This document provides tips and examples for creating effective reports from Symplicity data. It demonstrates how to build reports using the report wizard and filtering options to tell the story of career center usage and outcomes. Specific examples shown include unique log-in reports to track student engagement over time and resume upload reports to measure counseling activity. The document stresses manipulating and formatting data in Excel before including charts and graphs in a Word report to highlight successes and opportunities.
This document discusses how learning analytics and e-learning standards can work together to improve data collection. It describes how learning analytics is used to analyze student performance data from sources like learning management systems (LMS) and MOOCs. However, LMSs lack standardized data structures, making it hard to compare data across systems. The document proposes that using e-learning standards like IEEE 1484.11.1 (SCORM) and the Experience API could help standardize data collection and allow data to be more easily accessed, shared, analyzed and compared across different systems. This could help reduce costs and broaden the pool of data available for learning analytics.
The document discusses implementing a School Information Management System (SIMS) for the Faculty of Science at the University of Colombo. Currently, the school uses a paper-based system which makes information management difficult. The proposed SIMS would allow the school to manage student records, staff details, class schedules, exam results, and other processes more efficiently through an electronic database system connected via an internal school network. Implementing this new system could help address weaknesses in resource management and provide more timely access to information.
This document summarizes a campus meeting to analyze technology data from the Texas STaR Chart and develop a plan of action. The campus scored as "Developing Tech" over three years, with the exception of "Advanced Tech" in one year. Key areas of weakness were identified as Educator Preparation and Development and Leadership, Administration and Instructional Support. Infrastructure for Technology was identified as the area of strength. Meeting participants broke into groups to compare STaR Chart data to the campus technology plan, brainstorm ways to improve weak areas, and prepare presentations of their ideas for staff.
The document summarizes the Texas STaR Chart, which is used as a teacher tool for planning and self-assessing teaching alignment with the state's long-term technology plan. It contains four key areas related to teaching/learning, educator preparation, leadership/administration, and infrastructure. The document then summarizes the results for Forest Park Middle School in these areas by year, noting strengths like student-computer ratios and weaknesses like models of professional development. It concludes with planned 2010-2011 improvements at Forest Park such as new smart boards, computers, labs, and online professional development options for teachers.
Strategic information systems analysis doctorate at abms open universitysazibmehedi
Information technology (IT) is a strategic asset that is being used to mould competitive strategies and change organisational processes. As IT and its uses become more complex, developing strategies and systems to deliver the technology has become more difficult.
The Texas STaR Chart is a tool to help teachers and schools assess their current use of technology and set goals for improvement. It addresses four key areas: teaching and learning, educator preparation and development, leadership and infrastructure. Schools and districts can use the STaR Chart to answer critical questions about their technology profiles, demonstrate progress towards state technology goals, and identify areas for increased technology integration. Next steps include individual teachers determining their own STaR rating and exploring ways professional learning communities and meetings can promote technology growth across the entire campus.
Strategic information systems analysis doctorate at abms open universityAndyMario93
Information technology (IT) is a strategic asset that is being used to mould competitive strategies and change organisational processes. As IT and its uses become more complex, developing strategies and systems to deliver the technology has become more difficult.
The Texas STaR Chart is an assessment tool developed by the Texas Education Agency to measure schools' progress in 4 key areas related to technology based on the Texas Long Range Plan for Technology. It is designed to help schools determine where they are and identify next steps to improve student learning through technology. The presentation discusses Heritage Elementary's results, noting strengths like classroom internet access but areas for growth such as online learning opportunities and professional development. It concludes that addressing all 4 areas measured by the STaR Chart can help lead to student academic success.
This document discusses how learning analytics and e-learning standards can work together to improve data collection. It describes how learning analytics is used to analyze student performance data from sources like learning management systems (LMS) and MOOCs. However, LMSs lack standardized data structures, making it hard to compare data across systems. The document proposes that using e-learning standards like IEEE 1484.11.1 (SCORM) and the Experience API could help standardize data collection and allow data to be more easily accessed, shared, analyzed and compared across different systems. This could help reduce costs and broaden the pool of data available for learning analytics.
The document discusses implementing a School Information Management System (SIMS) for the Faculty of Science at the University of Colombo. Currently, the school uses a paper-based system which makes information management difficult. The proposed SIMS would allow the school to manage student records, staff details, class schedules, exam results, and other processes more efficiently through an electronic database system connected via an internal school network. Implementing this new system could help address weaknesses in resource management and provide more timely access to information.
This document summarizes a campus meeting to analyze technology data from the Texas STaR Chart and develop a plan of action. The campus scored as "Developing Tech" over three years, with the exception of "Advanced Tech" in one year. Key areas of weakness were identified as Educator Preparation and Development and Leadership, Administration and Instructional Support. Infrastructure for Technology was identified as the area of strength. Meeting participants broke into groups to compare STaR Chart data to the campus technology plan, brainstorm ways to improve weak areas, and prepare presentations of their ideas for staff.
The document summarizes the Texas STaR Chart, which is used as a teacher tool for planning and self-assessing teaching alignment with the state's long-term technology plan. It contains four key areas related to teaching/learning, educator preparation, leadership/administration, and infrastructure. The document then summarizes the results for Forest Park Middle School in these areas by year, noting strengths like student-computer ratios and weaknesses like models of professional development. It concludes with planned 2010-2011 improvements at Forest Park such as new smart boards, computers, labs, and online professional development options for teachers.
Strategic information systems analysis doctorate at abms open universitysazibmehedi
Information technology (IT) is a strategic asset that is being used to mould competitive strategies and change organisational processes. As IT and its uses become more complex, developing strategies and systems to deliver the technology has become more difficult.
