Searching for "saas"
Understanding Cloud Terminology: What Does IaaS, Paas, and SaaS Mean?
- IaaS, Infrastructure-as-a-Service
- PaaS, Platform-as-a-Service
Apache/nginx web server
- SaaS, Software-as-a-Service
- UCaaS, Unified-Communications-as-a-Service
- GaaS, Gaming-as-a-Service
more on SAAS in this IMS blog
more on cloud computing in this IMS blog
NMC Horizon Report > 2017 Library Edition
PDF file 2017-nmc-horizon-report-library-EN-20ml00b
p. 26 Improving Digital Literacy
As social networking platforms proliferate and more interactions take place digitally, there are more opportunities for propagation of misinformation, copyright infringement, and privacy breaches.
p. 34 Embracing the need for radical change
40% of faculty report that their students ” rarely” interact with campus librarians.
Empathy as the Leader’s Path to Change | Leading From the Library, By October 27, 2016, http://lj.libraryjournal.com/2016/10/opinion/leading-from-the-library/empathy-as-the-leaders-path-to-change-leading-from-the-library/
Empathy as a critical quality for leaders was popularized in Daniel Goleman’s work about emotional intelligence. It is also a core component of Karol Wasylyshyn’s formula for achieving remarkable leadership. Elizabeth Borges, a women’s leadership program organizer and leadership consultant, recommends a particular practice, cognitive empathy.
Leadership in disruptive times, James M. Matarazzo, Toby Pearlstein, First Published September 27, 2016, http://journals.sagepub.com/doi/full/10.1177/0340035216658911
What is library leadership? a library leader is defined as the individual who articulates a vision for the organization/task and is able to inspire support and action to achieve the vision. A manager, on the other hand, is the individual tasked with organizing and carrying out the day-to-day operational activities to achieve the vision.Work places are organized in hierarchical and in team structures. Managers are appointed to administer business units or organizations whereas leaders may emerge from all levels of the hierarchical structures. Within a volatile climate the need for strong leadership is essential.
Leaders are developed and educated within the working environment where they act and co-work with their partners and colleagues. Effective leadership complies with the mission and goals of the organization. Several assets distinguish qualitative leadership:
Mentoring. Motivation. Personal development and skills. Inspiration and collaboration. Engagement. Success and failure. Risk taking. Attributes of leaders.
Leaders require having creative minds in shaping strategies and solving problems. They are mentors for the staff, work hard and inspire them to do more with less and to start small and grow big. Staff need to be motivated to work at their optimum performance level. Leadership entails awareness of the responsibilities inherent to the roles of a leader. However, effective leadership requires the support of the upper management.
p. 36. Developments in Technology for Academic and Research Libraries
- consumer technologies
- Digital strategies are not so much technologies as they are ways of using devices and software to enrich teaching, learning, research and information management, whether inside or outside the library. Effective Digital strategies can be used in both information and formal learning; what makes them interesting is that they transcended conventional ideas to create something that feels new, meaningful, and 21st century.
- enabling technologies
this group of technologies is where substantive technological innovation begins to be visible.
- Internet technologies.
- learning technologies
- social media technologies. could have been subsumed under the consumer technology category, but they have become so ever-present and so widely used in every part of society that they have been elevated to their own category. As well-established as social media is, it continues to evolve at a rapid pace, with new ideas, tools, and developments coming online constantly.
- Visualization technologies. from simple infographics to complex forms of visual data analysis. What they have in common is that they tap the brain’s inherent ability to rapidly process visual information, identify patterns, and sense order in complex situations. These technologies are a growing cluster of tools and processes for mining large data sets, exploring dynamic processes, and generally making the complex simple.
p. 38 Big Data
Big data has significant implications for academic libraries in their roles as facilitators and supporters of the research process. big data use in the form of digital humanities research. Libraries are increasingly seeking to recruit for positions such as research data librarians, data curation specialists, or data visualization specialists
p. 40 Digital Scholarship Technologies
digital humanities scholars are leveraging new tools to aid in their work. ubiquity of new forms of communication including social media, text analysis software such as Umigon is helping researchers gauge public sentiment. The tool aggregates and classifies tweets as negative, positive, or neutral.
p. 42 Library Services Platforms
Diversity of format and materials, in turn, required new approaches to content collection and curation that were unavailable in the incumbent integrated library systems (ILS), which are primarily designed for print materials. LSP is different from ILS in numerous ways. Conceptually, LSPs are modeled on the idea of software as a service (SaaS),which entails delivering software applications over the internet.
p. 44 Online Identity.
incorporated the management of digital footprints into their programming and resources
simplify the idea of digital footprint as“data about the data” that people are searching or using online. As resident champions for advancing digital literacy,304 academic and research libraries are well-positioned to guide the process of understanding and crafting online identities.
