Educators seeking new technology can start by consulting a database of pre-vetted edtech tools, rated based on alignment with both child data privacy laws and the district’s instructional vision. Each entry includes notes about what the software does, how it can be used in the classroom, and the appropriate age level. Kaye is also working on aligning the database to the ISTE Standards so teachers can see at a glance which standards each tool can help them meet.
Every app falls into one of four categories:
Tools the district approves, supports, pays for, and will train teachers to use.
Tools that are approved and can be freely used on an independent basis.
Tools that are approved with stipulations, such as age or parental permission requirements.
Tools that are not approved because they don’t align with the district’s vision or data privacy needs.
Teachers can request to have a tool vetted
Teachers who choose a pre-vetted app from the approved list can start using it right away, without any further action needed. Educators who have a specific tool in mind that hasn’t yet been vetted can submit a request form that asks questions such as:
How does the tool connect to the curriculum?
Will students be consumers or producers when using it?
How easy is it to learn and use?
What are some of the things they plan on doing with it?
Session 2: The Digital Age: The Impact and Future Possibilities Offered by Data and Technology
Thank you for registering to participate in the second Reimagining Minnesota State forum. The Forums have been designed to spark not only individual reflection but what we hope can serve as catalysts for discussions in a variety of venues. The Forum will be recorded and available for viewing on the Reimagining website.
Below are the directions whether you are attending in person or by live stream.
Catherine Haslag: Is there any research to show students retention in an online class vs a face-to-face course?
the challenge is not collecting, but integrating, using data.
silos = cylinder of excellence.
technology innovation around advising. iPASS resources.
adaptive learning systems – how students advance through the learning process.
games and simulations Bryan Mark Gill. voice recognition,
next 3 to 5 years AR. by 2023 40% with AR and VR
AI around the controversial. Chatbot and Voice assistants.
Unizin: 13 founding members to develop platform, Canvas, instructional services, data for predictive analytic, consistent data standard among institutions,
University innovation Alliance. Analytics as the linchpin for students’ success. graduation rates increase. racial gap graduation. Georgia State.
digital ethics. Mark Gill and Susana Nuccetelli. digital ethics: Susana Nuccetelli brought her students from the Philosophy Dept to Mark Gill’s SCSu Vizlab so we can discuss ethics and AI, last semester. jobrien@educause.edu
assistant vice president for student success and prevention Morgan State U
the importance of training in technology adoption
Dr. Peter Smith, Orkand Endowed Chair and Professor of Innovative Practices in Higher Education at University of Maryland University College
social disruption, national security issue,
Allan Taft Candadian researcher, 700 hours / year learning something. 14 h/w.
learners deserve recognition
free range learning.
how do we get a value on people from a different background? knowledge discrimination. we value it on where they learned it. then how you learned it and what you can do with it. talent and capacity not recognized.
we, the campus, don’t control the forces for a very first time. MIT undergrad curricula is free, what will happen. dynamics at work here. declining student numbers, legislation unhappy. technology had made college more expensive, not less. doing the right thing, leads to more disruption. local will be better, if done well. workplace can become a place for learning.
learning is a social activity. distance learning: being on the farthest raw of 300 Princeton lecture. there is a tool and there is people; has to have people at the heart.
what will work not only for MN, but for each of the campuses, the personalization.
staying still is death.
Panel discussion
what is the role of faculty in the vendor and discussions about technology. a heat map shows that IT people were testing the vendor web site most, faculty and student much less.
In the U.S., quitting Twitter and Facebook would pose a serious challenge for politicians, according to Republican strategist Alice Stewart.
German politicians have harnessed American social-media savvy. NPR’s Soraya Sarhaddi Nelson reports that Austin, Texas-based Harris Media, which helped create Texas Republican Sen. Ted Cruz’s online presence and briefly worked with the Trump campaign, was critical in crafting polarizing social media messaging for the AfD.
Twitter lost 9 million users worldwide in the third quarter of 2018, according to the latest company earnings report.