The Texas STaR Chart is a tool to help teachers and schools assess their current use of technology and set goals for improvement. It addresses four key areas: teaching and learning, educator preparation and development, leadership and infrastructure. Schools and districts can use the STaR Chart to answer critical questions about their technology profiles, demonstrate progress towards state technology goals, and identify areas for increased technology integration. Next steps include individual teachers determining their own STaR rating and exploring ways professional learning communities and meetings can promote technology growth across the entire campus.
Strategic information systems analysis doctorate at abms open universityAndyMario93
Information technology (IT) is a strategic asset that is being used to mould competitive strategies and change organisational processes. As IT and its uses become more complex, developing strategies and systems to deliver the technology has become more difficult.
The Texas STaR Chart is an assessment tool developed by the Texas Education Agency to measure schools' progress in 4 key areas related to technology based on the Texas Long Range Plan for Technology. It is designed to help schools determine where they are and identify next steps to improve student learning through technology. The presentation discusses Heritage Elementary's results, noting strengths like classroom internet access but areas for growth such as online learning opportunities and professional development. It concludes that addressing all 4 areas measured by the STaR Chart can help lead to student academic success.
This document provides information about the Master of Arts in Instructional Technology (MAIT) program cohort information session. It discusses that the MAIT program focuses on designing instruction from the learner's perspective using technology. It offers the program through on-campus and cohort models, with cohorts meeting one evening per week at a school site. Cohorts receive the same curriculum and a tuition discount. The application process and testimonials from graduates are also summarized.
This document provides instructions for faculty to access and use the TaskStream system to evaluate student work. It outlines the following steps:
1) Log in to TaskStream via the university's single sign-on system using your username and pin.
2) Access the TaskStream link from the faculty menu once logged in.
3) Select the program and semester you need to evaluate student work for and click the appropriate link to see student submissions.
4) Choose the submissions to evaluate, select the "Evaluate" button, and enter scores on the rubric criteria before submitting your evaluation.
The document also describes the QuickScore evaluation method that allows scoring multiple student submissions simultaneously.
Educational Data Mining/Learning Analytics issue brief overviewMarie Bienkowski
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
The document outlines an agenda for a presentation on the Texas STaR Chart tool. It discusses the four key areas the STaR Chart assesses: Teaching and Learning, Educator Preparation and Development, Leadership/Administration/Support, and Infrastructure. It provides details on each area and shares results from WAMS' STaR Chart, which found Teaching and Learning as developing and the other areas as advanced. Attendees will work in teams to develop goals and strategies in their content areas to further develop the STaR Chart assessment.
The STaR Chart is a process used in Texas to document technology progress and support continued funding as required by the No Child Left Behind Act. It consists of district, principal, and teacher reports that are due annually and cover four key areas: teaching and learning, educator preparation, leadership and administration, and infrastructure. The STaR Chart website provides standards and resources to help teachers complete an online self-assessment survey of their technology integration abilities across the four areas.
Doctorate in mathematics & statisticssanzida01
The Doctorate Program in Mathematics & Statistics is offered jointly by the Department of Mathematics and Department of Statistics at Taras Shevchenko National University of Kyiv - Open University. The program provides students with a foundation in statistical methodology and theory, and prepares them for careers applying statistics in fields like biomedical science, engineering, and business. Students take courses in areas like mathematical statistics, time series analysis, and numerical analysis, and must complete a dissertation and defense to graduate.
The document analyzes Abraham Lincoln School of Technology and Engineering's STaR Chart results from 2009-2010, which classified the campus as Developing Tech in most areas, and provides recommendations to increase technology integration, such as improving professional development for teachers and incorporating more technology-rich goals into the Campus Improvement Plan.
The document discusses the STaR Chart, a self-assessment tool used by schools in Texas to evaluate progress in integrating technology. The STaR Chart assesses four key areas: Teaching and Learning, Educator Preparation, Leadership/Administration, and Infrastructure. Schools receive ratings from Early Tech to Target Tech based on their scores. The summary analyzes MJH's STaR Chart results, noting the school has made the most progress in Leadership but lost ground in Educator Preparation and Infrastructure, with no growth in Teaching and Learning.
The document describes an online assessment solution that is aligned to state standards and includes formative and summative assessments. It has a two-part assessment system with accountability snapshots to measure proficiency and instructional benchmarks to diagnose student strengths and weaknesses. The solution provides flexibility in item bank utilization and professional development services to help with implementation and analyzing assessment data.
Ennis High School held a faculty meeting to discuss the Texas STaR Chart, which is a long-range technology plan for Texas classrooms. The faculty analyzed Ennis High School's data from the STaR Chart, which evaluates four areas of technology integration. They identified weaknesses in student mastery of technology applications, access to professional development, and student-to-computer ratios. The faculty then broke into departments to discuss improvements and set goals to move the school towards being "Target Tech", the highest STaR Chart rating, for the upcoming school year.
This document outlines a Machine Learning course for a Bachelor of Engineering program. The course introduces concepts of machine learning, algorithms, and applications. It is a 4 credit course taught over 3 hours of lecture and 2 hours of practical per week. The content covers topics like introduction to machine learning, preparing data, modeling and evaluation, feature engineering, probability, Bayesian learning, supervised learning algorithms like classification and regression, unsupervised learning and clustering, and neural networks. Student learning is assessed through theory exams, practical exams, assignments, and course outcomes. Recommended textbooks and online resources are also provided.
The document describes an OpenERP school management module that allows schools to manage various activities through a single system. The module handles student and employee information, admissions, exams and results, events, transportation, attendance, timetables, fees, and a library system. It incorporates core modules for student admission details and registration, exam management, event organization, transportation booking, attendance and fees tracking, timetable scheduling, and library management. The module aims to enhance schools' operational efficiency by integrating various functions onto a single platform.
