Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
The document is a project report for a Student Information System. It includes an abstract describing the system as providing an interface to maintain student records and generate various reports. It also includes sections on the introduction, objectives, functions, methodology, requirements, diagrams, screenshots, and database design of the student information system project.
This document outlines the plan to develop an aspirational "to be" model of the student information management system at Swansea Metropolitan University. It will incorporate lessons learned from evaluating the current "as is" model to identify areas for improvement. The modeling process will use enterprise architecture techniques along with elements from soft systems and viable systems modeling. It aims to improve processes, increase consistency and accuracy of information, and enhance the student and staff experience of the system. Key aspects of the plan include developing subsystem models using mapping tools, assessing governance, and engaging stakeholders in an iterative process to design optimal systems.
The document describes MVSA, a system that monitors and visualizes student tracking data from online learning activities in e-learning platforms. MVSA collects and analyzes log data from course management systems to provide instructors with insights into student participation and progress. It integrates directly into learning management systems and generates interactive visualizations of student tracking metrics. The visualizations display statistics on student online time, resource views, posts to discussions, and more. This helps instructors identify active or disengaged students, compare participation across a class, and evaluate how online activities relate to academic performance. The system aims to make student tracking data more comprehensible and useful for instruction compared to the limited analytics in standard course management software.
The document describes a system called MVSA that monitors and visualizes student tracking data from online learning platforms. MVSA collects and analyzes log data from course management systems to provide instructors with insights into student activities and engagement. It integrates directly into learning management systems and provides visualization tools to more easily understand student participation, interactions, and resource access over time. The visualizations help instructors identify at-risk students, lurkers, and opportunities to improve the online learning environment and student outcomes.
The document contains summaries of several research papers related to information technology and its applications in business and education. The papers discuss topics like ERP systems in organizations, ICT adoption in SMEs, using ERP and JIT together, cloud-based learning systems, modeling ICT facilities in higher education, and the potential of social media in supply chain management. One paper specifically analyzes student perceptions of service facilities and their impact on satisfaction at a university.
AN ENHANCED ELECTRONIC TRANSCRIPT SYSTEM (E-ETS)ijcsit
Transcript is an inventory system holding student academic record. This system has been implemented
conventional, electronically or implemented using web services approaches which have been devoid of
mobile computing approach and system classification rules. The proposed architecture provides an
assiduous pathway for the implementation of the aforementioned issues. This architecture has the
propensity for cutting down operational cost and hardcopy documentation while handling organizational
procedures and processes
Transcript is an inventory system holding student academic record. This system has been implemented conventional, electronically or implemented using web services approaches which have been devoid of mobile computing approach and system classification rules. The proposed architecture provides an assiduous pathway for the implementation of the aforementioned issues. This architecture has the propensity for cutting down operational cost and hardcopy documentation while handling organizational procedures and processes.
Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
The document is a project report for a Student Information System. It includes an abstract describing the system as providing an interface to maintain student records and generate various reports. It also includes sections on the introduction, objectives, functions, methodology, requirements, diagrams, screenshots, and database design of the student information system project.
This document outlines the plan to develop an aspirational "to be" model of the student information management system at Swansea Metropolitan University. It will incorporate lessons learned from evaluating the current "as is" model to identify areas for improvement. The modeling process will use enterprise architecture techniques along with elements from soft systems and viable systems modeling. It aims to improve processes, increase consistency and accuracy of information, and enhance the student and staff experience of the system. Key aspects of the plan include developing subsystem models using mapping tools, assessing governance, and engaging stakeholders in an iterative process to design optimal systems.
The document describes MVSA, a system that monitors and visualizes student tracking data from online learning activities in e-learning platforms. MVSA collects and analyzes log data from course management systems to provide instructors with insights into student participation and progress. It integrates directly into learning management systems and generates interactive visualizations of student tracking metrics. The visualizations display statistics on student online time, resource views, posts to discussions, and more. This helps instructors identify active or disengaged students, compare participation across a class, and evaluate how online activities relate to academic performance. The system aims to make student tracking data more comprehensible and useful for instruction compared to the limited analytics in standard course management software.
