breakdown of IoT functionality, from Deloitte. They give 5 general types of services that IoT “things” can do:
Internal state: Heartbeat- and ping-like broadcasts of health, potentially including diagnostics and additional status reporting (for example, battery level, CPU/memory utilization, strength of network signal, up-time or software/platform version).
Location: Communication of physical location via GPS, GSM, triangulation or proximity techniques
Physical attributes: Monitoring the world surrounding the device, including altitude, orientation, temperature, humidity, radiation, air quality, noise and vibration
Functional attributes: Higher-level intelligence rooted in the device’s purpose for describing business process or workload attributes
Actuation services: Ability to remotely trigger, change or stop physical properties or actions on the device.
Examples of IoT in action
There are some pretty well-known IoT products that some of you already use, including:
Nest Thermostat (and others). These allow you to control your AC from your phone, anywhere that you can connect to the Internet.
Smart lights: Same concept, but for lights. You can turn lights on/off from your phone. Phillips Hue is an example of this
Bluetooth Trackers – Tile (https://www.thetileapp.com/) is an example of a Bluetooth Tracker. Put one on that thing you always lose (i.e., car keys). The next time you lose those keys, you can find them again via an app on your phone.
Smart Home appliances – things like Google Home, Amazon Echo, and Apple HomeKit.
Smart power switches – Belkin’s Wemo Insight Wi-Fi Smart Plug is an example. They let you turn the plug (and therefore anything connected to it) on and off, set schedules for the plug, monitor energy consumption and use, etc. You can also connect it to Amazon Alexa and Google Home for hands-free voice control
Health and exercise trackers – Fitbits “fit” into this category, too.
How does IoT affect libraries?
Here are some ways libraries are already incorporating IoT technology into their libraries:
Smart Building Technology: As libraries retrofit their buildings with newer technology (or build new buildings/branches), they are starting to see more IoT-based technology. For example, some libraries can can adjust heating, cooling and lights from a smartphone app. Some newer building monitoring and security systems can be monitored via mobile apps.
RFID: RFID technology (sensors in books) is a type of IoT technology, and has been around for awhile.
Beacon Technology: There are at least two library-focused companies experimenting with Beacon technology (Capira Technologies and Bluubeam).
People counters: Check out Jason Griffey’s Measure the Future project. Here’s what he says about Measure the Future: “Imagine having a Google-Analytics-style dashboard for your library building: number of visits, what patrons browsed, what parts of the library were busy during which parts of the day, and more. Measure the Future is working to make that happen by using open-hardware based sensors that can collect data about building usage that is now invisible. Making these invisible occurrences explicit will allow librarians to make strategic decisions that create more efficient and effective experiences for their patrons.”
Library classes! Libraries are also teaching classes about the Internet of Things. These include classes focused on introducing patrons to IoT technology, and classes that focus on an aspect of IoT, like a class on making things with Arduinos or how to use your new Fitbit.
Roughly half of U.S. teens say they spend too much time on their cellphones, according to research from Pew. About the same proportion of teens report taking steps to limit their use of the devices. Another survey found that about two-thirds of parents also worry their children spend too much time in front of screens; nearly 60% of parents report setting screen time restrictions for their children. The findings come as some technology companies introduce features to cut back on phone addiction.
Amid roiling debates about the impact of screen time on teenagers, roughly half of those ages 13 to 17 are themselves worried they spend too much time on their cellphones. Some 52% of U.S. teens report taking steps to cut back on their mobile phone use, and similar shares have tried to limit their use of social media (57%) or video games (58%), a new Pew Research Center survey finds.
Overall, 56% of teens associate the absence of their cellphone with at least one of these three emotions: loneliness, being upset or feeling anxious. Additionally, girls are more likely than boys to feel anxious or lonely without their cellphone.
The vast majority of teens in the United States have access to a smartphone, and 45% are online on a near constant basis. The ubiquity of social media and cellphones and other devices in teens’ lives has fueled heated discussions over the effects of excessive screen time and parents’ role in limiting teens’ screen exposure. In recent months, many major technology companies, including Google and Apple, have announced new products aimed at helping adults and teens monitor and manage their online usage.
Girls are somewhat more likely than boys to say they spend too much time on social media (47% vs. 35%).
