Korinn S. Ostrow

According to our database, Korinn S. Ostrow authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multiple Choice vs. Fill-In Problems: The Trade-off Between Scalability and Learning.

Ashish Gurung, Kirk Vanacore, Andrew A. McReynolds, Korinn S. Ostrow, Eamon Worden, Adam C. Sales, Neil T. Heffernan

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2022

Transformer-Based Automated Content-Standards Alignment: A Pilot Study.

Ziwei Zhou, Korinn S. Ostrow

Proceedings of the HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games, 2022

Exploring Common Trends in Online Educational Experiments.

Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil Heffernan

Proceedings of the 15th International Conference on Educational Data Mining, 2022

2021

A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners.

Yiqiu Zhou, Juan Miguel L. Andres-Bray, Stephen Hutt, Korinn Ostrow, Ryan S. Baker

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Effect of Immediate Feedback on Math Achievement at the High School Level.

Renah Razzaq, Korinn S. Ostrow, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Understanding the Complexities of Chinese Word Acquisition within an Online Learning Platform.

Xiwen Lu, Korinn S. Ostrow, Neil T. Heffernan

Proceedings of the 11th International Conference on Computer Supported Education, 2019

Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance.

Yang Jiang, Ma. Victoria Almeda, Shimin Kai, Ryan Baker, Korinn Ostrow, Paul Salvador Inventado, Peter Scupelli

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing.

Shayan Doroudi, Joseph Jay Williams, Juho Kim, Thanaporn Patikorn, Korinn Ostrow, Douglas Selent, Neil T. Heffernan, Thomas T. Hills, Carolyn P. Rosé

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Using Design Patterns for Math Preservice Teacher Education.

Paul Salvador Inventado, Sharris Gayle Francisco Inventado, Noboru Matsuda, Yeping Li, Peter Scupelli, Korinn Ostrow, Neil T. Heffernan, Shihfen Tu, Craig Mason, Mary Logue, Pat McGuire

Proceedings of the 23rd European Conference on Pattern Languages of Programs, 2018

Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales Within ASSISTments.

Korinn S. Ostrow, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

How Flexible Is Your Data? A Comparative Analysis of Scoring Methodologies across Learning Platforms in the Context of Group Differentiation.

Korinn S. Ostrow, Yan Wang, Neil T. Heffernan

J. Learn. Anal., July, 2017

Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization.

Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

The Future of Adaptive Learning: Does the Crowd Hold the Key?

Neil T. Heffernan, Korinn S. Ostrow, Kim M. Kelly, Douglas Selent, Eric Van Inwegen, Xiaolu Xiong, Joseph Jay Williams

Int. J. Artif. Intell. Educ., 2016

The Opportunity Count Model: A Flexible Approach to Modeling Student Performance.

Yan Wang, Korinn Ostrow, Seth Adjei, Neil T. Heffernan

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Studying Learning at Scale with the ASSISTments TestBed.

Korinn S. Ostrow, Neil T. Heffernan

Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Enhancing the efficiency and reliability of group differentiation through partial credit.

Yan Wang, Korinn Ostrow, Joseph Beck, Neil T. Heffernan

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

The assessment of learning infrastructure (ALI): the theory, practice, and scalability of automated assessment.

Korinn S. Ostrow, Douglas Selent, Yan Wang, Eric Van Inwegen, Neil T. Heffernan, Joseph Jay Williams

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Hint Availability Slows Completion Times in Summer Work.

Paul Salvador Inventado, Peter Scupelli, Eric Van Inwegen, Korinn Ostrow, Neil Thomas Heffernan III, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Mia Almeda

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Using and Designing Platforms for In Vivo Education Experiments.

Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan

CoRR, 2015

Using and Designing Platforms for In Vivo Educational Experiments.

Joseph Jay Williams, Korinn Ostrow, Xiaolu Xiong, Elena L. Glassman, Juho Kim, Samuel G. Maldonado, Na Li, Justin Reich, Neil T. Heffernan

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Improving Student Modeling Through Partial Credit and Problem Difficulty.

Korinn Ostrow, Christopher Donnelly, Seth Adjei, Neil T. Heffernan

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Optimizing Partial Credit Algorithms to Predict Student Performance.

Korinn Ostrow, Christopher Donnelly, Neil T. Heffernan

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Enhancing Student Motivation and Learning Within Adaptive Tutors.

Korinn Ostrow

Proceedings of the 8th International Conference on Educational Data Mining, 2015

The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial.

Charles Lang, Neil T. Heffernan, Korinn Ostrow, Yutao Wang

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Blocking Vs. Interleaving: Examining Single-Session Effects Within Middle School Math Homework.

Korinn Ostrow, Neil T. Heffernan, Cristina Heffernan, Zoe Peterson

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

The Role of Student Choice Within Adaptive Tutoring.

Korinn S. Ostrow, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

Motivating Learning in the Age of the Adaptive Tutor.

Korinn Ostrow

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Promoting Growth Mindset Within Intelligent Tutoring Systems.

Korinn S. Ostrow, Sarah E. Schultz, Ivon Arroyo

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments.

Korinn Ostrow, Neil T. Heffernan

Proceedings of the 7th International Conference on Educational Data Mining, 2014