CS 3790 ADVANCED TOPICS IN EDUCATIONAL TECHNOLOGY: PERSONALIZED LEARNING ENVIRONMENTS

Description

Minimum Credits: 3
Maximum Credits: 3
The 2010 National Educational Technology Plan outlined how "The challenge for our education system is to leverage the learning sciences and modern technology to create engaging, relevant, and personalized learning experiences for all learners." While instruction has traditionally been one-size-fits-all, the rise of web-based and mobile technologies provide an opportunity to automatically detect what learners need and adapt instruction to their unique prior knowledge, motivation, and preferences. In this seminar course, we survey different types of personalization in educational technologies (e.g., cognitive, metacognitive, social, motivational), computational modeling techniques for representing learners and their needs, and best practices in designing personalized supports for learners. Students will lead one or more class discussions, participate in the other discussions, and complete a group course project. Students must have a foundational knowledge of algorithms and data structures before enrolling in this course.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade

Current Sections

Spring 2020

Class No.
Days
Times
Room
Instructor(s)
TA(s)
Type
Session
Writing
Class No.: 32697 (1030)
Days: W
Times: 10:00 am - 12:50 pm
Room: SENSQ 5313
Instructor(s): E. Walker
TA(s):
Type: LEC
Session: AT
Writing: