tools

NEW: The Top Tools for Learning 2018 [Jane Hart]

On 09/29/2018, in A/V -- audio/visual, active learning, adjunct faculty, Adobe, adult learning, animation, Apple, Asia, assistive technologies, Australia, blended learning, blogs / blogging / vlogging, Canada, career development, change, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, design, digital audio, digital learning, digital photography, digital storytelling, digital video, distance education, e-publishing related items (EPUB and more), e-readers, education, education technology, educational games / serious games, elearning, Europe, Google, graphics, heutagogy, higher education, homeschooling/homeschoolers, India, instructional design, internet, IT in HE, K-12 related, learning, learning ecosystem, lifelong learning, media/film, microlearning, Microsoft, mobile learning, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, online learning, platforms, podcasting, presentations, productivity / tips and tricks, professional development, smart classrooms, social learning / networks, social media, society, story, storytelling, streams of content, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, technologies for your home, technology (general), telecommunications, tools, training / L&D, trends, UK, United States, universities, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, web design and production, web-based collaboration, workplace, by Daniel Christian

The above was from Jane’s posting 10 Trends for Digital Learning in 2018 — from modernworkplacelearning.com by Jane Hart

Excerpt:

[On 9/24/18], I released the Top Tools for Learning 2018 , which I compiled from the results of the 12th Annual Digital Learning Tools Survey.

I have also categorised the tools into 30 different areas, and produced 3 sub-lists that provide some context to how the tools are being used:

Top 100 Tools for Personal & Professional Learning 2018 (PPL100): the digital tools used by individuals for their own self-improvement, learning and development – both inside and outside the workplace.
Top 100 Tools for Workplace Learning (WPL100): the digital tools used to design, deliver, enable and/or support learning in the workplace.
Top 100 Tools for Education (EDU100): the digital tools used by educators and students in schools, colleges, universities, adult education etc.

3 – Web courses are increasing in popularity.
Although Coursera is still the most popular web course platform, there are, in fact, now 12 web course platforms on the list. New additions this year include Udacity and Highbrow (the latter provides daily micro-lessons). It is clear that people like these platforms because they can chose what they want to study as well as how they want to study, ie. they can dip in and out if they want to and no-one is going to tell them off – which is unlike most corporate online courses which have a prescribed path through them and their use is heavily monitored.

5 – Learning at work is becoming personal and continuous.
The most significant feature of the list this year is the huge leap up the list that Degreed has made – up 86 places to 47th place – the biggest increase by any tool this year. Degreed is a lifelong learning platform and provides the opportunity for individuals to own their expertise and development through a continuous learning approach. And, interestingly, Degreed appears both on the PPL100 (at 30) and WPL100 (at 52). This suggests that some organisations are beginning to see the importance of personal, continuous learning at work. Indeed, another platform that underpins this, has also moved up the list significantly this year, too. Anders Pink is a smart curation platform available for both individuals and teams which delivers daily curated resources on specified topics. Non-traditional learning platforms are therefore coming to the forefront, as the next point further shows.

From DSC:
Perhaps some foreshadowing of the presence of a powerful, online-based, next generation learning platform…?

How AI could help solve some of society’s toughest problems — from technologyreview.com by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.

Excerpt:

Fei Fang has saved lives. But she isn’t a lifeguard, medical doctor, or superhero. She’s an assistant professor at Carnegie Mellon University, specializing in artificial intelligence for societal challenges.

At MIT Technology Review’s EmTech conference on Wednesday, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.

How AI can be a force for good — from science.sciencemag.org by Mariarosaria Taddeo & Luciano Floridi

Excerpts:

Invisibility and Influence
AI supports services, platforms, and devices that are ubiquitous and used on a daily basis. In 2017, the International Federation of Robotics suggested that by 2020, more than 1.7 million new AI-powered robots will be installed in factories worldwide. In the same year, the company Juniper Networks issued a report estimating that, by 2022, 55% of households worldwide will have a voice assistant, like Amazon Alexa.

As it matures and disseminates, AI blends into our lives, experiences, and environments and becomes an invisible facilitator that mediates our interactions in a convenient, barely noticeable way. While creating new opportunities, this invisible integration of AI into our environments poses further ethical issues. Some are domain-dependent. For example, trust and transparency are crucial when embedding AI solutions in homes, schools, or hospitals, whereas equality, fairness, and the protection of creativity and rights of employees are essential in the integration of AI in the workplace. But the integration of AI also poses another fundamental risk: the erosion of human self-determination due to the invisibility and influencing power of AI.

…

To deal with the risks posed by AI, it is imperative to identify the right set of fundamental ethical principles to inform the design, regulation, and use of AI and leverage it to benefit as well as respect individuals and societies. It is not an easy task, as ethical principles may vary depending on cultural contexts and the domain of analysis. This is a problem that the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems tackles with the aim of advancing public debate on the values and principles that should underpin ethical uses of AI.

Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart

Excerpt:

That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?

This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.

Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval

Excerpt:

“We could afford if we wanted to, and if we needed, to be surveilling pretty much the whole word with autonomous drones of various kinds,” Moore said. “I’m not saying we’d want to do that, but there’s not a technology gap there where I think it’s actually too difficult to do. This is now practical.”

…

Google’s decision to hire Moore was greeted with displeasure by at least one former Googler who objected to Project Maven.

“It’s worrisome to note after the widespread internal dissent against Maven that Google would hire Andrew Moore,” said one former Google employee. “Googlers want less alignment with the military-industrial complex, not more. This hire is like a punch in the face to the over 4,000 Googlers who signed the Cancel Maven letter.”

Organizations Are Gearing Up for More Ethical and Responsible Use of Artificial Intelligence, Finds Study — from businesswire.com
Ninety-two percent of AI leaders train their technologists in ethics; 74 percent evaluate AI outcomes weekly, says report from SAS, Accenture Applied Intelligence, Intel, and Forbes Insights

Excerpt:

AI oversight is not optional

Despite popular messages suggesting AI operates independently of human intervention, the research shows that AI leaders recognize that oversight is not optional for these technologies. Nearly three-quarters (74 percent) of AI leaders reported careful oversight with at least weekly review or evaluation of outcomes (less successful AI adopters: 33 percent). Additionally, 43 percent of AI leaders shared that their organization has a process for augmenting or overriding results deemed questionable during review (less successful AI adopters: 28 percent).

Do robots have rights? Here’s what 10 people and 1 robot have to say — from createdigital.org.au
When it comes to the future of technology, nothing is straightforward, and that includes the array of ethical issues that engineers encounter through their work with robots and AI.

Download the new Metacognition Sheet from retrievalpractice.org

Will #AI — in real-time — be able to present helpful resources in the smart classroom of the future? [Christian]

On 09/26/2018, in 21st century, A/V -- audio/visual, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, bots, cloud-based computing / apps / other cloud-related, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, education technology, emerging technologies, face-to-face, formal learning, future, future of higher education, game-changing environment, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, lifelong learning, Microsoft, Natural Language Processing (NLP), online learning, platforms, productivity / tips and tricks, smart classrooms, tools, training / L&D, universities, user experience (UX), voice recognition / voice enabled interfaces, web-based collaboration, by Daniel Christian

From DSC:
Microsoft’s conference room of the future “listens” to the conversations of the team and provides a transcript of the meeting. It also is using “artificial intelligence tools to then act on what meeting participants say. If someone says ‘I’ll follow up with you next week,’ then they’ll get a notification in Microsoft Teams, Microsoft’s Slack competitor, to actually act on that promise.”

This made me wonder about our learning spaces in the future. Will an #AI-based device/cloud-based software app — in real-time — be able to “listen” to the discussion in a classroom and present helpful resources in the smart classroom of the future (i.e., websites, online-based databases, journal articles, and more)?

Will this be a feature of a next generation learning platform as well (i.e., addressing the online-based learning realm)? Will this be a piece of an intelligent tutor or an intelligent system?

Hmmm…time will tell.

Also see this article out at Forbes.com entitled, “There’s Nothing Artificial About How AI Is Changing The Workplace.”

Here is an excerpt:

The New Meeting Scribe: Artificial Intelligence

As I write this, AI has already begun to make video meetings even better. You no longer have to spend time entering codes or clicking buttons to launch a meeting. Instead, with voice-based AI, video conference users can start, join or end a meeting by simply speaking a command (think about how you interact with Alexa).

Voice-to-text transcription, another artificial intelligence feature offered by Otter Voice Meeting Notes (from AISense, a Zoom partner), Voicefox and others, can take notes during video meetings, leaving you and your team free to concentrate on what’s being said or shown. AI-based voice-to-text transcription can identify each speaker in the meeting and save you time by letting you skim the transcript, search and analyze it for certain meeting segments or words, then jump to those mentions in the script. Over 65% of respondents from the Zoom survey said they think AI will save them at least one hour a week of busy work, with many claiming it will save them one to five hours a week.

