This project team is developing and testing a prototype of the Teachley Analytics Library, a platform intended to host third party-developed mathematics game apps for students in kindergarten through Grade 8. The prototype will include a dashboard to host games and generate formative assessment data to inform teacher instruction. In the Phase I pilot study, the team will examine whether the prototype functions as planned with 40 Grade 1 and 2 math teachers. The study will test if teachers are able to implement games within the classroom and utilize data to inform practice, and whether students are engaged by gameplay.
The project team is developing and testing a prototype of a computer science game-based intervention intended for Grade 1 students. The prototype will include physical robots that will be designed and controlled on a game board by students through a blue-tooth enabled smartphone app. The product will include teacher resources and suggestions to facilitate classroom integration. In the Phase I pilot research with 5 classrooms and 150 students, the researchers will examine whether the prototype functions as planned, if teachers are able to implement it with small groups of students, and whether
Purpose: Purpose: This project team will fully develop and test Teachley Connect, a platform that syncs a variety of third-party math games to give elementary schools formative assessment data and intervention support. Mobile math games provide opportunities for students to access educationally-meaningful content in and out of the classroom and to supplement instruction. There are a number of examples of math apps that show promise for supporting and assessing student learning in different areas of mathematics, yet few apps in the marketplace provide meaningful data that teachers can use. Many games provide an overall score at the end of the session, but do not help teachers know what skills students are struggling with or how to provide additional support.
Project Activities: During Phase I, (completed in 2015), the team developed a prototype of Teachley Connect, which enables the secure transfer of game and learning data between third-party math games and the Teachley servers. At the end of Phase I, researchers completed a pilot study with 20 students and two teachers and demonstrated that the prototype operated as intended with important trends indicating that the system promotes student engagement and less time spent seeking help. In Phase II, the team will add additional third party math apps to the platform, strengthen the backend management system to tag user game-play data, and build out the teacher reporting dashboard to inform instruction and identify apps to address particular student and class needs. After development is complete, the research team will conduct a larger pilot study to assess the feasibility and usability, fidelity of implementation, and the promise of the Teachley Connect for teachers to use formative assessment data to inform classroom practice, select apps to address individual student needs, and support student math learning. The study will include 12 (grade K to 3) classrooms and randomly assign them into one of three groups: 1) apps only, 2) Teachley-enabled apps, or 3) Teachley-enabled apps + data. Researchers will compare pre-and-post scores of student's math learning, classroom observations, and teacher surveys/interviews.
Product: Teachley Connect will be a mobile tablet-based platform that uses games to give elementary schools rich formative assessment data and intervention support. Teachley Connect will permit students to continue playing exactly where they left off on any tablet. The platform will also connect apps into a single teacher dashboard, providing teachers detailed reports on student performance across games, with insights for informing individual or whole group instruction. The platform will include teacher resources to support the alignment of game play with learning goals and to support implementation.
With this Phase I funding, the project team will develop and test a prototype of the Toddler App and Cane which is intended to improve functional and adaptive school readiness skills for toddlers with visual impairments. The prototype will include a wearable hardware-based cane that wraps around a child's waist and provides tactile and audio cues to facilitate walking, a curriculum with game activities and walking routes, and an app that provides updates to special education practitioners and parents on their children's progress. In a pilot study with 10 toddlers with visual impairments, and their teachers and parents, the researchers will examine whether the prototype functions as planned, whether toddlers are engaged while using the prototype, and if teachers and parents believe the fully developed intervention will lead to increases in independence and school readiness.
Informal learning opportunities are increasingly being recognized as important for youth participation in authentic experiences at the intersection of science, technology, engineering, and math (STEM) (Dorsen, Carlson, and Goodyear 2006). These experiences may involve specialized equipment and dedicated time for learners to gain familiarity with the relevant scientific and engineering practices (i.e., designing experiments on their own, struggling to make sense of data, learning from their own mistakes and the results of peers), which often go beyond the classroom. However, the educators who
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TEAM MEMBERS:
Kathryn WilliamsonSue Ann HeatherlyVivian HoetteEva Erdosne TothDavid Beer
This editorial from the Connected Science Learning Journal celebrates the success of the journal's first issue. It also highlights the journal's switch to a serial format.
In the 1920s, John Dewey and Walter Lippmann both wrote important books examining whether the public was capable of playing a constructive role in policy, particularly when specialized knowledge was involved. This essay uses the Lippmann–Dewey debate to identify new challenges for science education and to explore the relationship between science education and science communication. It argues that science education can help foster democracy in ways that embody Habermas' ideal of the public sphere, but only if we as a field pay more attention to (1) the non-scientific frames and narratives that
Abstract
In 2011, Donna DiBartolomeo and Zachary Clark enrolled in the Arts in Education Program at Harvard Graduate School of Education. Harvard Graduate School of Education is home to Project Zero, an educational research group comprising multiple, independently funded projects examining creativity, ethics, understanding, and other aspects of learning and its processes. Under the guidance of Principal Investigator Howard Gardner and Project Manager Katie Davis, the authors were tasked with developing a methodology capable of observing finegrained, objective detail in complete works of
This award supports a conference that will inform the design of "backbone" organizations for the NSF INCLUDES (Inclusion across the Nation of Communities of Learners of Underrepresented Discoverers in Engineering and Science) program. NORC at the University of Chicago (an independent research institution that delivers reliable data and rigorous analyses to guide programmatic and policy decisions) and TERC (a nonprofit education research and development organization based in Cambridge, MA, dedicated to improving STEM learning for all) collaborate on Envisioning Impact, a two-part in-person and virtual event that will inform the design of INCLUDES Alliance and National Network backbone organizations.
