hongyu Mao, Kenneth Holstein, Nikol Rummel, Vincent Aleven:
Pair-Up: Prototyping Human-AI Co-orchestration of Dynamic Transitions between Individual and Collaborative Learning in the Classroom. CHI 2023: 453:1-453:17 - [c44]Tzu-Sheng Kuo, Hong Shen, Jisoo Geum, Nev Jones, Jason I. Hong, Haiyi Zhu, Kenneth Holstein:
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services. CHI 2023: 860:1-860:17 - [c43]Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Kate Glazko, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Haiyi Zhu, Kenneth Holstein:
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CI 2023: 63-78 - [c42]Chinmay Kulkarni, Tongshuang Wu, Kenneth Holstein, Q. Vera Liao, Min Kyung Lee, Mina Lee, Hariharan Subramonyam:
LLMs and the Infrastructure of CSCW. CSCW Companion 2023: 408-410 - [c41]Ruyuan Wan, Adriana Alvarado Garcia, Devansh Saxena, Catalina Vajiac, Anna Kawakami, Logan Stapleton, Haiyi Zhu, Kenneth Holstein, Heloisa Candello, Karla A. Badillo-Urquiola:
Community-driven AI: Empowering people through responsible data-driven decision-making. CSCW Companion 2023: 532-536 - [c40]Wesley Hanwen Deng, Michelle S. Lam, Ángel Alexander Cabrera, Danaë Metaxa, Motahhare Eslami, Kenneth Holstein:
Supporting User Engagement in Testing, Auditing, and Contesting AI. CSCW Companion 2023: 556-559 - [c39]Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein:
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. FAccT 2023: 688-704 - [c38]Wesley Hanwen Deng, Nur Yildirim, Monica Chang, Motahhare Eslami, Kenneth Holstein, Michael Madaio:
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice. FAccT 2023: 705-716 - [c37]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Counterfactual Prediction Under Outcome Measurement Error. FAccT 2023: 1584-1598 - [c36]Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari:
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. SaTML 2023: 690-704 - [i25]Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer:
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CoRR abs/2302.04732 (2023) - [i24]Luke Guerdan, Amanda Coston, Zhiwei Steven Wu, Kenneth Holstein:
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making. CoRR abs/2302.06503 (2023) - [i23]Luke Guerdan, Amanda Coston, Kenneth Holstein, Zhiwei Steven Wu:
Counterfactual Prediction Under Outcome Measurement Error. CoRR abs/2302.11121 (2023) - [i22]Frederic Gmeiner, Humphrey Yang, Lining Yao, Kenneth Holstein, Nikolas Martelaro:
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools. CoRR abs/2303.00192 (2023) - [i21]Tzu-Sheng Kuo, Hong Shen, Jisoo Geum, Nev Jones, Jason I. Hong, Haiyi Zhu, Kenneth Holstein:
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services. CoRR abs/2303.09743 (2023) - [i20]Anna Kawakami, Amanda Coston, Haiyi Zhu, Hoda Heidari, Kenneth Holstein:
Recentering Validity Considerations through Early-Stage Deliberations Around AI and Policy Design. CoRR abs/2303.14602 (2023) - [i19]Wesley Hanwen Deng, Motahhare Eslami, Kenneth Holstein:
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI. CoRR abs/2304.00167 (2023) - [i18]Wesley Hanwen Deng, Nur Yildirim, Monica Chang, Motahhare Eslami, Ken Holstein, Michael Madaio:
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice. CoRR abs/2306.06542 (2023) - [i17]Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein:
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CoRR abs/2308.15700 (2023) - 2022
- [j6]Wayne Holmes, Kaska Porayska-Pomsta, Ken Holstein, Emma Sutherland, Toby Baker, Simon Buckingham Shum, Olga C. Santos, Maria Mercedes T. Rodrigo, Mutlu Cukurova, Ig Ibert Bittencourt, Kenneth R. Koedinger:
Ethics of AI in Education: Towards a Community-Wide Framework. Int. J. Artif. Intell. Educ. 32(3): 504-526 (2022) - [j5]Kenneth Holstein, Vincent Aleven:
Designing for Human-AI Complementarity in K-12 Education. AI Mag. 43(2): 239-248 (2022) - [j4]Connie W. Chau, Kenneth Holstein, Michael Madaio:
Part of the Conversation: Workforce Professionals' Perspectives on the Roles and Impacts of Workforce Technologies. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-22 (2022) - [c35]Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
"Why Do I Care What's Similar?" Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts. Conference on Designing Interactive Systems 2022: 454-470 - [c34]Vince Bartle, Janice Lyu, Freesoul El Shabazz-Thompson, Yunmin Oh, Angela Anqi Chen, Yu-Jan Chang, Kenneth Holstein, Nicola Dell:
"A Second Voice": Investigating Opportunities and Challenges for Interactive Voice Assistants to Support Home Health Aides. CHI 2022: 45:1-45:17 - [c33]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CHI 2022: 52:1-52:18 - [c32]Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf:
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2022: 116:1-116:6 - [c31]Hao Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. CHI 2022: 162:1-162:22 - [c30]Alicia DeVos, Aditi Dhabalia, Hong Shen, Kenneth Holstein, Motahhare Eslami:
Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior. CHI 2022: 626:1-626:19 - [c29]Logan Stapleton, Devansh Saxena, Anna Kawakami, Tonya Nguyen, Asbjørn Ammitzbøll Flügge, Motahhare Eslami, Naja L. Holten Møller, Min Kyung Lee, Shion Guha, Kenneth Holstein, Haiyi Zhu:
Who Has an Interest in "Public Interest Technology"?: Critical Questions for Working with Local Governments & Impacted Communities. CSCW Companion 2022: 282-286 - [c28]Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu:
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. FAccT 2022: 473-484 - [c27]Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. FAccT 2022: 1162-1177 - [i16]Anna Kawakami, Venkatesh Sivaraman, Hao Fei Cheng, Logan Stapleton, Yanghuidi Cheng, Diana Qing, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, Kenneth Holstein:
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support. CoRR abs/2204.02310 (2022) - [i15]Charvi Rastogi, Liu Leqi, Kenneth Holstein, Hoda Heidari:
A Unifying Framework for Combining Complementary Strengths of Humans and ML toward Better Predictive Decision-Making. CoRR abs/2204.10806 (2022) - [i14]Logan Stapleton, Hao Fei Cheng, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions". CoRR abs/2204.13872 (2022) - [i13]Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu:
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. CoRR abs/2205.06922 (2022) - [i12]Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Kenneth Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. CoRR abs/2205.08928 (2022) - [i11]Amanda Coston, Anna Kawakami, Haiyi Zhu, Ken Holstein, Hoda Heidari:
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. CoRR abs/2206.14983 (2022) - [i10]Frederic Gmeiner, Kenneth Holstein, Nikolas Martelaro:
Team Learning as a Lens for Designing Human-AI Co-Creative Systems. CoRR abs/2207.02996 (2022) - [i9]Kenneth Holstein, Maria De-Arteaga, Lakshmi Tumati, Yanghuidi Cheng:
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables. CoRR abs/2207.13834 (2022) - [i8]Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein:
Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice. CoRR abs/2210.03709 (2022) - [i7]Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein:
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. CoRR abs/2212.05588 (2022) - 2021
- [j3]Kexin Bella Yang, Tomohiro Nagashima, Junhui Yao, Joseph Jay Williams, Kenneth Holstein, Vincent Aleven:
Can Crowds Customize Instructional Materials with Minimal Expert Guidance?: Exploring Teacher-guided Crowdsourcing for Improving Hints in an AI-based Tutor. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 119:1-119:24 (2021) - [j2]Hong Shen, Alicia DeVos, Motahhare Eslami, Kenneth Holstein:
Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 433:1-433:29 (2021) - [c26]LuEttaMae Lawrence, Kenneth Holstein, Susan R. Berman, Stephen Fancsali, Bruce M. McLaren, Steven Ritter, Vincent Aleven:
Teachers' Orchestration Needs During the Shift to Remote Learning. EC-TEL 2021: 347-351 - [c25]Kexin Bella Yang, Xuejian Wang, Vanessa Echeverría, LuEttaMae Lawrence, Kenneth Holstein, Nikol Rummel, Vincent Aleven:
SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research. EDM 2021 - [i6]Kenneth Holstein, Vincent Aleven:
Designing for human-AI complementarity in K-12 education. CoRR abs/2104.01266 (2021) - [i5]Kenneth Holstein, Shayan Doroudi:
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? CoRR abs/2104.12920 (2021) - [i4]Hong Shen, Alicia DeVos, Motahhare Eslami, Kenneth Holstein:
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors. CoRR abs/2105.02980 (2021) - [i3]Donghoon Shin, Sachin Grover, Kenneth Holstein, Adam Perer:
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment. CoRR abs/2111.02626 (2021) - 2020
- [c24]Kenneth Holstein, Erik Harpstead, Rebecca Gulotta, Jodi Forlizzi:
Replay Enactments: Exploring Possible Futures through Historical Data. Conference on Designing Interactive Systems 2020: 1607-1618 - [c23]Stephen E. Fancsali, Kenneth Holstein, Michael Sandbothe, Steven Ritter, Bruce M. McLaren, Vincent Aleven:
Towards Practical Detection of Unproductive Struggle. AIED (2) 2020: 92-97 - [c22]Kenneth Holstein, Vincent Aleven, Nikol Rummel:
A Conceptual Framework for Human-AI Hybrid Adaptivity in Education. AIED (1) 2020: 240-254 - [c21]Pengcheng An, Kenneth Holstein, Bernice d'Anjou, Berry Eggen, Saskia Bakker:
The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms. CHI 2020: 1-17 - [c20]Vanessa Echeverría, Kenneth Holstein, Jennifer Huang, Jonathan Sewall, Nikol Rummel, Vincent Aleven:
Exploring Human-AI Control Over Dynamic Transitions Between Individual and Collaborative Learning. EC-TEL 2020: 230-243 - [c19]Shayan Doroudi, Kenneth Holstein, Petr Johanes:
Probing Learning Scientists' Beliefs About Learning and Science. ICLS 2020 - [i2]Pengcheng An, Kenneth Holstein, Bernice d'Anjou, Berry Eggen, Saskia Bakker:
The TA Framework: Designing Real-time Teaching Augmentation for K-12 Classrooms. CoRR abs/2001.02985 (2020)
2010 – 2019
- 2019
- [j1]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity. J. Learn. Anal. 6(2) (2019) - [c18]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms. AIED (1) 2019: 157-171 - [c17]Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach:
Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? CHI 2019: 600 - [c16]Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven:
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations. EDM 2019 - 2018
- [c15]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms. AIED (1) 2018: 154-168 - [c14]Kenneth Holstein, Zac Yu, Jonathan Sewall, Octav Popescu, Bruce M. McLaren, Vincent Aleven:
Opening Up an Intelligent Tutoring System Development Environment for Extensible Student Modeling. AIED (1) 2018: 169-183 - [c13]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Informing the Design of Teacher Awareness Tools through Causal Alignment Analysis. ICLS 2018 - [c12]Anouschka van Leeuwen, Nikol Rummel, Kenneth Holstein, Bruce M. McLaren, Vincent Aleven, Inge Molenaar, Carolien Knoop van Campen, Baruch B. Schwarz, Naomi Prusak, Osama Swidan, Avi Segal, Kobi Gal:
Orchestration tools for teachers in the context of individual and collaborative learning: what information do teachers need and what do they do with it? ICLS 2018 - [c11]Kenneth Holstein, Gena Hong, Mera Tegene, Bruce M. McLaren, Vincent Aleven:
The classroom as a dashboard: co-designing wearable cognitive augmentation for K-12 teachers. LAK 2018: 79-88 - [c10]Yanjin Long, Kenneth Holstein, Vincent Aleven:
What exactly do students learn when they practice equation solving?: refining knowledge components with the additive factors model. LAK 2018: 399-408 - [i1]Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé III, Miroslav Dudík, Hanna M. Wallach:
Improving fairness in machine learning systems: What do industry practitioners need? CoRR abs/1812.05239 (2018) - 2017
- [c9]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Intelligent tutors as teachers' aides: exploring teacher needs for real-time analytics in blended classrooms. LAK 2017: 257-266 - [c8]Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
SPACLE: investigating learning across virtual and physical spaces using spatial replays. LAK 2017: 358-367 - 2016
- [c7]Vincent Aleven, Franceska Xhakaj, Kenneth Holstein, Bruce M. McLaren:
Developing a Teacher Dashboard For Use with Intelligent Tutoring Systems. IWTA@EC-TEL 2016: 15-23 - [c6]Kenneth Holstein, Franceska Xhakaj, Vincent Aleven, Bruce M. McLaren:
Luna: A Dashboard for Teachers Using Intelligent Tutoring Systems. IWTA@EC-TEL 2016: 18-14 - [c5]Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data. EDM (Workshops) 2016 - [c4]Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. EDM 2016: 70-77 - 2015
- [c3]Christopher G. Lucas, Kenneth Holstein, Michael Pacer:
Inferring causal structure and hidden causes from event sequences. CogSci 2015 - [c2]Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning. EDM 2015: 376-379 - 2014
- [c1]Christopher G. Lucas, Kenneth Holstein, Charles Kemp:
Discovering hidden causes using statistical evidence. CogSci 2014
Coauthor Index
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