To higher ed: When the race track is going 180mph, you can’t walk or jog onto the track. [Christian]

On 09/25/2018, in 21st century, 24x7x365 access, accreditation, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), Blockchain, bots, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, cost of getting a degree, curriculum, dangers of the status quo, Daniel S. Christian, digital learning, disruption, distance education, education reform, education technology, emerging technologies, engineering, entrepreneurship, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, internet, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Mixed Reality (MR), more voice more choice more control, online learning, organizational change, pace of change, personalized/customized learning, platforms, professional development, robotics, science, social learning / networks, society, staying relevant, student-related, surviving, technologies for your home, technology (general), tools, training / L&D, TVs, universities, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, web-based collaboration, XR - extended reality, by Daniel Christian

From DSC:
When the race track is going 180mph, you can’t walk or jog onto the track. What do I mean by that?

Consider this quote from an article that Jeanne Meister wrote out at Forbes entitled, “The Future of Work: Three New HR Roles in the Age of Artificial Intelligence:”*

This emphasis on learning new skills in the age of AI is reinforced by the most recent report on the future of work from McKinsey which suggests that as many as 375 million workers around the world may need to switch occupational categories and learn new skills because approximately 60% of jobs will have least one-third of their work activities able to be automated.

Go scan the job openings and you will likely see many that have to do with technology, and increasingly, with emerging technologies such as artificial intelligence, deep learning, machine learning, virtual reality, augmented reality, mixed reality, big data, cloud-based services, robotics, automation, bots, algorithm development, blockchain, and more.

From Robert Half’s 2019 Technology Salary Guide

How many of us have those kinds of skills? Did we get that training in the community colleges, colleges, and universities that we went to? Highly unlikely — even if you graduated from one of those institutions only 5-10 years ago. And many of those institutions are often moving at the pace of a nice leisurely walk, with some moving at a jog, even fewer are sprinting. But all of them are now being asked to enter a race track that’s moving at 180mph. Higher ed — and society at large — are not used to moving at this pace.

This is why I think that higher education and its regional accrediting organizations are going to either need to up their game hugely — and go through a paradigm shift in the required thinking/programming/curricula/level of responsiveness — or watch while alternatives to institutions of traditional higher education increasingly attract their learners away from them.

This is also, why I think we’ll see an online-based, next generation learning platform take place. It will be much more nimble — able to offer up-to-the minute, in-demand skills and competencies.

The below graphic is from:
Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages

* Three New HR Roles To Create Compelling Employee Experiences
These new HR roles include:

IBM: Vice President, Data, AI & Offering Strategy, HR
Kraft Heinz Senior Vice President Global HR, Performance and IT
SunTrust Senior Vice President Employee Wellbeing & Benefits

What do these three roles have in common? All have been created in the last three years and acknowledge the growing importance of a company’s commitment to create a compelling employee experience by using data, research, and predictive analytics to better serve the needs of employees. In each case, the employee assuming the new role also brought a new set of skills and capabilities into HR. And importantly, the new roles created in HR address a common vision: create a compelling employee experience that mirrors a company’s customer experience.

An excerpt from McKinsey Global Institute | Notes from the Frontier | Modeling the Impact of AI on the World Economy

Workers.
A widening gap may also unfold at the level of individual workers. Demand for jobs could shift away from repetitive tasks toward those that are socially and cognitively driven and others that involve activities that are hard to automate and require more digital skills.12 Job profiles characterized by repetitive tasks and activities that require low digital skills may experience the largest decline as a share of total employment, from some 40 percent to near 30 percent by 2030. The largest gain in share may be in nonrepetitive activities and those that require high digital skills, rising from some 40 percent to more than 50 percent. These shifts in employment would have an impact on wages. We simulate that around 13 percent of the total wage bill could shift to categories requiring nonrepetitive and high digital skills, where incomes could rise, while workers in the repetitive and low digital skills categories may potentially experience stagnation or even a cut in their wages. The share of the total wage bill of the latter group could decline from 33 to 20 percent.13 Direct consequences of this widening gap in employment and wages would be an intensifying war for people, particularly those skilled in developing and utilizing AI tools, and structural excess supply for a still relatively high portion of people lacking the digital and cognitive skills necessary to work with machines.

How AI could help solve some of society’s toughest problems — from MIT Tech Review by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.

Excerpt:

At MIT Technology Review’s EmTech conference, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.

Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval

Andrew Moore, the new chief of Google Cloud AI, co-chairs a task force on AI and national security with deep defense sector ties.
Moore leads the task force with Robert Work, the man who reportedly helped to create Project Maven.
Moore has given various talks about the role of AI and defense, once noting that it was now possible to deploy drones capable of surveilling “pretty much the whole world.”
One former Googler told Business Insider that the hiring of Moore is a “punch in the face” to those employees.

