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Scott A. Crossley

Scott Andrew Crossley

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affiliation: Georgia State University, Atlanta, GA, USA

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2020 – today

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2024
[c93]
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Scott A. Crossley, Perpetual Baffour, Mihai Dascalu, Stefan Ruseti:
A World CLASSE Student Summary Corpus. BEA 2024: 99-107
[c92]
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Jessica Boyle, Scott A. Crossley:
Semantic Similarity of Teacher and Student Discourse Linked to Quality Ratings from Classroom Observations. EDM 2024
[c91]
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Scott A. Crossley, Joon Suh Choi, Wesley Morris, Langdon Holmes, David Joyner, Vaibhav Gupta:
Using Intelligent Texts in a Computer Science Classroom: Findings from an iTELL Deployment. CSEDM@EDM 2024
[c90]
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Scott A. Crossley, Yu Tian, Joon Suh Choi, Langdon Holmes, Wesley Morris:
Plagiarism Detection Using Keystroke Logs. EDM 2024
[c89]
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Langdon Holmes, Scott A. Crossley, Jiahe Wang, Weixuan Zhang:
The Cleaned Repository of Annotated Personally Identifiable Information. EDM 2024
[c88]
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Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott A. Crossley, Alex Endert:
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries. IUI 2024: 787-802
[i1]
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Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott A. Crossley, Alex Endert:
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries. CoRR abs/2403.04760 (2024)
2023
[c87]
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Scott A. Crossley, Joon Suh Choi, Yanisa Scherber, Mathis Lucka:
Using Large Language Models to Develop Readability Formulas for Educational Settings. AIED (Posters/Late Breaking Results/...) 2023: 422-427
[c86]
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Wesley Morris, Scott A. Crossley, Langdon Holmes, Chaohua Ou, Danielle S. McNamara, Mihai Dascalu:
Using Large Language Models to Provide Formative Feedback in Intelligent Textbooks. AIED (Posters/Late Breaking Results/...) 2023: 484-489
[c85]
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Langdon Holmes, Scott A. Crossley, Wesley Morris, Harshvardhan Sikka, Anne Trumbore:
Deidentifying Student Writing with Rules and Transformers. AIED (Posters/Late Breaking Results/...) 2023: 708-713
[c84]
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Perpetual Baffour, Tor Saxberg, Scott A. Crossley:
Analyzing Bias in Large Language Model Solutions for Assisted Writing Feedback Tools: Lessons from the Feedback Prize Competition Series. BEA@ACL 2023: 242-246
[c83]
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Scott A. Crossley, Sara Cushing, Scott Jarvis, Kristopher Kyle:
Crowd-Sourcing Human Ratings of Linguistic Production. CogSci 2023
[c82]
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Wesley Morris, Scott A. Crossley, Langdon Holmes, Anne Trumbore:
Using Transformer Language Models to Validate Peer-Assigned Essay Scores in Massive Open Online Courses (MOOCs). LAK 2023: 315-323
2022
[c81]
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Robert-Mihai Botarleanu, Mihai Dascalu, Laura K. Allen, Scott Andrew Crossley, Danielle S. McNamara:
Multitask Summary Scoring with Longformers. AIED (1) 2022: 756-761
[c80]
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Stephen Cameron Skalicky, Nancy Bell, Mihai Dascalu, Scott A. Crossley:
"A fork is a food stabber": Linguistic creativity in English L1 and L2 speakers. CogSci 2022
[c79]
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Joon Suh Choi, Scott A. Crossley:
Advances in Readability Research: A New Readability Web App for English. ICALT 2022: 1-5
[c78]
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Qian Wan, Scott A. Crossley, Yu Tian:
Automated Classification of Argumentative Components in Students' Essays. ITS 2022: 171-182
[e1]
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Scott A. Crossley, Elvira Popescu:
Intelligent Tutoring Systems - 18th International Conference, ITS 2022, Bucharest, Romania, June 29 - July 1, 2022, Proceedings. Lecture Notes in Computer Science 13284, Springer 2022, ISBN 978-3-031-09679-2 [contents]
2021
[j8]
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Anupama Gunshekar Cemballi, Andrew J. Karter, Dean Schillinger, Jennifer Y. Liu, Danielle S. McNamara, William Brown III, Scott A. Crossley, Wagahta Semere, Mary Reed, Jill Y. Allen, Courtney R. Lyles:
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study. J. Am. Medical Informatics Assoc. 28(6): 1252-1258 (2021)
[j7]
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William Brown III, Renu Balyan, Andrew J. Karter, Scott A. Crossley, Wagahta Semere, Nicholas D. Duran, Courtney R. Lyles, Jennifer Y. Liu, Howard H. Moffet, Ryane Daniels, Danielle S. McNamara, Dean Schillinger:
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE study. J. Biomed. Informatics 113: 103658 (2021)
[c77]
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Robert-Mihai Botarleanu, Mihai Dascalu, Micah Watanabe, Danielle S. McNamara, Scott Andrew Crossley:
Multilingual Age of Exposure. AIED (1) 2021: 77-87
[c76]
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Qian Wan, Scott A. Crossley, Michelle P. Banawan, Renu Balyan, Danielle S. McNamara, Laura K. Allen:
Automated Claim Identification Using NLP Features in Student Argumentative Essays. EDM 2021
[c75]
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Scott A. Crossley, Aron Heintz, Joon Suh Choi, Jordan Batchelor, Mehrnoush Karimi, Agnes Malatinszky:
The CommonLit Ease of Readability (CLEAR) Corpus. EDM 2021
[c74]
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Robert-Mihai Botarleanu, Mihai Dascalu, Laura K. Allen, Scott Andrew Crossley, Danielle S. McNamara:
Automated Summary Scoring with ReaderBench. ITS 2021: 321-332
2020
[j6]
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Stephen Cameron Skalicky, Nicholas D. Duran, Scott A. Crossley:
Please, Please, Just Tell Me: The Linguistic Features of Humorous Deception. Dialogue Discourse 11(2): 128-149 (2020)
[j5]
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Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker:
Predicting Math Identity Through Language and Click-Stream Patterns in a Blended Learning Mathematics Program for Elementary Students. J. Learn. Anal. 7(1) (2020)
[c73]
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Robert-Mihai Botarleanu, Mihai Dascalu, Scott Andrew Crossley, Danielle S. McNamara:
Sequence-to-Sequence Models for Automated Text Simplification. AIED (2) 2020: 31-36
[c72]
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Rurik Tywoniw, Scott A. Crossley, Jaclyn Ocumpaugh, Shamya Karumbaiah, Ryan Baker:
Relationships Between Math Performance and Human Judgments of Motivational Constructs in an Online Math Tutoring System. AIED (2) 2020: 329-333
[c71]
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Jaclyn Ocumpaugh, Ryan S. Baker, Shamya Karumbaiah, Scott A. Crossley, Matthew J. Labrum:
Affective Sequences and Student Actions Within Reasoning Mind. AIED (1) 2020: 437-447
[c70]
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Qian Wan, Scott A. Crossley, Laura K. Allen, Danielle S. McNamara:
Claim Detection and Relationship with Writing Quality. EDM 2020

2010 – 2019

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2019
[j4]
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Ran Liu, John C. Stamper, Jodi L. Davenport, Scott A. Crossley, Danielle S. McNamara, Kalonji Nzinga, Bruce Sherin:
Learning linkages: Integrating data streams of multiple modalities and timescales. J. Comput. Assist. Learn. 35(1): 99-109 (2019)
[c69]
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Scott A. Crossley, Minkyung Kim, Laura K. Allen, Danielle S. McNamara:
Automated Summarization Evaluation (ASE) Using Natural Language Processing Tools. AIED (1) 2019: 84-95
[c68]
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Robert-Florian Samoilescu, Mihai Dascalu, Maria-Dorinela Sirbu, Stefan Trausan-Matu, Scott A. Crossley:
Modeling Collaboration in Online Conversations Using Time Series Analysis and Dialogism. AIED (1) 2019: 458-468
[c67]
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Stephen Cameron Skalicky, Scott A. Crossley, Danielle S. McNamara, Kasia Muldner:
Measuring Creative Ability in Spoken Bilingual Text: The Role of Language Proficiency and Linguistic Features. CogSci 2019: 1056-1062
[c66]
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Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, Stefan Trausan-Matu:
Longitudinal Analysis and Visualization of Participation in Online Courses Powered by Cohesion Network Analysis. CSCL 2019
[c65]
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Scott A. Crossley, Shamya Karumbaiah, Jaclyn Ocumpaugh, Matthew J. Labrum, Ryan S. Baker:
Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis. LDK 2019: 25:1-25:13
2018
[c64]
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Stephen Cameron Skalicky, Scott A. Crossley:
Linguistic Features of Sarcasm and Metaphor Production Quality. Fig-Lang@NAACL-HLT 2018: 7-16
[c63]
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Scott A. Crossley, Maria-Dorinela Sirbu, Mihai Dascalu, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara:
Modeling Math Success Using Cohesion Network Analysis. AIED (2) 2018: 63-67
[c62]
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Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, Tiffany Barnes, Collin F. Lynch, Stefan Trausan-Matu:
Exploring Online Course Sociograms Using Cohesion Network Analysis. AIED (2) 2018: 337-342
[c61]
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Stefan Ruseti, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Kristopher J. Kopp, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
Predicting Question Quality Using Recurrent Neural Networks. AIED (1) 2018: 491-502
[c60]
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Maria-Dorinela Sirbu, Robert-Mihai Botarleanu, Mihai Dascalu, Scott A. Crossley, Stefan Trausan-Matu:
ReadME - Enhancing Automated Writing Evaluation. AIMSA 2018: 281-285
[c59]
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Mihai Dascalu, Maria-Dorinela Sirbu, Gabriel Gutu-Robu, Stefan Ruseti, Scott A. Crossley, Stefan Trausan-Matu:
Cohesion-Centered Analysis of Sociograms for Online Communities and Courses Using ReaderBench. EC-TEL 2018: 622-626
[c58]
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Scott A. Crossley, Jaclyn Ocumpaugh, Matthew J. Labrum, Franklin Bradfield, Mihai Dascalu, Ryan S. Baker:
Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features. EDM 2018
[c57]
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Juan Miguel L. Andres, Ryan S. Baker, Dragan Gasevic, George Siemens, Scott A. Crossley, Srecko Joksimovic:
Studying MOOC completion at scale using the MOOC replication framework. LAK 2018: 71-78
[c56]
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Junyi Li, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Matthew J. Labrum, Victor Kostyuk, Scott A. Crossley:
Student online behaviors: correlations to math identity. LAK 2018: 441-445
2017
[j3]
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Cynthia M. Berger, Scott A. Crossley, Kristopher Kyle:
Using Novel Word Context Measures to Predict Human Ratings of Lexical Proficiency. J. Educ. Technol. Soc. 20(2): 201-212 (2017)
[c55]
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Kristopher J. Kopp, Amy M. Johnson, Scott A. Crossley, Danielle S. McNamara:
Assessing Question Quality Using NLP. AIED 2017: 523-527
[c54]
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Mihai Dascalu, Laura K. Allen, Danielle S. McNamara, Stefan Trausan-Matu, Scott A. Crossley:
Modeling Comprehension Processes via Automated Analyses of Dialogism. CogSci 2017
[c53]
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Scott A. Crossley, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker, Stefan Trausan-Matu:
Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis. CSCL 2017
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Mihai Dascalu, Gabriel Gutu, Stefan Ruseti, Ionut Cristian Paraschiv, Philippe Dessus, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
ReaderBench: A Multi-lingual Framework for Analyzing Text Complexity. EC-TEL 2017: 495-499
[c51]
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Juan Miguel L. Andres, Ryan S. Baker, George Siemens, Dragan Gasevic, Catherine A. Spann, Scott A. Crossley:
Studying MOOC Completion at Scale Using the MOOC Replication Framework. EDM 2017
[c50]
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Scott A. Crossley, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara:
Linking Language to Math Success in a Blended Course. EDM 2017
[c49]
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Ali Heidari, Meredith D'Arienzo, Scott A. Crossley, Nicholas D. Duran:
Computational Analysis of Lexical and Cohesion Differences in Deceptive Language: The Role of Accordance. FLAIRS 2017: 270-275
[c48]
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Stephen Cameron Skalicky, Scott Andrew Crossley, Danielle S. McNamara, Kasia Muldner:
Automatically Identifying Humorous and Persuasive Language Produced during a Creative Problem-Solving Task. FLAIRS 2017: 282-287
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Scott A. Crossley, Mihai Dascalu, Danielle S. McNamara:
How Important Is Size? An Investigation of Corpus Size and Meaning in Both Latent Semantic Analysis and Latent Dirichlet Allocation. FLAIRS 2017: 293-296
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Scott A. Crossley, Ran Liu, Danielle S. McNamara:
Predicting math performance using natural language processing tools. LAK 2017: 339-347
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Scott A. Crossley, Victor Kostyuk:
Letting the Genie Out of the Lamp: Using Natural Language Processing Tools to Predict Math Performance. LDK 2017: 330-342
2016
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Erica Linn Snow, Laura K. Allen, Matthew E. Jacovina, Scott A. Crossley, Cecile A. Perret, Danielle S. McNamara:
Keys to Detecting Writing Flexibility Over Time: Entropy and Natural Language Processing. J. Learn. Anal. 2(3): 40-54 (2016)
[c44]
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Mihai Dascalu, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
Age of Exposure: A Model of Word Learning. AAAI 2016: 2928-2934
[c43]
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Ana Secui, Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Stefan Ruseti, Stefan Trausan-Matu:
Expressing Sentiments in Game Reviews. AIMSA 2016: 352-355
[c42]
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Scott A. Crossley, Mihai Dascalu, Stefan Trausan-Matu, Laura K. Allen, Danielle S. McNamara:
Document Cohesion Flow: Striving towards Coherence. CogSci 2016
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Mihai Dascalu, Elvira Popescu, Alexandru Becheru, Scott A. Crossley, Stefan Trausan-Matu:
Predicting Academic Performance Based on Students' Blog and Microblog Posts. EC-TEL 2016: 370-376
[c40]
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Scott A. Crossley, Kris Kyle, Jodi L. Davenport, Danielle S. McNamara:
Automatic Assessment of Constructed Response Data in a Chemistry Tutor. EDM 2016: 336-340
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Elvira Popescu, Mihai Dascalu, Alexandru Becheru, Scott A. Crossley, Stefan Trausan-Matu:
Predicting Student Performance and Differences in Learning Styles Based on Textual Complexity Indices Applied on Blog and Microblog Posts: A Preliminary Study. ICALT 2016: 184-188
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Scott A. Crossley, Luc Paquette, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker:
Combining click-stream data with NLP tools to better understand MOOC completion. LAK 2016: 6-14
[c37]
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Laura K. Allen, Caitlin Mills, Matthew E. Jacovina, Scott A. Crossley, Sidney K. D'Mello, Danielle S. McNamara:
Investigating boredom and engagement during writing using multiple sources of information: the essay, the writer, and keystrokes. LAK 2016: 114-123
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Simon Buckingham Shum, Simon Knight, Danielle S. McNamara, Laura K. Allen, Duygu Bektik, Scott A. Crossley:
Critical perspectives on writing analytics. LAK 2016: 481-483
