I have been a Ph.D. candidate in Mathematics and Statistics Education at NC State University since August 2020 and expect to finish my studies in May 2024. My research focuses on data science education, specifically data visualization and physicalization, data literacy, and data storytelling. I am also getting a Ph.D. minor in Statistics from NC State University. Before starting the Ph.D. program, I received my Master's in Mathematics Education from NC State University in 2020. The research focuses in my Master's was on Probabilistic Reasoning in middle graders, precisely the various types of misconceptions that they exhibit when reasoning about chance, data, randomness, sample size, and independence of events. As a graduate student, I have been involved in different research projects as a research assistant at NC State University, focusing on a wide range of topics such as Probability Education, Psychometric Modeling and Classifications, Teaching Math with Technology, Data Science Education, Data Storytelling, and Data Visualizations. In the 2022-2023 academic year, I will be teaching R/Python in the Data Science Academy at NC State University. I will also help them as a research assistant to conduct studies focusing on educational topics such as their students' performance. Though my first teaching experience at NC State University goes back to the Fall of 2019 when I worked as a graduate teaching assistant helping the primary instructor to teach an introductory course regarding teaching mathematics to preservice mathematics teachers studying at NC State University. My undergraduate background is in Statistics, and I received my Bachelor's degree in Statistics from Isfahan University of Technology (2008-2013). My undergraduate thesis focused on Biostatistics, and I conducted a study investigating influential factors impacting renal disease. I applied multivariate statistical analyses to examine the role of critical factors in improving renal disease. As an undergraduate student, I was a teaching assistant for three semesters helping in different courses such as Probability for Engineers and Statistical Methods for Agricultural Students, which included statistical software labs (SAS and SPSS). After graduating in 2013, I worked in different manufacturing and private companies as a statistical data analyst, statistical consultant, and quality assurance engineer. Teaching was also an essential part of my work and research experience when I was working as an educational consultant at Isfahan Mathematics House (2012-2018). My primary responsibilities involved designing and conducting workshops and sessions for students from different ranges (Pre-K to Collegiate) to help them understand and apply statistical concepts. Also, I had several workshops for teachers to help them teach statistics and probability in more efficient and beneficial ways by using technologies and advanced pedagogies in their classrooms.
Examining How Students Code with Socioscientific Data to Tell Stories About Climate Change
Sanei, H., Kahn, J. B., Yalcinkaya, R., Jiang, S., & Wang, C. (2023, June 17). JOURNAL OF SCIENCE EDUCATION AND TECHNOLOGY, Vol. 6.
2023 journal article
Validating a concept inventory for measuring students' probabilistic reasoning: The case of reasoning within the context of a raffle
JOURNAL OF MATHEMATICAL BEHAVIOR, 71.
2019 conference paper
Students’ reasoning about probability in the context of a raffle.
The Third International Virtual Congress on Statistical Education (CIVEEST).
Preservice secondary teachers’ reasoning about static and dynamic representations of function.
Yalman Ozen, D., Bailey, N. G., Fletcher, S., Sanei, H. R., McCulloch, A. W., & Lovett. 43rd annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, N.
Updated: April 3rd, 2022 13:54
2018 - 2023
2019 - 2020
Updated: April 3rd, 2022 13:59
2020 - 2024
2020 - 2024
2018 - 2020
2008 - 2013