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Kay Berkling promovierte in der automatischen Sprachenerkennung am Oregon Graduate Institute of Science and Technology. Seither hat sie an verschiedenen Universitäten und Labs weltweit geforscht und unterrichtet, darunter University of Sydney, Tokyo Insitute of Technology, MIT, Karlsruhe Institute of Technology (KIT) und Polytechnic University of Puerto Rico. Im Herbst 2010 bestand sie ihr 1. Staatsexamen für Grund- und Hauptschullehre und forscht heute in Kollaboration mit der PH Karlsruhe am KIT. Als externer Dozent an der Dualen Hochschule doziert Sie zusätzlich Informatik. Momentane Interessen sind computer-basierte Unterstützung von Kindern beim Lernen in und außerhalb der Schule. Dazu forscht Kay Berkling im Bereich der automatischen Erkennung und Klassifizierung von Rechtschreibfehlern. Fehlerprofile und deren Veränderung über die Zeit hinweg sind ein Kennzeichnen der Entwicklungsstadien im Schriftspracherwerb bei Kindern und liefern uns wichtige Information über den Lernerfolg der Kinder. Linguistisches Wissen, Informatik, statistische Auswertung, Didaktik und Sprachwissen werden integriert, um solch ein System zu erstellen. Um diese Art von Kollaboration zwischen diversen Fachgebieten weiter zu unterstützen, wurde Wocci (Workshop on Child Computer Interaction) ins Leben gerufen. Dieser Workshop dient als Platform für Veröffentlichungen, in denen verschiedene Technologien, wie zum Beispiel Spracherkennung und Robotik, in Applikationen für Kinder vereint werden können. Anwendungsgebiete sind in der Medizin, Diagnostik und Lehre zu finden. Mehr Details findet man im Lebenslauf.
Deutscher Lebenslauf
Kay Berkling
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Kay Berkling received her Bachelor of Science degree in Mathematics and Computer Engineering and her Bachelor of Arts & Sciences in German and French from Syracuse University in 1991. In 1996 she received her PhD in Computer Science & Engineering on Automatic Language Identification at 'The Center for Spoken Language Understanding' from the Oregon Institute of Science & Technology in Computer Engineering. After completing three postdoctoral positions at the University of Karlsruhe with Dr. Alex Waibel, the University of Sydney with Dr. Julie Vonwiller and at the Tokyo Institute of Technology with Dr. Sadaoki Furui in the area of foreign accent identification in English speech, she worked in the speech group at MIT, Lincoln Laboratory. Later, she joined the UBS innovation lab, Ubilab, in 2000. After the closing of this lab, she remained another 5 years in Switzerland, this time in the financial industry as e-business consultant before returning to academia by joining Polytechnic University of Puerto Rico as a Full Professor in 2004. There she spent an intense 4.5 years of teaching over 30 classes in Software Engineering, Testing and Architecture as well as programming in the Department of Computer Science. During this time, she has hosted two conference in Puerto Rico, ASRU 2005 and Odyssey 2006. Currently, Kay Berkling is a freelancer living in Karlsruhe, Germany, from where she still teaches onlince courses and is engaged in some research activities regarding children's applications for education. Her research interests include incorporating linguistic knowledge into speech recognition systems as well as accent-, dialect-, and language-identification systems, and computer aided language teaching. Her goal is to breach the educational gap of non-native speakers of any language through the use of tools employing speech recognition. Together with colleagues in the area of speech recognition, she has most recently started the series of Workshops on Computer, Child and Interaction in order to promote the collaboration of various fields of study with the purpose of advancing technology for children's education. Information on this workshop can be found at www.wocci2008.fbk.eu and at www.wocci2009.fbk.eu.
She has just finished her theoretical component of the Teacher's State Examination in 2010 (1. Staatsexamen) and currently teaches IT as an Adjunct at Duale Hochschule while researching at KIT in Karlsruhe on automatic detection, tracking and classification of changes in spelling errors made by children. In her spare time she creates Learning materials that you find on this website.
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