To augment the Blurredness of Fake content and promote the Internet of Truth in supporting Students & Academicians get the True colors of Every information online.
The schools and libraries program of the universal fundsommerkemi
The document discusses the Schools and Libraries Program of the Universal Service Fund (E-Rate), which provides discounts of 20-90% on telecommunications services, internet access, and technology for schools and libraries. It outlines Lamar CISD's technology plan, which focuses on integrating technology into the curriculum to support ongoing learning. The plan assesses staff technology skills, offers training, integrates technology into instruction, and shares data to address infrastructure needs and involve the community in technology initiatives.
The document proposes developing a centralized online learning system for design colleges in India. It would allow students to access course materials and interact with peers and experts anywhere through discussion forums and an e-library. The system would be accessible through login and maintain different access levels for students, faculty and guests. It would source content from registered colleges and notifies users about new materials. The document outlines requirements, hardware/software needs, feasibility analysis and proposed budget for the system.
This study aims to explore the professional development needs of faculty at Eastern Mediterranean University in teaching and learning, and the effectiveness of ICT-based models implemented to meet those needs. The research questions ask about faculty needs for professional development, how those needs may vary based on demographics, and faculty beliefs about professional development and ICT-based learning opportunities. The methodology will involve surveys of 600 faculty to assess needs and beliefs, then introduce an ICT-based model and invite volunteers to participate.
The document summarizes a presentation by the Instructional Technology Referral Office (InTRO) at the University of Oregon (UO) on trends in digital education at comparator institutions. It finds that most comparators have centralized units for distance education, faculty development, online education, and educational technology. When educational technology administers the learning management system, digital innovation is limited. Institutions leading in digital education follow strategic visions tied to planning and objectives. The presentation proposes further research on comparators and outlines an annual report on InTRO, comparator findings, an inventory of service providers, observations, and conclusions.
The document discusses Mansfield ISD's technology plan and use of E-Rate funding. It provides an overview of the E-Rate program, which provides discounts for telecommunications access to schools. It explains that technology plans outline districts' strategies for technology implementation and integration. Mansfield ISD's plan focuses on equity, instruction, professional development, and infrastructure. The district evaluates progress using a STaR chart system to monitor implementation at each school.
Hot Jobs: Application Programmer for UC Berkeley's College of Letters & Scien...Justin Fiske
The job announcement summarizes an opening for an Application Programmer position in the Office of Undergraduate Advising at UC Berkeley. The position involves working on a team to create and extend existing student advising systems using technologies like JavaScript, HTML, CSS, MySQL, and MongoDB. Responsibilities include analyzing workflows, designing systems, coding, testing, and providing technical support. The ideal candidate has strong hands-on experience with web technologies and data management systems, proven coding skills, and ability to work with both technical and non-technical teams. A Bachelor's degree and experience with technologies like Node.js are preferred.
This project aims to assess information literacy as a core competency for graduating students at Anne Arundel Community College. The college's assessment plan requires evaluating all ten core competencies, including information literacy, over three semesters. For information literacy, the assessment will analyze student work samples using a rubric, survey faculty about how they teach and assess these skills, and examine the curriculum map to see where opportunities exist for students to develop these abilities before graduating. The results are intended to identify any changes needed to research assignments, curriculum mapping, programs, or broader use of assessment tools and library resources to strengthen students' information literacy.
The document provides criteria for evaluating instructional software and web resources. It outlines 7 categories for software evaluation: 1) content, 2) design, 3) ability levels, 4) assessment, 5) ease of use, 6) technical quality, and 7) documentation and support. It also lists 4 criteria for evaluating web resources: 1) authority, 2) affiliation, 3) purpose and objectivity, and 4) content, learning process, audience and currency. The evaluation criteria focus on ensuring the accuracy, appropriateness and usability of content for students.
The schools and libraries program of the universal fundsommerkemi
The document discusses the Schools and Libraries Program of the Universal Service Fund (E-Rate), which provides discounts of 20-90% on telecommunications services, internet access, and technology for schools and libraries. It outlines Lamar CISD's technology plan, which focuses on integrating technology into the curriculum to support ongoing learning. The plan assesses staff technology skills, offers training, integrates technology into instruction, and shares data to address infrastructure needs and involve the community in technology initiatives.
The document proposes developing a centralized online learning system for design colleges in India. It would allow students to access course materials and interact with peers and experts anywhere through discussion forums and an e-library. The system would be accessible through login and maintain different access levels for students, faculty and guests. It would source content from registered colleges and notifies users about new materials. The document outlines requirements, hardware/software needs, feasibility analysis and proposed budget for the system.