Facebook grew during the same period in every market except Europe, where it lost a million monthly active users. But it has faced a backlash since a whistle-blower revealed in March 2018 that some 87 million people had their data improperly shared with Cambridge Analytica. It was the beginning of a months-long scandal that revealed the network was slow to respond when Russian operatives used it to spread misinformation to influence U.S. elections.
This is a free event, thanks to our founding conference sponsor: School of Information at San José State University.
ATTENDING: We will send links for attending the conference a day or two before the event.
If you have friends or colleagues that wish to attend, this is a free event and we encourage you to share our information widely. However, please send them to the conference registration page (https://www.library20.com/instructionaldesign) rather than giving them the above link directly as it will allow us to track participation.
What is ID: ID create an environment conductive to students’ success. Thoughtful and applied design. Making faculty and instructors’ life easier. Allow faculty to do what they do best.
Lindsey: solving the instructional problem with the tools at hand.
go-to ed tech? What is the hot tech right now?
Lindsey: H5P (open source) CC – licensed, Moodle, WordPress, build online tutorials for free (Isolde), Norway, well based, VR tours. Will H5P become paid? Michael: cell phones Dana: Emory VoiceThread. From the chat: Articulate365 (pricy), Kahoot, Peardeck, Yellowdig, vidgrid, Adobe Spark, Adobe POst, padlet, Groupme instead of Canvas, Vyond, Coggle, wakelet, Phinx
Suggestions for librarians who want to build ID skills. Dana: connect with the regional community if no ID on campus. Community of practice. Using ID tools, speakers outside of campus. Lindsey: teaching myself what is most interesting to me. what technologies are important. Find a learning community. Michael: repeat the others
keep up to date on ID theory and practices: Dana – ELI, OLC (Online Learning Consortium). ELearning Heroes. Lindsay: corporate word. Michael: POD
the one-shot instruction: what is the approach (q/n from the chat); Dana – ID as a services. person dedicated following up with people requested either ID class or training, open the line of communication. summative evaluation type of activity since we are failing to evaluate how well students absorbed the information. LIndsey: one-shot for basics (e.g. freshman), build scaffold program, reserved the one shot for meeting with librarians, for hands-on. Michael: work with faculty member and rewrite a program, build assessment rather then only deliver
areas of impact: subject matter librarians, working with faculty to use of the library resources, new faculty drawn in info and if not follow up, Canvas support. Michael: librarians and ID working directly with faculty rewriting their curricula, measure it, demonstrating library need, 3000 students – correlation. document the lib contribution to student learning directly, the teaching-learning culture change. using info and data in more authentic ways. Lindsey: disconnect the way librarian teach vs faculty teach. Coordination scaffolding.
q/n from the chat. easily. how can non ID librarian can easily implement ID type:
Lindsey: new to ID? Google. Jargon and Acronyms. re framing how you see ed technology. technology as something to get the job done. no need to get fancy.
Dana: same as Lindsey. But also learning theories and learning outcomes. From ID perspective: what they will come out with by the end of the session. action words.
Michael: mindset. what students want to learn, before what I will teach. backward design – understanding by design. UDL. Grab a friend and talk through.
Tara
ed tech is not getting job done:
clickers for attendance is horrible idea.
I had a really interesting role in grad school where we lived in the land between tech support and pedagogical / design support.
From Rajesh Kumar Das to All panelists and other attendees: (02:38 PM)
Good to hear from mike about affective learning. In this case, could you please focus what kind of technique is approprite for what, i.e. Didactic instruction, a low-complexity teaching technique such as a “Quiz Bowl”, or Jigsaw Method as high-complexity strategy, or both.
From Hailey W. to All panelists and other attendees: (02:36 PM)
As an ID librarian and the campus LMS administrator I struggle with getting them to see that other side of my role. That I’m not just “tech support”. Anyone else? Een jsut not being tech support?
From Vickie Kline to All panelists and other attendees: (02:44 PM)
As a librarian not formally trained in ID, I think a good entry point for exploring is Universal Design for Learning. We also need to pay attention to creating accessibility materials…
From Heather Quintero to All panelists and other attendees: (02:45 PM)
I always start with ADDIE… I am formally trained in ID and am an IT trainer for librarians. ADDIE is a framework for every class I make for both live and online classes. Don’t disregard ADDIE.
From Allison Rand to All panelists and other attendees: (02:47 PM)
The Wiggins and McTighe is a great book!
From Roberta (Robin) Sullivan to All panelists and other attendees: (02:53 PM)
@Rachel, Peggy, Shane – an open source course is available. Check out the SUNY’s Quality by Design (QbD): Strategies for Effective Teaching and Quality Course Design at: http://suny.edu/qbd This course is available as a facilitated version at least once each semester and as a self-paced non-facilitated version in Blackboard’s CourseSites. After completing the course requirements you can earn a Digital Badge to show your accomplishment.
From Naomi Toftness to All panelists and other attendees: (02:55 PM)
Just heard the terms “deliberate innovation” vs. “desperate innovation” that totally speaks to my situation with wanting to adopt the new cool tech
++++++++++++++++++++++ SESSION LINK – https://sas.elluminate.com/d.jnlp?sid=2008350&password=LIB2019IDPart7 — If the session link doesn’t work for you, please copy and paste into your browser.
Session Title: Gamifying Instruction: Breakouts and Badges!
Your Name and Title: Dr. Brenda Boyer, Librarian & Instructor
Your Library, School, or Organization Name: Kutztown Sr. High School, Rutgers University
Your Twitter Handle (@name): @bsboyer
Name(s) of Co-Presenter(s): Brenda Boyer
Area of the World from Which You Will Present: Kutztown, PA
Language in Which You Will Present: English
Target Audience: Instructional Design Librarians
Short Session Description: Build engagement for your online library instruction using LMS features, Breakout boxes, and digital badges.
Session Strand (use the “tag”): {Session Strand (use the “tag”):}
Full Session Description: It’s time to amp up your library instruction! Gamifying instruction in research skills such as database usage, advanced searching, & more can increase engagement and drive independent learning for students of all ages. This session will describe how learning management system (LMS) features can be combined with digital microcredentials (i.e. badges) and breakout boxes to gamify instruction that can be otherwise deemed boring (for both the learners and the librarian!).
Link to Conference Site Session Proposal (full URL with http://):https://www.library20.com/forum/topics/gamifying-instruction-breakouts-and-badges
Other Websites / URLs Associated with Your Session:
Your Bio: Dr. Brenda Boyer is a librarian and instructional designer. She has developed online instruction for secondary learners in the Kutztown (PA) School District, as well as for graduate and professional development learners at Wilson College and Rutgers University. She designed and instructs the Rutgers graduate course, Learning Theory, Inquiry, & Instructional Design, and is a frequent presenter at AASL, Internet@Schools. She has published articles in School Library Journal, Teacher Librarian, and School Library Connection.
are we getting the job done, is our instruction sticking, what evidence we do have?
differentiate: who is ready to do what” at what skill level? how to bring everybody up to speed?
3 elements of Digital Gamification: leverage LMS (set game levels); how digital badges are paired 3. using digital breakout boxes to push challenge, skills
each chat as prerequisite for the next. prerequisite in LMS. Each game level is module. completed with a quizz. if they pass the quiz, opens challenge.1. what is page (facts about a tool to learn about[ what the tool does, feature, etc.) 2. suppe rshort video tour (3 min max), talk about something unique 3. quick quiz (max 5 q/s from the intro page and video). pass the quiz (100 %) to unlock the challenge level. 4. challenge level. digital breakout box embedded in the LMS. breakout using Google Forms. various locks (words, letter, numbers)
Badges why?
Badgr, Credly, iDoceo
Breakout Boxes
++++++++++++++++++++++
SESSION LINK – https://sas.elluminate.com/d.jnlp?sid=2008350&password=LIB2019IDPart8 — If the session link doesn’t work for you, please copy and paste into your browser. Session Title: Improving Library Tutorials: The Multimedia Design Principles
Your Name and Title: Darlene Aguilar, Instructional Design Librarian
Your Library, School, or Organization Name: Loyola Marymount University
Your Twitter Handle (@name): @DarleneA_ID
Name(s) of Co-Presenter(s):
Area of the World from Which You Will Present: Los Angeles, CA
Short Session Description: This session will review Mayer’s (2001) Multimedia Design Principles to help improve instructional modules, tutorials, and videos.
Session Strand (use the “tag”): {Session Strand (use the “tag”):}
Full Session Description: Librarians are creating more online modules, videos, and tutorials to teach information literacy skills. Whether designing instruction online or in-person, research-based instructional methods are required and learning Mayer’s Multimedia Design Principles is the best place to start. In this session, I will review essential prior-knowledge on image types and working memory. I will then show learners how to minimize cognitive overload using these 12 principles: multimedia, spatial contiguity, temporal contiguity, coherence, modality, redundancy, individual differences, signaling, pacing, concepts first, personalization, and human voice.
Link to Conference Site Session Proposal (full URL with http://):https://www.library20.com/forum/topics/improving-library-tutorials-the-multimedia-design-principles
Other Websites / URLs Associated with Your Session:https://linkedin.com/in/darlene-aguilar/
Your Bio: Darlene Aguilar is an Instructional Design Librarian at Loyola Marymount University where she designs and develops video tutorials and online modules on information literacy and library related topics. Additionally, she provides “best practices” training in instructional design to other LMU librarians. She graduated from the University of Southern California with a Master’s in Education for Learning Design and Technology and previously worked at LAUSD for 7 years. She strives to remove learning barriers that are embedded in instruction and curriculum and make learning accessible to all learners.
Elsevier, the information analytics business specializing in science and health, has acquired Science-Metrix Inc., a research evaluation firm that provides science research evaluation and analytics to assess science and technology activities. Headquartered in Montréal, Canada, Science-Metrix is known for high-quality and independent bibliometric analysis and research evaluation.
Science-Metrix works for governmental, educational, nonprofit and private organizations that perform scientific research or deal with funding and management of science and technology. Its services enable evidence-based decision-making, strategic planning and outcome assessment processes for governments, international organizations, universities, scientific societies, publishers and technology companies.
As part of the acquisition of Science-Metrix Inc., Elsevier has also acquired 1science, a business started in 2015 to develop research intelligence products. Customers of 1science products will benefit from synergies with the Elsevier technology stack.
Way back in 1983, I identified A.I. as one of 20 exponential technologies that would increasingly drive economic growth for decades to come.
Artificial intelligence applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, decision trees and machine learning to recognize patterns from vast amounts of data, provide insights, predict outcomes and make complex decisions. A.I. can be applied to pattern recognition, object classification, language translation, data translation, logistical modeling and predictive modeling, to name a few. It’s important to understand that all A.I. relies on vast amounts of quality data and advanced analytics technology. The quality of the data used will determine the reliability of the A.I. output.
Machine learning is a subset of A.I. that utilizes advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon’s Alexa, Apple’s Siri, or any of the others from companies like Google and Microsoft all get better every year thanks to all of the use we give them and the machine learning that takes place in the background.
Deep learning is a subset of machine learning that uses advanced algorithms to enable an A.I. system to train itself to perform tasks by exposing multi-layered neural networks to vast amounts of data, then using what has been learned to recognize new patterns contained in the data. Learning can be Human Supervised Learning, Unsupervised Learningand/or Reinforcement Learning like Google used with DeepMind to learn how to beat humans at the complex game Go. Reinforcement learning will drive some of the biggest breakthroughs.
Autonomous computing uses advanced A.I. tools such as deep learning to enable systems to be self-governing and capable of acting according to situational data without human command. A.I. autonomy includes perception, high-speed analytics, machine-to-machine communications and movement. For example, autonomous vehicles use all of these in real time to successfully pilot a vehicle without a human driver.
Augmented thinking: Over the next five years and beyond, A.I. will become increasingly embedded at the chip level into objects, processes, products and services, and humans will augment their personal problem-solving and decision-making abilities with the insights A.I. provides to get to a better answer faster.
Technology is not good or evil, it is how we as humans apply it. Since we can’t stop the increasing power of A.I., I want us to direct its future, putting it to the best possible use for humans.