The objectives of the conference are to: (1) facilitate a shared vision of impact for INCLUDES broadening participation projects and program; (2) stimulate discourse on key elements of a shared measurement system for continuous improvement and outcome assessment; and (3) inform decisions on the infrastructure and priority services INCLUDES backbone organizations will provide to assist grantees (and others) in assessing progress towards collective impact. The conference will bring members of three communities together: PIs and evaluators of INCLUDES Design and Development Launch Pilots; investigators and evaluators of other NSF-supported broadening participation alliances, extension projects, and other collective efforts to support inclusion and diversity in STEM; and members of prior and extant NSF-supported knowledge-networking, collaboratory, and resource network initiatives. Members of these communities will collaborate in two separate events: an in-person, 1.5 day conference, and a follow-on virtual Video Hall that will allow a larger number of participants to engage, over a one week period, in facilitated community discourse around short video narratives produced by each project.
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TEAM MEMBERS:
Kevin BrownSarah-Kathryn McDonaldJoni Falk
National Science Foundation (NSF) awarded an Informal Science Education (ISE) grant, since renamed Advancing Informal STEM Learning (AISL) to a group of institutions led by two of the University of California, Davis’s centers: the Tahoe Environmental Research Center (TERC) and the W.M. Keck Center for Active Visualization in Earth Sciences (KeckCAVES). Additional partner institutions were the ECHO Lake Aquarium and Science Center (ECHO), Lawrence Hall of Science (LHS) at the University of California, Berkeley, and Audience Viewpoints Consulting (AVC). The summative evaluation study was
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at the University of Colorado. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.
This is an Early-concept Grant for Exploratory Research supporting research in Smart and Connected Communities. The research supported by the award is collaborative with research at DePaul University. The researchers are studying the use of technologies to enable communities to connect youth and youth organizations to effectively support diverse learning pathways for all students. These communities, the youth, the youth organizations, formal and informal education organizations, and civic organizations form a learning ecology. The DePaul University researchers will design and implement a smart community infrastructure in the City of Chicago to track real-time student participation in community STEM activities and to develop mobile applications for both students and adults. The smart community infrastructure will bring together information from a variety of sources that affect students' participation in community activities. These include geographic information (e.g., where the student lives, where the activities take place, the student transportation options, the school the student attends), student related information (e.g., the education and experience background of the student, the economic status of the student, students' schedules), and activity information (e.g., location of activity, requirements for participation). The University of Colorado researchers will take the lead on analyzing these data in terms of a community learning ecologies framework and will explore computational approaches (i.e., recommender systems, visualizations of learning opportunities) to improve youth exploration and uptake of interests and programs. These smart technologies are then used to reduce the friction in the learning connection infrastructure (called L3 for informal, formal, and virtual learning) to enable the student to access opportunities for participation in STEM activities that are most feasible and most appropriate for the student. Such a flexible computational approach is needed to support the necessary diversity of potential recommendations: new interests for youth to explore; specific programs based on interests, friends' activities, or geographic accessibility; or programs needed to "level-up" (develop deeper skills) and complete skills to enhance youths' learning portfolios. Although this information was always available, it was never integrated so it could be used to serve the community of both learners and the providers and to provide measurable student learning and participation outcomes. The learning ecologies theoretical framework and supporting computational methods are a contribution to the state of the art in studying afterschool learning opportunities. While the concept of learning ecologies is not new, to date, no one has offered such a systematic and theoretically-grounded portfolio of measures for characterizing the health and resilience of STEM learning ecologies at multiple scales. The theoretical frameworks and concepts draw together multiple research and application domains: computer science, sociology of education, complexity science, and urban planning. The L3 Connects infrastructure itself represents an unprecedented opportunities for conducting "living lab" experiments to improve stakeholder experience of linking providers to a single network and linking youth to more expanded and varied opportunities. The University of Colorado team will employ three methods: mapping, modeling, and linking youth to STEM learning opportunities in school and out of school settings in a large urban city (Chicago). The recommender system will be embedded into youth and parent facing mobile apps, enabling the team to characterize the degree to which content-based, collaborative filtering, or constraint based recommendations influence youth actions. The project will result in two measurable outcomes of importance to key L3 stakeholder groups: a 10% increase in the number of providers (programs that are part of the infrastructure) in target neighborhoods and a 20% increase in the number of youth participating in programs.