This study aims to explore the professional development needs of faculty at Eastern Mediterranean University in teaching and learning, and the effectiveness of ICT-based models implemented to meet those needs. The research questions ask about faculty needs for professional development, how those needs may vary based on demographics, and faculty beliefs about professional development and ICT-based learning opportunities. The methodology will involve surveys of 600 faculty to assess needs and beliefs, then introduce an ICT-based model and invite volunteers to participate.
The document summarizes a presentation by the Instructional Technology Referral Office (InTRO) at the University of Oregon (UO) on trends in digital education at comparator institutions. It finds that most comparators have centralized units for distance education, faculty development, online education, and educational technology. When educational technology administers the learning management system, digital innovation is limited. Institutions leading in digital education follow strategic visions tied to planning and objectives. The presentation proposes further research on comparators and outlines an annual report on InTRO, comparator findings, an inventory of service providers, observations, and conclusions.
The document discusses Mansfield ISD's technology plan and use of E-Rate funding. It provides an overview of the E-Rate program, which provides discounts for telecommunications access to schools. It explains that technology plans outline districts' strategies for technology implementation and integration. Mansfield ISD's plan focuses on equity, instruction, professional development, and infrastructure. The district evaluates progress using a STaR chart system to monitor implementation at each school.
Hot Jobs: Application Programmer for UC Berkeley's College of Letters & Scien...Justin Fiske
The job announcement summarizes an opening for an Application Programmer position in the Office of Undergraduate Advising at UC Berkeley. The position involves working on a team to create and extend existing student advising systems using technologies like JavaScript, HTML, CSS, MySQL, and MongoDB. Responsibilities include analyzing workflows, designing systems, coding, testing, and providing technical support. The ideal candidate has strong hands-on experience with web technologies and data management systems, proven coding skills, and ability to work with both technical and non-technical teams. A Bachelor's degree and experience with technologies like Node.js are preferred.
This project aims to assess information literacy as a core competency for graduating students at Anne Arundel Community College. The college's assessment plan requires evaluating all ten core competencies, including information literacy, over three semesters. For information literacy, the assessment will analyze student work samples using a rubric, survey faculty about how they teach and assess these skills, and examine the curriculum map to see where opportunities exist for students to develop these abilities before graduating. The results are intended to identify any changes needed to research assignments, curriculum mapping, programs, or broader use of assessment tools and library resources to strengthen students' information literacy.
The document provides criteria for evaluating instructional software and web resources. It outlines 7 categories for software evaluation: 1) content, 2) design, 3) ability levels, 4) assessment, 5) ease of use, 6) technical quality, and 7) documentation and support. It also lists 4 criteria for evaluating web resources: 1) authority, 2) affiliation, 3) purpose and objectivity, and 4) content, learning process, audience and currency. The evaluation criteria focus on ensuring the accuracy, appropriateness and usability of content for students.
This document discusses the performance measurement requirements for core programs under the Workforce Innovation and Opportunity Act (WIOA). It outlines six common performance measures that will apply across Youth, Adult, Dislocated Worker and Wagner-Peyser programs, including entered employment, retention, median earnings, credential attainment, and measurable skill gains. It also notes a new required performance measure related to effectiveness of services to employers. Key changes from previous measures include additional lags in reporting employment outcomes, a shift to measuring median rather than average earnings, and assessing skill gains for participants while enrolled rather than at exit.
The International Software Engineering Research Network is pleased to announce theavailability of funding to assist graduate students in attending Empirical Software EngineeringInternational Week (ESEIW) events, specifically IDoESE, IASESE, and ESEM. Travel grantsare available in amounts up to US$2500 and can be used to reimburse up to 80% of documentedtravel expenses (transportation, hotel, registration, and/or meals) for attending either IDoESE orIASESE, and the ESEM conference.
Schools and libraries slide presentationjvaughn2931
The document discusses the Schools and Libraries Program of the Universal Service Fund (E-rate). It provides discounted telecommunications, internet access, and internal connections to eligible schools and libraries. Schools develop technology plans and apply to the program. Vendors then bid to provide the requested services, and are reimbursed by the Universal Service Fund if selected. The fund receives contributions from telecommunications providers based on a percentage of their revenues.
EDUMAAT is an educational analytics platform that can help institutions and students. It collects real-time student data like grades, attendance, socioeconomic background, and more. This data enables institutions to identify students' strengths and weaknesses, track their academic progress, and predict future performance. It also allows schools to offer customized courses and catch students up on foundational skills. In the future, educational institutions' success will increasingly depend on analyzing student data to improve learning outcomes for students and the sustainability of the institution. EDUMAAT aims to create a collaborative learning environment that helps both achieve their goals.
