Towards Automating Explanations. - Richard E. Cullingford; Myron W. Krueger; Mallory Selfridge; Marie A. Bienkowski (IJCAI, 1981)

Automated Explanations as a Component of a Computer-Aided Design System. - Richard E. Cullingford; Myron W. Krueger; Mallory Selfridge; Marie A. Bienkowski (IEEE Trans. Syst. Man Cybern., 1982)

Modeling Extemporaneous Elaboration. - Marie A. Bienkowski (EACL, 1987)

Book Review: Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge by Eitenne Wenger (Morgan Kaufmann Publishers). - Marie A. Bienkowski (SIGART Newsl., 1989)

Planning-based Integrated Decision Support Systems. - Marie A. Bienkowski; Marie desJardins (AIPS, 1994)

Demonstrating the Operational Feasibility of New Technologies: The ARPI IFDs. - Marie A. Bienkowski (IEEE Expert, 1995)

The Common Prototyping Environment: A Framework for Software Technology Integration, Evaluation, and Transition. - Mark H. Burstein; Richard E. Schantz; Marie A. Bienkowski; Marie desJardins; Stephen F. Smith (IEEE Expert, 1995)

Integrating AI Components for a Military Planning Application. - Marie A. Bienkowski; Louis J. Hoebel (AAAI/IAAI, 1998)

Review of "A Reader's Guide to Agent Literacy by Marie A. Bienkowski". - Marie A. Bienkowski (SIGART Bull., 1998)

Conference review: the 2000 SIGART/AAAI doctoral consortium. - Marie A. Bienkowski (Intell., 2000)

G1: 1 Scenarios: Envisioning the Context for WMTE in 2015. - Jeremy Roschelle; Charles Patton; John Brecht; Marie A. Bienkowski; Tak-Wai Chan (WMTE, 2005)

The learning registry: building a foundation for learning resource analytics. - Marie A. Bienkowski; John Brecht; Jim Klo (LAK, 2012)

The Learning Registry: Applying Social Metadata for Learning Resource Recommendations. - Marie A. Bienkowski; James Klo (Recommender Systems for Technology Enhanced Learning, 2014)

Making Computer Science a First-Class Object in the K-12 Next Generation Science Standards (Abstract Only). - Marie A. Bienkowski (SIGCSE, 2015)

Assessments for Computational Thinking in K-12 (Abstract Only). - Shuchi Grover; Marie A. Bienkowski; Eric Snow (SIGCSE, 2015)

Multimodal analytics to study collaborative problem solving in pair programming. - Shuchi Grover; Marie A. Bienkowski; Amir Tamrakar; Behjat Siddiquie; David A. Salter; Ajay Divakaran (LAK, 2016)

Assessing Problem-Solving Process At Scale. - Shuchi Grover; Marie A. Bienkowski; John Niekrasz; Matthias Hauswirth (L@S, 2016)

Deepening Learning in High School Computer Science through Practices in the NGSS (Abstract Only). - Marie A. Bienkowski (SIGCSE, 2016)

Data-Driven Generation of Rubric Parameters from an Educational Programming Environment. - Nicholas Diana; Michael Eagle; John C. Stamper; Shuchi Grover; Marie A. Bienkowski; Satabdi Basu (AIED, 2017)

Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help. - Nicholas Diana; Michael Eagle; John C. Stamper; Shuchi Grover; Marie A. Bienkowski; Satabdi Basu (EDM, 2017)

Principled Assessment of Student Learning in High School Computer Science. - Eric Snow; Daisy Rutstein; Marie A. Bienkowski; Yuning Xu (ICER, 2017)

An instructor dashboard for real-time analytics in interactive programming assignments. - Nicholas Diana; Michael Eagle; John C. Stamper; Shuchi Grover; Marie A. Bienkowski; Satabdi Basu (LAK, 2017)

A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming. - Shuchi Grover; Marie A. Bienkowski; Satabdi Basu; Michael Eagle; Nicholas Diana; John C. Stamper (LAK, 2017)

Studying Implementation of Secondary Introductory Computer Science: Pilot Results (Abstract Only). - Marie A. Bienkowski; Eric Snow (SIGCSE, 2017)

A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments. - Shuchi Grover; Satabdi Basu; Marie A. Bienkowski; Michael Eagle; Nicholas Diana; John C. Stamper (ACM Trans. Comput. Educ., 2017)

Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help. - Nicholas Diana; Michael Eagle; John C. Stamper; Shuchi Grover; Marie A. Bienkowski; Satabdi Basu (ICLS, 2018)

Data-driven generation of rubric criteria from an educational programming environment. - Nicholas Diana; Michael Eagle; John C. Stamper; Shuchi Grover; Marie A. Bienkowski; Satabdi Basu (LAK, 2018)

Pursuing the vision of CS for all: views from the front lines. - Carol Tate; Julie Remold; Marie A. Bienkowski (Inroads, 2018)

Learning from an Adaptive Learning System: Student Profiling among Middle School Students. - Shuai Wang 022; Mingyu Feng; Marie A. Bienkowski; Claire Christensen; Wei Cui (CSEDU (1), 2019)

Developing Implementation Measures for K-12 Computer Science Curriculum Materials. - Daisy W. Rutstein; Yuning Xu; Kevin W. McElhaney; Marie A. Bienkowski (SIGCSE, 2019)

Assessing computational thinking: an overview of the field. - David Weintrop; Daisy W. Rutstein; Marie A. Bienkowski; Steven McGee (Comput. Sci. Educ., 2021)

Digital learning solutions for improving adults' basic skills. - Robert Murphy; Shuai Wang 022; Marie A. Bienkowski; Ruchi Bhanot (Interact. Learn. Environ., 2024)