Prof. Dr. Michael Sailer

Lehrstuhlinhaber

Learning Analytics and Educational Data Mining

Telefon:	+49 (0)821 598 4346
E-Mail:	michael.sailer@uni-auni-a.de ()
Raum:	2058 ( D )
Sprechzeiten:	nach Vereinbarung
Adresse:	Universitätsstraße 10, 86159 Augsburg

Kontakt (.vcf)

Lebenslauf

Michael Sailer studierte Pädagogik (Hauptfach), Psychologie und Rechtswissenschaften an der LMU München und der Universität Twente. Im Jahr 2016 promovierte er in Psychologie (Hauptfach) und Pädagogik an der LMU München. Nach einer kurzen Tätigkeit als Unternehmensberater wurde er Postdoktorand am Lehrstuhl für Empirische Pädagogik und Pädagogische Psychologie der LMU München. Von 2019 bis 2023 war er Akademischer Rat (a.Z.) mit den Schwerpunkten Lehr- und Lernforschung sowie empirische Forschungsmethoden für die Studiengänge Pädagogik, Psychologie und Lehramt tätig. Im Wintersemester 2021/2022 war er als W3-Vertretungsprofessor für Schulpädagogik mit dem Schwerpunkt Digitalisierung von Schule und Unterricht der FAU Erlangen-Nürnberg tätig. Im Jahr 2023 schloss er seine Habilitation an der Fakultät für Psychologie und Pädagogik der LMU München ab und erhielt die Venia legendi für Pädagogik und Pädagogische Psychologie.

Seit Oktober 2023 ist er W3-Professor für Learning Analytics and Educational Data Mining an der Universität Augsburg. Seine Forschungsschwerpunkte sind KI in der Bildung, Lernen und Lehren und digitalen Medien, gamifiziertes Lernen, simulationsbasiertes Lernen, sowie die Analyse von Lernprozessen und deren Unterstützung mithilfe von digitalen Technologien (Learning Analytics).

Er ist Mitglied des „Munich Center of the Learning Sciences“ (LMU) und gehört gemeinsam mit Prof. Dr. Katharina Scheiter (Universität Potsdam) und Prof. Dr. Niels Pinkwart (HU Berlin) der vom BMBFSFJ ins Leben gerufenen Expertengruppe „KI in der Bildung“ an. Darüber hinaus ist er Special-Issue Editor der Fachzeitschrift „Learning and Individual Differences“.

ORCID | ResearchGate | Google Scholar

Forschungsschwerpunkte

Lehren und Lernen mit digitalen Medien
KI in der Bildung
Learning Analytics
Gamification und gamifiziertes Lernen
Simulationen und simulationsbasiertes Lernen
Lehrkräftebildung und medienbezogene Lerhkompetenzen von Lehrkräften

Lehrveranstaltungen

Kurs	Heimateinrichtung	Dozent	Semester	Typ	Sprache

Publikationen

2027 | 2026 | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2014 | 2013

2027

Wekerle, Christina, Sailer, Michael, Kollar, Ingo, & Fütterer, Tim (2027). The effects of ICAP learning activities on learning outcomes. Learning and Instruction, 107, 102482. https://doi.org/10.1016/j.learninstruc.2026.102482
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2026

