Saturday, December 29, 2018
Saturday, December 22, 2018
Weekly Sporto bookmarks (weekly)
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How the Blockchain Brings Social Benefits to Emerging Economies - Knowledge@Wharton
- However, many laws in both developing and developed countries have not kept pace with digital advancements, and they continue to require paper-based documentation, preventing participants from taking full advantage of the technology,
- “The challenge is not the technology; it’s the issues involved relating to implementation, organization and trust.
- The panelists stressed that bitcoin merely happens to be one of blockchain’s earliest and most prominent applications, and that blockchain has a far greater potential lying in wait.
- We are much more excited about the underlying blockchain technology and how it relates to transactions, especially, than we are about cryptocurrencies.
- India is a frontrunner among emerging economies in embracing the blockchain
- managing land ownership records
- allows for the tracking of all state level financial services on one platform and prevents corruption once records are entered.
- The project we are implementing allows you to track land ownership history over time, and do verified land titling registration with background checks on who paid [the property] taxes.
- In supply chains, Mumbai and Visakhapatnam ports are using the blockchain to create tamper-proof methods that track incoming shipments and shippers
- “Don’t start with what you need to tweak for blockchain. Start with what you need to allow entrepreneurs to innovate.”
- Gupta had some advice for aspiring entrepreneurs and users in the blockchain space. “Don’t use blockchain when you don’t need it,”
- Businesses considering using blockchain need to recognize that the technology is still in its early stages.
- There are still very basic questions about the scalability of these networks that are going to take time to unfold,
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Saturday, December 15, 2018
Saturday, December 8, 2018
Weekly Sporto bookmarks (weekly)
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Micromasters and specialization programs draw mature students eager to improve career prospects
- ground discussions of the nondegree landscape in some numbers rather than the speculation and hyperbole that often surrounds it.
- Specialization programs generally cost students between $39 and $79 per month, offering a certificate at the end of completion after a few months, but no academic credit toward a further degree.
- Results on student demographics, motivations and preferences offer a look at the types of students who enroll in nondegree courses and hint at the potential for these offerings to play a vital role in improving Americans’ career prospects
- Close to 80 percent of respondents reported already having an undergraduate degree, and 40 percent also had a master’s degree. Only 16 percent of enrolled students had no prior degree, suggesting that massive open online courses appeal mainly to students with prior academic credentials -- perhaps those looking to acquire new skills or advance their careers in new directions.
- this market mainly appeals to students as a vessel for lifelong learning.
- The report’s findings around motivation lend credence to those theories. From a provided list of possible benefits, surveyed students most frequently indicated they’re looking to improve performance in their current job
- Other oft-cited motivations included needing help to start a new business, seeking new knowledge and wanting to improve applications for new jobs
- The report shows that students enroll in MOOCs hoping that the substance of the courses will make them better at their jobs -- not purely as a résumé item that could lead to a promotion or a new job, “which takes perhaps more investment in something like a degree,” Gallagher said
- Only 30 percent of the micromasters students and 40 percent of the specialization students said they planned to earn the alternative credential at the end of the course or program. One quarter of respondents said they would enroll in all of the courses in the series without earning the credential.
- Nina Huntemann, senior director of academics and research at edX, told “Inside Digital Learning” that the report reinforces the company’s plan to provide “modular, flexible credentials that provide career advancement.
- Gallagher believes future reports could shed more light on the stackability of credentials into degrees -- a phenomenon that only started taking off after the initial round of surveys began.
- These microcredentials that stack into degrees are slowly beginning to remake the online degree market,” he said. “A lot of these motivations -- certainly the [return on investment] and the outcomes that students have -- could potentially shift.
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Gamification Vs. Game-Based Learning
- Gamification is more than a buzzword; it is a trend that is shaping how content providers connect with users and keep them engaged in the long-term. In the world of e-learning, people use game mechanics and game design elements to create a new learning experience adapted to the expectations of today's learners.
- One of the goals can be motivating learners to engage with the content and helping them play a more active role instead of passively consuming the content.
- To gamify the learning program and provide clear objectives for the learners, you can introduce rewards and collectibles to online learning
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- Organize learning content into levels so learners can keep track of their progress and advance to the next level.
- Allow learners to set the difficulty of certain elements, such as quizzes.
- Keep things interesting by unlocking more content as learners progress.
