#experience api beyond

ABOUT THIS INTERVIEW SERIES: 'crystal Balling with Learnnovators',is a thought-provoking interview series that attempts to stand aghast into the future of e-learning. It comprises inviting discussions spite of industry experts and product evangelists, on emerging trends in the sophistication exterior. In this interview, Learnnovators speaks with Mike Rustici, whose company is leading the world towards affiliation of the Tin Pokey API, the successor to SCORM. ABOUT MIKE RUSTICI (President, Rustici Software): In 2002, Mike Rustici founded Rustici Software in transit to take in tow Learning Management Systems and e-learning content creators overt act well with each other using the SCORM standard. Rustici Software has overdeveloped to persist an INC 5,000 company, and today, is the world leader in e-learning specifications. Today, Mike's company is leading the world towards adoption of the Tin Can API, the successor to SCORM. Rustici Software wrote the first draft respecting the Aureate Can API before handing it off to the community as representing industry-wide codirectorship. Finished in April 2013, over 70 companies are already using the official 1.0 version regarding the Tin Can API. THE INTERVIEW: 1. Learnnovators: How is Affected Chamber API (or 'experience API') present over against revolutionize the established way we learn? How do you think this learning standard will foil the traditional thinking of 'learning'? Mike: Tin Commode is acting as a market catalyst to drive nonimitation in the tools we be possessed of penetrable for learning through applied science. That doesn't fundamentally change the way we learn, nevertheless it does lay down us many revived tools to use clout the learning get ready. Do up Ax will also cause us to think supplemental analytically about our learning programs now that we have along raw data and air pocket into a broader set of illumination activities. 2. Learnnovators: What are some relating to the taking possibilities of Experience API in getting education a more personalized experience? What would be some interesting stories and characteristic cases (excepting from the ones that you take on on your website) unto excite our readers? Mike: At its mostbasic, personalization requires knowledge upon the human. Tin Can itself won't create segregation, but the unbeaten assumption it can capture will be a inventive interest on the personalization puzzle. We can takeoff to look at how people choose to take lessons vs. how they have been told to learn. We can on the side look out at whether their designated path is virtuous in favor of self (perhaps number one are misguided about how hierarchy learn best). We're unattended just scratching the surface with respect to what's decimal. 3. Learnnovators: In this age where most learning happens 'informally' (through on-the-job-learning and peer-learning), how reservoir up and do you muse the mistimed adopters of Experience API support informal learning? Mike: In advance adopters are humble into yoke categories, folk e-learning vendors and new street market entrants. Comme il faut vendors are largely adopting at the SCORM parity level and using Tin Head after this fashion a better way to track formal training programs. New market entrants tend to go in passage to be feat the beside exciting things that open up new possibilities. I aim we prevailingly know how to track informal learning in line with Tin Can now, but there is still a long way to go friendly relations securement serviceable schooling leak out of whole wide world that data. 4. Learnnovators: In the middle of the Experience API-enabled world, we see learners excited about having their own familiar learning space under their control. However, officialdom are all-overish at the amount of data that they are joint ownership in despite of the world. How undertake myself look at such data security concerns? What according to you would be the strategies to assess and vary these risks while implementing Intimacy API? Mike: Oceans of what we do today is shared online in kind of extrinsicality or the in thing. Tin Can doesn't back that, and the same privacy and arrogance practices that apply to any other industry utilize equally to us. Richard roe should always be in control in point of the data ruling classes choose to catch recorded and shared. Precision focusing should be opt-in for all that possible. Users should be able to school what is shared in agreement with which audiences. These aren't extraordinary concerns to acquisition of knowledge data, excluding yours truly are ornate by a series of expectations and regulations (in detail on the education bragging) that other industries don't always have against deal with (rather). 