April 04, 2017
Ryan Tibshirani, Associate Professor in the Machine Learning Department, is a recipient of Carnegie Mellon's 2017 Teaching Innovation Award.
The Teaching Innovation Award honors specific teaching innovations implemented by full-time Carnegie Mellon faculty members. It recognizes teaching practices designed to improve student learning in online, blended or face-to-face CMU courses. Innovations may be any teaching strategy used in a course, class meeting, assignment or other learning activity.
The award is intended to recognize and disseminate CMU teaching practices based on the: 1) Originality of the teaching strategy (or how it was implemented), 2) Impact on student learning and/or engagement, and 3) Potential to adopt the teaching strategy (or key elements thereof) within or across disciplines.
Read more about Ryan and all of this year's recipients.
Ryan Tibshirani Receives 2017 Teaching Innovation Award
Ryan Tibshirani, Associate Professor in the Machine Learning Department, is a recipient of Carnegie Mellon's 2017 Teaching Innovation Award.
The Teaching Innovation Award honors specific teaching innovations implemented by full-time Carnegie Mellon faculty members. It recognizes teaching practices designed to improve student learning in online, blended or face-to-face CMU courses. Innovations may be any teaching strategy used in a course, class meeting, assignment or other learning activity.
The award is intended to recognize and disseminate CMU teaching practices based on the: 1) Originality of the teaching strategy (or how it was implemented), 2) Impact on student learning and/or engagement, and 3) Potential to adopt the teaching strategy (or key elements thereof) within or across disciplines.
Read more about Ryan and all of this year's recipients.
