Yuriy Rogovchenko

• Zhakatayev, Altay; Avazov, Nurilla; Najjar, Hasan; Rogovchenko, Yuriy & Pätzold, Matthias Uwe (2024). Blind parameter identification of implicit differential equations using the collocation discretization and homotopy optimization methods. Mechanism and Machine Theory. ISSN 0094-114X. doi: 10.1016/j.mechmachtheory.2024.105715.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2024). Exactness: A Concept Important for Engineering Applications or a Source of Potential Difficulties? IEEE Transactions on Education. ISSN 0018-9359. doi: 10.1109/TE.2023.333587.
• Hernandez Martinez, Paul; Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2024). “The theorem says…”: Engineering students making meaning of solutions to Ordinary Differential Equations. Journal of Mathematical Behavior. ISSN 0732-3123. 73. doi: 10.1016/j.jmathb.2023.101116.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematics education of future biologists: A strong need for brokering between mathematics and biology communities of practice. I Dreyfus, Tommy; Gonzalez-Martin, Alejandro S.; Monaghan, John David; Nardi, Elena & Thompson, Pat (Red.), The learning and teaching of calculus across disciplines - proceedings of the second calculus conference. MatRIC.
• Rogovchenko, Yuriy (2023). A Mathematical Modelling Project with Biology Undergraduates: Using Activity Theory to Understand Tensions. I Greefrath, Gilbert; Carreira, Sara Correia & Stillman, Gloria Ann (Red.), Advancing and Consolidating Mathematical Modelling. Springer. ISSN 978-3-031-27115-1. s. 177–192. doi: 10.1007/978-3-031-27115-1_11.
• Holm, Kjetil Tengesdal; Rebenda, Josef & Rogovchenko, Yuriy (2023). Impact of Travel on Spread of Infection. I Pinto, Carla M. A. & Ionescu, Clara Mihaela (Red.), Computational and Mathematical Models in Biology. Springer. ISSN 978-3-031-42689-6. s. 183–211. doi: 10.1007/978-3-031-42689-6_8.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematics education of future biologists: A strong need for brokering between mathematics and biology communities of practice. I Dreyfus, Tommy; Gonzalez-Martin, Alejandro S.; Monaghan, John David; Nardi, Elena & Thompson, Pat (Red.), The learning and teaching of calculus across disciplines - proceedings of the second calculus conference. MatRIC.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Identifying Tensions in a Small Group Work on an Open-Ended Modelling Task. Proceedings of the Annual Conference on Research in Undergraduate Mathematics Education (RUME). ISSN 2474-9346. s. 736–743.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Potential conflict factors in learning exact differential equations: Analysis of students’ work. I Drijvers, Paul; Csapodi, Csaba; Palmer, Hanna; Gosztonyi, Katalin & Kónya, Eszter (Red.), Proceedings of the thirteenth Congress of the European Society for Research in Mathematics Education (CERME13). European Society for Research in Mathematics Education. ISSN 978-963-7031-04-5. s. 2517–2524.
• Hernandez-Martinez, Paul; Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2023). Collaboration between Mathematicians and Mathematics Educators: dialogical inquiry as a methodological tool in Mathematics Education research. Educational Studies in Mathematics. ISSN 0013-1954. 114, s. 129–148. doi: 10.1007/s10649-023-10245-w. Vis sammendrag

  Collaboration between Mathematicians and Mathematics Educators is crucial in advancing knowledge on the teaching and learning of Mathematics, particularly in advanced Mathematics pedagogy. However, there is a need for the type of collaborations where Mathematicians and Mathematics Educators can find common ground, and the synergy of their expertise results in new, hybrid meanings and understandings that can benefit practice. This paper aims to help researchers from these communities come together by presenting a novel methodology for collaborative inquiry and qualitative data analysis—dialogical inquiry—based on Mikhail Bakhtin’s theory of dialogism. In this framework, “truth” is conceived as never finalised but always coevolving through dialogue that involves participants with different “voices” and “languages”. We describe the three principles that underpin dialogical inquiry: motivation, power balance and a process for solving disagreements. These three principles interact together to create a space where critically productive dialogue allows for meanings to coevolve and new, hybrid understandings to emerge. We illustrate our operationalisation of these principles (i.e., the methods of dialogical inquiry) in two areas: understanding solutions to linear ordinary differential equations and making meaning of the Bakhtinian concept of superaddressee. We reflect on our use of this methodology in Mathematics Education research and invite the readers to create their own dialogic spaces of collaboration.