Libraries are becoming integral players in helping students understand how to create and manage their online identities. website includes a social media skills portal that enables students to view their digital presence through the lens in which others see them, and then learn how they compare to their peers.
p. 46 Artificial Intelligence
p. 48 IoT
beacons are another iteration of the IoT that libraries have adopted; these small wireless devices transmit a small package of data continuously so that when devices come into proximity of the beacon’s transmission, functions are triggered based on a related application.340 Aruba Bluetooth low-energy beacons to link digital resources to physical locations, guiding patrons to these resources through their custom navigation app and augmenting the user experience with location-based information, tutorials, and videos.
students and their computer science professor have partnered with Bavaria’s State Library to develop a library app that triggers supplementary information about its art collection or other points of interest as users explore the space
more on Horizon Reports in this IMS blog
Internet of Things: A Primer for Product Managers
The first step to becoming an IoT Product Manager is to understand the 5 layers of the IoT technology stack.
Devices constitute the “things” in the Internet of Things. They act as the interface between the real and digital worlds.
2. Embedded software
Embedded software is the part that turns a device into a “smart device”. This part of the IoT technology stack enables the concept of “software-defined hardware”, meaning that a particular hardware device can serve multiple applications depending on the embedded software it is running.
Embedded Operating System
The complexity of your IoT solution will determine the type of embedded Operating System (OS) you need. Some of the key considerations include whether your application needs a real-time OS, the type of I/O support you need, and whether you need support for the full TCP/IP stack.
Common examples of embedded OS include Linux, Brillo (scaled-down Android), Windows Embedded, and VxWorks, to name a few.
This is the application(s) that run on top of the embedded OS and provide the functionality that’s specific to your IoT solution.
Communications refers to all the different ways your device will exchange information with the rest of the world. This includes both physical networks and the protocols you will use.
4. Cloud Platform
The cloud platform is the backbone of your IoT solution. If you are familiar with managing SaaS offerings, then you are well aware of everything that is entailed here. Your infrastructure will serve as the platform for these key areas:
Data Collection and Management
Your smart devices will stream information to the cloud. As you define the requirements of your solution, you need to have a good idea of the type and amount of data you’ll be collecting on a daily, monthly, and yearly basis.
Analytics are one of they key components of any IoT solution. By analytics, I’m referring to the ability to crunch data, find patterns, perform forecasts, integrate machine learning, etc. It is the ability to find insights from your data and not the data alone that makes your solution valuable.
The Internet of Things is all about connecting devices and sharing data. This is usually done by exposing APIs at either the Cloud level or the device level. Cloud APIs allow your customers and partners to either interact with your devices or to exchange data. Remember that opening an API is not a technical decision, it’s a business decision.
Related post: The Business of APIs: What Product Managers Need to Plan For
This is the part of the stack that is most easily understood by Product teams and Executives. Your end-user applications are the part of the system that your customer will see and interact with. These applications will most likely be Web-based, and depending on your user needs, you might need separate apps for desktop, mobile, and even wearables.
The Bottom Line
As the Internet of Things continues to grow, the world will need an army of IoT-savvy Product Managers. And those Product Managers will need to understand each layer of the stack, and how they all fit together into a complete IoT solution.
more on Internet of Things in this blog:
Posted in LinkedIn by Jonathan Moser
Check Out Thayer Academy’s new site: from Camps and Campus Maps to Infographics, History, and even some Digital Storytelling:
Camp Thayer: https://lnkd.in/e6CVMmk
Campus Map: https://lnkd.in/eu9aUGm
History of Thayer: https://lnkd.in/eSzgEbr
Facts & Figures: https://lnkd.in/eH_F6za
EDAD 646 tech instruction with Dr. Roger Worner
Based on the documents attached above, and the discussion and work already surrounding these documents, please consider the following flowchart:
study >>> systems theory >>> cybermetrics >>>
SWOT >>> strategic planning >>> task force >>> architect >>>
CM >>> public adviser >>> public polling >>> referendum
During the exercises surrounding the documents above, you have been introduced to various speakers / practitioners, who presented real-life cases regarding:
- transportation https://www.edulog.com/, http://www.tylertech.com/solutions-products/school-solutions/transportation, http://www.busboss.com/
- food service (http://www.foodservicedirector.com/research/big-picture/articles/impact-technology-foodservice)
- building grounds (http://files.eric.ed.gov/fulltext/ED499142.pdf)
- HR (http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dkeh%26AN%3d89941160%26site%3dehost-live%26scope%3dsite)
– the first goal of this technology instruction is to figure out the current state of technology in K12 settings.
* split in groups * using each group member’s information and experience about technology in general and technology in school settings, use the flow chart above and identify any known technology, which can improve the process of each step in the flow chart.
* reconvene and compare results among groups. Find similarities and discrepancies and agree on a pool of applicable technology tools and concepts, which can improve the process reflected in the flow chart.