The document describes a system called MVSA that monitors and visualizes student tracking data from online learning platforms. MVSA collects and analyzes log data from course management systems to provide instructors with insights into student activities and engagement. It integrates directly into learning management systems and provides visualization tools to more easily understand student participation, interactions, and resource access over time. The visualizations help instructors identify at-risk students, lurkers, and opportunities to improve the online learning environment and student outcomes.
The document contains summaries of several research papers related to information technology and its applications in business and education. The papers discuss topics like ERP systems in organizations, ICT adoption in SMEs, using ERP and JIT together, cloud-based learning systems, modeling ICT facilities in higher education, and the potential of social media in supply chain management. One paper specifically analyzes student perceptions of service facilities and their impact on satisfaction at a university.
AN ENHANCED ELECTRONIC TRANSCRIPT SYSTEM (E-ETS)ijcsit
Transcript is an inventory system holding student academic record. This system has been implemented
conventional, electronically or implemented using web services approaches which have been devoid of
mobile computing approach and system classification rules. The proposed architecture provides an
assiduous pathway for the implementation of the aforementioned issues. This architecture has the
propensity for cutting down operational cost and hardcopy documentation while handling organizational
procedures and processes
Transcript is an inventory system holding student academic record. This system has been implemented conventional, electronically or implemented using web services approaches which have been devoid of mobile computing approach and system classification rules. The proposed architecture provides an assiduous pathway for the implementation of the aforementioned issues. This architecture has the propensity for cutting down operational cost and hardcopy documentation while handling organizational procedures and processes.
This document proposes an Enhanced Electronic Transcript System (E-ETS) that addresses limitations of existing transcript systems. The E-ETS incorporates mobile computing access, rule-based classification of student records, and a focus on tertiary education institutions. It describes components of the E-ETS like the transcript database, input access for lecturers, and transcript system rules for classifying student grades. The system aims to provide a more robust, flexible transcript system for students and lecturers to access academic records remotely using mobile devices. It also introduces an automated, rule-based approach to classifying student performance compared to subjective methods used by other systems.
The SMUDIE project aimed to analyze and improve the student information management systems at Swansea Metropolitan University. It conducted interviews, created "as is" models using Enterprise Architecture, and identified opportunities for improvement. The project developed a new "to be" modeling technique combining Enterprise Architecture, Viable Systems Modeling, and Soft Systems Modeling to inform future integrated information system design following the university's merger. Key outcomes included better stakeholder understanding, a system design model, and lessons about using modeling techniques for management planning.
IRJET- Predicting Academic Course Preference using Inspired MapreduceIRJET Journal
1. The document discusses using MapReduce to analyze student data to predict academic course preferences for industrial training. Student data like feedback and preferences are collected and stored in a distributed file system.
2. MapReduce jobs are run on the data to extract patterns and determine the most popular course combinations selected by students. This can help students choose courses and help institutions meet demand.
3. The proposed system uses MapReduce to split the student data, perform mapping and reducing, and output the most common courses selected to guide decision making. This addresses issues with unstructured big data and helps match students to in-demand training courses.
Knowledge management strategies in higher educationiaemedu
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. It then discusses trends in knowledge management practices for higher education, including leveraging knowledge to enhance innovation and convergence with research. Finally, it proposes technology solutions like university portals that can integrate tools and resources to improve knowledge sharing and exchange among faculty and students across campuses.
Knowledge management strategies in higher educationiaemedu
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. Some key trends in knowledge management practices for higher education are emerging technology solutions, a movement from conventional teaching to knowledge management-oriented systems, and applying implicit knowledge. The document also discusses how technology solutions like portals can support knowledge exchange and management objectives in higher education. It provides examples of applying knowledge management in areas like research processes, curriculum development, and administrative services to improve outcomes. Overall, the document advocates for institutions to take a holistic approach to knowledge management to better share and leverage both explicit and implicit knowledge.
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. Some key trends in knowledge management practices for higher education are emerging technology solutions, a movement from conventional teaching to knowledge management-oriented systems, and applying implicit knowledge. The document also discusses how technology solutions like portals can support knowledge exchange and management objectives in higher education. It provides examples of applying knowledge management in areas like research processes, curriculum development, and administrative services to improve outcomes. Overall, the document advocates for institutions to take a holistic approach to knowledge management to better share and leverage both explicit and implicit knowledge across the higher education system.
