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CSS Zen Garden: The Beauty of CSS Design
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The use of MOOC as a means of creating a collaborative learning environment in a blended CLIL course
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(16) Collaborative Learning in a MOOC Environment | Request PDF
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Machine Learning Applications in E-Learning: Bias, Risks and Mitigation
- Personalized and adaptive learning has the ability to change learning content or the mode of delivery on the fly and to provide real-time feedback to learners
- Personalized learning paths:
- Personalized learning paths are either pregenerated based on job roles, org charts, competencies required, etc., or can be changed dynamically based on learners’ progress, interest or some other criteria.
- Chatbots:
- intelligent tutoring system, that present a learning concept with a series of conversations
- pinpoint a certain learning pattern, such as significant spikes in course failings, so instructors can intervene before it is too late.
- Performance indicator
- Prediction could be too prescriptive
- Preferences are largely context dependent
- There is usually not enough data to make useful recommendations.
- Machine learning and big data analysis cannot sufficiently replace instructor observations and feedback from learners, peers and managers
- Adaptive learning is costly and time consuming to build
- granularity is an issue
- Will you adapt at the curriculum level, course level or module level? Per activity or scenario? A content system requires constant updating and monitoring, especially with multiple pathways.
- A focus on good instructional design and interaction principles is sufficient.
- Algorithm black box
- researchers in AI and machine learning say that algorithms used by organizations can be opaque and discriminatory.
- One notion to counter algorithm black box is advocating the use of explainable AI. Essentially, XAI programs enable users to understand and provide input on the decision-making process to improve algorithmic accountability.
- Trust
- ownership and governance of data is often ill-defined or not defined at all
- huge amount of personal data.
- What happens when the prediction goes wrong? Should you make recommendations to learners who don’t want them? Who owns those data?
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Turning ‘Google Maps for Education’ From Metaphor to Reality | EdSurge News
Saturday, September 29, 2018
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Saturday, September 22, 2018
Weekly Sporto bookmarks (weekly)
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"Thus, the data indicates a possible connection between exceptional instructor performance and classes that have been QM Recognized within three years. Also noteworthy, two of the instructors who scored exceptional taught Course C, indicating a possible connection between that particular course and high observation scores."
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- they do address a previously unmet need for continuous education among graduates
- MOOCs can be a good replacement for the kind of teaching that is typically done in a large lecture hall.
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MIT Machine Learning Model Learns from Audio Descriptions -- Campus Technology
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Educause Explores Future of Extended Reality on Campus -- Campus Technology
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Bringing Primary Source Materials to Life with AR -- Campus Technology
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Berkeley College Faculty Test VR for Learning -- Campus Technology
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Providing some clarity on Open Badges 2.0 | Open Educational Thinkering
- reminding ourselves of the difference between a ‘badge class’ (i.e. metadata contained in every badge of that type) and an ‘assertion’ (i.e. metadata contained in a badge that’s unique to the individual).
- Version 2.0 of the Open Badges specification makes new features available both in the badge class and assertion, as well as other, ‘miscellaneous’ features.
- Endorsements — a type of badge that is issued to a whole range of people can now be endorsed by a third party
- Embed criteria — criteria about what an individual had to do to earn a badge can now be embedded directly into the badge class
- Endorsements — a badge that is issued to an individual, or subset of the whole group of people who have earned that type of badge, can now be endorsed by a third party.
- Embed evidence — the evidence proving an individual has met the criteria to be issued a badge can now be embedded in assertions
- Internationalisation — badges can now be issued in multiple language, and users can see that this is the case
- Version control — the specification now allows updates to be made to badges and, like a wiki, the differences between versions can be viewed
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Concentric Sky | Developer’s Guide to Issuing Open Badges 2.0
- New in 2.0 is the inclusion of verification instructions for Assertions awarded by this profile, which allows issuers to be explicit about how they award badges.
- but in 2.0, issuers may use an ephemeral
idand are no longer required to have an HTTP identifier and associated hosted record but can use other identifiers. - more robustly machine readable
- opening up the possibility for badges to be awarded to other issuers, to organizations identified by
url, to individuals identified by a social media profile url ortelephonenumber as well as the most common method,email. - New metadata is also available for Assertions in the form of the option to include Evidence records and
narratives that describe the process of meeting criteria, potentially connecting multiple evidence records and alignments.
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Digital Credentials Institute (DCI) | Madison Area Technical College
- The purpose of DCI will be to provide free and subscription-based research on micro credentials and digital badge programs worldwide. We anticipate that The Digital Credentials Institute, along with IMS Global, will become the authoritative voice in understanding adoption, trends and topics impacting digital credentials, workforce training and development.
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What Are Open Badges? - Badge Wiki
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- Open Badges are not controlled by any one organisation. The technology that underpins the whole system (the Open Badges Infrastructure, or OBI) is a free, open-source and run for the world wide commun
As indicated in the quote taken from the Badge Alliance website above, Open Badges take digital badges one step further. They are more suitable to be used as credentials as they have information about the learning experience baked in. Open Badges can be validated by anyone wanting to check up on an individual’s claim to knowledge or skills.
Unlike digital badges, users can take their Open Badges can display them anywhere across the web. Open Badges are portable credentials. This works in a similar way to videos from YouTube being embedded on blogs, wikis, and other websites. Collections of badges — which may feature some from two or more different organisations — can be displayed in a way that makes sense to the user.
There are several important differences between digital badges and Open Badges:
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Saturday, September 15, 2018
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Why L&D Professionals Must Engage in Their Own Learning and Development - Skillsoft
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Eight skills for L&D professionals to future proof your career
- From the rise of AI, the gig economy, and continued digital disruption, today's rapid transformation brings to mind the words of Jack Welch, who warned: “If the rate of change on the outside exceeds the rate of change on the inside, the end is near.
- These 4 areas represent complex skills at the pointy end of Bloom's taxonomy and they all require considerable support and development to achieve...
- At a time when Learning Professionals should be taking our 'seat at the table' to help support transformation, most Learning and Development functions are struggling to justify their existence
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Thinking about the Future of Work to Make Better Decisions about Learning Today | EDUCAUSE
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Microcredentials and Educational Technology: A Proposed Ethical Taxonomy | EDUCAUSE
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Shaping the Educational Technology Innovation Ecosystem | EDUCAUSE
Saturday, September 1, 2018
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AI can now tell your boss what skills you lack—and how you can get them - MIT Technology Review
- The feature, which the Bay Area startup announced today, lets companies that subscribe to its training programs see which of their employees are earning top scores in Coursera classes; how their employees’ skills measure up to their competitors’; and what courses would help fill any knowledge gaps.
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Instructional-Design-in-Higher-Education-Defining-an-Evolving-Field.pdf
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