Diversity Recruitment with Rice UniversityBen Ernsperger
SelectSuite modules can be used to enhance diversity workforce recruitment effectiveness in three key ways:
1) By establishing standards for job classifications and including AAP targets in job classifications to minimize implicit bias and alert hiring managers.
2) By raising awareness of AAP goals, training recruiters and managers to avoid bias, and using department EEO reports to monitor applicant pool diversity.
3) By tweaking the applicant portal design and harnessing SelectSuite analytics to continuously monitor and improve diversity recruitment.
The document discusses comprehensive standards 3.8.1, 3.8.2, and 3.8.3 regarding facilities, services, learning resources, and staffing that institutions must provide to support their missions. It notes the distinction between simply adequate and fully appropriate and sufficient resources. Rationales provided indicate that the university under discussion ensures users can access instruction on resources and that its library instruction program supports its goals, but that current understaffing impacts potential effectiveness.
This document provides an introduction and overview of conducting a SWOT analysis in higher education. It discusses the objective of using SWOT analysis for planning new programs, allocating resources, and improving efficiency. The document then gives examples of SWOT analyses conducted at various universities, including Corvinus University of Budapest. It analyzes CUB's strengths in areas like its name and location, weaknesses like understaffing, opportunities like online education, and threats like decreased funding and increased competition. The document stresses the importance of diversity in SWOT analyses and using the results to identify opportunities based on strengths and ways to mitigate risks.
This document summarizes sample analytics from an engineering college that used TRUECOPY to track alumni data. Some key points:
- 303 students applied for transcripts in 2015, which were sent to 119 universities. 543 transcripts were delivered total.
- 70% of applicants were alumni, 30% current students. Computer engineering and information technology saw most applicants.
- Applicant numbers increased across most departments from 2014 to 2015.
- Top universities that received transcripts included Stanford, USC, UC schools, Purdue and more.
- Over a third of transcripts were sent to universities ranked in the global top 25, showing alumni success.
Swot Analysis on Northern University BangladeshAl Shahriar
Northern University Bangladesh has several strengths including its popularity among students, affordable tuition, optimal class sizes taught by full-time faculty, and expertise in teaching non-traditional students. However, it also has some weaknesses such as underfunding of departments, lack of financial support for faculty, and insufficient library resources. There are opportunities for NUB like offering continuing education programs, online courses, and partnering with local employers. Threats include reduced public funding, losing faculty to other opportunities, and growing competition from new universities.
The document discusses key features of Australia's vocational education and training (VET) system. The VET system benefits students by providing learning opportunities, industry by ensuring a responsive and skilled workforce, and training providers through national standards and regulations. Key statistics are provided on the size and funding of the VET sector. Units of competency link industry needs with training, and balancing the needs of students, industry, and providers is important for the system's success.
Student’s Career Interest Prediction using Machine LearningIRJET Journal
This document discusses various machine learning techniques for predicting students' career interests. It begins with an abstract describing the challenges students face in choosing careers and how machine learning can help by predicting interests based on a student's academic and extracurricular history. It then reviews related work applying machine learning algorithms like SVM, random forest decision trees, and XGBoost for career recommendations. The document compares the performance of these algorithms on different datasets and identifies decision trees and SVM as commonly used techniques. It outlines several algorithms studied, including one-hot encoding to prepare categorical data for machine learning models.
Educational institutions are collecting large amounts of data but not effectively using it. Data analytics can help institutions increase profits, reduce dropout rates, and gain competitive advantages by better understanding student performance, identifying at-risk students, and tailoring education to individual needs. Analyzing academic, financial, and operational data through data analytics allows for targeted strategies, performance management, personalized education, and improved curriculum. This helps schools achieve goals of customizing learning and personalizing instruction for each student.
IRJET - Recommendation of Branch of Engineering using Machine LearningIRJET Journal
This document describes a machine learning system that recommends engineering branches to students based on their scores. It uses K-nearest neighbors and collaborative filtering techniques. The system aims to help students select an engineering branch that matches their abilities and reduces confusion. It analyzes student data like marks to make personalized recommendations. The document reviews similar existing recommendation systems and the techniques they use. The proposed system seeks to guide students towards suitable engineering fields and reduce the workload on counselors.
Ellen Wagner, Executive Director, WCET.