Celia González Nespereira, Kais Dai, Ana Fernández Vilas and Rebeca P. Díaz Redondo.
Information & Computing Laboratory
AtlanTIC Research Center
University of Vigo
This document summarizes Timbers Elementary's STAR Chart data from 2006-2007 to 2008-2009. The STAR Chart measures a school's technology proficiency in four areas: Teaching and Learning, Educator Preparation, Leadership/Administration, and Infrastructure. Timbers Elementary scored in the Advanced status across all areas over the past three years. The report recommends improving technology integration into instruction through ongoing professional development, coordinating IT and classroom lessons, and allowing IT staff to provide technology training to educators.
Ludo Waltman presents principles for responsible university ranking. He discusses 10 rules for ranking universities, including that one size does not fit all universities, rankings should be transparent about their methodology and data, and they should acknowledge uncertainty. He then highlights the 2019 edition of the CWTS Leiden Ranking, which newly includes indicators of open access publications and gender diversity among authors. Waltman concludes by emphasizing the social responsibility of both rankings and universities to encourage responsible behavior from rankers.
The document discusses the Texas STaR chart, which is used to measure technology proficiency among teachers, students, and district leadership. It provides information on how the STaR chart is used to set goals, track progress, and determine funding for a school district and Meyer Elementary in particular. Meyer Elementary's STaR chart scores from 2006-2007 to 2008-2009 are presented, showing improvement but still room for growth. The district is committed to funding new computers and technology resources to help Meyer Elementary achieve higher STaR chart scores and meet technology goals.
IRJET- Student Performance Analysis System for Higher Secondary EducationIRJET Journal
This document presents a student performance analysis system that was developed to analyze educational data and student performance. The system allows students to log in, enter their details and exam marks. It then provides graphical analysis of student performance individually and overall by subject. Reports can also be generated showing a student's marks, percentage and pass/fail status. The system aims to identify weaker students and help improve their academic results. It was developed using data mining concepts to analyze data from higher secondary students. Future work could expand it to predict student performance and guide them in their education and career paths.
This document discusses different tools that administrators can use to access student data: Data Mentor, NySTART, and Cognos. It provides information on the type of data each tool contains, who has access, and how to access each tool. It then gives examples of using each tool to analyze student performance data and identify gaps or trends. The document aims to help administrators explore how these tools can support efforts to improve student achievement.
This document outlines a grading and reporting plan for evaluating student success. It discusses how marks will be calculated based on major tests, projects, labs, and quizzes. Final marks are the total of term marks and exam marks. Grading is meant to communicate student achievement, provide self-evaluation, and select students for programs. Marks can be reported as percentages, pass/fail, or scales. Computerized grading programs make record keeping easier and allow flexible reporting formats like displays, reports, and portfolios.
This document provides information about the Master of Arts in Instructional Technology (MAIT) program cohort information session. It discusses that the MAIT program focuses on designing instruction from the learner's perspective using technology. It offers the program through on-campus and cohort models, with cohorts meeting one evening per week at a school site. Cohorts receive the same curriculum and a tuition discount. The application process and testimonials from graduates are also summarized.
This document provides instructions for faculty to access and use the TaskStream system to evaluate student work. It outlines the following steps:
1) Log in to TaskStream via the university's single sign-on system using your username and pin.
2) Access the TaskStream link from the faculty menu once logged in.
3) Select the program and semester you need to evaluate student work for and click the appropriate link to see student submissions.
4) Choose the submissions to evaluate, select the "Evaluate" button, and enter scores on the rubric criteria before submitting your evaluation.
The document also describes the QuickScore evaluation method that allows scoring multiple student submissions simultaneously.
Educational Data Mining/Learning Analytics issue brief overviewMarie Bienkowski
An overview of the Draft Issue Brief prepared by SRI International for the US Department of Education on Educational Data Mining and Learning Analytics
The document outlines an agenda for a presentation on the Texas STaR Chart tool. It discusses the four key areas the STaR Chart assesses: Teaching and Learning, Educator Preparation and Development, Leadership/Administration/Support, and Infrastructure. It provides details on each area and shares results from WAMS' STaR Chart, which found Teaching and Learning as developing and the other areas as advanced. Attendees will work in teams to develop goals and strategies in their content areas to further develop the STaR Chart assessment.
The STaR Chart is a process used in Texas to document technology progress and support continued funding as required by the No Child Left Behind Act. It consists of district, principal, and teacher reports that are due annually and cover four key areas: teaching and learning, educator preparation, leadership and administration, and infrastructure. The STaR Chart website provides standards and resources to help teachers complete an online self-assessment survey of their technology integration abilities across the four areas.
Doctorate in mathematics & statisticssanzida01
The Doctorate Program in Mathematics & Statistics is offered jointly by the Department of Mathematics and Department of Statistics at Taras Shevchenko National University of Kyiv - Open University. The program provides students with a foundation in statistical methodology and theory, and prepares them for careers applying statistics in fields like biomedical science, engineering, and business. Students take courses in areas like mathematical statistics, time series analysis, and numerical analysis, and must complete a dissertation and defense to graduate.
The document analyzes Abraham Lincoln School of Technology and Engineering's STaR Chart results from 2009-2010, which classified the campus as Developing Tech in most areas, and provides recommendations to increase technology integration, such as improving professional development for teachers and incorporating more technology-rich goals into the Campus Improvement Plan.
