This project will host a workshop in order to identify and synthesize research findings from NSF awards that addressed the unanticipated effects of the COVID-19 pandemic on STEM teaching and learning. The interruptions from the pandemic had dramatic, widespread effects in education. Across the
The Morehouse College's Innovative Science, Technology, Engineering, and Mathematics Work Force Development Project will engage minority male students in an active, inclusive learning community to enhance their interest in science and mathematics education and careers. The objective of the project
This project will advance efforts to better understand and promote practices that broaden access to and interest in regionally relevant science, technology, engineering, and math (STEM) occupations for underrepresented youth in the state of Maine. This project will engage students in investigations
Across the nation, teachers have shifted to delivering instruction remotely due to COVID-19. This transition to remote instruction has presented challenges for secondary science teachers who previously engaged their students in hands-on learning through empirical tests and observations of real-world
For the SciGirls Strategies supplemental activity, ten educators were trained to be SciGirls Strategies trainers during June 2019 (see the Training Evaluation Report). During that time, they developedaction plans for their local teacher training. The goal was for each Trainer to train ten or moreteachers in their local schools/districts. Trainers could plan and schedule their workshops to fittheir local context in order to accomplish the objectives of building teacher’s confidence andskills in using gender equitable and culturally responsive teaching strategies. After the trainingworkshop, the
The Enhancing Engagement and Conceptual Understanding of Fractions for Students with Learning Disabilities using the Model Mathematics Education Curriculum is a Developing and Testing Innovations (DTI) project in the Innovative Technology Experiences for Students and Teachers (ITEST) program. This
The Student’s Spatial Learning Attitudes (SLA) instrument is valid and reliable instrument designed for secondary students to share their ideas about spatial learning that involves using maps and technologies (e.g., mobile devices and computers that use map-based imagery) for learning. The instrument underwent a validation process with experts in the STEM education and the geospatial technology teaching and learning field. Further, to ensure that the items were comprehensible for English language learners, the items were reviewed by an educator with expertise with teaching English learners
The Student Interest in Science, Technology and Geospatial Technology (STEM-GEO) instrument is valid and reliable instrument designed to measure secondary students’ STEM-related learning interest, interest in using technology to learn science, STEM-related career interests, and attitudes about geospatial technology. The instrument underwent a validation process with experts in the STEM education and the geospatial technology teaching and learning field. Further, to ensure that the items were comprehensible for English language learners, the items were reviewed by an educator with expertise
This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase student motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by
Mobile geospatial technologies enable high school students to engage in authentic scientific data collection and analysis that promote spatial-thinking and reasoning skills, as well as problem-solving in a school’s local environment. We developed and implemented an Ecological Services investigation aligned to the Next Generation Science Standards in an urban high school with a large population of economically disadvantaged students. The investigation includes local field data collection with mobile devices and classroom data analysis using a freely available Web Geographic Information System