- Game-based learning is often confused with gamification. Game-based learning is about acquiring new knowledge and applying new concepts by playing games.
- Game-based learning can also be applied by designing trivia questions directly related to the job skills.
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'AI for everyone': Coursera tackles training for the nontechnical | Education Dive
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Building the Future of ‘New Collar’ Jobs with Digital Badging | The EvoLLLution
Saturday, December 1, 2018
Weekly Sporto bookmarks (weekly)
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Project Audio: Teaching Students How to Produce Their Own Podcasts
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7 Ways to Structure Your Work Environment for Self-Directed Learning
- Allow Time for Exploration.
- Facilitate Outside Learning.
- that viewing the workplace as a curriculum that workers must master can be a very useful mindset.
- Identify “Trainers” and “Educators” Among Your Regular Staff.
- Create Peer-to-Peer Accountability
- Employ Technology. In the Internet age, technology facilitates learning quickly, efficiently and cheaply. As a solo activity, SDL benefits mightily from technology, because “students” can search for and find information that pertains directly to their problem. Even if your employees don’t work in a traditional office setting, make sure they have access to online resources as well as company training modules. This improves trust, creates empowerment, and keeps valuable employees around and learning over the long haul.
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How technology can transform leadership – for the good of employees | World Economic Forum
- available technology can automate much of what we call management, giving leaders more time to lead.
- organizations markedly more agile.
- liberated from routine work to focus more on strategic transformation.
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Quality Online Education: What's Rigor Got to Do with It? Part 1 & 2 | Quality Matters
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Academic Rigor Defining an Ideal and Leveraging Quality matters Standards to Document Evidence
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Facebook launches a free online education platform — Observatory of Educational Innovation
- Courses are free, their achievement offers digital micro badges, and they require a commitment of eight minutes per module.
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Ignore AI Fear Factor at Your Peril: A Futurist’s Call for 'Digital Ethics'
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11 Content Curation and Collaboration Tools to Save You Time
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Training Content Curation: Everything you need to know – TalentLMS Blog
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How Can You Use Content Curation In Your L&D Strategy? - eLearning Industry
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North American Higher Ed LMS Market Share by Enrollments: A consolidating market -
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Gartner: Immersive Experiences Among Top Tech Trends for 2019 -- Campus Technology
- Current blockchain technologies and concepts are immature, poorly understood and unproven in mission-critical, at-scale business operations,"
- At the same time, Gartner warned that current applications and services pegged as blockchain solutions may lack some of its key elements, such as the use of a distributed database.
- However, these approaches miss the value of true blockchain disruption and may increase vendor lock-in,
- Organizations choosing this option should understand the limitations and be prepared to move to complete blockchain solutions over time and [be aware] that the same outcomes may be achieved with more efficient and tuned use of existing non-blockchain technologies.
- Smart Spaces
- We believe the market is entering a period of accelerated delivery of robust smart spaces with technology becoming an integral part of our daily lives, whether as employees, customers, consumers, community members or citizens.
- That'll happen, he added, as individual components and applications become more integrated on the way to creating a digital twin of the environment.
- Digital Ethics and Privacy
- "Just because we can gather all this information about people, should we?"
- Discussions about privacy, advised Cearley, "must be grounded in the broader topic of digital ethics and the trust of your customers, constituents and employees." Trust, as he explained, is the "acceptance of the truth of a statement without evidence or investigation.
- Expanding an organization's thinking beyond privacy to ethics "moves the conversation beyond 'Are we compliant?' toward 'Are we doing the right thing?'"
- With quantum computing it's like reading all the books at the same time."
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Is this AI? We drew you a flowchart to work it out - MIT Technology Review
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Abierto al público Everything you need to know about Open Badges
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Abierto al público Open Badges: todo sobre las credenciales digitales abiertas
Saturday, November 24, 2018
Saturday, November 17, 2018
Weekly Sporto bookmarks (weekly)
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4 Companies Sit on 95% of LMS Adoptions -- Campus Technology
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5 Mistakes that Professors Make with Technology - The Tech Edvocate
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7 Things You Should Know About Augmented Reality, Virtual Reality, and Mixed Reality
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7 Things You Should Know About Developments in Learning Analytics
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7 Things You Should Know About The 2018 Key Issues in Teaching and Learning
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7 Things You Should Know About Digital Transformation
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7 Things You Should Know About Educational Design Research | EDUCAUSE
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7 Things You Should Know About Universal Design for Learning
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7 Things You Should Know About the Evolution of Teaching and Learning Professions
Saturday, October 27, 2018
Weekly Sporto bookmarks (weekly)
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Open Badges and IP: Credly Patents for Generation, Management, and Tracking of Digital Credentials
- During this shift, Pearson filed two patents called “Generation, management, and tracking of digital credentials”.
