Prof. Dr. Rolf Biehler - List of publications in English language

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2023
Biehler, R., Frischemeier, D., Gould, R., & Pfannkuch, M. (2023). Impacts of Digitalization on Content and Goals of Statistics Education. In Pepin, Gueudet, & Choppin (Eds.), Handbook of Digital Resources in Mathematics Education. Cham: Springer International Publishing.
Biehler, R., Liebendörfer, M., Gueudet, G., Rasmussen, C., & Winsløw, C. (Eds.). (2022). Practice-Oriented Research in Tertiary Mathematics Education. Springer. (web)
Biehler, R., Liebendörfer, M., Gueudet, G., Rasmussen, C., & Winsløw, C. (2022). Practice-Oriented Research in Tertiary Mathematics Education – An Introduction. In Practice-Oriented Research in Tertiary Mathematics Education (pp. 1-20). (web)
Hoffmann, M., & Biehler, R. (2023). Implementing profession orientation as a design principle for overcoming Klein’s second discontinuity – preservice teacher’s perspectives on interface activities in the context of a geometry course. ZDM – Mathematics Education. (web)
Kortemeyer, J., & Biehler, R. (2023). Analyzing the Interface Between Mathematics and Engineering in Basic Engineering Courses. In Practice-Oriented Research in Tertiary Mathematics Education (pp. 669-692). (web)
Kortemeyer, J., & Biehler, R. (2023). The use of integrals for accumulation and mean values in basic electrical engineering courses. In T. Dreyfus, A. S. González-Martín, E. Nardi, J. Monaghan, & P. W. Thompson (Eds.), The Learning and Teaching of Calculus Across Disciplines – Proceedings of the Second Calculus Conference (pp. 121-124). MatRIC. (pdf)
Liebendörfer, M., Büdenbender-Kuklinski, C., Lankeit, E., Schürmann, M., Biehler, R., & Schaper, N. (2023). Framing Goals of Mathematics Support Measures. In Practice-Oriented Research in Tertiary Mathematics Education (pp. 91-117). (web)
Ostsieker, L., & Biehler, R. (2023). Supporting Students in Developing Adequate Concept Images and Definitions at University: The Case of the Convergence of Sequences. In Practice-Oriented Research in Tertiary Mathematics Education (pp. 181-201). (web)
2022
Biehler, R. (2022). Revisiting Fundamental Ideas for Statistics Education From the Perspective of Machine Learning and Its Applications. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. (web)
Biehler, R., De Veaux, R., Engel, J., Kazak, S., & Frischemeier, D. (2022). Editorial: Research on Data Science Education. Statistics Education Research Journal, 21(2). (web)
Fleischer, Y., Biehler, R., & Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics Education Research Journal, 21(2). (web)
Fleischer, Y., Hüsing, S., Biehler, R., Podworny, S., & Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. (web)
Griese, B., Nieszporek, R., & Biehler, R. (2022). Facilitators’views oncontent goals, learning obstacles, and teachingr esources inreference to conditional probability Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Feb 2022, Bozen-Bolzano, Italy. (web)
Liebendörfer, M., Göller, R., Gildehaus, L., Kortemeyer, J., Biehler, R., Hochmuth, R., Ostsieker, L., Rode, J., & Schaper, N. (2022). The role of learning strategies for performance in mathematics courses for engineers. International Journal of Mathematical Education in Science and Technology, 1-20. (web)
Liebendörfer, M., Angelo Profeta, Krämer, S., Schlüter, S., Becher, S., Biehler, R., Mai, T., & Schmitz, A. (2022). Enriching videos with interactive questions to enhance students’ cognitive activity: concept and implementation Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Feb 2022, Bozen-Bolzano, Italy. (web)
Nieszporek, R., Griese, B., & Biehler, R. (2022). Facilitators’ Orientations Towards Learning Goals, Perceived Challenges, and Teaching Resources for a PD Course on Conditional Probability. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics. (web)
Podworny, S., Fleischer, Y., Stroop, D., & Biehler, R. (2022). An example of rich, real and multivariate survey data for use in school Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Feb 2022, Bozen-Bolzano, Italy,  (web)
2021
Biehler, R., & Fleischer, Y. (2021). Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks. Teaching Statistics, 43(S1), S133-S142. (web)
Frischemeier, D., Biehler, R., Podworny, S., & Budde, L. (2021). A first introduction to data science education in secondary schools: Teaching and learning about data exploration with CODAP using survey data. Teaching Statistics, 43(S1), S182-S189. (web)
Lünne, S., Schnell, S., & Biehler, R. (2021). Motivation of out-of-field teachers for participating in professional development courses in mathematics. European Journal of Teacher Education, 44(5), 688-705. (web)
Pepin, B., Biehler, R., & Gueudet, G. (2021). Mathematics in Engineering Education: a Review of the Recent Literature with a View towards Innovative Practices. International Journal of Research in Undergraduate Mathematics Education(Online First). (web)
Podworny, S., & Biehler, R. (2021). The process of actively building a model for a randomization test – insights into learners’ modeling activities based on a case study. Mathematical Thinking and Learning. (web)
Schürmann, M., Panse, A., Shaikh, Z., Biehler, R., Schaper, N., Liebendörfer, M., & Hilgert, J. (2021). Consultation Phases in Mathematics Learning and Support Centres. International Journal of Research in Undergraduate Mathematics Education, 8(1), 94-120. (web)
Winsløw, C., Biehler, R., Jaworski, B., Rønning, F., & Wawro, M. (2021). Education and professional development of university mathematics teachers. In V. Durand-Guerrier, R. Hochmuth, E. Nardi, & C. Winsløw (Eds.), Research and Development in University Mathematics Education. Overview Produced by the International Network for Research on Didactics of University Mathematics (pp. 59-79): Routledge. (web)
2020
Barzel, B., & Biehler, R. (2020). Theory based design of professional development for upper secondary teachers – focusing on the content specific use of digital tools. In S. Zehetmeier, D. Potari, & M. Ribeiro (Eds.), Professional Development and Knowledge of Mathematics Teachers (pp. 163-192). Routledge (Taylor & Francis). (web)
Biehler, R., & Durand-Guerrier, V. (2020). TWG3 report: University Mathematics Didactic Research on Number Theory, Algebra, Discrete Mathematics, Logic. In T. Hausberger, M. Bosch, & F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020) (pp. 283-287). Bizerte, Tunisia: University of Carthage and INDRUM. (pdf)
Biehler, R., Fleischer, Y., Budde, L., Frischemeier, D., Gerstenberger, D., Podworny, S., & Schulte, C. (2020). Data science education in secondary school: Teaching and learning decision trees with CODAP and JUPYTER notebooks as an example of integrating machine learning into statistics education. In P. Arnold (Ed.), New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020. ISI/IASE. (pdf)