Example how to meet the requirements for the first goal: 1. based on your technological proficiency, how can you aid your study using system thinking/systems approach? the work ahead of you is collaborative. What collaborative tools do you know, which can help the team work across time and space? Skype, Google Hangouts for audio/video/desktopsharing. Google Drive/Docs for working on policies and similar text-based documents.
Work on the following assignment:
Trends in technology cannot be taken separately from other issues and are closely intertwined with other “big” trends :
e.g., mobile workspaces (http://blog.stcloudstate.edu/ims/2015/12/03/mobile-workspaces-on-campus/ ) are part of the larger picture, namely active learning spaces (http://blog.stcloudstate.edu/ims/?s=learning+spaces&submit=Search), which involves, furniture, building construction, etc.
keeping in mind this interdependence / balance, please work in groups on the following questions. Using the available links above and the literature they lead to, as well as your own findings, please provide your best opinion to these questions:
- when planning for a new building and determining learning spaces, what is the percentage of importance, which we place on technology, in relation to furniture, for example?
- how much do teachers have a say in the planning of the building, considering that they had worked and prefer “their type” of learning space?
- who decides what technology and how? how one rationalizes the equation technology = learning spaces = available finances?
- how much outsourcing (consulting) on any of the components of the equation above one can afford / consider? How much weight the strategic planning puts on the consulting (outsourcing) versus the internal opinion (staff and administrators)?
- how “far in the future” your strategic plan is willing / able to look at, in terms of technology – learning spaces?
How to stay current with the technology developments:
– the second goal of this technology instruction is to become acquainted with future technological trends and developments.
The New Horizon Report 2015 K12 Edition:
https://www.graphite.org/ – reviews and ratings for educational materials
Are Schools Wasting Moneys on Computers?
Center for Digital Education (CDE)
real-time impact on curriculum structure, instruction delivery and student learning, permitting change and improvement. It can also provide insight into important trends that affect present and future resource needs.
Big Data: Traditionally described as high-volume, high-velocity and high-variety information.
Learning or Data Analytics: The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.
Educational Data Mining: The techniques, tools and research designed for automatically extracting meaning from large repositories of data generated by or related to people’s learning activities in educational settings.
Predictive Analytics: Algorithms that help analysts predict behavior or events based on data.
Predictive Modeling: The process of creating, testing and validating a model to best predict the probability of an outcome.
Data analytics, or the measurement, collection, analysis and reporting of data, is driving decisionmaking in many institutions. However, because of the unique nature of each district’s or college’s data needs, many are building their own solutions.
For example, in 2014 the nonprofit company inBloom, Inc., backed by $100 million from the Gates Foundation and the Carnegie Foundation for the Advancement of Teaching, closed its doors amid controversy regarding its plan to store, clean and aggregate a range of student information for states and districts and then make the data available to district-approved third parties to develop tools and dashboards so the data could be used by classroom educators.22
Tips for Student Data Privacy
Know the Laws and Regulations
There are many regulations on the books intended to protect student privacy and safety: the Family Educational Rights and Privacy Act (FERPA), the Protection of Pupil Rights Amendment (PPRA), the Children’s Internet Protection Act (CIPA), the Children’s Online Privacy Protection Act (COPPA) and the Health Insurance Portability and Accountability Act (HIPAA)
— as well as state, district and community laws. Because technology changes so rapidly, it is unlikely laws and regulations will keep pace with new data protection needs. Establish a committee to ascertain your institution’s level of understanding of and compliance with these laws, along with additional safeguard measures.
Make a Checklist Your institution’s privacy policies should cover security, user safety, communications, social media, access, identification rules, and intrusion detection and prevention.
Communicate, Communicate, Communicate
Students, staff, faculty and parents all need to know their rights and responsibilities regarding data privacy. Convey your technology plans, policies and requirements and then assess and re-communicate those throughout each year.
“Anything-as-a-Service” or “X-as-a-Service” solutions can help K-12 and higher education institutions cope with big data by offering storage, analytics capabilities and more. These include:
• Infrastructure-as-a-Service (IaaS): Providers offer cloud-based storage, similar to a campus storage area network (SAN)
• Platform-as-a-Service (PaaS): Opens up application platforms — as opposed to the applications themselves — so others can build their own applications
using underlying operating systems, data models and databases; pre-built application components and interfaces
• Software-as-a-Service (SaaS): The hosting of applications in the cloud
• Big-Data-as-a-Service (BDaaS): Mix all the above together, upscale the amount of data involved by an enormous amount and you’ve got BDaaS
Use accurate data correctly
Define goals and develop metrics
Eliminate silos, integrate data
Remember, intelligence is the goal
Maintain a robust, supportive enterprise infrastructure.
Prioritize student privacy
Develop bullet-proof data governance guidelines
Create a culture of collaboration and sharing, not compliance.
more on big data in this IMS blog: