Svitlana Rogovchenko

• 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.
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar; Vysochinskiy, Dmitry & Klausen, Andreas (2023). Development and Extended Validation of a Lumped Parameter Prediction Model for Analysing Injury Parameters in a Vehicle Crash. I Wagner, Gerd; Werner, Frank; Tuncer, Oren & De Rango, Floriano (Red.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2021. Springer. ISSN 978-3-031-23149-0. doi: 10.1007/978-3-031-23149-0_1.
• 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.
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Vysochinskiy, Dmitry & Robbersmyr, Kjell Gunnar (2023). A Numerical Comparison of Lagrange and Kane’s Method for Modeling and Crashworthiness Assessment of a Modified Vehicle. I Wagner, Gerd; Werner, Frank & De Rango, Floriano (Red.), Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2022. Springer. ISSN 978-3-031-43823-3. s. 156–176. doi: 10.1007/978-3-031-43824-0_9.
• 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.

• Noorsumar, Gulshan; Rogovchenko, Svitlana; Vysochinskiy, Dmitry & Robbersmyr, Kjell Gunnar (2022). Modeling of Modified Vehicle Crashworthiness using a Double Compound Pendulum. I Wagner, Gerd; Werner, Frank & De Rango, Floriano (Red.), Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress. ISSN 978-989-758-578-4. s. 102–111. doi: https:/doi.org/10.5220/0011306100003274. Fulltekst i vitenarkiv Vis sammendrag

  Vehicle crash modeling has been a challenge for researchers for several decades. Occupant injury prevention and prediction is a critical area within vehicle safety design. The modeling of material failure in structural members during a full frontal crash has been presented in this paper. This study presents a Lumped Parameter Model (LPM) with an elastic double compound pendulum replicating the impact kinematics. The model defined using Lagrangian formulation; presents a novel methodology to represent material fracture caused due to heat affected zones or welding in Ultra High Strength Steels (UHSS) in a non-linear crash event. The material fracture leads to rotation of the vehicle; presented in the form of torsional springs in the LPM developed in this study. The Simulink model has been validated with a finite element simulation and shows good correlation to predict parameters crucial to design for occupant protection in a vehicle crash.

• 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.
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar & Vysochinskiy, Dmitry (2022). Vehicle crashworthiness performance in frontal impact: Mathematical model using elastic pendulum. Mechanics research communications. ISSN 0093-6413. 124. doi: 10.1016/j.mechrescom.2022.103954. Fulltekst i vitenarkiv Vis sammendrag

  Vehicle occupant injuries due to collisions cause many fatalities every year. Safe vehicle design plays a critical role in averting serious injuries to occupants and vulnerable road users in the event of a crash. In this paper we study a full frontal vehicle crash against a rigid barrier introducing a Lumped Parameter Model (LPM) inspired by the elastic pendulum motion. The model uses polar coordinates to simplify the problem and the governing equations have been defined using Lagrangian formulation. The Simulink model has been validated against Finite Element (FE) data demonstrating good correlation with pitching angle and maximum crush of the vehicle. These parameters are crucial for designing vehicles which efficiently protect occupants.

• Noorsumar, Gulshan; Robbersmyr, Kjell Gunnar; Rogovchenko, Svitlana & Vysochinskiy, Dmitry (2022). An Overview of Data Based Predictive Modeling Techniques Used in Analysis of Vehicle Crash Severity. I Sanfilippo, Filippo; Granmo, Ole-Christoffer; Yildirim Yayilgan, Sule & Bajwa, Imran Sarwar (Red.), Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers. Springer. ISSN 978-3-031-10524-1. s. 355–379. doi: 10.1007/978-3-031-10525-8_28. Vis sammendrag

  Accident injury prediction is a crucial constituent to reducing fatalities linked to vehicle crashes. The vehicle development process and road safety planning includes also the injury prediction for occupants and Vulnerable Road Users (VRUs) in a vehicle crash and the identification of the factors responsible for increased traffic collision injuries. This paper reviews the different data-based prediction techniques to modeling a vehicle crash event, crash frequency and crash severity. Machine learning (ML) is a research field which has gained impetus in the recent years and is widely used in different engineering applications; including injury prediction in vehicle collisions. The paper is divided into two major sections; the first section presents an overview of the existing predictive models for estimating injury severity in a crash event to occupants and VRUs and the second section describes the applications of data-based modeling techniques to predict crash frequency in different traffic scenarios. We also discuss possible future applications of data-based modeling techniques in this domain.

• Gómez-Chacón, Inés M.; Hochmuth, Reinhard; Rogovchenko, Svitlana & Brouwer, Nataša (2021). Methods and Materials for Professional Development of Lecturers, Inquiry in University Mathematics Teaching and Learning. The Platinum Project. Nakladatelství Masarykovy univerzity. ISSN 978-80-210-9983-8. s. 127–146. doi: 10.5817/CZ.MUNI.M210-9983-2021-7. Fulltekst i vitenarkiv
• 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.
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar; Vysochinskiy, Dmitry & Klausen, Andreas (2021). A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models, 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2021). SciTePress. ISSN 978-989-758-528-9. s. 62–70. doi: 10.5220/0010529200620070. Fulltekst i vitenarkiv
• Noorsumar, Gulshan; Vysochinskiy, Dmitry; Englund, Even; Robbersmyr, Kjell Gunnar & Rogovchenko, Svitlana (2021). Effect of welding and heat treatment on the properties of UHSS used in automotive industry. The European Physical Journal Conferences. ISSN 2101-6275. 250. doi: 10.1051/epjconf/202125005015. Fulltekst i vitenarkiv
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar & Vysochinskiy, Dmitry (2021). Mathematical models for assessment of vehicle crashworthiness: a review. International Journal of Crashworthiness. ISSN 1358-8265. doi: 10.1080/13588265.2021.1929760. Fulltekst i vitenarkiv
• Rogovchenko, Svitlana (2021). Mathematical Modelling Problems in a Mathematics Course for Engineers: A Commognitive Perspective. 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. 561–570. doi: 10.1007/978-3-030-66996-6_47.
• 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.

• Noorsumar, Gulshan; Robbersmyr, Kjell Gunnar; Rogovchenko, Svitlana & Vysochinskiy, Dmitry (2020). Crash Response of a Repaired Vehicle-Influence of Welding UHSS Members. SAE technical paper series. ISSN 0148-7191. 1- 2020(April), s. 1–5. doi: 10.4271/2020-01-0197. Fulltekst i vitenarkiv
• 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
• 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

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?
• Noorsumar, Gulshan; Robbersmyr, Kjell Gunnar; Rogovchenko, Svitlana & Vysochinskiy, Dmitry (2021). An overview of Data Based Predictive Modeling Techniques used in Analysis of Vehicle Crash Severity.
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar; Vysochinskiy, Dmitry & Klausen, Andreas (2021). A Novel Technique for Modeling Vehicle Crash using Lumped Parameter Models.
• 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, Svitlana (2019). Exploration routines in a Differential Equations course: students’ work with non-standard problems.
• Rogovchenko, Svitlana (2019). Mathematical modelling tasks in an ODE course: a commognitive perspective.
• 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.
• 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, Svitlana; Rogovchenko, Yuriy & Treffert-Thomas, Stephanie (2017). Individual and Group Work with Nonstandard Problems in an ODE course for Engineering Students.
• Rogovchenko, Svitlana (2016). „Experience with running mathematics support centre at UiA“.
• Rogovchenko, Svitlana (2015). Introduction to The UNIVERSITY LEVEL MATHEMATICS TEACHING COURSE AT NTNU.
• Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar & Vysochinskiy, Dmitry (2023). Modeling, Simulation and Prediction of Vehicle Crashworthiness in Full Frontal Impact. University of Agder. ISSN 978-82-8427-113-2. Fulltekst i vitenarkiv

Se alle arbeider i Cristin