Project ASTRO aims to create an open source reporting tool and Blackboard building block to track system activity and user engagement. It will automatically collect data on course usage, tools used, and user profiles. Advanced reports will analyze trends to identify underutilized areas and target users. The project will be released as open source software to help institutions improve Blackboard adoption and make data-driven decisions.
White Paper based on imaging informatics workshops
https://wiki.nci.nih.gov/x/3K-4Ew
Blog entry announcing the release of the white paper
https://ncip.nci.nih.gov/blog/imaging-key-component-cancer-data-ecosystem/
White Paper based on imaging informatics workshops
https://wiki.nci.nih.gov/x/3K-4Ew
Blog entry announcing the release of the white paper
https://ncip.nci.nih.gov/blog/imaging-key-component-cancer-data-ecosystem/
Function follows form: the paradigmatic potentialities of recommender systems and the role of paradata in effective user engagement with open education
Project ASTRO Reporting Success Stories and the Next Phase - BbWorld10ekunnen
This panel discussion will highlight several institutions that are using Project ASTRO on their production systems. Each institution will describe how Project ASTRO is being used to make data driven decisions for reporting, advocacy, targeted messaging, ROI, and more! The session will end with a review of the next phase of the Project ASTRO roadmap.
Education must capitalize on the trend within technology toward big data. New types of data are becoming available. From evidence approaches to xAPI and the whole Training and Learning Architecture(TLA) big data is the foundation of all.
Leveraging Academic Analytics in System Administration, Professional Developm...ekunnen
Identifying, collecting, reporting, and using system activity data from Blackboard is often a challenge. Come to this session to learn about a series of free Building Blocks that are available (such as bbStats and Project ASTRO) that enable you to collect, generate, and leverage reports of faculty and student activity in Blackboard.
Abstract
Mostly 5 to 15% of the women in the stage of reproduction face the disease called Polycystic Ovarian Syndrome (PCOS) which is the multifaceted, heterogeneous and complex. The long term consequences diseases like endometrial hyperplasia, type 2 diabetes mellitus and coronary disease are caused by the polycystic ovaries, chronic anovulation and hyperandrogenism are characterized with the resistance of insulin and the hypertension, abdominal obesity and dyslipidemia and hyperinsulinemia are called as Metabolic syndrome (frequent metabolic traits) The above cause the common disease called Anovulatory infertility. Computer based information along with advanced Data mining techniques are used for appropriate results. Classification is a classic data mining task, with roots in machine learning. Naïve Bayesian, Artificial Neural Network, Decision Tree, Support Vector Machines are the classification tasks in the data mining. Feature selection methods involve generation of the subset, evaluation of each subset, criteria for stopping the search and validation procedures. The characteristics of the search method used are important with respect to the time efficiency of the feature selection methods. PCA (Principle Component Analysis), Information gain Subset Evaluation, Fuzzy rough set evaluation, Correlation based Feature Selection (CFS) are some of the feature selection techniques, greedy first search, ranker etc are the search algorithms that are used in the feature selection. In this paper, a new algorithm which is based on Fuzzy neural subset evaluation and artificial neural network is proposed which reduces the task of classification and feature selection separately. This algorithm combines the neural fuzzy rough subset evaluation and artificial neural network together for the better performance than doing the tasks separately.
Keywords: ANN, SVM, PCA, CFS
Student Management Program SystemFINAL PROJECT Presentation.docxdeanmtaylor1545
Student Management Program System
FINAL PROJECT Presentation
Group 3:
Team Leader: Penny Belgarde
Ebony Cloud, Bhumikaben Desai, Victoria Nelson, and Godswill Njoku
Professor Beyer
BIT 559 – Systems Analysis
October 16, 2019
Section #1: System Request
Project Sponsor: Minot Programs Director and Advisor for Dakota College at Bottineau on Minot State University (MiSU) campus.
Business Need: Manage student and program data through an information system that will provide data management capabilities and analysis needed for meaningful and quality student advising and tracking of student programs that are unique to DCB on MiSU campus.
Business Requirements: Specific functionality that the system should have includes the following:
Input, select specific academic programs and general education requirements specific to each program, and process student data
Provide immediate access to student and program information
Capture student program and advising data through tracking for review, analysis, and making advising and program decisions
Integrate student email functions
Produce reports on specific program enrollment, student program progress, new or current students, students taking remedial courses
Business Value:
Increased student retention
One single advising process
Guarantee students placed in required program courses
Create advising efficiencies
Increase enrollment numbers
Conservative estimates of tangible value to the college include the following:
$37,000 in tuition and fee revenue from increased enrollment of 10 students
$4,000 - $5,000 in savings in hiring adjunct or faculty
$10,000 - $15,000 in additional state and federal funding for increased program completers
Special Issues or Constraints
To prevent low student retention, low enrollment and support the Director position, and assist with her overwhelming, very time consuming job responsibilities, and to retain and boost morale of anyone in this position by developing this information system to create efficiencies and time savings, this project should be completed as soon as possible.