Putting Data to Work
This session explores changing data sensibilities at US post-secondary institutions with particular attention paid to how predictive analytics are changing expectations for institutional accountability and student success. Results from the Predictive Analytics Reporting Framework show that predictive modeling can identify students at risk and that linking behavioral predictions of risk with interventions to mitigate those risks at the point of need is a powerful strategy for increasing rates of student retention, academic progress and completion.
presentation at the 15th annual SLN SOLsummit February 27, 2014
http://slnsolsummit2014.edublogs.org/
A WEB BASED APPLICATION FOR TUTORING SUPPORT IN HIGHER EDUCATION USING EDUCAT...IRJET Journal
This document describes a web-based application for tutoring support in higher education using educational data mining. The application aims to help students select appropriate colleges based on previous college cut-off performances. It uses data mining techniques to predict colleges based on attributes like student aggregate percentage, category, branch, and college information from previous years. The application has three modules - Admin, College, and Student. Colleges can register and provide cut-off details. Students can search for matching colleges based on their profile. The document discusses the literature review, system design, algorithms, and results of the study. It aims to minimize student confusion and help them select colleges without losing admission opportunities.
The document discusses how employment and salary data is becoming increasingly important for institutions to collect and report. It outlines different available data sources such as federal surveys, alumni surveys, and state reporting requirements. The i3 Group is presented as a solution that uses location-discovery technology and experienced counselors to conduct surveys of alumni and provide detailed student-level response data to institutions. Examples of analyses that can be performed on the data are provided, such as comparing average salaries by employment type or industry, and metrics like net promoter scores. Key benefits of working with i3 Group include high response rates, helping with compliance reporting needs, and enabling continuous improvement.
Serving All Students: A Survey of Learner Mindsets from Age 16 to 65+accenture
Accenture research has identified six learner segments. Explore the segments and how colleges and universities can better serve them. https://accntu.re/3C8fiJT
This document discusses how analytics can be used to improve student success. It begins by describing a session that shows how analytics identify opportunities to improve student success. Participants will learn how to connect predictions of risk to interventions most likely to work under different conditions. The document then discusses how data is changing education and how analytics can be applied in areas like enrollment management, student services, and program design. It provides examples of how predictive analytics have been used at various institutions to improve retention, successful course completion, and graduation rates. The document emphasizes linking predictions of risk to specific interventions and measuring the impact and ROI of different interventions.
This document summarizes a presentation about how data and predictive analytics are changing expectations around accountability and student success in post-secondary education. It discusses how predictive modeling can identify at-risk students, but predicting risk is not enough - institutions must also link predictions to interventions. The presentation also explores opportunities to generate new insights from data and leverage online learning to fulfill its promise by embracing analytics. The PAR Framework collaborative aims to help institutions improve effectiveness and outcomes through common data definitions, benchmarks, predictive models, and an intervention inventory tool.
As you begin to wrap up (or work on!) your 2017 fiscal year planning, it's important to buckle down on what works while shift resources away from lower performing investments.
We understand that most institutions are under pressure to do more with less, while at the same time students are under pressure to not only find their best fit match but also succeed and pay for it. That is why we've revamped a number of our tools to assist institutions with finding, engaging, and converting prospects throughout the recruitment process.
This presentation will focus on high impact strategies including:
Name buy options that support any strategy and budget
Digital and mobile marketing strategies to boost conversion and yield
Branding strategies to help tell your success stories and put your best foot forward across the web
All registrants will receive a customized competitive intelligence report that showcases student demand and perspectives of their institution across the web to help inform digital marketing strategies.
This document discusses the performance measurement requirements for core programs under the Workforce Innovation and Opportunity Act (WIOA). It outlines six common performance measures that will apply across Youth, Adult, Dislocated Worker and Wagner-Peyser programs, including entered employment, retention, median earnings, credential attainment, and measurable skill gains. It also notes a new required performance measure related to effectiveness of services to employers. Key changes from previous measures include additional lags in reporting employment outcomes, a shift to measuring median rather than average earnings, and assessing skill gains for participants while enrolled rather than at exit.
The International Software Engineering Research Network is pleased to announce theavailability of funding to assist graduate students in attending Empirical Software EngineeringInternational Week (ESEIW) events, specifically IDoESE, IASESE, and ESEM. Travel grantsare available in amounts up to US$2500 and can be used to reimburse up to 80% of documentedtravel expenses (transportation, hotel, registration, and/or meals) for attending either IDoESE orIASESE, and the ESEM conference.
Schools and libraries slide presentationjvaughn2931
The document discusses the Schools and Libraries Program of the Universal Service Fund (E-rate). It provides discounted telecommunications, internet access, and internal connections to eligible schools and libraries. Schools develop technology plans and apply to the program. Vendors then bid to provide the requested services, and are reimbursed by the Universal Service Fund if selected. The fund receives contributions from telecommunications providers based on a percentage of their revenues.
EDUMAAT is an educational analytics platform that can help institutions and students. It collects real-time student data like grades, attendance, socioeconomic background, and more. This data enables institutions to identify students' strengths and weaknesses, track their academic progress, and predict future performance. It also allows schools to offer customized courses and catch students up on foundational skills. In the future, educational institutions' success will increasingly depend on analyzing student data to improve learning outcomes for students and the sustainability of the institution. EDUMAAT aims to create a collaborative learning environment that helps both achieve their goals.