Knowledge management strategies in higher educationIAEME Publication
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. Some key trends in knowledge management practices for higher education are emerging technology solutions, a movement from conventional teaching to knowledge management-oriented systems, and applying implicit knowledge. The document also discusses how technology solutions like portals can help support knowledge exchange. It explores applying knowledge management in areas like research, curriculum development, and administrative services to improve processes and leverage best practices. The overall aim is to discuss how knowledge management concepts used in business can also be applied in higher education institutions.
The document discusses knowledge management strategies in higher education. It explains that knowledge management aims to leverage both explicit knowledge, such as best practices and research findings, as well as implicit knowledge embedded within people, like expertise and experiences. While knowledge management is commonly used in businesses, it has potential benefits for higher education institutions to improve learning methods, gain competitive advantages, and achieve operational excellence. The document outlines trends in applying knowledge management in higher education, such as using it to enhance innovation and boosting implicit over explicit knowledge sharing. It also discusses technology solutions like university portals that can facilitate collaboration and knowledge exchange between faculty and students.
BIILS, HILDA and the JISC infoNet Impact CalculatorLeeds Met FSD
The document discusses three projects and tools - BIILS, HILDA, and the JISC Impact Calculator - and how they could help with evaluating the costs and benefits of the SOAPOpera project. BIILS provides methodologies for evaluating investments in ICT. HILDA provides a domain map to explore the e-framework from a top-down perspective based on university functions. The Impact Calculator allows measuring performance and costs before and after implementation to calculate quantifiable benefits of improving records and information management.
This document outlines a capstone project to develop a Graduates' Online Tracker system with a mobile app and integrated desktop system for Our Lady of Pillar College San Manuel Incorporated. The system will allow the school to track graduate outcomes and identify potential deficiencies in educational curricula. It will give graduates a way to view announcements and job opportunities. Data gathered from alumni will be analyzed using data visualization charts to help administrators and teachers evaluate programs and improve teaching standards and curricula. The project aims to benefit alumni, administrators, students, and future researchers. It will use agile development methodology and gather input from school staff and alumni.
The ICT-FLAG project aims to enhance ICT education through formative assessment, learning analytics, and gamification. The project will develop tools to provide automated feedback on student activities to improve learning. It will also apply learning analytics to monitor tool usage and student progress, and incorporate data from other sources. Additionally, gamification mechanisms will be used to increase student motivation and engagement. The goals are to design e-learning tools and services to support the learning process in ICT degrees. This will be done through developing formative assessment and analytics tools, integrating the three approaches, and evaluating the tools' impact on learning outcomes and student satisfaction in ICT courses.
Campus Placement Hub using K-Means Clustering AlgorithmIRJET Journal
1. The document describes a campus placement hub system developed using the K-means clustering algorithm. It includes modules for students, companies, and administrators.
2. The student module allows students to register, provide their details and academic records, upload resumes, and apply for job opportunities. The company module enables companies to view student profiles and resumes. The admin module is for managing placements and student applications.
3. The system aims to facilitate effective communication between students, companies, and the administration to enhance campus placement activities.
This document describes a proposed Android app for a college management system. The app would allow faculty to share important information and notifications with students. It includes OTP login for teachers, administrators, and principals along with student login. Faculty could upload documents, notes, attendance updates, and more through the app. Students could view information and notifications for their semester. The app aims to increase efficiency of record management, decrease time to access records, and make the system more secure compared to traditional bulletin board-based methods. Future work includes implementing K-means clustering and authentication algorithms in the app.
Section 4.1 student and other stakeholder relationship management in the cloudAssociation of Colleges
Cloud computing provides opportunities to better manage relationships with students and other stakeholders through integrated systems. Three colleges implemented cloud-based relationship management projects with different approaches. Brockenhurst College migrated their existing system to the cloud for improved scalability and mobile access. Gloucestershire College developed a new integrated website and CRM system in the cloud. City College Coventry created a mobile app for key campus information. The projects aimed to improve communication and support for students throughout their learning journey using cloud technologies.
The document discusses using a three-phase modeling approach to plan improvements to a university's student information management system. The phases included: 1) evaluating the existing "as is" system, 2) analyzing it to identify areas for improvement and design a proposed "to be" system, and 3) adding real-world considerations to create practical solutions. A case study on improving an inconsistent student attendance monitoring system demonstrated applying the modeling techniques. The modeling led to the conclusion that sub-systems for different functional areas were needed, but core data sharing between them was important for effective management.
