LinkedIn discussion from the group: Higher Education Teaching and Learning
more on e-learning in this IMS blog
LinkedIn discussion from the group: Higher Education Teaching and Learning
more on e-learning in this IMS blog
Henry Hwangbo http://usblogs.pwc.com/emerging-technology/the-future-of-collaboration-large-scale-visualization/
More data doesn’t automatically lead to better decisions. A shortage of skilled data scientists has hindered progress towards translation of information into actionable business insights. In addition, traditionally dense spreadsheets and linear slideshows are ineffective to present discoveries when dealing with Big Data’s dynamic nature. We need to evolve how we capture, analyze and communicate data.
Large-scale visualization platforms have several advantages over traditional presentation methods. They blur the line between the presenter and audience to increase the level of interactivity and collaboration. They also offer simultaneous views of both macro and micro perspectives, multi-user collaboration and real-time data interaction, and a limitless number of visualization possibilities – critical capabilities for rapidly understanding today’s large data sets.
Visualization walls enable presenters to target people’s preferred learning methods, thus creating a more effective communication tool. The human brain has an amazing ability to quickly glean insights from patterns – and great visualizations make for more efficient storytellers.
Grant: Visualizing Digital Scholarship in Libraries and Learning Spaces
Award amount: $40,000
Funder: Andrew W. Mellon Foundation
Lead institution: North Carolina State University Libraries
Due date: 13 August 2017
Notification date: 15 September 2017
NC State University, funded by the Andrew W. Mellon Foundation, invites proposals from institutions interested in participating in a new project for Visualizing Digital Scholarship in Libraries and Learning Spaces. The grant aims to 1) build a community of practice of scholars and librarians who work in large-scale multimedia to help visually immersive scholarly work enter the research lifecycle; and 2) overcome technical and resource barriers that limit the number of scholars and libraries who may produce digital scholarship for visualization environments and the impact of generated knowledge. Libraries and museums have made significant strides in pioneering the use of large-scale visualization technologies for research and learning. However, the utilization, scale, and impact of visualization environments and the scholarship created within them have not reached their fullest potential. A logical next step in the provision of technology-rich, visual academic spaces is to develop best practices and collaborative frameworks that can benefit individual institutions by building economies of scale among collaborators.
The project contains four major elements:
This call solicits proposals for block grants from library or museum systems that have visualization installations. Block grant recipients can utilize funds for ideas ranging from creating open source scholarly content for visualization environments to developing tools and templates to enhance sharing of visualization work. An advisory panel will select four institutions to receive awards of up to $40,000. Block grant recipients will also participate in the initial priority setting workshop and the culminating symposium. Participating in a block grant proposal does not disqualify an individual from later applying for one of the grant-supported scholar-in-residence appointments.
Applicants will provide a statement of work that describes the contributions that their organization will make toward the goals of the grant. Applicants will also provide a budget and budget justification.
Activities that can be funded through block grants include, but are not limited to:
Funding for operational expenditures, such as equipment, is not allowed for any grant participant.
Send an application to firstname.lastname@example.org by the end of the day on 13 August 2017 that includes the following:
Selection and Notification Process
An advisory panel made up of scholars, librarians, and technologists with experience and expertise in large-scale visualization and/or visual scholarship will review and rank proposals. The project leaders are especially keen to receive proposals that develop best practices and collaborative frameworks that can benefit individual institutions by building a community of practice and economies of scale among collaborators.
Awardees will be selected based on:
Awardees will be required to send a representative to an initial meeting of the project cohort in Fall 2017.
Awardees will be notified by 15 September 2017.
If you have any questions, please contact email@example.com.
–Mike Nutt Director of Visualization Services Digital Library Initiatives, NCSU Libraries
Forward-thinking educators are finding that technology can enhance their teaching methods, infuse new energy into their courses, and improve student learning.
But the latest cool technology is only cool if you know where, when, why, and how to use it. Join us in Baltimore for the 2017 Teaching with Technology Conference to learn best practices for effectively integrating technology into your courses.