How AI can be a force for good — from science.sciencemag.org

Excerpt:

The AI revolution is equally significant, and humanity must not make the same mistake again. It is imperative to address new questions about the nature of post-AI societies and the values that should underpin the design, regulation, and use of AI in these societies. This is why initiatives like the abovementioned AI4People and IEEE projects, the European Union (EU) strategy for AI, the EU Declaration of Cooperation on Artificial Intelligence, and the Partnership on Artificial Intelligence to Benefit People and Society are so important (see the supplementary materials for suggested further reading). A coordinated effort by civil society, politics, business, and academia will help to identify and pursue the best strategies to make AI a force for good and unlock its potential to foster human flourishing while respecting human dignity.

Ethical regulation of the design and use of AI is a complex but necessary task. The alternative may lead to devaluation of individual rights and social values, rejection of AI-based innovation, and ultimately a missed opportunity to use AI to improve individual wellbeing and social welfare.

Robot wars — from ethicaljournalismnetwork.org by James Ball
How artificial intelligence will define the future of news

Excerpt:

There are two paths ahead in the future of journalism, and both of them are shaped by artificial intelligence.

The first is a future in which newsrooms and their reporters are robust: Thanks to the use of artificial intelligence, high-quality reporting has been enhanced. Not only do AI scripts manage the writing of simple day-to-day articles such as companies’ quarterly earnings updates, they also monitor and track masses of data for outliers, flagging these to human reporters to investigate.

Beyond business journalism, comprehensive sports stats AIs keep key figures in the hands of sports journalists, letting them focus on the games and the stories around them. The automated future has worked.

The alternative is very different. In this world, AI reporters have replaced their human counterparts and left accountability journalism hollowed out. Facing financial pressure, news organizations embraced AI to handle much of their day-to-day reporting, first for their financial and sports sections, then bringing in more advanced scripts capable of reshaping wire copy to suit their outlet’s political agenda. A few banner hires remain, but there is virtually no career path for those who would hope to replace them ? and stories that can’t be tackled by AI are generally missed.

Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart

Excerpt:

That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?

This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.

Alibaba looks to arm hotels, cities with its AI technology — from zdnet.com by Eileen Yu
Chinese internet giant is touting the use of artificial intelligence technology to arm drivers with real-time data on road conditions as well as robots in the hospitality sector, where they can deliver meals and laundry to guests.

Excerpt:

Alibaba A.I. Labs’ general manager Chen Lijuan said the new robots aimed to “bridge the gap” between guest needs and their expected response time. Describing the robot as the next evolution towards smart hotels, Chen said it tapped AI technology to address painpoints in the hospitality sector, such as improving service efficiencies.

Alibaba is hoping the robot can ease hotels’ dependence on human labour by fulfilling a range of tasks, including delivering meals and taking the laundry to guests.

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient’s Health and Care Using the Accenture Intelligent Patient Platform — from marketwatch.com

Excerpt:

Accenture has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient’s health and overall experience, the bots are part of Accenture’s Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon’s Alexa.

German firm’s 7 commandments for ethical AI — from france24.com

Excerpt:

FRANKFURT AM MAIN (AFP) –
German business software giant SAP published Tuesday an ethics code to govern its research into artificial intelligence (AI), aiming to prevent the technology infringing on people’s rights, displacing workers or inheriting biases from its human designers.

Skype chats are coming to Alexa devices — from engadget.com by Richard Lawlor
Voice controlled internet calls to or from any device with Amazon’s system in it.

Excerpt:

Aside from all of the Alexa-connected hardware, there’s one more big development coming for Amazon’s technology: integration with Skype. Microsoft and Amazon said that voice and video calls via the service will come to Alexa devices (including Microsoft’s Xbox One) with calls that you can start and control just by voice.

Amazon Hardware Event 2018
From techcrunch.com

Echo HomePod? Amazon wants you to build your own — by Brian Heater
One of the bigger surprises at today’s big Amazon event was something the company didn’t announce. After a couple of years of speculation that the company was working on its own version of the Home…

The long list of new Alexa devices Amazon announced at its hardware event — by Lucas Matney
Everyone’s favorite trillion-dollar retailer hosted a private event today where they continued to…

Amazon introduces APL, a new design language for building Alexa skills for devices with screens— by Sarah Perez
Along with the launch of the all-new Echo Show, the Alexa-powered device with a screen, Amazon also introduced a new design language for developers who want to build voice skills that include multimedia…

Excerpt:

Called Alexa Presentation Language, or APL, developers will be able to build voice-based apps that also include things like images, graphics, slideshows and video, and easily customize them for different device types – including not only the Echo Show, but other Alexa-enabled devices like Fire TV, Fire Tablet, and the small screen of the Alexa alarm clock, the Echo Spot.

