S. Hüsing, C. Schulte, S. Sparmann, and M. Bolte, “Using Worked Examples for Engaging in Epistemic Programming Projects,”10.1145/3626252.3630961__2024, doi:10.1145/3626252.3630961 .

L. Höper and C. Schulte, “Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies,”10.15388/infedu.2024.19__Informatics in Education, 2024, doi:10.15388/infedu.2024.19 .

S. Hüsing, C. Schulte, and F. Winkelnkemper, “Epistemic Programming,” in Computer Science Education, Bloomsbury Academic, 2023.

L. Höper and C. Schulte, “Paradigmenwechsel vom klassischen zum datengetriebenen Problemlösen im Informatikunterricht,” MNU journal, vol. 76, no. 4, pp. 314–320, 2023.

F. Winkelnkemper, L. Höper, and C. Schulte, “ARIadne – An Explanation Model for Digital Artefacts,”10.15388/infedu.2024.09__Informatics in Education, 2023, doi:10.15388/infedu.2024.09 .

L. Höper and C. Schulte, “The data awareness framework as part of data literacies in K-12 education,”10.1108/ils-06-2023-0075__Information and Learning Sciences, 2023, doi:10.1108/ils-06-2023-0075 .

L. Terfloth, M. Schaffer, H. M. Buhl, and C. Schulte, “Adding Why to What? Analyses of an Everyday Explanation,”10.1007/978-3-031-44070-0_13__presented at the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023), Lisboa, 2023, doi:10.1007/978-3-031-44070-0_13 .

S. Sparmann, S. Hüsing, and C. Schulte, “JuGaze: A Cell-based Eye Tracking and Logging Tool for Jupyter Notebooks,”10.1145/3631802.3631824__2023, doi:10.1145/3631802.3631824 .

S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,”10.52041/serj.v21i2.46__STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi:10.52041/serj.v21i2.46 .

L. Höper, S. Podworny, C. Schulte, and D. Frischemeier, “Exploration of Location Data: Real Data in the Context of Interaction with a Cellular Network,”10.52041/iase.nkppy__2022, doi:10.52041/iase.nkppy .

F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, and C. Schulte, “Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities,” in Society for Information Technology &; Teacher Education International Conference, 2022, pp. 1407–1413.

C. Schulte and F. Winkelnkemper, “Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik der Informatik,” in Theologie im Übergang - Identität - Digitalisierung - Dialog, Freiburg im Breisgau: Herder, 2022, pp. 117–135.

T. Huhmann and F. Winkelnkemper, “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS,”10.21125/edulearn.2022.2416__in EDULEARN22 Proceedings, 2022, pp. 10017–10026, doi:10.21125/edulearn.2022.2416 .

T. Huhmann, K. Eilerts, and F. Winkelnkemper, “Pentomino Digital - Mit Einer App Geometrie Lernen,” Mathematik differenziert, no. 4–2022, pp. 42–45, 2022.

S. Podworny, Y. Fleischer, and S. Hüsing, “Grade 6 Students’ Perception and Use of Data-Based Decision Trees,”10.52041/iase.icots11.t2h3__2022, doi:10.52041/iase.icots11.t2h3 .

S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School,”10.52041/iase.zwwoh__2022, doi:10.52041/iase.zwwoh .

Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,”10.52041/serj.v21i2.61__Statistics Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi:10.52041/serj.v21i2.61 .

Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter Notebooks for Teaching, Learning, and Doing Data Science,”10.52041/iase.icots11.t10e3__in Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, 2022, doi:10.52041/iase.icots11.t10e3 .

C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports. ACM, 2021.

C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science Education, Virtual Event, Germany, June 26 - July 1, 2021. ACM, 2021.

S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5 - Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,”10.18420/infos2021‑w278__in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 327, doi:10.18420/infos2021‑w278 .

L. Höper and C. Schulte, “Datenbewusstsein: Aufmerksamkeit für die eigenen Daten,”10.18420/infos2021‑f235__in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, pp. 73–82, doi:10.18420/infos2021‑f235 .

