The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by designing and building new kinds of learning technologies and studying their possibilities for fostering learning and challenges to using them effectively. This project brings together two approaches to help K-12 students learn programming and computer science: open-ended learning environments, and computer-based learning analytics, to help create a setting where youth can get help and scaffolding tailored to what they know about programming without having to take tests or participate in rigid textbook exercises for the system to know what they know.
The project proposes to use techniques from educational data mining and learning analytics to process student data in the Alice programming environment. Building on the assessment design model of Evidence-Centered Design, student log data will be used to construct a model of individual students' computational thinking practices, aligned with emerging standards including NGSS and research on assessment of computational thinking. Initially, the system will be developed based on an existing corpus of pair-programming log data from approximately 600 students, triangulating with manually-coded performance assessments of programming through game design exercises. In the second phase of the work, curricula and professional development will be created to allow the system to be tested with underrepresented girls at Stanford's CS summer workshops and with students from diverse high schools implementing the Exploring Computer Science curriculum. Direct observation and interviews will be used to improve the model. Research will address how learners enact computational thinking practices in building computational artifacts, what patters of behavior serve as evidence of learning CT practices, and how to better design constructionist programming environments so that personalized learner scaffolding can be provided. By aligning with a popular programming environment (Alice) and a widely-used computer science curriculum (Exploring Computer Science), the project can have broad impact on computer science education; software developed will be released under a BSD-style license so others can build on it.
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TEAM MEMBERS:
Shuchi GroverMarie BienkowskiJohn Stamper
This is a Science Learning+ planning project that will develop a plan for how to conduct a longitudinal study using existing data sources that can link participation in science-focused programming in out-of-school settings with long-range outcomes. The data for this project will ultimately come from "mining" existing data sets routinely collected by out-of-school programs in both the US and UK. 4H is the initial out-of-school provider that will participate in the project, but the project will ideally expand to include other youth-based programs, such as Girls Inc. and YMCA. During the planning grant period, the project will develop a plan for a longitudinal research study by examining informal science-related factors and outcomes including: (a) range of educational outcomes, (b) diversity and structure of learning activities, (c) links to formal education experiences and achievement measures, and (d) structure of existing informal science program data collection infrastructure. The planning period will not involve actual mining of existing data sets, but will explore the logistics regarding data collection across different informal science program, including potential metadata sets and instruments that will: (a) identify and examine data collection challenges, (b) explore the implementation of a common data management system, (c) identify informal science programs that are potential candidates for this study, (d) compare and contrast data available from the different programs and groups, and (e) optimize database management.
The Saint Louis Science Center (SLSC) project Bridging Earth and Mars (BEAM) will engage the general public and children from schools and community groups with the National Aeronautical and Space Administration’s (NASA’s) exploration of Mars through exhibits simulating control of robotic rovers on the surface of Mars as well as related educational programming. This front-end evaluation for BEAM youth programs provides information to the BEAM project team about the levels of knowledge, attitudes, and skills among low-income and minority young people who are part of the field trip workshop
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TEAM MEMBERS:
Saint Louis Science CenterCarey Tisdal
Our role as external evaluators is to provide Maker Ed and its stakeholders with an outside perspective on two questions. First: How does Maker Corps impact the MCMs and Host Sites that participate and the audiences they serve? Second: In what ways can the Maker Corps program improve to better serve these participants and their audiences? This report is an executive summary of our full report, in which we present a complete summary of the findings from surveys, interviews, and case studies during the 2014 Maker Corps program.
Maker Corps increases the capacity of youth-serving organizations nationwide to engage youth and families in making. Diverse Maker Corps Members expand the current network of makers, mentors, and community leaders poised to lead creative experiences for youth. (http://makered.org/makercorps/) In this report of Maker Corps' second year, we address the following questions: 1. How does Maker Corps impact the Maker Corps Members, participating Host Sites, and the audiences they serve? 2. In what ways can the Maker Corps program improve to better serve these participants and their audiences? We