hybrid learning

From DSC:
Though the title of Ashley Coolman’s blog posting out at smartsparrow.com mentions technology in it, the article is largely not about technology at all — but rather about the benefits of active learning. That’s why I’m highlighting it here.

Enabling active learning through technology — from smartsparrow.com by Ashley Coolman

Excerpts:

To many, it seems as though any learning can be considered active. Is a student taking notes not actively engaged in a class, especially when compared to their peers sleeping or playing on their phones in the back of the room?

The problem here is that while the note-taking student may be engaging with the class and professor, they are not engaging with the material. When furiously scribbling notes, students are more focused on getting every word down rather than evaluating, understanding, and analyzing what it is they are writing. They have engaged with the lecture, but not the material being relayed — which is the most important part.

In a study on active learning called “Active Learning: Creating Excitement in the Classroom”, the researchers stated:

“Surprisingly, educators’ use of the term “active learning” has relied more on intuitive understanding than a common definition. Consequently, many faculty assert that all learning is inherently active and that students are therefore actively involved while listening to formal presentations in the classroom. Analysis of the research literature (Chickering and Camson 1987), however, suggests that students must do more than just listen: They must read, write, discuss, or be engaged in solving problems. Most important, to be actively involved, students must engage in such higher-order thinking tasks as analysis, synthesis, and evaluation.” (Bonwell and Eison 1991)

It is the degree and form by which students are actively engaging that matters. It is “learning by doing” that students really need.

Active learning is any learning activity in which the student INTERACTS or ENGAGES with the material, as opposed to passively taking in the information.

Furthermore, Cornell University found that research suggests learner attention starts to wane every 10–20 minutes during lectures. Incorporating active learning techniques a few times throughout class can encourage more engagement.*

*A side note from DSC:
A tool like Socrative may come in useful here.

The blog posting from Smart Sparrow also linked to this resource:

The problem is that lecture-based learning is not like filling a jug — you just don’t catch it all. Learning from lectures is more like holding out your hands and trying to keep the imparted knowledge from spilling through the cracks in this tidal wave of new information. Ultimately, students will catch some of the water, but most of it will be lost.

A side note from DSC to Calvin College faculty members:
If you doubt the immediately preceding quote, see if you can *fully* recall exactly what last Sunday’s sermon was about — including all examples, details, and wisdom that the preacher was trying to relay.

Ultimately, it’s about impact. What strongly impacts students stays with students — and isn’t that true for all of us?

Ashley lists the following resources re: active learning at the end of her posting:

Connecting the education community with research on learning — from digitalpromise.org

Excerpt:

When designing a program or product, many education leaders and ed-tech developers want to start with the best knowledge available on how students learn. Unfortunately, this is easier said than done.

Although thousands of academic articles are published every year, busy education leaders and product developers often don’t know where to start, or don’t have time to sift through and find studies that are relevant to their work. As pressure mounts for “evidence-based” practices and “research-based” products, many in the education community are frustrated, and want an easier way to find information that will help them deliver stronger programs and products — and results. We need better tools to help make research more accessible for everyday work in education.

The Digital Promise Research Map meets this need by connecting education leaders and product developers with research from thousands of articles in education and the learning sciences, along with easy-to-understand summaries on some of the most relevant findings in key research topics.

Also see:

Sesame Workshop, IBM launch early-childhood education initiative — from yahoo.com by Todd Spangler

Excerpt:

Cookie Monster, Elmo and friends are about to hit a new digital learning curve.

Sesame Workshop, the not-for-profit org that produces “Sesame Street,” and tech giant IBM have entered into a partnership to develop new personalized educational products and platforms for preschool-age kids — with the goal of transforming the ways children learn and teachers teach.

Under the three-year agreement, Sesame Workshop and Big Blue will design interactive educational experiences for use in homes and schools that adapt to the learning preferences and aptitude levels of individual preschoolers.

For now, the organizations are treating the project as an R&D investment. IBM and Sesame Street will deploy engineers, educators and researchers to work side-by-side in classrooms and in their own labs and learning facilities. Later this year, they plan to test and share prototypes with leading teachers, academics, researchers, technologists, gamers, performers and media execs to solicit feedback and brainstorm ways in which cognitive computing can best help preschoolers learn.

From DSC:
This will be an important experiment to watch. If it shows promise, it could help parents, pre-school teachers, and the pre-schoolers themselves. Then, the trajectory could make its way to helping early elementary students, to middle school students, to high school students and beyond.

If successful, this is exactly the sort of thing that I could see as one of the key ingredients in the Learning from the [Class] Room vision. Teachers, parents, coaches, etc. will still be critical. But these type of tools and technologies could be running in the background within a blended learning environment — one that can operate at a distance if need be.

