Instagram positioned itself as the
third most popular social media app and the best social media app of 2016.
Twitter saw a decrease in users over the past year and even death of their beloved 6-second video-clip sharing app, Vine.
In an article entitled ‘Why Vine Died,’ Casey Newman reported the following, “Former executives say that a major competitive challenged emerged in the form of Instagram, which introduced 15-second video clips in June 2013.
Instagram remained stable with the introduction of new features like stories and video channels, resources of it’s parent company, Facebook, and the introduction of ads to the platform that look very similar to the posts in a user’s feed.
In addition to a total logo redesign, Instagram shifted its focus from just pictures, to longer video (from 15 sec. to one minute) and direct messaging features, such as group posts and disappearing video. Explore Channels in Discover let people discover new photo and video content based on interests. Instagram Stories added a new element to the Instagram experience showing highlights from friends, celebrities and businesses one follows without interfering with their feed. Instagram also caters to business needs through its Instagram for Business platform that allows for instant contact, detailed analytics and easy-to-follow linked content.
Most recently, Instagram released live video in their stories feature. Users can start a live stream in their Instagram story and view comments and feedback from their viewers in real time! This feature is similar to apps like musical.ly and live.ly which has over 80 million users and 62% of its users are under 21.
#StudentVoices #MillennialMondays #WhatToWatch
#MillennialMondays is a new series that aims to discuss relevant topics on careers and business from a millennial perspective.
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more on instagram in this IMS blog
https://blog.stcloudstate.edu/ims?s=instagram
Compensation for creation of online courses
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I absolutely echo Kimber’s notion that a team approach to course development can actually take longer, even when one of the team members is an instructional designer. Perhaps because faculty members are used to controlling all aspects of their course development and delivery, the division of labor concept may feel too foreign to them. An issue that is similar in nature and referred to as ‘unbundling the faculty role’ is discussed at length in the development of competency-based education (CBE) courses and it is not typically a concept that faculty embrace.
Robin
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I will also confirm that the team approach to course development can take longer. Indeed it does in my experience. It requires much more “back and forth”, negotiating of who is doing what, ensuring that the overall approach is congruent, etc. That’s not to say that it’s not a worthwhile endeavor in some cases where it makes pedagogical sense (in our case we are designing courses for 18-22 year-old campus-based learners and 22+ year-old fully online learners at the same time), but if time/cost savings is the goal, you will be sorely disappointed, in my experience. The “divide and conquer” approach requires a LOT of coordination and oversight. Without that you will likely have a cobbled together, hodgepodge of a course that doesn’t meet expectations.
Best, Carine Director, Office of Instructional Design & Academic Technology Ottawa University 1001 S. Cedar St. * Ottawa, KS 66067 carine.ullom@ottawa.edu * 785-248-2510
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Breaking up a course and coming up with a cohesive design and approach, could make the design process longer. At SSC, we generally work with our faculty over the course of a semester for each course. When we’ve worked with teams, we have not seen a shortened timeline.
The length of time it takes to develop a course depends on the content. Are there videos? If so, they have to be created, which is time-consuming, plus they either need to have a transcript created or they need subtitles. Both of those can be time-consuming. PowerPoint slides take time, plus, they need more content to make them relevant. We are working with our faculty to use the Universal Design for Learning model, which means we’re challenging them to create the content to benefit the most learners
I have a very small team whose sole focus is course design and it takes us 3-4 weeks to design a course and it’s our full-time job!
Linda
Linda C. Morosko, MA Director, eStarkState Division of Student Success 330-494-6170 ext. 4973 lmorosko@starkstate.edu
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Kelvin, we also use the 8-week development cycle, but do occasionally have to lengthen that cycle for particularly complex courses or in rare cases when the SME has had medical emergencies or other major life disruptions. I would be surprised if multiple faculty working on a course could develop it any more quickly than a single faculty member, though, because of the additional time required for them to agree and the dispersed sense of responsibility. Interesting idea.
-Kimber
Dr. Kimberly D. Barnett Gibson, Assistant Vice President for Academic Affairs and Online Learning Our Lady of the Lake University 411 SW 24th Street San Antonio, TX 78207 Kgibson@ollusa.edu 210.431.5574 BlackBoard IM kimberly.gibson https://www.pinterest.com/drkdbgavpol/ @drkimberTweets
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Hello everyone. As a follow-up to the current thread, how long do you typically give hey course developer to develop a master course for your institution? We currently use an eight week model but some faculty have indicated that that is not enough time for them although we have teams of 2 to 4 faculty developing such content. Our current assumption is that with teams, there can be divisions of labor that can reduce the total amount time needed during the course development process.
