Transcript – March 31, 2016: Data

8:30 PM lrnchat Welcome everyone to #lrnchat! How have you been?
8:30 PM weisblatt Getting ready for the tweet twister that is #lrnchat
8:30 PM RdngTchr2 RT @lrnchat Welcome everyone to #lrnchat! How have you been? ~Wonderful!
8:31 PM lrnchat Please introduce yourselves. Passions? Projects? What are you working on these days? #lrnchat
8:31 PM weisblatt I can only stay for he first half of #lrnchat
8:31 PM SimonBlairTrain @weisblatt “Tweet twister” I like that. #lrnchat
8:32 PM weisblatt A-intro) Adam Weisblatt Learning Technodoodler from Connecticut #lrnchat
8:32 PM lrnchat Any first-time #lrnchatters tonight? Please say hi. Ask for help if you need it. #lrnchat
8:32 PM weisblatt @JaneBozarth Hi Jane #lrnchat
8:32 PM jyoti__gupta #lrnchat Howahyah from Boston. Having fun (and getting scared) learning about the intersection of AI and human learning this week.
8:32 PM sbruington Hello, #lrnchat. Stephen from Roanoke, VA. I’ve been caught up in all things SharePoint recently!
8:33 PM RdngTchr2 Paula Lee Bright, still trying 2 improve w/Adobe Captivate…agonizingly slow @ learning it. But still trying. Suggestions welcome! #lrnchat
8:33 PM weisblatt @jyoti__gupta sounds intriguing #lrnchat
8:33 PM JD_Dillon Howdy #lrnchat! JD in Orlando. Learning geek w/ @Axonify, speaker, blogger, blabber, podcast addict. https://t.co/Z21r3G9Yzj
8:33 PM SimonBlairTrain Hi #lrnchat people. Simon up in Ontario. These days I’m mostly working on infrastructure projects.
8:33 PM sbruington .@jyoti__gupta Whoa! That’s deep. Anything worth sharing? #lrnchat
8:33 PM vidyakumar Hello #lrnchat and everyone! Vidya here from India.
8:33 PM EduNut @lrnchat First timer- Syd from New Mexico, HS Humanities at a PBL magnet. Hello, all! #lrnchat
8:33 PM sbruington .@vidyakumar Hey, Vidya! #lrnchat
8:34 PM SimonBlairTrain @sbruington SharePoint? Oh dear! #lrnchat
8:34 PM sbruington .@JD_Dillon @Axonify JD! Any podcast recommendations? #lrnchat
8:34 PM MrKMaston @lrnchat Sydneysider, here! I have a passion for wine and games. My project is my life. I am currently working on my Spanish. #lrnchat
8:34 PM lrnchat Q0) We always begin with this: What did you learn today? If not today, then this week? #lrnchat
8:34 PM RdngTchr2 RT @jyoti__gupta Having fun (and getting scared) learning about the intersection of AI and human learning this week. Skeery! #lrnchat
8:34 PM SimonBlairTrain @EduNut @lrnchat Welcome to the party Syd. Glad you joined us! #lrnchat
8:34 PM weisblatt I’m rolling out biweekly enhancements to our Learning Ecosystem #lrnchat
8:35 PM weisblatt RT @lrnchat: Q0) We always begin with this: What did you learn today? If not today, then this week? #lrnchat
8:35 PM jyoti__gupta @sbruington As AI gets smarter, how do humans keep up? (Gene therapy was suggested! – Scary!) #lrnchat
8:35 PM sbruington A0) Today I learned that expressing gratitude to others goes a long way! #lrnchat
8:35 PM 4KM Hello everyone! Alice MacGillivray signing in from the west coast of Canada. #lrnchat
8:35 PM JD_Dillon Been exploring idea of “hidden L&D community” – those who engage in org learning but aren’t active as part of larger convo #lrnchat
8:35 PM jyoti__gupta @weisblatt It was. Check my twitter feed for more info on the conference I watched. it was _fascinating_. #lrnchat
8:35 PM btopro A0) Embrace, extend and extinguish. The methodology of Microsoft will be very useful indeed. #lrnchat
8:36 PM btopro RT @lrnchat: Q0) We always begin with this: What did you learn today? If not today, then this week? #lrnchat
8:36 PM vidyakumar @lrnchat I learned that proficiency of language has no bearing on effectiveness of communication, and vice versa. #lrnchat
8:36 PM sbruington . @JD_Dillon Very cool. How do you uncover those “hidden” communities? #lrnchat
8:36 PM weisblatt A0) I learned that there are a lot of closed learning platforms out there that say they aren’t LMS’s but they smell like LMS’s #lrnchat
8:36 PM RdngTchr2 RT @MrKMaston My project is my life. ~An ongoing project, then? 😉 #lrnchat
8:36 PM 4KM Teaching a leadership course for 1st time (advanced action research) and am learning lots from a person who knows it well #lrnchat
8:36 PM SimonBlairTrain A0: I learned that the iPad Gmail app doesn’t feel the same as the web version. #lrnchat Also that Outlook feels even weirder.