2016 Online Education Trends [bestcolleges.com]

On 04/15/2016, in adjunct faculty, blended learning, change, cost of getting a degree, digital learning, education technology, faculty, game-changing environment, higher education, hybrid learning, online learning, student-related, trends, by Daniel Christian

2016 Online Education Trends — from bestcolleges.com
Tracking the innovations and issues changing higher education

Excerpt:

Key issues are identified in three categories:

The state of online teaching and learning
Technology and tomorrow’s learning environments
The cost of online education

Through completely online virtual schools, hybrid or blended learning options, and some state-level requirements, K-12 students are entering college with online learning experience.

The results suggest that there are six new major types of students enrolling in college today. These types have multifaceted motivations and the need to consider more than just age or delivery platform when planning everything from curriculum and support services to marketing initiatives.

Aspiring Academics: high-achieving, high-income recent high school graduates who want the traditional college experience and professional focus, which may include graduate school
Coming of Age: unsure about career goals or major, but trust that college is the way forward
Career Starters: interested in majors that lead to specific careers; focused on researching program costs and placement rates when making college decisions
Career Accelerators: already working full-time and interested in advancing in their existing career field with part-time college options
Industry Switchers: have work experience, but want to change career fields; focused on cost, online and hybrid options, job placement services
Academic Wanderers: often returning to college after a break; unsure about career goals, but focused on finding low-cost higher education options to help them move forward

…

From the Who is teaching online? section:

Across higher education, online and on campus, the new normal is a reduction in full-time tenure-track faculty members and an increase in part-time or contract-based instructors in what are often referred to as contingent or adjunct positions.

…

According to the American Association of University Professors (AAUP), “more than 50% of all faculty hold part-time appointments” [9]. This doesn’t mean, however, that they are not working the equivalent of full-time hours or teaching a full-time course load. Almost 75% of faculty are considered “non-tenure track,” meaning that they may work part-time or full-time, but without the support and resources usually available to those in tenure-track positions [10].

Education consultant Peter Stokes recently called for a switch in language and approach. Online learning has become synonymous with “tuition streams” and “content development,” and perhaps a specific type of degree program. Stokes recommends replacing this term with digital strategy. This all-encompassing term more accurately describes not only delivery mode and administrative decisions, but also “pedagogy”, “market relevance” and the use of educational technology in on-campus programs as well [26]. This broader focus represents the reality of today’s higher education system, which increases student access to college while improving the overall learning experience.

The final report of Massachusetts Institute of Technology’s Online Education Policy Initiative presents findings from discussions among the members of the Institute-wide initiative supported by advice from the advisory group. The report reflects comments and responses received from many sources, including education experts, government education officials, and representatives of university organizations.

Our findings target four areas: interdisciplinary collaboration, online educational technologies, the profession of the learning engineer, and institutional and organizational change. Focused attention in these areas could significantly advance our understanding of the opportunities and challenges in transforming education.

Recommendation 1:
Increase Interdisciplinary Collaboration Across Fields of Research in Higher Education, Using an Integrated Research Agenda

Recommendation 2:
Promote Online as an Important Facilitator in Higher Education

Recommendation 3:
Support the Expanding Profession of the “Learning Engineer”

Recommendation 4:
Foster Institutional and Organizational Change in Higher Education to Implement These Reforms

Also see:
MIT releases online education policy initiative report — from news.mit.edu by Jessica Fujimori, April 1, 2016
New report draws on diverse fields to reflect on digital learning.

Excerpts:

A new MIT report on online education policy draws on diverse fields, from socioeconomics to cognitive science, to analyze the current state of higher education and consider how advances in learning science and online technology might shape its future.
…
Titled “Online Education: A Catalyst for Higher Education Reform,” the report presents four overarching recommendations, stressing the importance of interdisciplinary collaboration, integration between online and traditional learning, a skilled workforce specializing in digital learning design, and high-level institutional and organizational change.
…
“There’s so much going on in online education, and it’s moving so quickly, that it’s important to take time to reflect,” says Eric Klopfer, a key participant in the initiative, who is a professor of education and directs the MIT Scheller Teacher Education Program. “One of the goals of the report is to try to help frame the discussion and to pull together some of the pieces of the conversation that are taking place in different arenas but are not necessarily considered in an integrated way,” Willcox says.

“We believe that there is a new category of professionals emerging from all this,” Sarma says. “We use the term ‘learning engineer,’ but maybe it’s going to be some other term — who knows?”

These “learning engineers” would have expertise in a discipline as well as in learning science and educational technologies, and would integrate knowledge across fields to design and optimize learning experiences.