Budde, L., Frischemeier, D., Biehler, R., Fleischer, Y., Gerstenberger, D., Podworny, S., & Schulte, C. (2020). Data science education in secondary school: How to develop statistical reasoning when exploring data using CODAP. In P. Arnold (Ed.), New Skills in the Changing World of Statistics Education: Proceedings of the Roundtable conference of the International Association for Statistical Education (IASE), July 2020. Voorburg: ISI/IASE. (pdf)

Feudel, F., Biehler, R. (2020). Students’ Understanding of the Derivative Concept in the Context of Mathematics for Economics. Journal für Mathematik-Didaktik. (web)
Hoffmann, M., & Biehler, R. (2020). Designing a Geometry Capstone Course for Student Teachers: Bridging the gap between academic mathematics and school mathematics in the case of congruence. In T. Hausberger, M. Bosch, & F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020) (pp. 338-347). Bizerte, Tunisia: University of Carthage and INDRUM. (pdf)

Kempen, L., & Biehler, R. (2020). Using Figurate Numbers in Elementary Number Theory – Discussing a ‘Useful’ Heuristic From the Perspectives of Semiotics and Cognitive Psychology. Frontiers in Psychology, 11(1180). (web)

Kempen, L., Krämer, S., & Biehler, R. (2020). Investigating high school graduates’ personal meaning of the notion of “mathematical proof”. In T. Hausberger, M. Bosch, & F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020) (pp. 358-367). Bizerte, Tunisia: University of Carthage and INDRUM. (pdf)
Lankeit, E., & Biehler, R. (2020). “I only know the absolute value function” – About students’ concept images and example spaces concerning continuity and differentiability. In T. Hausberger, M. Bosch, & F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020) (pp. 133-142). Bizerte, Tunisia: University of Carthage and INDRUM. (pdf)
Liebendörfer, M., Gildehaus, L., Göller, R., Kortemeyer, J., Biehler, R., Hochmuth, R., . . . Schaper, N. (2020). The Role of Learning Strategies for Performance in Mathematics Courses for Engineers. In T. Hausberger, M. Bosch, & F. Chelloughi (Eds.), Proceedings of the Third Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2020, 12-19 September 2020) (pp. 238-247). Bizerte, Tunisia: University of Carthage and INDRUM. (pdf)
Schürmann, M., Gildehaus, L., Liebendörfer, M., Schaper, N., Biehler, R., Hochmuth, R., Kuklinski, C., & Lankeit, E. (2020). Mathematics learning support centres in Germany—an overview. Teaching Mathematics and its Applications: An International Journal of the IMA. (web)
2019

Barzel, B., Biehler, R. (2019, angenommen). Theory-based design of professional development for upper secondary teachers – focusing on the content specific use of digital tools. Erscheint in Zehetmeier, S., Potari, D., & Ribeiro, M.  Professional Development and Knowledge of Mathematics Teachers. Oxon Routledge.

Biehler, R. (2019). Software for learning and for doing statistics and probability - Looking back and looking forward from a personal perspective. In J. M. Contreras, M. M. Gea, M. M. López-Martín and E. Molina-Portillo (Eds.), Proceedings of the Third International Virtual Congress of Statistical Education. Available at web

Biehler, R. with a reaction by Mogens Niss  (2019). Allgemeinbildung, Mathematical Literacy, and Competence Orientation. In H. N. Jahnke & L. Hefendehl-Hebeker (Eds.), Traditions in German-Speaking Mathematics Education Research (pp. 141-170). Cham: Springer International Publishing. (web)

Biehler, R. (2019). The transition from Calculus and to Analysis – Conceptual analyses and supporting steps for students. In J. Monaghan, E. Nardi & T. Dreyfus (Hrsg.), Calculus in upper secondary and beginning university mathematics – Conference proceedings (S. 4-17). Kristiansand, Norway: MatRIC. (pdf)

Frischemeier, D., & Biehler, R. (2019). Design of a teaching unit to develop primary school students ́ reasoning about uncertainty in multi-step chance experiments Decision Making Based on Data, IASE Satellite Conference,  DOI 10.52041/SRAP.19304 (pdf)

Kempen, L., & Biehler, R. (2018). Pre-Service Teachers’ Benefits from an Inquiry-Based Transition-to-Proof Course with a Focus on Generic Proofs. International Journal of Research in Undergraduate Mathematics Education 5(1), 27-55. doi:10.1007/s40753-018-0082-9. (web)

Kempen, L., & Biehler, R. (2019). Fostering first-year pre-service teachers’ proof competencies. ZDM, 51(5), 731-746. doi:10.1007/s11858-019-01035-x. Read only Copy

Kempen, L., & Biehler, R. (2019). Pre-Service Teachers’ Benefits from an Inquiry-Based Transition-to-Proof Course with a Focus on Generic Proofs. International Journal of Research in Undergraduate Mathematics Education, 5(1), 27-55.

Mai, T., & Biehler, R. (2019). On the introducation of vectors in German textbooks for uppersecondary school. In S. Rezat, F. Lianghuo, M. Hattermann, J. Schumacher & H. Wuschke (Hrsg.), Proceedings of the Third International Conference on Mathametics Textbook research and Development (S. 233-238). Paderborn: Universitätsbibliothek Paderborn.

