Korinn S. Ostrow

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

Ziwei Zhou

Juan Miguel L. Andres-Bray

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

Exploring Common Trends in Online Educational Experiments.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

Yiqiu Zhou

Stephen Hutt

Ryan S. Baker

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

2020

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

[BibT_eX]

[DOI]

Paul Salvador Inventado

Peter Scupelli

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

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

[BibT_eX]

[DOI]

Renah Razzaq

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

2019

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

[BibT_eX]

[DOI]

Xiwen Lu

Sharris Gayle Francisco Inventado

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

2018

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

[BibT_eX]

[DOI]

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

Using Design Patterns for Math Preservice Teacher Education.

[BibT_eX]

[DOI]

Paul Salvador Inventado

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yan Wang

J. Learn. Anal., July, 2017

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

[BibT_eX]

[DOI]

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

2016

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Studying Learning at Scale with the ASSISTments TestBed.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Hint Availability Slows Completion Times in Summer Work.

[BibT_eX]

[DOI]

Paul Salvador Inventado

Peter Scupelli

Eric Van Inwegen

Neil Thomas Heffernan III

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

2015

Using and Designing Platforms for In Vivo Education Experiments.

[BibT_eX]

[DOI]

CoRR, 2015

Using and Designing Platforms for In Vivo Educational Experiments.

[BibT_eX]

[DOI]

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

Improving Student Modeling Through Partial Credit and Problem Difficulty.

[BibT_eX]

[DOI]

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

Optimizing Partial Credit Algorithms to Predict Student Performance.

[BibT_eX]

[DOI]

Christopher Donnelly

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

Enhancing Student Motivation and Learning Within Adaptive Tutors.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

The Role of Student Choice Within Adaptive Tutoring.

[BibT_eX]

[DOI]

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

Motivating Learning in the Age of the Adaptive Tutor.

[BibT_eX]

[DOI]

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

2014

Promoting Growth Mindset Within Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]