Domain-specific modeling languages in computer-based learning environments: A systematic approach to support science learning through computational modeling NM Hutchins, G Biswas, N Zhang, C Snyder, Á Lédeczi, M Maróti International Journal of Artificial Intelligence in Education 30, 537-580, 2020 | 34 | 2020 |
Studying the interactions between science, engineering, and computational thinking in a learning-by-modeling environment N Zhang, G Biswas, KW McElhaney, S Basu, E McBride, JL Chiu Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 34 | 2020 |
Characterizing students’ learning behaviors using unsupervised learning methods N Zhang, G Biswas, Y Dong Artificial Intelligence in Education: 18th International Conference, AIED …, 2017 | 27 | 2017 |
Defining and assessing students’ computational thinking in a learning by modeling environment N Zhang, G Biswas Computational thinking education, 203-221, 2019 | 24 | 2019 |
Measuring and analyzing students’ strategic learning behaviors in open-ended learning environments N Zhang, G Biswas, N Hutchins International Journal of Artificial Intelligence in Education, 1-40, 2022 | 19 | 2022 |
A principled approach to NGSS-aligned curriculum development integrating science, engineering, and computation: A pilot study. JL Chiu, KW McElhaney, N Zhang, G Biswas, R Fried, S Basu, N Alozie The 2019 NARST Annual International Conference, 2019 | 19 | 2019 |
Using Computational Modeling to Integrate Science and Engineering Curricular Activities K McElhaney, N Zhang, S Basu, E McBride, G Biswas, JL Chiu ICLS 2020 3, 1357-1364, 2020 | 16 | 2020 |
Modeling the relationships between basic and achievement emotions in computer-based learning environments A Munshi, S Mishra, N Zhang, L Paquette, J Ocumpaugh, R Baker, ... Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 16 | 2020 |
Coherence across conceptual and computational representations of students’ scientific models NM Hutchins, S Basu, K McElhaney, J Chiu, S Fick, N Zhang, G Biswas Computersupported collaborative learning, 2021 | 12 | 2021 |
The role gender differences in computational thinking confidence levels plays in STEM applications NM Hutchins, N Zhang, G Biswas The International Conference on Computational Thinking Education (CTE’17 …, 2017 | 10 | 2017 |
Understanding students’ problem-solving strategies in a synergistic learning-by-modeling environment N Zhang, G Biswas Artificial Intelligence in Education: 19th International Conference, AIED …, 2018 | 8 | 2018 |
Analyzing students’ design solutions in an NGSS-aligned earth sciences curriculum N Zhang, G Biswas, JL Chiu, KW McElhaney Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 7 | 2019 |
Supporting the Integrated Learning of Science, Engineering, and Computational Thinking in an Open-ended Learning Environment N Zhang | 6 | 2020 |
Using Log and Discourse Analysis to Improve Understanding of Collaborative Programming B YETT, C SNYDER, N ZHANG, N HUTCHINS, S MISHRA, G BISWAS The 28th International Conference on Computers in Education, 2020 | 4 | 2020 |
Evaluating student learning in a synchronous, collaborative programming environment through log-based analysis of projects B Yett, N Hutchins, C Snyder, N Zhang, S Mishra, G Biswas Artificial Intelligence in Education: 21st International Conference, AIED …, 2020 | 4 | 2020 |
Studying Learning in Non-formal Digital Educational Settings N Zhang, G Biswas | | 2017 |
Assessing students computational thinking in a learning by modeling environment N Zhang, G Biswas The International Conference on Computational Thinking Education (CTE’17 …, 2017 | | 2017 |
Creating an Agent-Based Model to Explore the Spread of Zika Virus FR Murphey, N Zhang, G Biswas | | |