Nieszporek, R. & Biehler, R.(2019). Retrospective competence assessment in a PD course on teaching statistics with digital tools in upper secondary schools. In: U. T. Jankvist, M. van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education, (pp. xxxx-yyyy). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.

2018

Biehler, R., Budde, L., Frischemeier, D., Heinemann, B., Podworny, S., Schulte, C., & Wassong, T. (Eds.). (2018). Paderborn Symposium on Data Science Education at School Level 2017: The Collected Extended Abstracts. Paderborn: Universitätsbibliothek Paderborn. (web)

Biehler, R., Frischemeier, D., & Podworny, S. (2018). Civic Engagement in Higher Education: A university course in civic statistics for mathematics preservice teachers. Zeitschrift für Hochschulentwicklung, 13(2), 169-182. (web)

Biehler, R., Frischemeier, D., & Podworny, S. (2018). Elementary preservice teachers’ reasoning about statistical modeling in a civic statistics context. ZDM Mathematics Education. (web) (read-only version)

Biehler, R., Frischemeier, D., Podworny, S., Wassong, T., Budde, L., Heinemann, B., & Schulte, C. (2018). Data Science and Big Data in Upper Secondary Schools: A Module to Build up First Components of Statistical Thinking in a Data Science Curriculum. Archives of Data Science, Series A (Online First), 5(1), 28. (web)

Biehler, R., Frischemeier, D., Reading, C., & Shaughnessy, J. M. (2018). Reasoning About Data. In D. Ben-Zvi, K. Makar, & J. Garfield (Eds.), International Handbook of Research in Statistics Education (pp. 139-192). Cham: Springer. (web)

Biehler, R., Lankeit, E., Neuhaus, S., Hochmuth, R., Kuklinski, C., Leis, E., . . . Schürmann, M. (2018). Different goals for pre-university mathematical bridging courses – Comparative evaluations, instruments and selected results. In V. Durand-Guerrier, R. Hochmuth, S. Goodchild, & N. M. Hogstad (Eds.), PROCEEDINGS of INDRUM 2018 Second conference of the International Network for Didactic Research in University Mathematics (pp. 467-476). University of Agder and INDRUM: Kristiansand, Norway. (pdf)

Biehler, R., Schulte, C. (2018). Perspectives for an interdisciplinary data science curriculum at German secondary schools. In R. Biehler, L. Budde, D. Frischemeier, B. Heinemann, S. Podworny, C. Schulte & T. Wassong (Eds.), Paderborn Symposium on Data Science Education at School Level 2017: The Collected Extended Abstracts (pp. 2-14). Paderborn: Universitätsbibliothek Paderborn. (pdf)

Fleischmann, Y., & Biehler, R. (2018). Students’ problems in the identification of subspaces in Linear Algebra. In V. Durand-Guerrier, R. Hochmuth, S. Goodchild, & N. M. Hogstad (Eds.), PROCEEDINGS of INDRUM 2018 Second conference of the International Network for Didactic Research in University Mathematics (pp. 224-233). University of Agder and INDRUM: Kristiansand, Norway. (pdf)

Frischemeier, D. & Biehler, R. (2018). Preservice teachers´ comparing groups with TinkerPlots - An exploratory video study. Statistics Education Research Journal 17(1), 35-60. (web)

Frischemeier, D., Biehler, R. (2018). Stepwise development of statistical literacy and thinking in a statistics course for elementary preservice teachers. In: T. Dooley, & G. Gueudet (Eds.), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1-5, 2017) (pp. 756-763). Dublin, Ireland: DCU Institute of Education and ERME.

Frischemeier, D., Podworny, S., & Biehler, R. (2018). Activities for Promoting Civic Statistical knowledge of preservice Teachers. In P. Kovács (Ed.), Proceedings of Challenges and Innovations in Statistics Education Multiplier Conference of ProCivicStat. University of Szeged. ISBN 978-963-306-575-4 (pdf)

Heinemann, B., Opel, S., Budde, L., Schulte, C., Frischemeier, D., Biehler, R., Podworny, S., Wassong, T. (2018). Drafting a Data Science Curriculum for Secondary Schools. In: 18th Koli Calling International Conference on Computing Education Research (Koli Calling ’18), November 22–25, 2018, Koli, Finland. ACM, New York, NY, USA. (web)

Kuklinski, C., Leis, E., Liebendörfer, M., Hochmuth, R., Biehler, R., Lankeit, E., . . . Schürmann, M. (2018). Evaluating Innovative Measures in University Mathematics – The Case of Affective Outcomes in a Lecture focused on Problem-Solving. In V. Durand-Guerrier, R. Hochmuth, S. Goodchild, & N. M. Hogstad (Eds.), PROCEEDINGS of INDRUM 2018 Second conference of the International Network for Didactic Research in University Mathematics (pp. 527-536). University of Agder and INDRUM: Kristiansand, Norway. (pdf)

Nieszporek, R. Biehler, R. & Griese, B. (2018). Developments of teachers’ knowledge facets in teaching statistics with digital tools measured with retrospective self-assessment. In M. A. Sorto, A. White, & L. Guyot (Eds.), Looking back, looking forward. Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10, July, 2018), Kyoto, Japan. Voorburg, The Netherlands: International Statistical Institute. (web)

Podworny, S., Frischemeier, D. & Biehler, R. (2018). Enhancing civic statistical knowledge of secondary preservice teachers for mathematics. In M. A. Sorto, A. White, & L. Guyot (Eds.), Looking back, looking forward. Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10, July, 2018), Kyoto, Japan. Voorburg, The Netherlands: International Statistical Institute. (web)

2017

Barzel, B., & Biehler, R. (2017). Design principles and domains of knowledge for the professionalization of teachers and facilitators - Two examples from the DZLM for upper secondary teachers. In S. Zehetmeier, B. Rösken-Winter, D. Potari, & M. Ribeiro (Eds.), Proceedings of the Third ERME Topic Conference on Mathematics Teaching, Resources and Teacher Professional Development (ETC3, October 5 to 7, 2016) (pp. 16-34). Berlin: Humboldt-Universität zu Berlin. (web)