8:37 PM JD_Dillon A0) Plenty of great brief convos w/ industry peers, reminded how strong community support is #lrnchat https://t.co/aIPB2YQF1y
8:37 PM brunowinck Hello #lrnchat Bruno, Nigh owl at @Kneaver, lurking while long job is on progress
8:37 PM weisblatt RT @JD_Dillon: Been exploring idea of “hidden L&D community” – those who engage in org learning but aren’t active as part of larger convo #…
8:37 PM 4KM Also [re-] learned that many people think a space on a website is a community of practice #lrnchat #KM
8:37 PM JD_Dillon @sbruington Favorite is still @nerdist w/ @hardwick #lrnchat
8:37 PM weisblatt @JD_Dillon Right, every nook and cranny you look at and a new L&D group pops out that you didn’t know existed. #lrnchat
8:38 PM SimonBlairTrain @brunowinck @Kneaver Hi Bruno. Long time no see! “I’m not goofing off, my code is compiling”? 🙂 #lrnchat
8:38 PM EduNut A0. Today I learned the many reasons my relatives may have had for having plastic on their furniture, lol. #lrnchat https://t.co/1LSK6UvCJP
8:38 PM susangenden #lrnchat A0) Incorporating meaningful narrative along with the learning content – a rewarding learning task. https://t.co/dDkn2jB93Z
8:38 PM jyoti__gupta a0) pondering – as a company grows bigger, is it impossible to maintain role-based certs/creds. Do you switch to product-based? #lrnchat
8:38 PM brunowinck A0) Learned that following your procedures has some benefits, and not following them some drawbacks 🙂 #lrnchat
8:38 PM gabriellabroady RT @lrnchat: Q0) We always begin with this: What did you learn today? If not today, then this week? #lrnchat
8:39 PM MrKMaston @lrnchat A0) I learned this week that Go is a much more complex game than I envisaged. Enjoying the struggle! #lrnchat
8:39 PM brunowinck @SimonBlairTrain Days are now longer and coffee supply replenished, plus topic interesting #Lrnchat
8:39 PM Tracy_Parish RT @lrnchat: Q0) We always begin with this: What did you learn today? If not today, then this week? #lrnchat
8:40 PM sbruington .@MrKMaston @lrnchat Have you heard / read about Google’s AI that mastered Go? #lrnchat
8:40 PM lrnchat Q1) What is the difference between data and information? #lrnchat
8:40 PM gabriellabroady A0. Learned that every choice you make has alternate choices -always have options #lrnchat
8:40 PM weisblatt A0) I learned that a cartoon, even if scribbled on scrap paper and uploaded on my phone is still worth a thousand words. #lrnchat
8:40 PM weisblatt RT @lrnchat: Q1) What is the difference between data and information? #lrnchat
8:40 PM JD_Dillon @JaneBozarth folks who work in formal learning/performance roles, willing to share experiences/ideas on related topics #lrnchat
8:40 PM MrKMaston @sbruington @lrnchat Yes I have! Hence my quest to beat AI 😛 #lrnchat
8:40 PM Tracy_Parish Tracy Parish, ID in healthcare, Newmarket, ON. #lrnchat
8:40 PM brunowinck @SimonBlairTrain did you se the new gmail feature annoounced on their blog? #lrnchat
8:41 PM Tracy_Parish RT @lrnchat: Q1) What is the difference between data and information? #lrnchat
8:41 PM JD_Dillon A1) Data is raw – doesn’t have inherent meaning until analyzed/interpreted #lrnchat https://t.co/ar2DSW8p1T
8:41 PM btopro RT @lrnchat: Q1) What is the difference between data and information? #lrnchat
8:41 PM weisblatt A1) Data is evidence that an aspect of the universe existed. Information is what the universe is going to do with it. #lrnchat
8:42 PM btopro A1) #lrnchat data unprocessed, information is the attempt to apply meaning
8:42 PM RdngTchr2 RT @EduNut A0. Today I learned the many reasons my relatives may have had for having plastic on thr furniture, lol. ~I can imagine! #lrnchat
8:42 PM 4KM A1 Data form the primordial soup of information #lrnchat
8:42 PM vidyakumar A1) Data = hard facts. Information = your version of the facts (could be right or wrong). #lrnchat
8:43 PM SimonBlairTrain A1: Data is just facts, information adds meaning. Neither one should be confused with “truth”, though. #lrnchat
8:43 PM weisblatt A1) Data is wheat. Information is bread. #lrnchat
8:43 PM sbruington RT @weisblatt: A1) Data is evidence that an aspect of the universe existed. Information is what the universe is going to do with it. #lrnch…
8:43 PM gabriellabroady Data is information that hasn’t been translated into “talking points” #lrnchat
8:43 PM willconstantine Just stopping by to say hello. Out tonight. I have good a chat! #lrnchat
8:43 PM gabriellabroady RT @btopro: A1) #lrnchat data unprocessed, information is the attempt to apply meaning
8:43 PM JD_Dillon A1) Data + Context + Experience = Information #lrnchat https://t.co/Vdr3IgS79d
8:43 PM gabriellabroady RT @vidyakumar: A1) Data = hard facts. Information = your version of the facts (could be right or wrong). #lrnchat
8:44 PM kregerck A1) Data is everywhere, information starts with your interpretation of it. #lrnchat https://t.co/lnKFtBxpNR
8:44 PM 4KM A1 Data: the stuff praised in natural science and questioned in human science #lrnchat
8:44 PM brunowinck A1) Data don’t relate much to human context, it’s usually pretty tabular and systematic #lrnchat
8:44 PM Tracy_Parish RT @SimonBlairTrain: A1: Data is just facts, information adds meaning. Neither one should be confused with “truth”, though. #lrnchat
8:44 PM jyoti__gupta @sbruington Check out https://t.co/NrBdLDpvW2 #lrnchat
8:44 PM weisblatt RT @SimonBlairTrain: A1: Data is just facts, information adds meaning. Neither one should be confused with “truth”, though. #lrnchat
8:44 PM JD_Dillon @JaneBozarth less about skill, more respect/trust – generally speaking #lrnchat
8:44 PM 1tracycarroll .@lrnchat @JaneBozarth Data=facts, details, stats. Information=the meaning derived from data. #lrnchat
8:44 PM kregerck RT @SimonBlairTrain: A1: Data is just facts, information adds meaning. Neither one should be confused with “truth”, though. #lrnchat
8:44 PM theASIDEblog Traditionally we think of data as numbers, information as words. In reality, data is information. #lrnchat
8:44 PM JD_Dillon RT @weisblatt: A1) Data is evidence that an aspect of the universe existed. Information is what the universe is going to do with it. #lrnch…
8:45 PM weisblatt A1) Data is what we choose to pay attention to. Information is what we choose to use. #lrnchat
8:45 PM 4KM A1 Oooooh We’re already diving into truth. #lrnchat will get the blood flowing tonight.
8:45 PM SimonBlairTrain @JD_Dillon @JaneBozarth In other words, people who can influence you (for better or for worse). #lrnchat
8:45 PM weisblatt RT @4KM: A1 Oooooh We’re already diving into truth. #lrnchat will get the blood flowing tonight.
8:45 PM JD_Dillon RT @weisblatt: A1) Data is what we choose to pay attention to. Information is what we choose to use. #lrnchat
8:46 PM sbruington A1) Data is raw and virtually useless. Information is sense-making of that data, therefore useful. #lrnchat
8:46 PM sbruington RT @weisblatt: A1) Data is what we choose to pay attention to. Information is what we choose to use. #lrnchat
8:46 PM weisblatt A1) Data is the thread. Information is the pattern. #lrnchat
8:46 PM gabriellabroady Information is how we spin data…politics anyone? #lrnchat
8:46 PM 4KM If it’s a single truth, it’s probably tied to data 😉 #lrnchat https://t.co/7MUHRO7lJj
8:46 PM gabriellabroady RT @sbruington: A1) Data is raw and virtually useless. Information is sense-making of that data, therefore useful. #lrnchat
8:46 PM sbruington A1) At its core, data is 1s and 0s. We can’t do anything with that. Programs turn data into information. We can use that. #lrnchat
8:47 PM lrnchat Q2) For all the data available, how much gets used? Do we learn from the data? #lrnchat
8:47 PM sbruington A1) Data = facts. Information = story. #lrnchat Humans love stories.