• Zhakatayev, Altay; Rogovchenko, Yuriy & Pätzold, Matthias Uwe (2023). Recursive inverse dynamics sensitivity analysis of open-tree-type multibody systems. Nonlinear dynamics. ISSN 0924-090X. 111, s. 11297–11313. doi: 10.1007/s11071-023-08433-7. Vis sammendrag

  We present a first-order recursive approach to sensitivity analysis based on the application of the direct differentiation method to the inverse Lagrangian dynamics of rigid multibody systems. Our method is simple and efficient and is characterized by the following features. Firstly, it describes the kinematics of multibody systems using branch connectivity graphs and joint-branch connectivity matrices. For most mechanical systems with an open-tree kinematic structure, this method turns out to be more efficient compared to other kinematic descriptions employing joint or link connectivity graphs. Secondly, a recursive sensitivity analysis is presented for a dynamic system with an open-tree kinematic structure and inverse dynamic equations described in terms of the Lagrangian formalism. Thirdly, known approaches to recursive inverse dynamic and sensitivity analyses are modified to include dynamic systems with external forces and torques acting simultaneously at all joints. Finally, the proposed method for sensitivity analysis is easy to implement and computationally efficient. It can be utilized to evaluate the derivatives of the dynamic equations of multibody systems in gradient-based optimization algorithms. It also allows less experienced users to perform sensitivity analyses using the power of high-level programming languages such as MATLAB. To illustrate the method, simulation results for a human body model are discussed. The shortcomings of the method and possible directions for future work are outlined.

• Zhakatayev, Altay; Avazov, Nurilla; Rogovchenko, Yuriy & Pätzold, Matthias Uwe (2023). Human Motion Synthesis Using Trigonometric Splines. IEEE Access. ISSN 2169-3536. 11, s. 14293–14308. doi: 10.1109/ACCESS.2023.3244062. Fulltekst i vitenarkiv Vis sammendrag

  In this work, we present a simple framework to synthesize human motion. Our main goal is to propose a methodology tailored for inexperienced users to initiate their research in human motion simulation and human motion trajectory optimization. The novelties of the work include the following. First, trigonometric splines are used instead of traditional B-splines to discretize the generalized coordinates and velocities. Second, useful identities for trigonometric splines are derived. Third, this work is intended to be an example, so that even non-skilled users, such as undergraduate students, can perform human motion analysis using a high-level programming language such as MATLAB. Four simulations of human motion are generated: walking, sitting and standing, side-step, and jump. The results of the walking simulation are validated by experiments. Simulation and experimental results are presented and discussed.

• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Promoting conceptual understanding of differential equations through inquiry tasks. I Järvinen, Hannu-Matti; Silvestre, Santiago; Llorens, Ariadna & Nagy, Balázs (Red.), Towards a new future in engineering education, new scenarios that European alliances of tech universities open up. Société européenne pour la formation des ingénieurs (SEFI). ISSN 978-84-123222-6-2.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Promoting engineering students' learning with mathematical modelling projects. I Järvinen, Hannu-Matti; Silvestre, Santiago; Llorens, Ariadna & Nagy, Balázs (Red.), Towards a new future in engineering education, new scenarios that European alliances of tech universities open up. Société européenne pour la formation des ingénieurs (SEFI). ISSN 978-84-123222-6-2.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Conceptual understanding of solutions to differential equations: How do assessment tasks promote it? I Hodgen, Jeremy; Geraniou, Eirini; Bolondi, Giorgio; Feretti, Federica & Ferretti, Federica (Red.), Proceedings of the Twelfth Congress of the European Society for Research in Mathematics Education (CERME12). European Society for Research in Mathematics Education. ISSN 979-1-22-102537-8.
• Zhakatayev, Altay; Rogovchenko, Yuriy & Pätzold, Matthias Uwe (2022). Synthesis of Lower-Body Human Walking using Trigonometric Spline Method, 2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids) . IEEE conference proceedings. ISSN 979-8-3503-0979-9. s. 358–363. doi: 10.1109/Humanoids53995.2022.10000253. Vis sammendrag

