This brief summarizes early evidence on the success of two tools Kentucky districts have used to support their teachers' transition to these more demanding goals: Literacy Design Collaborative (LDC) and Math Design Collaborative (MDC). With support from the Bill and Melinda Gates Foundation, LDC and MDC tools have been designed and implemented to embody the key shifts in teaching and learning that the new standards demand. By implementing the tools, teachers then engage in new pedagogy and address relevant learning goals of the Kentucky Core Academic Standards.

This brief summarizes early evidence on the success of two tools Kentucky districts have used to support their teachers' transition to these more demanding goals: Literacy Design Collaborative (LDC) and Math Design Collaborative (MDC). With support from the Bill and Melinda Gates Foundation, LDC and MDC tools have been designed and implemented to embody the key shifts in teaching and learning that the new standards demand. By implementing the tools, teachers then engage in new pedagogy and address relevant learning goals of the Kentucky Core Academic Standards.

This brief summarizes early evidence on the success of two tools Kentucky districts have used to support their teachers' transition to these more demanding goals: Literacy Design Collaborative (LDC) and Math Design Collaborative (MDC). With support from the Bill and Melinda Gates Foundation, LDC and MDC tools have been designed and implemented to embody the key shifts in teaching and learning that the new standards demand. By implementing the tools, teachers then engage in new pedagogy and address relevant learning goals of the Kentucky Core Academic Standards.

Afterschool programs are seen as a way to keep low-income children safe and to foster the skills needed to succeed in school and life. Many cities are creating afterschool systems to ensure that such programs are high-quality and widely available. One way to do so is to ensure afterschool systems develop and maintain a data system.This interim report presents early findings from a study of how afterschool systems build their capacity to understand and improve their practices through their data systems. It examines afterschool data systems in nine cities that are part of The Wallace Foundation's Next Generation Afterschool System-Building initiative, a multi-year effort to strengthen systems that support access to and participation in high-quality afterschool programs for low-income youth. The cities are Baltimore, Md., Denver, Colo., Fort Worth, Texas, Grand Rapids, Mich., Jacksonville, Fla.,Louisville, Ky., Nashville, Tenn., Philadelphia, Pa., and Saint Paul, Minn.To date, research on data use in afterschool systems has focused more on the implementation of technology than on what it takes to develop and sustain effective data use. This study found that the factors that either enabled or hampered the use of data in afterschool systems—such as norms and routines, partner relationships, leadership and coordination, and technical knowledge—had as much to do with the people and process components of the systems as with the technology.Strategies that appear to contribute to success include:

•     Starting small. A number of cities intentionally started with a limited set of goals for data collection and use, and/or a limited set of providers piloting a new data system, with plans to scale up gradually.

•     Ongoing training. Stakeholders learned that high staff turnover required ongoing introductory trainings to help new hires use management information systems and data. Providing coaching and developing manuals also helped to mitigate the effects of turnover and to further the development of more experienced and engaged staff.

•     Outside help. Systems varied in how they used the expertise of outside research partners. Some cities identified a research partner who participated in all phases of the development of their data systems. Others used the relationship primarily to help analyze and report data collected by providers. Still others did not engage external research partner, but identified internal staff to support the system. In any of these scenarios, dedicated staffers with skills in data analytics were key.

Afterschool programs are seen as a way to keep low-income children safe and to foster the skills needed to succeed in school and life. Many cities are creating afterschool systems to ensure that such programs are high-quality and widely available. One way to do so is to ensure afterschool systems develop and maintain a data system.This interim report presents early findings from a study of how afterschool systems build their capacity to understand and improve their practices through their data systems. It examines afterschool data systems in nine cities that are part of The Wallace Foundation’s Next Generation Afterschool System-Building initiative, a multi-year effort to strengthen systems that support access to and participation in high-quality afterschool programs for low-income youth. The cities are Baltimore, Md., Denver, Colo., Fort Worth, Texas, Grand Rapids, Mich., Jacksonville, Fla.,Louisville, Ky., Nashville, Tenn., Philadelphia, Pa., and Saint Paul, Minn.To date, research on data use in afterschool systems has focused more on the implementation of technology than on what it takes to develop and sustain effective data use. This study found that the factors that either enabled or hampered the use of data in afterschool systems—such as norms and routines, partner relationships, leadership and coordination, and technical knowledge—had as much to do with the people and process components of the systems as with the technology.Strategies that appear to contribute to success include:

•     Starting small. A number of cities intentionally started with a limited set of goals for data collection and use, and/or a limited set of providers piloting a new data system, with plans to scale up gradually.