From DSC:
This is a great move by Amazon — as NLP and our voices become increasingly important in how we “drive” and utilize our computing devices.

Amazon launches an Echo Wall Clock, because Alexa is gonna be everywhere — by Sarah Perez

Amazon’s new Echo lineup targets Google, Apple and Sonos — from engadget.com by Nicole Lee
Alexa, dominate the industry.

The business plan from here is clear: Companies pay a premium to be activated when users pose questions related to their products and services. “How do you cook an egg?” could pull up a Food Network tutorial; “How far is Morocco?” could enable the Expedia app.

Source

Also see how Alexa might be a key piece of smart classrooms in the future:

This Android app lets you search for specific words in [printed] books & documents via augmented reality [Palladino]

On 09/17/2018, in Augmented Reality (AR), education technology, Google, tools, writing, by Daniel Christian

This Android app lets you search for specific words in books & documents via augmented reality — from mobile-ar.reality.news by Tommy Palladino

Excerpt:

One of the neatest tricks available in Google Lens, an app that can identify and interpret real world information, is the ability to copy text from the app’s camera view and paste it into a digital document.

And while the computer vision assistance of Google Lens takes care of the copy and paste function in augmented reality, a new mobile app from Find It Software fulfills the find function directly on printed documents in real time.

From DSC to teachers and professors:
Should these posters be in your classroom? The posters each have a different practice such as:

Spaced practice
Retrieval practice
Elaboration
Interleaving
Concrete examples
Dual coding

That said, I could see how all of that information could/would be overwhelming to some students and/or the more technical terms could bore them or fly over their heads. So perhaps you could boil down the information to feature excerpts from the top sections only that put the concepts into easier to digest words such as:

Practice bringing information to mind
Switch between ideas while you study
Combine words and visuals
Etc.

The Mobile AR Leaders of 2018 — from next.reality.news

Excerpt:

This time last year, we were getting our first taste of what mobile app developers could do in augmented reality with Apple’s ARKit, and most people had never heard of Animojis. Google’s AR platform was still Tango. Snapchat had just introduced its World Lens AR experiences. Most mobile AR experiences existing in the wild were marker-based offerings from the likes of Blippar and Zappar, or generic Pokémon GO knock-offs.

In last year’s NR50, published before the introduction of ARKit, only two of the top 10 professionals worked directly with mobile AR, and Apple CEO Tim Cook was ranked number 26, based primarily on his forward-looking statements about AR.

This year, Cook comes in at number one, with five others categorized under mobile AR in the overall top 10 of the NR30.

What a difference a year makes.

In just 12 months, we’ve seen mobile AR grow at a breakneck pace. Since Apple launched its AR toolkit, users have downloaded more than 13 million ARKit apps from the App Store, not including existing apps updated with ARKit capabilities. Apple has already updated its platform and will introduce even more new features to the public with the release of ARKit 2.0 this fall. Last year’s iPhone X also introduced a depth-sensing camera and AR Animojis that captured the imaginations of its users.

The Weather Channel forecasts more augmented reality for its live broadcasts with Unreal Engine — from next.reality.news by Tommy Palladino

Excerpt:

Augmented reality made its live broadcast debut for The Weather Channel in 2015. The technology helps on-air talent at the network to explain the science behind weather phenomena and tell more immersive stories. Powered by Unreal Engine, The Future Group’s Frontier platform will enable The Weather Channel to be able to show even more realistic AR content, such as accurately rendered storms and detailed cityscapes, all in real time.

From DSC:
Imagine this type of thing in online-based learning, MOOCs, and/or even in blended learning based learning environments (i.e., in situations where learning materials are designed/created by teams of specialists). If that were the case, who needs to be trained to create these pieces? Will students be creating these types of pieces in the future? Hmmm….

Winners announced of the 2018 Journalism 360 Challenge — from vrfocus.com
The question of “How might we experiment with immersive storytelling to advance the field of journalism?” looks to be answered by 11 projects.

Excerpt:

The eleven winners were announced on 9/11/18 of a contest being held by the Google News Initiative, Knight Foundation and Online News Association. The 2018 Journalism 360 Challenge asked people the question “How might we experiment with immersive storytelling to advance the field of journalism?” and it generated over 400 responses.

