Parsons Problems and Beyond-Reference-Cited by-同舟云学术

Parsons Problems and Beyond

Published:2022-12-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education
language:
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Author:

Ericson Barbara J.¹^ORCID,Denny Paul²^ORCID,Prather James³^ORCID,Duran Rodrigo⁴^ORCID,Hellas Arto⁵^ORCID,Leinonen Juho⁵^ORCID,Miller Craig S.⁶^ORCID,Morrison Briana B.⁷^ORCID,Pearce Janice L.⁸^ORCID,Rodger Susan H.⁹^ORCID

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. The University of Auckland, Auckland, New Zealand

3. Abilene Christian University, Abilene, TX, USA

4. Fed. Institute of Mato Grosso do Sul, Nova Andradina, Brazil

5. Aalto University, Espoo, Finland

6. DePaul University, Chicago, IL, USA

7. University of Virginia, Charlottesville, VA, USA

8. Berea College, Berea, KY, USA

9. Duke University, Durham, NC, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3571785.3574127

Reference238 articles.

1. Kamil Akhuseyinoglu , Jordan Barria-Pineda , Sergey Sosnovsky , Anna-Lena Lamprecht , Julio Guerra , and Peter Brusilovsky . 2020 . Exploring Student-Controlled Social Comparison. In European Conference on Technology Enhanced Learning. Springer, 244--258 . Kamil Akhuseyinoglu, Jordan Barria-Pineda, Sergey Sosnovsky, Anna-Lena Lamprecht, Julio Guerra, and Peter Brusilovsky. 2020. Exploring Student-Controlled Social Comparison. In European Conference on Technology Enhanced Learning. Springer, 244--258.

2. Laila Al-Malki and Maram Meccawy . 2022. Investigating Students' Performance and Motivation in Computer Programming through a Gamified Recommender System. Computers in the Schools ( 2022 ), 1--26. Laila Al-Malki and Maram Meccawy. 2022. Investigating Students' Performance and Motivation in Computer Programming through a Gamified Recommender System. Computers in the Schools (2022), 1--26.

3. Social Worked-Examples Technique to Enhance Student Engagement in Program Visualization

4. Quantifying Novice Behavior, Experience, and Mental Effort in Code Puzzle Pathways

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