Horrer, Anna, Brandl, Laura, Reichow, Insa, Sailer, Michael, Sailer, Maximilian, Stadler, Matthias, Heene, Moritz, van Gog, Tamara, Fischer, Frank, Fischer, Martin R., & Zottmann, Jan M. (2026). ASSESSRA — a case-based approach for the assessment of students' scientific reasoning and argumentation skills. Journal of Psychoeducational Assessment, 44(1), 3-19. https://doi.org/10.1177/07342829251364579
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Lohr, Anne, Berger, Sonja, Sailer, Michael, Fischer, Frank, Pickal, Amadeus J., Bauer, Elisabeth, & Schultz-Pernice, Florian (2026). Digitale Bildung an bayerischen Hochschulen zwischen Konsolidierung und Künstlicher Intelligenz. München: vbw Bayern.
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Kastorff, Tamara, Sailer, Michael, Greiff, Samuel, Goldhammer, Frank, Tupac-Baier, Ana, & Scheiter, Katharina (2026). Digitale Lernbedingungen. In Samuel Greiff, Jennifer Diedrich, Tamara Kastorff, Frank Goldhammer, & Olaf Köller (Eds.), PISA 2025: Bildung im Spannungsfeld von Innovation und Transformation (pp. 206-214). Münster: Waxmann.
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Bai, Shurui, Liu, Yingxue, Hew, Khe Foon, Sailer, Michael, & Xiao, Ya (2026). Effects of reward strategies in gamified learning on academic performance: a systematic review. Educational Research Review, 50, 100766. https://doi.org/10.1016/j.edurev.2026.100766
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Bauer, Elisabeth, Greiff, Samuel, Graesser, Arthur C., Scheiter, Katharina, & Sailer, Michael (2026). Exploring the effects of generative AI on learning using the ISAR model. In Michael C. Mayrath, John T. Behrens, & Daniel H. Robinson (Eds.), Handbook of generative AI in education: integrating research into practice (pp. 93-117). Cham: Springer. https://doi.org/10.1007/978-3-032-24819-0_3
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Sailer, Michael, Ninaus, Manuel, & Greiff, Samuel (2026). Gamification of learning and instruction – learning processes and individual differences. Learning and Individual Differences, 130, 102965. https://doi.org/10.1016/j.lindif.2026.102965
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Scheiter, Katharina, Bach, Katharina M., Bauer, Elisabeth, Brod, Garvin, Bromme, Rainer, Buhl, Heike M., Gagl, Benjamin, Greiff, Samuel, Hefter, Markus H., Janke, Stefan, Lindner, Marlit A., Mayweg, Elisabeth, Nebel, Steve, Rummel, Nikol, & Sailer, Michael (2026). Generative Künstliche Intelligenz im Kontext von Lehren, Lernen und Beraten: eine Perspektive der Pädagogischen Psychologie. Psychologische Rundschau, 77(3), 169-174. https://doi.org/10.1026/0033-3042/a000769
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Berger, Sonja, Schultz-Pernice, Florian, Vejvoda, Johanna, Fischer, Frank, & Sailer, Michael (2026). KI in der Schule: Anforderungen an medienbezogene Kompetenzen von Lehrkräften. merz | medien + erziehung, 70(1), 11-18. https://doi.org/10.21240/merz/2026.1.08
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Zainuddin, Zamzami, Sailer, Michael, Bai, Shurui, Churiyah, Madziatul, & Winarno, Agung (2026). Quiz-based inquiry: embedding incrementally sequenced questions to enhance engagement and learning in synchronous online lectures. Educational Technology Research & Development, 74(3), 1737-1773. https://doi.org/10.1007/s11423-026-10614-1
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Scheibenzuger, Christian, Chernikova, Olga, Vejvoda, Johanna, Sailer, Michael, & Fischer, Frank (in press). Scenario-Based AI Literacy Scale (SAILS): evidence for distinct instrumental and critical-reflective AI skills and their difference from traditional digital skills. British Journal of Educational Technology (BJET), . https://doi.org/10.1111/bjet.70065
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Daumiller, Martin, Bauer, Elisabeth, Greiff, Samuel, & Sailer, Michael (2026). The road ahead: how the future of learning is shaped through individual differences. Learning and Individual Differences, 132, 102975. https://doi.org/10.1016/j.lindif.2026.102975
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Pickal, Amadeus J., Stadler, Matthias, Sailer, Michael, Bai, Shurui, Ninaus, Manuel, Greiff, Samuel, Becker, Nicolas, & Koch, Marco (2026). The winner takes it all – effects of leaderboard-based feedback on cognitive performance and motivation. Learning and Individual Differences, 126, 102836. https://doi.org/10.1016/j.lindif.2025.102836
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2025

Bauer, Elisabeth, Sailer, Michael, Niklas, Frank, Greiff, Samuel, Sarbu‐Rothsching, Sven, Zottmann, Jan M., Kiesewetter, Jan, Stadler, Matthias, Fischer, Martin R., Seidel, Tina, Urhahne, Detlef, Sailer, Maximilian, & Fischer, Frank (2025). AI‐based adaptive feedback in simulations for teacher education: an experimental replication in the field. Journal of Computer Assisted Learning, 41(1), e13123. https://doi.org/10.1111/jcal.13123
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Berger, Sonja, Stadler, Matthias, Sailer, Michael, Eberle, Julia, Cooper-Thomas, Helena D., & Stegmann, Karsten (2025). Crossing the distance: university student newcomer socialization in online semesters — a case study. Unterrichtswissenschaft, 53, 53-71. https://doi.org/10.1007/s42010-024-00206-4
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Roeben, Meral, Lütge, Christiane, Schultz-Pernice, Florian, Vejvoda, Johanna, Sailer, Michael, Fischer, Frank, & Heitzmann, Nicole (2025). Diagnosing cognitive engagement in TEFL: validating and analyzing a simulation. Zeitschrift für Fremdsprachenforschung, 36(2), 27-48. https://doi.org/10.3278/zff2502w002
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Schlag, Ruben, Sailer, Michael, Tolks, Daniel, Ninaus, Manuel, & Sailer, Maximilian (2025). Effectiveness of gamification in education. In Andreas Gegenfurtner & Ingo Kollar (Eds.), Designing effective digital learning environments (pp. 143-159). Abingdon: Routledge. https://doi.org/10.4324/9781003386131-15
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Bauer, Elisabeth, Richters, Constanze, Pickal, Amadeus J., Klippert, Moritz, Sailer, Michael, & Stadler, Matthias (2025). Effects of AI-generated adaptive feedback on statistical skills and interest in statistics: a field experiment in higher education. British Journal of Educational Technology, 56(5), 1735-1757. https://doi.org/10.1111/bjet.13609
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Iliescu, Dragos, Wetzel, Eunike, Greiff, Samuel, Stadler, Matthias, & Sailer, Michael (2025). Fast-tracking manuscripts in EJPA [Editorial]. European Journal of Psychological Assessment, 41(2), 89-91. https://doi.org/10.1027/1015-5759/a000894
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Scheiter, Katharina, Bauer, Elisabeth, Omarchevska, Yoana, Schumacher, Clara, & Sailer, Michael (2025). Künstliche Intelligenz in der Schule: eine Handreichung zum Stand in Wissenschaft und Praxis. Bonn: Bundesministerium für Bildung, Familie, Senioren, Frauen und Jugend (BMFSFJ).
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Herausgegeben im Rahmen des KI-Begleitprozesses im Rahmenprogramm empirische Bildungsforschung

