This entry is part 10 of 14 in the series Personalized LearningMichael speaks with Empire State College faculty and leadership about how they incorporate personalized learning technologies into their unique, mentor-based program.
This entry is part 9 of 14 in the series Personalized LearningMichael interviews faculty and students at Empire State College about their particular take on mentoring and Prior Learning Assessment (PLA).
This entry is part 8 of 14 in the series Personalized LearningPhil talks to ASU faculty and TAs about their changing roles in a developmental math class that uses personalized learning technology.
This entry is part 7 of 14 in the series Personalized LearningASU Professor Ariel Anbar talks about Habitable Worlds, his online lab course for non-science majors.
This entry is part 6 of 14 in the series Personalized LearningArizona State University is trying to increase access by growing enrollments while keeping costs down, using educational technology to reach more students with the same number of professors.
This entry is part 3 of 14 in the series Personalized LearningMichael talks with Middlebury students and faculty about what they think “personalized learning” means in their context.
This entry is part 1 of 14 in the series Personalized LearningMichael talks with Middlebury College President Ron Liebowitz and Provost Susan Baldridge about what “personalized learning” means at a small, elite New England liberal arts college.
This entry is part 5 of 14 in the series Personalized LearningPhil hears from students and teachers about how the personalized learning pilot is going.
This entry is part 4 of 14 in the series Personalized LearningPhil learns about the severe impact that math passing rates have on graduation rates at Essex County College in Newark, NJ and how they are trying a combination of new pedagogy and new software to attempt to address this problem.
This entry is part 2 of 14 in the series Personalized LearningMiddlebury College Assistant Professor of Geography Jeff Howarth discovers that small classes are not necessarily the ultimate in personalizing learning, and experiments with technology-enabled approaches that look increasingly like personalized learning approaches that we’re seeing elsewhere.
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