Software: The software being used is Admissions to Alumni (A2A) to develop a tracking/database system for an ease of using the software.
Purpose: To initiate an effective way to manage student program data through an information system that will provide data management capabilities and analysis needed for meaningful and quality student advising and tracking of student programs that are unique to DCB on MiSU campus.
Specific Deliverables:
To develop a data collection approach used for students enrolled in programs, to have the ease of accessing and tracking a student’s enrollment.
The A2A software increases efficiency, productivity, effectiveness, decision making, communications, user satisfaction and overall work culture.
Implementation is a business process re-engineering in itself and has also helped in bringing human efforts, misunderstandings and frustra.
The Connecticut Distance Learning Consortium (CTDLC) provides eLearning services and support for multiple platforms including Angel, Blackboard, and Moodle for K-20+ institutions. The CTDLC will review how it assists institutions in evaluating which LMS product is appropriate for their current and forecasted needs.
Function follows form: the paradigmatic potentialities of recommender systems and the role of paradata in effective user engagement with open education
Project ASTRO Reporting Success Stories and the Next Phase - BbWorld10ekunnen
This panel discussion will highlight several institutions that are using Project ASTRO on their production systems. Each institution will describe how Project ASTRO is being used to make data driven decisions for reporting, advocacy, targeted messaging, ROI, and more! The session will end with a review of the next phase of the Project ASTRO roadmap.
Education must capitalize on the trend within technology toward big data. New types of data are becoming available. From evidence approaches to xAPI and the whole Training and Learning Architecture(TLA) big data is the foundation of all.
Leveraging Academic Analytics in System Administration, Professional Developm...ekunnen
Identifying, collecting, reporting, and using system activity data from Blackboard is often a challenge. Come to this session to learn about a series of free Building Blocks that are available (such as bbStats and Project ASTRO) that enable you to collect, generate, and leverage reports of faculty and student activity in Blackboard.
Abstract
Mostly 5 to 15% of the women in the stage of reproduction face the disease called Polycystic Ovarian Syndrome (PCOS) which is the multifaceted, heterogeneous and complex. The long term consequences diseases like endometrial hyperplasia, type 2 diabetes mellitus and coronary disease are caused by the polycystic ovaries, chronic anovulation and hyperandrogenism are characterized with the resistance of insulin and the hypertension, abdominal obesity and dyslipidemia and hyperinsulinemia are called as Metabolic syndrome (frequent metabolic traits) The above cause the common disease called Anovulatory infertility. Computer based information along with advanced Data mining techniques are used for appropriate results. Classification is a classic data mining task, with roots in machine learning. Naïve Bayesian, Artificial Neural Network, Decision Tree, Support Vector Machines are the classification tasks in the data mining. Feature selection methods involve generation of the subset, evaluation of each subset, criteria for stopping the search and validation procedures. The characteristics of the search method used are important with respect to the time efficiency of the feature selection methods. PCA (Principle Component Analysis), Information gain Subset Evaluation, Fuzzy rough set evaluation, Correlation based Feature Selection (CFS) are some of the feature selection techniques, greedy first search, ranker etc are the search algorithms that are used in the feature selection. In this paper, a new algorithm which is based on Fuzzy neural subset evaluation and artificial neural network is proposed which reduces the task of classification and feature selection separately. This algorithm combines the neural fuzzy rough subset evaluation and artificial neural network together for the better performance than doing the tasks separately.
Keywords: ANN, SVM, PCA, CFS
Student Management Program SystemFINAL PROJECT Presentation.docxdeanmtaylor1545
Student Management Program System
FINAL PROJECT Presentation
Group 3:
Team Leader: Penny Belgarde
Ebony Cloud, Bhumikaben Desai, Victoria Nelson, and Godswill Njoku
Professor Beyer
BIT 559 – Systems Analysis
October 16, 2019
Section #1: System Request
Project Sponsor: Minot Programs Director and Advisor for Dakota College at Bottineau on Minot State University (MiSU) campus.
Business Need: Manage student and program data through an information system that will provide data management capabilities and analysis needed for meaningful and quality student advising and tracking of student programs that are unique to DCB on MiSU campus.