Schultz-Pernice, Florian, Hofer, Sarah, Sailer, Michael, Heitzmann, Nicole, & Fischer, Frank (2025). Lehren mit Medien. In Detlef Urhahne, Markus Dresel, & Frank Fischer (Eds.), Psychologie für den Lehrberuf (pp. 455-484). Berlin: Springer. https://doi.org/10.1007/978-3-662-69557-9_22
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Münch-Manková, Zuzana, Sailer, Michael, & Pickal, Amadeus J. (2025). Lernbooster oder Kreativitätskiller? – KI im Sprachunterricht zwischen Chancen und Schwierigkeiten. In Luisa Baum & Gülsüm Günay (Eds.), Künstliche Intelligenz in DaF/DaZ (pp. 177-194). Berlin: Frank & Timme.
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Bauer, Elisabeth, Greiff, Samuel, Graesser, Arthur C., Scheiter, Katharina, & Sailer, Michael (2025). Looking beyond the hype: understanding the effects of AI on learning. Educational Psychology Review, 37(2), 45. https://doi.org/10.1007/s10648-025-10020-8
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Küchemann, Stefan, Avila, Karina E., Dinc, Yavuz, Hortmann, Chiara, Revenga, Natalia, Ruf, Verena, Stausberg, Niklas, Steinert, Steffen, Fischer, Frank, Fischer, Martin, Kasneci, Enkelejda, Kasneci, Gjergji, Kuhr, Thomas, Kutyniok, Gitta, Malone, Sarah, Sailer, Michael, Schmidt, Albrecht, Stadler, Matthias, Weller, Jochen, & Kuhn, Jochen (2025). On opportunities and challenges of large multimodal foundation models in education. npj Science of Learning, 10(1), 11. https://doi.org/10.1038/s41539-025-00301-w
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Bauer, Elisabeth, Heitzmann, Nicole, Bannert, Maria, Chernikova, Olga, Fischer, Martin R., Frenzel, Anne C., Gartmeier, Martin, Hofer, Sarah I., Holzberger, Doris, Kasneci, Enkelejda, Koenen, Jenna, Kosel, Christian, Küchemann, Stefan, Kuhn, Jochen, Michaeli, Tilman, Neuhaus, Birgit J., Niklas, Frank, Obersteiner, Andreas, Pfeffer, Jürgen, Sailer, Michael, Schmidmaier, Ralf, Schmidt-Hertha, Bernhard, Stadler, Matthias, Ufer, Stefan, Vorholzer, Andreas, Seidel, Tina, & Fischer, Frank (2025). Personalizing simulation-based learning in higher education. Learning and Individual Differences, 122, 102746. https://doi.org/10.1016/j.lindif.2025.102746
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Roeben, Meral, Vejvoda, Johanna, Murböck, Julia, Fischer, Frank, Schultz-Pernice, Florian, Lohr, Anne, Stadler, Matthias, Sailer, Michael, & Heitzmann, Nicole (2025). Simulations in teacher education: learning to diagnose cognitive engagement. Education Sciences, 15(3), 261. https://doi.org/10.3390/educsci15030261
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2024