Addendum:

Educause Explores Future of Extended Reality on Campus — from campustechnology.com by Dian Schaffhauser

Among the findings:

VR makes people feel like they’re really there. The “intellectual and physiological reactions” to constructs and events in VR are the same — “and sometimes identical” — to a person’s reactions in the real world;
3D technologies facilitate active and experiential learning. AR, for example, lets users interact with an object in ways that aren’t possible in the physical world — such as seeing through surfaces or viewing data about underlying objects. And with 3D printing, learners can create “physical objects that might otherwise exist only simulations”; and
Simulations allow for scaling up of “high-touch, high-cost learning experiences.” Students may be able to go through virtual lab activities, for instance, even when a physical lab isn’t available.

Common challenges included implementation learning curves, instructional design, data storage of 3D images and effective cross-departmental collaboration.

“One significant result from this research is that it shows that these extended reality technologies are applicable across a wide spectrum of academic disciplines,” said Malcolm Brown, director of learning initiatives at Educause, in a statement. “In addition to the scientific disciplines, students in the humanities, for example, can re-construct cities and structures that no longer exist. I think this study will go a long way in encouraging faculty, instructional designers and educational technologists across higher education to further experiment with these technologies to vivify learning experiences in nearly all courses of study.”

Aligning the business model of college with student needs: How WGU is disrupting higher education [Dunagan]

On 09/15/2018, in 21st century, 24x7x365 access, adjunct faculty, adult learning, business side of he, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, cost of getting a degree, digital learning, disruption, education, education technology, elearning, faculty/staff, higher education, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, more voice more choice more control, online learning, society, staying relevant, student-related, teaching online, tools, United States, universities, using teams, vision/possibilities, by Daniel Christian

Aligning the business model of college with student needs: How WGU is disrupting higher education — from christenseninstitute.org by Alana Dunagan

Excerpt:

Since its inception, Western Governors University (WGU) has aimed to serve learners otherwise shut out of the traditional system. Now, the groundbreaking institution has both graduated 100,000 students and has over 100,000 students currently enrolled. These milestones demonstrate WGU’s ability to scale its high-quality, low-cost model, signaling a momentous shift in the higher education landscape.

In the mid-1990s, governors of 19 states across the western United States were concerned about bringing accessible college education to rural populations, especially working adults.These governors, led by Utah Governor Mike Leavitt, decided to explore building a new university to address the challenge. As the memorandum of understanding between those governors that officially marked the founding of WGU stated, “The strength and well-being of our states and the nation depend increasingly on a strong higher education system that helps individuals adapt to our rapidly changing economy and society. States must look to telecommunications and information technologies to provide greater access and choice to a population that increasingly must have affordable education and training opportunities and the certification of competency throughout their lives.”

Now in its third decade, WGU has students in every U.S. state and has over 100,000 enrolled students—a 230% increase since 2011.

Excerpts from their paper:

The potential of competency-based education
Competency-based education is an approach to learning that allows students to determine the pace of their learning and move ahead once they demonstrate mastery in a concept. As described by Clayton Christensen and Michelle Weise:

Competency-based programs have no time-based unit. Learning is fixed, and time is variable; pacing is flexible. Students cannot move on until they have demonstrated proficiency and mastery of each competency but are encouraged to try as many times as necessary to demonstrate their proficiency. Although skeptics may question the “rigor” behind an experience that allows students to keep trying until they have mastered a competency, this model is actually far more rigorous than the traditional model, as students are not able to flunk or get away with a merely average understanding of the material; they must demonstrate mastery—and therefore dedicated work toward gaining mastery—in any competency.

Competency-based education first took hold in the K-12 education system, but it is also growing in higher education. As of fall 2015, roughly 600 institutions were using or exploring competency-based programs in higher education.13 However, only a handful of institutions are using competency-based education exclusively and have designed their business models around it.

…

WGU offers programs across four industry areas: education, business, information technology, and healthcare. All of these programs are offered online; unlike most higher education institutions, WGU has no physical campus. Instead, it has invested heavily in a technology platform that allows it to deliver curriculum asynchronously, to wherever students are. In addition to its online platform, another unique aspect of WGU’s resources is its approach to faculty. In traditional institutions, faculty are responsible for academic research, course development, teaching, assessment, and advising students. Alternatively, WGU’s model unbundles the faculty role into component parts, with specialists in each role.

