...ADELPHI UNIVERSITY ROBERT B. WILLUMSTAD SCHOOL OF BUSINESS FALL 2012 DATA-DRIVEN SCHOOLS Case #7 p.469 Jonathan Kojoher OPR573 – MIS ‘MANAGING THE DIGITAL FIRM / PRENTICE HALL’ Wednesday 4:00-5:50pm Dr. Sora “A solution to the failing American School system in the form of a data gathering information systems” DATA-DRIVEN SCHOOLS MIS - Fall 2012 The case discusses the problem of the American school system falling behind those from other countries as well as the raising gap in test scores within the unsystematic American public school system; between “Green Zone” students, who are classified as white and wealthy students, and “Red Zone” students who are classified as poor and minority students. The case presents an information system (DDS - Decision Support type of information system) as a solution, to monitor real time results of test scores, grades, reading, writing, and various school related activities. This information system will allow teachers to evaluate reoccurring deficiencies and proficiencies in students, the ability to recognize a deficiency will allow the educator to develop a specific system to tackle those deficiencies and improve the student’s performance. The ability to recognize proficiencies will allow the educator to develop a specific system to further challenge the excelling students to improve his/hers current talents and scores. The case presents an argument from parents of “Green Zone” students which states that more funds are being used on...
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...DATA DRIVEN SCHOOL 2. About presentation Presented by Md. Moshiur Rahman BSSE 0330 Institute of Information Technology, University Of Dhaka 3. Overview About USA schools Problems with existing systems Effects of the problems on Students Idea of Data Driven School Implementation Improved System Case Study Question DDS : Perspective of Bangladesh. 4. About USA Schools 5. Problems 6. How Data Driven Concept works 7. Idea of Data Driven School 8. DATA DRIVEN SCHOOL 9. Implementation 10. Data Acquisition Data Acquisition have included: Guidance information (student placement and behavioral records). Student demographics. Classroom grades. Data on, and observation of, teacher personnel. Community survey data. Budgetary information. Master schedule and calendar information. Curricular information. Technological capacity. 11. Data Reflection we have come to define the phase schools generally move into after Data Acquisition as Data Reflection. In this phase: stakeholders work to make sense of the data that has been collected in order to develop specific goals for improving teaching and learning. 12. Program Alignment , Program Design We define Program Alignment as the process of taking conclusions from the Data Reflection phase and setting students up for success by making sure that state and local standards, school curriculum, classroom teaching, and all testing are focused on the same results. Program Design to bridge the gaps that became evident...
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...ADELPHI UNIVERSITY ROBERT B. WILLUMSTAD SCHOOL OF BUSINESS FALL 2012 DATA-DRIVEN SCHOOLS Case #7 p.469 Jonathan Kojoher OPR573 – MIS ‘MANAGING THE DIGITAL FIRM / PRENTICE HALL’ Wednesday 4:00-5:50pm Dr. Sora “A solution to the failing American School system in the form of a data gathering information systems” DATA-DRIVEN SCHOOLS MIS - Fall 2012 The case discusses the problem of the American school system falling behind those from other countries as well as the raising gap in test scores within the unsystematic American public school system; between “Green Zone” students, who are classified as white and wealthy students, and “Red Zone” students who are classified as poor and minority students. The case presents an information system (DDS - Decision Support type of information system) as a solution, to monitor real time results of test scores, grades, reading, writing, and various school related activities. This information system will allow teachers to evaluate reoccurring deficiencies and proficiencies in students, the ability to recognize a deficiency will allow the educator to develop a specific system to tackle those deficiencies and improve the student’s performance. The ability to recognize proficiencies will allow the educator to develop a specific system to further challenge the excelling students to improve his/hers current talents and scores. The case presents an argument from parents of “Green Zone” students which states that more funds are being used on...
