{"id":2552,"date":"2024-08-21T09:01:15","date_gmt":"2024-08-21T07:01:15","guid":{"rendered":"https:\/\/it-u.at\/?post_type=study-program&p=2552"},"modified":"2026-03-30T14:43:30","modified_gmt":"2026-03-30T12:43:30","slug":"phd-digital-transformation-in-learning","status":"publish","type":"study-program","link":"https:\/\/it-u.at\/en\/study-program\/doctoral-school\/phd-digital-transformation-in-learning\/","title":{"rendered":"PhD Digital Transformation in Learning"},"content":{"rendered":"
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IT:U & JKU Doctoral School<\/h2>\n\n\n\n

PhD program Digital Transformation in Learning<\/h3>\n\n\n\n

Artificial intelligence and other emerging technologies are changing when, what, and how we learn in higher education and at the workplace. IT:U\u2019s and JKU’s PhD program Digital Transformation in Learning explores how digital technologies, particularly artificial intelligence, are reshaping education and learning processes.<\/p>\n\n\n\n

Investigate the impact of AI on education, social and cognitive aspects of learning, and the role of technology in shaping future educational systems. Join the PhD program and develop innovative learning technologies that enhance personalized learning, improve collaboration, and transform traditional teaching methods.<\/p>\n\n\n\n

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PhD<\/div><\/div>
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8 semesters<\/div><\/div>
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Linz<\/div><\/div>
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240 ECTS<\/div><\/div>
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Up to 6 full-time PhD positions<\/div><\/div>
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English<\/div><\/div>
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Start date: October 01, 2025<\/div><\/div>
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Applications for 2025 closed<\/div><\/div><\/div> <\/div>\n\n\n\n
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contact person<\/h5> \n Student Administration Team<\/strong>\n

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How you\u2019ll learn<\/strong><\/strong><\/h2>\n\n\n\n

The PhD program Digital Transformation in Learning combines IT:U\u2019s innovative interdisciplinary teaching approaches and emerging technologies-based learning labs with the well-established and proven concept of JKU\u2019s Linz School of Education.<\/p>\n\n\n\n

Our\u202fstructured PhD program\u202faims to equip students with skills in computational thinking, design-based research, and interdisciplinary research. This way, students are encouraged to develop and evaluate how emerging technologies could enhance and expand active learning.<\/p>\n\n\n\n

Work with outstanding supervisors from our local and international ecosystems. They offer perspectives from their fields of expertise to support your academic progress. We aim to explore new ways of learning from a wide range of disciplines, including but not limited to the following:<\/p>\n\n\n\n