Faculty & Research

Recent Publications - Journal Articles

Computer-guided inquiry to improve science learning

Linn, Marcia C.; Gerard, Libby; Ryoo, Kihyun; McElhaney, Kevin; Liu, Ou Lydia; Rafferty, Anna N.
Science, 344 (6180): pp.155-156 (2014)

DOI: 10.1126/science.1245980 Information about DOI

Full Text Available Here

This article discuses computer-guided inquiry to improve science learning. Engaging students in inquiry practices is known to motivate them to persist in science, technology, engineering, and mathematics (STEM) fields and to create lifelong learners. Massive Open Online Courses (MOOCs) mostly offer more of the same. But new cyber-learning tools may change all this, by taking advantage of new algorithms to automatically score student essays and drawings and offer personalized guidance. Teachers can also review automated scores to gauge overall class progress or to design activities that address specific conceptual difficulties. Instructors can use student responses immediately to adjust their instruction and annually to revise courses for the next group of students.

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