G. Große-Bölting, D. K.-H. Gerstenberger, L. Gildehaus, A. Mühling, and C. Schulte, “Identity in K-12 Computer Education Research: A Systematic Literature Review,”10.1145/3446871.3469757__in ICER 2021: ACM Conference on International Computing Education Research, Virtual Event, USA, August 16-19, 2021, 2021, pp. 169–183, doi:10.1145/3446871.3469757 .

C. Schulte and B. A. Becker, “ITiCSE 2021 recap,”10.1145/3483403.3483405__ACM SIGCSE Bull., vol. 53, no. 3, pp. 3–4, 2021, doi:10.1145/3483403.3483405 .

L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,”10.1145/3488042.3490509__2021, doi:10.1145/3488042.3490509 .

S. Podworny et al., “Using data cards for teaching data based decision trees in middle school,”10.1145/3488042.3489966__in Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, 2021, p. 39:1-39:3, doi:10.1145/3488042.3489966 .

S. Hüsing, “Epistemic Programming - An insight-driven programming concept for Data Science,”10.1145/3488042.3490510__in Koli Calling ’21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18 - 21, 2021, 2021, p. 42:1-42:3, doi:10.1145/3488042.3490510 .

K. Bovermann, Y. Fleischer, S. Hüsing, and C. Opitz, “Künstliche Intelligenz und maschinelles Lernen im Informatikunterricht der Sek. I mit Jupyter Notebooks und Python am Beispiel von Entscheidungsbäumen und künstlichen neuronalen Netzen,”10.18420/infos2021‑w283__in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 319, doi:10.18420/infos2021‑w283 .

L. Höper and C. Schulte, “Datenbewusstsein im Kontext digitaler Kompetenzen für einen selbstbestimmten Umgang mit datengetriebenen digitalen Artefakten,”10.18420/informatik2021-136__in 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science &; Sustainability, Berlin, Germany, 27. September - 1. Oktober, 2021, Bonn, 2021, pp. 1623–1632, doi:10.18420/informatik2021-136 .

L. Höper, S. Hüsing, H. Malatyali, C. Schulte, and L. Budde, “Methodik für Datenprojekte im Informatikunterricht,” LOG IN, vol. 41, no. 1, pp. 31–38, 2021.

D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, and F. Winkelnkemper, “Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern,” 2021.

D. K.-H. Gerstenberger, F. Winkelnkemper, and C. Schulte, “Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden,” 9. Fachtagung Hochschuldidaktik Informatik (HDI), p. 49, 2021.

L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz,”10.18420/infos2021‑a230__in 19. GI-Fachtagung Informatik und Schule, INFOS 2021, Wuppertal, Germany, September 8-10, 2021, 2021, vol. P-313, p. 345, doi:10.18420/infos2021‑a230 .

L. Budde, Entwicklung und Rekonstruktion einer interaktionsgeprägten Sichtweise auf das komplementäre Mensch-Maschine-Verhältnis. University of Paderborn, Germany, 2021.

D. Passey et al., “Computers and Education – Recognising Opportunities and Managing Challenges,” in Advancing Research in Information and Communication Technology, vol. AICT-600, M. Goedicke, E. Neuhold, and K. Rannenberg, Eds. Springer, Cham, 2021, pp. 129–152.

S. Podworny, L. Höper, Y. Fleischer, S. Hüsing, and C. Schulte, “Data Science ab Klasse 5–Konkrete Unterrichtsvorschläge für künstliche Intelligenz unplugged und Datenbewusstsein,” INFOS 2021–19. GI-Fachtagung Informatik und Schule, 2021.

L. Höper et al., “Zur neuen Bedeutung von Daten in Data Science und künstlicher Intelligenz,” INFOS 2021–19. GI-Fachtagung Informatik und Schule, 2021.

S. Hüsing, N. Weiser, and R. Biehler, “Faszination 3D-Film: Entwicklung einer 3D-Konstruktion,” mathematik lehren, vol. 2021, no. 228, pp. 23–27, 2021.

K. J. Rohlfing et al., “Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems,”10.1109/tcds.2020.3044366__IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 3, pp. 717–728, 2021, doi:10.1109/tcds.2020.3044366 .

D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction to data science education in secondary schools: Teaching and learning about data exploration with&;scp&;CODAP&;/scp&;using survey data,”10.1111/test.12283__Teaching Statistics, vol. 43, no. , pp. 82–89, 2021, doi:10.1111/test.12283 .

