6 PhD Positions in Digital Education and Teaching AIK12
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The Graz University of Technology and the University of Teacher Education Styria invite applications for a total of 6 doctoral positions in the field of developing digital teaching and learning technologies and content as part of the doctoral programme "Future of Digital Education and Learning". The research topics are from the following subject areas:
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(1) Improving the quality and availability of teaching through AI and augmented reality: On the one hand, we will investigate how learning programming can be supported with individual supervision by AI tutors, similar to ChatGPT or Google's Bard. On the other hand, we will investigate augmented reality as a learning technology, with corresponding content being developed, created and used by students and teachers themselves. Comparisons will be made about the sustainability of learning performance with and without the use of technology and, of course, the technologies themselves will be further developed accordingly.
(2) Innovative teaching with distance learning and modern, freely available teaching and learning materials: Distance learning was used spontaneously, without sufficient methodological underpinning and without reflection in schools at the time of the pandemic. In this research work, solid foundations for Distance Learning are to be developed on the basis of scientific methods, applied in schools under defined framework conditions and evaluated in a methodologically sound manner. Likewise, teaching materials, didactic concepts and textbooks for the school subject of digital basic education will be developed with a special focus on interdisciplinary teaching. Within the framework of this research work, these developments are to be accompanied scientifically and the resulting teaching materials are to be made available to all interested teachers on open learning platforms.
(3) Development and evaluation of age-appropriate content and methods for teaching artificial intelligence: In this research work, age-appropriate didactic concepts for teaching artificial intelligence topics in schools are to be developed. The methods developed should be based on the current state of research in the field of teaching-learning research and the subject didactics and reflect a broad mix of formats (from pencil & paper to unplugged to programming tasks). The topics to be addressed will be defined in accordance with the Austrian curricula. The developed concepts will then be evaluated in school lessons in field studies. The corresponding metrics and evaluation tools will be developed for its methodologically sound evaluation. It will also be investigated which competences of teachers are necessary for a successful implementation of the concepts and how these can be well-founded and effectively integrated into education, further education and training.
Details on the joint doctoral programme, the individual dissertation topics and the supervisors can be found at https://tinyurl.com/FutureDEAL https://tinyurl.com/FutureDEAL.
Organizationally, 3 of the dissertation positions are located at the Graz University of Technology and 3 dissertation positions at the University of Teacher Education Styria. The positions are limited to 3 or 4 years (an extension is possible). All doctoral candidates complete the regular doctoral programme at Graz University of Technology. The main supervision of the dissertations is carried out by faculty members of the CS department of the Graz University of Technology in cooperation with co-supervision by lecturers of the University of Teacher Education Styria. The joint doctoral programme offers an appropriate framework with regular joint working meetings, reading groups and seminars, which is intended to create a regular, interdisciplinary exchange between all researchers and a motivating research environment.
If you are interested or have any questions, please contact Prof. Dr. Gerald Steinbauer-Wagner (supervisor for the AIK12 topics), the coordinator of the programme Prof. Dr. Harald Burgsteiner (h****************r@phst.at mailto:h****************r@phst.at) or apply directly at the respective job portal. It is of course also possible to apply for several positions and topics.
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Topic: "Learning to program with individual supervision by AI tutors", applications at https://jobs.tugraz.at/de/jobs/3dc123f0-9f30-8219-dac6-65041ddaa2b6 https://jobs.tugraz.at/de/jobs/3dc123f0-9f30-8219-dac6-65041ddaa2b6.
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Topic: "Development and evaluation of an augmented reality app as a learning technology", applications at https://bund.jobboerse.gv.at/sap/bc/jobs/#/details/0050568176C11EDE8F8355ABE... https://bund.jobboerse.gv.at/sap/bc/jobs/#/details/0050568176C11EDE8F8355ABE22CAEB3.
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Topic: "Virtual Teaching / Distance Learning at Schools", applications at https://jobs.tugraz.at/de/jobs/d7918c90-7bad-245b-b9e9-64f5a338e446 https://jobs.tugraz.at/de/jobs/d7918c90-7bad-245b-b9e9-64f5a338e446.
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Topic: "Educational Informatics as a Cross-Section topic", (already allocated).
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Topic: "Development and Evaluation of Methods for Teaching Artificial Intelligence", applications at https://jobs.tugraz.at/de/jobs/f330fef8-051e-0d55-7fad-64f5e7b736fc https://jobs.tugraz.at/de/jobs/f330fef8-051e-0d55-7fad-64f5e7b736fc.
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Topic: "Teacher Empowerment for Artificial Intelligence", applications at https://bund.jobboerse.gv.at/sap/bc/jobs/#/details/0050568176C11EDE8F83386CB... https://bund.jobboerse.gv.at/sap/bc/jobs/#/details/0050568176C11EDE8F83386CBC598EAF.
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participants (1)
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Gerald Steinbauer-Wagner