8:47 PM vidyakumar A1) Data is raw. Becomes information when its processed, and then its fit for human consumption. #lrnchat
8:47 PM weisblatt RT @lrnchat: Q2) For all the data available, how much gets used? Do we learn from the data? #lrnchat
8:47 PM SimonBlairTrain @sbruington Although you have to be careful. honest data can easily be spun into misleading information. #lrnchat
8:47 PM gabriellabroady RT @4KM: If it’s a single truth, it’s probably tied to data 😉 #lrnchat https://t.co/7MUHRO7lJj
8:47 PM MrKMaston @lrnchat A1) Well, well, well. Data vs Information! Good distinction. It seems I can now answer Q7 “what did you learn tonight” #lrnchat
8:47 PM gabriellabroady RT @lrnchat: Q2) For all the data available, how much gets used? Do we learn from the data? #lrnchat
8:47 PM gabriellabroady RT @sbruington: A1) Data = facts. Information = story. #lrnchat Humans love stories.
8:47 PM sbruington A2) We learn by making sense of data individually, and consuming others’ interpretations of data (i.e., info). #lrnchat
8:47 PM theASIDEblog Some would argue that data does not lie, but information does. #lrnchat
8:48 PM weisblatt A2) To make use of data you have to find usable patterns. Humans are good at that but now there is too much data. #lrnchat
8:48 PM JD_Dillon A2) Data doesn’t tell the story but can help us ask better questions #lrnchat https://t.co/KSExfoZA6o
8:48 PM Tracy_Parish RT @lrnchat: Q2) For all the data available, how much gets used? Do we learn from the data? #lrnchat
8:48 PM 4KM A2 Most people use data selectively to argue or discuss. #lrnchat
8:48 PM RdngTchr2 RT @SimonBlairTrain @sbruington Although u have 2 be careful. honest data can easily be spun into misleading information. ~SO true! #lrnchat
8:48 PM sbruington .@weisblatt Do you really believe that? Now there “is too much data?” If so, what do we do about it? #lrnchat
8:48 PM MrKMaston @SimonBlairTrain @sbruington Statistics, even! #damnedlies #lrnchat
8:49 PM 4KM The trouble is we use knowledge and biases to design data gathering. #lrnchat https://t.co/zXABRBq9PP
8:49 PM theASIDEblog Big Data is pushing decisions, evaluating results, and driving markets. Hard to argue it’s not information. #lrnchat
8:49 PM sbruington A2) The availability of data provides the opportunity of choice. If it weren’t there, we couldn’t share information. #lrnchat
8:49 PM gabriellabroady Well I understand we L&D folk don’t use data enough to prove ROI, right? (Tongue in cheek) #lrnchat
8:49 PM JD_Dillon A2) Less about how much data gets collected, more on how we can access + combine right data to ID trends #lrnchat https://t.co/KSExfoZA6o
8:49 PM gabriellabroady RT @4KM: A2 Most people use data selectively to argue or discuss. #lrnchat
8:49 PM 1tracycarroll @theASIDEblog “Lies, damned lies, and statistics” #lrnchat
8:49 PM SimonBlairTrain A2: What’s that stat about X hundred hours of new YouTube videos every day? And that’s the tip of the data iceberg. #lrnchat
8:49 PM susangenden .@theASIDEblog Except that rich data conveys more than numbers, is feelings, essences, perceptions. Need interpretation to inform #lrnchat.
8:49 PM jyoti__gupta a2) depends on the situation. I think you need AI to make sense of a huge amount of data #lrnchat
8:49 PM vidyakumar A2) I’m sorry I have no data on it 😉 #lrnchat
8:50 PM reward75 Sorry to miss #lrnchat 2nite. Got a million things to take care of. Catch you all next time!
8:50 PM weisblatt @sbruington There’s just more data than humans can sift through. #lrnchat
8:50 PM sbruington While that may be true, I can only consume a finite amount of that data…as info [to me]. #lrnchat https://t.co/fqQ4DxufPx
8:50 PM JD_Dillon A2) Orgs collect A TON of employee/customer data – but who takes advantage/shares/can interpret it? #lrnchat
8:50 PM SimonBlairTrain A2: There’s so much data out there. The challenge isn’t collecting the data, it’s sifting it and finding what you need in there. #lrnchat
8:50 PM brunowinck A2 We don’t learn directly from data but from some outcome of transformations made on data like Analytics or deep learning #lrnchat
8:50 PM gabriellabroady A2. Often data that is used is only used if it supports a preconceived notion #lrnchat
8:50 PM LnDDave Greetings #lrnchat. David from NY checking in. It’s been too long. 🙂
8:50 PM Tracy_Parish Did I block you @JaneBozarth? I can’t see your tweets tonight. #lrnchat 😉
8:50 PM vidyakumar A2) The answer is, not enough. #lrnchat
8:51 PM brunowinck “@weisblatt @sbruington good point is that now it’s only of hard drive, no trees are harmed for it #lrnchat
8:51 PM theASIDEblog Designing information is all about manipulating data to suit outcomes. It’s the historiagraphy in the media world. #lrnchat
8:52 PM 4KM A2 Understanding the difference between AI and human intelligence becomes key. Have them complement each other. #lrnchat
8:52 PM weisblatt How much data is there? https://t.co/TawlJs0ECW #lrnchat
8:52 PM sbruington Their definitions (data & info) are very similar: one is for reference (data), the other is about someone/something (info). #lrnchat
8:52 PM gabriellabroady RT @theASIDEblog: Designing information is all about manipulating data to suit outcomes. It’s the historiagraphy in the media world. #lrnch…
8:52 PM SimonBlairTrain @JaneBozarth Was I the ONLY person who didn’t find the rooms at #LSCon cold? 🙂 It was unbearably hot outside, though. #lrnchat
8:52 PM 4KM Even scientific journals don’t like to use data that doesn’t show a positive result #lrnchat #bias
8:53 PM brunowinck @Tracy_Parish me either unless I click on her name @JaneBozarth #lrnchat
8:53 PM 2be2learn A2 and the “bad data” is often “lost” forever. Good evening #lrnchat.