[c35]
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Dorinela Sirbu, Ana Secui, Mihai Dascalu, Scott Andrew Crossley, Stefan Ruseti, Stefan Trausan-Matu:
Extracting Gamers' Opinions from Reviews. SYNASC 2016: 227-232
2015
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Laura K. Allen, Scott A. Crossley, Danielle S. McNamara:
Predicting Misalignment Between Teachers' and Students' Essay Scores Using Natural Language Processing Tools. AIED 2015: 529-532
[c33]
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Laura K. Allen, Scott A. Crossley, Erica L. Snow, Matthew E. Jacovina, Cecile A. Perret, Danielle S. McNamara:
Am I Wrong or Am I Right? Gains in Monitoring Accuracy in an Intelligent Tutoring System for Writing. AIED 2015: 533-536
[c32]
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Scott A. Crossley, Youjin Kim, Tiffany Lester, Samuel Clark:
Embodied cognition and passive processing: What hand-tracking tells us about syntactic processing in L1 and L2 speakers of English. CogSci 2015
[c31]
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Scott A. Crossley, Danielle S. McNamara, Ryan S. Baker, Yuan Wang, Luc Paquette, Tiffany Barnes, Yoav Bergner:
Language to Completion: Success in an Educational Data Mining Massive Open Online Class. EDM 2015: 388-391
[c30]
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Scott A. Crossley, Laura K. Allen, Erica L. Snow, Danielle S. McNamara:
Pssst... textual features... there is more to automatic essay scoring than just you! LAK 2015: 203-207
2014
[c29]
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Scott A. Crossley, Kris Kyle, Laura K. Varner, Danielle S. McNamara:
The Importance of Grammar and Mechanics in Writing Assessment and Instruction: Evidence from Data Mining. EDM 2014: 300-303
[c28]
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Scott A. Crossley, Danielle S. McNamara:
Developing Component Scores from Natural Language Processing Tools to Assess Human Ratings of Essay Quality. FLAIRS 2014
[c27]
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Rod D. Roscoe, Scott A. Crossley, Erica L. Snow, Laura K. Varner, Danielle S. McNamara:
Writing Quality, Knowledge, and Comprehension Correlates of Human and Automated Essay Scoring. FLAIRS 2014
2013
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Rod D. Roscoe, Laura K. Varner, Scott A. Crossley, Danielle S. McNamara:
Developing pedagogically-guided algorithms for intelligent writing feedback. Int. J. Learn. Technol. 8(4): 362-381 (2013)
[c26]
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Scott A. Crossley, Laura K. Varner, Rod D. Roscoe, Danielle S. McNamara:
Using Automated Indices of Cohesion to Evaluate an Intelligent Tutoring System and an Automated Writing Evaluation System. AIED 2013: 269-278
[c25]
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Kristopher Kyle, Scott A. Crossley, Jianmin Dai, Danielle S. McNamara:
Native Language Identification: A Key N-gram Category Approach. BEA@NAACL-HLT 2013: 242-250
[c24]
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Scott A. Crossley, Caleb Defore, Kris Kyle, Jianmin Dai, Danielle S. McNamara:
Paragraph Specific N-Gram Approaches to Automatically Assessing Essay Quality. EDM 2013: 216-219
[c23]
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Scott A. Crossley, Rod D. Roscoe, Danielle S. McNamara:
Using Automatic Scoring Models to Detect Changes in Student Writing in an Intelligent Tutoring System. FLAIRS 2013
[c22]
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Scott A. Crossley, Laura K. Varner, Danielle S. McNamara:
Cohesion-Based Prompt Effects in Argumentative Writing. FLAIRS 2013
2012
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Russell D. Brandon, Scott A. Crossley, Danielle S. McNamara:
A Linguistic Analysis of Expert-Generated Paraphrases. FLAIRS 2012
[c20]
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Scott A. Crossley, Zhiqiang Cai, Danielle S. McNamara:
Syntagmatic, Paradigmatic, and Automatic N-Gram Approaches to Assessing Essay Quality. FLAIRS 2012
[c19]
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Rod D. Roscoe, Danica Kugler, Scott A. Crossley, Jennifer L. Weston, Danielle S. McNamara:
Developing Pedagogically-Guided Threshold Algorithms for Intelligent Automated Essay Feedback. FLAIRS 2012
2011
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Scott A. Crossley, Rod D. Roscoe, Danielle S. McNamara:
Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features. AIED 2011: 438-440
[c17]
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Scott A. Crossley, Danielle S. McNamara:
Text Coherence and Judgments of Essay Quality: Models of Quality and Coherence. CogSci 2011
[c16]
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Shi Feng, Zhiqiang Cai, Scott A. Crossley, Danielle S. McNamara:
Simulating Human Ratings on Word Concreteness. FLAIRS 2011
[c15]
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Roxanne B. Raine, Lisa Mintz, Scott A. Crossley, Jianmin Dai, Danielle S. McNamara:
Text Box Size, Skill, and Iterative Practice in a Writing Task. FLAIRS 2011
[c14]
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Rod D. Roscoe, Scott A. Crossley, Jennifer L. Weston, Danielle S. McNamara:
Automated Assessment of Paragraph Quality: Introduction, Body, and Conclusion Paragraphs. FLAIRS 2011
[c13]
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Rod D. Roscoe, Laura K. Varner, Zhiqiang Cai, Jennifer L. Weston, Scott A. Crossley, Danielle S. McNamara:
Internal Usability Testing of Automated Essay Feedback in an Intelligent Writing Tutor. FLAIRS 2011
[c12]
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Vasile Rus, Shi Feng, Russell D. Brandon, Scott A. Crossley, Danielle S. McNamara:
A Linguistic Analysis of Student-Generated Paraphrases. FLAIRS 2011
[c11]
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Jennifer L. Weston, Scott A. Crossley, Philip M. McCarthy, Danielle S. McNamara:
Number of Words Versus Number Ideas: Finding a Better Predictor of Writing Quality. FLAIRS 2011
2010
[c10]
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Scott A. Crossley, Danielle S. McNamara:
Interlanguage Talk: What Can Breadth of Knowledge Features Tell Us about Input and Output Differences?. FLAIRS 2010
[c9]
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Jennifer L. Weston, Scott A. Crossley, Danielle S. McNamara:
Towards A Computational Assessment of Freewriting Quality. FLAIRS 2010

2000 – 2009

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2009
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Scott A. Crossley, Julian E. Boggess III, Thomas L. Salsbury:
Exploring Lexical Network Development in Second Language Learners. FLAIRS 2009
[c7]
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Nicholas D. Duran, Scott A. Crossley, Charles E. Hall, Philip M. McCarthy, Danielle S. McNamara:
Expanding a Catalogue of Deceptive Linguistic Features with NLP Technologies. FLAIRS 2009
[c6]
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Philip M. McCarthy, Scott A. Crossley:
Special Track on Applied Natural Language Processing. FLAIRS 2009
2008
[c5]
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Scott A. Crossley, Thomas L. Salsbury, Philip M. McCarthy, Danielle S. McNamara:
Using Latent Semantic Analysis to Explore Second Language Lexical Development. FLAIRS 2008: 136-141
[c4]
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Philip M. McCarthy, Vasile Rus, Scott A. Crossley, Arthur C. Graesser, Danielle S. McNamara:
Assessing Forward-, Reverse-, and Average-Entailer Indices on Natural Language Input from the Intelligent Tutoring System, iSTART. FLAIRS 2008: 165-170
2007
[c3]
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Scott A. Crossley, Philip M. McCarthy, Danielle S. McNamara:
Discriminating between Second Language Learning Text-Types. FLAIRS 2007: 205-210
[c2]
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Philip M. McCarthy, Vasile Rus, Scott A. Crossley, Sarah C. Bigham, Arthur C. Graesser, Danielle S. McNamara:
Assessing Entailer with a Corpus of Natural Language from an Intelligent Tutoring System. FLAIRS 2007: 247-252
2006
[c1]
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Max M. Louwerse, Scott A. Crossley:
Dialog Act Classification Using N-Gram Algorithms. FLAIRS 2006: 758-763

Coauthor Index

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