  In this work, preliminary results of human motion synthesis are presented. Specifically, a single stride motion (consisting of two steps) of a human lower-body model is obtained. The optimal control problem was reformulated as a nonlinear programming problem using the differential inclusion method. The main goal of this study is to compare the performance of trigonometric and polynomial (B-spline) discretization methods. The obtained results indicate that the trigonometric spline method performs similarly to the B-spline method and results in a smooth motion.

• Rezvanifard, Faezeh; Radmehr, Farzad & Rogovchenko, Yuriy (2022). Advancing engineering students' conceptual understanding through puzzle-based learning: a case study with exact differential equations. Teaching Mathematics and its Applications. ISSN 0268-3679. 42(2), s. 126–149. doi: 10.1093/teamat/hrac005. Fulltekst i vitenarkiv
• Balyk, Nadiia; Vasylenko, Yaroslav; Grod, I.; Oleksiuk, Vasyl & Rogovchenko, Yuriy (2021). Project-based learning in a computer modelling course. Journal of Physics: Conference Series (JPCS). ISSN 1742-6588. doi: 10.1088/1742-6596/1840/1/012032. Fulltekst i vitenarkiv
• Rogovchenko, Yuriy & Rebenda, Josef (2021). Origins and Implementation of the Project, Inquiry in University Mathematics Teaching and Learning. The Platinum Project. Nakladatelství Masarykovy univerzity. ISSN 978-80-210-9983-8. s. 73–92. doi: 10.5817/CZ.MUNI.M210-9983-2021-5.
• Rogovchenko, Yuriy; Astafieva, Mariia; Hernandez Martinez, Paul; Lytvyn, Oksana; Morze, Nataliia & Pátíková, Zuzana [Vis alle 8 forfattere av denne artikkelen] (2021). Mathematical Modelling and Inquiry-Based Mathematics Education, Inquiry in University Mathematics Teaching and Learning. The Platinum Project. Nakladatelství Masarykovy univerzity. ISSN 978-80-210-9983-8. s. 147–170. doi: 10.5817/CZ.MUNI.M210-9983-2021-8.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2021). Teaching Students to Think Mathematically Through Inquiry: The Norwegian Experience, Inquiry in University Mathematics Teaching and Learning. The Platinum Project. Nakladatelství Masarykovy univerzity. ISSN 978-80-210-9983-8. s. 197–213. doi: 10.5817/CZ.MUNI.M210-9983-2021-11.
• Zhakatayev, Altay; Rogovchenko, Yuriy & Pätzold, Matthias Uwe (2021). Influence of generalized coordinates on system dynamics. I Kövecses, József; Stépán, Gábor & Zelei, Ambrus (Red.), Proceedings of the 10th ECCOMAS Thematic Conference on MULTIBODY DYNAMICS. Budapest University of Technology and Economics. ISSN 978-963-421-870-8. s. 235–244. doi: 10.3311/ECCOMASMBD2021-112. Vis sammendrag

  We investigate the effect of the choice of a set of generalized coordinates (GCs) on the simulation of the behavior of the dynamical system using the single-link spherical pendulum as an example. Specifically, we focus our attention on numerical errors and the simulation time necessary to simulate system dynamics. The Lagrangian method is applied to obtain the equations of motion. The generalized Euler angles are used as GCs. The GCs depend on the direction of the axes along which they are defined. Therefore, by parameterizing the directions of these two axes, different sets of GCs with the corresponding system of nonlinear differential equations are obtained. For a spherical pendulum, we demonstrate that the optimal sets of GCs leading to the minimum simulation time are orthogonal sets. However, contrary to our expectations, orthogonal sets do not result in the minimum simulation error. Additionally, the intrinsic generalized Euler angles lead to faster simulations than the extrinsic ones. Therefore, different choices of GCs are not equivalent from a numerical point of view and further research is needed to develop a strategy for selecting an optimal set of GCs.

