Course Description

Teach Computational Thinking, EDS 124BR

TITLE: Teaching Computational Thinking for Everyone

Examine issues in computing education (e.g., access and equity). Conceptual and skill development with core programming concepts (flow of control, abstraction, algorithms) using a novice programming framework. Computer science teaching and assessment methods for deep understanding.

Key Information

Credit: 4 quarter units / 2.67 semester units credit
UC San Diego, EDS

Course Credit:

Upon successful completion, all online courses offered through cross-enrollment provide UC unit credit. Some courses are approved for GE, major preparation and/or, major credit or can be used as a substitute for a course at your campus.

If "unit credit" is listed by your campus, consult your department, academic adviser or Student Affairs division to inquire about the petition process for more than unit credit for the course.

UC Berkeley:
Unit Credit

UC Davis:
Unit Credit

UC Irvine:
Unit Credit

UC Los Angeles:
Unit Credit

UC Merced:
Units toward degree (see your advisor)

UC Riverside:
General Education: Elective units

UC San Diego:
General Education: Revelle - one course towards Social Science, Seventh - 1 course towards Alternatives - Social Science; Warren - May be counted depending on major/PofC/AS, Transfer students may use for UD noncontiguous GE depending on major;
Major Requirement: For Cognitive Science majors, EDS 124BR is an approved upper-division general elective or Design and Interaction specialization elective (letter grade of C- or better)

UC San Francisco:
Unit Credit

UC Santa Barbara:
General Education: This course will apply to Area D automatically upon completion

UC Santa Cruz:
Unit Credit

Prerequisites

No course prerequisites. Junior or Senior standing required.

Course Fees

None.

More About The Course

Relevant Website

Course Creators

Elizabeth Simon

Dr. Beth Simon is a Teaching Professor in the Department of Education Studies. Her research interests lie in the areas of computing education and online and technology-enhanced teaching. 

Beth is involved in development of high school computing curriculum and the training and community needs of K-12 teachers wanting to bring computing education opportunities to their students. Recently, Beth co-chaired the California Department of Education's Computer Science Standards Advisory Committee defining the K-12 standards for CS learning in California. Previously, Beth designed an inaugural pilot of the new Advanced Placement Computer Science Principals course. She also studied the impacts of evidence-based active learning practices (e.g., Peer Instruction) on student outcomes in higher education, student conceptions of computing concepts, and novice computing students’ self-efficacy. 

For 11 years, Beth served as a Teaching Professor in the Computer Science and Engineering Department. She has also been the Director of UCSD's Center for Teaching Development and is currently the UCSD Faculty Advisor for Digital Learning in the Teaching + Learning Commons.

Dr. Beth Simon is a Teaching Professor in the Department of Education Studies. Her research interests lie in the areas of computing education and online and technology-enhanced teaching.  Beth is involved in development of high school computing curriculum and the training and community needs of K-12 teachers wanting to bring computing education opportunities to their students. Recently, ...

Dr. Beth Simon is a Teaching Professor in the Department of Education Studies. Her research interests lie in the areas of computing education and online and technology-enhanced teaching. 

Beth is involved in development of high school computing curriculum and the training and community needs of K-12 teachers wanting to bring computing education opportunities to their students. Recently, Beth co-chaired the California Department of Education's Computer Science Standards Advisory Committee defining the K-12 standards for CS learning in California. Previously, Beth designed an inaugural pilot of the new Advanced Placement Computer Science Principals course. She also studied the impacts of evidence-based active learning practices (e.g., Peer Instruction) on student outcomes in higher education, student conceptions of computing concepts, and novice computing students’ self-efficacy. 

For 11 years, Beth served as a Teaching Professor in the Computer Science and Engineering Department. She has also been the Director of UCSD's Center for Teaching Development and is currently the UCSD Faculty Advisor for Digital Learning in the Teaching + Learning Commons.


Emi Eguchi

Dr. Amy Eguchi is an Assistant Teaching Professor in the Department of Education Studies at University of California San Diego.. 

Amy possesses a wealth of experience as a teacher and leader in technologically enhanced education to promote students’ STEM+C (computing) learning, with particular focus on educational robotics, computer science (CS) education and AI in K12. Her professional background and experience focuses on providing better STEM+C learning opportunities for all students including underprivileged and female students. Her research and projects focus on enhancing student learning with a transdisciplinary approach using various technologies including educational robotics and digital fabrication tools.

Amy takes part in the AI for K-12 initiative, jointly sponsored by AAAI and CSTA, as an advisory group member, working collaboratively with K-12 classroom teachers teaching CS who also took part in the development of the 2017 CSTA standards.

Dr. Amy Eguchi is an Assistant Teaching Professor in the Department of Education Studies at University of California San Diego..  Amy possesses a wealth of experience as a teacher and leader in technologically enhanced education to promote students’ STEM+C (computing) learning, with particular focus on educational robotics, computer science (CS) education and AI in K12. Her professional ...

Dr. Amy Eguchi is an Assistant Teaching Professor in the Department of Education Studies at University of California San Diego.. 

Amy possesses a wealth of experience as a teacher and leader in technologically enhanced education to promote students’ STEM+C (computing) learning, with particular focus on educational robotics, computer science (CS) education and AI in K12. Her professional background and experience focuses on providing better STEM+C learning opportunities for all students including underprivileged and female students. Her research and projects focus on enhancing student learning with a transdisciplinary approach using various technologies including educational robotics and digital fabrication tools.

Amy takes part in the AI for K-12 initiative, jointly sponsored by AAAI and CSTA, as an advisory group member, working collaboratively with K-12 classroom teachers teaching CS who also took part in the development of the 2017 CSTA standards.


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