Scratch Encore: The Design and Pilot of a Culturally-Relevant Intermediate Scratch Curriculum

Publication

While several introductory computer science curricula exist for children in K-8, there are few options that go beyond sequence, loops, and basic conditionals. The goal of this project is to not only fill this gap with a high-quality curriculum supported by complete instructional materials, but to also do so with an equity-balanced curriculum. That is, a curriculum that values advancing equity equally with student learning outcomes. In this paper, we intro- duce barriers to equity in public school classrooms, pedagogical approaches to culturally-relevant curricula, and how our Scratch Encore

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Exploring Artificial Intelligence in English Language Arts with StoryQ

Curricular Materials

Narrative Modeling with StoryQ Artificial intelligence (AI) is reshaping society, and AI will almost certainly be among the most dominant factors in the coming decades. While not every student needs to become an AI scientist or engineer, almost everyone will enter a workforce powered and transformed by AI technologies. Preparing youth to enter and engage with an AI-filled future is one of our most critical challenges. Introduction to Artificial Intelligence How to Model Natural Languages? How Do Humans Classify Text? Machine Learning with Alien Language Sentiment Analysis Features & Models All

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Family Engineering Kits

Curricular Materials
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About the Collaborative Project Our goal is to develop, implement, and refine a program for integrating engineering design practices with an emphasis on emerging technologies and utilization of recyclable materials into home environments of families. There are currently two components of this project – engineering kits that can be completed in any environment, particularly in home environments, and the identification and development of distinct, personal engineering projects. Examples of the Personal Projects “My project was meant to help people in third world countries or people who can’t

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AOLME Level 1 Curriculum

Curricular Materials
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Expand Latinx Learners’ Authentic Experiences in Computer Programming The curriculum was designed for and renovated through the participation and feedback of middle school students. It integrates basics of Computer Programming and Mathematics concepts and activities needed to represent digital video and color images. It draws on the almost natural motivation of users, middle school students, with digital image and video. The curriculum contains two Levels. Level-1 introduces the concepts of image and video representations. Level-2 takes these basic concepts to a next step by introducing object

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Rock ‘n’ Soul Plane (Grades 5-8)

Curricular Materials
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Essential Question: How can I increase students’ knowledge of mathematics, music, and STEM careers by using music and/or poetry as the context for learning? Learning Objectives: Students will be able to develop listening, reading, and comprehension skills by hearing and reading stories about the history of music in Memphis and learning about famous musicians. Students will learn mathematics by examining rhythms and beats in various genres of music. Students will learn mathematics through music by writing their own song, rap, or poem and using an app to set it to music.

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Computational Thinking Classroom Resources: CT-Integrated Storyline Units

Curricular Materials

Programmable Sensor Integrated Storyline Units 3D prosthetics 3D Printing Storyline Unit Teachers working on sensor immersion All Available SchoolWide Labs Curricula The SchoolWide Lab middle school curriculum units are anchored in phenomena, aligned to the Next Generation Science Standards(NGSS) and purposefully integrate Computational Thinking (CT). To date, four units have been developed by a team of researchers from the University of Colorado Boulder in collaboration with middle school teachers from Denver Public Schools. The teachers also piloted the units and have taken part in the

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The development and validation of the goal orientation and learning strategies survey (goals-s)

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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

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