Becher, S.; Biehler, R. (2017): Beliefs on benefits from learning higher mathematics at university for future secondary school teacher. In Göller, R.; Biehler, R.; Hochmuth, R.; Rück, H.-G. (Eds.): Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Kassel: Universität Kassel. Khdm-report 17-05, 256-259 (web)

Biehler, R.; Hochmuth, R. (2017): Relating different mathematical praxeologies as a challenge for designing mathematical content for bridging courses. In Göller, R.; Biehler, R.; Hochmuth, R.; Rück, H.-G. (Eds.): Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Kassel: Universität Kassel. Khdm-report 17-05, 14-20, (web)

Biehler, R., Hochmuth, R. (2017). Oberwolfach Papers on Mathematics in Undergraduate Study Programs. Challenges for Research. (Editorial und Guest Editors). International Journal for Research in Undergraduate Mathematics Education, 3, 1 (web)

Biehler, R.; Frischemeier, D.; Podworny, S. (2017): Design, realization and evaluation of a university course for preservice teachers on developing statistical reasoning and literacy with a focus on civic statistics. Invited paper presented at the World Statistics Congress 61, Marrakech, Marokko.

Biehler, R.; Frischemeier, D.; Podworny S. (2017): Elementary preservice teachers´ reasoning about modeling a "family factory" with TinkerPlots - A pilot study. Statistics Education Research Journal, 16(2), 244-289. (web)

Biehler, R.; Frischemeier, D.; Podworny S. (2017): Editorial: Reasoning about models and modelling in the context of informal statistical inference. Statistics Education Research Journal, 16(2), 8-12. (web)

Biehler, R., & Nieszporek, R. (2017). Upper secondary teachers’ stages of concern related to curricular innovations before and after a professional development course on teaching probability and statistics including the use of digital tools. In T. Dooley & G. Guedet (Eds.), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1 – 5, 2017) (pp. 2804-2811). Dublin, Ireland: DCU Institute of Education and ERME (web)

Colberg, C.; Mai, T.; Wilms, D.; Biehler, R. (2017): Studifinder: Developing e-learning materials for the transition from secondary school to university. In Göller, R.; Biehler, R.; Hochmuth, R.; Rück, H.-G. (Eds.): Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Kassel: Universität Kassel. Khdm-report 17-05, 466-470. (web)

Frischemeier, D., & Biehler, R. (2017). Stepwise development of statistical literacy and thinking in a statistics course for elementary preservice teachers. In T. Dooley & G. Guedet (Eds.), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1 – 5, 2017) (pp. 756-763). Dublin, Ireland: DCU Institute of Education and ERME. (web)

Göller, R.; Biehler, R.; Hochmuth, R.; Rück, H.-G. (Eds.) (2017): Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Kassel: Universität Kassel. Khdm-report 17-05. (web)

Jahnke, H. N., Biehler, R., Bikner-Ahsbahs, A., Gellert, U., Greefrath, G., Hefendehl-Hebeker, L., et al.. (2017). German-Speaking Traditions in Mathematics Education Research. In G. Kaiser (Ed.), Proceedings of the 13th International Congress on Mathematical Education: ICME-13 (pp. 305-319). Cham: Springer International Publishing. (web)

Kortemeyer, J., & Biehler, R. (2017). The interface between mathematics and engineering – problem solving processes for an exercise on oscillating circuits using ordinary differential equations. In T. Dooley & G. Guedet (Eds.), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1 – 5, 2017) (pp. 2153-2160). Dublin, Ireland: DCU Institute of Education and ERME. (web)

Kortemeyer, J.; Biehler, R. (2017): Conceptualizing students’ processes of solving a typical problem in the course „Principles of electrical engineering“ requiring higher mathematical methods. In Göller, R.; Biehler, R.; Hochmuth, R.; Rück, H.-G. (Hrsg.): Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Kassel: Universität Kassel. Khdm-report 17-05, 162-169. (web)

Liebendörfer, M., Hochmuth, R., Biehler, R., Schaper, N., Kuklinski, C., Khellaf, S., . . . Rothe, L. (2017). A framework for goal dimensions of mathematics learning support in universities. In T. Dooley & G. Guedet (Eds.), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1 – 5, 2017) (pp. 2177-2184). Dublin, Ireland: DCU Institute of Education and ERME. (web)

Mai, T.; Biehler, R. (2017): Design, conception and realization of an interactive manual for e-learning materials in a mathematical domain. In Göller, R.; Biehler, R.; Hochmuth, R.; Rück, H.-G. (Eds.): Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Kassel: Universität Kassel. Khdm-report 17-05, 486-490 (web)

Mai, T., Feudel, F., & Biehler, R. (2017). A vector is a line segment between two points? - Students’ concept definitions of a vector during the transition from school to university. In T. Dooley & G. Guedet (Eds.), Proceedings of the Tenth Congress of the European Society for Research in Mathematics Education (CERME10, February 1 – 5, 2017) (pp. 2185-2192). Dublin, Ireland: DCU Institute of Education and ERME. (web)

Podworny, S., Frischemeier, D. & Biehler, R. (2017). Design, realization and evaluation of a statistics course for preservice teachers for primary school in Germany. In A. Molnar (Ed.), Teaching Statistics in a Data Rich World. Proceedings of the Satellite Conference of the International Association of Statistics Education (IASE), July 2017, Rabat, Morocco.

2016

Becher, S., Biehler, R. (2016). Beliefs on benefits from learning higher mathematics at university for future secondary school teacher. In Göller, R., Biehler, R., Hochmuth, R., Rück, H.-G. (Eds.). Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Khdm-report 17-05, (pp. 256-259). Kassel. Universität Kassel (web)

Biehler, R. (2016). Professional Development for teaching probabilty and inference statistics with digital tools at upper secondary level. Paper presented at the 13th International Congress on Mathematics Education (ICME13), Hamburg (web)

Biehler, R., Hochmuth, R. (2016). Relating different mathematical praxeologies as a challenge for designing mathematical content for bridging courses. In Göller, R., Biehler, R., Hochmuth, R., Rück, H.-G. (Eds.). Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Khdm-report 17-05, (pp. 14-20). Kassel. Universität Kassel (web)

Biehler, R, , Reinhard Hochmuth, Hans-Georg Rück, Robin Göller, Axel Hoppenbrock, Michael Liebendörfer, Juliane Püschl (2016). Research in University Mathematics Education. The khdm. EMS Newsletters December 2016, 49-50.

