Stephen Fancsali

发表

Predicting Standardized Test Scores from Cognitive Tutor Interactions

Steven Ritter, Ambarish Joshi, Stephen Fancsali, 2013, EDM.

How Mastery Learning Works at Scale

Michael Yudelson, Steven Ritter, Stephen Fancsali, 2016, L@S.

LiveHint: Intelligent Digital Support for Analog Learning Experiences

Steven Ritter, Amy Lewis, Victoria Fisher, 2020, iTextbooks@AIED.

Special Track on Intelligent Learning Technologies

Benjamin Nye, Stephen Fancsali, 2018, FLAIRS Conference.

Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations

Vincent Aleven, Jingyu Wang, John C. Stamper, 2019, EDM.

Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere

Vasile Rus, Michael Yudelson, Steven Ritter, 2016, EDM.

Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing

Steven Ritter, Stephen Fancsali, Tristan Nixon, 2013, EDM.

Carnegie Learning's Cognitive Tutor

Steven Ritter, Stephen Fancsali, 2015, EDM.

Constructing Variables Th at Support Causal Inference

Stephen Fancsali, Stephen E. Fancsali, 2013 .

Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results

Stephen Fancsali, 2012, EDM.

Assessments That Care About Student Learning

Steven Ritter, Stephen Fancsali, Stephen E. Fancsali, 2018, ITS Workshops.

Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra

Stephen Fancsali, Stephen E. Fancsali, 2014, EDM.

Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions

Steven Ritter, Ambarish Joshi, Stephen Fancsali, 2014, EDM.

The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems

Steven Ritter, Mitchell Nathan, Virginia Clinton, 2014, EDM.

MATHia X: The Next Generation Cognitive Tutor

Steven Ritter, Stephen Fancsali, Stephen E. Fancsali, 2016, EDM.

What's a Textbook? Envisioning the 21st Century K-12 Text

Steven Ritter, Amy Lewis, Stephen Fancsali, 2019, iTextbooks@AIED.

Revealing the Learning in Learning Curves

R. Charles Murray, Steven Ritter, Stephen Fancsali, 2013, AIED.

Intelligent Instructional Hand Offs

Michael Yudelson, Steven Ritter, Stephen Fancsali, 2018, EDM.

Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results

Stephen Fancsali, 2011, EDM.

Untapped resources: can intellectual diversity promote cultural diversity in technology?

Laura McGinnis, Stephen Fancsali, 2005, 2005 Richard Tapia Celebration of Diversity in Computing Conference.

Context personalization, preferences, and performance in an intelligent tutoring system for middle school mathematics

Steven Ritter, Stephen Fancsali, Stephen E. Fancsali, 2014, LAK.

Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems

Timothy J. Nokes-Malach, Michael Yudelson, Steven Ritter, 2014, CogSci.

Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring

John C. Stamper, Steven Ritter, Stephen Fancsali, 2013, AIED Workshops.

Variable construction for predictive and causal modeling of online education data

Stephen Fancsali, Stephen E. Fancsali, 2011, LAK.

Implementation Factors and Outcomes for Intelligent Tutoring Systems: A Case Study of Time and Efficiency with Cognitive Tutor Algebra

Michael Yudelson, Steven Ritter, Stephen Fancsali, 2016, FLAIRS.

Simulated Students, Mastery Learning, and Improved Learning Curves for Real-World Cognitive Tutors

Steven Ritter, Stephen Fancsali, Tristan Nixon, 2013, AIED Workshops.

An Analysis of Human Tutors' Actions in Tutorial Dialogues

Vasile Rus, Michael Yudelson, Steven Ritter, 2017, FLAIRS.

Towards Integrating Human and Automated Tutoring Systems

Michael Yudelson, Steven Ritter, Stephen Fancsali, 2016, EDM.

Better Data Beats Big Data

Michael Yudelson, Steven Ritter, Ambarish Joshi, 2014, EDM.

Comorbid science? 1

Richard Scheines, David Danks, Clark Glymour, 2010, Behavioral and Brain Sciences.

Confounding Carelessness? Exploring Causal Relationships Between Carelessness, Affect, Behavior, and Learning in Cognitive Tutor Algebra Using Graphical Causal Models

Stephen Fancsali, Stephen E. Fancsali, 2015, EDM.

The Complex Dynamics of Aggregate Learning Curves

Steven Ritter, Stephen Fancsali, Tristan Nixon, 2013, EDM.

Using embedded formative assessment to predict state summative test scores

Steven Ritter, Yanyan Tan, Stephen Fancsali, 2018, LAK.

Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements

Josh Fisher, Steven Ritter, Stephen Fancsali, 2021, AIED.

Teachers' Orchestration Needs During the Shift to Remote Learning

Vincent Aleven, LuEttaMae Lawrence, Bruce M. McLaren, 2021, EC-TEL.