Diversity Recruitment with Rice UniversityBen Ernsperger
SelectSuite modules can be used to enhance diversity workforce recruitment effectiveness in three key ways:
1) By establishing standards for job classifications and including AAP targets in job classifications to minimize implicit bias and alert hiring managers.
2) By raising awareness of AAP goals, training recruiters and managers to avoid bias, and using department EEO reports to monitor applicant pool diversity.
3) By tweaking the applicant portal design and harnessing SelectSuite analytics to continuously monitor and improve diversity recruitment.
The document discusses comprehensive standards 3.8.1, 3.8.2, and 3.8.3 regarding facilities, services, learning resources, and staffing that institutions must provide to support their missions. It notes the distinction between simply adequate and fully appropriate and sufficient resources. Rationales provided indicate that the university under discussion ensures users can access instruction on resources and that its library instruction program supports its goals, but that current understaffing impacts potential effectiveness.
This document provides an introduction and overview of conducting a SWOT analysis in higher education. It discusses the objective of using SWOT analysis for planning new programs, allocating resources, and improving efficiency. The document then gives examples of SWOT analyses conducted at various universities, including Corvinus University of Budapest. It analyzes CUB's strengths in areas like its name and location, weaknesses like understaffing, opportunities like online education, and threats like decreased funding and increased competition. The document stresses the importance of diversity in SWOT analyses and using the results to identify opportunities based on strengths and ways to mitigate risks.
This document summarizes sample analytics from an engineering college that used TRUECOPY to track alumni data. Some key points:
- 303 students applied for transcripts in 2015, which were sent to 119 universities. 543 transcripts were delivered total.
- 70% of applicants were alumni, 30% current students. Computer engineering and information technology saw most applicants.
- Applicant numbers increased across most departments from 2014 to 2015.
- Top universities that received transcripts included Stanford, USC, UC schools, Purdue and more.
- Over a third of transcripts were sent to universities ranked in the global top 25, showing alumni success.
Swot Analysis on Northern University BangladeshAl Shahriar
Northern University Bangladesh has several strengths including its popularity among students, affordable tuition, optimal class sizes taught by full-time faculty, and expertise in teaching non-traditional students. However, it also has some weaknesses such as underfunding of departments, lack of financial support for faculty, and insufficient library resources. There are opportunities for NUB like offering continuing education programs, online courses, and partnering with local employers. Threats include reduced public funding, losing faculty to other opportunities, and growing competition from new universities.
The document discusses key features of Australia's vocational education and training (VET) system. The VET system benefits students by providing learning opportunities, industry by ensuring a responsive and skilled workforce, and training providers through national standards and regulations. Key statistics are provided on the size and funding of the VET sector. Units of competency link industry needs with training, and balancing the needs of students, industry, and providers is important for the system's success.
Student’s Career Interest Prediction using Machine LearningIRJET Journal
This document discusses various machine learning techniques for predicting students' career interests. It begins with an abstract describing the challenges students face in choosing careers and how machine learning can help by predicting interests based on a student's academic and extracurricular history. It then reviews related work applying machine learning algorithms like SVM, random forest decision trees, and XGBoost for career recommendations. The document compares the performance of these algorithms on different datasets and identifies decision trees and SVM as commonly used techniques. It outlines several algorithms studied, including one-hot encoding to prepare categorical data for machine learning models.
Educational institutions are collecting large amounts of data but not effectively using it. Data analytics can help institutions increase profits, reduce dropout rates, and gain competitive advantages by better understanding student performance, identifying at-risk students, and tailoring education to individual needs. Analyzing academic, financial, and operational data through data analytics allows for targeted strategies, performance management, personalized education, and improved curriculum. This helps schools achieve goals of customizing learning and personalizing instruction for each student.
IRJET - Recommendation of Branch of Engineering using Machine LearningIRJET Journal
This document describes a machine learning system that recommends engineering branches to students based on their scores. It uses K-nearest neighbors and collaborative filtering techniques. The system aims to help students select an engineering branch that matches their abilities and reduces confusion. It analyzes student data like marks to make personalized recommendations. The document reviews similar existing recommendation systems and the techniques they use. The proposed system seeks to guide students towards suitable engineering fields and reduce the workload on counselors.
Ellen Wagner, Executive Director, WCET.