- This means that ALL implementers of the IMS Open Badges v2.0 (OBv2) standard are licensed to any necessary claims under the patent that relate directly to the implementation of the standard.” This should stand with Credly as the assignee as well.
- The patents do contain information about ownership of templates, receiver acceptance, sharing, tracking views, and other technical functionality related to similar content management type of web systems. These functionalities are outside of the specific open badges specification although, without some of it, especially the content and data management aspects, it would be challenging to implement an Open Badges System
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Open data movement: how to keep information from being politicized.
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It’s Time to Talk About Data Ethics
- We are in the midst of a “data revolution,” where individuals and organizations can store and analyze massive amounts of information. Leveraging data can allow for surprising discoveries and innovations with the power to fundamentally alter society: from applying machine learning to cancer research to harnessing data to create “smart” cities, data science efforts are increasingly surfacing new insights — and new questions.
- Working with large databases, new analytical tools, and data-enabled methods promises to bring many benefits to society. However, “data-driven technologies also challenge the fundamental assumptions upon which our societies are built,
- “In this time of rapid social and technological change, concepts like ‘privacy,’ ‘fairness,’ and ‘representation’ are reconstituted.” Indeed, bias in algorithms may favor some groups over others, as evidenced by notorious cases such as the finding by MIT Researcher Joy Buolamwini that certain facial recognition software fails to work for those with dark skin tones. Moreover, lack of transparency and data misuse at ever-larger scales has prompted calls for greater scrutiny on behalf of more than 50 million Facebook users.
- individual and collective responsibility to handle data ethically. These conversations, and the principles and outcomes that emerge as a result, will benefit from being intentionally inclusive.
- More than 100 volunteers from universities, nonprofits, local and federal government agencies, and tech companies participated, drafting a set of guiding principles that could be adopted as a code of ethics. Notably, this is an ongoing and iterative process that must be community-driven, respecting and recognizing the value of diverse thoughts and experiences.
- The goal of this research project is to understand how legal and ethical norms can be embedded into technology, and to create tools that enable responsible collection, sharing, and analysis of data. These issues have also been a topic of discussion at multiple recent workshops.
- Earlier this month, a workshop at the National Academy of Sciences focused on ethics and data in the context of international research collaborations. Similarly, another recent workshop on fairness in machine learning aimed to identify key challenges and open questions that limit fairness, both in theory and in practice.
- there are powerful incentives for the commercial sector to disregard these initiatives in favor of business as usual. It is not clear how compliance and accountability could be incentivized, monitored, or enforced in both the public and private sectors, although new European Union regulations pertaining to data privacy will affect organizations globally beginning in May 2018. Both “top-down” regulations, as well as “grassroots” efforts, are increasingly raising questions about how we might define fairness, combat bias, and create ethics guidelines in data science and AI.
- widespread adoption of ethical data collection and data analysis practices requires more than business penalties and awareness of these issues on the part of data science practitioners and the general public.
- Boenig-Liptsin notes, “We need to understand how our values shape our data tools and, reciprocally, how our data tools inform our values.”
- We are seeing an increasing number of data practitioners and leaders stand up and speak about the questionable and often outright illegal collection, sharing, and use of sensitive data. For their voices to drive change, and for our society to truly harness the positive impacts of data innovation, while mitigating unintended consequences, we will need a collective effort. This effort needs to reach beyond academia and policymakers, to anyone who can contribute — from the public and private sectors.
- voice expectations for responsible data use, bringing data practitioners together to examine existing research and evidence.
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- In addition to working with regulatory bodies, the shaping of social norms can transform these principles into enforceable standards for the responsible use of data.
- Fully harnessing the data revolution requires that we not only explore what can be done with data, but also that we understand the broader impacts of how any individual or organization’s contribution affects others.
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https://www.researchgate.net/publication/310393920_What_is_data_ethics
Saturday, October 20, 2018
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