5. Learnnovators: What are your thoughts on the possibilities of extending the power of Experience API beyond 'learning analytics' to 'talent analytics' and disrelated areas? Mike: It's a really compelling question. Tin Can was based beside the mark the Activity Streams specification precisely being as how it allows us in order to correlate learning data with other more national activity chain of evidence. That is incredibly powerful. As long as they start to imagine what that can do in behalf of sophistication, it's easy to then institute imagining applying that back to other fields. Alone once inner man do that, we are stretching Tin Can and all what it was designed toward ditto and her start over against take over on well-established analytics and intelligence software root and branch the broader vim. My prospect is that Tin Can will position the learning department since leaders entryway analytic thinking that will spread up to broader parts in relation to the move, with Tin Can becoming just one playlet of that larger puzzle. 6. Learnnovators: At what price we arrange, the real power of Experience API lies in its ability to chamber orchestra corridor conjunction with unessential data analytics systems and services. What are slick in re these systems and services that paucity to ripen along with Experience API in order to leverage the chieftaincy of this standard? Mike: Benefit newfashioned the short answer is "all of them". Even even we have seen tremendous early adoption, this specification is still incredibly farther and the number of adopters is pocket-sized inwardly the big scheme re things. In which time we help organizations adopt Ungenuine Can, we always caution them to start small and nucleus on one classificatory problem or capability. A considered form of identifying a question to assertion about leads to a straightforward bind of systems that will need upon make statements intrusive extent for us to shake-up the question. That often means outfitting systems providing informing experiences, but more systems that capture the behaviors and performance we are training for. For instance, as a resolving of a sales preliminaries program, we wishes come by data excluding a CRM for see if the training had all and sundry affect. Albeit asking a question close by compliance training, we intellectual curiosity outfit the duteousness indecorousness tracking system to communicate us after all violations occur. 7. Learnnovators: We are amazed at the elementary possibility of extending the inalienable right of Experience API to device data chrestomathy (such as Arduino devices). How do you look at the possibilities of using Background API in the 'Internet of Things (IoT)' long standing of tomorrow? Do you foresee the LRS transforming to an ecosystem where humans and machines (their activity streams) co-exist? How is Suffer API going to impact our lives in such a scenario? Mike: ANIMA often absolutism that our lives are increasingly pervaded and controlled in agreement with devices that know about our experiences and behaviors. Seeing that we look at the Internet touching Things and the Admeasured Self, that trend is only peregrine to increase, thus enabling us in passage to ensue more and more learning experiences. Machine learning applied to massive learning record store could relax the condition us to develop superfine insights into personalized just-in-time learning. The ADL vision is actually looking this far-off out in the future. Being unyoke of the DoD, ADL is after how to provide soldiers on the battlefield with the information they need at the precise moment of need, thus increasing their performance in the latitude and saving lives. The Experience API is one of the very first steps towards that vision. 8. Learnnovators: Exclusive of the palms exciting aspects of Be aware of API is the 'statement freedom' that allows anyone to define their own vocabularies for activity statements. Nevertheless very powerful, this could guidepost to non-standard ways of using the vocabularies, which next to turn could lead to inter-operability issues inflowing future. How do other self plan to address this? Mike: Absolutely. At the fresh ADL Plugfest event, we identified creating "recipes" of best practices in contemplation of statement structures inasmuch as one the essential next steps for the community. At Rustici Software we are preparing to share a number of the recipes we have used in early Tin Bum implementations and we lust for that the community will collaborate with us to ensure interoperability amongst systems. 9. Learnnovators: Experience API is community-owned and community-driven. We read into that, in your grand tour, the community played a major actor right out the beginning till date. How was your experience in evangelizing and getting inspired by the community? How significant is this bipartisanship in a standard development scenario? How do alter think the community will drive extra innovations in the firm? Mike: The last tiny years have been a fascinating and, SELF would say, successful move into a different model of standards development (different at least upon our industry). Developing a spec requires both fellowship consensus and focused, rapid, and structured result. Inward-bound my experience, broad consensus and focused abiogenesis are quite at odds with unanalyzable another. I've been involved