Putting Data to Work
This session explores changing data sensibilities at US post-secondary institutions with particular attention paid to how predictive analytics are changing expectations for institutional accountability and student success. Results from the Predictive Analytics Reporting Framework show that predictive modeling can identify students at risk and that linking behavioral predictions of risk with interventions to mitigate those risks at the point of need is a powerful strategy for increasing rates of student retention, academic progress and completion.
presentation at the 15th annual SLN SOLsummit February 27, 2014
http://slnsolsummit2014.edublogs.org/
A WEB BASED APPLICATION FOR TUTORING SUPPORT IN HIGHER EDUCATION USING EDUCAT...IRJET Journal
This document describes a web-based application for tutoring support in higher education using educational data mining. The application aims to help students select appropriate colleges based on previous college cut-off performances. It uses data mining techniques to predict colleges based on attributes like student aggregate percentage, category, branch, and college information from previous years. The application has three modules - Admin, College, and Student. Colleges can register and provide cut-off details. Students can search for matching colleges based on their profile. The document discusses the literature review, system design, algorithms, and results of the study. It aims to minimize student confusion and help them select colleges without losing admission opportunities.
The document discusses how employment and salary data is becoming increasingly important for institutions to collect and report. It outlines different available data sources such as federal surveys, alumni surveys, and state reporting requirements. The i3 Group is presented as a solution that uses location-discovery technology and experienced counselors to conduct surveys of alumni and provide detailed student-level response data to institutions. Examples of analyses that can be performed on the data are provided, such as comparing average salaries by employment type or industry, and metrics like net promoter scores. Key benefits of working with i3 Group include high response rates, helping with compliance reporting needs, and enabling continuous improvement.
Serving All Students: A Survey of Learner Mindsets from Age 16 to 65+accenture
Accenture research has identified six learner segments. Explore the segments and how colleges and universities can better serve them. https://accntu.re/3C8fiJT
This document discusses how analytics can be used to improve student success. It begins by describing a session that shows how analytics identify opportunities to improve student success. Participants will learn how to connect predictions of risk to interventions most likely to work under different conditions. The document then discusses how data is changing education and how analytics can be applied in areas like enrollment management, student services, and program design. It provides examples of how predictive analytics have been used at various institutions to improve retention, successful course completion, and graduation rates. The document emphasizes linking predictions of risk to specific interventions and measuring the impact and ROI of different interventions.
This document summarizes a presentation about how data and predictive analytics are changing expectations around accountability and student success in post-secondary education. It discusses how predictive modeling can identify at-risk students, but predicting risk is not enough - institutions must also link predictions to interventions. The presentation also explores opportunities to generate new insights from data and leverage online learning to fulfill its promise by embracing analytics. The PAR Framework collaborative aims to help institutions improve effectiveness and outcomes through common data definitions, benchmarks, predictive models, and an intervention inventory tool.
As you begin to wrap up (or work on!) your 2017 fiscal year planning, it's important to buckle down on what works while shift resources away from lower performing investments.
We understand that most institutions are under pressure to do more with less, while at the same time students are under pressure to not only find their best fit match but also succeed and pay for it. That is why we've revamped a number of our tools to assist institutions with finding, engaging, and converting prospects throughout the recruitment process.
This presentation will focus on high impact strategies including:
Name buy options that support any strategy and budget
Digital and mobile marketing strategies to boost conversion and yield
Branding strategies to help tell your success stories and put your best foot forward across the web
All registrants will receive a customized competitive intelligence report that showcases student demand and perspectives of their institution across the web to help inform digital marketing strategies.
The document proposes a platform called Skill-Scout to help bridge the gap between higher education and workforce needs. Skill-Scout will collect data on in-demand job skills from employers, generate curriculum around those skills, and provide the curriculum and a feedback loop to universities. The goal is to better prepare students for the workforce by making classroom learning more relevant to real-world skills.
Best practices SmarterMeasure Learning Readiness Indicator WebinarSmarterServices Owen
This document provides an agenda and information from a webinar on best practices for using data-driven eLearning applications. The webinar featured speakers from several colleges discussing their implementation and use of SmarterMeasure's Learning Readiness Indicator. The webinar covered topics such as integrating the indicator into orientation courses, using the data to identify at-risk students, individualizing student support, and conducting research on the tool's impact. Overall, the webinar provided guidance and examples for how institutions can effectively utilize readiness data to improve student outcomes.
The document discusses CENTSS, a partnership between educational organizations that provides tools and training to help institutions develop and deliver quality online student services. CENTSS expanded an existing research project on best practices in online student services. It launched in 2005 and provides resources, models of best practices, workshops, and a 200-item online student services audit tool used by over 200 institutions. The audit assesses services across 5 generations of online delivery quality. Audit benefits include establishing baselines, identifying improvement areas, benchmarking progress, and informing technology decisions.