Meanwhile, 31% of teens say they lose focus in class because they are checking their cellphone – though just 8% say this often happens to them, and 38% say it never does.
Girls are more likely than boys to express feelings of anxiety (by a 49% to 35% margin) and loneliness (by a 32% to 20% margin) when they do not have their phone with them.
despite China’s many technological advances, in this new cyberspace race, the West had the lead.
Xi knew he had to act. Within twelve months he revealed his plan to make China a science and technology superpower. By 2030 the country would lead the world in AI, with a sector worth $150 billion. How? By teaching a generation of young Chinese to be the best computer scientists in the world.
Today, the US tech sector has its pick of the finest minds from across the world, importing top talent from other countries – including from China. Over half of Bay Area workers are highly-skilled immigrants. But with the growth of economies worldwide and a Presidential administration hell-bent on restricting visas, it’s unclear that approach can last.
In the UK the situation is even worse. Here, the government predicts there’ll be a shortfall of three million employees for high-skilled jobs by 2022 – even before you factor in the immigration crunch of Brexit. By contrast, China is plotting a homegrown strategy of local and national talent development programs. It may prove a masterstroke.
In 2013 the city’s teenagers gained global renown when they topped the charts in the PISA tests administered every three years by the OECD to see which country’s kids are the smartest in the world. Aged 15, Shanghai students were on average three full years ahead of their counterparts in the UK or US in maths and one-and-a-half years ahead in science.
Teachers, too, were expected to be learners. Unlike in the UK, where, when I began to teach a decade ago, you might be working on full-stops with eleven-year-olds then taking eighteen-year-olds through the finer points of poetry, teachers in Shanghai specialised not only in a subject area, but also an age-group.
Shanghai’s success owed a lot to Confucian tradition, but it fitted precisely the best contemporary understanding of how expertise is developed. In his book Why Don’t Kids Like School? cognitive Dan Willingham explains that complex mental skills like creativity and critical thinking depend on our first having mastered the simple stuff. Memorisation and repetition of the basics serve to lay down the neural architecture that creates automaticity of thought, ultimately freeing up space in our working memory to think big.
Seung-bin Lee, a seventeen-year-old high school graduate, told me of studying fourteen hours a day, seven days a week, for the three years leading up to the Suneung, the fearsome SAT exam taken by all Korean school leavers on a single Thursday each November, for which all flights are grounded so as not to break students’ concentration during the 45 minutes of the English listening paper.
Korea’s childhoods were being lost to a relentless regime of studying, crushed in a top-down system that saw them as cyphers rather than kids.
A decade ago, we consoled ourselves that although kids in China and Korea worked harder and did better on tests than ours, it didn’t matter. They were compliant, unthinking drones, lacking the creativity, critical thinking or entrepreneurialism needed to succeed in the world. No longer. Though there are still issues with Chinese education – urban centres like Shanghai and Hong Kong are positive outliers – the country knows something that we once did: education is the one investment on which a return is guaranteed. China is on course to becoming the first education superpower.
Troublingly, where education in the UK and US has been defined by creativity and independent thinking – Shanghai teachers told me of visits to our schools to learn about these qualities – our direction of travel is now away from those strengths and towards exams and standardisation, with school-readiness tests in the pipeline and UK schools minister Nick Gibb suggesting kids can beat exam stress by sitting more of them. Centres of excellence remain, but increasingly, it feels, we’re putting our children at risk of losing out to the robots, while China is building on its strong foundations to ask how its young people can be high-tech pioneers. They’re thinking big – we’re thinking of test scores.
soon “digital information processing” would be included as a core subject on China’s national graduation exam – the Gaokao – and pictured classrooms in which students would learn in cross-disciplinary fashion, designing mobile phones for example, in order to develop design, engineering and computing skills. Focusing on teaching kids to code was short-sighted, he explained. “We still regard it as a language between human and computer.” (My note: they are practically implementing the Finland’s attempt to rebuild curricula)
“If your plan is for one year,” went an old Chinese saying, “plant rice. If your plan is for ten years, plant trees. If your plan is for 100 years, educate children.” Two and half thousand years later chancellor Gwan Zhong might update his proverb, swapping rice for bitcoin and trees for artificial intelligence, but I’m sure he’d stand by his final point.
