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Physical Sciences · Mathematics

Mathematics Education and Programs
Research Guide

What is Mathematics Education and Programs?

Mathematics Education and Programs is a field focused on mathematics education in higher engineering and science, emphasizing support for students' transition to tertiary mathematics, improvement of numeracy skills, enhancement of student engagement, and use of diagnostic testing for learning support.

This area addresses challenges in STEM education and the influence of mathematics background on success in engineering and science disciplines. It includes 38,034 works with no specified 5-year growth rate. Key elements involve mathematics support for engineering students, tertiary mathematics transition, numeracy skills development, student engagement, mathematical literacy, and diagnostic testing.

Topic Hierarchy

100%
graph TD D["Physical Sciences"] F["Mathematics"] S["Modeling and Simulation"] T["Mathematics Education and Programs"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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38.0K
Papers
N/A
5yr Growth
55.3K
Total Citations

Research Sub-Topics

Mathematics Diagnostic Testing in Higher Education

This sub-topic develops and validates diagnostic assessment tools identifying specific mathematical misconceptions and knowledge gaps in entering STEM students. Researchers study instrument psychometrics, error pattern analysis, and prescriptive feedback systems.

15 papers

Tertiary Mathematics Transition for Engineering Students

This sub-topic examines cognitive and epistemological challenges students face transitioning from school to university-level mathematics in engineering contexts. Researchers investigate threshold concepts, mathematical rigor, and bridging programs.

15 papers

Mathematics Support Centres in Universities

This sub-topic evaluates peer tutoring, workshops, and drop-in support services addressing mathematics anxiety and skill deficits. Researchers conduct randomized trials measuring impact on pass rates and student confidence.

15 papers

Numeracy Skills Development in STEM Education

This sub-topic targets quantitative reasoning, data interpretation, and modeling skills essential for applied STEM disciplines beyond symbolic manipulation. Researchers develop contextualized numeracy curricula and assessment frameworks.

15 papers

Student Engagement Strategies in University Mathematics

This sub-topic investigates active learning, technology integration, and collaborative strategies increasing motivation and deep learning in calculus and linear algebra courses. Researchers measure engagement via attendance, participation, and conceptual understanding.

15 papers

Why It Matters

Mathematics Education and Programs directly impacts student success in STEM fields by addressing transitions to tertiary mathematics and numeracy gaps, which affect engineering and science performance. Maltese and Tai (2011) analyzed U.S. student data in 'Pipeline persistence: Examining the association of educational experiences with earned degrees in STEM among U.S. students' (994 citations), finding that early positive educational experiences correlate with higher STEM degree completion rates, helping sustain U.S. research leadership amid economic pressures. Kilpatrick, Martin, and Schifter (2003) in 'A research companion to Principles and standards for school mathematics' (1132 citations) synthesize literature to inform school mathematics practices that build foundational skills for higher education. Land (2003) in 'Threshold Concepts and Troublesome Knowledge: linkages to ways of thinking and practising within the disciplines' (1052 citations) identifies disciplinary thinking barriers, aiding targeted interventions in university programs. Stroud and Booth (2011) provide 'Advanced Engineering Mathematics' (1036 citations), a programmed textbook used in upper-level engineering courses to support skill acquisition.

Reading Guide

Where to Start

'A research companion to Principles and standards for school mathematics' by Kilpatrick, Martin, and Schifter (2003), as it synthesizes foundational literature on school mathematics practices that underpin tertiary support.

Key Papers Explained

Kilpatrick, Martin, and Schifter (2003) in 'A research companion to Principles and standards for school mathematics' (1132 citations) provides scholarly underpinnings for mathematics standards, which Land (2003) builds on in 'Threshold Concepts and Troublesome Knowledge: linkages to ways of thinking and practising within the disciplines' (1052 citations) by linking to disciplinary challenges. Stroud and Booth (2011) apply these concepts practically in 'Advanced Engineering Mathematics' (1036 citations), offering programmed learning tools. Maltese and Tai (2011) extend to outcomes in 'Pipeline persistence: Examining the association of educational experiences with earned degrees in STEM among U.S. students' (994 citations), quantifying persistence factors.

Paper Timeline

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graph LR P0["A Course of Higher Mathematics
1964 · 881 cites"] P1["Improving the Productivity of Am...
1984 · 732 cites"] P2["A research companion to Principl...
2003 · 1.1K cites"] P3["Threshold Concepts and Troubleso...
2003 · 1.1K cites"] P4["Advanced Engineering Mathematics
2011 · 1.0K cites"] P5["Pipeline persistence: Examining ...
2011 · 994 cites"] P6["PISA 2012 Assessment and Analyti...
2013 · 782 cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P2 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Research continues on mathematics support strategies for engineering students and STEM transitions, with emphasis on numeracy and diagnostic testing. No recent preprints or news coverage available in the last 6-12 months. Ongoing focus remains on student engagement and mathematical literacy challenges.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 A research companion to Principles and standards for school ma... 2003 Medical Entomology and... 1.1K
2 Threshold Concepts and Troublesome Knowledge: linkages to ways... 2003 1.1K
3 Advanced Engineering Mathematics 2011 1.0K
4 Pipeline persistence: Examining the association of educational... 2011 Science Education 994
5 A Course of Higher Mathematics 1964 Elsevier eBooks 881
6 PISA 2012 Assessment and Analytical Framework 2013 Programme for internat... 782
7 Improving the Productivity of America's Schools. 1984 Educational leadership 732
8 Acquisition of mathematics concepts and processes 1983 Academic Press eBooks 731
9 A Course of Higher Mathematics 1964 Elsevier eBooks 715
10 The development of chemistry teaching: A changing response to ... 1993 Journal of Chemical Ed... 690

Frequently Asked Questions

What role does diagnostic testing play in mathematics education programs?

Diagnostic testing identifies numeracy skill gaps and supports effective learning in tertiary mathematics for engineering students. It facilitates targeted interventions during university transition. This approach enhances student engagement and mathematical literacy in STEM contexts.

How does mathematics background affect STEM degree completion?

Mathematics background influences persistence in STEM pipelines, as shown by analysis of U.S. student data. Positive early educational experiences link to higher earned degrees in science, technology, engineering, and mathematics. Maltese and Tai (2011) demonstrated this association in their study with 994 citations.

What are threshold concepts in mathematics education?

Threshold concepts represent transformative ways of thinking that create troublesome knowledge in disciplines like mathematics. They link to practicing within fields such as engineering and science education. Land (2003) explored these in ETL project research, cited 1052 times.

How do programmed approaches aid engineering mathematics learning?

Programmed textbooks guide self-paced learning of upper-level engineering mathematics. They cover required topics for undergraduate courses. Stroud and Booth (2011) detailed this in 'Advanced Engineering Mathematics', with 1036 citations.

What frameworks assess mathematics skills internationally?

PISA frameworks evaluate student preparedness in analyzing, reasoning, and communicating mathematical ideas. They assess skills for future economic and societal roles. OECD (2013) outlined this in 'PISA 2012 Assessment and Analytical Framework', cited 782 times.

Open Research Questions

  • ? How can diagnostic testing be optimized to predict and improve engineering student success in tertiary mathematics?
  • ? What specific educational experiences most strongly predict STEM degree persistence across diverse U.S. student populations?
  • ? Which threshold concepts pose the greatest barriers to mathematical thinking in higher science disciplines?
  • ? How do numeracy interventions during university transition affect long-term engagement in STEM fields?

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