T. Huhmann, K. Eilterts, C. Schulte, and F. Winkelnkemper, “Der Darstellungsflüchtigkeit im Geometrieunterricht durch digitale Unterstützung entgegenwirken,” in Digitales Lernen in der Grundschule II: Aktuelle Trends in Forschung und Praxis, Waxmann Verlag, 2020.

F. Winkelnkemper, C. Schulte, K. Eilerts, D. Bechinie, and T. Huhmann, “The Interdisciplinary Development of an Educational Game for Primary School Children--Lessons Learned,” in EdMedia+ Innovate Learning, 2020, pp. 522–529.

L. Terfloth, L. Budde, and C. Schulte, “Combining Ideas and Artifacts: An Interaction-Focused View on Computing Education Using a Cybersecurity Example,” 2020.

M. E. Webb et al., “Machine learning for human learners: opportunities, issues, tensions and threats,” Educational Technology Research and Development, pp. 1–22, 2020.

J. Magenheim, “&; Big Data&; aus der Perspektive von Informatischer Bildung und Medienpädagogik,” MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung, vol. 37, pp. 139–163, 2020.

J. Magenheim and C. Schulte, “Data science education,” Encyclopedia of Education and Information Technologies. Cham: Springer, 2020.

C. Schulte, L. Budde, and F. Winkelnkemper, “Programmieren - Lehren und Lernen mit und über Medien,” in Mobile Medien im Schulkontext, Springer, 2020, pp. 215–240.

S. A. Opel and M. Schlichtig, “Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II,”https://doi.org/10.3278/6004722w__in Sammelband der 27. Fachtagung der BAG Berufliche Bildung, Siegen, 2020, vol. 55, pp. 176–194, doi:https://doi.org/10.3278/6004722w .

L. Budde, C. Schulte, H. M. Buhl, and A. Muehling, “Understanding and Explaining Digital Artefacts - the Role of a Duality (Accepted Paper - Digital Publication Follows),” Seventh International Conference on Learning and Teaching in Computing and Engineeringe, 2020.

S. Opel, L. Nordemann, C. Schulte, and C. Tenberge, “Mensch, Maschine! Ein unplugged-Einstieg in KI und maschinelles Lernen.,” Merz Medien + Erziehung. Zeitschrift für Medienpädagogik. , 2020.

R. Biehler et al., “Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education,” in New Skills in the Changing World of Statistics Education Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), 2020.

L. Budde et al., “Data Science Education in Secondary School: How to Develop Statistical Reasoning When Exploring Data Using CODAP,” in New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020, P. Arnold, Ed. Voorborg, The Netherlands: ISI/IASE, 2020.

C. Izu et al., “Program Comprehension: Identifying Learning Trajectories for Novice Programmers,” in Proceedings of the 2019 (ACM) Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019, 2019, pp. 261–262.

F. Kapp and C. Schulte, “Einsatz von Jupyter Notebooks am Beispiel eines fiktiven Kriminalfalls,” in Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund, 2019, pp. 247–256.

K. Müller, C. Schulte, and J. Magenheim, “Zur Relevanz eines Prozessbereiches Interaktion und Exploration im Kontext informatischer Bildung im Primarbereich,” in Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund, 2019, pp. 139–148.

A.-K. Schmidt and C. Schulte, “Das RetiBNE Café,” in Informatik für alle, 18. GI-Fachtagung Informatik und Schule, (INFOS) 2019, 16.-18. September 2019, Dortmund, 2019, pp. 315–324.

A. Wilke and J. Magenheim, “Critical Incidents for Technology Enhanced Learning in Vocational Education and Training,” in IEEE Global Engineering Education Conference, EDUCON 2019, Dubai, United Arab Emirates, April 8-11, 2019, 2019, pp. 892–899.

O. Köller et al., Zieldimensionen für Multiplikatorinnen und Multiplikatoren früher MINT-Bildung. Verlag Barbara Budrich, 2019.

A. Franke-Wiekhorst, C. Günther, K. Brünger, J. Magenheim, and R. Romeike, Der Informatikkreis “: Kinder von drei bis zehn Jahren beim Forschen in Informatik begleiten - ein methodisch-didaktisches Material,” GdSU-Journal,(9), pp. 10321, 2019.