The document discusses using data to assess various academic support programs aimed at traditionally underrepresented students at Georgia Tech. It outlines challenges in obtaining and analyzing enrollment, grade, and other institutional data. The goal is to evaluate programs like summer bridge courses, peer mentoring, and tutoring to determine their impact on student achievement, retention, and development in order to improve offerings and student outcomes. Metrics like GPA, course performance, and graduation/retention rates are examined. Data is obtained from the admissions, registrar, and institutional research offices and analyzed using tools like Excel, Access, and SASS to guide programming decisions.
Careers360 is an education products and services company that uses data from 6 million monthly visitors and student/institutional profiles to build recommendation tools helping students choose career paths and colleges. It has over 250 exam preparation and college recommendation products used by millions of students to research over 9,000 colleges and 200 courses. Careers360 aims to be a one-stop hub for all education-related information, tools, forums and events to help students, educators and others make informed decisions. It uses data and predictive analytics to recommend options tailored for each student.
This document outlines Becker College's plan to enhance predictive modeling of college enrollment. It discusses declining enrollment trends in the US and presents Becker College's goal to utilize predictive analytics to increase enrollment. The presentation covers the predictive analytics workflow, including understanding the business goals, exploring and preparing the data, building predictive models, and evaluating and deploying the models. Key aspects of Becker's student data and predictive modeling process are described. The presentation concludes with next steps and challenges to consider when using predictive analytics.
Assessing the Impact of Mentoring: Lessons Learned from a Research Study in W...ICF
Samantha Spinney, Ph.D., Manager, Child Welfare & Education, ICF
Understand the impact mentoring has on students' behavioral engagement, academic achievement, and non-cognitive skill outcomes and learn best practices for designing and implementing a randomized controlled trial (RCT) in a school setting.
Learn more: https://www.icf.com/
A Survey on Online Campus Job Recruitment SystemIRJET Journal
This document summarizes a survey on online campus job recruitment systems. It discusses the benefits of online recruitment systems over traditional methods, including time and cost savings. It also identifies issues with current campus recruitment practices, such as disorganized communication and lack of tracking placement statistics. The document then reviews previous research on online recruitment and the factors that contribute to effective systems. It analyzes an online recruitment system developed for an Indian engineering college using the ABCD framework to identify advantages, benefits, constraints, and disadvantages for students and institutions. The analysis shows that online systems can increase professional visibility for students while allowing institutions to better track performance, though they may also enable procrastination and require adequate internet access.
1st Annual Symposium College Internship Research UW-MadisonMatthew Hora
These are the slides from the 1st Annual Symposium on College Internship Research held at the University of Wisconsin-Madison on Sept 28, 2018. The program featured an introduction by Center for College-Workforce Transitions Director Matthew Hora, followed by four sessions on new empirical research and a practitioner-oriented talk. More info is here: http://ccwt.wceruw.org/symposium.html
IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...IRJET Journal
This document presents a conceptual framework for predicting student academic performance using classification algorithms. The framework uses factors like socioeconomic status, psychological attributes, cognitive attributes, and lifestyle to analyze student performance based on their semester GPA. The document proposes classifying student performance into three classes (first class, second class, third class) based on their first semester GPA. Various classification algorithms like Naive Bayes, random forest, and bagging are evaluated on the student data to identify the best model for predicting performance. The conceptual framework is intended to guide the development of a recommendation system that can help educational institutions identify at-risk students early and improve student outcomes.
The document discusses carbon emissions in India and proposes a new carbon credit model. It would establish carbon credits not just between countries but between all industries in India. Manufacturing and public transport sectors would be the main focus. For manufacturing, industries would be given free carbon credits based on their sector's average emissions. Additional credits could be purchased. Improving public transport through waterways and integrating transportation with IoT is discussed. The government's climate policies and notable non-governmental organizations working in this area are also mentioned. Green building techniques to reduce emissions are outlined.
Extensive Validated Case Study on the Business Process Framework for Market Entry of a Minimum Viable Product corresponding to a Mobile App Generating Vernacular Payment Links.
What are the Future Prospects of Start-ups in Renewable Energy Sector?Sharat Sawhney
A Case Study under the Premises of ShARE - An international Consulting Think-Tank to understand & quantify the emergence of Startups in the Renewable Energy Sector.
The case outlines the difficulties experienced by Shiv Naresh-( An Indian Sportswear Firm )
with regards to its competition with world hits such as Nike, Adidas and Puma.
USECASE OF SHORT RANGE DEVICES (SRDs) AND ULTRA WIDE BAND (UWB)Sharat Sawhney
1) The document discusses potential use cases for short range devices (SRDs) and ultrawideband (UWB) technology on aircraft, including cargo tracking and monitoring, a wing-tip anti-collision system, and wideband data transmission.
