Personalizing Instruction: Student Voice and Choice. Connect: Making Learning Personal
2016
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Abstract
This field report is the eighth in a series produced by the Center on Innovations in Learning's League of Innovators. The series describes, discusses, and analyzes policies and practices that enable personalization in education. Issues of the series will present either issue briefs or, like this one, field reports on lessons learned by practitioners recounting the successes and obstacles to success encountered in implementing personalized learning. Neither the issue briefs nor the field reports attempt to present in-depth reviews of the research; for those resources readers are encouraged to access the Center on Innovations in Learning's resource database. Topics should be of particular interest to state education agencies and district and school personnel.
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http://www.collaborativeri.org/research/advancing-a-shared-understanding-of-personalized-learning-insights-from-eight-middle-school-classrooms-in-rhode-island, 2018
The purpose of the present study was to provide empirical data that helps to characterize current teaching and learning practices in eight RI middle school classrooms. Each teacher self-identified as implementing personalized learning practices through either the Summit Learning (SL) platform (four teachers) or other versions of Blended Learning (BL) practices (four teachers) for at least two years. More specifically, we sought to understand and describe each teacher’s current practices and perceptions (as well as their students’ perceptions of teacher practices) in order to advance our understanding of the definitions and unique attributes of personalized learning practices in Rhode Island. After reporting our methods and findings, we discuss six key ideas worthy of more discussion and consideration in how PL is defined and implemented in Rhode Island, and we provide recommendations and outline future questions to understand successful personalized learning practices, and ultimately, their impact on student learning and development.
2015
Anderson High School is a large school in an urban community with a challenging academic program. Its personalized learning initiative is designed to support student success in the program, located in a lab that features computer-adaptive learning tools and regular consultation with faculty and peers. Approximately 50% of Anderson students participate in the personalized learning program. Balsam High School is an arts-based charter school-within-a-school located in a suburban high school. Students work with teachers to design classes and develop proficiency-based learning programs in the school's learning management system. Balsam students are expected to develop senior projects that involve inquiry, social engagement and learning technology in a public performance space. Carson Middle School is a small school-within-a-school set in a traditional suburban middle school. The three Carson faculty members work with students to develop personalized learning 1 IPL provides workshops and guidance to schools about how to create personalized learning environments around a set of design principles organized in a honeycomb model. The model describes strategies for educators to build personalized learning around collaboratively designed learner profiles, learning paths, and proficiency-based progress measures. (http://www.cesa1.k12.wi.us/institute/designdevelop/personalized-learning.cfm)
2015
The Bill & Melinda Gates Foundation has engaged RAND to carry out an ongoing study of foundation-funded schools that are employing promising approaches to personalized learning. This research is part of the foundation's public commitment to spread effective practices across districts and charter networks, develop innovative roles for teachers, and support implementation of college-ready standards. This is the second report in a series focused on the achievement data, school design characteristics, and teacher and student perceptions of schools that are implementing personalized learning. The achievement findings in this report focus on 62 public charter and district schools that are pursuing a variety of personalized learning practices. In a smaller set of 32 schools, the report examines details of personalized learning implementation and the relationship of implementation to outcomes.
2015
The Bill & Melinda Gates Foundation has engaged RAND to carry out an ongoing study of foundation-funded schools that are employing promising approaches to personalized learning. This research is part of the foundation's public commitment to spread effective practices across districts and charter networks, develop innovative roles for teachers, and support implementation of college-ready standards. This is the second report in a series focused on the achievement data, school design characteristics, and teacher and student perceptions of schools that are implementing personalized learning. The achievement findings in this report focus on 62 public charter and district schools that are pursuing a variety of personalized learning practices. In a smaller set of 32 schools, the report examines details of personalized learning implementation and the relationship of implementation to outcomes.