As online education expands, students are bringing old-fashioned cheating into the digital age
According to the latest report from Babson Survey Research Group, nearly 6.5 million American undergraduates now take at least one course online
1. Listen to students and faculty. Every college, university, or online-learning provider has a different approach to online learning. At Indiana University, where more than 30 percent of students take at least one online course, the online education team has launched Next.IU, an innovative pilot program to solicit feedback from the campus community before making any major edtech decision. By soliciting direct feedback from students and faculty, institutions can avoid technical difficulties and secure support before rolling out the technology campus-wide.
2. Go mobile. Nine in 10 undergraduates own a smartphone, and the majority of online students complete some coursework on a mobile device. Tapping into the near-ubiquity of mobile computing on campus can help streamline the proctoring and verification process. Rather than having to log onto a desktop, students can use features like fingerprint scan and facial recognition that are already integrated into most smartphones to verify their identity directly from their mobile device.
For a growing number of students, mobile technology is the most accessible way to engage in online coursework, so mobile verification provides not only a set of advanced security tools, but also a way for universities to meet students where they are.
3. Learn from the data. Analytical approaches to online test security are still in the early stages. Schools may be more susceptible to online “heists” if they are of a certain size or administer exams in a certain way, but institutions need data to benchmark against their peers and identify pain points in their approach to proctoring.
In an initial pilot with 325,000 students, for instance, we found that cheating rose and fell with the seasons—falling from 6.62 percent to 5.49 percent from fall to spring, but rising to a new high of 6.65 percent during the summer.
Publisher / Organization: Athabasca University Press
Year founded: 2000
Description: The International Review of Research in Open and Distributed Learning disseminates original research, theory, and best practice in open and distributed learning worldwide.
Publisher / Organization: The University of Illinois at Chicago- University Library
Year founded: 1996
Description: First Monday is among the very first open access journals in the EdTech field. The journal’s subject matter encompasses the full range of Internet issues, including educational technologies, social media and web search. Contributors are urged via author guidelines to use simple explanations and less complex sentences and to be mindful that a large proportion of their readers are not part of academia and do not have English as a first language.
Academic Management: University of Catalonia (UOC)
Year founded: 2004
Description: This journal aims to: provide a vehicle for scholarly presentation and exchange of information between professionals, researchers and practitioners in the technology-enhanced education field; contribute to the advancement of scientific knowledge regarding the use of technology and computers in higher education; and inform readers about the latest developments in the application of information technologies (ITs) in higher education learning, training, research and management.
Description: Online Learning promotes the development and dissemination of new knowledge at the intersection of pedagogy, emerging technology, policy, and practice in online environments. The journal has been published for over 20 years as the Journal of Asynchronous Learning Networks (JALN) and recently merged with the Journal of Online Learning and Teaching (JOLT).
Publisher / Organization: International Forum of Educational Technology & Society
Year founded:1998
Description: Educational Technology & Society seeks academic articles on the issues affecting the developers of educational systems and educators who implement and manage these systems. Articles should discuss the perspectives of both communities – the programmers and the instructors. The journal is currently still accepting submissions for ongoing special issues, but will cease publication in the future as the editors feel that the field of EdTech is saturated with high quality publications.
Description: The Australasian Journal of Educational Technology aims to promote research and scholarship on the integration of technology in tertiary education, promote effective practice, and inform policy. The goal is to advance understanding of educational technology in post-school education settings, including higher and further education, lifelong learning, and training.
DESCRIPTION: The Internet and Higher Education is devoted to addressing contemporary issues and future developments related to online learning, teaching, and administration on the Internet in post-secondary settings. Articles should significantly address innovative deployments of Internet technology in instruction and report on research to demonstrate the effects of information technology on instruction in various contexts in higher education.
Publisher / Organization: British Educational Research Association (BERA)
YEAR FOUNDED: 1970
DESCRIPTION: The journal publishes theoretical perspectives, methodological developments and empirical research that demonstrate whether and how applications of instructional/educational technology systems, networks, tools and resources lead to improvements in formal and non-formal education at all levels, from early years through to higher, technical and vocational education, professional development and corporate training.
Description: Computers & Education aims to increase knowledge and understanding of ways in which digital technology can enhance education, through the publication of high quality research, which extends theory and practice.