8:53 PM JD_Dillon A2) Focus less on amount of data, more on identifying, collecting, analyzing actionable data + getting into right hands #lrnchat
8:53 PM weisblatt A2) Data has 0 value until you can see usable patterns in it. #lrnchat
8:53 PM LnDDave A2) a fundamental problem is the lack of alignment between those that collect data and those that want to use it. #lrnchat
8:53 PM Tracy_Parish RT @weisblatt: How much data is there? https://t.co/TawlJs0ECW #lrnchat
8:54 PM lrnchat Q3) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
8:54 PM brunowinck @4KM +1 it’s an abuse of language like we had for organizational knowledge, in both case mapped very human features to abstractions #LrnChat
8:54 PM MrKMaston @2be2learn #lrnchat https://t.co/3gi8Oxow9r
8:54 PM gabriellabroady RT @LnDDave: A2) a fundamental problem is the lack of alignment between those that collect data and those that want to use it. #lrnchat
8:54 PM SimonBlairTrain @LnDDave Yes! People don’t seem to grok that you don’t design a database until you know what reports you want from it. #lrnchat
8:54 PM JD_Dillon A2) If you’re not prepared to do something with it, why measure it? #lrnchat
8:54 PM sbruington A3) I think it’s less about which data we do and don’t need, and more about what value we can glean from what we have. #lrnchat
8:55 PM gabriellabroady RT @lrnchat: Q3) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
8:55 PM weisblatt A2) We learn from data if we can project the patterns into the past and the future. #lrnchat
8:55 PM LnDDave A2) it’s hard to learn from data when you don’t know how to interpret it. #lrnchat
8:55 PM susangenden .@4KM Biases not necessarily a problem if one acknowledges one’s biases. Acknowledgement and awareness needed, correct methodology #lrnchat
8:55 PM 4KM I’ve heard wikipedia pages on these topics can become quite intense #lrnchat
8:55 PM eLearninCyclops RT @Tracy_Parish RT @weisblatt: How much data is there? https://t.co/5o9ytQIx0y #lrnchat
8:55 PM weisblatt RT @lrnchat: Q3) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
8:55 PM Tracy_Parish And how much useless data is captured with the useful. #drinkingfromahose #lrnchat https://t.co/ZewaIQd7qB
8:55 PM SpotLightCard RT @gabriellabroady: Well I understand we L&D folk don’t use data enough to prove ROI, right? (Tongue in cheek) #lrnchat
8:55 PM weisblatt A3) Oh no. This conversation is going to go south quickly if we are already asking about the data we have on learning. #lrnchat
8:55 PM JD_Dillon A3) “Learning data” is inherently limited, must associate w/ performance/experience data to derive meaning #lrnchat https://t.co/xPEOA4dYf9
8:55 PM brunowinck @kregerck got the same pb with @pkmchat Twitter algorithm is striking us? #LrnChat @JaneBozarth
8:56 PM theASIDEblog Today, data is king. From standardized tests to market research, we are bombarded by numbers, and our information is tracked. #lrnchat
8:56 PM 4KM @susangenden Yes. Not a bit part of our educational system or good practices in this country though. #lrnchat
8:56 PM MrKMaston @lrnchat A3) The challenge lies in the knowing of what is needed. #lrnchat
8:56 PM vidyakumar A3) We have enough and more data, I believe. Its more interpretation that we need. #lrnchat
8:56 PM vidyakumar RT @LnDDave: A2) it’s hard to learn from data when you don’t know how to interpret it. #lrnchat
8:56 PM LnDDave A3) the shortcomings of the data we have is that it’s not often based on the data we need. #lrnchat
8:56 PM LnDDave RT @lrnchat: Q3) What are the shortcomings of the data we have? What data do we actually NEED? #lrnchat
8:56 PM jyoti__gupta a3) example: fitbit. My friend has one, says: after 6 months, it’s pretty much given you all the useful data it has #lrnchat
8:56 PM weisblatt A3) We have data about people showing up. We don’t know what happened after that. #lrnchat
8:56 PM 4KM @brunowinck Say more about the mapping Bruno? #lrnchat
8:57 PM eLearninCyclops RT @LnDDave A3) the shortcomings of the data we have is that it’s not often based on the data we need. #lrnchat
8:57 PM gabriellabroady A3. Shortcoming is that in many cases nothing changes in response to it or ppl think a 4 he training will fix it #lrnchat
8:57 PM JD_Dillon Just because no one has yet … #lrnchat #otherdata https://t.co/Qixygm1eXW
8:57 PM 2be2learn A3 shortcomings of mass volume of data/content we have – limited by staff skill set of to gather, interpret & communicate it #lrnchat
8:57 PM btopro A2 think ur seeing now that there’s too much data, leading ppl to make twitter-eek decisions too quickly not knowing when finalized #lrnchat
8:57 PM sbruington .@JD_Dillon Hahaha! Is that Data from Goonies? #lrnchat
8:57 PM 4KM Another challenge: when working with #complexity, even good data may not be predictive. #lrnchat
8:57 PM weisblatt Gotta run. Having a meeting with Singapore. Sorry to be skipping out on #lrnchat
8:58 PM eLearninCyclops A3) Sadly, It is Often misinterpretted or purposely misused to suit one’s ends. #lrnchat
8:58 PM vidyakumar RT @weisblatt: A3) We have data about people showing up. We don’t know what happened after that. #lrnchat
8:58 PM sbruington .@weisblatt Who am I going to RT now??? #lrnchat
8:58 PM elearning @lrnchat If Google analytics can provide useful data for web and marketing companies, how come it’s so hard for learning orgs? #lrnchat
8:58 PM btopro A3 #lrnchat politics of those producing data selection heuristics will only bring the data to us that ppl THINK we want / need
8:58 PM JD_Dillon @sbruington 👍🏻 #lrnchat
8:58 PM brunowinck @4KM Knowlege (Human -> Organization), Intelligence (Human -> Computers), haven’t seen the same with stupidity or wisdom yet:) #Lrnchat
8:58 PM LnDDave A3) the biggest shortcoming of the data most have is the acceptance that this is what learning data looks like. #lrnchat
8:58 PM JD_Dillon @weisblatt Wow … The WHOLE country! 😜 #lrnchat
8:58 PM 4KM @eLearninCyclops And how often do we really know what we need in advance? #lrnchat
8:59 PM LnDDave RT @elearning: @lrnchat If Google analytics can provide useful data for web and marketing companies, how come it’s so hard for learning org…
8:59 PM brunowinck Wisdom 🙂 if some people could hear you 🙂 #LrnChat https://t.co/GG9guyFBV9
8:59 PM SimonBlairTrain @elearning @lrnchat I think we’re just not asking the right questions.