Stadler, Matthias, Bannert, Maria, & Sailer, Michael (2024). Cognitive ease at a cost: LLMs reduce mental effort but compromise depth in student scientific inquiry. Computers in Human Behavior, 160, 108386. https://doi.org/10.1016/j.chb.2024.108386
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Oezsoy, Melissa, Murbök, Julia, Schultz-Pernice, Florian, Gräsel, Cornelia, Sailer, Michael, & Fischer, Frank (2024). DigCompEduObserve – ein Beobachtungsinstrument zur Förderung digitaler Kompetenzen von Lehrenden (Version 1.0). München: Munich Center of the Learning Sciences (MCLS), Ludwig-Maximilians-Universität München.
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Teil des Projekts: Kokon - Lehrkräftekooperation im Kontext digitaler Schulentwicklung

Lohr, Anne, Sailer, Michael, Stadler, Matthias, & Fischer, Frank (2024). Digital learning in schools: which skills do teachers need, and who should bring their own devices?. Teaching and Teacher Education, 152, 104788. https://doi.org/10.1016/j.tate.2024.104788
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Berger, Sonja, Vejvoda, Johanna, Schultz-Pernice, Florian, Li, Wei, Sailer, Michael, & Fischer, Frank (2024). Digitale Bildung an bayerischen Schulen zwischen Pandemie und KI. München: vbw Bayern.
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Bauer, Elisabeth, Sailer, Michael, Kiesewetter, Jan, Fischer, Martin R., Gurevych, Iryna, & Fischer, Frank (2024). Facilitating justification, disconfirmation, and transparency in diagnostic argumentation: effects of automatic adaptive feedback in teacher education. Zeitschrift für Pädagogische Psychologie, 38(1-2), 49-54. https://doi.org/10.1024/1010-0652/a000363
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Sailer, Michael, Maier, Rebecca, Berger, Sonja, Kastorff, Tamara, & Stegmann, Karsten (2024). Learning activities in technology-enhanced learning: a systematic review of meta-analyses and second-order meta-analysis in higher education. Learning and Individual Differences, 112, 102446. https://doi.org/10.1016/j.lindif.2024.102446
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Huber, Stefan E., Kiili, Kristian, Nebel, Steve, Ryan, Richard M., Sailer, Michael, & Ninaus, Manuel (2024). Leveraging the potential of large language models in education through playful and game-based learning. Educational Psychology Review, 36(1), 25. https://doi.org/10.1007/s10648-024-09868-z
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Vejvoda, Johanna, Stadler, Matthias, Schultz-Pernice, Florian, Glas, Julia, Fischer, Frank, & Sailer, Michael (2024). Messung instrumenteller und kritisch-reflexiver Medienkompetenzen sowie medienbezogener Lehrkompetenzen von (angehenden) Lehrkräften: Entwicklung einer szenarienbasierten Kurzskala. MedienPädagogik, (57), 103-126. https://doi.org/10.21240/mpaed/57/2024.03.28.x
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Bichler, Sarah, Sailer, Michael, Bauer, Elisabeth, Kiesewetter, Jan, Härtl, Hanna, Fischer, Martin R., & Fischer, Frank (2024). Promoting diagnostic reasoning in teacher education: the role of case format and perceived authenticity. European Journal of Psychology of Education, 39, 3227-3252. https://doi.org/10.1007/s10212-024-00874-x
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Sailer, Michael, Ninaus, Manuel, Huber, Stefan E., Bauer, Elisabeth, & Greiff, Samuel (2024). The end is the beginning is the end: the closed-loop learning analytics framework. Computers in Human Behavior, 158, 108305. https://doi.org/10.1016/j.chb.2024.108305
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Chernikova, Olga, Jansen, Thorben, Sailer, Michael, & Greiff, Samuel (2024). Toward more robust and integrative research on learning and individual differences: systematic literature reviews with and without meta-analysis [Editorial]. Learning and Individual Differences, 113, 102468. https://doi.org/10.1016/j.lindif.2024.102468
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2023