2) Cargo tracking and monitoring would use combined active RFID and WLAN communications to enable efficient baggage and cargo handling functions.
3) A wing-tip anti-collision system using automotive radar technology could help prevent collisions during ground operations by detecting obstacles and providing advanced warnings.
4) Wideband data transmission using 60GHz technology could provide high-speed wireless connectivity independent of local infrastructure to improve aircraft ground handling processes.
A Tech-driven Engineering Case on the Current Trends in the Transportation Domain as well as some of the State-of-the-art Principles that can be applied to enhance the Current Transportation System.
Strategizing a Business Plan for an Entrepreneurial Community revolved around the growth of Entrepreneurial culture and Startup Mentoring & Incubation.
This document proposes a B2B e-commerce platform that connects manufacturers directly to retailers and wholesalers. It aims to make the lives of businessmen and middlemen easier by allowing retailers to browse products from different manufacturers, order in batches, and have the goods delivered without handling logistics. Key benefits include reduced costs, increased product variety and customer base for manufacturers, and simplified ordering and record-keeping for retailers. The proposal outlines target industries and audiences, as well as cost analysis, marketing strategies, and the large size and growth of the Indian B2B e-commerce market opportunity.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
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How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
2. BACKGROUND
• According to 2013 data statistics, India has about 700 degree granting
Institutionsand 35,500 affiliatedcolleges.
• Procuring authentic informationabout such an enormous list of colleges
across India is a big challengefor students.
• Students require information about variousaspects like no. of departments,
teacher to student ratio, no of publications, course structure, fees,
scholarshipsand loans, infrastructure, hostel and mess facilities,library,
fests, connectivity,reservations( if any), complete placement dataof the
college before admission, which is generallynot providedby the college
itself.
• Most of the students choose alternativepathsfor getting this information
like internet, personalcontacts, personalvisits which are not authentic,
hence less reliable.
3. OVERVIEW
According to us, it is the sole right of every student to get
correct information about the colleges they want to get
admission in.
To help the case, we have devised a multi-incorporated
algorithm based model suiting the authentic data problem.
We divide our plan in 4 parts:-
Preparing All India Rank for all the colleges based on
admission criteria.
Extracting authentic data from social media.
Honest Reviews from present college students.
Reaching Alumni base of the college.
5. ADMISSION CRITERIA
Further
Parameters
The
Reference
Simulator
Determining
the code of
comparison
(Engineering
/Medical/La
w)
Engineering
JEE MAINS
Opening &
Closing Ranks
Changing Trends
in Consecutive
Years
UPSEE/KCEE
12th Board
Further Tests
(Yes/No)
• The authenticity of comparison of colleges through opening &
closing rank model can be clearly seen from the cut-offs of colleges of
DU, where on one side cut-off of SRCC is generally 99 or even 100
percent and on the other side ANDC is around 84 percent.
6. TRACKING SOCIAL MEDIA
Tracking Placement Stats of Collegevia
College Website
Algorithm based statistical learning of data
from reviews of Quora , Shiksha.com,
college-dunia , meet-my-univ , get-my-uni
Analysis of Extracted data through machine
learning and obtaining the average and
standard deviationvalues.
Repeatedexecution fromconsecutive years
and the succeeding years would help us
gather freshdata.
15. Tracking Enrolled Students
•The concept of floating feedback formsrandomlyamong the students to
get reviews of the present scenario of the college is quite ineffective.
• To sort this, we need to gather campus ambassadors from individual
colleges to work as an intern for Navigus in helping them generate and
collect honest reviews fromother colleges .
•Cambus Ambassadors work by their choice and hence are the most
authentic source of data with referenceto campus reviews and facilities.
•College placement stats-the most important data base , is most easily
collected by students of their own colleges.
•If more than one student is interestedto work as a CA for Navigus , we
can set up a whole hierarchyof CAs to work with us.
16. Alumni -Tracker
Using Premium version of LinkedIn
to get access to Alumni of Colleges
via Company Employees Section
Getting Current Salary
Stats via LinkedIn helps
to compare colleges on
Alumni Success Index.
Getting Personal
Feedback via e-
mails and
LinkedIn
17. MARKETING STRATEGY
TEAM
CAs
•CAs would gather data as well as promote.
•The kins of college students as our target.
Affiliate
Marketing
•Partner with sites like quora and discussion forums.
•Partner with sites providing educational material to targetaudience such as Khan
Academy.
Coaching
Centres
•Collaborating with major Coaching Institutes and providing occasionallectures on college
counselling.
•Affiliating yourself in the test series of coaching centres to spread across thenation.
School
Campaigning
•Organizing events and competitions related to college counselling.
•Organizing intra and inter-schoolworkshops.