• Rogovchenko, Yuriy (2021). Mathematical Modelling with Biology Undergraduates: Balancing Task Difficulty and Level of Support. I Leung, Frederick Koon Shing; Stillman, Gloria A.; Kaiser, Gabriele & Wong, Ka Lok (Red.), Mathematical modelling education in East and West. Springer. ISSN 9783030669959. s. 571–582. doi: 10.1007/978-3-030-66996-6_48.
• Rogovchenko, Yuriy; Viirman, Olov Lui & Treffert-Thomas, Stephanie (2020). Joy of Mathematical Modelling: A Forgotten Perspective? I Stillman, Gloria A.; Kaiser, Gabriele & Lampen, Christine Erna (Red.), Mathematical Modelling Education and Sense-making. International Perspectives on the Teaching and Learning of Mathematical Modelling. Springer Nature. ISSN 978-3-030-37672-7. s. 95–106. doi: 10.1007/978-3-030-37673-4_9. Vis sammendrag

  We argue the relevance of including an affective perspective in the mathematical modelling education research and emphasise its importance for the teaching and learning of mathematical modelling at all levels, especially at the university. Our argument is supported by a recent survey of mathematics lecturers’ views on mathematical modelling, several follow-up interviews, and a review of literature on mathematical modelling that relates to enjoyment, pleasure, and appreciation. Findings from the survey and the follow-up interviews indicate that there is a group of practitioners who hold strong views on the importance of enjoyment in doing and teaching mathematical modelling.

• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2020). The Use of Nonstandard Problems in an Ordinary Differential Equations Course for Engineering Students Reveals Commognitive Conflicts. Proceedings of the Annual Conference on Research in Undergraduate Mathematics Education (RUME). ISSN 2474-9346. s. 1141–1145. Vis sammendrag

  We report on a teaching intervention in an ordinary differential equations (ODEs) course for engineering students focusing our attention on the role of nonstandard problems in the challenging traditional approaches to Existence and Uniqueness Theorems (EUTs). Our analysis of the students mathematical discourse developed in the process of group discussions within Commognition Theoretical Framework reveals unresolved commognitive conflict. We suggest how modifications in the problem design prompted by the students mathematical discourse can be used to improve students conceptual understanding of the material.

• Li, Tongxing & Rogovchenko, Yuriy (2020). On the asymptotic behavior of solutions to a class of third-order nonlinear neutral differential equations. Applied Mathematics Letters. ISSN 0893-9659. 105. doi: 10.1016/j.aml.2020.106293. Fulltekst i vitenarkiv Vis sammendrag

  By using comparison principles, we analyze the asymptotic behavior of solutions to a class of third-order nonlinear neutral differential equations. Due to less restrictive assumptions on the coefficients of the equation and on the deviating argument, our criteria improve a number of related results reported in the literature.