“It’s important that this cadre of professionals get recognized as a valuable profession and provided with opportunities for advancement,” Willcox says. “Without people like this, we’re not going to make a transformation in education.”

Finally, the report recommends mechanisms to stimulate high-level institutional and organizational change to support the transformation of the industry, such as nurturing change agents and role models, and forming thinking communities to evaluate reform options.

“Policy makers and decision makers at institutions need to be proactive in thinking about this,” says Willcox. “There’s a lot to be learned by looking at industries that have seen this kind of transformation, particularly transformations brought on by digital technologies.”

Key issues in teaching and learning 2016 [educause.edu]

On 03/30/2016, in adjunct faculty, analytics, blended learning, digital learning, faculty, higher education, hybrid learning, learning spaces, mobile learning, multimedia, new business models, online learning, personalized/customized learning, professional development, smart classrooms, teaching & learning, by Daniel Christian

Key issues in teaching and learning 2016 — from educause.edu

Digitally-based means of learning are going to skyrocket!!! Here’s why. [Christian]

On 03/18/2016, in 21st century, 24x7x365 access, active learning, analytics, assessment, assistive technologies, blended learning, Bring your own device (BYOD), collaboration, colleges, communications, communities of practice, community colleges, Daniel S. Christian, digital learning, distance education, education technology, emerging technologies, face-to-face, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), hybrid learning, ideas, innovation, interactivity, internet, IT in HE, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, mirroring and/or multiple devices, mobile learning, mobile technologies, multi-touch, multimedia, Near Field Communication (NFC), new business models, online learning, online media, online tutoring, participation, platforms, productivity / tips and tricks, second screen apps, smart classrooms, smart/connected TV, student-related, teaching & learning, telecommunications, telepresence, television, tools, training / L&D, trends, universities, user experience (UX), using teams, vendors, videoconferencing, virtual tutoring, web-based collaboration, webinars, by Daniel Christian

Key point from DSC:
Digitally-based means of learning are going to skyrocket!!! Far more than what we’ve seen so far! There are several trends that are occurring to make this so.

As background here, some of the keywords and phrases that are relevant to this posting include:

Wireless content sharing
Wireless collaboration solutions
Active learning based classrooms
Conference rooms
Bring Your Own Device (BYOD)
Enterprise wireless display solutions
Enterprise collaboration solutions
Cross platform support: iOS, Android, Windows
Personalized learning
Learning analytics

Some of the relevant products in this area include:

Bluescape
Mezzanine from Oblong Industries
Montage from DisplayNote Technologies
ThinkHub and ViewHub from T1V
Mersive Solstice
Crestron AirMedia
Barco Clickshare
Haworth Workware Wireless
Christi Brio
AMX enzo
NovoConnect from Vivitek
Arrive MediaPoint
Apple TV
Chromecast

From DSC:

First of all, consider the following products and the functionalities they offer.

People who are in the same physical space can collaborate with people from all over the world — no matter if they are at home, in another office, on the road, etc.

For several of these products, remote employees/consultants/trainers/learners can contribute content to the discussions, just like someone in the same physical location can.

ThinkHub-March2016

From DSC:

Many of these sorts of systems & software are aimed at helping people collaborate — again, regardless of where they are located. Remote learners/content contributors are working in tandem with a group of people in the same physical location. If this is true in business, why can’t it be true in the world of education?

So keep that in mind, as I’m now going to add on a few other thoughts and trends that build upon these sorts of digitally-based means of collaborating.

Q: Towards that end…ask yourself, what do the following trends and items have in common?

The desire to capture and analyze learner data to maximize learning
Colleges’ and universities’ need to increase productivity (which is also true in the corporate & K-12 worlds)
The trend towards implementing more active learning-based environments
The increasing use of leveraging students’ devices for their learning (i.e., the BYOD phenomenon)
The continued growth and increasing sophistication of algorithms

A: All of these things may cause digitally-based means of learning to skyrocket!!!

To wrap up this line of thought, below are some excerpts from recent articles that illustrate what I’m trying to get at here.

Embrace the Power of Data
A continuous improvement mindset is important. Back-end learning analytics, for example, can reveal where large numbers of students are struggling, and may provide insights into questions that require new feedback or content areas that need more development. Data can also highlight how students are interacting with the content and illuminate things that are working well—students’ lightbulb moments.

— Five Principles for Your Learning Design Toolkit
from edsurge.com by Amanda Newlin

Mitchell gave the example of flight simulators, which not only provide students with a way to engage in the activity that they want to learn, but also have data systems that monitor students’ learning over time, providing them with structured feedback at just the right moment. This sort of data-centric assessment of learning is happening in more and more disciplines — and that opens the door to more innovation, he argued.