Kastorff, Tamara, Sailer, Michael, & Stegmann, Karsten (2023). A typology of adolescents' technology use before and during the COVID-19 pandemic: a latent profile analysis. International Journal of Educational Research, 117, 102136. https://doi.org/10.1016/j.ijer.2023.102136
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Sailer, Michael, Bauer, Elisabeth, Hofmann, Riikka, Kiesewetter, Jan, Glas, Julia, Gurevych, Iryna, & Fischer, Frank (2023). Adaptive feedback from artificial neural networks facilitates pre-service teachers' diagnostic reasoning in simulation-based learning. Learning and Instruction, 83, 101620. https://doi.org/10.1016/j.learninstruc.2022.101620
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Kasneci, Enkelejda, Sessler, Kathrin, Küchemann, Stefan, Bannert, Maria, Dementieva, Daryna, Fischer, Frank, Gasser, Urs, Groh, Georg, Günnemann, Stephan, Hüllermeier, Eyke, Krusche, Stephan, Kutyniok, Gitta, Michaeli, Tilman, Nerdel, Claudia, Pfeffer, Jürgen, Poquet, Oleksandra, Sailer, Michael, Schmidt, Albrecht, Seidel, Tina, Stadler, Matthias, Weller, Jochen, Kuhn, Jochen, & Kasneci, Gjergji (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
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Kastorff, Tamara, Sailer, Michael, Vejvoda, Johanna, Schultz-Pernice, Florian, Hartmann, Valentin, Hertl, Anna, Berger, Sonja, & Stegmann, Karsten (2023). Context-specificity to reduce bias in self-assessments: comparing teachers' scenario-based self-assessment and objective assessment of technological knowledge. Journal of Research on Technology in Education, 55(6), 917-930. https://doi.org/10.1080/15391523.2022.2062498
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Wirth, Astrid, Lohr, Anne, Sailer, Michael, & Niklas, Frank (2023). Digitales Niemandsland? Eine Bestandsaufnahme der digitalen Bildung an deutschen Kindertageseinrichtungen. In Katharina Scheiter & Ingrid Gogolin (Eds.), Bildung für eine digitale Zukunft (pp. 27-55). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-37895-0_2
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Vejvoda, Johanna, Stadler, Matthias, Schultz-Pernice, Florian, Fischer, Frank, & Sailer, Michael (2023). Getting ready for teaching with digital technologies: scenario-based self-assessment in teacher education and professional development. Unterrichtswissenschaft, 51, 511-532. https://doi.org/10.1007/s42010-023-00186-x
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2022

Ninaus, Manuel & Sailer, Michael (2022). Closing the loop – the human role in artificial intelligence for education. Frontiers in Psychology, 13, 956798. https://doi.org/10.3389/fpsyg.2022.956798
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Bauer, Elisabeth, Sailer, Michael, Kiesewetter, Jan, Fischer, Martin R., & Fischer, Frank (2022). Diagnostic argumentation in teacher education: making the case for justification, disconfirmation, and transparency. Frontiers in Education, 7, 977631. https://doi.org/10.3389/feduc.2022.977631
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Lohr, Anne, Vejvoda, Johanna, Schultz-Pernice, Florian, Maier, Rebecca, Jiang, Siyu, Fischer, Frank, & Sailer, Michael (2022). Digitale Bildung an bayerischen Hochschulen während der Corona-Pandemie. München: vbw Bayern.
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Niedermeier, Sandra, Sailer, Michael, Remböck, Lukas, & Stadler, Matthias (2022). Ich packe meinen Koffer: Unterlagen und Performanz bei Open-Book-Klausuren. Zeitschrift für Hochschulentwicklung, 17(1), 157-177. https://doi.org/10.3217/zfhe-17-01/10
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Kiesewetter, Jan, Hege, Inga, Sailer, Michael, Bauer, Elisabeth, Schulz, Claudia, Platz, Manfred, & Adler, Martin (2022). Implementing remote collaboration in a virtual patient platform: usability study. JMIR Medical Education, 8(3), e24306. https://doi.org/10.2196/24306
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Vejvoda, Johanna, Schultz-Pernice, Florian, Graf, Michael, Lohr, Anne, Heitzmann, Nicole, Fischer, Frank, & Sailer, Michael (2022). Kurs halten, Fahrt aufnehmen: Bayerns Schulen auf dem Weg ins digitale Zeitalter. Schulverwaltung Bayern, 45(1), 7-10.
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Bauer, Elisabeth, Sailer, Michael, Kiesewetter, Jan, Schulz, Claudia, Gurevych, Iryna, Fischer, Martin R., & Fischer, Frank (2022). Learning to diagnose students' behavioral, developmental, and learning disorders in a simulation-based learning environment for pre-service teachers. In Frank Fischer & Ansgar Opitz (Eds.), Learning to diagnose with simulations: examples from teacher education and medical education (pp. 97-107). Cham: Springer. https://doi.org/10.1007/978-3-030-89147-3_8
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Sailer, Michael, Wekerle, Christina, & Petko, Dominik (2022). New ways to investigate teachers' and students' technology use - applying the ICAP model to TEL research. EARLI SIG 6 & 7 Conference 2022, Zollikofen, Switzerland, 22-24 August 2022.
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Fischer, Frank, Bauer, Elisabeth, Seidel, Tina, Schmidmaier, Ralf, Radkowitsch, Anika, Neuhaus, Birgit J., Hofer, Sarah I., Sommerhoff, Daniel, Ufer, Stefan, Kuhn, Jochen, Küchemann, Stefan, Sailer, Michael, Koenen, Jenna, Gartmeier, Martin, Berberat, Pascal, Frenzel, Anne, Heitzmann, Nicole, Holzberger, Doris, Pfeffer, Jürgen, Lewalter, Doris, Niklas, Frank, Schmidt-Hertha, Bernhard, Gollwitzer, Mario, Vorholzer, Andreas, Chernikova, Olga, Schons, Christian, Pickal, Amadeus J., Bannert, Maria, Michaeli, Tilman, Stadler, Matthias, & Fischer, Martin R. (2022). Representational scaffolding in digital simulations – learning professional practices in higher education. Information and Learning Sciences, 123(11/12), 645-665. https://doi.org/10.1108/ils-06-2022-0076
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Sailer, Michael, Stadler, Matthias, Botes, Elouise, Fischer, Frank, & Greiff, Samuel (2022). Science knowledge and trust in medicine affect individuals' behavior in pandemic crises. European Journal of Psychology of Education, 37(1), 279-292. https://doi.org/10.1007/s10212-021-00529-1
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Ninaus, Manuel & Sailer, Michael (2022). Zwischen Mensch und Maschine: Künstliche Intelligenz zur Förderung von Lernprozessen. Lernen und Lernstörungen, 11(4), 213-224. https://doi.org/10.1024/2235-0977/a000386
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2021

