Nyilvános hozzáférés

Pre-service teacher’s use of block-based programming and computational thinking to teach elementary mathematics

C Gleasman, CM Kim

Digital Experiences in Mathematics Education 6 (1), 52-90, 2020

Megbízások: US National Science Foundation

Robotics and coding in primary grades

RB Hill, CM Kim, J Yuan

International Conference on Technology and Innovation in Learning, Teaching …, 2018

Megbízások: US National Science Foundation

Valahol hozzáférhető: 31

Debugging during block-based programming

CM Kim, J Yuan, L Vasconcelos, M Shin, RB Hill

Instructional Science 46, 767-787, 2018

Megbízások: US National Science Foundation

[HTML] springer.com

Debugging behaviors of early childhood teacher candidates with or without scaffolding

CM Kim, L Vasconcelos, BR Belland, D Umutlu, C Gleasman

International Journal of Educational Technology in Higher Education 19 (1), 26, 2022

Megbízások: US National Science Foundation

[PDF] sagepub.com

An ethnomethodological study of abductive reasoning while tinkering

CM Kim, BR Belland, A Baabdullah, E Lee, E Dinç, AY Zhang

AERA Open 7, 23328584211008111, 2021

Megbízások: US National Science Foundation

Examining the effect of automated assessments and feedback on students’ written science explanations

S Puntambekar, I Dey, D Gnesdilow, RJ Passonneau, CM Kim

Computer Supported Collaborative Learning Conference, 2023

Megbízások: US National Science Foundation

[HTML] sagepub.com

Revisiting analogical reasoning in computing education: Use of similarities between robot programming tasks in debugging

CM Kim, E Dinç, E Lee, A Baabdullah, AY Zhang, BR Belland

Journal of Educational Computing Research 61 (5), 1036-1063, 2023

Megbízások: US National Science Foundation

[PDF] sciencedirect.com

Classifying the quality of robotics-enhanced lesson plans using motivation variables, word count, and sentiment analysis of reflections

BR Belland, CM Kim, AY Zhang, E Lee, E Dinç

Contemporary Educational Psychology 69, 102058, 2022

Megbízások: US National Science Foundation

[PDF] ieee.org

Using process and motivation data to predict the quality with which preservice teachers debugged higher and lower complexity programs

BR Belland, CM Kim, AY Zhang, AA Baabdullah, E Lee

IEEE Transactions on Education 64 (4), 374-382, 2021

Megbízások: US National Science Foundation

Automated support to scaffold students’ written explanations in science

P Singh, RJ Passonneau, M Wasih, X Cang, CM Kim, S Puntambekar

International Conference on Artificial Intelligence in Education, 660-665, 2022

Megbízások: US National Science Foundation

[HTML] sciencedirect.com

Learning to teach coding through argumentation

CM Kim, C Gleasman, T Boz, H Park, T Foutz

Computers and Education Open 3, 100107, 2022

Megbízások: US National Science Foundation

[PDF] wiley.com

Characterizing the most effective scaffolding approaches in engineering and technology education: A clustering approach

BR Belland, E Lee, AY Zhang, CM Kim

Computer Applications in Engineering Education 30 (6), 1795-1812, 2022

Megbízások: US National Science Foundation

Playful coding and playful learning among future early childhood educators

CM Kim, BR Belland, C Gleasman

Proceedings of the 2020 Meeting of the International Conference of the …, 2020

Megbízások: US National Science Foundation

Artificial intelligence and ambitious learning practices

CE Hmelo-Silver, S Puntambekar, KD Glazewski, LEM Lawrence, ...

Proceedings of the 15th International Conference on Computer-Supported …, 2022

Megbízások: US National Science Foundation

The impact of middle school students’ writing quality on the accuracy of the automated assessment of science content

D Gnesdilow, I Dey, D Gengler, L Malkin, S Puntambekar, R Passonneau, ...

Proceedings of the 18th International Conference of the Learning Sciences …, 2024

Megbízások: US National Science Foundation

Design of real-time scaffolding of middle school science writing using automated techniques

P Singh, D Gnesdilow, X Cang, S Baker, W Goss, CM Kim, ...

ICLS2022 Proceedings, 2022

Megbízások: US National Science Foundation

NLP-Enabled Automated Feedback about Science Writing

CM Kim, S Puntambekar, E Lee, D Gnesdilow, MS Karizaki, ...

Proceedings of the 18th International Conference of the Learning Sciences …, 2024

Megbízások: US National Science Foundation

AI-human partnership to help students write science explanations

S Puntambekar, D Gnesdilow, R Passonneau, C Kim

Proceedings of the 18th International Conference of the Learning Sciences …, 2024

Megbízások: US National Science Foundation

Epistemological pluralism for diversifying preservice early childhood teachers’ programming experience

C Kim, BR Belland, D Umutlu

Annual meeting program American Educational Research Association, 2020

Megbízások: US National Science Foundation