xv, 109 p. : col. ill. / The current study investigated variability in student performance on DIBELS Oral Reading Fluency (DORF) Progress Monitoring passages for third grade and sought to determine to what extent the variability in weekly progress monitoring scores is related to passage-level factors (e.g., type of passage [i.e., narrative or expository]), readability of the passage, reading rate for words in lists, passage specific comprehension, background knowledge, and interest in the topic of the passage) and student-level factors (e.g., the student's initial skill and variability across benchmark passages). In light of recent changes in IDEIA legislation allowing for the use of Response to Intervention models and formative assessment practices in the identification of specific learning disabilities, it was intent of this study to identify factors associated with oral reading fluency that, once identified, could potentially be altered or controlled during progress monitoring and decision-making to allow for more defensible educational decisions. The sample for analysis included 70 third grade students from one school in Iowa. Results of two-level HLM analyses indicated significant effects for background knowledge, interest in the passage, type of passage, retell fluency, readability, and word reading, with type of passage and readability demonstrating the largest magnitude effects. Magnitude of effect was based upon a calculation of proportion of reduction in level 1 residual variance. At level 2, initial risk status demonstrated a significant effect on a student's initial oral reading fluency score, while the benchmark variability demonstrated a significant effect on a student's growth over time. Results demonstrate support for readability as an indicator of passage difficulty as it relates to predicting oral reading fluency for students and suggest that consideration for the type of passage may be warranted when interpreting student ORF scores. Additionally, results indicated possible student-level effects of variables such as background knowledge and word list that were not investigated within the current study. Limitations of the study, considerations for future research, and implications for practice are discussed. / Committee in charge: Roland Good, Chairperson/Advisor; Laura Lee McIntyre, Member; Joe Stevens Member; Robert Davis, Outside Member; Scott Baker, Member

With the advent of No Child Left Behind (NCLB) legislation in 2002 and its attendant increases in accountability pressure, many districts and schools currently embrace data analysis as an essential part of the instructional decision making process. In their attempts to overcome low achievement on state-mandated tests, some districts have begun employing data coaches. The study reported here, which was set in three middle schools in a northeast Texas school district, assessed the influence of the campus data coach on a middle school mathematics teachers' use of analyzed data to make instructional decisions. It also examined the extent to which the Data Coach/teacher relationship resolved teacher concerns about data-driven decision making. Phenomenological interviews with data coaches were guided by Seidman's (2006) three-series interview. Measurement of teacher use of data to make decisions was based on the concerns-based adoption model's levels of use interview protocol, stages of concern questionnaire, and innovation configuration map. By the end of one school year, two out of the three teachers never used data to make instructional decisions, although the non-users both had moved closer toward employing the innovation in their classroom. Data indicated all teachers were aware of the innovation, but all three ended the study with high personal concerns, signifying that the minimal efforts made by the data coaches to resolve concerns were not successful. This study's small sample gave the research paradigm of data-based decision making an in-depth glimpse into the process of implementing data-based instructional decision making and the Data Coach position on three middle school campuses in one large northeast Texas district.

The current manufacturing business environment becomes more dependent of digital tools to increase business opportunities and customer value. The organizations ability to embrace the digital tools is dependent of a its digital maturity position. The organization structure, information systems, and communication are variables affecting the position and enables or disables possibility of data-based decisions-making (DBDM). To determine the ability information system and information flow is analyzed through a case study at one of the production departments. The areas studied in the case study are information flow of metal powder and compression tools.  The case study is performed to study the organizations ability to connecting information, study information flow and assess potential information disruption. It is assessed by using digital maturity assessments. This result provides an insight of how it affects the DBDM abilities within the department. These areas are common in a general production setting. The metal powder area is analyzed by an experiment where the metal powder containers is manually measured and evaluate the real weight compared to the depreciated weight in the information system. The compression tool analysis is performed by extracting and analyzing structured- and unstructured machine data from the production. This analytical angle is dependent of reliable data, and information disruption between the production processes and the servers is noticed during the extraction of data. This extraction process and analysis resembles the need when implementing machine learning and other automatic applications.  The 360DMA assess a general view of the organizations position and follow up with a method how to reach certain goals to increase one of the five levels. The Acatech-model is used to assess two structural areas, resources and information systems. The metal powder container analysis shows that there is a problem between the information stored in the systems regarding weight of the metal powder containers. The compression tool analysis result is that the stored data about the compression tools and the count of the different components is not correct. This and difficulties with manually- and automatically extracting data from server’s cause information disruptions and decrease the production process information reliability and validity. This decrease the ability to use the production data to make data driven decisions and gain insights about the production. The digital maturity assessment position the organization on a connectivity level (Acatech model) regarding information systems and resources means that data is unreliable and once its reliable the next level is in reach. The varying position within the 360DMA model call for management to synchronize development between processes by introducing strategies, define responsibilities and understand the information flow.

