Reva Freedman

dblp:50/1716 · DBLP profile ↗
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16ranked-venue papers
12as first author
3since 2021 · last 2025
0000-0002-0823-6961ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 13 · 10 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 13 · 10 first-author · 3 since 2021Artificial intelligence and machine learning · 2 · 1 first-author
YearPublicationVenuePosition
2025 Using Minigames to Teach Computer Architecture
Reva Freedman, Ian Sullivan, Annalise Brockmann, Minhaz Patel
ITS (1)1
2023 Teaching Cardiovascular Physiology with a Minigame-Based ITS
Reva Freedman, Lucas Edwards, Ian Sullivan, Annalise Brockmann, Dean Labarbera, Virginia Naples
ITS1
2022 Gamification, User-Centered Design and Learning Objectives as the Basis for a Minigame-Based Cardiovascular Anatomy ITS
Reva Freedman, Virginia Naples, Ian Sullivan, Lucas Edwards, Dean Labarbera
ITS1
2020 Reducing Cognitive Load for Anatomy Students with a Multimodal ITS Platform
Reva Freedman, Ben Kluga, Dean Labarbera, Zachary Hueneke, Virginia Naples
ITS1
2020 Using an Operating Systems Class to Strengthen Students' Knowledge of C++
abstract
Operating systems is the last required course in our undergraduate Computer Science major. Although our students have had two semesters of programming in C++, one in assembler, and a semester of data structures using the C++ Standard Template Library, many of them have weak mastery of some important programming topics. In addition, they have had minimal exposure to using these constructs with real world data structures. In this paper we describe how we have used the assignments in a Linux-based Operating Systems course to remedy these deficiencies while teaching a full semester of OS content. Assignments include retrieving data via standard API calls and from /proc; process management, including fork, wait and system; building a microshell with fork/exec and pipe/dup; semaphore handling; and building an OS simulator. We have rewritten these assignments to provide additional practice with data type conversion, pointers and memory management, file handling, classes and subclasses, and the use of vectors, maps and other data structures in the STL.
Reva Freedman
SIGCSE1
2015 Comparison of Expert Tutors Through Syntactic Analysis of Transcripts
Reva Freedman, Douglas Krieghbaum
AIED1
2014 Relationship between Student Writing Complexity and Physics Learning in a Text-Based ITS
Reva Freedman, Douglas Krieghbaum
Intelligent Tutoring Systems1
2013 On the Benefits (or Not) of a Clustering Algorithm in Student Tracking
Reva Freedman, Nathalie Japkowicz
AIED1
2009 Digital PreProcessing of Speech for Feature Identification
Reva Freedman, Adam Scovel, Lichuan Liu
CAINE1
2006 An intelligent tutoring system that generates a natural language dialogue using dynamic multi-level planning
Chong-Woo Woo, Martha W. Evens, Reva Freedman, Michael Glass, Leemseop Shim, Yuemei Zhang, Yujian Zhou, Joel A. Michael
Artif. Intell. Medicine3
2005 Implementing Analogies Using APE Rules in an Electronic Tutoring System
Evelyn Lulis, Reva Freedman, Martha W. Evens
AIED2
2004 Workshop on Dialog-Based Intelligent Tutoring Systems: State of the Art and New Research Directions
Neil T. Heffernan, Peter M. Hastings, Gregory Aist, Vincent Aleven, Ivon Arroyo, Paul Brna, Mark G. Core, Martha W. Evens, Reva Freedman, Michael Glass, Arthur C. Graesser, Kenneth R. Koedinger, Pamela W. Jordan, Diane J. Litman, Evelyn Lulis, Helen Pain, Carolyn P. Rosé, Beverly P. Woolf, Claus Zinn
Intelligent Tutoring Systems9
2000 ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner
Reva Freedman, Carolyn P. Rosé, Michael A. Ringenberg, Kurt VanLehn
Intelligent Tutoring Systems1
2000 Fading and Deepening: The Next Steps for Andes and other Model-Tracing Tutors
Kurt VanLehn, Reva Freedman, Pamela W. Jordan, R. Charles Murray, Remus Osan, Michael A. Ringenberg, Carolyn P. Rosé, Kay G. Schulze, Robert Shelby, Donald Treacy, Anders Weinstein, Mary Wintersgill
Intelligent Tutoring Systems2
1998 System Demonstration Content Planning As The Basis For An Intelligent Tutoring System
Reva Freedman, Stefan Brandle, Michael Glass, Yujian Zhou, Martha W. Evens
INLG1
1996 Generating and Revising Hierarchical Multi-turn Text Plans in an ITS
Reva Freedman, Martha W. Evens
Intelligent Tutoring Systems1