If all we report is attendance/L1, other data gets ignored. #lrnchat
8:59 PM 4KM I think several of us are talking about boundary choices? How do we decide what we focus on for analysis and decisions? #lrnchat
8:59 PM ZJK1 #lrnchat if there is so much data out there than why do we think Scorm or XApi was ever substantial enough for quality #training reporting?
8:59 PM susangenden #lrnchat Susan in Michigan, have to leave early. Passionately working on video focused about collaboration. Thanks all!
9:00 PM eLearninCyclops A3) LMS often focuses on capturing the data LMS companies “think” we need #lrnchat
9:00 PM sbruington .@susangenden Take care, Susan in Michigan! #lrnchat
9:00 PM kregerck RT @JD_Dillon: A3) “Learning data” is inherently limited, must associate w/ performance/experience data to derive meaning #lrnchat https:/…
9:00 PM DrSmithRIC RT @LnDDave: A2) a fundamental problem is the lack of alignment between those that collect data and those that want to use it. #lrnchat
9:00 PM SimonBlairTrain @JD_Dillon @weisblatt Make sure they all mute themselves. 🙂 #lrnchat
9:00 PM DrSmithRIC RT @LnDDave: A2) it’s hard to learn from data when you don’t know how to interpret it. #lrnchat
9:00 PM 4KM @brunowinck Yes. And people get dogmatic about definitions rather than exploring them. #lrnchat
9:00 PM brunowinck @LnDDave @weisblatt true but if u presuppose what u want to learn you’re likely to only find confirmations, some agnostism applies #lrnchat
9:01 PM write2tg Hello everyone! TG from BC joining the chat now! #lrnchat
9:01 PM susangenden @sbruington Thanks!! Will do. You, too… #lrnchat
9:01 PM lrnchat Q4) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
9:02 PM 4KM @MrKMaston I’d lean toward qual data analysis software and a group of keeners to interpret, dig deeper, loop back etc. #lrnchat
9:02 PM brunowinck @4KM as someone who worked on AI I heard a lot of crap recently, like it will threaten knowledge workers job in short time #LrnChat
9:02 PM JD_Dillon @nikilustig Mysterious + Hidden 😜 but also the bulk of people who influence org learning – away from larger community convo #lrnchat
9:02 PM eLearninCyclops RT @lrnchat Q4) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
9:02 PM MrKMaston @lrnchat A4) Does activity come under performance, or vice versa? #lrnchat
9:02 PM write2tg RT @lrnchat Q4) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
9:02 PM brunowinck Hi Taruna, @write2tg we met somewhere recently #lrnchat
9:03 PM vidyakumar @brunowinck @LnDDave @weisblatt Call it confirmation bias. #lrnchat
9:03 PM SimonBlairTrain A4: Activity data is easy for us to collect. Getting performance data involves talking to the business. :-O #lrnchat
9:03 PM 4KM @MrKMaston Without doing that analysis, no way of knowing how it would help. Perhaps move us to twitterchat dialogue 3.0? #lrnchat
9:03 PM eLearninCyclops A4) Activity data is important to compliance auditors, but not many others. L&D needs more performance data #lrnchat
9:03 PM JD_Dillon A4) All data has potential to help derive meaning; performance data is ‘hard,’ less cut/dry #lrnchat https://t.co/KrNawuX0Cv
9:03 PM write2tg A4) Performance data is tough to collect. Activities are easier to track.
#lrnchat
9:03 PM theASIDEblog We always tell our students – check and verify data; nothing is the gospel truth. #lrnchat
9:04 PM write2tg @brunowinck It is nice to see you around 🙂 #lrnchat!
9:04 PM SimonBlairTrain RT @eLearninCyclops: A4) Activity data is important to compliance auditors, but not many others. L&D needs more performance data #lrnchat
9:04 PM 1tracycarroll Performance data would reveal too much. #lrnchat
9:04 PM 4KM A4 Share exs of what you were thinking about with this question? #lrnchat
9:04 PM 2be2learn A4 Activity data = butts in seats for conferences/training. What data measures learning, competency, value #lrnchat
9:04 PM sbruington Stepped away. Can’t find it. What was Q4?? #lrnchat
9:05 PM JD_Dillon A4) Deriving meaning/value from performance data requires partnership across org, can be uncomfortable #lrnchat https://t.co/KrNawuX0Cv
9:05 PM 4KM @brunowinck Sounds like a lack of understanding coupled with knee-jerk fear. #lrnchat
9:05 PM MrKMaston @lrnchat A4) Or rather, how indicative of performance data is activity data? #lrnchat
9:05 PM sbruington A4) Performance data is harder to come by?? #lrnchat
9:05 PM write2tg A4) Activity data can be useful too depending on what matters. Perhaps it is needed to check some boxes for compliance! #lrnchat
9:05 PM gabriellabroady A3. Gather data using flawed logic; talk 2 current EEs 2 determine new training program…but also say new skills needed in future #lrnchat
9:05 PM LnDDave Note: The laws of supply and demand don’t lie, so this isn’t a challenge of technology or vendor bias. #lrnchat
9:05 PM JD_Dillon RT @lrnchat: Q4) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
9:05 PM gabriellabroady RT @eLearninCyclops: RT @lrnchat Q4) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #…
9:06 PM gabriellabroady A4. CYA baby that’s why #lrnchat
9:06 PM vidyakumar A4) That’s what we’ve always done things around here. #lrnchat
9:06 PM 4KM A4 Couldn’t believe it 1st time an exec member answered my Q about what was important to measure with: “bums in seats” #lrnchat
9:06 PM kregerck @sbruington Q4) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
9:06 PM eLearninCyclops A4) I do want to see what interactions they had especially quiz data – What did they not learn… or was it taught well #lrnchat
9:07 PM JD_Dillon A4) Training activities “belong” to L&D, more easily understood/valued/shared vs performance (bigger, broader) #lrnchat
9:07 PM brunowinck A4 Not sure performance data is not collected, but possibly not in the same database and with a common key #lrnchat
9:07 PM jyoti__gupta #lrnchat – performance data can be political. even if u know someone doesn’t perform well, you still have to discover why. #lrnchat
9:07 PM vidyakumar A4) Seriously, activity data is easy to collect & measure… enough if you’re just trying to prove that your solution worked. #lrnchat
9:07 PM elearning Maybe learning orgs need the equivalent of GIS Software for Sports Analytics #lrnchat https://t.co/ZxbvhAk9Lm
9:07 PM gabriellabroady Takes longer to extrapolate factors for performance shifts…or didn’t take time to get baseline #lrnchat
9:07 PM write2tg A4) Performance data is impacted by diverse set of stakeholders/factors. It may be collected but not always consolidated. #lrnchat
9:08 PM LnDDave A4) Simple: we know how to track activity. Tracking actual performance isn’t as easy. #lrnchat
9:08 PM brunowinck Lol yes #Lrnchat https://t.co/tt35WkW6fm
9:08 PM theASIDEblog Data can be selective. We want our students know that before they decide the information is reliable. #lrnchat
9:08 PM vidyakumar A4) Performance data is difficult to collect, and it might point to flaws in the solution. Who wants that? #lrnchat
9:08 PM eLearninCyclops RT @gabriellabroady A4. CYA baby that’s why #lrnchat | Yup, Check the box compliance courses
9:08 PM 4KM I’m curious how others in #lrnchat think Q4 relates to ADDIE.