Kelvin Bentley, PhD Vice President of Academic Affairs, TCC Connect Campus Tarrant County College District
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At Berkeley College, full-time faculty may develop online courses in conjunction with an instructional designer. The course is used as a master template for other sections to be assigned from. Once the course has been scheduled and taught, the faculty member receives a stipend. The faculty member would receive their normal pay to teach the developed course as part of their semester course load, with no additional royalties assigned for it or any additional sections that may be provided to students.
Regards, Gina Gina Okun Assistant Dean, Online Berkeley College 64 East Midland Avenue, Suite 2, Paramus, NJ 07652 (973)405-2111 x6309 gina-okun@berkeleycollege.edu
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We operate with nearly all adjunct faculty where >70% of enrollment credits are onlinez
With one exception that I can recall, the development contract includes the college’s outright ownership, with no royalty rights. One of the issues with a royalty based arrangement would be what to do when the course is revised (which happens nearly every term, to one degree or another). At what point does the course begin to take on the character of another person’s input?
What do you do if the course is adapted for a shorter summer term, or a between-term intensive? What if new media tools or a different LMS are used? Is the royalty arrangement based on the syllabus or the course content itself? What happens if the textbook goes out of print, or an Open resource becomes available? What happens if students evaluate the course poorly?
I’m not in position to set this policy — I’m only reporting it. I like the idea of a royalty arrangement but it seems like it could get pretty messy. It isn’t as if you are licensing a song or an image where the original product doesn’t change. Courses, the modes of delivery, and the means of communication change all the time. Seems like it would be hard to define what constitutes “the course” after a certain amount of time.
Steve Covello Rich Media Specialist/Instructional Designer/Online Instructor Chalk & Wire e-Portfolio Administrator Granite State College 603-513-1346 Video chat: https://appear.in/id.team Scheduling: http://meetme.so/stevecovello
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I’ve worked with many institutions that have used Subject Matter Experts (SMEs) to develop or provide the online course content. Most often, the institutions also provide a resource in the form of an Instructional Designer (ID) to take the content and create the actual course environment.
The SME is paid on a contract basis for provision of the content. This is a one-time payment, and the institution then owns the course content (other than integrated published materials such as text books, licensed online lab products, etc.). The SME may be an existing faculty member at the institution or not, or the SME may go on to teach the course at the institution. In any event, whoever teaches the course would be paid the standard faculty rate for the course. If the course requires revisions to the extent that a person will need to be engaged for content updates, then that can be a negotiated contract. Typically it is some fraction of the original development cost. No royalties are involved.
Hap Aziz, Ed.D. @digitalhap http:hapaziz.wordpress.com
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Within SUNY, there is some variance regarding whether a stipend is paid for development or not. In either case, since we are unionized there is policy regarding IP. IP resides with the faculty developer unless both parties agree in writing in the form of a contract to assign or share rights.
Policy statement: http://uupinfo.org/reports/reportpdf/IntellectualPropertyUpdated2016.pdf
Thank you for your feedback on this issue. Our institution does does not provide a royalty as we consider course development as a fee-for-service arrangement. We pay teams of 2-4 faculty $1000 each to develop master course shells for our high-enrollment courses. Instead of a royalty fee, I think an institution can simply provide course developers the perk of first right of refusal to teach the course when it offered as well as providing course developers with the first option to make revisions to the course shell over time.
Kelvin
Kelvin Bentley, Ph.D. Vice President of Academic Affairs, TCC Connect Campus Tarrant County College District
Once upon a time, and several positions ago, we set up a google doc for capturing all kinds of data points across institutions, like this. I’m sure it’s far out of date, but may still have some ideas or info in there – and could possibly be dusted off and oiled up for re-use… I present the Blend-Online Data Collector. This tab is for course development payment.
Kind regards,
Clark
Clark Shah-Nelson
Assistant Dean, Instructional Design and Technology
University of Maryland School of Social Work—Twitter … LinkedIn —voice/SMS: (646) 535-7272fax: 270.514.0112
Hi Jenn,
Just want to clarify…you say faculty “sign over all intellectual property rights of the course to the college.” but later in the email say “Faculty own all intellectual property and can take it with them to teach at another institution”, so is your policy changing to the former? Or, is it the later and that is what you are asking about?
I’ll send details on our policy directly to your email account.
Best,
Ellen
On Tue, Dec 6, 2016 at 9:43 AM, Jennifer Stevens <jennifer_stevens@emerson.edu> wrote:
Hello all,
I am tasked with finding out what the going rate is for the following model:
We pay an adjunct faculty member (“teaching faculty”) a set amount in order to develop an online course and sign over all intellectual property rights of the course to the college.
