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M. Coenraad; M. Hodge; P. Ruiz; K. Mills; Q. Burke – Digital Promise, 2021
This interview protocol includes five steps to conduct an empathy interview. In the Empathize Phase of designing an inclusive computing pathway, empathy interviews are conducted. Empathy interviews allow you to hear the stories and experiences of someone who will use what you are designing and learn about their realities, in this case, a student.…
Descriptors: Interviews, Questioning Techniques, Empathy, Design
Alexandra Merritt Johnson; Sherenna Bates; Kimberly Smith – Digital Promise, 2023
The academic success of historically and systematically excluded (HSE) students, including Black, Brown, Indigenous, low-income, multilingual learners, and students with learning differences, remains impacted by social position and identity factors. Despite numerous education reform efforts, equity in education continues to be a pressing challenge…
Descriptors: Equal Education, School Districts, Achievement Gap, Educational Cooperation
Kimberly Smith; Viki M. Young – Digital Promise, 2024
Across the country, district-community teams are tackling pressing and complex educational challenges with Inclusive Innovation, an education R&D model that starts with centering the needs of those most impacted by these challenges. This paper shares the stories, solutions, outcomes, and learnings from years of deep collaboration in the words…
Descriptors: Inclusion, Educational Innovation, Research and Development, School Districts
Latia P. White; Alexandra Merritt Johnson – Digital Promise, 2024
This report examines the implementation of the Inclusive Innovation model across various pilot districts, spotlighting the collaborative processes of co-research and co-design involving students, educators, administrators, and community members. By centering the voices of students and communities who typically are furthest from opportunity,…
Descriptors: School Districts, Community Involvement, School Community Relationship, Community Influence
Lauren Hickman McMahon; Stefani Pautz Stephenson; Seth Corrigan – Digital Promise, 2024
In this report, we share insights from a Research-Practice-Industry Partnership (RPIP) that explored mathematics instructional practices with support of digital mathematics tools. RPIPs bring together researchers, practitioners, and product developers, with each party having an equal voice, in a rapid-cycle model for edtech research and…
Descriptors: Mathematics Instruction, Inclusion, Mathematics Education, Educational Technology
Page, Kelly; Merritt Johnson, Alexandra; Franklin, Kristen; Carter, Bria; Galindo, Marilys; Solorzano, Teresa; Lee, Sangyeon; Shah, Zohal – Digital Promise, 2023
With the emergence of digital credentialing and platforms to support learners and workers with entering and traversing the increasingly skill-based education and workforce ecosystem, Learning and Employment Record (LER) technologies have been identified as a promising solution for individuals to share and access their learning- and skills-data and…
Descriptors: Information Technology, Credentials, Information Storage, Personnel Data
C. Iloh – Digital Promise, 2024
For the past three years, Digital Promise has embarked on an expansive and human-centered endeavor to empower school districts to cultivate context-relevant solutions to the teacher of color workforce disparities. Through Digital Promise's Inclusive Innovation approach, teachers of color from various school districts were engaged to develop and…
Descriptors: Teacher Recruitment, Teacher Persistence, Diversity (Faculty), Minority Group Teachers
Jeremy Roschelle; Judi Fusco; Pati Ruiz – Digital Promise, 2024
As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states--California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia--on how to approach artificial intelligence (AI) in education. Throughout this report the authors summarize the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Employment Qualifications, Responsibility
Bland, Jennifer; Smith, Kimberly – Digital Promise, 2023
This report profiles five public PreK-12 learning education agencies across the U.S. that participated in the Digital Promise Center for Inclusive Innovation Teacher of Color Recruitment and Retention cohort and utilized the Inclusive Innovation model to create and launch locally contextualized programs designed by teachers of color.
Descriptors: Teacher Recruitment, Teacher Persistence, Minority Group Teachers, Preschool Education
Malliron Hodge; Zohal Shah; Marika Patterson; Christina Luke Luna – Digital Promise, 2023
This report represents another installment in our Learning and Employment Records (LERs) series, where we explored the unique challenges and opportunities that learners encounter when familiarizing themselves with LER technology. As the paradigm shifts towards skills-based hiring and career advancement gains momentum, it becomes imperative for…
Descriptors: Adult Learning, Information Storage, Records (Forms), Electronic Publishing
Cacicio, Sarah; Tinsley, Brian; Miller, Antionette; Luke Luna, Christina – Digital Promise, 2022
Learning and Employment Records (LERs) require careful, deliberate design to ensure that workers benefit from their adoption and use. If designed without the inclusion of individuals who are most marginalized in the workforce, LERs could reproduce existing inequities in the talent pipeline. Digital Promise collaborated with workers in frontline…
Descriptors: Information Technology, Credentials, Information Storage, Influence of Technology
Mills, Kelly; Coenraad, Merijke; Ruiz, Pati; Burke, Quinn; Weisgrau, Josh – Digital Promise, 2021
Technology is becoming more integral across professional fields and within our daily lives, especially since the onset of the pandemic. As such, opportunities to learn computational thinking are important to all students--not only the ones who will eventually study computer science or enter the information technology industry. However, large…
Descriptors: Cognitive Processes, Computation, Computer Science Education, Equal Education
Digital Promise, 2019
Among public school teachers, parents, and all adults alike, at least eight in 10 recognize that students vary in how they learn, say schools should address learner variability, and favor tailored instruction--an approach designed to address learner variability--over conventional whole group instruction. Yet nine in 10 teachers, about eight in 10…
Descriptors: Educational Attitudes, Public Opinion, Parent Attitudes, Teacher Attitudes
Angevine, Colin; Cator, Karen; Liberman, Babe; Smith, Kim; Young, Viki – Digital Promise, 2019
Under the current model of education research and development (R&D), solutions to the pressing challenges facing schools and districts across the country often fail to meet the needs of those who need them most: historically marginalized populations such as Black and Latinx students and students living in poverty. To address this problem,…
Descriptors: Inclusion, At Risk Students, Equal Education, Research and Development