Get ready for ISTELive 21! Launch the site now.
Leadership Exchange
at ISTELive 22
Edtech Industry
Network Summit
Creative Constructor
Lab Virtual
Edtech Advocacy &
Policy Summit

Computational Thinking for All: Leveraging 4th Graders' Multilingual capital

Participate and share

Participate and share : Poster

Wednesday, December 2, 3:00–4:00 pm PST (Pacific Standard Time)

Adaeze Oduma  
Dr. Dana Saito-Stehberger  
Jonathan Montoya  

Learn about IMPACT CONECTAR, Discover free, culturally responsive tools that support teaching computational thinking and coding to elementary students who are also learning English.

Audience: Coaches, Curriculum/district specialists, Teachers
Skill level: Beginner
Attendee devices: Devices not needed
Participant accounts, software and other materials: Attendees do not need any accounts, but can use their scratch accounts if they have one. Not having an account will not stop them from learning. This session will give them enough information to complete this process on their own time.
Topic: Computer science & computational thinking
Grade level: 3-5
Subject area: STEM/STEAM, Computer science
ISTE Standards: For Educators:
  • Foster a culture where students take ownership of their learning goals and outcomes in both independent and group settings.
  • Set professional learning goals to explore and apply pedagogical approaches made possible by technology and reflect on their effectiveness.
For Education Leaders:
Empowering Leader
  • Build the confidence and competency of educators to put the ISTE Standards for Students and Educators into practice.

Proposal summary

Purpose & objective

The purpose of this presentation will be to introduce Impact Conectar as a viable resource to teach both computational thinking and coding to all students. The resources we will share have been specifically tailored to support underrepresented students in coding. We focus on bringing in more linguistically diverse students and young girls. We aim to share this resource with teachers and teacher leaders .

Evidence of success would be that participants leave with the ability and confidence to implement a similar program at their schools and districts the next day.

Supporting research

Articles in Refereed Journals

Jacob, S. R., & Warschauer, M. (2018). Computational thinking and literacy. Journal of Computer Science Integration, 1(1), 1-19. Retrieved from

Jacob, S., Nguyen, H., Tofel-Grehl, C., Richardson, D., & Warschauer, M. (2018). Teaching computational thinking to English learners. NYS TESOL Journal, 5(2), pp. 12-24. Retrieved from

Chapters in Books

Jacob, S. R., & Warschauer, M. (in press). Engaging multilingual identities in computer science instruction. Freiermuth, M. R. Editor & Zarrinabadi, N. Editor (Eds.), Technology and language learner psychology. New York: Bloomsbury.

Conference Presentations

Jacob, S., & Warschauer, M. (in press). Leveraging multilingual identities in computer science instruction. David E. Eskey Award presentation at the California Teachers of English to Speakers of Other Languages, Anaheim, CA.

Jacob, S., & Warschauer, M. (2018, May). A three dimensional framework for exploring the relationship between computational thinking and literacy. Poster presented at the Digital Learning in the Humanities and Beyond Symposium, Irvine, CA.

Jacob, S., & Warschauer, M. (2018, April). Computational thinking and literacy. Poster presented at the Center for Language, Interaction, and Culture, Los Angeles, CA.

Jacob, S. (2017, Nov). Computational thinking for English learners. Doctoral student presentation at the UC Irvine Digital Learning Lab, Irvine, CA.

Jacob, S. (2017, Oct). Computational thinking curriculum design for elementary English learners in the Santa Ana Unified School District, Graduate student researcher presentation at the CONECTAR Curriculum Design Committee, Santa Ana, CA.

More [+]


Adaeze Oduma, University of California Irvine
Jonathan Montoya, University of California Irvine

People also viewed

Amazing Learning Activities With Google Drawings
Beyond Tinkercad
Crystal Code: Examining the Impact of Computational Modeling on Scientific Systems Thinking