#learning analytics systems

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>

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>