Business Requirements: Specific functionality that the system should have includes the following:
Input, select specific academic programs and general education requirements specific to each program, and process student data
Provide immediate access to student and program information
Capture student program and advising data through tracking for review, analysis, and making advising and program decisions
Integrate student email functions
Produce reports on specific program enrollment, student program progress, new or current students, students taking remedial courses
Business Value:
Increased student retention
One single advising process
Guarantee students placed in required program courses
Create advising efficiencies
Increase enrollment numbers
Conservative estimates of tangible value to the college include the following:
$37,000 in tuition and fee revenue from increased enrollment of 10 students
$4,000 - $5,000 in savings in hiring adjunct or faculty
$10,000 - $15,000 in additional state and federal funding for increased program completers
Special Issues or Constraints
To prevent low student retention, low enrollment and support the Director position, and assist with her overwhelming, very time consuming job responsibilities, and to retain and boost morale of anyone in this position by developing this information system to create efficiencies and time savings, this project should be completed as soon as possible.
Software: The software being used is Admissions to Alumni (A2A) to develop a tracking/database system for an ease of using the software.
Purpose: To initiate an effective way to manage student program data through an information system that will provide data management capabilities and analysis needed for meaningful and quality student advising and tracking of student programs that are unique to DCB on MiSU campus.
Specific Deliverables:
To develop a data collection approach used for students enrolled in programs, to have the ease of accessing and tracking a student’s enrollment.
The A2A software increases efficiency, productivity, effectiveness, decision making, communications, user satisfaction and overall work culture.
Implementation is a business process re-engineering in itself and has also helped in bringing human efforts, misunderstandings and frustra.
The Connecticut Distance Learning Consortium (CTDLC) provides eLearning services and support for multiple platforms including Angel, Blackboard, and Moodle for K-20+ institutions. The CTDLC will review how it assists institutions in evaluating which LMS product is appropriate for their current and forecasted needs.
Stacked Generalization of Random Forest and Decision Tree Techniques for Libr...IJEACS
The huge amount of library data stored in our modern research and statistic centers of organizations is springing up on daily bases. These databases grow exponentially in size with respect to time, it becomes exceptionally difficult to easily understand the behavior and interpret data with the relationships that exist between attributes. This exponential growth of data poses new organizational challenges like the conventional record management system infrastructure could no longer cope to give precise and detailed information about the behavior data over time. There is confusion and novel concern in selecting tools that can support and handle big data visualization that deals with multi-dimension. Viewing all related data at once in a database is a problem that has attracted the interest of data professionals with machine learning skills. This is a lingering issue in the data industry because the existing techniques cannot be used to remove or filter noise from relevant data and pad up missing values in order to get the required information. The aim is to develop a stacked generalization model that combines the functionality of random forest and decision tree to visualization library database visualization. In this paper, the random forest and decision tree techniques were employed to effectively visualize large amounts of school library data. The proposed system was implemented with a few lines of Python code to create visualizations that can help users at a glance understand and interpret the behavior of data and its relationships. The model was trained and tested to learn and extract hidden patterns of data with a cross-validation test. It combined the functionalities of both models to form a stacked generalization model that performed better than the individual techniques. The stacked model produced 95% followed by the RF which produced a 95% accuracy rate and 0.223600 RMSE error value in comparison with the DT which recorded an 80.00% success rate and 0.15990 RMSE value.
Leveraging data driven decision making to drive student success, retention, a...ekunnen
Learn from four institutions that are using data-driven decision-making to streamline data collection, support student success and retention initiatives, scale accessibility, and increase campus-wide collaboration.
Outcomes: Gain insight from an unprecedented data set around content accessibility and UDL in the LMS * Complete an “Accessibility Strategizer” as a first step to catalyze a culture shift toward inclusion * Learn strategies in using data integration to support student success and retention initiatives * Discover ways to use student data not just for institutional reporting or service improvement but also to benefit individual students and increase campus collaboration
A presentation about how GVSU has deployed Blackboard Ally as a solution to assist in creating an inclusive educational learning environment for students.
Blackboard BITS - Improving Student Engagement and Retention Through the Comm...ekunnen
Student engagement and retention continues to be central as a success measure in higher education. The Community of Inquiry (COI) Framework provides an opportunity to focus on learning as a result of interaction of social, cognitive, and teaching presence. Through purposeful instructional design, the students' educational experience can lead to higher satisfaction and better learning through active engagement and the application of COI.
#BbWorld17 - DevCon: Managed Hosting, Does it work? Will I get access to my d...ekunnen
University of Illinois at Chicago adopted the managed hosting environment in 2012 and has been successful in important user support improvements and stability of operations. While employing GAs and undergraduate students in the support structure the resolution time for Blackboard tickets was reduced from two weeks to a few hours. Deep integrations have been created for event driven user synchronization. A number of OSCELOT projects are being sponsored and developed in a staging managed hosted system. The experience and collaboration with managed hosted team allowed for strong support of Blackboard Learn adoption on campus. The panel will include representative from Grand Valley State University, where initial deployment to Managed Hosting was later reversed to again become self-hosted.