Colberg, C., Mai, T., Wilms, D., Biehler, R. (2016). Studifinder. Developing e-learning materials for the transition from secondary school to university. In Göller, R., Biehler, R., Hochmuth, R., Rück, H.-G. (Eds.). Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Khdm-report 17-05 (pp. 466-470). Kassel. Universität Kassel (web)

Engel, J., Schiller, A., Frischemeier, D., Biehler, R. (2016). Statistics Education and Monitoring Progress Towards Civil Rights. In J. Engel (Ed.), Promoting understanding of statistics about society. Proceedings of the Roundtable Conference of the International Association of Statistics Education (IASE), July 2016, Berlin, Germany (web)

Frischemeier, D., Biehler, R. (2016). Preservice teachers´ statistical reasoning when comparing groups facilitated by software. In Krainer, K., Vondrova, N.. Proceedings of the 9th Congress of the European Society for Research in Mathematics Education, Charles University in Prague, Faculty of Education and ERME, 643-650

Göller, R., Biehler, R., Hochmuth, R., Rück, H.-G. (Eds.) (2016). Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Khdm-report 17-05. Kassel. Universität Kassel (web)

Kortemeyer, J., Biehler, R. (2016). Conceptualizing students’ processes of solving a typical problem in the course „Principles of electrical engineering“ requiring higher mathematical methods. In Göller, R., Biehler, R., Hochmuth, R., Rück, H.-G. (Eds.). Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Khdm-report 17-05 (pp. 162-169). . Kassel. Universität Kassel (web)

Kortemeyer, J., Biehler, R. (2016). Analysis of typical mathematical competences required to solve tasks in basic engineering courses. Paper presented at the 13th International Congress on Mathematics Education (ICME13), Hamburg

Mai, T., Biehler, R. (2016). Design, conception and realization of an interactive manual for e-learning materials in a mathematical domain. In Göller, R., Biehler, R., Hochmuth, R., Rück, H.-G. (Eds.). Didactics of Mathematics in Higher Education as a Scientific Discipline – Conference Proceedings. Khdm-report 17-05, (pp. 486-490). Kassel. Universität Kassel. (web)

2015

Biehler, R., Frischemeier, D., & Podworny, S. (2015). Preservice tachers' reasoning about uncertainty in the context of randomization tests. In A. Zieffler & E. Fry (Eds.), Reasoning about Uncertainty. Learning and Teaching Informal Inferential Reasoning (pp. 129-162). Minneapolis, Minnesota. Catalyst Press.

Biehler, R., Kortemeyer, J., & Schaper, N. (2015). Conceptualizing and studying students' processes of solving typical problems in introductory engineering courses requiring mathematical competences. In K. Krainer & N. Vondrová (Eds.), Proceedings of the Ninth Conference of the European Society for Research in Mathematics Education (CERME9, 4-8 February 2015) (pp. 2060–2066). Prague, Czech Republic: Charles University in Prague, Faculty of Education and ERME. (web)

Frischemeier, D. & Biehler, R. (2015). Preservice teachers statistical reasoning when comparing groups facilitated by software. In K. Krainer & Nad’a Vondrová (Eds.), Proceedings of the CERME 9 (pp. 643-650). Prag. Charles University in Prague, Faculty of Education and ERME. (web)

Kempen, L. & Biehler, R. (2015). Pre-service teachers’ perceptions of generic proofs in elementary number theory. In K. Krainer & Nad’a Vondrová (Eds.), Proceedings of the CERME 9 (pp. 135-141). Prag. Charles University in Prague, Faculty of Education and ERME. (web)

Kuzle, A., & Biehler, R. (2015). Examining mathematics mentor teachers’ practices in professional development courses on teaching data analysis: implications for mentor teachers’ programs. ZDM Mathematics Education, 47(1), 39-51.

Kuzle, A. & Biehler, R. (2015). A protocol for analysing mathematics teacher educators’ practices. In K. Krainer & Nad’a Vondrová (Eds.), Proceedings of the CERME 9 (pp. 2847-2853). Prag. Charles University in Prague, Faculty of Education and ERME. (web)

2014

Biehler, R. (2014). Transitions in Learning Mathematics as a Challenge for People and Institutions. In S. Rezat, M. Hattermann & A. Peter-Koop (eds.), Transformation—A Fundamental Idea of Mathematics Education (pp. 127-134). Dordrecht: Springer (web)

Biehler, R. (2014). On the delicate relation between informal statistical inference and formal statistical inference. In K. Makar, B. d. Sousa, & R. Gould (Eds.), Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014), Flagstaff, Arizona, USA. Voorburg. Voorburg: The Netherlands: International Statistical Institute (web)

Biehler, R., & Kempen, L. (2014). Students' use of variables and examples in their transition from generic proof to formal proof. in Ubuz, B. et al. (eds.), Proceeedings of CERME 8. Antalya February 2013 (web)

Frischemeier, D., & Biehler, R. (2014). Design and exploratory evaluation of a learning trajectory leading to do randomization tests facilitated by TinkerPlots. To appear in Ubuz, B. et al. (eds.), Proceeedings of CERME 8 (pp. 799-809). Antalya February 2013 (web)

Hochmuth, R., Biehler, R., & Schreiber, S. (2014). Considering mathematical practices in engineering contexts focusing on signal analysis In T. Fukawa-Connelly, G. Karakok, K. Keene, & M. Zandieh (Eds.), Proceedings of the 17th Annual Conference on Research in Undergraduate Mathematics Education (pp. 693-698) (web)

Kempen, L. & Biehler, R. (2014). The quality of argumentations of first-year pre-service teachers. In S. Oesterle, P. Liljedahl, C. Nicol & D. Allen (Eds.): Proceedings of the 38th Conference of the International Group for the Psychology of Mathematics Education and the 36th Conference of the North American Chapter of the Psychology of Mathematics Education (Vol. 3) (pp. 425-432). PME, Vancouver, Canada (web)

Oesterhaus, J. & Biehler, R. (2014). Designing and implementing an alternative teaching concept within a continuous professional development course for German secondary school teachers. In K. Makar, B. de Sousa & R. Gould (Eds.): Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014), Flagstaff, Arizona, USA. ISA, Voorburg, The Netherlands (web).