The document summarizes the 3-year technology plan for Beaumont Independent School District from 2011-2014. It outlines the district's technology goals of facilitating technology initiatives, improving student learning through technology integration, and developing community technology education. The plan details strategies and objectives to meet these goals, such as improving infrastructure, providing professional development, and increasing access to technology for students, teachers, and parents. It also includes the technology budget and evaluation methods for the plan.
This document proposes developing a University Enterprise Resource Planning (ERP) system for Bangabandhu Sheikh Mujibur Rahman Science & Technology University. It provides an overview of the system's objectives, features and modules. The key modules include student management, teacher management, library management, HR and accounting. The proposal discusses the system requirements, design, development process and implementation approach. It recommends using an agile software development model to build a flexible system that can adapt to changing needs.
Jerry Sheehan, Vice President for IT and Chief Information Officer at Montana State University, gave a presentation at an IT Town Hall meeting in October 2018. He summarized accomplishments in FY18, including projects improving IT collaboration, the learning management system, emergency alerts, research networking, and security training. He also outlined transformative FY19 projects, such as a new budgeting system, password reset tool, accessibility initiatives, and a unified communications system transitioning the university to voice over IP phones. The town hall provided a forum for questions about these projects and other IT issues.
This document proposes an Enhanced Electronic Transcript System (E-ETS) that addresses limitations of existing transcript systems. The E-ETS incorporates mobile computing access, rule-based classification of student records, and a focus on tertiary education institutions. It describes components of the E-ETS like the transcript database, input access for lecturers, and transcript system rules for classifying student grades. The system aims to provide a more robust, flexible transcript system for students and lecturers to access academic records remotely using mobile devices. It also introduces an automated, rule-based approach to classifying student performance compared to subjective methods used by other systems.
The SMUDIE project aimed to analyze and improve the student information management systems at Swansea Metropolitan University. It conducted interviews, created "as is" models using Enterprise Architecture, and identified opportunities for improvement. The project developed a new "to be" modeling technique combining Enterprise Architecture, Viable Systems Modeling, and Soft Systems Modeling to inform future integrated information system design following the university's merger. Key outcomes included better stakeholder understanding, a system design model, and lessons about using modeling techniques for management planning.
IRJET- Predicting Academic Course Preference using Inspired MapreduceIRJET Journal
1. The document discusses using MapReduce to analyze student data to predict academic course preferences for industrial training. Student data like feedback and preferences are collected and stored in a distributed file system.
2. MapReduce jobs are run on the data to extract patterns and determine the most popular course combinations selected by students. This can help students choose courses and help institutions meet demand.
3. The proposed system uses MapReduce to split the student data, perform mapping and reducing, and output the most common courses selected to guide decision making. This addresses issues with unstructured big data and helps match students to in-demand training courses.
Knowledge management strategies in higher educationiaemedu
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. It then discusses trends in knowledge management practices for higher education, including leveraging knowledge to enhance innovation and convergence with research. Finally, it proposes technology solutions like university portals that can integrate tools and resources to improve knowledge sharing and exchange among faculty and students across campuses.
Knowledge management strategies in higher educationiaemedu
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. Some key trends in knowledge management practices for higher education are emerging technology solutions, a movement from conventional teaching to knowledge management-oriented systems, and applying implicit knowledge. The document also discusses how technology solutions like portals can support knowledge exchange and management objectives in higher education. It provides examples of applying knowledge management in areas like research processes, curriculum development, and administrative services to improve outcomes. Overall, the document advocates for institutions to take a holistic approach to knowledge management to better share and leverage both explicit and implicit knowledge.
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. Some key trends in knowledge management practices for higher education are emerging technology solutions, a movement from conventional teaching to knowledge management-oriented systems, and applying implicit knowledge. The document also discusses how technology solutions like portals can support knowledge exchange and management objectives in higher education. It provides examples of applying knowledge management in areas like research processes, curriculum development, and administrative services to improve outcomes. Overall, the document advocates for institutions to take a holistic approach to knowledge management to better share and leverage both explicit and implicit knowledge across the higher education system.
