Techniques for Unleashing Student Work from Learning Management Systems
http://ww2.kqed.org/mindshift/2015/02/13/techniques-for-unleashing-student-work-from-learning-management-systems/
the fundamental problem is that learning management systems are ultimately about serving the needs of institutions, not individual students.
In his manifesto on Connectivism, George Siemens writes that in Connectivist learning environments, the “pipes” of a course are more important than what flows through those pipes. The networks that students build are durable structures of lifelong learning, and they are more important
by having students own their learning spaces and democratize the means of production. Rather than forcing students to log in to an institutional LMS, I asked them to create their own websites, blogs, Twitter accounts and spaces on the open Web. In these spaces, students could curate links and connections and share their evolving ideas. Whatever they create is owned and maintained by them, not by me or by Harvard. They can keep their content for three months, three years, or the rest of their lives, so long as they continue to curate and move their published content as platforms change.
so, it is back what i claimed at the turn of the century: LMS were claimed to be invented to make the instructor’s life “easier”: instead of learning HTML, use LMS. My argument was that by the time one learns the interface of WebCT, one can learn HTML and HTML will be remain for the rest of their professional life, whereas WebCT got replaced by D2L and D2L will be replaced by another interface. I was labeled as “D2L hater” for such an opinion.
Now to the argument that LMS was a waste of instructors’ time, is added the new argument that it is also a waste of students’ time.
The way that Connected Courses deal with this challenge is by aggregation, sometimes also called syndication. All of the content produced on student blogs, websites, Twitter accounts and other social media accounts is syndicated to a single website. On the Flow page, every piece of content created by students, myself and teaching staff was aggregated into one place. We also had Blog and Twitter Hubs that displayed only long-form writing from blogs or microposts from Twitter. A Spotlight page highlighted some of the best writings from students.
This online learning environment had three important advantages. First, students owned their means of production. They weren’t writing in discussion forums in order to get 2 points for posting to the weekly prompt. They wrote to communicate with audiences within the class and beyond. Second, everyone’s thinking could be found in the same place, by looking at hashtags and our syndication engines on t509massive.org. Finally, this design allows our learning to be permeable to the outside world. Students could write for audiences they cared about: fellow librarians or English teachers or education technologists working in developing countries. And as our networks grew, colleagues form outside our classroom could share with us, by posting links or thoughts to the #t509massive hashtag.
M W F at 9am in SH 303. My class is GEOG 361: Tourism Transportation. Instructor Stacey Olson
how/where can you find us: http://scsu.mn/TechInstruct
Consider requesting an instruciton session http://web.stcloudstate.edu/pmiltenoff/info/
Kahoot quiz at the end: https://kahoot.it/#/
https://docs.google.com/document/d/1gpnBk57b8b5MDLAbSgklkRAS6pVM2qljW3v4qYr1wdM/edit?usp=sharing
http://bit.ly/inforgraphicCOLL150
Plan:
* why do I need to know this: it is a trending quick and effective way to visualize numbers (stats)
* what is my assignment: create a MEANINGFUL infographic
* how I will be evaluated: assess the infographic and your strategy to make it public
– why infographics matter. Why is it more then just another alternative to PowerPoint
– what is an infographic: a portmanteau of information + graphic
– what are the cloud-based tools: Pictochart, Easilly and Infogram
– why are stats so important for infographics
– where are the stats to be found for the infographics
– how much stats and math needs one to know, to create a meaningful infographic
– how can infographics be promoted effectively, inexpensively and quickly
[technology] MnSCU Special Interest Group – New October Webinar – Leveraging MnSCU MediaSpace Through Integration With Cloud-based Lecture Capture
Join us next Tuesday, October 27th from 12:00 PM to 1:00 PM, for a special SIG Series webinar: Leveraging MnSCU MediaSpace Through Integration With Cloud-based Lecture Capture
Are you looking for a more affordable and sustainable way to capture classroom lectures? Or perhaps that is not even an option due to the on-going costs. Riverland recently replaced its Echo360 system by paring AV-to-IP encoders/decoders with a centrally located array of capture devices, which are integrated with MnSCU MediaSpace. This eliminates the need for a dedicated capture device in each room, as well as the on-going licensing costs of proprietary lecture capture systems. Join us as J.C. Turner shows us how the system works and how you can add this to your campus.