…

A promising example, said Thille, is the use of educational technology to create personalized and adaptive instruction. As students interact with adaptive technology, the system collects large amounts of data, models those data, and then makes predictions about each student based on their interactions, she explained. Those predictions are then used for pedagogical decision-making — either feeding information back into the system to give the student a personalized learning path, or providing insights to faculty to help them give students individualized support.

…

“We need the models and the data to be open, transparent, peer-reviewable and subject to academic scrutiny.”

…

“We began to actually examine what we could do differently — based not upon hunches and traditions, but upon what the data told us the problems were for the students we enroll,” said Renick. “We made a commitment not to raise our graduation rate through getting better students, but through getting better — and that gain meant looking in the mirror and making some significant changes.”

…

A 21st-century learning culture starts with digital content. In 2010, Jackson State University was looking for ways that technology could better address the needs of today’s learner. “We put together what we call our cyberlearning ecosystem,” said Robert Blaine, dean of undergraduate studies and cyberlearning. “What that means is that we’re building a 21st-century learning culture for all of our students, writ large across campus.” At the core of that ecosystem is digital content, delivered via university-supplied iPads.

— 7 Things Higher Education Innovators Want You to Know
from campustechnology.com by Rhea Kelly

On Bennett’s wish list right now is an application that allows students to give feedback at specific points of the videos that they’re watching at home. This would help him pinpoint and fix any “problem” areas (e.g. insufficient instructions for difficult topics/tasks) and easily see where students are experiencing the most difficulties.

TechSmith’s now-retired “Ask3” video platform, for example, would have done the trick. It allowed users to watch a video and ask text-based questions at the point where playback was stopped. “I’d like to be able to look at my content and say, ‘Here’s a spot where there are a lot of questions and confusion,'” said Bennett, who also sees potential in an “I get it” button that would allow students to hit the button when everything clicks. “That would indicate the minimum viable video that I’d need to produce.” Learning Catalytics offers a similar product at a fee, Bennett said, “but I can’t charge my students $20 a year to use it.”

— 6 Flipped Learning Technologies To Watch in 2016
from thejournal.com by Bridget McCrea

All of these trends lend themselves to causing a major increase in the amount of learning that occurs via digitally-based means and methods.

Without blended and/or online learning, obtaining data & using analytics in education only gets you so far. [Christian]

On 02/09/2016, in analytics, blended learning, Daniel S. Christian, data related items, digital learning, education technology, elearning, face-to-face, higher education, hybrid learning, ideas, instructional design, IT in HE, learning spaces, MBA, MOOCs -- Massive Open Online Courses, online learning, smart classrooms, by Daniel Christian

From DSC:
Big data is a big theme these days — in a variety of industries. Higher ed is no exception, where several vendors continue to develop products that hope to harness the power of big data (and to hopefully apply the lessons learned in a variety of areas, including retention).

However as an Instructional Designer, when I think of capturing and using data in the context of higher education, I’m not thinking about institutional type of data mining and the corresponding dashboards that might be involved therein. I’m thinking of something far more granular — something that resembles a tool for an individual professor to use.

I’m thinking more about individual students and their learning. I’m thinking about this topic in terms of providing additional information for a faculty member to use to gauge the learning within his or her particular classes — and to be able to highlight issues for them to address.

So, for example, when I’m thinking about how a mathematics professor might obtain and use data, I’m thinking of things like:

How did each individual do on this particular math problem?
Who got it right? Who got it wrong?
What percentage of the class got it right? What percentage of the class got it wrong?
For those who got the problem wrong, where in the multi-step process did they go wrong?

So perhaps even if we’re only obtaining students’ final answers — whether that be via clickers, smartphones, laptops, and/or tablets — data is still being created. Data that can then be analyzed and used to steer the learning. This type of information can then help the mathematics professor follow up accordingly — either with some individuals or with the entire class if he/she saw many students struggling with a new concept.

Such data gathering can get even more granular if one is using elearning types of materials. Here, the developers can measure and track things like mouse clicks, paths taken, and more. So like the approaching Internet of Things, data can get produced on a massive scale.

But very few mathematics professors have the time to:

manually track X/Y/or Z per student
manually capture how an entire class just did on a math problem
manually document where each student who got a problem incorrect went wrong

So in the way that I’m thinking about this topic, this entire push/idea of using data and analytics in education requires things to happen digitally — where results can automatically be stored without requiring any manual efforts on the part of the professor.

The ramifications of this are enormous.

That is, the push to use analytics in education — at least at the personalized learning level that I’m thinking of — really represents and actually requires a push towards using blended and/or online-based learning. Using strictly 100% face-to-face based classrooms and environments — without any digital components involved — won’t cut it if we want to harness the power of analytics/data mining to improve student learning.

