Simple Systems ModelingFree, web-based, and open-source software to engage students in systems thinking through designing, building, and revising models. An easy to use drag-and-drop tool for basic diagramming of the structure of a system or creation of static equilibrium or time-based dynamic models.
In this survey you will be asked to answer a series of questions related to artificial intelligence (AI). The purpose of these questions is to capture your pre-existing ideas about AI and AI concept knowledge before you start the Everyday AI program. So it’s totally OK if you are unsure of a lot of your answers - Just make your best guesses! We will not grade your answers. This survey data will be used to help us figure out what you have learned through this program (between the start and end of the program) so that we can make the program better!For for information, please contact Irene Lee
This article outlines the construction and validation of the Goal Orientation and Learning Strategies Survey (GOALS-S). This 84-item survey was designed to measure students’ motivational goal orientations and their cognitive and metacognitive strategies. Results of first-order confirmatory factor analyses (CFAs) supported the factorial validity of the GOALS-S scales measuring students’ goals and strategies (with goodness-of-fit indices in post-hoc models ranging from .908 to .981). In addition, higher order CFAs (HCFAs) support hierarchical structure of the GOALS-S scales (with goodness-of-fit
Sharks have ruled the Earth’s oceans for 400 million years, leaving behind a widespread fossil record. Inspired by the extinct 65-foot-long predator Megalodon, fossil shark teeth can spark student interest and curiosity in STEM (Science, Technology, Engineering, and Mathematics). Machine Learning
This Developing and Testing Innovations project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students' knowledge and interest in science, technology, engineering, and mathematics (STEM
This project responds to the growing recognition that learners of all ages should have the opportunity to engage with and learn about artificial intelligence (AI). Of AI's many subfields, natural language processing (NLP) is one of the fastest growing. NLP focuses on how to automatically understand
Exciting young children's interest in science, technology, engineering, and mathematics (STEM) is an essential way to attract more students to STEM course work and STEM careers. This project will use a variety of tools to engage four- to eight-year-old children and their families. First, the project
Advances in artificial intelligence (AI) are fundamentally reshaping the workplace of the future and accelerating the demand for creating and sustaining an AI-literate workforce. This growing demand has highlighted the importance for all K-12 students to develop an understanding of AI to prepare
The project will introduce and investigate an innovative model for using authentic community-relevant research to deepen students' STEM knowledge and skills, while building strong community connections between Maine's coastal school districts and their communities. The project will involve teachers
This project will develop upper elementary school students’ abilities to work with Artificial intelligence (AI) in future careers. AI will be a critical tool for influencing and increasing productivity in the future of work. As such, it is increasingly important to introduce K-12 students to basic