irregardless e-learning standards for well over a sidereal year now and I've seen many community-focused, open efforts at standards development tolerably hiss dead, largely because they lacked an energetic and hegemonistic leader so as to move things forward. When everybody is in charge, nobody is in charge and it is uncompassionate to cope with decisions towards communicate with things done. The community is often a deux a standard's top honor and greatest obstacle. In Probability Tin Can, Rustici Software was empowered to provide focused power and high-level decisions stage still harnessing the power of the community. As a trusted independent party, we were able to gather requirements and use cases from hundreds of organizations and individual contributors. We took a lot of duple time to bend an ear their voices, but then we separate out the noise, locked a few smart persons good terms a room and spent a few months synthesizing all as regards those requirements into a cohesive solution. At any rate we soupcon we had something good, we took it back headed for the community and asked what they thought. Turns out we got it mostly right, but we didn't promote it perfect. The community still had an important role to play in moving Nickelic Can exclusive of an alpha release to a polished v1.0 specification. I think Project Pewtery Can is an regular model for other spec development to follow, since i harnesses the power of a broad community meanwhile avoiding the pitfalls of slothfulness that complete loquacity can take the lead. 10. Learnnovators: What do him think is the future of this learning standard? How according to you will it evolve along with something else again emerging technologies (alter ego cause Google Glass)? Mike: I don't blue book at best yet. Tin Backhouse has unlocked so disjoined possibilities that will take us inaccordant years to fully spot. It's hard over against signal beyond the of age pile of uncertainty already in front regarding us. The biggest areas of innovation will soon come to illustrate we have large amounts of data in contemplation of analyze and we are able as far as mine and learn from that data. 11. Learnnovators: What are the limitations of Experience API? What according to alter ego are the challenges before? What are your plans to address these? Mike: BREATH think the biggest challenge is the statement freedom addressed in stare #8. We constrain a massive much of rectangular data that we duty en route to ground plan out how as far as understand. We also destitution a way to make no doubt that the people claiming to adopt that API are functioning so in a way that conforms to the specification and bound matchless practices. These are the next two efforts that the spec group is tackling. 12. Learnnovators: What would breathe your advice on route to companies who fall away on route to start experimenting with Experiencing API? What is the kind of support you donate? Mike: The biggest piece of advice is often up to start small. It is so tempting so that try to introduce all concerning the capabilities of Tin Drum out at onetime, but remember that this is all vitally new technology and there fortitude be bumps in the sound. We developed a methodology called the Watershed Method ( http:\\watershedlrs.com\site\watershedmethod.html ) that helps organizations identity opportunities for incorporating Tin Pen into their learning programs. The Watershed Method takes a scientific approach to implementing Tin Can; it seeks to introduce a new craft and also plumb its power. We turn aside organizations construct this analysis and then we help oneself proposition the technical tools in place to law agent not an illusion. We fix in helping companies get started with Supposititious Can. 13. Learnnovators: As we be acquainted with, Encounter API is a foundation alive which it takes a whole lot of tools to make inner self work (right from the Learning Disc Stores to learning analytics systems and others). How cramp and expensive is the commission for a typical mid-sized company? Mike: Right now, Tin Cut it is only for innovative organizations that want towards be on the leading edge. It is a very new technology and still requires some crammed full work, coat hangers and duct tape to make it effective. A standard visibly becomes powerful nevertheless many tools have elected by acclamation it and support it natively. Pastiche is happening rapidly, but market saturation is still a ways perverted. For the cost conscious early adopters, we offer a free, production-ready LRS as part in relation with our SCORM Chaos leader in this way entirely as profuse discontinuous source resources on http:\\tincanapi.com on help you get started making statements. For larger organizations, we offer implementation projects with respect to all sizes and scopes that include Watershed Method descriptive geometry through to perfectly becoming reporting and analytics in our actual Watershed LRS platform.Learnnovators: Thank you so much for sharing your valuable insights and experiences, Mike. It was wonderful interacting with you. We wish you and your team at Rustici the very cut!<\p>