Knowledge management strategies in higher educationIAEME Publication
The document discusses knowledge management strategies in higher education. It begins by explaining the concepts of explicit and implicit knowledge and how knowledge works in higher education. Some key trends in knowledge management practices for higher education are emerging technology solutions, a movement from conventional teaching to knowledge management-oriented systems, and applying implicit knowledge. The document also discusses how technology solutions like portals can help support knowledge exchange. It explores applying knowledge management in areas like research, curriculum development, and administrative services to improve processes and leverage best practices. The overall aim is to discuss how knowledge management concepts used in business can also be applied in higher education institutions.
The document discusses knowledge management strategies in higher education. It explains that knowledge management aims to leverage both explicit knowledge, such as best practices and research findings, as well as implicit knowledge embedded within people, like expertise and experiences. While knowledge management is commonly used in businesses, it has potential benefits for higher education institutions to improve learning methods, gain competitive advantages, and achieve operational excellence. The document outlines trends in applying knowledge management in higher education, such as using it to enhance innovation and boosting implicit over explicit knowledge sharing. It also discusses technology solutions like university portals that can facilitate collaboration and knowledge exchange between faculty and students.
BIILS, HILDA and the JISC infoNet Impact CalculatorLeeds Met FSD
The document discusses three projects and tools - BIILS, HILDA, and the JISC Impact Calculator - and how they could help with evaluating the costs and benefits of the SOAPOpera project. BIILS provides methodologies for evaluating investments in ICT. HILDA provides a domain map to explore the e-framework from a top-down perspective based on university functions. The Impact Calculator allows measuring performance and costs before and after implementation to calculate quantifiable benefits of improving records and information management.
This document outlines a capstone project to develop a Graduates' Online Tracker system with a mobile app and integrated desktop system for Our Lady of Pillar College San Manuel Incorporated. The system will allow the school to track graduate outcomes and identify potential deficiencies in educational curricula. It will give graduates a way to view announcements and job opportunities. Data gathered from alumni will be analyzed using data visualization charts to help administrators and teachers evaluate programs and improve teaching standards and curricula. The project aims to benefit alumni, administrators, students, and future researchers. It will use agile development methodology and gather input from school staff and alumni.
The ICT-FLAG project aims to enhance ICT education through formative assessment, learning analytics, and gamification. The project will develop tools to provide automated feedback on student activities to improve learning. It will also apply learning analytics to monitor tool usage and student progress, and incorporate data from other sources. Additionally, gamification mechanisms will be used to increase student motivation and engagement. The goals are to design e-learning tools and services to support the learning process in ICT degrees. This will be done through developing formative assessment and analytics tools, integrating the three approaches, and evaluating the tools' impact on learning outcomes and student satisfaction in ICT courses.
Campus Placement Hub using K-Means Clustering AlgorithmIRJET Journal
1. The document describes a campus placement hub system developed using the K-means clustering algorithm. It includes modules for students, companies, and administrators.
2. The student module allows students to register, provide their details and academic records, upload resumes, and apply for job opportunities. The company module enables companies to view student profiles and resumes. The admin module is for managing placements and student applications.
3. The system aims to facilitate effective communication between students, companies, and the administration to enhance campus placement activities.
This document describes a proposed Android app for a college management system. The app would allow faculty to share important information and notifications with students. It includes OTP login for teachers, administrators, and principals along with student login. Faculty could upload documents, notes, attendance updates, and more through the app. Students could view information and notifications for their semester. The app aims to increase efficiency of record management, decrease time to access records, and make the system more secure compared to traditional bulletin board-based methods. Future work includes implementing K-means clustering and authentication algorithms in the app.
Section 4.1 student and other stakeholder relationship management in the cloudAssociation of Colleges
Cloud computing provides opportunities to better manage relationships with students and other stakeholders through integrated systems. Three colleges implemented cloud-based relationship management projects with different approaches. Brockenhurst College migrated their existing system to the cloud for improved scalability and mobile access. Gloucestershire College developed a new integrated website and CRM system in the cloud. City College Coventry created a mobile app for key campus information. The projects aimed to improve communication and support for students throughout their learning journey using cloud technologies.
