ABSTRACT This cross-case study of building and district administrators was designed to describe and explain the experience of elementary school administrators implementing a Problem-Solving Team (PST), the core feature of a Multi-Tiered System of Supports (MTSS) framework. The Multi-Tiered System of Support Problem-Solving Team (MTSS-PST) organizes the review of student learning data to identify problems, apply solutions, and evaluate progress towards grade level learning outcomes (Cook, Burns, Browning-Wright, & Gresham, 2010; Eagle et al., 2015; Gamm et al., 2012; Tilly, 2008). Outside of the MTSS framework, the PST is recognized as a best practice approach to identifying and implementing academic and social emotional interventions to improve learning outcomes (Algozzine et al., 2014; Burns & Symington, 2002; Doll et al., 2005; Shinn, 2005). Contemporary policy implementation research frames MTSS-PST as complex educational policy whose implementation is contingent upon, and situated by, interactions between the people implementing it, the policy itself, and the place where implementation occurs (Honig, 2006). There is little research, however, on MTSS-PST implementation. This study was designed to add to scholarly understanding of the MTSS-PST implementation process by examining how and why school building-level administrators were thinking about and planning for it. Analysis of the data revealed the following: (a) MTSS-PST implementation is understood by building-level administrators as an essential component in fulfilling the school district’s K-12 directive to reduce special education referrals with a Multi-Tiered System of Support framework; (b) Building-level administrative thinking and planning for MTSS-PST implementation is focused on reorganizing and improving how the school’s support team sorts students for support services; (c) Building administrator’s implementation decision-making is influenced by the simultaneous feeling of relief and burden brought on by the early success of implementation and the significant challenges it faces due to limited planning and resources. Analysis also showed that implementation is rooted in a transactional approach to change focused entirely on meeting districtwide objectives to increase the efficiency and efficacy of the school’s teaching and learning services with no reference to the transformative potential cited in the research literature. Lastly, analysis of the findings revealed that more than 70 different interactions that occurred between people, policy, and place shaped the MTSS-PST implementation process demonstrating that implementation of this policy is both situated and contextual.

Thesis (Ph. D.)--University of California, Riverside, 2009. / Includes abstract. Includes bibliographical references (leaves 42-47). Issued in print and online. Available via ProQuest Digital Dissertations.

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Response to Intervention (RTI) is a multi-tiered framework that focuses on the early identification and support of students who are struggling to learn. In the problem-solving model of RTI, where a multidisciplinary team uses data to drive decision making, much remains unknown about how RTI should be implemented when struggling English language learners (ELLs) are the focus of team deliberations. The development of the multidisciplinary problem-solving team (PST) is grounded in the assumption that professionals from different disciplines such as school psychology, special education, and counseling would make less biased decisions than a single individual. However, a group of professionals may still make biased decisions based on stereotypes of ethnicity (Orosco, 2010), social class (Knotek, 2003), and inadequate knowledge of second language acquisition and bilingualism (Orosco, 2010). Not much is known about the process of team decision-making; in fact, no research to-date has examined how a PST deliberates about struggling ELLs. A qualitative case study approach was utilized to investigate how one school’s multidisciplinary problem-solving team used data in their deliberations about struggling ELLs in early primary grades. Ten members of a PST at an elementary school in an urban area of Texas participated in this study; seven ELLs were the focus of the observed team meetings. Data were generated from the discourse of the team meetings, interviews, and school documents, including students’ cumulative folders and language proficiency assessment records. Data were analyzed using discourse analysis, content analysis, and pattern-matching logic. Findings revealed that the Tier 3 problem-solving process was not aligned with the district’s expressed intent. In addition, a hierarchy of control constrained the problem-solving process and restricted the PST’s ability to freely discuss the cases of struggling ELLs. Implications for implementing RTI with ELLs and suggestions for future research are presented. / text

This dissertation contributes an enhanced understanding of team cognition, in general, and collaborative problem solving (CPS), specifically, through an integration of methods that measure team interaction dynamics and knowledge building as it occurs during a complex CPS task. The need for better understanding CPS has risen in prominence as many organizations have increasingly worked to address complex problems requiring the combination of diverse sets of individual expertise to achieve solutions for novel problems. Towards this end, the present research drew from theoretical and empirical work on Macrocognition in Teams that describes the knowledge coordination arising from team communications during CPS. It built from this by incorporating the study of team interaction during complex collaborative cognition. Interaction between team members in such contexts has proven to be inherently dynamic and exhibiting nonlinear patterns not accounted for by extant research methods. To redress this gap, the present research drew from work in cognitive science designed to study social and team interaction as a nonlinear dynamical system. CPS was examined by studying knowledge building and interaction processes of 43 dyads working on NASA's Moonbase Alpha simulation, a CPS task. Both non-verbal and verbal interaction dynamics were examined. Specifically, frame-differencing, an automated video analysis technique, was used to capture the bodily movements of participants and content coding was applied to the teams' communications to characterize their CPS processes. A combination of linear (i.e., multiple regression, t-test, and time-lagged cross-correlation analysis), as well as nonlinear analytic techniques (i.e., recurrence quantification analysis; RQA) were applied. In terms of the predicted interaction dynamics, it was hypothesized that teams would exhibit synchronization in their bodily movements and complementarity in their communications and further, that teams more strongly exhibiting these forms of coordination will produce better problem solving outcomes. Results showed that teams did exhibit a pattern of bodily movements that could be characterized as synchronized, but higher synchronization was not systematically related to performance. Further, results showed that teams did exhibit communicative interaction that was complementary, but this was not predictive of better problem solving performance. Several exploratory research questions were proposed as a way of refining the application of these techniques to the investigation of CPS. Results showed that semantic code-based communications time-series and %REC and ENTROPY recurrence-based measures were most sensitive to differences in performance. Overall, this dissertation adds to the scientific body of knowledge by advancing theory and empirical knowledge on the forms of verbal and non-verbal team interaction during CPS, but future work remains to be conducted to identify the relationship between interaction dynamics and CPS performance.