Sailer, Michael, Schultz-Pernice, Florian, & Fischer, Frank (2021). Contextual facilitators for learning activities involving technology in higher education: the C♭-model. Computers in Human Behavior, 121, 106794. https://doi.org/10.1016/j.chb.2021.106794
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Sailer, Michael, Murböck, Julia, & Fischer, Frank (2021). Digital learning in schools: what does it take beyond digital technology?. Teaching and Teacher Education, 103, 103346. https://doi.org/10.1016/j.tate.2021.103346
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Lohr, Anne, Sailer, Michael, Schultz-Pernice, Florian, Vejvoda, Johanna, Murböck, Julia, Heitzmann, Nicole, Giap, Shayla, & Fischer, Frank (2021). Digitale Bildung an bayerischen Schulen vor und während der Corona-Pandemie. München: vbw Bayern.
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Bai, Shurui, Hew, Khe Foon, Sailer, Michael, & Jia, Chengyuan (2021). From top to bottom: how positions on different types of leaderboard may affect fully online student learning performance, intrinsic motivation, and course engagement. Computers & Education, 173, 104297. https://doi.org/10.1016/j.compedu.2021.104297
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Tolks, Daniel & Sailer, Michael (2021). Gamification als didaktisches Mittel in der Hochschulbildung. In Digitalisierung in Studium und Lehre gemeinsam gestalten: innovative Formate, Strategien und Netzwerke (pp. 515-532). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-32849-8_29
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Sailer, Michael & Sailer, Maximilian (2021). Gamification of in‐class activities in flipped classroom lectures. British Journal of Educational Technology, 52(1), 75-90. https://doi.org/10.1111/bjet.12948
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Stadler, Matthias, Sailer, Michael, & Fischer, Frank (2021). Knowledge as a formative construct: a good alpha is not always better. New Ideas in Psychology, 60, 100832. https://doi.org/10.1016/j.newideapsych.2020.100832
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Radkowitsch, Anika, Sailer, Michael, Schmidmaier, Ralf, Fischer, Martin R., & Fischer, Frank (2021). Learning to diagnose collaboratively – effects of adaptive collaboration scripts in agent-based medical simulations. Learning and Instruction, 75, 101487. https://doi.org/10.1016/j.learninstruc.2021.101487
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Lohr, Anne, Stadler, Matthias, Schultz-Pernice, Florian, Chernikova, Olga, Sailer, Maximilian, Fischer, Frank, & Sailer, Michael (2021). On powerpointers, clickerers, and digital pros: investigating the initiation of digital learning activities by teachers in higher education. Computers in Human Behavior, 119, 106715. https://doi.org/10.1016/j.chb.2021.106715
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Bauer, Elisabeth, Sailer, Michael, Kiesewetter, Jan, Fischer, Martin R., & Fischer, Frank (2021). Pre-service teachers' argumentations in the context of assessment. E. de Vries, Y. Hod, J. Ahn (Eds.), Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021, Bochum, Germany, June 8-11, 2021(pp. 669-672). International Society of the Learning Sciences.
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Fink, Maximilian C., Radkowitsch, Anika, Bauer, Elisabeth, Sailer, Michael, Kiesewetter, Jan, Schmidmaier, Ralf, Siebeck, Matthias, Fischer, Frank, & Fischer, Martin R. (2021). Simulation research and design: a dual-level framework for multi-project research programs. Educational Technology Research and Development, 69(2), 809-841. https://doi.org/10.1007/s11423-020-09876-0
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Seufert, Sabine, Guggemos, Josef, & Sailer, Michael (2021). Technology-related knowledge, skills, and attitudes of pre- and in-service teachers: the current situation and emerging trends. Computers in Human Behavior, 115, 106552. https://doi.org/10.1016/j.chb.2020.106552
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Sailer, Michael, Stadler, Matthias, Schultz-Pernice, Florian, Franke, Ulrike, Schöffmann, Carola, Paniotova, Viktoriia, Husagic, Lana, & Fischer, Frank (2021). Technology-related teaching skills and attitudes: validation of a scenario-based self-assessment instrument for teachers. Computers in Human Behavior, 115, 106625. https://doi.org/10.1016/j.chb.2020.106625
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Tolks, Daniel, Romeike, Bernd F. M., Ehlers, Jan, Kuhn, Sebastian, Kleinsorgen, Christin, Huber, Johanna, Fischer, Martin R., Bohne, Christoph, Merz, Luisa, Sailer, Michael, & Hege, Inga (2021). The online inverted classroom model (oICM): a blueprint to adapt the inverted classroom to an online learning setting in medical and health education [version 2]. MedEdPublish, 9(1), 113. https://doi.org/10.15694/mep.2020.000113.2
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Stadler, Matthias, Kolb, Nicola, & Sailer, Michael (2021). The right amount of pressure: implementing time pressure in online exams. Distance Education, 42(2), 219-230. https://doi.org/10.1080/01587919.2021.1911629
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2020