•     Ongoing training. Stakeholders learned that high staff turnover required ongoing introductory trainings to help new hires use management information systems and data. Providing coaching and developing manuals also helped to mitigate the effects of turnover and to further the development of more experienced and engaged staff.

•     Outside help. Systems varied in how they used the expertise of outside research partners. Some cities identified a research partner who participated in all phases of the development of their data systems. Others used the relationship primarily to help analyze and report data collected by providers. Still others did not engage external research partner, but identified internal staff to support the system. In any of these scenarios, dedicated staffers with skills in data analytics were key.

Afterschool programs are seen as a way to keep low-income children safe and to foster the skills needed to succeed in school and life. Many cities are creating afterschool systems to ensure that such programs are high-quality and widely available. One way to do so is to ensure afterschool systems develop and maintain a data system.This interim report presents early findings from a study of how afterschool systems build their capacity to understand and improve their practices through their data systems. It examines afterschool data systems in nine cities that are part of The Wallace Foundation’s Next Generation Afterschool System-Building initiative, a multi-year effort to strengthen systems that support access to and participation in high-quality afterschool programs for low-income youth. The cities are Baltimore, Md., Denver, Colo., Fort Worth, Texas, Grand Rapids, Mich., Jacksonville, Fla.,Louisville, Ky., Nashville, Tenn., Philadelphia, Pa., and Saint Paul, Minn.To date, research on data use in afterschool systems has focused more on the implementation of technology than on what it takes to develop and sustain effective data use. This study found that the factors that either enabled or hampered the use of data in afterschool systems—such as norms and routines, partner relationships, leadership and coordination, and technical knowledge—had as much to do with the people and process components of the systems as with the technology.Strategies that appear to contribute to success include:

•     Starting small. A number of cities intentionally started with a limited set of goals for data collection and use, and/or a limited set of providers piloting a new data system, with plans to scale up gradually.

•     Ongoing training. Stakeholders learned that high staff turnover required ongoing introductory trainings to help new hires use management information systems and data. Providing coaching and developing manuals also helped to mitigate the effects of turnover and to further the development of more experienced and engaged staff.

•     Outside help. Systems varied in how they used the expertise of outside research partners. Some cities identified a research partner who participated in all phases of the development of their data systems. Others used the relationship primarily to help analyze and report data collected by providers. Still others did not engage external research partner, but identified internal staff to support the system. In any of these scenarios, dedicated staffers with skills in data analytics were key.

This report focuses on an emerging trend in higher education called student philanthropy, an experiential learning approach where students study social issues in the community and make decisions about distributing funds to nonprofit organizations. Previous research in the field of student philanthropy has revealed promising results: those enrolled in student philanthropy courses have shown a greater awareness of social problems and nonprofits, a heightened sense of responsibility to help others in need, and a greater likelihood to give their time and money in the future to support their community. However, little is known about the ways previous philanthropy experiences of students and components of student philanthropy courses may explain these outcomes.

This report examines students enrolled in student philanthropy courses through Pay it Forward, an initiative of the Kentucky, Michigan, and Ohio Campus Compacts that seeks to develop a new generation of philanthropists through infusing the practice of philanthropy as a core component of college coursework. This report asks three key questions about the Pay it Forward course:

• What are the prior philanthropic experiences of Pay it Forward participants?
• What features of a Pay it Forward course predict student confidence in their philanthropic skills, abilities, and knowledge?
• What aspects of a Pay it Forward course predict changes in students' plans to donate money to, volunteer in, and otherwise support their communities?