Smartphones in the classroom
more on teaching with technology in this IMS blog
From attending class to talking with peers and professors, and from going to the local bookstore to having everything on a laptop in a dorm room, students on campus typically have a more “organic” learning experience than an online student who may not know how to best access these features of a higher education in an entirely mobile setting.
The essentials for getting started
Computer terms (Android) (Apple): Online learning means you’ll need to know basic computer technology terms. Both apps are free and break down terms ranging from words like “cache” to “hex code,” all in layman’s language.
Mint (Android) (Apple): Online learning students are usually financially savvy, looking for less expensive alternatives to traditional four-year tuition. This app allows students to keep careful track of personal finances and spending.
Study Tracker (Android) (Apple): These paid apps help track the time spent on courses, tasks and projects to help online students better manage their time and be able to visualize unique study patterns with the aim of ultimately improving efficiency.
To access actual courses (LMS)
My note: No D2L in this list, folks; choose carefully in 2018, when MnSCU renews its D2L license
For access to files and remote annotation
Marvin (Apple): A completely customizable eBook reader that includes DRM-free books, customizable formats, layouts, and reading gestures, as well as highlighting and annotations tools. Considered one of the best replacements for the Stanza app, which is now discontinued.
Pocket (Android): An app that allows students to save websites, blog posts, videos, and other online resources to access at a later time. It also saves the information to the device, meaning no internet connection is needed.
Wolfram Alpha (Android) (Apple): Considered the scholar’s version of Google, this app is a search engine that reveals precise information for natural-language searches. For example, if you ask “What is the graduation rate for Harvard?” the engine will bring up exact numbers with citations and suggestions for similar queries.
For online communication with peers and profs
Dragon Dictation (Android) (Apple): Create text messages, social media posts, blog posts and more by using your voice (speech-to-text). According to the company, Dragon Dictation is up to five times faster than typing on the keyboard.
Evernote (Android) (Apple): Whenever you look at a list of education apps, Evernote is usually listed. This app allows students to scribble notes, capture text, send notes to computers and other users, and much more for ultimate multi-media communication.
Hangouts (Android) (Apple): Google’s social network shines for its own online video chat solution, which lets teachers, students and third-party experts easily videoconference in groups—it’s even been used to broadcast presenters live to packed auditoriums. My note: desktopsharing is THE most important part. Alternatives: SCSU subscription for Adobe Connect. Skype also has desktopsharing capabilities
Tom’s planner (Web): A Gantt chart-based, online planning tool that uses color-coded charts to reveal work completed and many more features for project management.
more on online learning in this IMS blog
Instructor: John Russell Dates: August 7 to September 1, 2017
Credits: 1.5 CEUs Price: $175 http://libraryjuiceacademy.com/133-text-encoding.php
This course will introduce students to text encoding according to the Text Encoding Initiative (TEI) Guidelines. Why should you care about text encoding or the TEI Guidelines? The creation of digital scholarly texts is a core part of the digital humanities and many digital humanities grants and publications require encoding texts in accordance with the TEI Guidelines. Students in this course will learn about the use-cases for text encoding and get a basic introduction to the principles of scholarly editing before moving on to learning some XML basics and creating a small-scale TEI project using the XML editor oXygen. We will not cover (beyond the very basics) processing TEI, and students interested in learning about XSLT and/or XQuery should turn to the LJA courses offered on those subjects. This course as this course is intended as a follow up to the Introduction to Digital Humanities for Librarians course, but there are no prerequisites, and the course is open to all interested.
– A basic understanding of digital scholarly editing as an academic activity.
– Knowledge of standard TEI elements for encoding poetry and prose.
– Some engagement with more complex encoding practices, such as working with manuscripts.
– An understanding of how librarians have participated in text encoding.
– Deeper engagement with digital humanities practices.
