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Showing 1 to 15 of 20 results Save | Export
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William Reid Carlisle; Hyunyi Jung; Megan H. Wickstrom; Kayla Sutcliffe; Hee-jeong Kim – International Journal of Science and Mathematics Education, 2025
Although culturally responsive mathematics teaching is important, post-secondary education for preservice teachers (PTs) does not typically lead to learning opportunities for them to use mathematics to recognize the roles of social agents. To address this issue, we created a culturally responsive mathematical modeling task in which we invited PTs…
Descriptors: Mathematical Models, Culturally Relevant Education, Mathematics Education, Preservice Teacher Education
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Baumer, Benjamin S.; Garcia, Randi L.; Kim, Albert Y.; Kinnaird, Katherine M.; Ott, Miles Q. – Journal of Statistics and Data Science Education, 2022
We present a programmatic approach to incorporating ethics into an undergraduate major in statistical and data sciences. We discuss departmental-level initiatives designed to meet the National Academy of Sciences recommendation for integrating ethics into the curriculum from top-to-bottom as our majors progress from our introductory courses to our…
Descriptors: Ethics, Statistics Education, Data Analysis, Teaching Methods
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Simcock, David C.; Chua, Wei-Hang; Hekman, Margreet; Levin, Matthew T.; Brown, Simon – Knowledge Management & E-Learning, 2019
Audiovisual recordings of lectures are available to many students in all disciplines. The use of lecture recordings has been studied extensively, but it is still not clear how, or how much, they are actually used. Previous analysis of their use has been based on either survey data or computer logs of access. In the latter case, measurements of…
Descriptors: Audiovisual Aids, Video Technology, Lecture Method, Science Instruction
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education
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Stern, David; Stern, Roger; Parsons, Danny; Musyoka, James; Torgbor, Francis; Mbasu, Zach – Statistics Education Research Journal, 2020
The African Data Initiative started as a crowd-sourced campaign to improve the teaching of statistics in African universities. The analysis of climate data provides one suitable context to illustrate ideas that lead to a radical new form of teaching. The problem within the context comes first, the technicalities are largely reduced -- mathematics…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Higher Education
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Didis, Makbule Gozde; Erbas, Ayhan Kursat; Cetinkaya, Bulent; Cakiroglu, Erdinc; Alacaci, Cengiz – Mathematics Education Research Journal, 2016
Researchers point out the importance of teachers' knowledge of student thinking and the role of examining student work in various contexts to develop a knowledge base regarding students' ways of thinking. This study investigated prospective secondary mathematics teachers' interpretations of students' thinking as manifested in students' work that…
Descriptors: Preservice Teachers, Secondary School Teachers, Mathematics Teachers, Mathematical Models
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Çelik, H. Coskun – Educational Research and Reviews, 2017
The aim of the present study was to examine the mathematical modelling studies done between 2004 and 2015 in Turkey and to reveal their tendencies. Forty-nine studies were selected using purposeful sampling based on the term, "mathematical modelling" with Higher Education Academic Search Engine. They were analyzed with content analysis.…
Descriptors: Mathematical Models, Foreign Countries, Content Analysis, Qualitative Research
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Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – ZDM: The International Journal on Mathematics Education, 2018
Elements of statistical modeling can be implemented already in primary school. A prerequisite for this approach is that teachers are well-educated in this domain. Content knowledge, pedagogical content knowledge and (pedagogical) content related technological knowledge are core components of teacher education. We designed a course for elementary…
Descriptors: Preservice Teachers, Elementary School Teachers, Pedagogical Content Knowledge, Civics
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Caprotti, Olga – Journal of Learning Analytics, 2017
This paper describes investigations in visualizing logpaths of students in an online calculus course held at Florida State University in 2014. The clickstreams making up the logpaths can be used to visualize student progress in the information space of a course as a graph. We consider the graded activities as nodes of the graph, while information…
Descriptors: Online Courses, Calculus, Markov Processes, Graphs
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Hidiroglu, Çaglar Naci; Güzel, Esra Bukova – International Journal for Technology in Mathematics Education, 2017
The aim of the study is to conceptualize the technology-aided mathematical modelling process in the frame of cognitive modelling perspective. The grounded theory approach was adopted in the study. The research was conducted with seven groups consisting of nineteen prospective mathematics teachers. The data were collected from the video records of…
Descriptors: Mathematical Concepts, Mathematics Education, Mathematical Models, Mathematics
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National Academies Press, 2018
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will…
Descriptors: Undergraduate Students, Data, Data Analysis, Information Utilization
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Raju, Dheeraj; Schumacker, Randall – Journal of College Student Retention: Research, Theory & Practice, 2015
The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…
Descriptors: Student Characteristics, Higher Education, Graduation Rate, Academic Persistence
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Ellis, Amy B.; Ozgur, Zekiye; Kulow, Torrey; Dogan, Muhammed F.; Amidon, Joel – Mathematical Thinking and Learning: An International Journal, 2016
This article presents an Exponential Growth Learning Trajectory (EGLT), a trajectory identifying and characterizing middle grade students' initial and developing understanding of exponential growth as a result of an instructional emphasis on covariation. The EGLT explicates students' thinking and learning over time in relation to a set of tasks…
Descriptors: Numbers, Mathematics, Mathematics Instruction, Middle School Students
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Neilan, Rachael Miller – PRIMUS, 2013
This article describes a computational project designed for undergraduate students as an introduction to mathematical modeling. Students use an ordinary differential equation to describe fish weight and assume the instantaneous growth rate depends on the concentration of dissolved oxygen. Published laboratory experiments suggest that continuous…
Descriptors: Undergraduate Students, Mathematical Models, Calculus, Ichthyology
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Cetinkaya, Bulent; Kertil, Mahmut; Erbas, Ayhan Kursat; Korkmaz, Himmet; Alacaci, Cengiz; Cakiroglu, Erdinc – Mathematical Thinking and Learning: An International Journal, 2016
Adopting a multitiered design-based research perspective, this study examines pre-service secondary mathematics teachers' developing conceptions about (a) the nature of mathematical modeling in simulations of "real life" problem solving, and (b) pedagogical principles and strategies needed to teach mathematics through modeling. Unlike…
Descriptors: Foreign Countries, Preservice Teachers, Student Teacher Attitudes, Mathematical Models
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