VLDB 2026 Research / reviewers in the wild / expert
Rod D. Roscoe
dblp:31/10847
· DBLP profile ↗
12ranked-venue papers
3as first author
4since 2021 · last 2025
0000-0001-8327-4012ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 10 · 2 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 8 · 2 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | L2 English and Culture as Factors in College Math AchievementabstractLiteracy and mathematics have been shown to be related to each other across languages, ages, and levels of proficiency (e.g., [5, 11, 6, 19, 29, 35, 39, 43, 46, 49, 53, 57]). More specifically, math instruction is further complicated and becomes more difficult when occurring in a non-native language of instruction (e.g., [2, 8, 16, 18, 20, 31, 41, 50]). In this paper, we perform a linear mixed-effects regression analysis on large-scale institutional student data to test the impact of a non-native, and in some cases - new, language of instruction on students' success as measured by course grades. Specifically, we compare the relationship between achievement in math and English classes for Chinese international students (who previously received math instruction in Chinese dialects), relative to Indian international students (who previously received math instruction in English), relative to a baseline of American students of varying ethnic backgrounds, who have previously received math instruction in English, and for many of whom it is a native language. Findings show that language barriers do not impede international students' math achievement. Future work should further characterize the factors that contribute to students' math achievement, overcoming any limitations that may be posed by language barriers. Jiachen Gong, Maria Goldshtein, Tracy Arner, Rod D. Roscoe, Danielle S. McNamara |
L@S | 5 |
| 2024 | Profiles of Performance: Game-Based Assessment of Reading Comprehension Skill
Katerina Christhilf, Rod D. Roscoe, Danielle S. McNamara |
ITS (2) | 2 |
| 2023 | iSTART: Adaptive Comprehension Strategy Training and Stealth Literacy AssessmentabstractThe Interactive Strategy Training for Active Reading and Thinking (iSTART) game-based intelligent tutoring system (ITS) was developed with a foundation of comprehension theory and principles of learning science to improve students’ comprehension of complex scientific texts. iSTART has been shown to improve reading comprehension for learners from middle school through adulthood, particularly lower knowledge readers, through strategy instruction and game-based practice. This paper describes iSTART, the theoretical foundations that have guided iSTART development, and evidence for the feasibility of game-based practice to improve learning outcomes. This paper also introduces a novel method of assessing students’ reading comprehension through game-based literacy assessments that have been incorporated in iSTART. The development of these stealth assessments was guided by recent work emphasizing the need for rapid, dynamic, and low stakes assessments that evaluate students’ reading skills in the context of brief, dynamic games. Stealth assessments can generate estimates of multiple aspects of students’ reading comprehension quickly and within a motivating environment. The work described in this paper is a promising method to assess students’ literacy in an unobtrusive and authentic way that may lead to improved learning outcomes for students. Danielle S. McNamara, Tracy Arner, Reese Butterfuss, Micah Watanabe, Natalie Newton, Kathryn S. McCarthy, Laura K. Allen, Rod D. Roscoe |
Int. J. Hum. Comput. Interact. | 9 |
| 2023 | Automated strategy feedback can improve the readability of physicians' electronic communications to simulated patients
Rod D. Roscoe, Renu Balyan, Danielle S. McNamara, Michelle P. Banawan, Dean Schillinger |
Int. J. Hum. Comput. Stud. | 1 |
| 2019 | Checking It Twice: Does Adding Spelling and Grammar Checkers Improve Essay Quality in an Automated Writing Tutor?
Kathryn S. McCarthy, Rod D. Roscoe, Aaron D. Likens, Danielle S. McNamara |
AIED (1) | 2 |
| 2016 | {ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses
Laura K. Allen, Matthew E. Jacovina, Mihai Dascalu, Rod D. Roscoe, Kevin Kent, Aaron D. Likens, Danielle S. McNamara |
EDM | 4 |
| 2016 | Toward Revision-Sensitive Feedback in Automated Writing Evaluation
Rod D. Roscoe, Matthew E. Jacovina, Laura K. Allen, Adam C. Johnson, Danielle S. McNamara |
EDM | 1 |
| 2015 | How to Visualize Success: Presenting Complex Data in a Writing Strategy Tutor
Matthew E. Jacovina, Erica L. Snow, Laura K. Allen, Rod D. Roscoe, Jennifer L. Weston-Sementelli, Jianmin Dai, Danielle S. McNamara |
EDM | 4 |
| 2013 | Using Automated Indices of Cohesion to Evaluate an Intelligent Tutoring System and an Automated Writing Evaluation System
Scott A. Crossley, Laura K. Varner, Rod D. Roscoe, Danielle S. McNamara |
AIED | 3 |
| 2013 | Feedback and Revising in an Intelligent Tutoring System for Writing Strategies
Rod D. Roscoe, Erica L. Snow, Danielle S. McNamara |
AIED | 1 |
| 2011 | Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features
Scott A. Crossley, Rod D. Roscoe, Danielle S. McNamara |
AIED | 2 |
| 2008 | Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments
Hogyeong Jeong, Rod D. Roscoe, John Wagster, Gautam Biswas, Daniel L. Schwartz 0001 |
Intelligent Tutoring Systems | 3 |