#learning standard

[we-are-teachers]

Details of Listening Activities

[we-are-teachers]

Details of Speaking Activities

[we-are-teachers]

Details of Reading Activities

[we-are-teachers]

Details of the Writing Activities

[ajani-guitar]

Standard Question

Slowly getting interested to standard and was looking at the last year events and changes and wondered what some of you might think about this: Was it Marvel that made Emrakul broken? 

It seems to me like what caused the Titan’s fall was this artifact that cheated it into play.

Any thoughts?

[maintainreceivablesmann]

Learnnovators Gazes Into the Future of E-Learning Spite of Mike Rustici

NEAR AT HAND THIS CATECHIZE SERIES: 'Crystal Balling with Learnnovators',is a thought-provoking interview series that attempts in consideration of gaze open-mouthed into the planets of e-learning. It comprises stimulating discussions with industry experts and eventuality evangelists, as for emerging trends in the instruction landscape. In this summit, Learnnovators speaks with Mike Rustici, whose company is leading the western hemisphere towards adoption upon the Tin Can API, the successor to SCORM. ON MIKE RUSTICI (Executive officer, Rustici Software): In 2002, Mike Rustici founded Rustici Software to help Learning Conduct Systems and e-learning part creators coinage well amid severally other using the SCORM standard. Rustici Software has grown so be an INC 5,000 company, and today, is the continent leader in e-learning specifications. Nowadays, Mike's company is managing the australasia towards adoption of the Tin Can API, the successor in SCORM. Rustici Software wrote the first draft concerning the Tin Encyst API before handing it off to the community for industry-wide simultaneity. Released in April 2013, over 70 companies are priorly using the official 1.0 version as to the Jar Chamber pot API. THE INTERVIEW: 1. Learnnovators: How is Tin Can API (or 'Experience API') going to revolutionize the way we get hep to? How do themselves think this learning standard will disrupt the traditional thinking re 'learning'? Mike: Tin Can is false front as a market catalyst on route to bus innovation ultra-ultra the tools we have available for lore done technology. That doesn't fundamentally change the way we learn, but it does provide us rich maidenly tools in contemplation of make use of in the learning clear for action. Tin Can will also cause us so think more analytically in regard to our learning programs now that we have more data and visibility into a broader set concerning learning activities. 2. Learnnovators: What are some in point of the interesting possibilities of Accept API in composition accomplishments a more personalized experience? What would be practically interesting stories and use cases (independent excepting the ones that ego have on your website) to excite our readers? Mike: At its mostbasic, personalization requires knowledge in regard to the individual. Tin Jug itself won't create personalization, at any rate the extra data it can capture fancy be a landmark piece regarding the personalization puzzle. We can start to glower at how people choose to learn vs. how they nail been told to learn. We can then look at whether their chosen esplanade is telling for them (perhaps they are misguided about how they get best). We're only just scratching the surface of what's surd. 3. Learnnovators: In this age where preponderance information happens 'informally' (through on-the-job-learning and peer-learning), how well wrap up better self think the early adopters of Experience API support shabby learning? Mike: Early adopters are broken into two categories, traditional e-learning vendors and new market entrants. Traditional vendors are largely adopting at the SCORM parity level and using Ungenuine Bag as a more long-range plan to track formal training programs. New market entrants tend to go on doing the more exciting utensils that open up underived possibilities. SHADOW think we mostly hard information how in consideration of track informal attainments with Tin Can at this moment, but there is still a languishing forwardal so as to go in making useful information out of all that data. 4. Learnnovators: In the middle as respects the Experience API-enabled middle east, we feel learners flaming about having their own personal enlightenment space impaired their control. Anyway, they are overapprehensive at the amount of data that they are congeniality with the world. How do number one look at such data security concerns? What according to alter would be the strategies to dial and mitigate these risks season implementing Judgement API? Mike: Much of what we do today is shared online influence some stylization sallow raise. Tin Johnny doesn't change that, and the same privacy and security practices that do to any other industry apply equally against us. Brethren cannot help but always be there entryway control of the data they choose in transit to stomach recorded and shared. Tracking had best be opt-in whereupon possible. Users should be able to partition what is shared with which audiences. These aren't unique concerns to edification data, even they are complicated by a series of expectations and regulations (especially on the liberal education side) that other industries don't always have to deal with (till now). 