Though this may seem somewhat obvious, again, the ramifications are huge for how faculty members structure their courses and what tools/methods that they choose to utilize. But this goes way beyond the professor. It also has enormous implications for those departments and teams who are working on creating/revising learning spaces — especially in terms of the infrastructures such spaces offer and what tools might be available within them. It affects decision makers all the way up to the board-level as well (who may not be used to something other than a face-to-face setting…something they recall from their own college days).

What do you think? Are you and/or your institution using big data and analytics? If so, how?

Also see:

Big data and higher education: These apps change everything — from bigdatalandscape.com

Excerpt:

Big Data is going to college. The companies on this list have been developing innovative higher education analytics apps. Universities are realizing the importance of harnessing Big Data for the purposes of helping students to succeed, helping instructors to know what students still need to learn, analyzing efficiency in all areas, boosting enrollment, and more.

For example, CourseSmart embeds analytics directly into digital textbooks. These analytics provide an “engagement index score,” which measures how much students are interacting with their eTextbooks (viewing pages, highlighting, writing notes, etc.). Researchers have found that that the engagement index score helps instructors to accurately predict student outcomes more than traditional measurement methods, such as class participation.

In addition, there are dashboards that enable Big Data analytics and visualization for the purpose of monitoring higher education KPIs such as enrollment, accreditation, effectiveness, research, financial information, and metrics by class and by department. Read on to find out about the companies that are shaping Big Data analytics in higher education.

How five edtech start-ups are using big data to boost business education — from businessbecause.com by Seb Murray
MOOC platforms explore analytics with b-school partners

Excerpts:

“Data is an amazing resource for teachers, who glean detailed feedback on how learners are processing information,” says Julia Stiglitz, director of business development at Coursera, the online learning site with 17 million users.

Coursera, which works with the b-schools IE, Yale and Duke Fuqua, offers a dashboard that gives teachers insight into when students are most likely to stop watching a video, and the percentage who answer assessment questions correctly the first time around.
…
“By carefully assessing course data, from mouse clicks to time spent on tasks to evaluating how students respond to various assessments, researchers hope to shed light on how learners access information and master materials,” says Nancy Moss, edX’s director of communications.

New Media Consortium (NMC) & Educause Learning Initiative (ELI) release the NMC Horizon Report > 2016 Higher Ed Edition — from nmc.org

Excerpt:

The New Media Consortium (NMC) and EDUCAUSE Learning Initiative (ELI) are jointly releasing the NMC Horizon Report > 2016 Higher Education Edition at the 2016 ELI Annual Meeting. This 13^th edition describes annual findings from the NMC Horizon Project, an ongoing research project designed to identify and describe emerging technologies likely to have an impact on learning, teaching, and creative inquiry in higher education.

The report identifies six key trends, six significant challenges, and six important developments in educational technology across three adoption horizons spanning over the next one to five years, giving campus leaders, educational technologists, and faculty a valuable guide for strategic technology planning. The report provides higher education leaders with in-depth insight into how trends and challenges are accelerating and impeding the adoption of educational technology, along with their implications for policy, leadership, and practice.

Example slides from one of the presentations at the Flipped Classroom Conference 2016
[Held at Harvey Mudd College in January; with special thanks to Mr. Jeremy VanAntwerp,
Professor of Engineering at Calvin College for this resource]

Three reasons for switching to flipped learning — from rtalbert.org by Robert Talbert, Mathematics Professor at Grand Valley State University in Michigan [USA]

Excerpt:

The argument from pedagogy: We use flipped learning because it puts the best-known/best-available practices for teaching and learning in the spotlight, including active learning of all kinds, student-centered instruction, constructivist techniques, differentiated instruction, spaced repetition, Vygotsky’s zone of proximal development idea, self-regulated learning, and the like. Whereas these things can be featured in a traditional classroom but it feels unnatural, like the wrong tool for the job.
The argument from logistics…
The argument from relationships…

Peer instruction for active learning — by Harvard University Prof. Eric Mazur on difficulties of beginners, teaching each other, and making sense of information

Also see Eric’s presentation out at Auburn University from back in September 2014:

Why are we so slow to change the way we teach? — from facultyfocus.com by Maryellen Weimer, PhD

Excerpt:

However, lecture isn’t the only example of where we’re slow to change. Many aspects of teaching—course design, approaches to testing, assignments, and grading—have also changed little. Granted, some faculty do change, a lot and regularly, but not the majority. The question is, “Why?” Here are some possibilities I’ve been considering.