The document discusses the STaR Chart, a self-assessment tool used by schools in Texas to evaluate progress in integrating technology. The STaR Chart assesses four key areas: Teaching and Learning, Educator Preparation, Leadership/Administration, and Infrastructure. Schools receive ratings from Early Tech to Target Tech based on their scores. The summary analyzes MJH's STaR Chart results, noting the school has made the most progress in Leadership but lost ground in Educator Preparation and Infrastructure, with no growth in Teaching and Learning.
The document describes an online assessment solution that is aligned to state standards and includes formative and summative assessments. It has a two-part assessment system with accountability snapshots to measure proficiency and instructional benchmarks to diagnose student strengths and weaknesses. The solution provides flexibility in item bank utilization and professional development services to help with implementation and analyzing assessment data.
Ennis High School held a faculty meeting to discuss the Texas STaR Chart, which is a long-range technology plan for Texas classrooms. The faculty analyzed Ennis High School's data from the STaR Chart, which evaluates four areas of technology integration. They identified weaknesses in student mastery of technology applications, access to professional development, and student-to-computer ratios. The faculty then broke into departments to discuss improvements and set goals to move the school towards being "Target Tech", the highest STaR Chart rating, for the upcoming school year.
This document outlines a Machine Learning course for a Bachelor of Engineering program. The course introduces concepts of machine learning, algorithms, and applications. It is a 4 credit course taught over 3 hours of lecture and 2 hours of practical per week. The content covers topics like introduction to machine learning, preparing data, modeling and evaluation, feature engineering, probability, Bayesian learning, supervised learning algorithms like classification and regression, unsupervised learning and clustering, and neural networks. Student learning is assessed through theory exams, practical exams, assignments, and course outcomes. Recommended textbooks and online resources are also provided.
The document describes an OpenERP school management module that allows schools to manage various activities through a single system. The module handles student and employee information, admissions, exams and results, events, transportation, attendance, timetables, fees, and a library system. It incorporates core modules for student admission details and registration, exam management, event organization, transportation booking, attendance and fees tracking, timetable scheduling, and library management. The module aims to enhance schools' operational efficiency by integrating various functions onto a single platform.
Celia González Nespereira, Kais Dai, Ana Fernández Vilas and Rebeca P. Díaz Redondo.
Information & Computing Laboratory
AtlanTIC Research Center
University of Vigo
This document summarizes Timbers Elementary's STAR Chart data from 2006-2007 to 2008-2009. The STAR Chart measures a school's technology proficiency in four areas: Teaching and Learning, Educator Preparation, Leadership/Administration, and Infrastructure. Timbers Elementary scored in the Advanced status across all areas over the past three years. The report recommends improving technology integration into instruction through ongoing professional development, coordinating IT and classroom lessons, and allowing IT staff to provide technology training to educators.
Ludo Waltman presents principles for responsible university ranking. He discusses 10 rules for ranking universities, including that one size does not fit all universities, rankings should be transparent about their methodology and data, and they should acknowledge uncertainty. He then highlights the 2019 edition of the CWTS Leiden Ranking, which newly includes indicators of open access publications and gender diversity among authors. Waltman concludes by emphasizing the social responsibility of both rankings and universities to encourage responsible behavior from rankers.
The document discusses the Texas STaR chart, which is used to measure technology proficiency among teachers, students, and district leadership. It provides information on how the STaR chart is used to set goals, track progress, and determine funding for a school district and Meyer Elementary in particular. Meyer Elementary's STaR chart scores from 2006-2007 to 2008-2009 are presented, showing improvement but still room for growth. The district is committed to funding new computers and technology resources to help Meyer Elementary achieve higher STaR chart scores and meet technology goals.
IRJET- Student Performance Analysis System for Higher Secondary EducationIRJET Journal
This document presents a student performance analysis system that was developed to analyze educational data and student performance. The system allows students to log in, enter their details and exam marks. It then provides graphical analysis of student performance individually and overall by subject. Reports can also be generated showing a student's marks, percentage and pass/fail status. The system aims to identify weaker students and help improve their academic results. It was developed using data mining concepts to analyze data from higher secondary students. Future work could expand it to predict student performance and guide them in their education and career paths.
This document discusses different tools that administrators can use to access student data: Data Mentor, NySTART, and Cognos. It provides information on the type of data each tool contains, who has access, and how to access each tool. It then gives examples of using each tool to analyze student performance data and identify gaps or trends. The document aims to help administrators explore how these tools can support efforts to improve student achievement.
This document outlines a grading and reporting plan for evaluating student success. It discusses how marks will be calculated based on major tests, projects, labs, and quizzes. Final marks are the total of term marks and exam marks. Grading is meant to communicate student achievement, provide self-evaluation, and select students for programs. Marks can be reported as percentages, pass/fail, or scales. Computerized grading programs make record keeping easier and allow flexible reporting formats like displays, reports, and portfolios.
MIS 648 Group Project Abdulrahman Alrowais, Na.docxannandleola
MIS 648
Group Project
Abdulrahman Alrowais, Narendranath Singh, Suhas Sonawane
Abstract:
The project comprises of the implementation of Decision Support Systems principles. Business
Intelligence is the key factor in DSS. BI helps making better decisions by applying the modeling
techniques using BI tools. There are numerous tools available for BI. This project uses MS
Excel, Minitab, MS Access and Auspicate as tools. The project is based upon the idea of helping
students of NJIT to register for the particular course under certain professor which they can find
rating as helpfulness, easiness, clarity of that respective professor. In BI terms the project is
mainly dealing with gathering information, putting it together to have a meaningful model and
project useful information as output which eventually would help make best decisions. Project
deals with data from NJIT consolidated with data from ratemyprofessors.com. Together it gives
tabular model and applying BI techniques on the model.
