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Dive into the research topics where Farnaz Tehranchi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
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Predicting Learning and Retention of a Complex Task Using a Cognitive Architecture
Tehranchi, F., Oury, J. D. & Ritter, F. E., 2021, p. 1077-1083. 7 p.Research output: Contribution to conference › Paper › peer-review
1 Scopus citations -
Extending Jsegman to interact with a biased coin task and a spreadsheet task
Tehranchi, F. & Ritter, F. E., 2020, Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling. Stewart, T. C. (ed.). Applied Cognitive Science Lab, Penn State, p. 259-260 2 p. (Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Some futures for cognitive modeling and architectures: design patterns for including better interaction with the world, moderators, and improved model to data fits (and so can you)
Ritter, F. E., Tehranchi, F., Dancy, C. L. & Kase, S. E., Sep 1 2020, In: Computational and Mathematical Organization Theory. 26, 3, p. 278-306 29 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Testing a complex training task
Ritter, F. E., Tehranchi, F., Brener, M. & Wang, S., 2020, Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling. Stewart, T. C. (ed.). Applied Cognitive Science Lab, Penn State, p. 184-185 2 p. (Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Visual Attention during E-Learning: Eye-tracking Shows that Making Salient Areas More Prominent Helps Learning in Online Tutors
Tehranchi, F., Ritter, F. E. & Chae, C., 2020, p. 3165-3171. 7 p.Research output: Contribution to conference › Paper › peer-review