Description: TechTrends targets professionals in the educational communication and technology field. It provides a vehicle that fosters the exchange of important and current information among professional practitioners. Among the topics addressed are the management of media and programs, the application of educational technology principles and techniques to instructional programs, and corporate and military training.
Description: Advances in technology and the growth of e-learning to provide educators and trainers with unique opportunities to enhance learning and teaching in corporate, government, healthcare, and higher education. IJEL serves as a forum to facilitate the international exchange of information on the current research, development, and practice of e-learning in these sectors.
Led by an Editorial Review Board of leaders in the field of e-Learning, the Journal is designed for the following audiences: researchers, developers, and practitioners in corporate, government, healthcare, and higher education. IJEL is a peer-reviewed journal.
Description: JCMST is a highly respected scholarly journal which offers an in-depth forum for the interchange of information in the fields of science, mathematics, and computer science. JCMST is the only periodical devoted specifically to using information technology in the teaching of mathematics and science.
Just as researchers build reputation over time that can be depicted (in part) through quantitative measures such as h-index and i10-index, journals are also compared based on the number of citations they receive..
Description: The Journal of Interactive Learning Research (JILR) publishes papers related to the underlying theory, design, implementation, effectiveness, and impact on education and training of the following interactive learning environments: authoring systems, cognitive tools for learning computer-assisted language learning computer-based assessment systems, computer-based training computer-mediated communications, computer-supported collaborative learning distributed learning environments, electronic performance support systems interactive learning environments, interactive multimedia systems interactive simulations and games, intelligent agents on the Internet intelligent tutoring systems, microworlds, virtual reality based learning systems.
Description: JEMH is designed to provide a multi-disciplinary forum to present and discuss research, development and applications of multimedia and hypermedia in education. It contributes to the advancement of the theory and practice of learning and teaching in environments that integrate images, sound, text, and data.
Publisher / Organization: Society for Information Technology and Teacher Education (SITE)
Year founded: 1997
Description: JTATE serves as a forum for the exchange of knowledge about the use of information technology in teacher education. Journal content covers preservice and inservice teacher education, graduate programs in areas such as curriculum and instruction, educational administration, staff development instructional technology, and educational computing.
Publisher / Organization: Association for the Advancement of Computing in Education (AACE)
YEAR FOUNDED: 2015
DESCRIPTION: The Journal of Online Learning Research (JOLR) is a peer-reviewed, international journal devoted to the theoretical, empirical, and pragmatic understanding of technologies and their impact on primary and secondary pedagogy and policy in primary and secondary (K-12) online and blended environments. JOLR is focused on publishing manuscripts that address online learning, catering particularly to the educators who research, practice, design, and/or administer in primary and secondary schooling in online settings. However, the journal also serves those educators who have chosen to blend online learning tools and strategies in their face-to-face classroom.
The most commonly used index to measure the relative importance of journals is the annual Journal Citation Reports (JCR). This report is published by Clarivate Analytics (previously Thomson Reuters).
SCImago Journal Rank (SJR indicator) measures the influence of journals based on the number of citations the articles in the journal receive and the importance or prestige of the journals where such citations come from. The SJR indicator is a free journal metric which uses an algorithm similar to PageRank and provides an open access alternative to the journal impact factor in the Web of Science Journal Citation Report. The portal draws from the information contained in the Scopus database (Elsevier B.V.).
Introduced by Google in 2004, Scholar is a freely accessible search engine that indexes the full text or metadata of scholarly publications across an array of publishing formats and disciplines.
Introduced by Elsevier in 2004, Scopus is an abstract and citation database that covers nearly 18,000 titles from more than 5,000 publishers. It offers journal metrics that go beyond just journals to include most serial titles, including supplements, special issues and conference proceedings. Scopus offers useful information such as the total number of citations, the total number of articles published, and the percent of articles cited.
Anne-Wil Harzing:
“Citations are not just a reflection of the impact that a particular piece of academic work has generated. Citations can be used to tell stories about academics, journals and fields of research, but they can also be used to distort stories”.
Harzing, A.-W. (2013). The publish or perish book: Your guide to effective and responsible citation analysis. http://harzing.com/popbook/index.htm
ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. The community was founded in May 2008. Today it has over 14 million members.
