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2018
2 Citations (Scopus)

Comprehension and Writing Strategy Training Improves Performance on Content-Specific Source-Based Writing Tasks

Weston-Sementelli, J. L., Allen, L. K. & McNamara, D., Mar 1 2018, In : International Journal of Artificial Intelligence in Education. 28, 1, p. 106-137 32 p.

Research output: Contribution to journalArticle

comprehension
Students
performance
Intelligent systems
instruction

Comprehension in a Scenario-Based Assessment: Domain and Topic-Specific Background Knowledge

McCarthy, K. S., Guerrero, T. A., Kent, K. M., Allen, L. K., McNamara, D., Chao, S. F., Steinberg, J., O’Reilly, T. & Sabatini, J., May 3 2018, (Accepted/In press) In : Discourse Processes. p. 1-15 15 p.

Research output: Contribution to journalArticle

comprehension
Students
scenario
Ecosystems
student
1 Citation (Scopus)

Contrasting Writing Practice Formats in a Writing Strategy Tutoring System

Roscoe, R., Allen, L. K. & McNamara, D., Jan 1 2018, (Accepted/In press) In : Journal of Educational Computing Research.

Research output: Contribution to journalArticle

Students
student
writing instruction
literacy
ability
2 Citations (Scopus)

Exploring online course sociograms using cohesion network analysis

Sirbu, M. D., Dascalu, M., Crossley, S. A., McNamara, D., Barnes, T., Lynch, C. F. & Trausan-Matu, S., Jan 1 2018, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, p. 337-342 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10948 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cohesion
Network Analysis
Electric network analysis
Learning Environment
Students
1 Citation (Scopus)

iSTART-E: Reading comprehension strategy training for Spanish speakers

McCarthy, K. S., Soto, C., Malbrán, C., Fonseca, L., Simian, M. & McNamara, D., Jan 1 2018, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, p. 215-219 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10948 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Students
Intelligent systems
Pre-test
Intelligent Tutoring Systems
Efficacy
2 Citations (Scopus)

Learning linkages: Integrating data streams of multiple modalities and timescales

Liu, R., Stamper, J., Davenport, J., Crossley, S., McNamara, D., Nzinga, K. & Sherin, B., Jan 1 2018, (Accepted/In press) In : Journal of Computer Assisted Learning.

Research output: Contribution to journalArticle

Students
learning
student
classroom
experience
3 Citations (Scopus)

Metacognitive Overload! Positive and Negative Effects of Metacognitive Prompts in an Intelligent Tutoring System

McCarthy, K. S., Likens, A. D., Johnson, A., Guerrero, T. A. & McNamara, D., Sep 1 2018, In : International Journal of Artificial Intelligence in Education. 28, 3, p. 420-438 19 p.

Research output: Contribution to journalArticle

Intelligent systems
Students
comprehension
performance
self-assessment
1 Citation (Scopus)

Modeling math success using cohesion network analysis

Crossley, S. A., Sirbu, M. D., Dascalu, M., Barnes, T., Lynch, C. F. & McNamara, D., Jan 1 2018, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, p. 63-67 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10948 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Individual Differences
Cohesion
Network Analysis
Electric network analysis
Linear Model

NLP: Getting computers to understand discourse

McNamara, D., Allen, L. K., McCarthy, K. S. & Balyan, R., Jan 1 2018, Deep Comprehension: Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension. Taylor and Francis, p. 224-236 13 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Language
discourse
language
Natural Language Processing
Lenses
2 Citations (Scopus)

Predicting question quality using recurrent neural networks

Ruseti, S., Dascalu, M., Johnson, A., Balyan, R., Kopp, K. J., McNamara, D., Crossley, S. A. & Trausan-Matu, S., Jan 1 2018, Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, p. 491-502 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10947 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Recurrent Neural Networks
Intelligent systems
Network architecture
Learning systems

Recurrence quantification analysis as a method for studying text comprehension dynamics

Likens, A. D., McCarthy, K. S., Allen, L. K. & McNamara, D., Mar 7 2018, Proceedings of the 8th International Conference on Learning Analytics and Knowledge: Towards User-Centred Learning Analytics, LAK 2018. Association for Computing Machinery, p. 111-120 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Students
Linguistics
Dynamical systems
System theory
3 Citations (Scopus)