• Hernandez-Martinez, Paul; Thomas, Stephanie; Viirman, Olov Lui & Rogovchenko, Yuriy (2019). ‘I’m still making dots for them’: mathematics lecturers’ views on their mathematical modelling practices. International Journal of Mathematical Education in Science and Technology. ISSN 0020-739X. s. 1–13. doi: 10.1080/0020739X.2019.1668977.
• Duarte, Jorge; Januário, Cristina; Martins, Nuno; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2019). Chaos analysis and explicit series solutions to the seasonally forced SIR epidemic model. Journal of Mathematical Biology. ISSN 0303-6812. 78(7), s. 2235–2258. doi: 10.1007/s00285-019-01342-7.
• Rogovchenko, Svitlana; Treffert-Thomas, Stephanie & Rogovchenko, Yuriy (2018). Non-standard Problems in an Ordinary Differential Equations Course. International Network for Didactic Research in University Mathematics : INDRUM. ISSN 2496-1027. Fulltekst i vitenarkiv
• Liakos, Yannis; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). A New Tool for the Assessment of the Development of Students’ Mathematical Competencies, The 19th SEFI Mathematics Working Group Seminar on Mathematics in Engineering Education. European Society for Engineering Education. ISSN 978-2-87352-017-5. s. 158–163. Fulltekst i vitenarkiv
• Pasic, Mervan & Rogovchenko, Yuriy (2018). Global Non-monotonicity of Solutions to Nonlinear Second-Order Differential Equations. Mediterranean Journal of Mathematics. ISSN 1660-5446. 15(2). doi: 10.1007/s00009-018-1075-2. Fulltekst i vitenarkiv
• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2018). The use of nonstandard problems in an ODE course for engineering students. Proceedings of the International Groups for the Psychology of Mathematics Education. ISSN 0771-100X. 4, s. 283–290. Fulltekst i vitenarkiv
• Hernandez-Martinez, Paul; Viirman, Olov Lui; Treffert-Thomas, Stephanie & Rogovchenko, Yuriy (2017). Mathematics lecturers’ views on the teaching of mathematical modelling. Nordisk matematikkdidaktikk. ISSN 1104-2176. 22(4), s. 121–145.
• Li, Tongxing & Rogovchenko, Yuriy (2017). Oscillation criteria for second-order superlinear Emden?Fowler neutral differential equations. Monatshefte für Mathematik (Print). ISSN 0026-9255. 184(3), s. 489–500. doi: 10.1007/s00605-017-1039-9.
• Li, Tongxing & Rogovchenko, Yuriy (2017). On asymptotic behavior of solutions to higher-order sublinear Emden–Fowler delay differential equations. Applied Mathematics Letters. ISSN 0893-9659. 67, s. 53–59. doi: 10.1016/j.aml.2016.11.007.
• Viirman, Olov Lui; Goodchild, Simon & Rogovchenko, Yuriy (2016). Using mathematical modelling activities to motivate biology students to learn mathematics. I Csíkos, Csaba; Rausch, Attila & Szitányi, Judit (Red.), Proceedings of the 40th Conference of the International Group for the Psychology of Mathematics Education. PME. ISSN 9781365463389. s. 262–262.
• Li, Tongxing & Rogovchenko, Yuriy (2016). Oscillation criteria for even-order neutral differential equations. Applied Mathematics Letters. ISSN 0893-9659. 61, s. 35–41. doi: 10.1016/j.aml.2016.04.012. Fulltekst i vitenarkiv
• Li, Tongxing; Rogovchenko, Yuriy & Zhang, Chengchui (2015). Oscillation of fourth-order quasilinear differential equations. Mathematica Bohemica. ISSN 0862-7959. 140(4), s. 405–418. doi: 10.21136/mb.2015.144459. Fulltekst i vitenarkiv
• Li, Tongxing & Rogovchenko, Yuriy (2015). Oscillation of second-order neutral differential equations. Mathematische Nachrichten. ISSN 0025-584X. 288(10), s. 1150–1162. doi: 10.1002/mana.201300029.
• Li, Tongxing; Rogovchenko, Yuriy & Tang, Shuhong (2014). Oscillation of second-order nonlinear differential equations with damping. Mathematica Slovaca. ISSN 0139-9918. 64(5), s. 1227–1236. doi: 10.2478/s12175-014-0271-1.
• Li, Tongxing & Rogovchenko, Yuriy (2014). Oscillation Theorems for Second-Order Nonlinear Neutral Delay Differential Equations. Abstract and Applied Analysis. ISSN 1085-3375. 2014. doi: 10.1155/2014/594190.
• Rogovchenko, Yuriy & Li, Tongxing (2014). Oscillatory Behavior of Second-Order Nonlinear Neutral Differential Equations. Abstract and Applied Analysis. ISSN 1085-3375. 2014. doi: 10.1155/2014/143614.
• Li, Tongxing & Rogovchenko, Yuriy (2014). Asymptotic behavior of an odd-order delay differential equation. Boundary Value Problems. ISSN 1687-2762. 2014:107. doi: 10.1186/1687-2770-2014-107.
• Li, Tongxing & Rogovchenko, Yuriy (2014). Asymptotic behavior of higher-order quasilinear neutral differential equations. Abstract and Applied Analysis. ISSN 1085-3375. 2014:395368. doi: 10.1155/2014/395368.
• Li, Tongxing; Rogovchenko, Yuriy & Zhang, Chenghui (2013). Oscillation results for second-order nonlinear neutral differential equations. Advances in Difference Equations. ISSN 1687-1839. doi: 10.1186/1687-1847-2013-336.
• Li, Tongxing; Rogovchenko, Yuriy & Zhang, Chenghui (2013). Oscillation of Second-Order Neutral Differential Equations. Funkcialaj Ekvacioj. ISSN 0532-8721. 56(1), s. 111–120. doi: 10.1619/fesi.56.111.
• Hasanbulli, Mustafa; Rogovchenko, Svitlana P. & Rogovchenko, Yuriy (2013). Dynamics of a Single Species in a Fluctuating Environment under Periodic Yield Harvesting. Journal of Applied Mathematics. ISSN 1110-757X. doi: 10.1155/2013/167671.