Is anyone doing this? I’ve heard of models that include royalties, but I personally don’t know of any that offer straight payment for IP. I know this can be a touchy subject, so feel free to respond directly to me and I will return and post a range of payment rates with no other identifying data.
For some comparison, we are currently paying full time faculty a $5000 stipend to spend a semester developing their very first online class, and then they get paid to teach the class. Subsequent online class developments are unpaid. Emerson owns the course description and course shell and is allowed to show the course to future faculty who will teach the online course. Faculty own all intellectual property and can take it with them to teach at another institution. More info: http://www.emerson.edu/itg/online-emerson/frequently-asked-questions
I asked this on another list, but wanted to get Blend_Online’s opinion as well. Thanks for any pointers!
Jenn Stevens
Director | Instructional Technology Group | 403A Walker Building | Emerson College | 120 Boylston St | Boston MA 02116 | (617) 824-3093
Ellen M. Murphy
Director of Program Development
Graduate Professional Studies
Brandeis University Rabb School
781-736-8737
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more on compensation for online courses in this IMS blog:
https://blog.stcloudstate.edu/ims?s=online+compensation
LinkedIn CEO: Skills, not degrees, matter most in job market
Nov. 17, 2016 Jarrett Carter
http://www.educationdive.com/news/linkedin-ceo-skills-not-degrees-matter-most-in-job-market/430651/
My note: naturally, the LinkedIn CEO will make such claim, since it is good for his business. Please take a look at this Chronicle of Higher Ed posting:
university presidents about the university future
Namely,
When it comes to getting students ready for the job market, presidents are not always in agreement with employers and parents on what role the institution should play in the process.
presidents are more divided about whether colleges should provide a broad education or specific training, and one- third of them don’t want to be held accountable for the career outcomes of their students
The LinkedIn CIO claims that:
The notion that an entrepreneur who built his career upon a professional network is now saying that skill level is what matters most in a job search should be a sign to colleges and universities that the era of college as a search for personal discovery is rapidly coming to an end.
Colleges must develop stronger training programs, similar to approaches used in applied science for lab and research exposure, to bolster career readiness in the liberal arts and social sciences. Without it, businesses will soon realize that they can develop these learning outlets on their own, in benefit of their own bottom lines.
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more on LInkedIn in this IMS blog:
https://blog.stcloudstate.edu/ims?s=linkedin
Plagiarism: Past, Present, and Future
https://www.linkedin.com/pulse/plagiarism-past-present-future-josh-howell
The proper solution to plagiarism in our nation’s schools is education and vigilance. Students should understand the role of academic integrity inside their own work, and be held accountable when they are not in accordance with academic policies and honor codes. Self-plagiarism, incorrect citations, no citations, or even word for word copying must be taught to students on a regular basis. Updates to both MLA and APA are ongoing as well; therefor, even graduates must stay current with how their citation methods change overtime.
My response to this LInkedIn entry:
Here is most of the information, I have collected on plagiarism, academic integrity, academic dishonesty. I added also Joshe’s opinion LinkedIn entry:
https://blog.stcloudstate.edu/ims?s=plagiarism
My firm conviction through the years is that for-profit such as TurnitIn are a smoke-screen, opportunists, which are trying to bank on lack of organized approach toward educating students and ourselves about the increasing nebulous areas of plagiarism (due to the increasing digitization of our work). It is in their interest to use scare tactics and try to convince us that computerization is the answer. Anyone, who had proofread papers for more than two semesters can detect easily the change of style, the lack of punctuation and other little, but significant details in the writing process. Since, the instructor has to read the paper for content anyhow, it is just preposterous to seek multiple-thousand dollars software license to replace the instructor.
The literature shows that the predominant percentage of students committing plagiarism is doing it due to lack of proper explanation and education. I that sense, I support Josh’s choice of words: education and vigilance. My only addition is that the vigilance must be human based, not machine-based. Higher admin shouldn’t squander finances in purchasing more licenses and cutting faculty positions, but invest in well-rounded and capable faculty.
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more on plagiarism in this IMS blog:
https://blog.stcloudstate.edu/ims?s=plagiarism
http://www.rubedo.com.br/2016/08/38-great-resources-for-learning-data.html
Learn data mining languages: R, Python and SQL
W3Schools – Fantastic set of interactive tutorials for learning different languages. Their SQL tutorial is second to none. You’ll learn how to manipulate data in MySQL, SQL Server, Access, Oracle, Sybase, DB2 and other database systems.
Treasure Data – The best way to learn is to work towards a goal. That’s what this helpful blog series is all about. You’ll learn SQL from scratch by following along with a simple, but common, data analysis scenario.