Emerging Technologies and Expanding Possibilities through the Technology Show...ekunnen
Slides from #EDU15 Panel: Working with Emerging Technologies to Promote Engaging Learning
Abstract: This dynamic preconference seminar features 12 speakers who will each present their approach to effectively working with emerging technologies to support teaching and learning. The session begins with a brief overview of emerging technology trends and will continue with segments on how to support evidence-based emerging technology work, and with examples of effective emerging technologies being used or piloted today. The seminar also includes two discussion sessions with members of the 7 Things You Should Know About publication advisory team and with those working with 3D Printers, Makerspaces, and BYOD initiatives.
ELI Online Fall Focus Session - RADICALLY STUDENT-CENTERED DESIGN AND THE NEW...ekunnen
Grand Valley State University embraced a radical new vision when it designed its new library, which opened in June 2013. At its core was the intention to create a learning and information commons that: (1) aligned with students' preferred learning environments, (2) allowed students to manage their own learning, and (3) engaged students in serendipitous moments of learning and discovery. Among the features of the new library is the Technology Showcase, where students and faculty come together to discover, interact, share, and learn how innovative emerging technologies can transform teaching and learning.
Wireless Presentation Systems: Ad Hoc and Enterprise Solutions for the Intera...ekunnen
Together we will EXPLORE a variety of wireless presentation technologies (hardware and software) that provide faculty and students with an engaging, flexible, and interactive classroom experience.
We will be able to EXPERIMENT with several technologies using a tablet or laptop for hands-on exploration.
For this seminar, we are attempting to narrow the focus to a series of tools that can provide a screen mirroring solution.
BbWorld 2013 - Learning Analytics: A Journey to Implementationekunnen
This session will focus on the strategy used for the selection, implementation, and deployment of Blackboard Analytics for Blackboard LearnTM at Grand Rapids Community College. Participants in this session will learn first hand from the
CIO, Director of Enterprise Applications, and the Director of Distance Learning and Instructional Technologies about the need for analytics, the power of a data warehouse, the implementation of the system, and finally the opportunities that data provides as the college focuses on improving student success, completion, return on investment, and leveraging data to make strategic campus decisions.
Leveraging demographic data along with campus organizational structures in the student information system alongside student and faculty activities in Blackboard presents opportunities never before possible.
In theory, most learners are mobile. Many have a smart phone, tablet, netbook or laptop. Are they actually engaged in mobile learning? Are we providing content for the mobile environment? Come hear how one community college (GRCC) sees the "State of the (Mobile) Union!" Participants will get an opportunity to try new mobile apps and use the iPad, iPhone and other mobile technologies. They will also get to experience and share examples of mobile learning.
Using NBC News Videos in Blackboard Learn to Enliven Instruction and Increase...ekunnen
We will demonstrate how Grand Rapids Community College uses the NBC News Blackboard Building Block in Blackboard Learn to access NBC News Archives on Demand and bring relevant, engaging multimedia content into the classroom.
Using Analytics to Intervene with Underperforming College Studentsekunnen
Abstract: Data mining is typically associated with business and marketing. For example, Amazon uses people's past purchases to suggest books they might be interested in buying. Similarly, academic analytics can be used to identify and predict students who might be at risk, by analyzing demographic and performance data of former students. However, there is no clear consensus on how to intervene with current students in a way they will accept and not associate with academic "profiling." Why should students think they are exceptions to our rules? This panel presentation will share how three institutions are approaching this problem and provide an overview of related issues.
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
buy old yahoo accounts buy yahoo accountsSusan Laney
As a business owner, I understand the importance of having a strong online presence and leveraging various digital platforms to reach and engage with your target audience. One often overlooked yet highly valuable asset in this regard is the humble Yahoo account. While many may perceive Yahoo as a relic of the past, the truth is that these accounts still hold immense potential for businesses of all sizes.
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
Event Report - SAP Sapphire 2024 Orlando - lots of innovation and old challengesHolger Mueller
Holger Mueller of Constellation Research shares his key takeaways from SAP's Sapphire confernece, held in Orlando, June 3rd till 5th 2024, in the Orange Convention Center.
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
FIA officials brutally tortured innocent and snatched 200 Bitcoins of worth 4...jamalseoexpert1978
Farman Ayaz Khattak and Ehtesham Matloob are government officials in CTW Counter terrorism wing Islamabad, in Federal Investigation Agency FIA Headquarters. CTW and FIA kidnapped crypto currency owner from Islamabad and snatched 200 Bitcoins those worth of 4 billion rupees in Pakistan currency. There is not Cryptocurrency Regulations in Pakistan & CTW is official dacoit and stealing digital assets from the innocent crypto holders and making fake cases of terrorism to keep them silent.
Recruiting in the Digital Age: A Social Media MasterclassLuanWise
In this masterclass, presented at the Global HR Summit on 5th June 2024, Luan Wise explored the essential features of social media platforms that support talent acquisition, including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok.
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