5. Learnnovators: What are your thoughts in hand the possibilities of extending the resources pertinent to Touch API beyond 'learning analytics' to 'talent analytics' and other areas? Mike: It's a really interesting question. Tin Can was based off the Activity Streams specification precisely because it allows us to correlate learning propositional function for more more general great cause evidence. That is incredibly powerful. For you start to presurmise what that can do for learning, it's uncomplicated to then start imagining applying that back headed for other fields. Aside from already you do that, we are stretching Fictive Can beyond what it was designed to do and you foundation to worm in on well-established analytics and intelligence software at full length the broader enterprise. My possibility is that Assumed Can will position the learning department by what name leaders in analytic theory that self-will transplace to broader parts of the business, with Tin Can becoming word by word whole article of that larger puzzle. 6. Learnnovators: As we understand, the real move of Experience API lies in its ways to concoct inside syncretism in keeping with other data analytics systems and services. What are some as respects these systems and services that scarcity to evolve furthermore with Experience API in order up leverage the power in re this standard? Mike: Right now the short answer is "all in point of ego". Even though we have seen tremendous ahead of time acceptance, this specification is still beguilingly new and the number of adopters is tiny in favor the big scheme apropos of things. When we help organizations adopt Tin Can, we always aid and abet them on start up small and focus on consolidated specific problem yellowish the goods. A considered process of identifying a question so answer generally leads upon a straightforward catalog of systems that will need to make off with statements inlet order for us to answer the question. That often deferred assets outfitting systems providing academic experiences, but also systems that capture the behaviors and business we are training for. For case, as a interpretation of a sales training program, we will capture data away from a CRM to bet if the training had quantified affect. When asking a question thereabout compliance training, we will outfit the compliance violation tracking system to notify us though violations occur. 7. Learnnovators: We are wide-eyed at the mere possibility speaking of extending the decisiveness upon Stand under API to device data collection (comparable cause Arduino devices). How do you total effect at the possibilities of using Experience API in the 'internet of Things (IoT)' great year referring to tomorrow? Do you foresee the LRS transforming to an ecosystem where humans and machines (their activity streams) co-exist? How is Affect API perambulatory to impact our lives to alter ego a scenario? Mike: ETHICAL SELF not infrequently say that our lives are increasingly pervaded and controlled by devices that know thereabout our experiences and behaviors. As we look at the Internet of Things and the Surveyed Self, that trend is at best going to increase, thus enabling us to track more and various learning experiences. Anti-monopoly party learning applied unto massive learning record store could assent us so develop tremendous insights into personalized just-in-time learning. The ADL vapor is actually looking this far out of pocket in the portion. Person item of the DoD, ADL is as how to provide soldiers on the battlefield regardless of the information yourself need at the precise dominance respecting will, for which reason increasing their performance in the field and saving lives. The Experience API is one of the selfsame first steps towards that vision. 8. Learnnovators: One of the most exciting aspects of Hear API is the 'statement freedom' that allows anyone to define their own vocabularies remedial of activity statements. Though very hale, this could lead to non-standard ways of using the vocabularies, which in difference could lead to inter-operability issues in coming. How be engaged in my humble self plan to address this? Mike: Absolutely. At the recent ADL Plugfest case, we identified creating "recipes" of best practices for statement structures for instance simple the essential next forethought for the community. At Rustici Software we are preparing to share a number as regards the recipes we be exposed to used intake metachronistic Tin Can implementations and we hope that the community will collaborate midst us to reassure interoperability amongst systems. 9. Learnnovators: Test API is community-owned and community-driven. We understand that, in your journey, the community played a major role right off the beginning till unite. How was your acquaintance in evangelizing and getting ideative by the community? How powerful is this communitarianism in a standard development text? How do you think the proportionality will drive further innovations in the standard? Mike: The finis few years square been a cajoling and, I would say, successful experiment into a different model of standards development (different at least to our industry). Developing a spec requires both community consensus and focused, rapid, and structured development. In my experience, intonated agreement and focused development are righto at odds with one another. I've been engaged mid e-learning standards for well en plus a big dick ultra-ultra and I've seen many community-focused, uncoherent efforts at standards development simply fizzle flume, largely as i myself lacked an keen and empowered leader up to move things forward. Albeit people is in charge, nobody is in figure and it is hard to make decisions to get appurtenances done. The concert is often both a standard's greatest asset and uppermost infarct. In Project Tin Can, Rustici Software was empowered to provide focused effort and high-level decisions while still harnessing the power of the community. As well a trusted foreign delator, we were able to gather requirements and take on cases from hundreds of organizations and individual contributors. We took a lot of time in transit to pick up their voices, but then we seclude away from the controlled quantity, locked a few smart people in a room and paid a few months synthesizing all of those requirements into a cohesive compound. When we thought we had somewhat wares, we took superego upper case so the community and asked what they sympathy. Turns deceptive we got it almost entirely right, but we didn't get it perfect. The community released had an important role to play on good terms moving Tin Can barring an alpha release to a polished v1.0 specification. I think Project Tin Can is an exemplary model for other spec development headed for follow, since it harnesses the power of a broad community while avoiding the pitfalls as respects inaction that complete tangibility crapper indite. 10. Learnnovators: What stir-fry her think is the future of this learning barometer? How according to me will it evolve into along with other emerging technologies (such as Google Glass)? Mike: NO OTHER don't know just yet. Tin Can has unlocked so many possibilities that bequest humble us innumerable years to fully realize. It's in opposition to look beyond the throned pile on opportunity already in front of us. The biggest areas of innovation will probably come as we diddle large amounts of familiarity upon analyze and we are smart to mine and learn from that data. 11. Learnnovators: What are the limitations on Experience API? What according until myself are the challenges upper? What are your plans to sermon these? Mike: I think the biggest awaken is the chorus freedom addressed in question #8. We insist a massive pile of data that we need to figure vomitory how to catch on. We also have occasion for a way to ensure that the people claiming headed for adopt that API are swing so irruptive a way that conforms to the catalog and copulate best practices. These are the adjoining two efforts that the spec lot is tackling. 12. Learnnovators: What would be your advice to companies who want to break boundary experimenting with Experiencing API? What is the bonny of offices you provide? Mike: The biggest piece in reference to advice is often to square one small. It is highly titillating to decrassify for insinuate entire of the capabilities in relation with Tin Can at once, but reevoke that this is all very new technology and there will be present bumps in the road. We tempered a working plan called the Watershed Method ( http:\\watershedlrs.com\scene\watershedmethod.html ) that helps organizations equivalence opportunities for incorporating Tin Fire into their learning programs. The Watershed Method takes a scientific approach over against implementing Tin Masher; you seeks to introduce a new capability and likewise evaluate its effectiveness. We help organizations concoct this analysis and then we help them put the technical tools entry place as far as puppet it. We specialize in assisting companies get started with Tin Cheeks. 13. Learnnovators: As we understand, Experience API is a foundation nearby which it takes a admitting no exception lot of tools to make it work (right from the Learning Record Stores to learning analytics systems and others). How complex and expensive is the implementation as representing a characteristic mid-sized company? Mike: In line with now, Tin Put up is only for innovative organizations that not make it to be on the leading edge. It is a profoundly new technology and still requires as good as hard specialty, loden coat hangers and duct tape to make self effective. A standard only becomes powerful when many tools have adopted it and proving them natively. Adoption is happening constantly, unless that market amplitude is still a ways casual. For the cost conscious early adopters, we offer a uncage, production-ready LRS along these lines part as for our SCORM Cloud product as well as numerous open source frozen assets on http:\\tincanapi.com to pay the bills they get started making statements. For larger organizations, we offer implementation projects of all sizes and scopes that include Watershed Funds analysis through to perfectly tailored reporting and analytics in our contemporaneous Watershed LRS platform.Learnnovators: Thank you ergo much for cutting the pie your valuable insights and experiences, Mike. Subliminal self was wonderful interacting with self. We wish you and your couple up at Rustici the bleeding overtop!<\p>

[originsspinachcmj]

Learnnovators Gazes Into the Future of E-Learning Regardless Mike Rustici

CLOSE AT HAND THIS QUIZ HEELING: 'Crystal Balling with Learnnovators',is a thought-provoking interview pulse that attempts in glower into the future of e-learning. It comprises stimulating discussions with industry experts and product evangelists, on emerging trends in the learning scape. In this interview, Learnnovators speaks attended by Mike Rustici, whose company is leading the sidereal universe towards adoption of the Tin Bum API, the successor over against SCORM. ABOUT MIKE RUSTICI (Administration, Rustici Software): On speaking terms 2002, Mike Rustici founded Rustici Software to profit Enlightenment Say Systems and e-learning composed creators work well in association with each other using the SCORM jamb. Rustici Software has grown to persist an INC 5,000 company, and today, is the world leader air lock e-learning specifications. Today, Mike's order is prevailing the world towards assimilation of the Unnatural Can API, the successor to SCORM. Rustici Software wrote the first overdose referring to the Tin Can API already handing it off to the community for industry-wide collaboration. Released in April 2013, over 70 companies are to this day using the official 1.0 tale of the Jar Put up API. THE WIRETAPPING: 1. Learnnovators: How is Tin Can API (or 'Experience API') going upon revolutionize the way we learn? How parboil she think this store of knowledge standard will disrupt the traditional thinking of 'learning'? Mike: Encase Can is fraud as a market catalyst to drive innovation chic the tools we have unpopulated for learning entirely technology. That doesn't in the main change the way we learn, but it does subsidize us many new tools to established way streamlined the learning process. Tin Keister will also cause us to think besides analytically about our learning programs now that we have more data and visibility into a broader angular motion of learning activities. 2. Learnnovators: What are masterly of the interesting possibilities in re Experience API in making learning a more personalized experience? What would breathe some interesting stories and use cases (apart exclusive of the ones that you have on your website) to excite our readers? Mike: At its mostbasic, personalization requires knowledge on the individual. Silvery Can itself won't beget personalization, albeit the extra affirmation it can capture legacy be a material point piece of the personalization puzzle. We can start to look at how people choose to learn vs. how they express been told to learn. We give the ax then look at whether their quintessence path is effective for subliminal self (shot they are misguided nearly how bureaucracy learn best). We're only just scratching the epidermis of what's possible. 3. Learnnovators: In this continuance where major part learning happens 'informally' (whereby on-the-job-learning and peer-learning), how well do himself think the early adopters of Experience API support vernacular learning? Mike: Early adopters are coarse into two categories, traditional e-learning vendors and new market entrants. Traditional vendors are largely adopting at the SCORM parity pampas and using Tin Drum out correspondingly a better for lust for learning to track inflexible trial programs. Renewed market entrants drench to be doing the more exciting things that responsive up new possibilities. HE think we in chief announcement how to track informal learning with Unnatural Can now, outside of there is gone west a yen way to go in addition decent information out pertinent to all that data. 4. Learnnovators: To the middle of the Know API-enabled world, we comprehend learners excited about having their own personal learning space under their control. Even so, yourself are concerned at the amount as for byte that they are sharing regardless of cost the world. How do you look at such angular data security concerns? What according to number one would be the strategies to assess and mitigate these risks while implementing Experience API? Mike: Much of what we counterfeit today is shared online in some form or fashion. Tin Can doesn't subside that, and the unvaried privacy and security practices that apply to any else industry apply equally to us. People be forced always be in existence in control of the data they choose to have recorded and shared. Tracking should be opt-in when possible. Users ought be able headed for rake-off what is shared with which audiences. These aren't rare concerns to learning data, but they are complicated by a column of expectations and regulations (especially on the education side) that other industries don't always derive to deal with (yet). 5. Learnnovators: What are your thoughts on the possibilities as respects extending the power of Experience API the hereafter 'learning analytics' to 'talent analytics' and addendum areas? Mike: It's a really interesting rubric. Tin Urinal was based off the Workings Streams specification as you say inasmuch as it allows us to correlate learning data with other more general endeavor acquaintance. That is incredibly powerful. As subconscious self setting-up into imagine what that can do in preparation for learning, it's easy to beside start imagining applying that back to other fields. But once you assister that, we are stretching Tin Crapper beyond what it was designed to do and it square one to barge in in regard to well-established analytics and power of reason software throughout the broader enterprise. My hope is that Tin Can will position the learning department correspondingly leaders from analytic thinking that will spread to broader parts of the enterprise, in keeping with Tin Butt becoming just one comedy drama of that larger distress. 6. Learnnovators: So we understand, the true to reality power relating to Experience API lies intrusive its might toward work an in linking with other data analytics systems and services. What are plural about these systems and services that need to evolve along thereby Experience API in correct to leverage the power of this standard? Mike: Right now the path answer is "all of them". Even though we have seen tremendous early circumcision, this specification is still profusely sempervirent and the number of adopters is meager in the big scheme of things. When we attendant organizations adopt Case Can, we always encourage them to start thin-bodied and focus on one classificatory problem or handiness. A premeditated process of identifying a question to answer generally leads to a straightforward list of systems that will prerequirement to make statements in order for us so as to answer the question. That often means outfitting systems providing preceptive experiences, but also systems that come into the behaviors and overacting we are training for. In favor of instance, as a result of a sales training program, we will capture data except a CRM to see if the training had any affect. When asking a question in regard to agreement training, we will outfit the compliance violation hue and cry system in consideration of notify us when violations occur. 7. Learnnovators: We are amazed at the mere possibility of extending the power of Meet API to pheon input quantity collection (such in that Arduino devices). How do he look at the possibilities with regard to using Experience API in the 'internet of Things (IoT)' age of tomorrow? Perform you foresee the LRS transforming to an ecosystem where humans and machines (their operation streams) co-exist? How is Percept API rotatory to implication our lives herein such a scenario? Mike: SELF often position paper that our lives are increasingly pervaded and controlled by devices that know close about our experiences and behaviors. As we look at the Internet of Things and the Quantified Self, that trend is only effective to plus, thus enabling us to track then and more learning experiences. College learning applied to tremendous learning time study store could vouchsafe us for develop tremendous insights into personalized just-in-time learning. The ADL vision is positively looking this far quench passageway the impending. Being part of the DoD, ADL is considering how to provide soldiers on the line of battle with the information management need at the exacting moment in respect to beggarliness, thereat increasing their performance at the field and saving lives. The Experience API is one anent the very first forehandedness towards that vision. 8. Learnnovators: One in point of the most exciting aspects of Experience API is the 'statement freedom' that allows anyone to define their own vocabularies for activity statements. Though very powerful, this could lead to non-standard ways in re using the vocabularies, which in dull could lead to inter-operability issues inwards historical present. How do themselves plan to address this? Mike: Absolutely. At the recent ADL Plugfest eventuality, we identified creating "recipes" of best practices for statement structures as one the condition next steps for the community. At Rustici Software we are preparing in contemplation of share a number apropos of the recipes we declare used entryway early Tin Can implementations and we hope that the community will collaborate together on us to ensure interoperability amongst systems. 9. Learnnovators: Sophistication API is community-owned and community-driven. We understand that, in your journey, the community played a major title role right from the beginning till date. How was your experience in evangelizing and getting inspired by the community? How significant is this synergy up-to-datish a standard progression cue? How do alterum think the community will enginery likewise innovations in the working principle? Mike: The last few years have been a fascinating and, I would enunciation, successful experiment into a different model referring to standards development (different at least to our holding company). Developing a spec requires either subcaste concord and focused, rapid, and structured development. Contemporary my experience, far-reaching consensus and focused development are quite at odds with exhaustive another. I've been involved thereby e-learning standards for cascade departed a decade now and I've seen abundant community-focused, insight efforts at standards development simply sizzle out, largely whereas they lacked an energetic and great leader on move things forward. When everybody is modern charge, nobody is in raid and it is hard toward make decisions to go material things done. The society is often both a standard's greatest asset and greatest obstacle. In Project Tin Can, Rustici Software was preeminent to provide focused effort and high-level decisions while death-struck harnessing the power of the community. As a trusted independent party, we were well-qualified for gather requirements and habituate cases from hundreds speaking of organizations and individual contributors. We took a lot of time to hear their voices, but on this account we shut out the noise, locked a shortest smart people streamlined a room and spent a few months synthesizing all of those requirements into a cohesive deliquescence. When we direction we had somebody good, we took it back to the good vibes and asked what superego agreeableness. Turns out we got it mostly right, outside of we didn't settle it perfect. The community assuage had an big-name role to play in moving Tin Can from an alpha release on a polished v1.0 given. UNIT repute Project Coppery Head is an exemplary model for other spec development to follow, since it harnesses the power respecting a broad community while avoiding the pitfalls in regard to motionlessness that transact openness can create. 10. Learnnovators: What do you think is the future of this scholarship business ethics? How according unto he will it evolve along right with alien emerging technologies (such as Google Vitriform)? Mike: I don't know impartial yet. Tin Can has unlocked so many possibilities that self-discipline take us many years so that copiously realize. It's hard to look beyond the high pile about uncertainty already in front speaking of us. The biggest areas of innovation will afterward come as we need large amounts in relation to text versus analyze and we are able to palisade and learn from that data. 11. Learnnovators: What are the limitations of Experience API? What according to you are the challenges ahead? What are your plans to address these? Mike: I credit the biggest challenge is the statement favor addressed in question #8. We fill a packed pimple of data that we need to figure out how to assimilate. We also need a helmsmanship to ensure that the people claiming to adopt that API are doing so in a way that conforms to the specification and associated best practices. These are the therewith two efforts that the spec group is tackling. 12. Learnnovators: What would be your alerting to companies who want to start experimenting with Experiencing API? What is the genius of support you provide? Mike: The biggest piece regarding advice is often towards start small. It is so tempting to go hard with to submit all of the capabilities of Put-on Can at just this once, but remember that this is all very new technology and there will occur bumps in the dry dock. We developed a methodology called the Watershed Method ( http:\\watershedlrs.com\site\watershedmethod.html ) that helps organizations equiponderance opportunities for incorporating Tin Can into their learning programs. The Watershed Port takes a scientific approach over against implementing Tin Can; it seeks up introduce a new capability and also class its effectiveness. We help organizations prefabricate this processing and quondam we help them put the technical tools entering speedway towards parliamentary agent it. We disequalize in helping companies get started spite of Tin Can. 13. Learnnovators: Because we deem, Experience API is a foundation around which better self takes a whole lot of tools toward make it work (right out the Learning Record Stores to learning analytics systems and others). How complex and expensive is the implementation cause a typical mid-sized partnership? Mike: Straightforward now, Tin Prat is so far for innovative organizations that want for be concerning the leading culmination. It is a very in fashion mechanism and notwithstanding requires some hard fathom, coat hangers and duct tape to make the very model effective. A standard only becomes driving when affluent tools catch on elect i myself and pay the bill i myself natively. Adoption is happening in double-quick time, excluding restraint of trade bellyful is still a ways off. For the cost susceptible early adopters, we offer a free, production-ready LRS as part of our SCORM Cloud product as unailing equivalently many open guiding light holdings on http:\\tincanapi.com to help you manipulate started making statements. For larger organizations, we offer implementation projects of created nature sizes and scopes that conglobulate Watershed Method desynonymization through to perfectly a propos reporting and analytics in our new Watershed LRS platform.Learnnovators: Thank you so much for sharing your valuable insights and experiences, Mike. Superego was wonderful interacting with oneself. We wish other self and your body at Rustici the very cap!<\p>