Course Description

Digital Learning Environments, EDUC W161

Syllabus(opens in a new tab)
Enrollment closed

Digital learning environments are taking residence in the educational experience of many, from replacing components of traditional classroom instruction to providing open platforms for lifelong learning. In this class we will study the various forms and functions of a sampling of digital learning environments ranging from subject specific Intelligent Tutoring Systems in K-12 to domain neutral systems for post-secondary online learning.

Key Information

Fall Semester 2017
Instruction start date: August 23, 2017
Instruction end date: December 2, 2017
Credit: 4.5 quarter units / 3 semester units credit
UC Berkeley, Grad School of Education

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:
Major Requirement: fulfills Education minor elective

UC Davis:
Unit Credit

UC Irvine:
Major Requirement: Elective for Education Science Major

UC Los Angeles:
Unit Credit

UC Merced:
Units toward Degree (see your adviser)

UC Riverside:
General Education: BA Education/Society/Human Development Elective Units

UC San Diego:
General Education: Warren - May be counted depending on major/PofC/AS, Transfer students may use for UD noncontiguous GE depending on major; TMC 1 course toward upper division disciplinary breadth if noncontiguous to major; Revelle - one course towards Social Science; Seventh - 1 course towards Alternatives - Social Science

UC San Francisco:
Unit Credit

UC Santa Barbara:
Unit Credit

UC Santa Cruz:
Major Requirement: Elective for Education minor

Course Meeting Requirements

The two online meeting periods will be on the Zoom video conferencing platform. Many weeks will feature a guest speaker from one of the featured digital learning environments of study. They are invited mostly to field critical questions but may also provide a brief introduction of themselves and their role at the platform.

Course Fees

No fees

More About The Course

This Course Qualifies for Credit Towards a Certificate in Education from UC Berkeley.
Learn more about the Education Minor program at UC Berkeley.

Additional Course Information

Exam Info

Grading: - Participation: 15% - Midterm: 20% - Homework: 40% - Final Project: 25%

Proctoring Info

There will be a Midterm proctored online during one of the class sessions

Relevant Website

Course Creator

Zachary Pardos
Zachary Pardos, Assistant Professor at UC Berkeley, is a leading learning scientist and an internationally recognized expert in educational data mining and learning analytics. He earned his PhD in Computer Science at Worcester Polytechnic Institute, where he worked with K-12 educators and students to integrate educational technology into the curriculum as a formative assessment tool. He holds several academic leadership positions in the learning analytics community, including posts as an editorial board member for two of its journals. He has published over 50 peer-reviewed articles on topics covering cognitive mastery assessment, adaptive platform engineering, and recommender systems in higher ed. As a faculty member in the Graduate School of Education and Information at Cal, he teaches courses on data mining, machine learning, and the history of digital learning platforms. Prior to UC Berkeley, he was a postdoctoral fellow at MIT applying intelligent tutoring systems paradigms to MOOCs. Zachary Pardos, Assistant Professor at UC Berkeley, is a leading learning scientist and an internationally recognized expert in educational data mining and learning analytics. He earned his PhD in Computer Science at Worcester Polytechnic Institute, where he worked with K-12 educators and students to integrate educational technology into the curriculum as a formative assessment tool. He holds ...

Zachary Pardos, Assistant Professor at UC Berkeley, is a leading learning scientist and an internationally recognized expert in educational data mining and learning analytics. He earned his PhD in Computer Science at Worcester Polytechnic Institute, where he worked with K-12 educators and students to integrate educational technology into the curriculum as a formative assessment tool. He holds several academic leadership positions in the learning analytics community, including posts as an editorial board member for two of its journals. He has published over 50 peer-reviewed articles on topics covering cognitive mastery assessment, adaptive platform engineering, and recommender systems in higher ed. As a faculty member in the Graduate School of Education and Information at Cal, he teaches courses on data mining, machine learning, and the history of digital learning platforms. Prior to UC Berkeley, he was a postdoctoral fellow at MIT applying intelligent tutoring systems paradigms to MOOCs.

Instructor of Term

Zachary Pardos
pardos@berkeley.edu

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