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Hannah Smith
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2020 – today
- 2024
- [c6]Ivon Arroyo
, Injila Rasul, Danielle Crabtree, Francisco Enrique Vicente Castro
Aligning AIED Systems to Embodied Cognition and Learning Theories. AIED Companion (1) 2024: 3-17 - 2023
- [j5]Jenny Yun-Chen Chan
Examining shifts in conceptual knowledge, procedural knowledge and procedural flexibility in the context of two game-based technologies. J. Comput. Assist. Learn. 39(4): 1274-1289 (2023) - [j4]Ivon Arroyo
The WearableLearning Platform: A Computational Thinking Tool Supporting Game Design and Active Play. Technol. Knowl. Learn. 28(4): 1815-1824 (2023) - 2022
- [j3]Avery Harrison Closser
Blending learning analytics and embodied design to model students' comprehension of measurement using their actions, speech, and gestures. Int. J. Child Comput. Interact. 32: 100391 (2022) - 2021
- [c5]Anthony Botelho, Jenny Yun-Chen Chan, Cindy Trac, Avery Harrison Closser, Hannah Smith, Kathryn C. Drzewiecki, Erin Ottmar:
State vs. Trait: Examining Gaming the System in the Context of Math Perception Tasks. CogSci 2021 - [c4]Jenny Yun-Chen Chan, Hannah Smith, Avery Harrison Closser, Kathryn C. Drzewiecki, Erin Ottmar:
Numbers vs. Variables: The Effect of Symbols on Students' Math Problem-Solving. CogSci 2021 - [c3]Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark:
Explaining Answers with Entailment Trees. EMNLP (1) 2021: 7358-7370 - [i2]Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, Zhengnan Xie, Hannah Smith, Leighanna Pipatanangkura, Peter Clark:
Explaining Answers with Entailment Trees. CoRR abs/2104.08661 (2021) - 2020
- [j2]Avery Harrison
Spacing Out! Manipulating Spatial Features in Mathematical Expressions Affects Performance. J. Numer. Cogn. 6(2): 186-203 (2020) - [c2]Avery Harrison, Hannah Smith, Anthony Botelho, Erin Ottmar, Ivon Arroyo:
For Good Measure: Identifying Student Measurement Estimation Strategies Through Actions, Language, and Gesture. ICLS 2020 - [c1]Hannah Smith, Zeyu Zhang, John Culnan, Peter Jansen:
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition. LREC 2020: 4529-4546
2010 – 2019
- 2019
- [i1]Hannah Smith, Zeyu Zhang, John Culnan, Peter Jansen:
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition. CoRR abs/1911.10436 (2019) - 2018
- [j1]Miranda Mourby
Are 'pseudonymised' data always personal data? Implications of the GDPR for administrative data research in the UK. Comput. Law Secur. Rev. 34(2): 222-233 (2018)
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last updated on 2024-07-20 20:32 CEST by the dblp team
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