Podworny, S. & Biehler, R. (2014). A learning trajectory on hypothesis testing with TinkerPlots - design and exploratory evaluation. In K. Makar, B. de Sousa & R. Gould (Eds.): Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014), Flagstaff, Arizona, USA. ISA, Voorburg, The Netherlands (web).

Wassong, T. & Biehler, R. (2014). The use of technology in a mentor teacher course in statistics education. In K. Makar, B. de Sousa & R. Gould (Eds.): Sustainability in statistics education. Proceedings of the Ninth International Conference on Teaching Statistics (ICOTS9, July, 2014), Flagstaff, Arizona, USA. ISA, Voorburg, The Netherlands (web).

2013

Biehler, R., Ben-Zvi, D., Bakker, A. & Makar, K. (2013). Technology for Enhancing Statistical Reasoning at the School Level. In M. A. Clements, A. J. Bishop, C. Keitel, J. Kilpatrick & F. K. S. Leung (Hrsg.), Third International Handbook of Mathematics Education (Vol. 27, pp. 643-689): Springer New York (web)

2012

Biehler, R.; Fischer, P. R.; Hochmuth, R.; Wassong, T. (2012). Self-Regulated Learning and Self Assessment in Online Mathematics Bridging Courses. In A. A. Juan, M. A. Huertas, S. Trenholm & C. Steegman (eds.), Teaching Mathematics Online: Emergent Technologies and Methodologies (pp. 216-237). Hershey, PA: IGI Global

Biehler, R.; Fischer, P.; Hochmuth, R.; Wassong, T. (2012). Designing and evaluating blended learning bridging courses in mathematics. Proceedings of the 7th Congress of the European Society for Research in Mathematics Education, Rzeszow, Poland, (pp. 1971-1980) (web)

Biehler, R.; Hochmuth, R.; Fischer, P.; Wassong, T. (2012). Remedial scenarios for online and blended learning bridging courses. Proceedings of the 7th Congress of the European Society for Research in Mathematics Education, Rzeszow, Poland, (pp. 2984 -2985) (web)

Biehler, R.; Hoppenbrock, A.; Klemm, J.; Liebendörfer, M.; Wassong, T. (2012). Training of student teaching assistants and e-learning via math-bridge – Two projects at the German Centre for Higher Mathematics Education. In D. Waller (eds.), CETL-MSOR Conference Proceedings 2011 (pp. 21-27): The Maths, Stats & OR Network (web)

Biehler, R.; Pratt, D. (2012). Probability in Reasoning About Data and Risk. ZDM The International Journal on Mathematics Education, 44(7) [Heftherausgeber]

Biehler, R.; Pratt, D. (2012). Research on the reasoning, teaching and learning of probability and uncertainty. ZDM The International Journal on Mathematics Education, 44(7), 819-823

2011
Biehler, R., Fischer, P. R., Hochmuth, R., & Wassong, T. (2011). Designing and evaluating blended learning bridging courses in mathematics. In M. Pytlak, T. Rowland, & E. Swoboda (Eds.), Proceedings of the Seventh Congress of the European Society for Research in Mathematics Education. CERME 7 (pp. 1971-1980). University of Rzeszów, Poland. hal-02158191 (pdf)
Biehler, R., Fischer, P. R., Hochmuth, R., & Wassong, T. (2011). Remedial scenarios for online and blended-learning bridging courses. In M. Pytlak, T. Rowland, & E. Swoboda (Eds.), Proceedings of the Seventh Congress of the European Society for Research in Mathematics Education. CERME 7 (pp. 2984-2985). University of Rzeszów, Poland. hal-02158191 (pdf)

Biehler, R. & Hofmann, T. (2011). Designing and evaluating an e-learning environment for supporting students’ problem-oriented use of statistical tool software. Proceedings of the 58th ISI Session, Dublin, August 2011 (web)

Burrill, G. & Biehler, R. (2011). Fundamental Statistical Ideas in the School Curriculum and in Training Teachers. In C. Batanero, G. Burrill & C. Reading (eds.), Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education - A Joint ICMI/IASE Study: The 18th ICMI Study (pp. 57-69). Dordrecht: Springer.

2010

Biehler, R., Fischer, P.R., Hochmuth, R., Jeuring, J. & Wassong, T. (2010). How to support students learning in mathematical bridging-courses using an ITS? Remedial scenarios in the European project Math-Bridge. Proceedings of the S-ICT conference, Universiteit Utrecht, 1.-2. Nov. 2010 (web)

Biehler, R. & Prömmel, A. (2010).Developing students' computer-supported simulation and modelling competencies by means of carefully designed working environments. In Reading, C. (Ed.), Proceedings of ICoTS 8, Ljubljana, July 2010. Voorburg: IASE (CD-ROM) (web)

Biehler, R. & Leiss, D. (2010). Empirical Research on Mathematical Modelling. JMD - Journal für Mathematik-Didaktik, 31(1), 5-8

Maxara, C. & Biehler, R. (2010). Students' understanding and reasoning about sample size and the law of large numbers after a computer-intensive introductory course on stochastics. In Reading, C. (Ed.), Proceedings of ICoTS 8, Ljubljana, July 2010. Voorburg: IASE (CD-ROM) (web)

Wassong, T. & Biehler, R. (2010). A model for teacher knowledge as a basis for online courses for professional development of statistics education. In Reading, C. (Ed.), Proceedings of ICoTS 8, Ljubljana, July 2010. Voorburg: IASE (CD-ROM) (web)

2008

Biehler, R. & Peter-Koop, A. (2008). The Development of Mathematics Education as a Scientific Discipline: Reflections from a German Perspective. International Journal for the History of Mathematics Education, 3(2), 83-90.