Scoring summaries using recurrent neural networks

Ruseti, S., Dascalu, M., Johnson, A., McNamara, D., Balyan, R., McCarthy, K. S. & Trausan-Matu, S., Jan 1 2018, Intelligent Tutoring Systems - 14th International Conference, ITS 2018, Proceedings. Springer Verlag, p. 191-201 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10858 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Summarization
Recurrent Neural Networks
Scoring
N-gram
1 Citation (Scopus)

Towards an Automated Model of Comprehension (AMoC)

Dascalu, M., Paraschiv, I. C., McNamara, D. & Trausan-Matu, S., Jan 1 2018, Lifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings. Elferink, R., Drachsler, H., Pammer-Schindler, V., Perez-Sanagustin, M. & Scheffel, M. (eds.). Springer Verlag, p. 427-436 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11082 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Model
Word processing
Syntactics
Natural Language
Semantics
1 Citation (Scopus)

Writing flexibility in argumentative essays: a multidimensional analysis

Allen, L. K., Likens, A. D. & McNamara, D., Jan 1 2018, (Accepted/In press) In : Reading and Writing.

Research output: Contribution to journalArticle

flexibility
Linguistics
Students
linguistics
Aptitude
2019

Are you talking to me? Multi-dimensional language analysis of explanations during reading

Allen, L. K., Perret, C., Mills, C. & McNamara, D., Mar 4 2019, Proceedings of the 9th International Conference on Learning Analytics and Knowledge: Learning Analytics to Promote Inclusion and Success, LAK 2019. Association for Computing Machinery, p. 116-120 5 p. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Students
Learning systems
Processing
Linguistics
Classifiers

Automated summarization evaluation (ASE) using natural language processing tools

Crossley, S. A., Kim, M., Allen, L. & McNamara, D., Jan 1 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Hastings, P., Ogan, A., McLaren, B., Millán, E. & Luckin, R. (eds.). Springer Verlag, p. 84-95 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11625 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Summarization
Natural Language
Evaluation
Processing
Replication
1 Citation (Scopus)

Checking it twice: Does adding spelling and grammar checkers improve essay quality in an automated writing tutor?

McCarthy, K. S., Roscoe, R., Likens, A. D. & McNamara, D., Jan 1 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Hastings, P., Ogan, A., McLaren, B., Millán, E. & Luckin, R. (eds.). Springer Verlag, p. 270-282 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11625 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Grammar
Students
Feedback
Availability
Mechanics

Predicting multi-document comprehension: Cohesion network analysis

Nicula, B., Perret, C. A., Dascalu, M. & McNamara, D., Jan 1 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Hastings, P., Ogan, A., McLaren, B., Millán, E. & Luckin, R. (eds.). Springer Verlag, p. 358-369 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11625 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cohesion
Network Analysis
Electric network analysis
Students
Linear regression

Predicting second language writing proficiency in learner texts using computational tools

Jung, Y. J., Crossley, S. & McNamara, D., Mar 1 2019, In : Journal of Asia TEFL. 16, 1, p. 37-52 16 p.

Research output: Contribution to journalArticle

English language
language
linguistics
rating scale
expert

Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study

Semere, W., Crossley, S., Karter, A. J., Lyles, C. R., Brown, W., Reed, M., McNamara, D., Liu, J. Y. & Schillinger, D., Jan 1 2019, (Accepted/In press) In : Journal of General Internal Medicine.

Research output: Contribution to journalArticle

Proxy
Physicians
Caregivers
Health Literacy
Penetrance

Sentiment in academic texts

Solovyev, V., Solnyshkina, M., Gafiyatova, E., McNamara, D. & Ivanov, V., May 9 2019, Proceedings of the 24th Conference of Open Innovations Association FRUCT, FRUCT 2019. IEEE Computer Society, p. 408-414 7 p. 8711900. (Conference of Open Innovation Association, FRUCT; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Textbooks
History
Social sciences
1 Citation (Scopus)

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study

Balyan, R., Crossley, S. A., Brown, W., Karter, A. J., McNamara, D., Liu, J. Y., Lyles, C. R. & Schillinger, D., Feb 1 2019, In : PloS one. 14, 2, e0212488.

Research output: Contribution to journalArticle

Open Access
Natural Language Processing
Health Literacy
literacy
artificial intelligence
Learning systems