Part I
Definition of Problem:
Every year during the start of the semester students are confused about the courses they should
register and under which professor. According to Miranda and Saunders (2003), people who
engage in online dealings are much more likely to be more responsive and considerate on the
quality of information a website presents since information quality provide them a useful
approach in coming up a decision whether they will go with or not. Student find it difficult to
analyze it under one system, generally has to go to senior or look into website for grading and
ranking of professors. Lecture timing and the course selection get difficult to adjust for the
students. We try to build an intelligent system, where students can review ranking, courses and
timing before registering, using which one can easily analyze the course they want to register.
Useful and high quality contents in a BI system must be provided in order to attract practical
users to utilize it (Tung et al. 2009). Using the same system the school management can analyze
the progress of the faculty and the student results. The results of students and ratings of the
management school professors has to be accurate and from the source, management school will
provide the student results and on the other hand students will rate their professors. For Wang
(2008), reliability is the ability of the system to provide accurate and dependable service; thus
establishing the importance of the quality of information integrated in the system in order to
develop reliability.
Justification:
The system takes help of Minitab tool which helps in Data Mining and Business Intelligence.
Since student wants to take best decision for his management course, he can take the help of our
system. In the system student can check for the best classes under the best professor. Student also
can look up for the time to attend the classes ...
The community of practice gives people an opportunity to network, share practice, hear what various institutions are doing and what we're doing in this space. You'll have the opportunity to discover more about our digital apprenticeships project, as well as our new toolkits in this area.
Elementary Data Analysis with MS excel_Day-1Redwan Ferdous
This document provides an overview of an elementary data analysis course using MS Excel. The 6-day course will introduce basic concepts like data, data types, and data analysis processes. It will cover collecting, cleaning, and analyzing data in Excel. Topics will include functions, formulas, charts, pivot tables, and more. The goal is to help professionals and students better understand and utilize data through hands-on Excel training and examples.
Final Exam InstructionsFor the final exam, you need to answer th.docxmydrynan
The document provides instructions for the final exam. It states that students must answer 3 questions and all sub-questions, prepare a written paper, and submit it individually by the due date listed in the course schedule. The paper should be about 5 pages long, use Times New Roman font size 12, have 1-inch margins, appropriate headings, and the student's name and ID should be included in the file name. The responses will be graded on comprehension, application, analysis and synthesis, and communication. No external references are required but can be included if necessary. A sample cover page is also provided.
Enterprise Architecture Surveys with LeanIXLeanIX GmbH
Introduction to leanIX's new Survey Add-on. Improves your data quality and makes ad hoc surveys extremely easy.
===
LeanIX offers an innovative software-as-a-service solution for Enterprise Architecture Management (EAM), based either in a public cloud or the client’s data center.
Companies like Adidas, Axel Springer, Helvetia, RWE, Trusted Shops and Zalando use LeanIX Enterprise Architecture Management tool.
Free Trial: http://bit.ly/LeanIXFreeTrial
(1) Jisc provides shared services and support for UK universities and colleges. Its learning analytics project aims to improve student retention, achievement, employability and learning through data.
(2) Jisc developed an open architecture storing learning data in the cloud with APIs and tools. Early adopter institutions are piloting dashboards and predictive models, but significant process changes take time.
(3) For success, dedicated project roles are needed including managers, analysts and academic representatives. Tools must match existing workflows and use descriptive analytics initially before predictive uses. Standards facilitate multiple vendors using shared data.
Research in to Practice: Building and implementing learning analytics at TribalLACE Project
Keynote by Chris Ballard, Data Scientist, Tribal, given at the LACE SoLAR Flare event held at The Open University, Milton Keynes, UK on 9 October 2015. #LACEflare
SoLAR Flare 2015 - Turning Learning Analytics Research into Practice at TribalChris Ballard
Speaking engagement at LACE SoLAR Flare hosted by the Open University. Turning Learning Analytics Research into Practice at Tribal. A video of my talk can be found at http://stadium.open.ac.uk/stadia/preview.php?whichevent=2606&s=1&schedule=3411&option=&record=0#
The document summarizes the implementation of a new admissions application and review system called SLATE at Columbia University Graduate School. It discusses envisioning the need for a new system based on over a decade of experience with online applications and reviews. It also describes surveying departments about their workflows, designing the new system to mimic existing paper processes, selling the new system through outreach, providing support, and making ongoing tweaks and improvements based on feedback.
IRJET- Design and Development of Ranking System using Sentimental AnalysisIRJET Journal
1) The document presents RANKBOX, a ranking system that mines complex relationships in college/school data based on user feedback.
2) It uses sentiment analysis and machine learning to automatically personalize rankings according to user preferences and continuously improve based on user feedback.
3) The system was implemented as a web application that allows users to provide simple feedback on colleges/schools and view personalized rankings of subsequent queries based on their feedback.
Using Analytics for Institutional Transformation - Dr. Yvette Mozie-Ross - Un...Blackboard APAC
To achieve its strategic goals, UMBC realized it needed to become a more data-driven institution by deploying more sophisticated tools and procedures to help staff find and analyze data in a timely way. Specifically, the university needed ways that users could develop accurate and easily configurable reports to support operational management decisions and strategic analysis, which a data warehouse made possible. In this talk, Dr. Mozie-Ross will describe how UMBC successfully implemented its data warehouse by resolving campus-wide issues with buy-in, IT partnering with IR, governance, and cost.
CompensationTotal rewards is an organizational system of rewardsLynellBull52
Compensation
Total rewards is an organizational system of rewards that is inclusive of compensation, benefits, and any tangible or intangible items employees value and an employer provides to retain employees and reinforce preferred behaviors. These forms of compensation are broken down into two categories: direct (monetary) and indirect (non-monetary).