M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material,” in ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings, Lanarca, 2019, vol. 12, pp. 65–73.

S. A. Opel et al., “Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II,” in INFOS, 2019, vol. P-288, pp. 285–294.

M. Schlichtig et al., “Maschinelles Lernen im Unterricht mit Jupyter Notebook,” in INFOS, 2019, vol. P-288, p. 385.

S. A. Opel, M. Schlichtig, and C. Schulte, “Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress),” in WiPSCE, 2019, p. 11:1-11:2.

F. Winkelnkemper and R. Keil, “MediaThing – A Learning Scenario Targeting on Research Skills,” in Proceedings of EdMedia: World Conference on Educational Media and Technology., 2018, pp. 2397–2406.

T. Brinda, I. Diethelm, L. Hellmig, J. Magenheim, R. Romeike, and U. Schroeder, “Kritische Entgegnung auf die Studie ‘Zur Relevanz informatischer Bildung in der Schule für den Erwerb computer- bzw. informationsbezogener Kompetenzen,’” MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung, vol. 33, no. Didaktik der Informatik, pp. 1–10, 2018.

J. Magenheim et al., “Evaluation of Learning Informatics in Primary Education - Views of Teachers and Students,” in Informatics in Schools. Fundamentals of Computer Science and Software Engineering - 11th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, (ISSEP) 2018, St. Petersburg, Russia, October 10-12, 2018, Proceedings, 2018, pp. 339–353.

R. Bednarik, C. Schulte, L. Budde, B. Heinemann, and H. Vrzakova, “Eye-movement Modeling Examples in Source Code Comprehension: A Classroom Study,” in Proceedings of the 18th Koli Calling International Conference on Computing Education Research, Koli, Finland, November 22-25, 2018, 2018, pp. 2:1-2:8.

K. Müller and C. Schulte, “Are children perceiving robots as supporting or replacing humans?: first empirical results and classification of preconceptions within a theoretical framework,” in Proceedings of the 13th Workshop in Primary and Secondary Computing Education, WiPSCE 2018, Potsdam, Germany, October 04-06, 2018, 2018, pp. 10:1-10:4.

C. Schulte, J. Krüger, A. Gödecke, and A.-K. Schmidt, “The computing repair cafe: a concept for repair cafes in computing edcuation,” in Proceedings of the 13th Workshop in Primary and Secondary Computing Education, WiPSCE 2018, Potsdam, Germany, October 04-06, 2018, 2018, pp. 24:1-24:6.

R. Bednarik and C. Schulte, Eds., Proceedings of the Workshop on Eye Movements in Programming, EMIP@ETRA 2018, Warsaw, Poland, June 15, 2018. (ACM), 2018.

S. Sentance, E. Barendsen, and C. Schulte, Computer Science Education: Perspectives on Teaching and learning in school. Bloomsbury Publishing, 2018.

B. Heinemann et al., “Drafting a Data Science Curriculum for Secondary Schools,” in Koli Calling, 2018, pp. 17:1-17:5.

C. Schulte and L. Budde, “A Framework for Computing Education: Hybrid Interaction System: The need for a bigger picture in computing education,” in Koli Calling, 2018, pp. 12:1-12:10.

F. Winkelnkemper and R.  Keil, “MediaThing – A Learning Scenario Targeting on Research Skills,” in Proceedings of EdMedia: World Conference on Educational Media and Technology, 2018.

C. Schulte, J. Magenheim, K. Müller, and L. Budde, “The design and exploration cycle as research and development framework in computing education,” in 2017 (IEEE) Global Engineering Education Conference, (EDUCON) 2017, Athens, Greece, April 25-28, 2017, 2017, pp. 867–876.

N. Bergner et al., “Zieldimensionen für frühe informatische Bildung im Kindergarten und in der Grundschule,” in Informatische Bildung zum Verstehen und Gestalten der digitalen Welt, Proceedings der 17. GI-Fachtagung Informatik und Schule, (INFOS) 2017, 13.-15. September 2017, Oldenburg, 2017, pp. 53–62.

K. Müller and C. Schulte, “Ein Modell zur Analyse von Vorstellungen über Roboter und ihrer Funktionsweise,” in Informatische Bildung zum Verstehen und Gestalten der digitalen Welt, Proceedings der 17. GI-Fachtagung Informatik und Schule, (INFOS) 2017, 13.-15. September 2017, Oldenburg, 2017, pp. 109–118.