2007

Biehler, R. & Peter-Koop, A. (Issue Editors). (2007). Didactics of mathematics as a scientific discipline - In memoriam Hans-Georg Steiner. ZDM - The International Journal on Mathematics Education, 39, (1-2).

Biehler, R. & Peter-Koop, A. (2007). Hans-Georg Steiner: a life dedicated to the development of didactics of mathematics as a scientific discipline. ZDM - The International Journal on Mathematics Education, 39(1), 3-30.

Biehler, R., Meletiou, M., Ottaviani, M. G. & Pratt, D. (Eds.). (2007). Stochastic thinking. Proceedings of Working Group 5 at CERME 5 (web)

Biehler, R., Meletiou, M., Ottaviani, M. G. & Pratt, D. (2007). Developing stochastic thinking (web)

Biehler, R. (2007). Students’ strategies of comparing distributions in an exploratory data analysis context [Electronic Version]. CD-ROM Proceedings of 56th Session of the International Statistical Institute (web)

Biehler, R. (2007). Assessing students' statistical competence by means of written reports and project work. In B. Chance & B. Philipps (Eds.), Proceedings of the IASE Satellite Conference on Assessing Student Learning in Statistics, Guimaraes, Portugal, August 2007.

Maxara, C. & Biehler, R. (2007). Constructing stochastic simulations with a computer tool - students’ competencies and difficulties [Electronic Version]. Proceedings of CERME 5 (web)

2006

Biehler, R. (2006). Working styles and obstacles: Computer-supported collaborative learning in statistiscs. Proceedings of ICoTS 7, Salvador de Bahia, Brazil from www.stat.auckland.ac.nz/~iase/publications/17/2D2_BIEH.pdf.

Maxara, C. & Biehler, R. (2006). Students’ probabilistic simulation and modeling competence after a computer-intensive elementary course in statistics and probability [Electronic Version]. Proceedings of the 7th International Conference on Teaching Statistics (ICoTS 7) (web)

2005

Bakker, A., Biehler, R. & Konold, C. (2005). Should young students learn about box plots? In G. Burrill & M. Camden (Eds.), Curricular Development in Statistics Education: International Association for Statistical Education (IASE) Roundtable, Lund, Sweden, 28 June-3 July 2004. (pp. 163-173). Voorburg, The Netherlands: International Statistical Institute (web)

Biehler, R. (2005). Authentic modelling in stochastics education: The case of the binomial distribution. In G. Kaiser & H.-W. Henn (Eds.), Festschrift für Werner Blum (pp. 19-30). Hildesheim: Franzbecker.

Biehler, R. (2005). Reconstruction of meaning as a didactical task - the concept of function as an example. In J. Kilpatrick, C. Hoyles, O. Skovsmose & P. Valero (Eds.), Meaning in mathematics education (pp. 61-81). New York: Springer.

Biehler, R. (2005). Strength and weaknesses in students' project work in exploratory data analysis. In M. Bosch (Eds.), Proceedings of the Fourth Congress of the European Society for Research in Mathematics Education, Sant Feliu de Guíxols, Spain – 17 - 21 February 2005 (pp. 580-590) (web)

2003

Biehler, R. (2003). Interrelated learning and working environments for supporting the use of computer tools in introductory courses. In International Statistical Institute (Ed.) CD-ROM Proceedingsof IASE Satellite conference on Teaching Statistics and the Internet, Berlin, Max-Planck-Institute for Human Development, August 2003. (pdf)

2001

Biehler, R. & Schweynoch, S. (2001). Data Sharing Projects - A Critical Analysis of Five Projects from the Perspective of Competencies and Opportunities for Interactive and Exploratory Data Analysis. [more...]

Biehler, R. (2001). Students' difficulties in practising computer supported data analysis - Some hypothetical generalizations from results of two exploratory studies. In H. G. Weigand, et al., (Eds.), Developments in Mathematics Education in Germany vol. 2 (pp. 18-30). Hildesheim: Franzbecker.

vor 2000

Biehler, R. (1999). Discussion: Learning to Think Statistically and to Cope With Variation. International Statistical Review, 67, 40-43.

Biehler, R. (1997). Requirements for software tools to better support students' learning to practise data analysis. In E.-M. Tiit (Ed.), Proceedings of Tartu conference on Computational Statistics & Statistical Education (pp. 23-42). Tartu: University of Tartu.

Biehler, R. (1997). Software for learning and for doing statistics. International Statistical Review, 65(2), 167-189.

Biehler, R. (1997). Students' difficulties in practising computer supported data analysis - Some hypothetical generalizations from results of two exploratory studies. In J. Garfield & G. Burrill (Eds.), Research on the Role of Technology in Teaching and Learning Statistics (pp. 169-190). Voorburg: International Statistical Institute. (pdf)

Biehler, R. (1995). Towards requirements for more adequate software tools that support both: learning and doing statistics : resised and extended version of a paper presented at the Fourth International Conference on Teaching Statistics (ICOTS 4), Marrakech, Morocco, 25-30 July 1994. IDM Occassional Paper 157. Bielefeld: Institut für Didaktik der Mathematik, Universität Bielefeld.

Biehler, R., Scholz, R. W., Sträßer, R. & Winkelmann, B. (Eds.). (1994). Didactics of Mathematics as a Scientific Discipline. Dordrecht: Kluwer.

Biehler, R. (1994). History and epistemology of mathematics and mathematics education. Introduction. In R. Biehler, R. W. Scholz, R. Straesser & B. Winkelmann (Eds.), Didactics of Mathematics as a Scientific Discipline (pp. 327-333). Dordrecht: Kluwer.

Biehler, R. (1994). Teacher education and research on teaching. Introduction. In R. Biehler, R. W. Scholz, R. Straesser & B. Winkelmann (Eds.), Didactics of Mathematics as a Scientific Discipline (pp. 55-60). Dordrecht: Kluwer.

Biehler, R. (1994). Cognitive technologies for statistics education: relating the perspective of tools for learning and of tools for doing statistics. In G. Cicchetelli & L. Brunelli (Eds.), Proceedings of the First Scientific Meeting of the International Association for Statistics Education (pp. 173-190). Perugia.