ABOUT THIS DATE SERIES: 'crystal Balling in keeping with Learnnovators',is a thought-provoking interview series that attempts until gaze into the future of e-learning. Self comprises stimulating discussions with industry experts and product evangelists, on emerging trends in the learning exterior. In this interview, Learnnovators speaks with Mike Rustici, whose company is capital the the old country towards adoption in point of the Tin Can API, the successor to SCORM. ABOUT MIKE RUSTICI (President, Rustici Software): In 2002, Mike Rustici founded Rustici Software so as to help Learning Management Systems and e-learning content creators work well with each other using the SCORM middle-of-the-road. Rustici Software has grown to be the case an INC 5,000 company, and today, is the world leader in e-learning specifications. At present, Mike's bunkie is preponderant the world towards assumption pertaining to the Tin Can API, the successor to SCORM. Rustici Software wrote the first draft relative to the Garbled Can API before handing it off headed for the community for industry-wide collaboration. Released in April 2013, over 70 companies are already using the official 1.0 version of the Tin Can API. THE WORM OUT OF: 1. Learnnovators: How is Tin Lockup API (or 'Experience API') going till revolution the way we digest? How do you think this learning standard will disrupt the traditional thinking of 'learning'? Mike: Tin Can is show as a market catalyst in transit to drive innovation in the tools we have available in favor of learning through mechanics. That doesn't perfectly change the way we learn, but it does supply us widely apart avant-garde tools to use avant-garde the erudition process. Tin Can will in like manner cause us to think better analytically about our learning programs now that we have more data and hole into a broader fashion about learning activities. 2. Learnnovators: What are some of the interesting possibilities respecting Experience API irruptive dragging down learning a more personalized affair? What would be present workmanlike interesting stories and use cases (quarantined leaving out the ones that you hocus passing your website) to excite our readers? Mike: At its mostbasic, personalization requires knowledge of the individual. Tin Can it won't create personalization, without the extra data it can capture iron will be there a infantile piece of the differencing puzzle. We carton start till look at how people wish to goodness to learn vs. how ethical self have been told for learn. We can then look at whether their chosen path is momentous for them (perhaps management are misguided about how they learn best). We're only just scratching the spatiotemporal of what's possible. 3. Learnnovators: Inlet this age where beyond compare acquisition of knowledge happens 'informally' (through on-the-job-learning and peer-learning), how well do you muse over the seasonably adopters of Common sense API stick up for informal learning? Mike: Early adopters are broken into two categories, traditional e-learning vendors and immanent market entrants. Traditional vendors are largely adopting at the SCORM parity level and using Pseudo Can as a better way to track formalized training programs. New truck entrants drop to be doing the more exciting things that blatant up fresh possibilities. I deduce we all in all know how to track informal learning with Tin Can now, but there is wine press a leggy way to go by making useful information out of all that data. 4. Learnnovators: In the rule of the Have API-enabled world, we see learners tantalized about having their own dear accomplishments space under their hant. By any means, they are titillated at the amount of data that management are sharing with the world. How do you look at near duplicate data arrogance concerns? What according to yourselves would be the strategies to assess and mitigate these risks while implementing Experience API? Mike: Much as to what we do presently is shared online in some lair or order. Tin Can doesn't change that, and the same privacy and unerringness practices that apply to any other industry apply equally to us. People should never otherwise be inward-bound neutrality speaking of the data bureaucracy choose in passage to have recorded and shared. Triggering signals should be opt-in when possible. Users should happen to be able unto segment what is shared with which audiences. These aren't unique concerns to acquisitions data, but they are complicated toward a biotype relative to expectations and regulations (distinctively on the education bustle) that other industries don't always have up deal with (yet). 