In the modern era of high-stakes accountability, test data have become much more than a simple comparison (Schmoker, 2006; Payne & Miller, 2009). The information provided in modern data reports has become an invaluable tool to drive instruction in classrooms. However, there is a lack of good training for educators to evaluate data and translate findings into solid practices that can improve student learning (Blair, 2006; Dynarski, 2008; Light, Wexler, & Heinze, 2005; Payne & Miller, 2009). Some schools are good at collecting data, but often fall short at what to do next. It is the role of the principal to serve as an instructional leader and guide teachers to the answer the reoccurring question of "now what?" The purpose of this study was to investigate ways in which principals build successful data-driven instructional systems within their schools using a qualitative multi-site case study method. This research utilized a triangulation approach with structured interviews, on-site visits, and document reviews from various middle school supervisors, principals, and teachers. The findings are presented in four common themes and patterns identified as essential components administrators used to implement data-driven instructional systems to improve student achievement. The themes are 1) administrators must clearly define the vision and set the expectation of using data to improve student achievement, 2) administrators must take an active role in the data-driven process, 3) data must be easily accessible to stakeholders, and 4) stakeholders must devote time on a regular basis to the data-driven process. The four themes led to the conclusion of ten common steps administrators can use to acculturate their school or school division with the data-driven instruction process. / Ed. D.

The use of Response to Intervention, more commonly referred to as RTI has become more prevalent as school systems look to find ways of bridging the opportunity gap and provide support those students who are not successful in their attempts to access the general education curriculum. More research is needed in order to have a better understanding of not only how schools implement RTI, but also how they utilize data, monitor student progress and help to ensure fidelity of implementation. The purpose of this study was to examine and explain how one elementary school with a high quality RTI program implemented Response to Intervention while keeping all three essential components in consideration. The findings demonstrate that the subject elementary school combined several elements of Response to Intervention and in turn, created their own version of a hybrid RTI model that utilized components from both the standard protocol model and the problem-solving model. In order to monitor student progress, universal screeners were utilized several times throughout the year for both reading and math. Reading was also monitored through running records, PALS Quick Checks, Orton Gillingham assessments, and exit tickets, whereas Math utilized formative assessments, anecdotal notes, and exit tickets to track student progress. Each math and reading CLT met weekly to engage in dialogue around student data. An important finding is that the subject elementary school made RTI implementation decisions around what was best for their students, which allowed for a more flexible and adaptable approach. The system utilized targeted individual student needs and helped to ensure that ALL students had access to the necessary supports that would help to ensure student success. / Doctor of Education / As schools continue to face increasing demands, including how to meet the needs of students with diverse academic backgrounds, they have been charged with exploring new ways and methods of ensuring that students are successful in their attempts to access the general education curriculum. Response to Intervention, more commonly referred to as RTI, has become more widely used in school systems as they continue to work to ensure student success for all. RTI is seen as a tool to help accurately identify students who have a learning disability (Ciolfi and Ryan, 2011), however more research is needed in order to have a better understanding of how schools implement RTI, as well as how they utilize the data collected and monitor student progress. This qualitative case study analyzes how one subject elementary school implemented RTI, how they utilized data, as well as how they monitored the progress of their students.

In this study, the aim is to review principals' data-based decision-making process, which is based on analysing the discourses that are expressed in the documentation of their decision-making process. There are 84 decisions reviewed which come from 12 different principals in 13 different schools (pre-school class and year 1 - 9 compulsory school).  The theoretical startingpoint for the study is organisational theory and a model for Critical discourse analysis (CDA), which consists of three interrelated processes of analysis. Four different decision discourses are identified, efficiency discourse, knowledge discourse, documentation discourse and problem-based discourse. Previous research in the same field are confirmed. However, it contradicts with the idea that data-based decision-making process is following certain steps and fixed order in this kind of decision process in school. The conclusions are that despite guidelines and a strong focus on assessing results, the decision-making process seems to take other directions than planned in policies. Some parts in the process seems to be particularly complicated, and schools would gain from clarifying a designed data-based decision process. / I den här studien är syftet att granska rektorers välgrundade eller databaserade beslutsprocess, vilket sker genom att analysera de diskurser som kommer till uttryck i rektorers dokumentation om analys av resultat och planerade åtgärder. Utifrån en flerdimensionell analysmodell granskas 84 planerade åtgärder, från 12 olika rektorer i 13 olika grundskolor. Den teoretiska och metodologiska utgångspunkten finns i kritisk diskursanalys och organisationsteori. Resultatet stämmer till viss del överens med och bekräftar tidigare forskningsresultat inom samma område, men det motsäger att den välgrundade beslutsprocessen går till i bestämda steg och i en viss ordning. I studien identifieras fyra beslutsdiskurser: effektivitetsdiskurs, kunskapsdiskurs, dokumentationsdiskurs och problembaserad diskurs. Slutsatserna är, att trots riktlinjer och ett starkt fokus på att bedöma resultat verkar beslutsprocessen ta andra vägar än det som planeras i direktiv och policys. Vissa delar är särskilt komplicerade och av den anledningen kan alla organisationsnivåer vinna på att ge en mer tydlig form till processen för de databaserade besluten.

The topic of smart cities is growing in importance. However, a field study in the city of Malmö, Sweden shows that there is a discrepancy between the ongoing activities of urban planners and companies using analytical and digital tools to interpret humans’ behavior and preferences on the one hand, and the visibility of these developments in public spaces on the other. Citizens are affected by the invisible data and software not only when they use an application, but also when their living space is transformed. By Research through Design, this thesis examines ways of triggering discussion about smart city issues, which are hidden in software and code. In this thesis, a specific solution is developed: a public, tangible, and interactive visualization in the form of an interactive signpost. The final, partly functioning prototype is mountable in public places and points in the direction of the most beautiful walking path. The design refers to a smart city application that analyzes geo-tagged locative media and thereby predicts the beauty and security of a place.The aim is to trigger discussion about the contradictory issue of software interpreting the beauty of a place. Through its tangible, non-digital, and temporary character, the interactive representation encourages passers-by to interact with the prototype.