The document discusses using a three-phase modeling approach to plan improvements to a university's student information management system. The phases included: 1) evaluating the existing "as is" system, 2) analyzing it to identify areas for improvement and design a proposed "to be" system, and 3) adding real-world considerations to create practical solutions. A case study on improving an inconsistent student attendance monitoring system demonstrated applying the modeling techniques. The modeling led to the conclusion that sub-systems for different functional areas were needed, but core data sharing between them was important for effective management.
The document summarizes the 3-year technology plan for Beaumont Independent School District from 2011-2014. It outlines the district's technology goals of facilitating technology initiatives, improving student learning through technology integration, and developing community technology education. The plan details strategies and objectives to meet these goals, such as improving infrastructure, providing professional development, and increasing access to technology for students, teachers, and parents. It also includes the technology budget and evaluation methods for the plan.
This document proposes developing a University Enterprise Resource Planning (ERP) system for Bangabandhu Sheikh Mujibur Rahman Science & Technology University. It provides an overview of the system's objectives, features and modules. The key modules include student management, teacher management, library management, HR and accounting. The proposal discusses the system requirements, design, development process and implementation approach. It recommends using an agile software development model to build a flexible system that can adapt to changing needs.
Jerry Sheehan, Vice President for IT and Chief Information Officer at Montana State University, gave a presentation at an IT Town Hall meeting in October 2018. He summarized accomplishments in FY18, including projects improving IT collaboration, the learning management system, emergency alerts, research networking, and security training. He also outlined transformative FY19 projects, such as a new budgeting system, password reset tool, accessibility initiatives, and a unified communications system transitioning the university to voice over IP phones. The town hall provided a forum for questions about these projects and other IT issues.
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.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
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Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
1. An Entry of the JHS Department to the
Academic Innovations and Movements (AIMS) 2023
Streamlined Management and
Automated Reporting Technology
for JHS Education Delivery
5. Electronic Class Record
Editable Digital Copy of Learner’s Report Card
Ranking and Selection of Honors
Monthly Monitoring of Attendance
Table of Specifications
6. Project’s X - Factor
Comprehensive and integrated
approach
Streamlining efficient way of
managing student data
Promoting effective
communication and
collaboration
16. MARKET SIZE
TOTAL SIZE OF THE MARKET
The total size of the market initially includes
JHS faculty members for the pilot run of the
project. However, the same can also be
utilized by the 2 other basic education units
in the University or could even extend to
other institutions which are the feeder
schools of the University and/or of the JHS
Department.
17. MARKET SIZE
TOTAL SIZE OF THE SERVICEABLE
MARKET
The total size of the serviceable market
could include other educational
institutions (feeder schools of the
University) that have the resources and
infrastructure to adopt digital systems
specifically designed for JHS and other
18. MARKET SIZE
TOTAL SIZE OF THE ADDRESSABLE
MARKET
The total size of the addressable market
could include educational institutions that
have expressed a need or interest in
implementing digital systems tailored for
JHS and other basic education units.
One of the biggest hurdles that teachers have had to overcome before the advent of digital systems
are the manual input of recording and tracking of student progress, attendance, and performance. This process was time-consuming and prone to errors, especially in a large scale, making it difficult to manage and analyze student data effectively.
Time that should have been intended for the planning of the instructional delivery are being exhausted with these tasks.
Due to these circumstances, the department had adopted the use of technology to ease up the burden and hurdles of the teachers on a daily basis.Since the department is not yet integrated in the UNC Portal, we make use of resources that are already available to us.One of which is the use of the Excel Program Application of Microsoft Office.This had been very useful particularly the time that the pandemic hit the education system. Data from the learning management system were already digital in nature, so exporting data to the e-class record becomes smoothly possible.
The development of the E-Class Record in the JHS Department is just the start of innovating the different paper-based forms into digital format.As of now, we are currently using the following:1. Table of SpecificationsThis is a form where we plan on distributing the different questions for our quarterly exams into the different cognitive dimension processes.
2. Electronic Class Record – the form in which teachers will compute the quarterly grade of the students.
3. Editable Digital Copy of Learner’s Report Card – a digital copy which will automate the entries by just providing the student id number of the students.4. Ranking and Selection of Honors – the form which will determine the qualified students who are included in the list of honors5. Monthly Monitoring of Attendance – the form which automate the computation of the monthly attendance report of the class on a monthly basis
The project's X-factor is its comprehensive and integrated approach to digitizing key aspects of instructional delivery. This approach provides teachers in this unit with a streamlined and efficient way of managing student data and promoting effective communication and collaboration.