9:08 PM lrnchat Q5) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
9:08 PM JD_Dillon A4) Has org L&D firmly established real data collection/analysis/sharing as a core capability? #lrnchat
9:08 PM SimonBlairTrain @LnDDave And we typically can’t track performance without outside (of L&D) help. #lrnchat
9:08 PM Smithre5 #lrnchat Often the measurement isn’t quite fit for purpose. Sometimes, though, we need to be opportunistic with the data we have.
9:08 PM LnDDave @elearning first we’ll need to monetize learning the same way we monetize sports. 🙂 #lrnchat
9:08 PM write2tg RT @lrnchat: Q5) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
9:09 PM 2be2learn Performance data often requires qualitative interpretation of quantitative assessment #lrnchat
9:09 PM brunowinck “@jyoti__gupta and if it’s nominative it breaches privacy laws, which is a problem in many countries and some US States #LrnChat
9:09 PM elearning @LnDDave And each employee will need a performance analysis coach shadowing every movement #lrnchat
9:09 PM gabriellabroady To be clear, that was my snarky answer 😜 #lrnchat https://t.co/aIlKOq2Ggd
9:09 PM eLearninCyclops RT @lrnchat Q5) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
9:09 PM JD_Dillon A5) Going into collection/analysis looking to tell a specific story, twisting data to match desired outcome #lrnchat https://t.co/xWA6FYEZvl
9:09 PM 4KM Q5 Ahhh. Evil. Right up there with truth. I think I’ll watch this one for a while 🙂 #lrnchat
9:10 PM SimonBlairTrain @LnDDave @elearning Does that mean I might get a raise in line with David Beckham? 🙂 #lrnchat
9:10 PM gabriellabroady RT @eLearninCyclops: RT @lrnchat Q5) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for…
9:10 PM JD_Dillon A5) You can make the data say whatever you want if you cherry pick enough #lrnchat
9:10 PM SimonBlairTrain A5: In a word: spearfishing. #lrnchat
9:10 PM write2tg A5) Little knowledge is dangerous and so is the case with ‘bigger data’ without any depth. #lrnchat
9:11 PM gabriellabroady A5. Anything over used becomes a weakness–think about resume reading apps that miss the human & only see key words #lrnchat
9:11 PM MrKMaston @4KM Much? #lrnchat https://t.co/kfZKREkE5c
9:11 PM vidyakumar A5) Unless it comes with analytics, data can and will be used to confirm one’s own biases. #lrnchat
9:11 PM vidyakumar RT @JD_Dillon: A5) You can make the data say whatever you want if you cherry pick enough #lrnchat
9:11 PM brunowinck @write2tg yes if you ca tap in pay database,the CRM, the SAP and aggregate you will have the performance data , could be a lot work #LrnChat
9:12 PM 4KM A5 Again, I think of boundary judgements. E.g., data about wages in Asia leads to U.S. use of sweat shops in Bangladesh #lrnchat
9:12 PM gabriellabroady RT @vidyakumar: A5) Unless it comes with analytics, data can and will be used to confirm one’s own biases. #lrnchat
9:12 PM 2be2learn Risks of bigger data – security, privacy and many IT issues that L&D profs must learn more about #lrnchat
9:12 PM JD_Dillon A5) Tendency to use data to tell the story on its own rather than ask better questions #lrnchat
9:12 PM LnDDave A5) that’s the challenge with data – while data itself is neutral, the way it is interpreted rarely is. #lrnchat
9:12 PM jyoti__gupta a5) I see HUGE issues with using the WWW as the data that feeds AI intelligence. ensures that AI will be misogynistic. #lrnchat
9:12 PM brunowinck @write2tg I’m back on #Lrnchat with the summer 🙂
9:12 PM write2tg RT @LnDDave: A5) that’s the challenge with data – while data itself is neutral, the way it is interpreted rarely is. #lrnchat
9:12 PM PsyDocCindy RT @LnDDave: A2) a fundamental problem is the lack of alignment between those that collect data and those that want to use it. #lrnchat
9:12 PM theASIDEblog Data collection can influence results and analysis. We teach our learners to check sources and look for what’s left out. #lrnchat
9:12 PM NoMondaiNL RT @elearning: Maybe learning orgs need the equivalent of GIS Software for Sports Analytics #lrnchat https://t.co/ZxbvhAk9Lm
9:12 PM btopro RT @lrnchat: Q4) Why do we collect so much activity data but so little performance data? Is activity data meaningful? #lrnchat
9:13 PM 4KM RT @JD_Dillon: A5) You can make the data say whatever you want if you cherry pick enough #lrnchat
9:13 PM JD_Dillon A5) Potential to ignore context, gut feeling and over rely on data alone #lrnchat
9:13 PM JD_Dillon RT @LnDDave: A5) that’s the challenge with data – while data itself is neutral, the way it is interpreted rarely is. #lrnchat
9:13 PM gabriellabroady A5. Data can be elitist; gotta have bucks for fancy software & analysts to spin it #lrnchat
9:13 PM 2be2learn A5. Man/woman overboard in big data #lrnchat https://t.co/coaTgTI1tB
9:13 PM btopro A4) #lrnchat too much internet of things at hand; we’re tracking stuff for the sake of tracking
9:13 PM elearning Data may be neutral but it can enable those far, far from ground-level activities to make global decisions #lrnchat https://t.co/bqmGAfWCgK
9:13 PM MrKMaston @lrnchat A5) Is “bigger” data just the same data, except that we have more angle capability to scrutinize the data? #lrnchat
9:13 PM gabriellabroady RT @JD_Dillon: A5) Tendency to use data to tell the story on its own rather than ask better questions #lrnchat
9:13 PM kregerck RT @JD_Dillon: A5) You can make the data say whatever you want if you cherry pick enough #lrnchat