Bauer, Elisabeth, Fischer, Frank, Kiesewetter, Jan, Williamson Shaffer, David, Fischer, Martin R., Zottmann, Jan M., & Sailer, Michael (2020). Diagnostic activities and diagnostic practices in medical education and teacher education: an interdisciplinary comparison. Frontiers in Psychology, 11, 562665. https://doi.org/10.3389/fpsyg.2020.562665
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Kiesewetter, Jan, Sailer, Michael, Jung, Valentina M., Schönberger, Regina, Bauer, Elisabeth, Zottmann, Jan M., Hege, Inga, Zimmermann, Hanna, Fischer, Frank, & Fischer, Martin R. (2020). Learning clinical reasoning: how virtual patient case format and prior knowledge interact. BMC Medical Education, 20(1), 73. https://doi.org/10.1186/s12909-020-1987-y
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Bauer, Elisabeth, Sailer, Michael, Kiesewetter, Jan, Williamson Shaffer, David, Schulz, Claudia, Pfeiffer, Jonas, Gurevych, Iryna, Fischer, Martin R., & Fischer, Frank (2020). Pre-service teachers' diagnostic argumentation: what is the role of conceptual knowledge and cross-domain epistemic activities?. M. Gresalfi, I. S. Horn (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, June 19-23, 2020, Nashville, Tennessee, USA, volume 4(pp. 2399-2400). International Society of the Learning Sciences.
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Tolks, Daniel, Lampert, Claudia, Dadaczynski, Kevin, Maslon, Eveline, Paulus, Peter, & Sailer, Michael (2020). Spielerische Ansätze in Prävention und Gesundheitsförderung: Serious Games und Gamification. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 63(6), 698-707. https://doi.org/10.1007/s00103-020-03156-1
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Sailer, Michael & Homner, Lisa (2020). The gamification of learning: a meta-analysis. Educational Psychology Review, 32(1), 77-112. https://doi.org/10.1007/s10648-019-09498-w
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2019

Schulz, Claudia, Meyer, Christian M., Kiesewetter, Jan, Sailer, Michael, Bauer, Elisabeth, Fischer, Martin R., Fischer, Frank, & Gurevych, Iryna (2019). Analysis of automatic annotation suggestions for hard discourse-level tasks in expert domains. Anna Korhonen, David Traum, Lluís Màrquez (Eds.), Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, July 28 - August, 2019, Florence, Italy(pp. 2761-2772). Stroudsburg, PA: Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P19-1265
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Pfeiffer, Jonas, Meyer, Christian M., Schulz, Claudia, Kiesewetter, Jan, Zottmann, Jan, Sailer, Michael, Bauer, Elisabeth, Fischer, Frank, Fischer, Martin R., & Gurevych, Iryna (2019). FAMULUS: interactive annotation and feedback generation for teaching diagnostic reasoning. Sebastian Padó, Ruihong Huang (Eds.), Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, November 3–7, 2019, Hong Kong, China(pp. 73-78). Stroudsburg, PA: Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/D19-3013
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Tolks, Daniel, Sailer, Michael, Dadaczynski, Kevin, Lampert, Claudia, Huberty, Julia, Paulus, Peter, & Horstmann, David (2019). ONYA - the wellbeing game: how to use gamification to promote wellbeing. Information, 10(2), 58. https://doi.org/10.3390/info10020058
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Bauer, Elisabeth, Sailer, Michael, Kiesewetter, Jan, Schulz, Claudia, Pfeiffer, Jonas, Gurevych, Iryna, Fischer, Martin R., & Fischer, Frank (2019). Using ENA to analyze pre-service teachers' diagnostic argumentations: a conceptual framework and initial applications. Brendan Eagan, Morten Misfeldt, Amanda Siebert-Evenstone (Eds.), Advances in quantitative ethnography: First International Conference, ICQE 2019, Madison, WI, USA, October 20–22, 2019, Proceedings(pp. 14-25). Cham: Springer. https://doi.org/10.1007/978-3-030-33232-7_2
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2018

