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Data-driven Curricular Decisions in Introductory Computing Classes
Author(s) -
Petra Bonfert-Taylor,
Alisan Oeztuerk,
Ben Servoz
Publication year - 2020
Publication title -
2018 asee annual conference & exposition proceedings
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--30252
Subject(s) - computer science , coding (social sciences) , compiler , grading (engineering) , mathematics education , multimedia , programming language , psychology , statistics , civil engineering , engineering , mathematics
Petra Bonfert-Taylor is a Professor and an Instructional Designer at the Thayer School of Engineering at Dartmouth College. She received her Ph.D. in Mathematics from Technical University of Berlin (Germany) in 1996 and subsequently spent three years as a postdoctoral fellow at the University of Michigan before accepting a tenure-track position in the Mathematics Department at Wesleyan University. She left Wesleyan as a tenured full professor in 2015 for her current position at Dartmouth College. Petra has published extensively and lectured widely to national and international audiences. Her work has been recognized by the National Science Foundation with numerous research grants. She is equally passionate about her teaching and has recently designed and created a Massively Open Online Course ”Analysis of a Complex Kind” on Coursera and is in the process of creating a seven-MOOC Professional Certificate on C-programming for edX. The recipient of the Binswanger Prize for Excellence in Teaching at Wesleyan University and the Excellence in Teaching Award at the Thayer School of Engineering, Petra has a strong interest in broadening access to high-quality higher education and pedagogical innovations that aid in providing equal opportunities to students from all backgrounds.

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