We are in the process of transition from the digital revolution, or the information age, to the age of synthesis (Cai, 2011; Hall, 1995). We argue that teaching and learning in the age of synthesis...

Student foundational knowledge of science, technology, engineering, and mathematics (STEM) is formed in their elementary education. Paradoxically, many elementary teachers have constrained background knowledge, confidence, and efficacy for teaching STEM that may hamper student STEM learning. The association between teacher preparation to teach STEM and student achievement in STEM motivated the authors' professional development program. The authors created and implemented a professional development program to address K–5 teacher confidence for, attitudes toward, knowledge of, and efficacy for teaching inquiry-based STEM. Using data from 2 independent cohorts the authors found significant and consistent increases in pre- to postinstitute assessments of teacher confidence, efficacy, and perceptions of STEM. Further, they found increased participant attention toward linking STEM curriculum and instruction to learning standards. Implications and suggestions for future research are discussed.

The potential influences of affective perceptions on cognitive engagement in learning, particularly with emotionally charged topics such as evolution, provide justification for acknowledging and assessing learners' attitudes toward content. One approach to determining students' attitudes toward a construct is to explicitly ask them to what degree they accept the related content. This was the approach we took as we developed the Inventory of Student Evolution Acceptance. Our goal was to make a finer-grained instrument that would assess acceptance on three evolution subscales: microevolution, macroevolution, and human evolution. Further, we sought to not conflate understanding with acceptance of the constructs. We began our instrument development with a series of interviews and open-ended questionnaires to determine students' perceptions of evolution acceptance. Based on the responses we developed and field tested a 49-item Likert scale instrument with stems distributed across our three targeted subscales. Using the data from our field test, we reduced the instrument to 24 items evenly distributed across the three subscales, and the revised instrument was again field tested with high school and undergraduate college students. The final instrument has an internal reliability of Cronbach's alpha of 0.96 and the items loaded onto three components that reflect documented evolution acceptance conditions. The instrument development, implications, and applications are discussed.

Conceptual change can be a challenging process, particularly in science education where many of the concepts are complex, controversial, or counter-intuitive. Yet, conceptual change is fundamental to science learning, which suggests science educators and science education researchers need models to effectively address and investigate conceptual change. Consideration of the current research and extant models of conceptual change reflect a need for a holistic, comprehensive, and dynamic model of conceptual change. In response, we developed the Dynamic Model of Conceptual Change (DMCC), which uses multiple lines of research that explore the variables influencing conceptual change and the dynamic interactions that take place during the conceptual change process in science teaching and learning. Unique to the DMCC is the potential for iterations, regression, enter and exit points at various stages of the conceptual change process, and the influences of message recognition, message engagement and processing, and the nature of the resulting conceptual change. The DMCC contains elements from extant models along with previously un-emphasized influential conceptual change variables such as culture, society, attitude, practices, and personal epistemology. We constructed the DMCC to provide science educators and researchers a more holistic framework for exploring conceptual change in science instruction and learning.