Schulz, Claudia, Sailer, Michael, Kiesewetter, Jan, Bauer, Elisabeth, Fischer, Frank, Fischer, Martin R., & Gurevych, Iryna (2018). Automatic recommendations for data coding: a use case from medical and teacher education. Wilco Hazeleger, Adriënne Mendrik, Ben van Werkhoven, Rob van Nieuwpoort, Raül Sirvent Pardell (Eds.), 2018 IEEE 14th International Conference on e-Science (e-Science), 29 October - 1 November 2018, Amsterdam, Netherlands(pp. 364-365). Piscataway, NJ: IEEE. https://doi.org/10.1109/escience.2018.00100
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Schulz, Claudia, Meyer, Christian M., Sailer, Michael, Kiesewetter, Jan, Bauer, Elisabeth, Fischer, Frank, Fischer, Martin R., & Gurevych, Iryna (2018). Challenges in the automatic analysis of students' diagnostic reasoning. preprint. https://doi.org/10.48550/arXiv.1811.10550
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Sailer, Michael, Schultz-Pernice, Florian, Chernikova, Olga, Sailer, Maximilian, & Fischer, Frank (2018). Digitale Bildung an bayerischen Hochschulen - Ausstattung, Strategie, Qualifizierung und Medieneinsatz. München: vbw Bayern.
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2017

Sailer, Michael, Murböck, Julia, & Fischer, Frank (2017). Digitale Bildung an bayerischen Schulen – Infrastruktur, Konzepte, Lehrerbildung und Unterricht. München: vbw Bayern.
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Sailer, Michael, Hense, Jan, Mandl, Heinz, & Klevers, Markus (2017). Fostering development of work competencies and motivation via gamification. In Martin Mulder (Ed.), Competence-based vocational and professional education: bridging the worlds of work and education (pp. 795-818). Cham: Springer. https://doi.org/10.1007/978-3-319-41713-4_37
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Sailer, Michael, Hense, Jan Ulrich, Mayr, Sarah Katharina, & Mandl, Heinz (2017). How gamification motivates: an experimental study of the effects of specific game design elements on psychological need satisfaction. Computers in Human Behavior, 69, 371-380. https://doi.org/10.1016/j.chb.2016.12.033
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2016

Sailer, Michael (2016). Die Wirkung von Gamification auf Motivation und Leistung: empirische Studien im Kontext manueller Arbeitsprozesse. Wiesbaden: Springer Fachmedien. https://doi.org/10.1007/978-3-658-14309-1
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Zugl.: Dissertation, Ludwig-Maximilians-Universität München, 2016

Klevers, Markus, Sailer, Michael, & Günthner, Willibald A. (2016). Implementation model for the gamification of business processes: a study from the field of material handling. Toshiyuki Kaneda, Hidehiko Kanegae, Yusuke Toyoda, Paola Rizzi (Eds.), Simulation and gaming in the network society(pp. 173-184). Singapore: Springer. https://doi.org/10.1007/978-981-10-0575-6_14
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2014

Hense, Jan, Klevers, Markus, Sailer, Michael, Horenburg, Tim, Mandl, Heinz, & Günthner, Willibald (2014). Using gamification to enhance staff motivation in logistics. Lecture Notes in Computer Science, 8264, 206-213. https://doi.org/10.1007/978-3-319-04954-0_24
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Published in: Frontiers in Gaming Simulation: 44th International Simulation and Gaming Association Conference, ISAGA 2013 and 17th IFIP WG 5.7 Workshop on Experimental Interactive Learning in Industrial Management, Stockholm, Sweden, June 24-28, 2013. Revised Selected Papers. Conference proceedings. Editors: Sebastiaan A. Meijer, Riitta Smeds.

2013

Sailer, Michael, Hense, Jan, Mandl, Heinz, & Klevers, Markus (2013). Psychological perspectives on motivation through gamification. Interaction Design and Architecture(s) - IxD&A, (19), 28-37. https://doi.org/10.55612/s-5002-019-002
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