A rubric for evaluating e-learning tools in higher education [Anstey & Watson]

On 09/12/2018, in accessibility / UDL, adjunct faculty, education technology, elearning, faculty/staff, higher education, instructional design, IT in HE, learning, learning ecosystem, mobile learning, mobile technologies, tools, universities, by Daniel Christian

A rubric for evaluating e-learning tools in higher education — from er.educause.edu by Lauren Anstey and Gavan Watson
The Rubric for E-Learning Tool Evaluation offers educators a framework, with criteria and levels of achievement, to assess the suitability of an e-learning tool for their learners’ needs and for their own learning outcomes and classroom context.

Excerpt:

We organized our rubric’s evaluation criteria into eight categories (functionality; accessibility; technical; mobile design; privacy, data protection, and rights; social presence; teaching presence; cognitive presence). Each category has a specific set of characteristics, or criteria, against which e-learning tools are evaluated, and each criterion is assessed against three standards: works well, minor concerns, or serious concerns. Finally, the rubric offers individual descriptions of the qualities an e-learning tool must have to achieve a standard.

Although our rubric integrates a broad range of functional, technical, and pedagogical criteria, it is not intended to be overly prescriptive. Our goal is for the framework to respond to an instructor’s needs and be adapted as appropriate. For example, when a rubric criterion is not relevant to the assessment of a particular tool, it can be excluded without impacting the overall quality of the assessment.

The rubric reflects our belief that instructors should choose e-learning tools in the context of the learning experience. We therefore encourage an explicit alignment between the instructor’s intended outcomes and the tool, based on principles of constructive alignment. Given the diversity of outcomes across learning experiences, e-learning tools should be chosen on a case-by-case basis and should be tailored to each instructor’s intended learning outcomes and planned instructional activities. We designed the rubric with this intention in mind.
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The Rubric for E-Learning Tool Evaluation offers educators a framework, with criteria and levels of achievement, to assess the suitability of an e-learning tool for their learners’ needs and for their own learning outcomes and classroom context. The rubric was designed with utility in mind: it is intended to help decision-makers independently evaluate e-learning tools.

Adobe supercharges Photoshop’s content-aware fill so you have more options, fewer AI fails [Coldewey]

On 09/11/2018, in Adobe, creativity, digital photography, education technology, photography, tools, vendors, by Daniel Christian

Adobe supercharges Photoshop’s content-aware fill so you have more options, fewer AI fails — from techcrunch.com by Devin Coldewey

Excerpt:

The most important difference is certainly the ability to choose which parts of the image the filling agent samples when it’s looking for stuff to put inside your lassoed area.
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No need to be exact — the algorithm is smart enough to work without the handful of pixels that are casualties of overeager mousing. The improved algorithm also lets you tell the algo that it should be liberal with rotation and scaling of the elements it uses, or that it should mirror-image the content it finds to make it fit better.

30 Sites and Apps for Digital Storytelling

On 09/08/2018, in 21st century, A/V -- audio/visual, creativity, digital learning, digital storytelling, flipping -- inverted learning, K-12 related, learning, mobile learning, mobile technologies, story, storytelling, student-related, tools, by Daniel Christian

30 Sites and Apps for Digital Storytelling — from cyber-kap.blogspot.com

Excerpt:

Digital Storytelling is the process of telling a story through the use of digital means. Also, it happens to be one the easiest ways to integrate technology into the classroom. Educators can use digital storytelling w/ almost any subject and can even “flip” their classroom by using mobile apps. Below is my comprehensive list of sites/apps that can be used for digital storytelling…

Why demand originality from students in online discussion forums? — from facultyfocus.com by Ronald Jones

Excerpt:

Tell me in your own words
Why demand originality? In relating to a traditional classroom discussion, do students respond to the professor’s question by opening up the textbook or searching for the answer on the Internet and then reading off the answer? Some might try, but by asking questions the professor is looking to see if the students grasp the discussed concept, not if they know how and where to find the answer.

Online students have the advantage of reflection time, along with having the textbook and Internet search engine open when responding to discussion questions. With a few simple clicks, virtually any question can be answered by searching the Internet. Once again, why demand originality? Classroom learning takes place when students are required to think; that’s a few steps beyond clicking copy and paste. As instructors, we should encourage our students to be resourceful and to learn the skills of locating and incorporating scholarly literature into their work. But we also must instill the learning value of synthesizing sources in such a manner that produces evidence of gained knowledge.

