In the current educational context, school models that leverage technology to personalize instruction have proliferated, as has student enrollment in, and funding of, such school models. However, even the best laid plans are subject to challenges in design and practice, particularly in the dynamic context of a school. In this collective case study, we identify challenges, disruptions, and contradictions as they occur across schools engaged in implementing technology-mediated personalized learning. Using cultural historical activity theory—a theoretical framework concerned with the individual and contextual factors influencing school change—to frame the analysis, we also examine some of the structural and contextual sources of these disruptions and contradictions. Our findings enable us to offer recommendations for policymakers and for practitioners engaged in implementing personalized learning models, as well as directions for future research on this topic.

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For years, policy implementation scholars have recognized the trend of school improvement policies converging on public schools in such a way that these policies create a paradox – policies aimed at school improvement have often been represented as in such a state of incoherence, that they have been unmanageable. This convergence of reforms asks educators to manage multiple demands – learning and implementing new reforms and ways of teaching, while also leveraging current resources and capabilities. The concept of organizational ambidexterity captures this tension and complexity, giving a name to an organization’s ability to effectively balance conflicting pressures and to simultaneously take advantage of existing capabilities and explore possible innovative practices to increase both efficiency and efficacy. We argue that drawing on the research on organizational ambidexterity and conceptualizing new ways for schools to develop ambidextrous practices may be a critical step toward answering how schools manage environmental pressures and toward educational change.

This article outlines a five-phase process of qualitative analysis that draws on deductive (codes developed a priori) and inductive (codes developed in the course of the analysis) coding strategies, as well as guided memoing and analytic questioning, to support trustworthy qualitative studies. The five-phase process presented here can be used as a whole or in part to support researchers in planning, articulating, and executing systematic and transparent qualitative data analysis; developing an audit trail to ensure study dependability and trustworthiness; and/or fleshing out aspects of analysis processes associated with specific methodologies.

Testing and accountability measures have continued to expand since the passage of the No Child Left Behind Act in 2001. In addition to school and district accountability, student test scores increasingly formed the foundation of teacher performance metrics. State participation rates exceeded the 95% minimum prescribed by law despite increasing opposition to many testing requirements. However, the rollout of the Common Core aligned PARCC tests in 2015 marked the start of a backlash against state mandated testing. The movement, commonly called opt-out, encouraged families not to participate in required tests. We use pooled OLS regression on statewide panel data from Colorado schools to examine school-level characteristics in one of the states with the largest declines in test participation. We find the prevalence of opt-out is largest in charter schools, suburban and rural areas, higher performing schools, and schools with a higher proportion of White students.