Crafting questions that drive projects — from learninginhand.com by Tony Vincent

Excerpt:

Not only does project based learning motivate students because it is an authentic use of technology, it facilitates active learning, critical thinking, collaboration, and creativity. Projects begin with a driving question—an open-ended question that sets the stage for the project by creating interest and curiosity. Writing an effective driving question is surprisingly challenging. You want the question to be intriguing and irresistible to students, which makes it very different from the typical questions they encounter on tests.

A Driving Force
Like many educators, I call the “mission statement” of a project a driving question. It captures the heart of the project by providing purpose using clear and compelling language. With so many different flavors of project based learning (including problem based learning, challenge based learning, student centered learning, exploration, student driven inquiry, and authentic learning), it’s not surprising that we have a variety of other terms for a question or statement that is the project’s driving force. These terms include essential question, challenge, prime question, WILD HOG question, focus question, and smart question. I’ll stick with driving question, but do know that sometimes the driving question is not interrogative. It might be a statement, but I’ll still refer to is as a question.

Literacy help: Alan Peat story bags – How to develop story writing and literacy skills in younger children. — from hubpages.com

Excerpt:

There is no getting away from the fact that the more a child has been read to and the more they try to read themselves then the better their literacy skills are going to be. Parents have a massive influence on this. As a parent myself I considered reading to and teaching my daughter to read the one most important thing I could do to aid her life at school.

Sadly this is not always the case and too many students we teach read rarely at home or in rare cases don’t even own a book. Sad I know and to be honest I can’t imagine a house without books in it. I jokingly refer to my daughters collection ‘her library’ because she has so many which are updated as she reads through them.

But lets be fair, it is not only the students who struggle with reading that need help with story writing. A lot of students will benefit from this approach including your high flyers. I have taught this in year 3, although i would consider it to be more a KS1 activity, but in year 3 they do need certain aspects of a KS1 curriculum to help there development as it is a hard transitional year. Saying that I have seen other teachers use it in higher years than that and why not if it will benefit their writing.

…
On the front of each bag, so every child can read it easily should be the questions:

Who?
Where?
Where next?
Why?
What goes wrong?
Who helps?
Where last?
Feelings?

Simple tips to create a blended learning classroom — from blog.edmentum.com by Jasmine Auger

Excerpt:

We’ve compiled this list of five easy ways to start incorporating technology into your classroom and building a blended environment!

Blogging
Social Media
Virtual Presentations
Infographics
Video

Other somewhat related items:

Full STEAM ahead: Why arts are essential in a STEM education — from edutopia.org by Mary Beth Hertz

Excerpt:

The connection is also obvious for anyone who has ever worked in any traditional STEM career. Everyone from software engineers and aerospace technicians to biotechnical engineers, professional mathematicians, and laboratory scientists knows that building great things and solving real problems requires a measure of creativity. More and more, professional artists themselves are incorporating technological tools and scientific processes to their art.

Also see:
STEM to STEAM: Resources Toolkit — from edutopia.org | Originally Published: 5/21/14 | Updated: 1/20/16
Whether you are looking for resources on integrating science, technology, engineering, and math or on infusing the arts to transform STEM into STEAM, these curated compilations will help you plan different approaches to integrated studies.

…and a related item re: curriculum, but at the collegiate level:

What is the value of an education in the humanities? — from npr.org by Adam Frank

Excerpt:

In spite of being a scientist, I strongly believe an education that fails to place a heavy emphasis on the humanities is a missed opportunity. Without a base in humanities, both the students — and the democratic society these students must enter as informed citizens — are denied a full view of the heritage and critical habits of mind that make civilization worth the effort.
…

So, these are my traditional answers to the traditional questions about the value of humanities and arts education vs. science and engineering. From my standpoint as a scholar, I’ll stand by them and defend what they represent to the last breath.

But the world has changed and, I believe, these answers are no longer enough.

It’s not just the high cost of college that alters the equation. It’s also vast changes that have swept through society with the advent of a world run on information (i.e., on data). So, with that mind, here is my updated — beyond the traditional — response to the value of the humanities in education: The key is balance.

It is no longer enough for students to focus on either science/engineering or the humanities/arts.

