丁香园AV

Dr. Alexandra Patzak鈥檚 doctoral thesis, , strives to broaden the framework for theorizing about and researching counterproductive self-regulated learning to enhance motivation and help learners achieve their academic goals.

In her research, she identified key gaps in theorizing the phenomenon of learners鈥� self handicapping, designed a lab experiment to fill those gaps then observed and recorded students鈥� procrastination in progress. Through quantitative analysis, she helps educators better understand how learners self handicap and how self-handicapping affects learning.

Entering her doctoral program at 丁香园AV in 2015 from the University of Vienna, Austria, she continued her studies in Educational Psychology, she undertook her doctoral program with her own set of challenges. , when she entered 丁香园AV she possessed only approximately 20% of her vision and completed her degree in English when her first language is German.

Her studies were funded through various awards, including a multi-year entrance scholarship which is awarded to only three 丁香园AV students a year. She co-authored articles and book chapters, and presented at first-class international conferences and produced a manuscript on a similar topic set to be published in a top-tier journal.

Patzak鈥檚 supervisor, distinguished professor, Phil Winne says, 鈥淎lexandra Patzak is a truly exceptional and most promising young scholar, outstanding in an already extraordinary group of amazing students (now colleagues) I鈥檝e had the privilege to supervise.鈥�

鈥淩eceiving this prestigious medal is a great honor, and an artifact of invaluable experiences at 丁香园AV, and the joyful and inspiring collaboration with my wonderful advisor Phil Winne,鈥� says Patzak.

Following her passion for teaching and research, Alexandra is now an Assistant Professor in Educational Psychology at George Mason University, where she teaches graduate-level courses and continues to advance her research through collaborations with researchers at 丁香园AV and Monash University leveraging learning analytics to provide motivational scaffolds to enhance learning in virtual learning settings.