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...Data -Driven Schools 1. Identify and describe the problem discussed in the case. Ans: The main Problem discussed in this case study is about the problems of the students in the schools of America .This mainly concentrated on why the students are falling behind when compared to other countries students.So,they are mainly concentrated on how they can improve the academic standards of the students by bringing out this Data Driven program in the schools. 2. How do business intelligence systems provide a solution to this problem? What are the inputs and outputs of these systems? Ans: The data driven systems are turning out to be a very good programs for the improvement of the students. These are helping the school teachers, principles, and other staff members to identify the problem that student is facing in his academic year study. These are helping the school officials to analyses where the student is not doing good by immediately collecting the records of the student from various test grades. These systems are also helping the schools to provide more necessary information and sources to the students if necessary. When coming to the inputs and outputs of these systems they are giving best results in various schools like Montgomery, 90 percent of kindergartners were able to read at the level required by standardized testing, with minimal differences among racial and socioeconomic groups. These numbers are up from 52 percent of African-Americans, 42 percent of Latinos...
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...Data Driven Schools Case Study Data -Driven Schools 1. Identify and describe the problem discussed in the case. Ans: The main Problem discussed in this case study is about the problems of the students in the schools of America .This mainly concentrated on why the students are falling behind when compared to other countries students.So,they are mainly concentrated on how they can improve the academic standards of the students by bringing out this Data Driven program in the schools. 2. How do business intelligence systems provide a solution to this problem? What are the inputs and outputs of these systems? Ans: The data driven systems are turning out to be a very good programs for the improvement of the students. These are helping the school teachers, principles, and other staff members to identify the problem that student is facing in his academic year study. These are helping the school officials to analyses where the student is not doing good by immediately collecting the records of the student from various test grades. These systems are also helping the schools to provide more necessary information and sources to the students if necessary. When coming to the inputs and outputs of these systems they are giving best results in various schools like Montgomery, 90 percent of kindergartners were able to read at the level required by standardized testing, with minimal differences among racial and socioeconomic groups. These numbers are up from 52 percent of African-Americans...
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...Teachers and school leaders: making a difference through evidence-based practice A research paper for ACT Government schools ISBN 978-0-9757487-4-9 © Australian Capital Territory, Canberra 2007 Apart from any use as permitted under the Copyright ACT 1968, no part may be reproduced by any process without written permission from the ACT Department of Education and Training, ACT Government, PO Box 1584, Tuggeranong ACT 2901. Produced for the ACT Department of Education and Training by the Measurement, Monitoring and Reporting Directorate. Telephone: Canberra 6205 9214 Fax: Canberra 6205 8353 ACT Government Homepage address 2 Introduction The purpose of this paper is to provide a research base for the ACT Department of Education and Training’s discussion paper for ACT government school teachers: Teachers and school leaders: making a difference through evidence-based practice. Evidence-based practice is defined as the collection and analysis of relevant data and research and the application of this evidence to teaching and learning and to whole school improvement. The conceptual framework of the School Excellence Initiative underpins the paper. This places student achievement and learning at the centre of any discussion. In the research literature, there are many, often contradictory definitions of data, information and knowledge. This paper will use ‘data’ as a collective (singular) noun and define terms as follows: • data: a collection...
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...Shared Vision Gather Team • Develop a philosophy of literacy • Establish common teachable foundations by grade level and course for use of literacy strategies • Initiate an ongoing professional development Objectives • Focus on data driven instruction • Focus on student motivation • Focus on integrating differentiated • Teach reading in a manner which reflects quality research-based teaching practices. Materials and Curriculum • Focus on specific curriculum content and pedagogies needed to teach effectively. • Focus on differentiated instruction and cooperative learning. • Incorporate a program that is cross curricular and meets learning goals while offering differentiated support for all learners Desired Outcomes • Increase reading...
