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Timothy H. Lehmann – Educational Studies in Mathematics, 2024
Developing students' competence in algorithmic thinking is emerging as an objective of mathematics education, but despite its inclusion in mathematics curricula around the world, research into students' algorithmic thinking seems to be falling behind in this curriculum reform. The aim of this study was to investigate how the mathematical modelling…
Descriptors: Mathematical Models, Algorithms, Thinking Skills, Mathematics Instruction
Singh, Mahua – Australian Mathematics Education Journal, 2021
In 2020, Year 12 students at John Curtin College of the Arts, were required to model COVID-19 data from five different countries in order to find correlations between daily infections and unemployment rates, in order to make future predictions. Work received from students demonstrated how the task successfully provided unique learning…
Descriptors: Mathematical Models, Mathematics Instruction, High School Students, Grade 12
Passarella, Simone – Research in Mathematics Education, 2022
This paper reports on a teaching experiment on mathematical modelling in an upper secondary school class that investigates how the constructs of "model eliciting" and "emergent modelling" may be brought together to inform teaching and learning. A prominent role is covered by the process of task design, seen as a complex process…
Descriptors: Case Studies, Teaching Methods, Learning Processes, Mathematics Instruction
Julie, Cyril – International Journal of Mathematical Education in Science and Technology, 2020
A widely used instrument was implemented to ascertain the mathematical modelling competency displayed by a cohort of South African learners in grade 10 and grade 12 of the school mathematics programme in South Africa. The cohort comprised 471 grade 10 and 200 grade 12 learners from schools serving learners from low socio-economic status…
Descriptors: Foreign Countries, Secondary School Students, Grade 10, Grade 12
Czocher, Jennifer A.; Moss, Diana L. – Mathematics Teacher, 2017
Why are math modeling problems the source of such frustration for students and teachers? The conceptual understanding that students have when engaging with a math modeling problem varies greatly. They need opportunities to make their own assumptions and design the mathematics to fit these assumptions (CCSSI 2010). Making these assumptions is part…
Descriptors: Mathematical Models, Problem Solving, Mathematics Instruction, High School Students
Jacobs, Gerrie J.; Durandt, Rina – EURASIA Journal of Mathematics, Science & Technology Education, 2017
This study explores the attitudes of mathematics pre-service teachers, based on their initial exposure to a model-eliciting challenge. The new Curriculum and Assessment Policy Statement determines that mathematics students should be able to identify, investigate and solve problems via modelling. The unpreparedness of mathematics teachers in…
Descriptors: Mathematics Teachers, Preservice Teachers, Inquiry, Mathematics
Jago, Carol – National Assessment Governing Board, 2009
National Assessment for Educational Progress (NAEP) frameworks describe the content and skills measured on NAEP assessments as well as the design of the assessment. They provide both the "what" and the "how" for national assessment. Representing the best thinking of thousands of educators, experts, parents, and policymakers,…
Descriptors: Governing Boards, Academic Achievement, Models, Educational Improvement
Stamovlasis, Dimitrios; Tsaparlis, Georgios – Science Education, 2012
In this study, we test an information-processing model (IPM) of problem solving in science education, namely the working memory overload model, by applying catastrophe theory. Changes in students' achievement were modeled as discontinuities within a cusp catastrophe model, where working memory capacity was implemented as asymmetry and the degree…
Descriptors: Predictor Variables, High School Students, Logical Thinking, Science Education
Mayes, Robert; Koballa, Thomas R., Jr. – Science Scope, 2012
The vision for science education set forth in "A Framework for K-12 Science Education" (NRC 2012) makes it clear that for today's students to become the scientifically literate citizens of tomorrow their educational experiences must help them become mathematically proficient. "The focus here is on important practices, such as modeling, developing…
Descriptors: State Standards, Computers, Science Education, Scientific Literacy
Mayes, Robert; Koballa, Thomas R., Jr. – Science and Children, 2012
The vision for science education set forth in "A Framework for K-12 Science Education" (NRC 2012) makes it clear that for today's students to become the scientifically literate citizens of tomorrow, their educational experiences must help them become mathematically proficient. "The focus here is on important practices, such as modeling, developing…
Descriptors: State Standards, Computers, Science Education, Scientific Literacy
Geiger, Vince; Faragher, Rhonda; Goos, Merrilyn – Mathematics Education Research Journal, 2010
This paper draws on a one year study of three secondary school classrooms to examine the nature of student-student-technology interaction when working in partnership with computer algebra systems (CAS) on mathematical modelling tasks and the classroom affordances and constraints that influence such interaction. The analysis of these data indicates…
Descriptors: Computer Uses in Education, Interaction, Classroom Environment, Algebra
Common Core State Standards Initiative, 2011
For over a decade, research studies of mathematics education in high-performing countries have pointed to the conclusion that the mathematics curriculum in the United States must become substantially more focused and coherent in order to improve mathematics achievement in this country. To deliver on the promise of common standards, the standards…
Descriptors: Mathematics Curriculum, Mathematics Education, State Standards, Mathematics Achievement
Stillman, Gloria – Mathematics Education Research Journal, 2004
A cognitive/metacognitive framework is presented for analysing applications tasks and responses to these. Conditions facilitating or impeding access to such tasks at the upper secondary level were identified using qualitative data analysis techniques within this framework. Strategies employed in exploiting, or overcoming these conditions were…
Descriptors: High School Students, Data Analysis, Metacognition, Mathematical Applications