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Developing and Assessing Authentic Problem-Solving Skills in High School Pre-Engineering Students

Conference Session
Best Practices in Research & Assessment Tools for Pre-College Engineering Education
Collection
2019 ASEE Annual Conference & Exposition
Authors
Susheela Shanta, Governor's STEM Academy @ the Burton Center for Arts and Technology - Center for Engineering
Tagged Divisions
Pre-College Engineering Education
. Additionally, the curriculum that supports the horizontally andvertically integrated STEM educational approach will be described in light of the positive resultsof this research. The specific pre-engineering program design in a mid-Atlantic-region schooland the methods of assessment may benefit other educators develop high school pre-engineeringprograms and develop instructional objectives to support students in developing authenticproblem-solving skills. Such programs may help better prepare students to orient themselves forpost-secondary engineering education and careers.BackgroundThe shortfall in the intended outcomes for students’ achievement of the implied higher orderthinking skills, characterized by one of the five C’s of the 21st century
Relevance Score: 0.035823308

The Pencil-Top Fidget: Reinventing Shop (Metal Drilling and Tapping) in High School Science Classrooms

Conference Session
Engineering Design Process Activities with Secondary Students
Collection
2019 ASEE Annual Conference & Exposition
Authors
Matthew J. Traum, Engineer Inc.; Sharon Liz Karackattu, Oak Hall School
Tagged Divisions
Pre-College Engineering Education
Relevance Score: 0.021109086

Kindergartners Planning in the Design Process: Drawn Plans and how they Relate to First Try Design Attempts (Fundamental)

Conference Session
Engineering Design for Elementary Students
Collection
2019 ASEE Annual Conference & Exposition
Authors
Pamela S. Lottero-Perdue Ph.D., Towson University; Ming C. Tomayko, Towson University
Tagged Divisions
Pre-College Engineering Education
. Rubric developmentand use represented our attempt to quantify our answers to the research questions and explorationof relationships among variables. In what follows, we explain our participant selection process,context for the study, the interviews we conducted, and our data analysis process.Project Participants Participants came from five classrooms in three schools in a school system in the mid-Atlantic area and were in the second half of their kindergarten year at the time of the study inspring 2018. Blakely Elementary is in a rural part of the county (one classroom); AdamsvilleElementary is a Title I school in an urban area (two classrooms); and Kellerton Elementary is ina middle-class suburban area (two classrooms); all school names
Relevance Score: 0.021109086