10 Queries – This course is recommended for the intermediate SQL-er who wants to brush up on his/her skills. It’s a series of 10 challenges coupled with forums and external videos to help you improve your SQL knowledge and understanding of the underlying principles.
TryR – Created by Code School, this interactive online tutorial system is designed to step you through R for statistics and data modeling. As you work through their seven modules, you’ll earn badges to track your progress helping you to stay on track.
Leada – If you’re a complete R novice, try Lead’s introduction to R. In their 1 hour 30 min course, they’ll cover installation, basic usage, common functions, data structures, and data types. They’ll even set you up with your own development environment in RStudio.
Advanced R – Once you’ve mastered the basics of R, bookmark this page. It’s a fantastically comprehensive style guide to using R. We should all strive to write beautiful code, and this resource (based on Google’s R style guide) is your key to that ideal.
Swirl – Learn R in R – a radical idea certainly. But that’s exactly what Swirl does. They’ll interactively teach you how to program in R and do some basic data science at your own pace. Right in the R console.
Python for beginners – The Python website actually has a pretty comprehensive and easy-to-follow set of tutorials. You can learn everything from installation to complex analyzes. It also gives you access to the Python community, who will be happy to answer your questions.
PythonSpot – A complete list of Python tutorials to take you from zero to Python hero. There are tutorials for beginners, intermediate and advanced learners.
Read all about it: data mining books
Data Jujitsu: The Art of Turning Data into Product – This free book by DJ Patil gives you a brief introduction to the complexity of data problems and how to approach them. He gives nice, understandable examples that cover the most important thought processes of data mining. It’s a great book for beginners but still interesting to the data mining expert. Plus, it’s free!
Data Mining: Concepts and Techniques – The third (and most recent) edition will give you an understanding of the theory and practice of discovering patterns in large data sets. Each chapter is a stand-alone guide to a particular topic, making it a good resource if you’re not into reading in sequence or you want to know about a particular topic.
Mining of Massive Datasets – Based on the Stanford Computer Science course, this book is often sighted by data scientists as one of the most helpful resources around. It’s designed at the undergraduate level with no formal prerequisites. It’s the next best thing to actually going to Stanford!
Hadoop: The Definitive Guide – As a data scientist, you will undoubtedly be asked about Hadoop. So you’d better know how it works. This comprehensive guide will teach you how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. Make sure you get the most recent addition to keep up with this fast-changing service.
Online learning: data mining webinars and courses
DataCamp – Learn data mining from the comfort of your home with DataCamp’s online courses. They have free courses on R, Statistics, Data Manipulation, Dynamic Reporting, Large Data Sets and much more.
Coursera – Coursera brings you all the best University courses straight to your computer. Their online classes will teach you the fundamentals of interpreting data, performing analyzes and communicating insights. They have topics for beginners and advanced learners in Data Analysis, Machine Learning, Probability and Statistics and more.
Udemy – With a range of free and pay for data mining courses, you’re sure to find something you like on Udemy no matter your level. There are 395 in the area of data mining! All their courses are uploaded by other Udemy users meaning quality can fluctuate so make sure you read the reviews.
CodeSchool – These courses are handily organized into “Paths” based on the technology you want to learn. You can do everything from build a foundation in Git to take control of a data layer in SQL. Their engaging online videos will take you step-by-step through each lesson and their challenges will let you practice what you’ve learned in a controlled environment.
Udacity – Master a new skill or programming language with Udacity’s unique series of online courses and projects. Each class is developed by a Silicon Valley tech giant, so you know what your learning will be directly applicable to the real world.
Treehouse – Learn from experts in web design, coding, business and more. The video tutorials from Treehouse will teach you the basics and their quizzes and coding challenges will ensure the information sticks. And their UI is pretty easy on the eyes.
Learn from the best: top data miners to follow
John Foreman – Chief Data Scientist at MailChimp and author of Data Smart, John is worth a follow for his witty yet poignant tweets on data science.
DJ Patil – Author and Chief Data Scientist at The White House OSTP, DJ tweets everything you’ve ever wanted to know about data in politics.
Nate Silver – He’s Editor-in-Chief of FiveThirtyEight, a blog that uses data to analyze news stories in Politics, Sports, and Current Events.
Andrew Ng – As the Chief Data Scientist at Baidu, Andrew is responsible for some of the most groundbreaking developments in Machine Learning and Data Science.
Bernard Marr – He might know pretty much everything there is to know about Big Data.
Gregory Piatetsky – He’s the author of popular data science blog
KDNuggets, the leading newsletter on data mining and knowledge discovery.