Se alle arbeider i Cristin

• Rogovchenko, Yuriy; Rogovchenko, Svitlana & Thomas, Stephanie (2018). Bergquist, Österholm M, Granberg, Sumpter L. Proceedings of the 42nd Conference of the International Group for the Psychology of Mathematics Education (Vol. 4). Umeå, Sweden: International Group for the psychology of Mathematics Education. ISBN 978-91-7601-905-4. International Group for the Psychology of Mathematics Education. ISBN 978-91-7601-905-4. 485 s.

Se alle arbeider i Cristin

• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematical modeling projects in advanced ordinary differential equations courses for mathematics and engineering students.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematical model of yeast growth: biology students use mathematics to understand biological processes.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Mathematics education of future biologists: A strong need for brokering between mathematics and biology communities of practice.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Students’ Difficulties with the Understanding of the Concept of the General Solution to a Differential Equation: Can We Teach It Better?
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Students’ Difficulties with the Understanding of the Concept of the General Solution to a Differential Equation: Can We Teach It Better?
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Identifying Tensions in a Small Group Work on an Open-Ended Modelling Task.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2023). Potential conflict factors in learning exact differential equations: Analysis of students’ work.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Potential conflict factors in learning exact differential equations: an impact of institutional practices.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Conceptual understanding of solutions to differential equations: How do assessment tasks promote it? .
• Rogovchenko, Yuriy & Rogovchenko, Svitlana (2022). Promoting conceptual understanding of differential equations through inquiry tasks.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Promoting engineering students' learning with mathematical modelling projects.
• Rogovchenko, Svitlana & Rogovchenko, Yuriy (2022). Conceptual understanding of solutions to differential equations: How do assessment tasks promote it?
• Rogovchenko, Yuriy (2020). Using Activity Theory to Understand Tensions in an Extra-Curricular Mathematical Modeling Project with Biology Undergraduates. Proceedings of the Annual Conference on Research in Undergraduate Mathematics Education (RUME). ISSN 2474-9346. s. 1236–1237. Vis sammendrag

  We use activity theory to analyze tensions manifested in an activity system of an extracurricular mathematical modeling (MM) project with biology undergraduates at a research intense Scandinavian university. We present the evidence that the use of MM in education of biology students accentuates conceptual understanding of mathematics and may lead to beneficial shifts in pedagogical practice.

• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2020). The Use of Nonstandard Problems in an Ordinary Differential Equations Course for Engineering Students Reveals Commognitive Conflicts.
• Rogovchenko, Yuriy (2020). Using Activity Theory to Understand Tensions in an Extra-Curricular Mathematical Modeling Project with Biology Undergraduates. Vis sammendrag

  We use activity theory to analyze tensions manifested in an activity system of an extracurricular mathematical modeling (MM) project with biology undergraduates at a research intense Scandinavian university. We present the evidence that the use of MM in education of biology students accentuates conceptual understanding of mathematics and may lead to beneficial shifts in pedagogical practice.