Non-HR Perspective: What is the manager’s role in establishing a compensation strategy? How do managers influence the compensation process?
In developing your response, you want to consider some of the following elements: legal consideration, diversity of employees (e.g. multiple generations in the workforce), motivation, recruitment and retention, sustaining performance, challenges, and various employee classifications (executive, professional, international, etc.).
*Post must be a minimum of 250 words
Information Systems for Business and Beyond (2019)
Information Systems for
Business and Beyond (2019)
Information systems, their use in business, and the
larger impact they are having on our world.
DAVID BOURGEOIS
JOSEPH MORTATI, SHOUHONG WANG,
AND JAMES SMITH
Information Systems for Business and Beyond (2019) by David Bourgeois is licensed
under a Creative Commons Attribution-NonCommercial 4.0 International License,
except where otherwise noted.
This book was initially developed in 2014 by Dr. David Bourgeois as part of
the Open Textbook Challenge funded by the Saylor Foundation. This 2019
edition is an update to that textbook.
This book was produced with Pressbooks (https://pressbooks.com) and
rendered with Prince.
https://creativecommons.org/licenses/by-nc/4.0/
https://www.saylor.org/2011/10/open-textbook-challenge-making-textbooks-available/
https://saylor.org/
Information Systems for
Business and Beyond
Updated edition: August 1, 2019
DAVID T. BOURGEOIS, PH.D.
JAMES L. SMITH, PH.D.
SHOUHONG WANG, PH.D.
JOSEPH MORTATI, MBA
Title Page | v
Copyright
Information Systems for Business and Beyond (2019) by David Bourgeois is licensed
under a Creative Commons Attribution-NonCommercial 4.0 International License,
except where otherwise noted.
vi | Copyright
https://opentextbook.site/informationsystems2019
https://creativecommons.org/licenses/by-nc/4.0/
http://creativecommons.org/licenses/by/3.0/legalcode
Book Contributors
Information Systems for Business and Beyond was originally
developed in 2014 by David T. Bourgeois Ph.D.
Updates for the 2019 edition were graciously contributed by:
• James L. Smith Ph.D. (all chapters)
• Shouhong Wong, Ph.D. (chapters 4 and 8)
• Joseph Mortati, MBA (chapter 10)
Book Contributors | vii
Changes from Previous
Edition
Information Systems for Business and Beyond was written by Dr.
David Bourgeois and originally published in 2014 as part of the
Open Textbook Challenge at the Saylor Foundation. Since then, it
has been accessed thousands of time and used in many courses
wo ...
What is data mining? The process of analyzing data to discover hidden patterns and relationships that can help you manage and improve your business.
Check out: www.eleaderstochange.com
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This document discusses grading and reporting of student results. It provides details on marking plans, calculating term and final marks, the purposes of marks, types of marking systems, factors to consider for reporting systems, and how computerized grading programs and electronic grade books can simplify record keeping and provide various reporting options for teachers.
The document provides information on the curriculum for the subject of Information Technology (code 402) for class 10. It focuses on the job role of a Domestic Data Entry Operator. The course aims to teach students skills like effective communication, using computer applications, self-management and entrepreneurship. It will cover topics like digital documentation, spreadsheets, database management and web applications. Students will learn skills like data entry, keyboarding, using office applications and computer operations. The curriculum allocates 200 hours total for theory and practical lessons across various units over the academic year.
Similar to Symplicity Symposium 2015 Reporting Presentation Rev FINAL (20)
Symplicity Symposium 2015 Reporting Presentation Rev FINAL
1. Reports, stats, & Beyond
Drive results and attract attention
of senior leadership
Ron Gaschler, M.Ed.
2. OBJECTIVES
• Know report basics such as appropriate use of usage
reports, report wizard and Google Analytics
• Be able to identify appropriate base class and how to
build reports
• Know how to set criteria while not skewing data
returned
• Know what student data is important and what other
modules of Symplicity can help in reporting needs
3. Total System Usage (Based on User Log Ins)
Data based on a fictitious university
0 10000 20000 30000
Q1 Total
Q2 To
Date
Apr-12
Mar-12
11016
6762
3879
3796
20004
11074
5461
5590
Number of Log Ins
Number of Unique
Users
NACElink Symplicity… SAMPLE USAGE CHARTs to show ROI
Successes: (Tell your story here… EXAMPLES)
•Improved use of Symplicity in April over March
•Email campaign to students & alumni increased
usage of Symplicity & visits to center
•Continued Social Media presence raises
awareness and produces more “likes”
•Webinars meet student demand (EVENT REPORTS)
•General sessions attract [insert your #’s here]
•Niche topics attract [insert your #’s here]
•Employer Outreach Continues (EMPLOYER REPORTS)
•Record week of job postings [insert number]
15.6%
36.9%
13.7%
12.3%
21.6%
% Users by Class Level
Based on a sample university setting
Graduate/Prof & Beyond
4th Year/Senior
3rd Year/Junior
2nd Year/Sophomore
1st Year/Freshman
Opportunities: (How you’re taking advantage)
•Forecast strong use of Symplicity for 2012
•Already seen evidence of increase live support usage
during first few months of semester
•Increase employer outreach and relationships by
assisting employers in reaching target populations
•Targeted email campaigns to students
•Outreach campaign to NACE employers
4. Where to get the numbers…
1. Symplicity CSM Home Page
2. Report Wizard
3. Reporting Module
4. Google Analytics
**Screen shots from Symplicity
Demo Site and our site, your
views may vary**
5. Tips for tweaking and troubleshooting
Try, try and try again…
• Use different base classes
• Use related classes
• Use various settings
• Use ‘Counts’ and ‘Archives’
• Copy an existing report so you don’t lose data
• Print screen shots of your report settings for future
reference
• Create instruction sheets or cheat sheets for future
reference
• Think about what data analysis you will need when
deciding what data to place into your CSM upfront
6. Creating reports fundamentals
Step 1: Base Class – What is the basis for your report?
