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Ido Roll
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2020 – today
- 2024
- [j11]Ilana Ram
, Sara Harris, Ido Roll:
Choice-based Personalization in MOOCs: Impact on Activity and Perceived Value. Int. J. Artif. Intell. Educ. 34(2): 376-394 (2024) - 2023
- [j10]Letitia Englund
Interface and interaction design for an online, asynchronous peer instruction tool. Interact. Learn. Environ. 31(5): 2809-2829 (2023) - [c43]Janan Saba
The Development of Multivariable Causality Strategy: Instruction or Simulation First? AIED 2023: 41-53 - [c42]Jonathan Ben-David, Ido Roll:
Desirable Difficulties? The Effects of Spaced and Interleaved Practice in an Educational Game. AIED (Posters/Late Breaking Results/...) 2023: 136-141 - [c41]Jade Maï Cock
Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains. AIED (Posters/Late Breaking Results/...) 2023: 224-229 - 2022
- [j9]Heather L. O'Brien, Ido Roll
Rethinking (Dis)engagement in human-computer interaction. Comput. Hum. Behav. 128: 107109 (2022) - 2021
- [j8]Kyoungwon Seo
Active learning with online video: The impact of learning context on engagement. Comput. Educ. 165: 104132 (2021) - [c40]Ido Roll, Ilana Ram, Sara Harris:
Personalization at Scale: Making Learning Personally Relevant in a Climate Science MOOC. L@S 2021: 263-266 - [e3]Ido Roll
Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12748, Springer 2021, ISBN 978-3-030-78291-7 [contents] - [e2]Ido Roll
Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12749, Springer 2021, ISBN 978-3-030-78269-6 [contents] - 2020
- [c39]Kyoungwon Seo
Artificial Intelligence for Video-based Learning at Scale. L@S 2020: 215-217
2010 – 2019
- 2019
- [c38]Charleen Brand
What Inquiry with Virtual Labs Can Learn from Productive Failure: A Theory-Driven Study of Students' Reflections. AIED (2) 2019: 30-35 - [c37]Matin Yarmand, Dongwook Yoon, Samuel Dodson
"Can you believe [1: 21]?!": Content and Time-Based Reference Patterns in Video Comments. CHI 2019: 489 - [c36]Matthew Fong, Samuel Dodson
Instructors Desire Student Activity, Literacy, and Video Quality Analytics to Improve Video-based Blended Courses. L@S 2019: 7:1-7:10 - 2018
- [j7]Ido Roll
Learning at Scale. Int. J. Artif. Intell. Educ. 28(4): 471-477 (2018) - [c35]Sarah Perez, Jonathan Massey-Allard, Joss Ives, Deborah Butler, Doug A. Bonn, Jeff Bale, Ido Roll
Control of Variables Strategy Across Phases of Inquiry in Virtual Labs. AIED (2) 2018: 271-275 - [c34]Samuel Dodson
Active Viewing: A Study of Video Highlighting in the Classroom. CHIIR 2018: 237-240 - [c33]Matthew Fong, Samuel Dodson
ViDeX: A Platform for Personalizing Educational Videos. JCDL 2018: 331-332 - [c32]Samuel Dodson
An active viewing framework for video-based learning. L@S 2018: 24:1-24:4 - 2017
- [j6]Lauren Fratamico, Cristina Conati, Samad Kardan, Ido Roll
Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity. Int. J. Artif. Intell. Educ. 27(2): 320-352 (2017) - [c31]Sarah Perez, Jonathan Massey-Allard, Deborah Butler, Joss Ives, Doug A. Bonn, Nikki Yee, Ido Roll
Identifying Productive Inquiry in Virtual Labs Using Sequence Mining. AIED 2017: 287-298 - [c30]Lauren Fratamico, Sarah Perez, Ido Roll
A Visual Approach towards Knowledge Engineering and Understanding How Students Learn in Complex Environments. L@S 2017: 13-22 - 2016
- [j5]Vincent Aleven, Ido Roll
Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. 26(1): 205-223 (2016) - [j4]Ido Roll
Evolution and Revolution in Artificial Intelligence in Education. Int. J. Artif. Intell. Educ. 26(2): 582-599 (2016) - [c29]Matthew Fong, Gregor Miller, Xueqin Zhang, Ido Roll, Christina Hendricks, Sidney S. Fels:
An Investigation of Textbook-Style Highlighting for Video. Graphics Interface 2016: 201-208 - [e1]Jeff Haywood, Vincent Aleven, Judy Kay, Ido Roll:
Proceedings of the Third ACM Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016. ACM 2016, ISBN 978-1-4503-3726-7 [contents] - 2015
- [c28]Cristina Conati, Lauren Fratamico, Samad Kardan, Ido Roll
Comparing Representations for Learner Models in Interactive Simulations. AIED 2015: 74-83 - [c27]Ido Roll
Evaluating the Relationship Between Course Structure, Learner Activity, and Perceived Value of Online Courses. L@S 2015: 385-388 - 2014
- [j3]Ido Roll
Understanding, evaluating, and supporting self-regulated learning using learning analytics. J. Learn. Anal. 2(1): 7-12 (2014) - [c26]Benjamin S. Goldberg, Robert A. Sottilare, Ido Roll, Susanne P. Lajoie, Eric G. Poitras, Gautam Biswas, James René Segedy, John S. Kinnebrew, Elaine Stampfer Wiese, Yanjin Long, Vincent Aleven, Kenneth R. Koedinger, Phil Winne:
Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems. ICLS 2014 - [c25]Steven Lonn, Christopher Brooks, Zachary A. Pardos, Barry W. Peddycord III, Emily Schneider, Ido Roll, Ashley Shaw:
MOOCShop 2014. ICLS 2014 - [c24]Ido Roll, Adriana Briseno, Nikki Yee, Ashley Welsh:
Not a Magic Bullet: The Effect of Scaffolding on Knowledge and Attitudes in Online Simulations. ICLS 2014 - [c23]Samad Kardan, Ido Roll
The Usefulness of Log Based Clustering in a Complex Simulation Environment. Intelligent Tutoring Systems 2014: 168-177 - [c22]Ido Roll
Students' Adaptation and Transfer of Strategies across Levels of Scaffolding in an Exploratory Environment. Intelligent Tutoring Systems 2014: 348-353 - 2013
- [c21]Ido Roll, Natasha G. Holmes, James Day, Anthony H. K. Park, D. A. Bonn:
Process and Outcome Benefits for Orienting Students to Analyze and Reflect on Available Data in Productive Failure Activities. AIED Workshops 2013 - 2012
- [c20]Paulo Blikstein, Marcelo Worsley, Bruce Sherin, Ryan Baker, Matthew Berland, Taylor Martin, Ido Roll, Vincent Aleven, Ken Koedinger, Arnon Hershkovitz:
Building Bridges between Learning Analytics, Educational Data Mining and Core Learning Sciences Perspectives. ICLS 2012 - 2011
- [c19]Ido Roll
Metacognitive Practice Makes Perfect: Improving Students' Self-Assessment Skills with an Intelligent Tutoring System. AIED 2011: 288-295 - [c18]Ido Roll, Vincent Aleven, Kenneth R. Koedinger:
Outcomes and Mechanisms of Transfer in Invention Activities. CogSci 2011 - 2010
- [c17]Ido Roll, Vincent Aleven, Kenneth R. Koedinger:
Analysis of students' actions during online invention activities - seeing the thinking through the numbers. ICLS 2010: 49-52 - [c16]Ido Roll, Manolis Mavrikis, Sergio Gutiérrez Santos:
Striking a balance between free and guided exploration - conceptualizing support for exploratory learning environments. ICLS 2010: 507-508 - [c15]Ido Roll
The Invention Lab: Using a Hybrid of Model Tracing and Constraint-Based Modeling to Offer Intelligent Support in Inquiry Environments. Intelligent Tutoring Systems (1) 2010: 115-124
2000 – 2009
- 2008
- [j2]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Ido Roll
Developing a generalizable detector of when students game the system. User Model. User Adapt. Interact. 18(3): 287-314 (2008) - 2007
- [c14]Ido Roll, Vincent Aleven, Bruce M. McLaren, Kenneth R. Koedinger:
Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring. AIED 2007: 203-210 - [c13]Ido Roll, Vincent Aleven, Roger Azevedo, Ryan Shaun Joazeiro de Baker, Gautam Biswas, Cristina Conati, Amanda Harris, Rosemary Luckin, Antonija Mitrovic, Tom Murray, Barbara White, Philip H. Winne:
Workshop on Metacognition and Self-Regulated Learning in ITSs. AIED 2007: 722 - 2006
- [j1]Vincent Aleven, Bruce M. McLaren, Ido Roll, Kenneth R. Koedinger:
Toward Meta-cognitive Tutoring: A Model of Help Seeking with a Cognitive Tutor. Int. J. Artif. Intell. Educ. 16(2): 101-128 (2006) - [c12]Ido Roll
The Help Tutor: Does Metacognitive Feedback Improve Students' Help-Seeking Actions, Skills and Learning? Intelligent Tutoring Systems 2006: 360-369 - [c11]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger, Shelley Evenson, Ido Roll
Adapting to When Students Game an Intelligent Tutoring System. Intelligent Tutoring Systems 2006: 392-401 - [c10]Ryan Shaun Joazeiro de Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll
Generalizing Detection of Gaming the System Across a Tutoring Curriculum. Intelligent Tutoring Systems 2006: 402-411 - [c9]Ido Roll
Towards Teaching Metacognition: Supporting Spontaneous Self-Assessment. Intelligent Tutoring Systems 2006: 738-740 - 2005
- [c8]Vincent Aleven, Ido Roll, Bruce M. McLaren, Eunjeong Ryu, Kenneth R. Koedinger:
An architecture to combine meta-cognitive and cognitive tutoring: Pilot testing the Help Tutor. AIED 2005: 17-24 - [c7]Ryan Shaun Baker, Ido Roll, Albert T. Corbett, Kenneth R. Koedinger:
Do Performance Goals Lead Students to Game the System? AIED 2005: 57-64 - [c6]Ryan Shaun Baker, Albert T. Corbett, Kenneth R. Koedinger, Ido Roll
Detecting When Students Game the System, Across Tutor Subjects and Classroom Cohorts. User Modeling 2005: 220-224 - [c5]Ido Roll
Modeling Students' Metacognitive Errors in Two Intelligent Tutoring Systems. User Modeling 2005: 367-376 - 2004
- [c4]Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kenneth R. Koedinger:
What Goals Do Students Have When Choosing the Actions They Perform? ICCM 2004: 380-381 - [c3]Vincent Aleven, Bruce M. McLaren, Ido Roll
Toward Tutoring Help Seeking: Applying Cognitive Modeling to Meta-cognitive Skills. Intelligent Tutoring Systems 2004: 227-239 - [c2]Ido Roll
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems. Intelligent Tutoring Systems 2004: 854-856 - [c1]Ido Roll
Promoting Effective Help-Seeking Behavior Through Declarative Instruction. Intelligent Tutoring Systems 2004: 857-859
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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