• Rogovchenko, Yuriy (2019). Mathematical modelling activity with biology undergraduates.
• Rogovchenko, Yuriy & Vos, Pauline (2019). MERGA Strand 2 - The teaching & learning of Mathematics in non-mathematical practices.
• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Thomas, Stephanie (2018). Non-standard Problems in an Ordinary Differential Equations Course.
• Thomas, Stephanie; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). THE USE OF NONSTANDARD PROBLEMS IN AN ODE COURSE FOR ENGINEERING STUDENTS.
• Liakos, Ioannis Evagellos; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). A New Tool for the Assessment of the Development of Students' Mathematical Competencies.
• Liakos, Ioannis Evagellos & Rogovchenko, Yuriy (2018). Assessing the Development of Students’ Mathematical Modeling Competencies: An Information Entropy Approach.
• Thomas, Stephanie; Rogovchenko, Svitlana & Rogovchenko, Yuriy (2018). Development of Students Mathematical Discourse through Individual and Group Work with Nonstandard Problems on Existence and Uniqueness Theorems.
• Rogovchenko, Yuriy & Li, Tongxing (2017). Oscillation criteria for second-order neutral differential equations.
• Viirman, Olov Lui; Hernandez-Martinez, Paul; Treffert-Thomas, Stephanie & Rogovchenko, Yuriy (2017). Joy of mathematical modelling: a forgotten perspective?
• Goodchild, Simon; Viirman, Olov Lui & Rogovchenko, Yuriy (2017). An inquiry based approach to the development of a mathematical modelling infused curriculum for biology students.
• Rogovchenko, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2017). Individual and Group Work with Nonstandard Problems in an ODE course for Engineering Students.
• Li, Tongxing; Bohner, Marc; Candan, Tuncay; Rogovchenko, Yuriy & Wang, Qi-Ru (2016). Qualitative theory of differential equations, difference equations, and dynamic equations on time scales. Scientific World Journal. ISSN 1537-744X. 2016:9094613, s. 1–2. doi: 10.1155/2016/9094613.
• Viirman, Olov Lui; Goodchild, Simon & Rogovchenko, Yuriy (2016). Using mathematical modelling activities to motivate biology students to learn mathematics.
• Viirman, Olov Lui; Goodchild, Simon & Rogovchenko, Yuriy (2015). Using mathematical modelling activities to motivate biology students to learn mathematics.
• Rogovchenko, Yuriy (2015). Sammen om å utdanne fremtidens biologer. [Tidsskrift]. SFU magasinet.
• Li, Tongxing; Diblík, Josef; Domoshnitsky, Alexander; Rogovchenko, Yuriy; Sadyrbaev, Felix & Wang, Qi-Ru (2015). Qualitative Analysis of Differential, Difference Equations, and Dynamic Equations on Time Scales. Abstract and Applied Analysis. ISSN 1085-3375. 2015. doi: 10.1155/2015/643706.
• Rogovchenko, Yuriy (2014). Review on the book "The Universe in Zero Words. The story of mathematics as told through equations" by Dana Mackenzie. EMS Newsletter. ISSN 1027-488X. s. 57–57.
• Diblík, Josef; Braverman, Elena; Györi, István; Rogovchenko, Yuriy; Ruzicková, Miroslava & Zafer, Agacik (2014). Functional Differential and Difference Equations with Applications 2013. Abstract and Applied Analysis. ISSN 1085-3375. 2014, s. 1–2. doi: 10.1155/2014/543797.
• Rogovchenko, Yuriy; Su, Hua; Sang, Yanbin; Xu, Fuyi & Raffoul, Youssef (2013). Nonlinear functional difference equations with applications. Discrete Dynamics in Nature and Society. ISSN 1026-0226. doi: 10.1155/2013/360860.
• Diblík, Josef; Braverman, Elena; Györi, István; Rogovchenko, Yuriy; Ruzicková, Miroslava & Zafer, Agacik (2012). Functional Differential and Difference Equations with Applications. Abstract and Applied Analysis. ISSN 1085-3375. 2012. doi: 10.1155/2012/986585.
• Hernandez-Martinez, Paul; Treffert-Thomas, Stephanie; Rogovchenko, Yuriy & Viirman, Olov Lui (2016). Mathematics Lecturers' Views on the Teaching of Mathematical Modelling. MatRIC.

Se alle arbeider i Cristin