Student, Employer, Counseling, etc.
Step 2: Title and Description
Simple titles, brief instructions
7. Creating a unique log in report
1. Select a unique identifier (Student ID, Student Name, etc.)
2. Select the archive data and count
boxes to the right of your base class
(students in this example) so that it counts
3. Select date range for Last Log In and Number of Log Ins
4. Select other filters as needed as long as they don’t limit your
results too much (i.e., Class Level, Degree Level, etc.)
8. Unique Log In Report Results
(data results from Symplicity demo site)
9. Telling your story
(data results from Symplicity demo site)
1. From this… 2. To this…
3. And finally this…
19.2%
39.3%
12.8%
10.9%
17.8%
% Users by Class Level
Based on a fictitious university
Graduate/Prof & Beyond
4th Year/Senior
3rd Year/Junior
2nd Year/Sophomore
1st Year/Freshman
10. Resume Builder and review reports
Sample data results for a fictitious university
Dates Uploaded MTD Upload
Total Cover Letters &
Resumes In System Outreach Review
5/12-5/18 57 75 2905 57 62
5/5-5/11 41 64 2808 41 38
4/28-5/4 46 37 2667 46 35
April 2012 150 150 2630 150 123
Mar 2012 197 197 2180 205 179
Feb 2012 181 181 1783 187 142
Jan 2012 115 115 1402 157 164
Total
Resumes
in
Symplicity
ResumesUploaded
DuringDateRange
Counselor
Resume
Outreach
and
Review
Activity
11. Turning data results into usable reports
• Figure out which reports you need from Symplicity and
save them to Excel
• In Excel, manipulate and format data as needed to
create meaningful reports and comparisons including
percentages and charts
• Create a Word Document report starting with highlights
that help “tell the story”
• Paste in charts and graphs from excel into Word
Document to support the story
12. Q & A
• Questions?
• Answers?
• Best Practices to share?
13. THANK YOU
Ron Gaschler, M.Ed.
Associate Director, Career Services
rgaschler@email.Arizona.edu
Editor's Notes
In the end, it is helpful to be able to create charts such as this and tell a story of your successes, opportunities and how you add value to the institution.
This slide’s chart is an example of approximately 15% of the student population at a large university of 70k who used the system over the course of one quarter.
The top graph shows unique user log ins by building a report in the Reporting module of Symplicity using a base class of students and counting “log ins” and “last log in”
The second chart shows a percentage breakdown of usage by class level. You can create similar charts for your appointments with counselors if you use the Counseling Module which we highly recommend
You will notice some statements on the right. These are summaries telling the story based on other reports we run such as a report on our events like info sessions, workshops (in this case we used Webinars as an example of workshops) and employer activity.
Now lets take a look deeper into where we get the data from Symplicity in order to tell your story.
(NEXT SLIDE)
There are four places to retrieve data from Symplicity CSM.
Symplicity CSM Home Page provides a good brief overview of what is going on in your system.
It provides a nice summary of pending actions as well as CSM statistics such as how many employers are registered in your system or how many jobs are posted at any given time. It also breaks down registered students and whether jobs are posted directly to you or were received from a multi-school posting.
In addition, you can quickly see event activity here such as how many employers have registered for a career fair or how many information sessions you have scheduled
2. Report Wizard can provide a quick high level over view of CSM data such as how many appointments each staff member had for a chosen date range.
Report Wizard will provide a count of each counselors appointments
Report Wizard in version 2.0 DOES report on fields that you customized. For example, if you created the category “Reason For Appointment” as many of us use this information, Report Wizard could give you more specific information based on how that field was created and how you filter it. You can always drop this data into a pivot table to extrapolate additional information and take counts of various things.
The report wizard gives you the ability to create reports from high level to in depth, from easy to complex. At a basic level you should at least provide the basics of how many appointments each staff took, what type, etc. for the Counseling Report and similar basic high level info for each main area (Student Activity, Employer Activity, Recruiting Activity, Events, Employment/Placement, Counseling, Exp Learning, Information Session, Career Fair, Workshops).
3. Reporting module as we all know is where we can get the most data, dive deeper and customize reports to our individual needs. We will share some examples of that and spend some time on this section and how to capitalize on the data you can gain from this section today.
4. Google Analytics which can be connected to your CSM under tools can be used as a quick, convenient estimate of what is occurring in your system.
Google Analytics are wonderful because they are convenient, but they do not tell the whole story. Provides good over all feedback of use of the system.
Google Analytics does not read the IP address and not their unique ID in CSM when calculating unique visits, so if someone logged in from 3 different computers, then that would reflect an additional 3 in the unique visitors stat. In other words it doesn’t provide individual user information.
So, who can tell the audience where a better place is to identify unique log ins in your CSM system? (ANSWER: Build a student report that counts unique log ins).
As you may or may not recall, when you are developing and implementing your system a lot of information is thrown your way. Therefore, it probably isn’t that we weren’t told as much as it is that we can’t retain all of the information we received during our implementation calls.
So don’t feel bad that some things are so basic yet you may be saying, “why didn’t anyone ever tell me that!”
It is important to try your report multiple ways to make sure you are getting accurate counts and data.
Remember simple is good. The more parameters you set, the more limited your data becomes.