From DSC:
I like the idea of asking students to put it into their own words. Not just to get by the issue of copying/pasting or trying to stem plagiarism, but because it’s more along the line of journaling about our learning. We need to actually engage with some content in order to put that content into our own words. Not outsourcing our learning to others. Journaling can help us clarify what we’re understanding and where we still have questions and/or concerns.

Encouraging participation of all in the course: Moving from intact classes to individuals students — from scholarlyteacher.com by Todd Zakrajsek, University of North Carolina, Chapel Hill

Excerpts:

During every class session, read the room by watching individuals. Are students taking notes, nodding along as others speak, or even advancing the discussion by building on the comments of classmates? Are verbal responses merely defining terminology, or do they make connections between the text and real-world examples? Analyze the extent to which certain examples or content areas are received by individual students. Take note when student responses are merely noise to fill the void when you are not talking. Overall, look for individual characteristics that emerge within your course as a community of learning is being established.
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Keep in mind that it is often less threatening to one’s ego to claim a lack of preparation for class than it is to admit that one is finding it difficult to understand the material. For those who need a bit of motivation to come prepared, a quiz at the beginning of class will help students to come to class ready to discuss the material for that day.

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As all students are pressed for time these days, a quiz might be the added motivation that most students need. These quizzes do not need to be extremely challenging, but they should be challenging enough to ensure the required preparation is done. That is, one should not be able to get responses correct simply by guessing. For students who do not understand the material, quizzes will not prepare them to engage in class discussions or to answer your questions during a discussion lecture. For those students, failed quizzes might add additional pressure and cause less engagement with the material. Struggling students who are not prepared for class need assistance to understand the material. Carefully structured small group projects and discussions might be the best way to get their voices into the class. Ask increasingly difficult questions as part of the discussion, and when you know you have struggling students reserve some of the easier questions for those students.

Gen Zers look to teachers first, YouTube second for instruction — from campustechnology.com by Dian Schaffhauser

Excerpt:

Students in Generation Z would rather learn from YouTube videos than from nearly any other form of instruction. YouTube was designated as the preferred mode of learning by 59 percent of Gen Zers in a survey on the topic, compared to in-person group activities with classmates (mentioned by 57 percent), learning applications or games (47 percent) and printed books (also 47 percent). A majority (55 percent) believe that YouTube has “contributed to their education.” In fact, nearly half of survey participants (47 percent) reported spending three or more hours every day on YouTube.

The only method of instruction that beat out YouTube? Teachers. Almost four in five Gen Zers (78 percent) reported that their instructors “are very important to learning and development.” That’s nearly 20 percentage points higher than the YouTube option.

While Millennials also value teachers above all else for learning (chosen by 80 percent), that’s followed by printed books (60 percent), YouTube (55 percent), group activities (47 percent) and apps or games (41 percent).

Also, see the work from Pooja K. Agarwal | @PoojaAgarwal
Assistant Professor, Cognitive Scientist, & Former K-12 Teacher. Follow @RetrieveLearn and subscribe for teaching strategies at http://retrievalpractice.org.

An example posting:

Retrieve, Space, Elaborate, and Transfer with Connection Notebooks — from retrievalpractice.org

Excerpts:

How can we encourage students to retrieve, elaborate, and connect with course content? Here’s a strategy called Connection Notebooks by James M. Lang, Professor at Assumption College. Connection Notebooks include retrieval practice, spacing, elaboration, and transfer – all in five minutes or less!

Ask students to dedicate a specific notebook as their Connection Notebook at the beginning of the semester (or provide one for them) and have them to bring it to class every day. Approximately once a week, ask students to take out their Connection Notebook and write a one-paragraph response to a “connection prompt” at the end of class. For example:

How does what you learned today connect to something you’ve learned in another class?
Have you ever encountered something you learned today in a TV show, movie, song, or book?
Have you ever experienced something you learned today in your life outside of school?

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Connection Notebooks are effective for a few reasons:

Students build connections over time and across diverse contexts
Students engage in retrieval practice, spacing, elaboration, and transfer
Students focus on learning, not assessment, by keeping it low-stakes

Also, see the work from Learning Scientists | @AceThatTest | learningscientists.org

An example posting:

In this digest, we put together 5 blog posts by teachers that focus on implementing spaced practice in one specific subject at a time. For more of an overview of spaced practice, see this guest post by Jonathan Firth (@JW_Firth).

Learning Ecosystems

This Android app lets you search for specific words in [printed] books & documents via augmented reality [Palladino]

A rubric for evaluating e-learning tools in higher education [Anstey & Watson]

Adobe supercharges Photoshop’s content-aware fill so you have more options, fewer AI fails [Coldewey]

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