The purpose of this study is to provide an in‐depth analysis of attitudes and perceptions related to the integration of mathematics, science, and technology education of preservice teachers preparing to teach STEM disciplines. Longitudinal data by individual cohort and across 7 years of the Integrated Mathematics, Science, and Technology (MSAT) Program are reported, analyzed, and interpreted to help design and improve preservice teacher education programs and improve teaching and learning in STEM classrooms. Results of quantitative analyses indicate that there was generally no change in preservice teacher attitudes and perceptions related to the value of the integration of mathematics, science, and technology education—they clearly valued integration at the onset and at the completion of the program. However, there was a significant change in preservice teacher attitudes and perceptions related to integration feasibility in terms of inefficiency and difficulty. Implications for teacher education programs include: (a) more exposure to concepts, processes, and skills in STEM that are similar, analogous, complementary, or synergistic; (b) familiarity with instructional strategies and access to resources; (c) deeper understanding of content across STEM; and (d) strategies for collaboration and team work to make integrated instruction time more efficient and less difficult to manage.

The purpose of this article is twofold: (a) to describe a unique teacher licensure program for grades 7-12 that integrates mathematics, science, and technology education and (b) to explore the attitudes and perceptions related to the integration of mathematics, science, and technology education of three cohorts of preservice teachers enrolled in the first 3 years of the program. Eighty-one preservice teachers responded to a semantic differential to measure attitudes and perceptions related to "mathematics, science, and technology education integration." Principal components and internal consistency reliability analyses were computed to provide validity and reliability evidence. Preservice teachers also responded to one open-ended, free-response written question, "What does the integration of mathematics, science, and technology education mean to you?" Multivariate and univariate analyses of variance with repeated measures and Pearson cross-tabulation chi-square analyses were computed to identify pretest-posttest differences for the value and difficulty scales, identified by the principal components analysis. Analytic inductive methods were used to identify emergent themes in student written responses to the open-ended question. Results indicated no change in preservice teacher attitudes and perceptions related to the value of integration-they clearly valued integration at the onset and completion of the program, often citing student benefits. However, a significant change in preservice teacher attitudes and perceptions related to difficulty was noted. Upon completion of the program, preservice teachers perceived integration to be more difficult and identified barriers and challenges-demonstrating a more realistic, practical, and cautious approach to the integration of mathematics, science, and technology education.

Science and mathematics are naturally and logically related in the real world. Educators are trying to capture this relationship in the classroom in an effort to improve students' achievement and attitude in both disciplines. However, the literature abounds with terms and definitions related to the integration of science and mathematics education. The Berlin‐White Integrated Science and Mathematics (BWISM) Model was developed to provide a template to characterize current resources, guide in the development of new materials, and provide a common language to advance the research base related to integrated science and mathematics teaching and learning.

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Decision making can be defined as the process of making reasoned choices among alternatives based upon judgments consistent with the values of the decision maker. Models describing decision making generally include: identification of the problem, collection of relevant information, generation of alternatives, identification of consequences of alternatives, and selection of alternatives. This research focuses on the ability of children to generate alternatives in decision-making tasks. The problem was to determine the differential effects of the number of features of a decision-making situation in interview and computer-simulation modes on the number of alternatives children generate. The study involved 208 children with equal numbers of 2nd and 4th grade boys and girls. Each child responded to three decision-making situations either in an interview or computer-simulation mode. The three situations varied on the number of features of the award objects. An increase in the number of features (color) of the award objects (jelly beans) in a decision-making situation increased the number of alternatives generated. The children in this study generated more alternatives in the interview setting than with the computer simulation.