9:14 PM btopro RT @lrnchat: Q5) With the coming onslaught of more, “bigger” data, what are the risks? How have you seen data used for evil? #lrnchat
9:14 PM gabriellabroady RT @JD_Dillon: A5) Potential to ignore context, gut feeling and over rely on data alone #lrnchat
9:14 PM 4KM A5 Do we think most prisoners in Gitmo are there because of data or information? #lrnchat
9:14 PM MaximoDirect RT @elearning: Maybe learning orgs need the equivalent of GIS Software for Sports Analytics #lrnchat https://t.co/ZxbvhAk9Lm
9:14 PM brunowinck A5) I tend to think that since most of the data is ill design and useless, the risk of misuses a pretty limited , ex election pools #LrnChat
9:14 PM eLearninCyclops RT @gabriellabroady A5. Data can be elitist; gotta have bucks for fancy software & analysts to spin it #lrnchat
9:14 PM kregerck RT @gabriellabroady: A5. Data can be elitist; gotta have bucks for fancy software & analysts to spin it #lrnchat
9:14 PM SimonBlairTrain A5: In an #LSCon session, we talked about predictive analytics. Can be scary if predicting mistakes leads to disciplinary action. #lrnchat
9:14 PM brunowinck RT @2be2learn: A5. Man/woman overboard in big data #lrnchat https://t.co/coaTgTI1tB
9:14 PM btopro A5) #lrnchat is there a good use of Big data? Ad tracking on 90+ sites per visit, Drone strikes based on metadata? Uhh.. it’s only evil.
9:15 PM lrnchat Q6) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
9:15 PM LnDDave A5) I’ve seen plenty of org’s invest resources into data analysis only to ignore what comes out anyway. #lrnchat
9:15 PM MrKMaston @lrnchat A5) Or rather, that bigger data is just a case of previously seeing in black and white, but now seeing in colour? #lrnchat
9:15 PM eLearninCyclops A5) Population Health is benefiting from data. We could take cuesfrom them, but need cooperation btwn L&D depts #lrnchat
9:16 PM write2tg RT @lrnchat: Q6) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
9:16 PM eLearninCyclops RT @lrnchat Q6) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
9:16 PM theASIDEblog The Bigfoot Of Big Data – Educational Myth vs. Reality #lrnchat https://t.co/VjMQdThthF
9:16 PM gabriellabroady RT @lrnchat: Q6) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
9:16 PM btopro RT @lrnchat: Q6) Do we do a good job finding the stories that our data tell us? How can we be better at making data useful? #lrnchat
9:16 PM JD_Dillon A6) Step outside our teams and partner with people across org who are great w/ data #lrnchat https://t.co/k03Z9hkZZh
9:16 PM 4KM @btopro If corporate profits are always good, then perhaps there is almost no evil? #lrnchat
9:16 PM theASIDEblog Education In The Age Of Big Data #lrnchat https://t.co/98CCN8IDyN
9:17 PM gabriellabroady A6. Need good translators & less eye charts! #lrnchat
9:17 PM JD_Dillon A6) Be less beholden to models and identify the right data to collect/share for our org context #lrnchat https://t.co/k03Z9hkZZh
9:17 PM write2tg A6) Finding stories is about collaborating with the right people and not trying to make data ‘say’ what you want it to say #lrnchat
9:17 PM vidyakumar A6) Well we can take the time to analyse it and see what its really telling us, not just what we want to see. #lrnchat
9:17 PM eLearninCyclops @LnDDave “They can’t handle the truth” 😉 #lrnchat
9:17 PM SimonBlairTrain @LnDDave “We want data.” … “We want different data.” #lrnchat
9:17 PM 2be2learn A6 Use data visualization and infographics to tell and unbiased story #lrnchat
9:18 PM gabriellabroady A6. Look at data and say how would I explain this to a new person #lrnchat
9:18 PM RichardPPhelps RT @elearning: Data may be neutral but it can enable those far, far from ground-level activities to make global decisions #lrnchat https:/…
9:18 PM 4KM A6 I often wish we had bilingual data brokers: full-time, well paid translators between research and public #lrnchat
9:18 PM NoMondaiNL RT @elearning: Data may be neutral but it can enable those far, far from ground-level activities to make global decisions #lrnchat https:/…
9:18 PM 4KM @2be2learn Visualization reminds me of gov’t workers who were told to flip graph for newspaper so line went up #lrnchat
9:19 PM JD_Dillon A6) Don’t just share numbers. Add context. Tell the story … The REAL story … Focus on outcomes #lrnchat
9:19 PM Tracy_Parish I don’t know about that. Only unbiased if done well. Usually them seem to be done to prove a point/brand. #lrnchat https://t.co/ZKRnSYUysc
9:19 PM write2tg @MrKMaston Yes, group think is an issue too #lrnchat
9:19 PM gabriellabroady @4KM #lrnchat funny I used term ‘translator’ too. Great minds and all that…
9:19 PM btopro A6) #lrnchat sit back, comment less on it, draw a wider net, form a more complete opinion of the data, digest and blog thoughts
9:19 PM SimonBlairTrain @JaneBozarth The Data Whisperer #lrnchat
9:20 PM brunowinck RT @4KM: @2be2learn Visualization reminds me of gov’t workers who were told to flip graph for newspaper so line went up #lrnchat
9:20 PM SimonBlairTrain @JaneBozarth It takes a certain type of mind to find patterns in the chaos. #lrnchat
9:20 PM Tracy_Parish They often ignore it when it doesn’t help their cause. #lrnchat https://t.co/XZEznhPYhm
9:20 PM JD_Dillon A6) Use data to first ask better questions, don’t jump to conclusion #lrnchat
9:20 PM 4KM @gabriellabroady I missed that. Like the idea. #lrnchat
9:20 PM write2tg A6) Finding stories involves going in-depth and having a wide view of the data at the same time. #lrnchat
