This dissertation investigates the complexities associated with developing expertise in physics problem-solving and the methods for measuring and assessing the skills involved. Problem-solving skills are critical in today's rapidly changing world, and thus, it is important to emphasize them in education. However, lacking precise methods for…

This study explores how children from two to nine years of age develop Computational Thinking (CT) skills. The term "CT" denotes a set of cognitive processes that are useful for framing and solving problems using computers and other information processing agents. Acquisition of CT skills is traditionally associated with learning to code…

Broad exploration is often the best way to solve complex problems because the best solution might not come to mind first. Consequently, creative thinking, like simulated annealing, begins with a "hot" exploratory phase of broad solution search and gradually "cools" to exploitation and narrowing the search space. In solving…

Novice programmers need well-designed instruction and assessment informed by research and critical perspectives to conquer the historical challenges associated with completing introductory computer programming courses successfully. These issues include high dropout and failure rates, the struggle to acquire and retain basic programming knowledge,…

This study explores the challenges that elementary science educators face when teaching science in a time of crisis, as well as how to best provide elementary teachers with ongoing support for their science teaching during the novel COVID-19 pandemic. Using a phenomenological approach, this research focuses on elementary science teachers,…

Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming…

Information literacy describes expertise in information problem-solving. This expertise includes facility in several endeavors addressed by the information behavior literature, including information needs, seeking, and use. Definitions and descriptions of information literacy suggest that this expertise is broadly applicable to a variety of…

Systems thinking is the ability to see the big picture and the related elements when designing, and how these relationships form the big picture. In engineering design, systems thinking is valuable to both industry, as well as engineering education. As such, it creates opportunities for researchers to better understand systems thinking of both…

This dissertation examines two related questions. "How do mixed membership models work?" and "Can mixed membership be used to model how students use multiple strategies to solve problems?". Mixed membership models have been used in thousands of applications from text and image processing to genetic microarray analysis. Yet…

The optimal development of expertise is dependent on the application of a regimen of deliberate practice. A component of this practice is the development of critical thinking skills related to the solving of complex problems in ill-structured, naturalistic environments. The cognitive steps used to solve problems by experts is frequently not…