2018
With support from the Bill & Melinda Gates Foundation, CRPE conducted a multiyear, multimethod effort to learn how school districts, charter schools, and regional partners can support the successful implementation, expansion, and sustainability of personalized learning (PL) in schools. The vision for PL is to tailor instruction to individual students' strengths, needs, and personal interests-often integrating technology-to boost student outcomes. CRPE researchers used a combination of field studies, surveys, and secondary data analysis to explore how schools, districts, and partner organizations help to seed and grow PL, and what the results were. Key questions for the project included: What do principals, teachers, and system leaders need to know and be able to do to successfully support, implement, and scale up PL? What policies and practices-at the classroom, school, district, partnership, and state levels-offered important supports (and barriers) for successfully implementing and scaling up PL? What were the early results for teachers and students? See our full, interactive report for detailed findings and recommendations, video interviews, and student projects. We thank the Bill & Melinda Gates Foundation for their support of this work. The views expressed in this report are the authors' alone and do not necessarily represent the opinions of the Foundation. We would also like to thank the careful reviews and feedback we received from Elizabeth Steiner, Andy Calkins, and Susan Patrick, as well as CRPE director Robin Lake and CRPE Founder Paul Hill, who provided valuable feedback and support throughout the study. Finally, and most importantly, we thank the leaders and teachers who participated in the study. By sharing their strategies and experiences with us, these busy educators helped the field learn a great deal about what it takes to do the hard work of innovating in schools. Without their openness, energy, and ongoing feedback, this project would not have been possible. About the Center on Reinventing Public Education CRPE is a nonpartisan research and policy analysis center at the University of Washington Bothell. We develop, test, and support bold, evidence-based, systemwide solutions to address the most urgent problems in K-12 public education across the country. Our mission is to reinvent the education delivery model, in partnership with education leaders, to prepare all American students to solve tomorrow's challenges. Since 1993 CRPE's research, analysis, and insights have informed public debates and innovative policies that enable schools to thrive. Our work is supported by multiple foundations, contracts, and the U.S Department of Education.
This chapter explores the complex nexus between learning design and practice, simply. Much as architects today reconsider ways to conceptualize airports for the information age traveler, educators must reconsider how we create learning architectures that support the personalization of learning in the same information age. Modern, happy travelers today depend on a (personalized) mix of hotel, flight, weather, traffic, rental, food and entertainment data and tools, and learners in school systems are similarly wrapped up in a complex set of information and tools. How do we design meaningful learning in such a setting? We’ve done a spotty job of it so far, some say – trying to play catch-up with the technologies or tools for learning (Heinich, Molenda & Russell, 1999) or by using industrial age thinking focusing on autocratic decision making and centralized control of both design for learning and for instruction itself (Reigeluth, 2002). With this background and literature collected for the Alberta School Improvement Initiative (Kowch, 2005c), the author puts technology tools in the background here so as to allow a higher order classification of learning “instructional” design and teaching methods – to outline trends in both teaching and learning design that are directly suited to a more personalized learning environment. To teach in a continuously improving school, we must know and use existing and new teaching strategies that make a difference. This chapter offers such a guide and some content for such praxis. It is said that the primary role of education is to “increase student capacity for personal growth, social growth and academic learning” and that this is accomplished primarily by good teaching practices (sometimes called “methods” or “instructional methodologies”) that form the core of a part of today’s professionally created, successful learning environments in schools (Joyce, Weil & Calhoun, 2004, p. v).
2019
Personalized learning programs are proliferating in schools across the United States, fueled by philanthropic dollars, tech industry lobbying, marketing by third-party vendors anxious to enter the K-12 education market, and a policy environment that provides little guidance and few constraints. This brief examines the promise and limitations of personalized learning by reviewing its history, identifying its key assumptions, assessing the roles and possible impacts of the digital technologies it deploys, and reviewing relevant research evidence. Familiarity with these factors will maximize policymakers’ ability to craft appropriate guidelines for personalized learning initiatives and will help educators critically evaluate personalized learning products being marketed to them.