9:20 PM 2be2learn @Tracy_Parish yes, we can all try to emulate no bias in data reporting #marketing #lrnchat
9:21 PM write2tg RT @JD_Dillon: A6) Use data to first ask better questions, don’t jump to conclusion #lrnchat
9:21 PM brunowinck A6) Suddenly I realize I didn’t learn much from data recently unless it’s very focused, done quickly & to validate assumptions #LrnChat
9:21 PM LnDDave A6) Part of the problem is that we have this conversation as if we’re on our own in a world full of IT Departments. #lrnchat
9:21 PM Tracy_Parish @JaneBozarthis the ghost in the #lrnchat machine tonight for me. 😦
9:21 PM perrinia #lrnchat Dang y’all are an hour forward eh
9:21 PM gabriellabroady @SimonBlairTrain @JaneBozarth love patterns!but not on my clothes! 😉 #lrnchat
9:22 PM write2tg Sorry folks – came late and have to leave early. But I know I want to be here more often 🙂 Enjoy the rest of the chat! #lrnchat
9:22 PM lrnchat Q7) What is something that you learned tonight or will try? #lrnchat
9:22 PM Tracy_Parish We are and the sooner you all realize it the better. Muhahahaha #lrnchat https://t.co/wKruLEUkft
9:22 PM Tracy_Parish We are and the sooner you all realize it the better. Muhahahaha #lrnchat https://t.co/wKruLEUkft
9:22 PM LnDDave A6) We need to focus less on the numbers and more on the meaning behind the numbers. #lrnchat
9:22 PM perrinia will learn to move my reminder up in my calendar. riiiiiiiight now. #lrnchat
https://t.co/dxuSAPUyHB
9:22 PM SimonBlairTrain @JaneBozarth If it helps, I can narrate them in a fake British accent as a type. #lrnchat
9:22 PM MrKMaston @lrnchat A7) Data vs Information. And this whole hour of chat. Good thinkin’! #lrnchat
9:23 PM write2tg TG from Vancouver BC signing off. Catch my blog and my new post on Interdependence in Learning https://t.co/crGf9HSjmS #lrnchat
9:23 PM gabriellabroady RT @lrnchat: Q7) What is something that you learned tonight or will try? #lrnchat
9:23 PM 4KM @write2tg

Yes, data can be a great catalyst for dialogue. #lrnchat

9:23 PM brunowinck Good to know #TweetChat #Lrnchat https://t.co/LVyWyzmDke
9:23 PM LnDDave RT @lrnchat: Q7) What is something that you learned tonight or will try? #lrnchat
9:24 PM JD_Dillon A7) Seek out smart people regardless of field and ask how they leverage data to improve their performance #lrnchat https://t.co/gdI1zB1BPS
9:24 PM gabriellabroady A7. Data only good if used and only as good as the bias of the user #lrnchat
9:24 PM 2be2learn For better or worse, Data is your friend #lrnchat
9:24 PM eLearninCyclops A7) This is a reminder to focus less on completions and more on learning & how it is being applied. Also, data to ID needs #lrnchat
9:25 PM MrKMaston Goodbye, #lrnchat. A last word on Big Data, as expressed by Dilbert… https://t.co/AhrCB5mH0b
9:25 PM 4KM A7 I learned twitter is still doing that stupid thing where people’s names get the twitter icon and don’t show up in your tweet #lrnchat
9:25 PM SimonBlairTrain @perrinia I missed last week’s #lrnchat because my reminder is in my work e-mail and I was on vacation.
9:25 PM gabriellabroady RT @MrKMaston: Goodbye, #lrnchat. A last word on Big Data, as expressed by Dilbert… https://t.co/AhrCB5mH0b
9:25 PM vidyakumar A7) Seek out better data, not more, and seek out good translators (human / machine). #lrnchat
9:26 PM 4KM A7 I also learned the term data whisperer from Jane. Love it. #lrnchat
9:26 PM brunowinck A7 I’m not the only one to see a Connection between data and stories #Lrnchat
9:26 PM gabriellabroady RT @vidyakumar: A7) Seek out better data, not more, and seek out good translators (human / machine). #lrnchat
9:26 PM gabriellabroady RT @4KM: A7 I also learned the term data whisperer from Jane. Love it. #lrnchat
9:27 PM lrnchat QWrap. It’s that time again. Please re-introduce yourselves. Shameless plugs welcome #lrnchat
9:27 PM adaptivechat RT @JD_Dillon: A1) Data is raw – doesn’t have inherent meaning until analyzed/interpreted #lrnchat https://t.co/ar2DSW8p1T
9:27 PM JD_Dillon Just one more … #lrnchat https://t.co/xXbKNuseyA
9:27 PM adaptivechat RT @JD_Dillon: A1) Data + Context + Experience = Information #lrnchat https://t.co/Vdr3IgS79d
9:27 PM 4KM @brunowinck Stories live in the space between #AI and #KM? #lrnchat
9:27 PM btopro RT @lrnchat: QWrap. It’s that time again. Please re-introduce yourselves. Shameless plugs welcome #lrnchat
9:27 PM jyoti__gupta awrap) Stay safe and warm. Latest blog: How to Teach Decision-Making: https://t.co/91y2S3bFlb #lrnchat
9:28 PM vanessaAnorth .@lrnchat #lrnchat missed it! oh well, there is always next time
9:28 PM gabriellabroady RT @lrnchat: QWrap. It’s that time again. Please re-introduce yourselves. Shameless plugs welcome #lrnchat
9:28 PM JD_Dillon Thanks as always #lrnchat! Hope to cya at #ATD2016. Til then https://t.co/8xKUK5eqMk + https://t.co/pbUEYUHS6u https://t.co/b5F2KqegPr
9:29 PM eLearninCyclops QWrap) Jeff Goldman – elearning Designer in Baltimore. Thx for another great #lrnchat
9:29 PM audioswhite Sorry I missed #lrnchat tonight. So much buzz around “data”. Careful – rabbit hole. Manage for mission, not metrics! https://t.co/yr0jMDGYPh
9:30 PM btopro QWrap #lrnchat Bryan Ollendyke @elmsln lead developer an #edtech platform for sustainable innovation #ngdle
9:30 PM lrnchat Thanks everyone for joining #lrnchat tonight. See you next week! Look for weekly transcripts at https://t.co/ijNIXq164N
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