PBS’ School Sleuth: The Case of the Wired Classroom <-- A well done, creative, objective, solid discussion of technology in the classroom

On 01/16/2016, in 21st century, active learning, Apple, blended learning, Bring your own device (BYOD), change, collaboration, creativity, digital audio, digital learning, digital storytelling, digital textbooks, digital video, education, education reform, education technology, elearning, game-changing environment, generational differences, Google, hybrid learning, internet, K-12 related, learning, learning ecosystem, learning hubs & pods & microschooling, learning theories, media/film, Microsoft, multimedia, online learning, organizational change, parents/guardians, pedagogy, personalized/customized learning, research, student teaching/teacher education, student-related, tablets, teachers, teaching & learning, teaching online, technology (general), the downsides of how people use tech, tools, trends, United States, web-based collaboration, youth, by Daniel Christian

From DSC:
If you can clear up just short of an hour of your time, this piece from PBS entitled, “School Sleuth: The Case of the Wired Classroom” is very well done and worth your time. It’s creative and objective; it offers us some solid research, some stories, and some examples of the positives and negatives of technology in the classroom. It weaves different modes of learning into the discussion — including blended learning, online learning, personalized learning and more. Though it aired back in October of 2015, I just found out about it.

Check it out if you can!

Also see:

Schools push personalized learning to new heights — from edweek.org
Excerpt:
For most schools, reaching the next level of digitally driven, personalized learning is far from reality. Still, some schools are extending their digital reach in significant and sometimes groundbreaking ways, as the stories in this special report illustrate. They are making moves to integrate a variety of technologies to track how students learn and to use the resulting data to expand the use of hands-on, project-based learning. The goal is to build never-ending feedback loops that ultimately inform the development of curriculum and assessment. Plus, big data and analytics are gradually making their marks in K-12 education. This special report outlines the progress schools are making to use digital tools to personalize learning, but also raises the question: Are they reaching far enough?
.
A Pedagogical Model for the use of iPads for Learning — from higheru.org

Flipping Feedback: Screencasting feedback on student essays — from facultyfocus.com by Ron Martinez

Excerpt (emphasis):

But, I thought, what if students could actually watch and hear me in a video as I go over their papers? If possible (which it is), that would approximate the kind of feedback experience I aimed to offer students without constraining it to a particular time or location.

Screencasting (recording and narrating actions performed by the instructor on a computer screen) did that and much more for me and my students. Below I describe the process and the resulting benefits.

From DSC:
Though Ron mentioned that he selected Screencast-O-Matic on his PC (and he also mentioned Quicktime), I wanted to offer up a couple of other possibilities:

Professors using Blackboard Collaborate can be heard while marking up a document in Word, Google Docs, or in other applications by making recordings while using the Application Sharing feature. See Chapter 10 in this document for example, for the “original experience” (Bb Collaborate Version 12.6) or the Application Sharing portion of this page (for the new “Ultra Experience”).
Screenflow — where you can be seen, heard, as well as share and record your screen while you are mocking up/editing the document in whatever Mac OS-based application you want to use
Adobe Captivate
Camtasia Studio
(On the iPad) Explain Everything
(On the iPad) PDF Expert
Jing
Though not exactly a preferred way (at least in my mind), you can insert an MP3-based audio file within Microsoft Word 2013
…as well as many other tools out there that can capture your screen

What are the teaching & learning ramifications of these trends? >> M2M comms, IoT, & “Holograms are coming to a high street near you”

On 01/12/2016, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), blended learning, Bring your own device (BYOD), Daniel S. Christian, data related items, digital learning, education technology, emerging technologies, experimentation, higher education, human-computer interaction (HCI), hybrid learning, IBM, ideas, innovation, intelligent systems, interactivity, internet, K-12 related, learner profiles, learning agents, learning ecosystem, learning hubs & pods & microschooling, learning preferences, learning spaces, machine-to-machine communications, maker movement, more voice more choice more control, participation, passions, personalized/customized learning, platforms, smart classrooms, student-related, teaching & learning, technologies for your home, technology (general), trends, UK, usability, user experience (UX), using teams, Virtual Reality (VR) / worlds / learning, wearables, by Daniel Christian

Holograms are coming to a high street near you — from telegraph.co.uk by Rebecca Burn-Callander
Can you tell what’s real and what’s not?

Excerpt:

Completely realistic holograms, that will be generated when you pass a sensor, are coming to the high street.

Some will be used to advertise, others will have the ability to interact with you, and show you information. In shops, when you find a shirt you like, the technology is now here to bring up a virtual clothes rail showing you that same shirt in a variety of colours, and even tell you which ones are in stock, all using the same jaw-dropping imaging we have previously only experienced wearing 3D glasses at the cinema.

Holograms, augmented reality – which superimposes technology over the real world – and virtual reality (VR), its totally immersive counterpart, are tipped to be the hot trends in retail next year. Pioneers of the technology are set to find increasingly entertaining, useful and commercially viable ways of using it to tempt people into bricks-and-mortar stores, and fight back against the rise of online shopping.

WaveOptics’ technology could bring physical objects, such as books, to life in new ways

Completely realistic holograms, that will be generated when you pass a sensor, are coming to the high street.