L. Budde, B. Heinemann, and C. Schulte, “A theory based tool set for analysing reading processes in the context of learning programming,” in Proceedings of the 12th Workshop on Primary and Secondary Computing Education, WiPSCE 2017, Nijmegen, The Netherlands, November 8-10, 2017, 2017, pp. 83–86.

N. Bergner et al., “Zieldimensionen informatischer Bildung im Elementar-und Primarbereich,” Frühe informatische Bildung - Ziele und Gelingensbedingungen für den Elementar- und Primarbereich. Berlin, 2017.

H. Danielsiek et al., “Kompetenzbasierte Gestaltungsempfehlungen für Informatik-Tutorenschulungen,” INFORMATIK 2017, 2017.

R. Biehler and C. Schulte, “PERSPECTIVES FOR AN INTERDISCIPLINARY DATA SCIENCE CURRICULUM IN GERMAN SECONDARY SCHOOLS,” in Paderborn Symposium on Data Science Education at School Level, 2017, pp. 2–14.

F. Winkelnkemper and A. Oberhoff, “WebArena - R  ‘a spacious structures for \rquote  u r the learning locations of the future,” 2015, vol. 330, pp. 103–117.

T. Busjahn et al., “Eye movements in code reading: relaxing the linear order,” in ICPC, 2015, pp. 255–265.

V. Dagiene, C. Schulte, and T. Jevsikova, Eds., Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, ITiCS 2015, Vilnius, Lithuania, July 4-8, 2015. ACM, 2015.

R. Keil, H. Selke, and F. Winkelnkemper, “Twenty years of learning with the World Wide Web.” pp. 51–60, 2014.

F. Winkelnkemper and  Reinhard Keil, “Zwischen Design und Flexibilit\'22at - Zur Ergonomie des Flat Design,” 2014, vol. 2014, pp. 255–264.

M. Jakoblew , R. Keil, and F. Winkelnkemper, “Forschendes Lernen durch semantisches Positionieren,” in Proceedings der HDI 2014, 2014, pp. 74–84.

R. Keil, H. Selke, and F. Winkelnkemper, “Twenty years of learning with the World Wide Web.” pp. 51–60, 2014.

F. Winkelnkemper and R. Keil, “Zwischen Design und Flexibilit\'22at - Zur Ergonomie des Flat Design,” 2014, vol. 2014, pp. 255–264.

T. Busjahn, R. Bednarik, and C. Schulte, “What influences dwell time during source code reading?: analysis of element type and frequency as factors,” in ETRA, 2014, pp. 335–338.

T. Busjahn et al., “Eye tracking in computing education,” in ICER, 2014, pp. 3–10.

T. Busjahn, C. Schulte, and E. Kropp, “Developing Coding Schemes for Program Comprehension using Eye Movements,” in PPIG, 2014, p. 15.

C. Schulte, M. E. Caspersen, and J. Gal-Ezer, Eds., Proceedings of the 9th Workshop in Primary and Secondary Computing Education, WiPSCE 2014, Berlin, Germany, November 5-7, 2014. ACM, 2014.

R. Keil and F. Winkelnkemper, “Approaches for an informational separation of powers in learning platforms,” 2013, pp. 131–142.

Reinhard Keil, H. Selke, and F. Winkelnkemper, “Computer science and education - A struggle for creative sovereignty in society?,” FIfF-Kommunikation, pp. 61–65, 2013.

T. Busjahn and C. Schulte, “The use of code reading in teaching programming,” in Koli Calling, 2013, pp. 3–11.

J. Bennedsen and C. Schulte, “Object Interaction Competence Model v. 2.0,” in LaTiCE, 2013, pp. 9–16.

M. Buchholz, M. Saeli, and C. Schulte, “PCK and reflection in computer science teacher education,” in WiPSCE, 2013, pp. 8–16.

C. Schulte, “Reflections on the role of programming in primary and secondary computing education,” in WiPSCE, 2013, pp. 17–24.

H. Selke and F. Winkelnkemper, “The technical potential of digital boards,” 2012, pp. 171–182.