Biehler, R. (1994). Functional thinking with graphs. Review of "Romberg, T. A., Fennema, E., Carpenter, T. P. (Eds.) Integrating Research on the Graphical Representation of Functions, Hillsdale, NJ: L. Erlbaum 1993". Journal for Research in Mathematics Education, 25(5), 526-533.

Biehler, R. (1994). Probabilistic thinking, statistical reasoning, and the search for causes - Do we need a probabilistic revolution after we have taught data analysis? In J. Garfield (Eds.), Research Papers from ICOTS 4, Marrakech 1994. Minneapolis: University of Minnesota. (pdf

Biehler, R. (1994). Tools for learning and for doing statistics: requirements from the perspective of introductory statistics education. Proceedings of the Interregional Meeting of the German and Netherlands region of the Biometric Society, March 1994. Münster.

Biehler, R. (1993). Software tools and mathematics education: the case of statistics. In C. Keitel & K. Ruthven (Eds.), Learning From Computers: Mathematics Education and Technology (pp. 68-100). Berlin: Springer. (pdf)

Biehler, R. (1991). Computers in probability education. In R. Kapadia & M. Borovcnik (Eds.), Chance Encounters - Probability in Education (pp. 169-211). Dordrecht: Kluwer.

Biehler, R. & Rach, W. (1990). Softwaretools for statistical data analysis in education and teacher training? An analysis of software conceptions from an educational perspective. In F. Faulbaum, et al. (Eds.), SOFTSTAT '89: Fortschritte der Statistiksoftware 2 (pp. 575-583). Stuttgart: G. Fischer (pdf)

Biehler, R. (1990). Changing conceptions of statistics: A problem area for teacher education. In A. Hawkins (Ed.), Training Teachers to Teach Statistics (pp. 20-38). Voorburg: International Statistical Institute (pdf)

Blum, W., Berry, J., Biehler, R., Huntley, I., Kaiser-Messmer, G., & Profke, L. (Eds.). (1989). Applications and Modelling in Learning and Teaching Mathematics. Chichester: Ellis Horwood.

Biehler, R. (1989). Computers and statistical activity. In H. G. Steiner & L. Bazzini (Eds.), Proceedings of the First Italian-German Bilateral Symposium on Didactics of Mathematics. Pavia, October 4 - 9 1988 (pp. 401-416): Quaderno/Consiglio Nazionale delle Rlcerche/Progretto Strategicco Tecnologico (pdf)

Biehler, R. (1989). Educational perspectives on Exploratory Data Analysis. In R. Morris (Eds.), Studies in Mathematics Education. Vol. 7: The Teaching of Statistics (pp. 185 - 201). Paris: UNESCO.

Biehler, R. (1989). Enhancing probability education by computer supported data analysis. In W. Blum, I. Huntley & M. Niss (Eds.), Modelling, Applications, and Applied Problem Solving: Teaching Mathematics in a Real Context (pp. 123-130) (pdf)

Biehler, R. (1989). Computer simulation as tool and object of teaching and learning probability and statistics. In W. Blum, J. Berry, R. Biehler, I. Huntley, G. Kaiser-Messmer & L. Profke (Eds.), Applications and Modelling in Learning and Teaching Mathematics (pp. 361-367). Chichester: Ellis Horwood (pdf)

Rach, W., Biehler, R. & Winkelmann, B. (1988). Teacher interfaces in software for mathematics education: Different requirements of software from the perspectives of learners and teachers. In A. Vermandel (Hrsg.), Theory of mathematics education. Proceedings of the Third International Conference (pp. 149-156). Antwerpen: University.

Biehler, R., Rach, W. & Winkelmann, B. (1988). Computers and Mathematics Teaching: The German Situation and Reviews of International Software. Papers from the German Subgroup of the UNESCO Pilot Project on the Use of Microcomputers in Mathematics and Science Teaching (IDM Occasional Paper 103). Bielefeld: Universität Bielefeld, Institut für Didaktik der Mathematik.

Biehler, R. (1988). Computers in Probability Education. IDM Occassional Paper 108. Bielefeld: Institut für Didaktik der Mathematik, Universität Bielefeld.

Biehler, R., Strässer, R. & Winkelmann, B. (1986). Report on the ICMI Symposium on "The Influence of Computers and Informatics on Mathematics and Its Teaching". ICMI Bulletin, 20 (June 1986), i-xii.

Biehler, R., Strässer, R. & Winkelmann, B. (1986). Report on the ICMI Symposium on "The Influence of Computers and Informatics on Mathematics and Its Teaching". Zentralblatt für Didaktik der Mathematik, 18(2), 58-69.

Biehler, R. (1985). Interrelations between computers, statistics and teaching mathematics. In Commission Internationale de L'Enseignement Mathematique (Ed.), The Influence of Computers and Informatics on Mathematics and Its Teaching, Supporting Papers (pp. 209-214). Strasbourg: University IREM 1985.

Biehler, R. (1984). Exploratory data analysis - A new field of applied mathematics. In J. S. Berry, D. N. Burghes, I. D. Huntley, D. J. G. James & A. O. Moscadini (Eds.), Teaching and Applying Mathematical Modelling (pp. 117-130). Chichester: Ellis Horwood.

Biehler, R., Beck, U. & Kaiser, G. (1983). Review of Applications in School Mathematics: National Report Federal Republic of Germany. In H. Burkhardt (Ed.), An International Review of Applications in School Mathematics: the Elusive El Dorado (pp. 68-93). Columbus: ERIC.

Biehler, R. (1983). The mathematization of situations outside mathematics from an educational point of view. In M. Zweng, et al. (Eds.), Proceedings of the Fourth International Congress on Mathematical Education (pp. 291-293). Boston: Birkhäuser.

Biehler, R. (1982). The role of applications of mathematics in the theory and practice of mathematics education in the Federal Republic of Germany - a report on literature, projects, and ideas. International Journal of Mathematics Education in Science and Technology, 13(2), 199-216.