J.C. Turner, Ph.D., is the Director of Instructional Technology and Intellectual Property at Riverland Community College. He has more than 25 years of experience in higher ed, including 15 years of university teaching experience at the graduate and undergraduate levels in electronic media, information and telecommunications, video production, and multimedia authoring. He oversees the library and Office of Instructional Technology, and serves as Riverland’s intellectual property officer and Quality Matters coordinator.
Register for the webinar at http://www.eventbrite.com/o/minnesota-online-quality-initiative-7290950883. Please forward this invitation to others on your campus who might be interested.
Signal-Scrambling Tech ‘Freezes’ Drones in Midair
http://news.yahoo.com/signal-scrambling-tech-freezes-drones-midair-144743892.html
A new device that can detect, target and deter commercial drones could be used to keep the flying robots away from areas where they’re not wanted, like government properties, airports or your own backyard.
The new anti-drone system has been tested in the United Kingdom, the United States and France, according to the BBC. But there’s no word yet on when or where this drone-freezing technology could be used in these countries.
Center for Digital Education (CDE)
real-time impact on curriculum structure, instruction delivery and student learning, permitting change and improvement. It can also provide insight into important trends that affect present and future resource needs.
Big Data: Traditionally described as high-volume, high-velocity and high-variety information.
Learning or Data Analytics: The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.
Educational Data Mining: The techniques, tools and research designed for automatically extracting meaning from large repositories of data generated by or related to people’s learning activities in educational settings.
Predictive Analytics: Algorithms that help analysts predict behavior or events based on data.
Predictive Modeling: The process of creating, testing and validating a model to best predict the probability of an outcome.
Data analytics, or the measurement, collection, analysis and reporting of data, is driving decisionmaking in many institutions. However, because of the unique nature of each district’s or college’s data needs, many are building their own solutions.
For example, in 2014 the nonprofit company inBloom, Inc., backed by $100 million from the Gates Foundation and the Carnegie Foundation for the Advancement of Teaching, closed its doors amid controversy regarding its plan to store, clean and aggregate a range of student information for states and districts and then make the data available to district-approved third parties to develop tools and dashboards so the data could be used by classroom educators.22
Tips for Student Data Privacy
Know the Laws and Regulations
There are many regulations on the books intended to protect student privacy and safety: the Family Educational Rights and Privacy Act (FERPA), the Protection of Pupil Rights Amendment (PPRA), the Children’s Internet Protection Act (CIPA), the Children’s Online Privacy Protection Act (COPPA) and the Health Insurance Portability and Accountability Act (HIPAA)
— as well as state, district and community laws. Because technology changes so rapidly, it is unlikely laws and regulations will keep pace with new data protection needs. Establish a committee to ascertain your institution’s level of understanding of and compliance with these laws, along with additional safeguard measures.
Make a Checklist Your institution’s privacy policies should cover security, user safety, communications, social media, access, identification rules, and intrusion detection and prevention.
Include Experts
To nail down compliance and stave off liability issues, consider tapping those who protect privacy for a living, such as your school attorney, IT professionals and security assessment vendors. Let them review your campus or district technologies as well as devices brought to campus by students, staff and instructors. Finally, a review of your privacy and security policies, terms of use and contract language is a good idea.
Communicate, Communicate, Communicate
Students, staff, faculty and parents all need to know their rights and responsibilities regarding data privacy. Convey your technology plans, policies and requirements and then assess and re-communicate those throughout each year.
“Anything-as-a-Service” or “X-as-a-Service” solutions can help K-12 and higher education institutions cope with big data by offering storage, analytics capabilities and more. These include:
• Infrastructure-as-a-Service (IaaS): Providers offer cloud-based storage, similar to a campus storage area network (SAN)
• Platform-as-a-Service (PaaS): Opens up application platforms — as opposed to the applications themselves — so others can build their own applications
using underlying operating systems, data models and databases; pre-built application components and interfaces
• Software-as-a-Service (SaaS): The hosting of applications in the cloud
• Big-Data-as-a-Service (BDaaS): Mix all the above together, upscale the amount of data involved by an enormous amount and you’ve got BDaaS
Suggestions:
Use accurate data correctly
Define goals and develop metrics
Eliminate silos, integrate data
Remember, intelligence is the goal
Maintain a robust, supportive enterprise infrastructure.
Prioritize student privacy
Develop bullet-proof data governance guidelines
Create a culture of collaboration and sharing, not compliance.
more on big data in this IMS blog:
https://blog.stcloudstate.edu/ims/?s=big+data&submit=Search