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...STEP I I want to gain marketing insights and learn about new marketing strategies from a data-driven company. I think marketing and strategy is an integral part of any business today, so it takes everything from the scratch to execution, without a marketing strategy, a product can never be a success. Also during my undergrad studies, I came across a course known as entrepreneurship management, which generated a spark in me to learn more about marketing management and strategy. Although having a limited internship experience in data driven marketing, it would be a great opportunity for me to learn something about strategies for different customer segments and analysis of various markets through the marketing courses in my MBA curriculum and apply it to real life situations. STEP II My dream industry would be a company which is dealing in data driven marketing strategies in the sectors of health care consulting and energy auditing. To be precise, I want a job in a data driven marketing industry. STEP III: The job titles for which I would be eligible after I graduate from IIT Stuart school of Business as an MBA in Marketing and Business Analytics would be-: * Marketing/ Marketing Research Analyst * Business Development Executive * Marketing sales Representative * Marketing Account Executive * Business Analyst All these job titles match up my field of interest i.e. marketing. Also When I visited networking events, specifically the ‘Microsoft mixer’...
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...Obrero, Davao City EXPLORATORY FACTOR ANALYSIS ON GANGSTERISM _________________________ In Partial Fulfilment of the Requirement for the Subject Data Analysis for Administrators _________________________ SHERWIN S. FORTUGALIZA September 2015 A total of two hundred sixty three (263) secondary students of Davao City National High School from different grade levels and programs were chosen as respondents to answer the questionnaire on gangsterism. The total number of respondents satisfied the requirement of 10 is to 1 subject-item ratio of Nunnally (1978). Measures of Sampling Adequacy and Sphericity KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .756 Bartlett's Test of Sphericity Approx. Chi-Square 1191.498 df 190 Sig. .000 Based from the result, A KMO of .756 which is near 1 signifies a pattern for correlations that are relatively compact which provide reliable factors. In general, a KMO coefficient must be greater than 0.50. Literatures indicate that KMO values between 0.5 to 0.7 were mediocre; values between 0.7 to 0.8 were considered good; and values between 0.8 to 0.9 were great; while values above 0.93 were deemed superb, with the latter suggestive of strong confidence that factor analysis fit for the data (Tamayo, 2012). Moreover, Bartletts Test of Sphericity of 1191.498 is significant with a p-value of .000, which confirms that statements presented have patterned...
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...Analysis of Coherence and Alignment in the Model Elementary School Improvement Plan By Cyrisse Houston-Allen – EDLD 517 My evaluation of this logic model was overall very well done. When I first read through this model, I found I to be very user and reader friendly. I also found that there were multiple parallels of this school as compared to the school that I teach in Inkster, MI. This model showed that school leaders and teachers emphasized a relentless focus on literacy and scrutinized results for success by utilizing a variety of things to analyze like data, assessments that are MLPP and DRA driven. Other highlighted areas of educational reinforcement was school tutoring, preparation, kindergarten strategies that focused on catching delinquencies in the very beginning (loved it), community outreach and intense goal setting activities to succeed. The coherence and alignment seem to promote comraderie among staff members and curriculum framework around the strategy of retelling events. The staff took on productive roles to choose strategies that would improve the schools' scores overall. Thus, it did. The capacity of school leaders and teachers to reshape their school into an organization that was able to respond to the feedback of standardized testing represented a significant step forward in our understanding of school leadership practice. The strategy was chosen by the staff of the school and making the decision to use Title I funding to hire the...
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...First off the concern from critics who claims that there is to much focus on closing the gap between green and red zone student that the gifted or very talented students gets overlooked or doesn't get enough challenge and attention. Then there is the concern from parents who thinks there is to much standarized testing. The study also states that "viable alternative strategies to foster improvement in struggling school districts are difficult to develop". NOTES: How teachers use the information they recieve. Not all teachers like the IS. Three to four hours of weekly work. Even harder if your "against IT". - Many parents in Montgomery County have expressed concern that the new systems are an excessive and unnecessary expenditure. In the short term, President Obama’s stimulus plan provides increased funding to schools over the next two years. Projects like these are likely to become more popular as it becomes clearer that a data-driven approach yields quantifiable results. - In Montgomery County, one of the primary goals of the implementation of data-driven systems was to close the achievement gap between white and minority students in the lower grades. Teachers and administrators would use different types of information organized by the DSS to identify gifted students earlier and challenge them with a more appropriate course load of more advanced placement (AP) classes. - The results are very impressive. In Montgomery, 90 percent of kindergartners were able to read...