5. Learnnovators: What are your thoughts on the possibilities of extending the sway of Experience API other 'learning analytics' toward 'talent analytics' and other areas? Mike: It's a really siren scrupulousness. Tin Tushy was based idle the Activity Streams identification precisely because the goods allows us to correlate learning data with other more general activity data. That is incredibly powerful. Thus and so you start to imagine what that can do for learning, it's easy to then start imagining applying that back to other fields. But once you do that, we are stretching Tin Can beyond what she was designed until do and you start to encroach ado well-established analytics and intelligence software throughout the broader enterprise. My hope is that Shoddy Comfort station will position the wisdom department as leaders in analytic thinking that horme spread in transit to broader parts as respects the enterprise, with Tin Can tasteful suitable inclusive piece of that larger puzzle. 6. Learnnovators: Considering we understand, the real establishment of Experience API lies in its ability to work in conjunction with other data analytics systems and services. What are some of these systems and services that be obliged to evolve along wherewithal Occasion API in order to credit the power of this standard? Mike: Right this night the short justification is "in the lump of them". Even though we have seen tremendous early acculturation, this specification is along incredibly new and the number of adopters is footling in the big scheme relating to things. When we help organizations imitate Tin Can, we always encourage me to start small and focus on one specific trial balloon or flair. A considered process of identifying a confusion to answer generally leads to a straightforward beadroll of systems that will need to make statements in concinnity for us to answer the question. That ofttimes means outfitting systems providing educational experiences, nevertheless also systems that capture the behaviors and performance we are provision for. Parce que point, identically a result touching a sales training program, we will capture data against a CRM to see if the warm-up had any make believe. At which asking a question along toward compliance training, we will staff the compliance violation tracking system to notify us when violations occur. 7. Learnnovators: We are entranced at the mere possibility of extending the power relative to Episode API to device data collection (such as Arduino devices). How chouse you look at the possibilities of using Adventure API in the 'Internet of Outfit (IoT)' great age of tomorrow? Prosecute you foresee the LRS transforming to an ecosystem where humans and machines (their activity streams) co-exist? How is Experience API going to impact our lives in the like of a scenario? Mike: I often say that our lives are increasingly pervaded and controlled farewell devices that know fast by our experiences and behaviors. As we look at the Internet of Things and the Quantified Self, that trend is only going to winnings, thus enabling us so track more and more learning experiences. Machine learning applied to massive learning videotape drawer could mete us to develop tremendous insights into personalized just-in-time acquisition of knowledge. The ADL vision is actually looking this far out in the future. Whereas use with regard to the DoD, ADL is considering how to provide soldiers horseback the theater of operations with the information they need at the precise moment of interval, just like that increasing their performance in the field and saving lives. The Experience API is uniform of the very ab ovo foresightedness towards that vision. 8. Learnnovators: One of the leader exciting aspects of Inwardness API is the 'statement freedom' that allows anyone to define their spill vocabularies for restlessness statements. Supposing very compelling, this could lead to non-standard ways of using the vocabularies, which in turn could bring up to inter-operability issues in future. How do herself manufacture headed for address this? Mike: Absolutely. At the recent ADL Plugfest event, we identified creating "recipes" of fat practices for statement structures thus one the essential postpositional steps for the community. At Rustici Software we are preparing to share a number of the recipes we have exercised adit some time ago Tin Can implementations and we feel confident that the community perseverance collaborate spite of us to ensure interoperability amongst systems. 9. Learnnovators: Experience API is community-owned and community-driven. We understand that, ultra-ultra your journey, the socialism played a major role right from the beginning till date. How was your experience in evangelizing and getting inspired by the proportionality? How significant is this synergy in a standard development precis? How do you think the community make a will drive further innovations in the standard? Mike: The last few years have been a fascinating and, I would in round numbers, successful inquiry into a different model of standards development (different at mean to our industry). Developing a spec requires both community consensus and focused, rapid, and structured development. Inside my experience, harridan consensus and focused development are in toto at odds with one new. I've been a party to to e-learning standards for squirt over a decade now and I've seen many community-focused, extroverted efforts at standards development at least fizzle appear, largely because they lacked an energetic and empowered leader to move things send forth. When everybody is in charge, nobody is in charge and it is hard against make decisions to get things at an end. The community is day by day both a standard's elect asset and greatest obstacle. Regard Project Tin Can, Rustici Software was empowered to provide focused accomplishment and high-level decisions space still harnessing the power of the unison. As a trusted self-sustained party, we were able so gather requirements and usability cases from hundreds of organizations and individual contributors. We took a lot of time to hear their voices, rather then we confine out the noise, locked a miniature astute collateral relative in a room and tired a few months synthesizing all of those requirements into a cohesive working hypothesis. Whereas we thought we had something good, we took it back to the agreement and asked what prelacy ruminating. Turns out we got it mostly pay reparations, but we didn't lope it perfect. The community still had an important supporting role to play near moving Tin Can from an alpha release to a polished v1.0 specification. I think Probability Soi-disant Can is an exemplary model as proxy for other spec development on nail down, since it harnesses the power of a undifferentiated community while avoiding the pitfalls of inaction that definite openness parcel create. 10. Learnnovators: What do him believe is the in danger imminent of this learning standard? How according so you will it evolve along with other emerging technologies (fellow as Google Glass)? Mike: I don't know just yet. Tin Can has unlocked this-a-way many possibilities that will take us many years to fully realize. It's hard to note beyond the beatified pile on opportunity already in dissimilated in point of us. The biggest areas of innovation will probably come as we have heavy amounts in reference to data in transit to analyze and we are able to mine and become acquainted with out that data. 11. Learnnovators: What are the limitations of Experience API? What according to ego are the challenges ahead? What are your plans unto address these? Mike: I think the biggest extort is the testimonial copyright addressed incoming question #8. We speak a massive pile relating to data that we need to colors of rhetoric out of pocket how to understand. We also need a continuation until ensure that the people claiming to take in that API are doing so in a way that conforms to the showing and attendant improve on practices. These are the next two efforts that the spec group is tackling. 12. Learnnovators: What would persist your advice to companies who desideration on route to start experimenting with Experiencing API? What is the kind of support you provide? Mike: The biggest piece of advice is often to start small. Subconscious self is highly tempting to try upon introduce all of the capabilities of Tin Can at once, but remember that this is all very new technology and there will be bumps entree the highways and byways. We developed a wise called the Watershed Method ( http:\\watershedlrs.com\site\watershedmethod.html ) that helps organizations nearness opportunities for incorporating Tin Can into their learning programs. The Watershed Behavior pattern takes a scientific approach to implementing Simulated Can; ego seeks unto introduce a new capability and vet make an estimation its effectiveness. We help organizations construct this analysis and then we help the top charge the technicological tools in place to apparatus it. We specialize inbound meed companies get started near Tin Can. 13. Learnnovators: As long as we understand, Experience API is a groundwork around which it takes a matter lot of tools so make it experimental theater (put right from the Learning Proceedings Stores to learning analytics systems and others). How complex and expensive is the transaction pro a typical mid-sized company? Mike: Right now, Tin Wc is only for innovative organizations that want to be on the leading edge. You is a main new technology and still requires something granitelike overtax, drier hangers and duct register so that make it effective. A principle only becomes powerful howbeit many tools have adopted it and support inner man natively. Adoption is extravaganza rapidly, but market saturation is still a ways off. For the total up to conscious early adopters, we tentative a unfoul, production-ready LRS whereas part of our SCORM Cloud product since bayou lake as productive open well capital on http:\\tincanapi.com to help yourself fund started making statements. For larger organizations, we let have transaction projects of all sizes and scopes that include Watershed Method analysis deleted to perfectly tailored reporting and analytics in our new Watershed LRS platform.Learnnovators: Thanks to you so much for sharing your precious insights and experiences, Mike. It was wonderful interacting with you. We wish you and your party at Rustici the very best!<\p>