Remember some data create “and” scenarios while others create “or” scenarios between fields and the difference is not always explicit until you compare two sets of data. If it creates an “and” scenario, it is going to only show search results on ALL fields selected rather than ANY fields selected.
Don’t forget to include counts on items you want a total on such as log ins, RSVP’s, and other actions where this check box is available if pertinent to your data
Remember to select archives if you are wanting to report activities including archive data (i.e. withdrawn, graduated, etc, depends on your system set up)
Copy to new reports so that you don’t lose what you created previously and don’t have to recreate the wheel. This enables you to not lose work you have done and easily start trying a new report
Print screen shots of your report settings and file them in a safe place so you always have back up for recreating or also for trouble shooting
Create instruction sheets for staff and yourself. At a prior institution, we had instruction sheets for developing our weekly reports from start to finish. Finish being the word document that tells the story of what all the data means so that it is meaningful for leadership.
For those in the room who may be brand new to reporting, lets cover a few fundamentals about reporting. Keep in mind that since our systems are all customized and we can create custom real time reports, the systems allow us to create variety of reports. Because of that, there is no science to reporting in Symplicity, there may be multiple ways to accomplish the same thing. So lets start with some fundamentals and then share some best practices we have learned. Some of you may have practices to share as well.
The base class selected will serve as the basis for your report.
Core info you want in your results needs to be in this class.
Other data may be selected in related classes.
Your list of base classes available will be relevant to the modules you use in your CSM.
Once the base class is selected your new report will open and you can manipulate report settings from the list of available reporting fields which are based on the base class
Base classes are listed initially with subsequent related classes. Emphasis on “related” so if you don’t see the data field you were hoping for, you need a different base class!
When titling and describing your report, make it make sense. We use the description box to list instructions such as DO NOT TOUCH THIS or CHANGE ONLY DATE RANGE and what data it returns.
We run about 6 reports to manipulate data and get our end product of a weekly report.
We end each report title with the subsequent number. (Example, Unique Users Report – Report 1, Counseling report – Report 2, etc)
Lets continue on building a report with the student base class. Lets create a report for unique log ins and number of log ins.
After selecting a base class and giving your report a title and description, we recommend providing student detail data in your report so that you can identify duplicates or errors. This would include the Student ID, Student Name. Student ID or what your system uses as a unique identifier is helpful in these types of reports.
Remember to select include archives and count if you intend to include archives as well as count the number of the base class in this case students. Count may be selected on several other fields as well to provide totals.
Select your desired date range you need results for in the Last Log In and the Number of Log Ins. This enables you to count the total number of logins with in a date range.
We select class level as well. This works in our system because we do a data file transfer every night using API so all of our students have the same fields available. Now you could also limit results by selecting to receive results for only certain class levels, degrees, etc.
Using the Symplicity Demo account, we created this basic report calculating unique students and how many times they each logged in.
At the bottom if you were to scroll down it would give you a total number of unique students. If you select save as excel you would be able to total the number of log ins.
You also will recall I mentioned summarizing other data such as class level. This would show up in the column to the right of Student: Number of Logins
Save as Excel and you will be able to create sum totals of columns such as number of logins and any other info you summarized. The summary of class levels will appear on a summary tab. Any summarized fields will each show up on their own tab following the “student report” tab which will house all of the raw data.
We use excel to turn this raw data into pretty charts that help tell our story.
Also remember that if you want to track only students and alumni, you want to build a login report instead of looking at Google Analytics. Why is that? (ability to identify the unique values of student users)
Using formulas in excel create a chart that provides ways to tell the story. In this basic example we are looking at what class level uses the Symplicity system.
The excel screen shots are showing the process from raw data to manipulated data to a chart that helps tell the story.
You may choose to also include the detail data to show the break down of numbers of each class level.
Also, these screen shots show undergrad, grad and alumni, but you can have your system report class levels of undergraduates instead of these degree levels.
There can be benefit in knowing how many freshmen versus how many seniors, etc use your system to plan marketing/outreach campaigns and plan programs and services relevant to them. This is shown in the example at the bottom in the pie chart.
This chart shows resume upload and review activity. The upload activity is based on a report using base class “student” while the outreach and review activity is from a report using base class “career counseling” to track staff activity.
Upload, MTD Upload and Total Cover Letters & Resumes in System values are obtained by running the same base class “student” report three separate times, selecting desired date ranges as appropriate.
Although the Documents section of the “upload” report has the option to report “Review status,” this status cannot be used to obtain values for “outreach and review” since it will only report the current review status of documents that were uploaded during the designated time period.
In order to track document “outreach and review” activity during a specific time period, we run a separate base class “career counseling” report. This ensures that we do not limit activity reporting based on document creation dates. Also, we are able to track the historical activity related to documents during a designated time period, as opposed to a static status snapshot.
For the base class “career counseling” report, Outreach and Review would be recorded “reasons” for the appointment, a custom added field in this case. Thus, these numbers won’t correlate to uploads and other data because you may review resumes submitted via email, in an appointment, for a class, etc. and these come from counseling activity.
Figure out which reports you need from Symplicity and save them to Excel using the “save in excel” button in the reporting tool of Symplicity when you view your report
In Excel, manipulate and format data as needed to create meaningful reports and comparisons including percentages and charts
Run totals and create formulas for total sums, percentage comparisons, etc
Insert charts to help paint a picture of your data such as a pie chart showing percentage break down of class level using your services
Create a Word Document report starting with highlights that help “tell the story”
Paste in charts and graphs from excel into Word Document to support the story
The various images in this PowerPoint provide you with some examples of how to improve reports to tell a story to your leadership. Too often I see data tables of numbers that mean nothing and do not tell a story. This is not sufficient to communicate the added value of your deparmt