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...Cynthia Wise MoSPE Standard 1- Reflection “To ensure, support and empower students with special needs and their families, so all students receive individualized services and resources they need to develop to their maximum potential in their school and community.” I believe strongly that ALL students must have access to and participate in the general curriculum throughout all aspects of the school environment. – This is my personal vision however as an educational leader my charge is collaborate with stakeholders to develop shared vision and mission statements for a school/department or program. The Vision statement of school is defined as an “ideal image” of what school will look like or achieve in the future. The vision on the school should not come solely from myself. If others feel left out they might have “buy in”. It should involve input from teachers, parents, community leaders and other stakeholders. However I would have to do some strategic planning based on data-driven process; making sure that I understood and researched the current status of educational community. It is very important that the development of the vision is based on values, hopes, and dreams of diverse populations. I would strongly advocate that every student has equitable and appropriate learning opportunities. I believe creating a shared vision should not occur in long and drawn out planning sessions. Once completed, the vision statement should be put in print and very visible in the community...
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...Data-Driven Entertainment/Education Friberger et al. defines data games as “games where gameplay and/or game content is based on real-world data external to the game, and where gameplay supports the exploration of and learning from this data.” They also use a taxonomy to explore the categories of such games. They propose to use open and linked data to procedurally generate game content. One of their examples was Open Trumps based on the popular card game Trumps. The data source for the game content is a UN database of countries and demographics indicators. However, procedural content generation entails some transformation of data into the game content. As the authors caution, we must be careful of transformations that “lead to an unacceptable loss of veracity in relation to the original source.” In our work, the game content is the original data [1, 2, 3]. Moreover, our perspective in this endeavor to foster understanding is general instead of a game focused. Thus, it is from this general point of view that we classify data-driven applications. The figure below illustrates the classification matrix: rows represent data velocity (static or dynamic) and columns the goals of the application. The first type of goals is informational: the application just provides specific information to the user usually through visualization; interaction with the data is minimal. The second type of goal focuses on interaction with the data for sensemaking; applications in this case are usually...
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...Commonwealth Education Connections instructional method is designed around each student from the ground up, with the daily routine driven by data about his or her learning and activities designed to maximize both academic performance and social/emotional growth. Key instructional design elements for Commonwealth Education Connections include: Unique Blended Learning Model: Commonwealth Education Connections utilizes a cutting‐edge blend of face‐to‐ face and online instruction, digital and hands‐on curriculum, individualized and team‐ based learning to provide an engaging and effective educational experience for each student. Technology‐Facilitated Curriculum: Commonwealth Education Connections intends to use a high‐quality, proven‐...
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...“Daily life in districts and schools requires educators to effectively navigate a sea of data: diagnostic and norm-referenced standardized assessment data, reading assessment data, state and local assessment data, in combination with other data related to instructional programs and demographic, attendance, and dropout trends. This new level of applied data use requires district and school administrators, teacher leaders, and classroom teachers to be data literate—that is able to use multiple types of assessment and other data to inform decisions that lead to higher student achievement.” (Fox, 2013). Victoria Bernhardt (2000 & 2003) also talks about the importance of intersecting multiple data categories. She says, "Not until you intersect all data categories at the school level and over time will you be able to answer questions that allow you to predict whether the actions, processes, and programs that you are operating will meet the needs of all students. By crossing all four data categories, you are taking into account who your students are, how they prefer to learn, which subgroups of students are achieving, and with which process students achieve." According to Bernhardt (2002 & 2003), there are four kinds of data (demographic, student learning, perceptions and school processes). Demographic data provide information on enrollment, attendance, grade level, ethnicity, gender, native language, etc. Student learning data provide information in terms of standardized test...
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