John Russell is the Associate Director of the Center for Humanities and Information at Pennsylvania State University. He has been actively involved in digital humanities projects, primarily related to text encoding, and has taught courses and workshops on digital humanities methods, including “Introduction to Digital Humanities for Librarians.”
TEI: http://teibyexample.org/ Text Encoding Initiative
more on digital humanities in this IMS blog
How to spot a misleading graph
slide 31 in
more on how to create infographics in this IMS blog
a learning management system (LMS) is never the solution to every problem in education. Edtech is just one part of the whole learning ecosystem and student experience.
Therefore, the next generation digital learning environment (NGDLE), as envisioned by EDUCAUSE in 2015 … Looking at the NGDLE requirements from an LMS perspective, I view the NGDLE as being about five areas: interoperability; personalization; analytics, advising, and learning assessment; collaboration; accessibility and universal design.
Analytics, Advising, and Learning Assessment
Accessibility and Universal Design
The core analogy used in the NGDLE paper is that each component of the learning environment is a Lego brick:
Any “next-gen” attempt to completely rework the pedagogical model and introduce a “mash-up of whatever” to fulfil this model would fall victim to the same criticisms levied at the LMS today: there is too little time and training to expect faculty to figure out the nuances of implementation on their own.
The Lego metaphor works only if we’re talking about “old school” Lego design — bricks of two, three, and four-post pieces that neatly fit together. Modern edtech is a lot more like the modern Lego. There are wheels and rocket launchers and belts and all kinds of amazing pieces that work well with each other, but only when they are configured properly. A user cannot simply stick together different pieces and assume they will work harmoniously in creating an environment through which each student can be successful.
As the NGDLE paper states: “Despite the high percentages of LMS adoption, relatively few instructors use its more advanced features — just 41% of faculty surveyed report using the LMS ‘to promote interaction outside the classroom.'”
But this is what the next generation LMS is good at: being a central nervous system — or learning hub — through which a variety of learning activities and tools are used. This is also where the LMS needs to go: bringing together and making sense of all the amazing innovations happening around it. This is much harder to do, perhaps even impossible, if all the pieces involved are just bricks without anything to orchestrate them or to weave them together into a meaningful, personal experience for achieving well-defined learning outcomes.
My note: something just refused to be accepted at SCSU
Technologists are often very focused on the technology, but the reality is that the more deeply and closely we understand the pedagogy and the people in the institutions — students, faculty, instructional support staff, administrators — the better suited we are to actually making the tech work for them.
The challenge is that although 85 percent of faculty use a campus learning management system (LMS),1 a recent Blackboard report found that, out of 70,000 courses across 927 North American institutions, 53 percent of LMS usage was classified as supplemental(content-heavy, low interaction) and 24 percent as complementary (one-way communication via content/announcements/gradebook).2 Only 11 percent were characterized as social, 10 percent as evaluative (heavy use of assessment), and 2 percent as holistic (balanced use of all previous). Our FYE course required innovating beyond the supplemental course-level LMS to create a more holistic cohort-wide NGDLE in order to fully support the teaching, learning, and student success missions of the program.The key design goals for our NGDLE were to:
more on LMS in this blog
more on learning outcomes in this IMS blog
I pushed this idea four years ago (e.g. https://youtu.be/4vw0iID0huE) for the SCSU library and it was shut down
Rocking the Small Screen without Losing Your Mind
More on videos in the library in this IMS blog
more on VR in this IMS blog
By 2020 more than 50 billion things, ranging from cranes to coffee machines, will be connected to the internet. That means a lot of data will be created — too much data, in fact, to be manageable or to be kept forever affordably.
One by-product of more devices creating more data is that they are speaking lots of different programming languages. Machines are still using languages from the 1970s and 80s as well as the new languages of today. In short, applications need to have data translated for them — by an IoT babelfish, if you will — before they can make sense of the information.
Then there are analytics and data storage.
security becomes even more important as there is little human interaction in the flow of data from device to datacentre — so called machine-to-machine communication.
more on IOT in this IMS blog
more on industry 4.0 in this IMS blog
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