Christian Rudder – As the Co-founder of OKCupid, Christian has access to one of the most unique datasets on the planet and he uses it to give fascinating insight into human nature, love, and relationships
Dean Abbott – He’s contributed to a number of data blogs and authored his own book on Applied Predictive Analytics. At the moment, Dean is Chief Data Scientist at
SmarterHQ.
Practice what you’ve learned: data mining competitions
Kaggle – This is the ultimate data mining competition. The world’s biggest corporations offer big prizes for solving their toughest data problems.
Stack Overflow – The best way to learn is to teach. Stackoverflow offers the perfect forum for you to prove your data mining know-how by answering fellow enthusiast’s questions.
TunedIT – With a live leaderboard and interactive participation, TunedIT offers a great platform to flex your data mining muscles.
DrivenData – You can find a number of nonprofit data mining challenges on DataDriven. All of your mining efforts will go towards a good cause.
Quora – Another great site to answer questions on just about everything. There are plenty of curious data lovers on there asking for help with data mining and data science.
Meet your fellow data miner: social networks, groups and meetups
Facebook – As with many social media platforms, Facebook is a great place to meet and interact with people who have similar interests. There are a number of very active data mining groups you can join.
LinkedIn – If you’re looking for data mining experts in a particular field, look no further than LinkedIn. There are hundreds of data mining groups ranging from the generic to the hyper-specific. In short, there’s sure to be something for everyone.
Meetup – Want to meet your fellow data miners in person? Attend a meetup! Just search for data mining in your city and you’re sure to find an awesome group near you.
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8 fantastic examples of data storytelling
https://www.import.io/post/8-fantastic-examples-of-data-storytelling/
Data storytelling is the realization of great data visualization. We’re seeing data that’s been analyzed well and presented in a way that someone who’s never even heard of data science can get it.
Google’s Cole Nussbaumer provides a friendly reminder of what data storytelling actually is, it’s straightforward, strategic, elegant, and simple.
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more on text and data mining in this IMS blog
hthttps://blog.stcloudstate.edu/ims?s=data+mining
Students, teachers, and organizations will join together online to celebrate and demonstrate global collaboration on September 15, 2016. On Global Collaboration Day, educators and professionals from around the world will host connective projects and events and invite public participation. This event is brought to you by VIF International Education, Google for Education, iEARN-USA and Edmodo.
The primary goals of this 24-hour, worldwide event are to:
- demonstrate the power of global connectivity in classrooms, schools, institutions of informal learning and universities around the world
- introduce others to the collaborative tools, resources and projects that are available to educators today
- to focus attention on the need for developing globally competent students and teachers throughout the world
Global Collaboration Day will take place on September 15 in participant time zones. Classrooms, schools, and organizations will design and host engaging online activities for others to join. Events will range from mystery location calls to professional development events to interviews with experts. All events will be collated in an online calendar viewable in participants’ individual time zones. Participants will be connected on Twitter via the hashtag #globaled16.
An optional new activity this year will be the Great Global Project Challenge. Between now and October 1, 2016, global educators will design collaborative projects using a variety of platforms in which other students and teachers may participate during the course of the 2016-2017 school year. The objective is to create and present as many globally connective projects for students and educators as possible. The final deadline for submissions into our project directory is October 1, but participants are also encouraged to do an introductory activity for their project on Global Collaboration Day as well.
Global Collaboration Day is a project of the Global Education Conference Network, a free online virtual conference that takes place every November during International Education Week. GCD, along with Global Education Day at ISTE and Global Leadership Week, are events designed to connect educators and keep global conversations going year round.
For more information about Global Collaboration Day, please visit our main web site. A digital flyer is also available for distribution.
Follow us on social media:
Help us spread the word. Here are some sample Tweets:
- Join us for Global Collaboration Day! Details here: http://bit.ly/2016GCD #globaled16
- YOUR ORG’S TWITTER HANDLE is pleased to partner with @GlobalEdCon and educators around the globe for Global Collaboration Day: http://bit.ly/2016GCD
- Are you an education leader? Inspire global collaboration on Global Collaboration Day 9/15. http://bit.ly/2016GCD #globaled16
- Learn more about participating in the Global Collaboration Day celebration: http://bit.ly/2016GCD #globaled16
- Project hosts are sought for Global Collaboration Day. Details here: http://bit.ly/2016GCD #globaled16
Logos and Badges for Participants, Hosts, Partners and Sponsors are located here: http://bit.ly/gcdimages
Interested in serving as an outreach partner?
Send an email to Lucy Gray (lucy@globaledevents.com) indicating your interest. Include information on how you can help us get the word out to networks with 5000 members or more.