For the Table of Specification, some teachers tend to provide incorrect value in the weighted percentage. With the help of this form, they just need to enter the values for the time allotment per topic and it will immediately update the weighted percentage column as well as the suggested number of items per cognitive process dimensions.
For the electronic class record, everything is also automatic as long as you provide the required data. Under Written works, it will not compute the percentage score and weighted score unless you enter at least 5 scores of the students. Meaning, teachers must give at least 5 activities to the students for that quarter. For the PT, you can change the percentage per item as long as the accumulated percentage must be equal to the mandate by DepEd. Teachers don’t need to compute for the individual grades of the students manually.
For so many years, I had been hearing from teachers the struggles on accomplishing the report card once the release is approaching, especially those teachers that doesn’t have a good penmanship. We have to buy a new card just to replace the one with error. But with the digitized report card that I manage to re-create with the help of the formulas in excel, teachers can generate an e-card as long as they can provide all needed data from each students, like the name, age, LRN, the grades from each subject as well as there attendance. All they need to do is input or copy & paste their student ID no. and all the data will appear in the card.
Ranking of students and selection of honors are made easy for each teacher as long as they have the complete grades from each subject teachers, the program will highlight those names and grades that are qualified to be honors and those that are not. This had been a great help for teachers especially during deliberation at the end of the school year to determine the possible list of honors.
Every month, the BED registrar always reminds the class advisers to submit the SF2, a form that summarizes the daily attendance report of learners on a monthly basis. Although DepEd provided a format of the SF2 through the LIS, the computation part is still left to the advisers. With this, I copied their SF2 with a better formatting and incorporated formula so that advisers just need to determine who were absent for a particular day and the rest of the entry will be computed automatically.
The assets were mixed together by leveraging digital platforms and tools specifically designed for JHS taking into account their unique requirements and processes. Files can be accessed through their personal computer or being is shared in the cloud such as google drive for easy monitoring and prompt submission of these forms.
None as of the moment but if this innovation will be utilized for the entire Basic Ed Units of the University, partnerships within the University’s ecosystem such as our in-house technology experts could be explored. In a greater and wider perspective, education organizations that specialize in JHS and basic education units can also be tapped to develop or implement the digital systems.
The project's defensibility lies in its tailored approach for JHS Department. While competitors could potentially replicate the concept, the specific customization for these units may provide a competitive advantage. This project is meant to be replicated. Partners can easily adopt with these innovation as long as there is a competent individual to knows the knowledge in the proper syntax of all the formulas of MS Excel that is being used in these forms.
The impact may be validated through user feedback, performance metrics, or academic outcomes specifically related to JHS and/or other basic education units, if this SMART-ED will be adopted by the latter. Feedback from teachers, students, and parents in these units could provide insights into the usability and effectiveness of the digital systems. Performance metrics such as attendance rates or grade improvements among JHS students could indicate the impact of the digital systems on student outcomes
The revenue and cost model may vary depending on the specific context and implementation strategy for JHS and other basic education units in the University. Revenue could be generated through subscription fees or licensing agreements with educational institutions that will cater to SMART-ED. Costs could include development and implementation costs, as well as ongoing maintenance and support costs tailored for JHS and other basic education units. These costs may be materialized if SMART-ED will be designed as a comprehensive system that will interphase/streamline all the teacher’s reportorial deliverables
What is the program’s current scale? How many customers are already attracted to the program and have participated in? The program has already a user-base of 44 teachers in the JHS Department. This number necessitates the demand for digitized instructional delivery systems in the Department.
With the implementation of the SF2, it was already introduced by the BED Registrar to be used by the Elementary Faculty last SY.
In conclusion, the digitalization of important documents such as Electronic Class Record, Table of Specification, Report Card, Ranking and Selection of Honors and attendance monitoring will revolutionize instructional delivery. These interconnected digital systems will contribute to future-proofing teaching by providing teachers with the necessary tools to efficiently manage student data, track progress, and make informed instructional decisions.