Google Scholar allows users to search for digital or physical copies of articles, whether online or in libraries. It indexes “full-text journal articles, technical reports, preprints, theses, books, and other documents, including selected Web pages that are deemed to be ‘scholarly. It comprises an estimated 160 million documents.
Academia.edu is a social-networking platform for academics to share research papers. You can upload your own work, and follow the updates of your peers. Founded in 2008, the network currently has 59 million users, and adding 20 million documents.
The ORCHID (Open Researcher and Contributor ID) is a nonproprietary alphanumeric code to uniquely identify scientific and other academic authors and contributors. It provides a persistent identity for humans, similar to content-related entities on digital networks that utilize digital object identifiers (DOIs). The organization offers an open and independent registry intended to be the de facto standard for contributor identification in research and academic publishing.
The Scopus Author Identifier assigns a unique number to groups of documents written by the same author via an algorithm that matches authorship based on a certain criteria. If a document cannot be confidently matched with an author identifier, it is grouped separately. In this case, you may see more than one entry for the same author.
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more on metrics in this iMS blog
The key campus tech issues are no longer about IT (in the past e.g.: MS versus Apple). IT is the “easy part” of technology on campus. The challenges: people, planning policy, programs, priorities, silos, egos, and IT entitlements
How do we make Digital Learning compelling and safe for the faculty? provide evidence of impact, support, recognition and reward for faculty; communicate about effectiveness of and need for IT resources.
technology is not capital cost, it is operational cost. reoccurring.
Visualization:
underlying issues; can i do this? why should i do this? evidence of benefit?
the more things change, the more things stay the same. new equilibrium.
change: from what did you do wrong to how do we do better. Use data as a resources, not as a weapon. there is a fear of trying, because there is no recognition or reward
Machiavelli: 1. concentrate your efforts 2. pick your issues carefully, know when to fight 3. know the history 4. build coalitions 5. set modest goals – and realistic 6. leverage the value of data (use it as resource not weapon) 7. anticipate personnel turnover 8. set deadlines for decisions
Colleagues,
We apologize for the short notice, but wanted to make you aware of the following opportunity: provide
From Ken Graetz at Winona State University:
As part of our Digital Faculty Fellows Program at WSU, Dr. Kenneth C. Green will be speaking this Thursday, March 22nd in Stark 103 Miller Auditorium from 11:30 to 12:30 on “Innovation, Infrastructure, and Digital Learning.” We will be streaming Casey’s talk using Skype Meeting Broadcast and you can join as a guest using the following link: Join the presentation. This will allow you to see and hear his presentation, as well as post moderated questions. By way of a teaser, here is a recent quote from Dr. Green’s blog, DigitalTweed, published by Inside Higher Ed:
“If trustees, presidents, provosts, deans, and department chairs really want to address the fear of trying and foster innovation in instruction, then they have to recognize that infrastructure fosters innovation. And infrastructure, in the context of technology and instruction, involves more than just computer hardware, software, digital projectors in classrooms, learning management systems, and campus web sites. The technology is actually the easy part. The real challenges involve a commitment to research about the impact of innovation in instruction, and recognition and reward for those faculty who would like to pursue innovation in their instructional activities.”
Dr. Green is the founding director of The Campus Computing Project, the largest continuing study of the role of digital learning and information technology in American colleges and universities. Campus Computing is widely cited as a definitive source for data, information, and insight about IT planning and policy issues affecting higher education. Dr. Green also serves as the director, moderator, and co-producer of TO A DEGREE, the postsecondary success podcast of the Bill & Melinda Gates Foundation. He is the author or editor of some 20 books and published research reports and more than 100 articles and commentaries that have appeared in academic journals and professional publications. In 2002, Dr. Green received the first EDUCAUSE Award for Leadership in Public Policy and Practice. The EDUCAUSE award cites his work in creating The Campus Computing Project and recognizes his, “prominence in the arena of national and international technology agendas, and the linking of higher education to those agendas.”
It is maintained by Facebook, Instagram and a community of individual developers and corporations.[3][4][5]
React allows developers to create large web-applications that use data and can change over time without reloading the page. It aims primarily to provide speed, simplicity, and scalability. React processes only user interfaces in applications. This corresponds to View in the Model-View-Controller (MVC) pattern, and can be used in combination with other JavaScript libraries or frameworks in MVC, such as AngularJS.[6]
