A 'Moneyball' Approach to College - Technology - The Chronicle of Higher Education - 0 views
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Think of it as higher education meets Moneyball.
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Today, half of students quit college before earning a credential. Proponents feel that making better use of data to inform decisions, known as "analytics," can help solve that problem while also improving teaching.
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One analytics tactic—monitoring student clicks in course-management systems—especially worries critics like Gardner Campbell, director of professional development and innovative initiatives at Virginia Tech. He sees these systems as sterile environments where students respond to instructor prompts rather than express creativity. Analytics projects that focus on such systems threaten to damage colleges much like high-stakes standardized testing harmed elementary and secondary schools, he argues.
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Mr. Mazur argues that his new software solves at least three problems. One, it selects student discussion groups. Two, it helps instructors manage the pace of classes by automatically figuring out how long to leave questions open so the vast majority of students will have enough time. And three, it pushes beyond the multiple-choice problems typically used with clickers, inviting students to submit open-ended responses, like sketching a function with a mouse or with their finger on the screen of an iPad. "This is grounded on pedagogy; it's not just the technology," says Mr. Mazur, a gadget skeptic who feels technology has done "incredibly little to improve education."
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In April, Austin Peay debuted software that recommends courses based on a student's major, academic record, and how similar students fared in that class.
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By the eighth day of class, Rio Salado College predicts with 70-percent accuracy whether a student will score a C or better in a course.