The graduate mathematics education program at Texas A&M represents an updated approach to preparing leaders for 21st century mathematics education. Today's elementary, middle, secondary, and university mathematics research, instruction, and curriculum embrace a variety of strategies and technologies. The Texas A&M graduate program in mathematics education includes work with the latest research findings, curriculum developments, computer-based teaching tools, internet and web-based sources, and information technologies such as modeling, visualization, and data management. The program characteristics include:
° Research-based degree with an emphasis on mathematics learning with understanding and how to advance mathematics performance for all students.
° Opportunity for individualized projects that expand knowledge about teaching and learning with and through technology.
° Technology-rich environment, not only in terms of instructional tools, but also in the opportunity to employ technology in collecting data, modeling applied situations, and building representations of important mathematics concepts.
° Opportunity to study with a group of like-minded and motivated colleagues. Scheduled and available courses, making it possible to complete a degree within a well-defined time period.
° Course work and research available on-campus, as well as via the internet and through distance-learning, offering geographic and economic flexibility and accessibility.
Students come from a variety of backgrounds, possess a wide array of experiences, and achieve national exposure before graduation. As a result of mentorship by mathematics education faculty and through participation in extant research projects, graduate students will present their work at local, regional, and national conferences as well as publish in relevant journals.
Courses in Mathematics Education
EDCI 617. Early Childhood Mathematics.
Development of mathematical concepts in young children from developmental and mathematical perspectives. Prerequisite: Graduate classification.
EDCI 619. Teaching and Learning Number and Quantity Concepts.
Examination of the content , pedagogy, technology, and research on teaching and learning concepts on number and quantityconcepts; discussion of contemporary issues in K-12, standards and assessment.
EDCI 621. Teaching and Learning Space, Dimension, and Measurement Concepts.
Examination of the content, pedagogy, technology, and research on teaching and learning concepts on space, dimension, and measurment concepts. Discussion of contemporary issues in K-12, standards and assessments.
EDCI 622. Theories of Learning and Teaching Mathematics.
Theoretical bases of the learning and teaching of mathematics, including an examination of the research which supports the theoretical bases.
EDCI 623. Teaching and Learning Pattern and Change Concepts.
Examination of the content, pedagogy, technology, and research on teaching and learning concepts on skills in algebra, functions and calculus. Discussion of contemporary issues in K-12, standards and assessment.
EDCI 624. Assessing Cognitive, Conceptual, and Fluency Structures Related to Learning and Teach Mathematics.
Examines diagnostic and assessment procedures in mathematics and their potential for identifying problem areas related to children's acquisition of mathematical skills; number and quantity concepts. Prerequisite: Graduate classification.
EDCI 625. Teaching and Learning Mathematics with Diverse Learners.
Examining diagnostic and assessment procedures in mathematics and their potential for identifying problem areas related to children's acquisition of mathematical skills; number and quantity concepts. Prerequiste: EDCI 624.
EDCI 627. Teaching and Learning Data Analysis and Uncertainty Concepts.
Examination of the content, pedagogy, technology, and research on teaching and student learning of concpets and skills in probability, statistics, and discrete mathematics; discussion of contemporary issues and K-12 curriculum, standards and assessment. Prerequisite: Graduate classification.
EDCI 628. Analyzing and Reporting Field Based Research.
Analyze data from clasroom observation, empirical tests and interviews; link theoretical and practical mathematics education to analysis of qualitative and quantitative data; equip teacher-leaders and researchers with the reqources to interpret classtoom phenomena from the research perspective using research-based theories of reaching and learning. Prerequisite: Graduate classification.
Mathematics Education Faculty Members
Mathematics Education Website: http://mathed.tamu.edu/