From DSC:
What might our learning spaces offer us in the not-too-distant future when:

Sensors are built into most of our wearable devices?
Our BYOD-based devices serve as beacons that use machine-to-machine communications?
When artificial intelligence (AI) gets integrated into our learning spaces?
When the Internet of Things (IoT) trend continues to pick up steam?

Below are a few thoughts/ideas on what might be possible.

A faculty member walks into a learning space, the sensors/beacons communicate with each other, and the sections of lights are turned down to certain levels while the main display is turned on and goes to a certain site (the latter part occurred because the beacons had already authenticated the professor and had logged him or her into the appropriate systems in the background). Personalized settings per faculty member.

A student walks over to Makerspace #1 and receives a hologram that relays some 30,000-foot level instructions on what the initial problem to be solved is about. This has been done using the student’s web-based learner profile — whereby the sensors/beacons communicate who the student is as well as some basic information about what that particular student is interested in. The problem presented takes these things into consideration. (Think IBM Watson, with the focus being able to be directed towards each student.) The student’s interest is piqued, the problem gets their attention, and the stage is set for longer lasting learning. Personalized experiences per student that tap into their passions and their curiosities.

The ramifications of the Internet of Things (IoT) will likely involve the classroom at some point. At least I hope they do. Granted, the security concerns are there, but the IoT wave likely won’t be stopped by security-related concerns. Vendors will find ways to address them, hackers will counter-punch, and the security-related wars will simply move/expand to new ground. But the wave won’t be stopped.

So when we talk about “classrooms of the future,” let’s think bigger than we have been thinking.

ThinkBiggerYet-DanielChristian-August282013

Also see:

What does the Internet of Things mean for meetings? — from meetingsnet.stfi.re by Betsy Bair

Excerpt:

The IoT has major implications for our everyday lives at home, as well as in medicine, retail, offices, factories, worksites, cities, or any structure or facility where people meet and interact.
…
The first application for meetings is the facility where you meet: doors, carpet, lighting, can all be connected to the Internet through sensors. You can begin to track where people are going, but it’s much more granular.
…
Potentially you can walk into a meeting space, it knows it’s you, it knows what you like, so your experience can be customized and personalized.
…
Right now beacons are fairly dumb, but Google and Apple are working on frameworks, building operating systems, that allow beacons to talk to each other.

Addendum on 1/14/16:

Huddle Space Products & Trends for 2016 — from avnetwork.com by Cindy Davis
Excerpt:
“The concept is that you should be able to walk into these rooms, and instead of being left with a black display, maybe a cable on the table, or maybe nothing, and not know what’s going on; what if when you walked into the room, the display was on, and it showed you what meeting room it was, who had the meeting room scheduled, and is it free, can just walk in and I use it, or maybe I am in the wrong room? Let’s put the relevant information up there, and let’s also put up the information on how to connect. Although there’s an HDMI cable at the table, here’s the wireless information to connect.

How education will be smarter, less intrusive, and able to respond to how you feel [Kumar]

On 12/04/2015, in assessment, blended learning, Daniel S. Christian, digital learning, hybrid learning, innovation, K-12 related, leadership, learning ecosystem, legislatures / government / legal, by Daniel Christian

From DSC:
When done well, blended/hybrid learning can be very powerful, offering students the best of both worlds:

Let's take the best of both worlds -- online learning and face-to-face learning

Numerous technologies involved with education continue to get better. Still, students don’t always have the discipline to be totally on their own…and I often read that learners desire someone to help them navigate through the content. (This can be done online as well, I realize.) Those things said, the article below caught my eye.

How education will be smarter, less intrusive, and able to respond to how you feel — from techcrunch.com by Amar Kumar

Excerpts:

We are on the verge of a tide of smarter innovation that, if allowed to spread, will turbocharge the learning experience for students. Here are four areas worth watching:

Using technology to learn from learners
Using technology to adapt to how students feel
Building invisible assessments that are less intrusive
Keeping pace with technology in the classroom

…

Take SimCityEdu: Pollution Challenge – developed by GlassLab Games – where students learn how city-planning is impacted by environmental issues. As they play the game, the system is capturing their actions – such as the sequence of what they do or requests for help – and interprets patterns in data to assess how well the player understands important concepts. This helps teachers better evaluate how a student solves problems, rather than just the final product of their work.

In time, learning games like this should decrease reliance on stop-and-test exams and provide more real-time and actionable information to teachers.

Also related/see:

Search for Quick, Rigorous Ed-Tech Evaluations Underway –– from blogs.edweek.org by Michele Molnar
Excerpt:
Work began [in October 2015] on a federally-funded project designed to quickly determine “what works” with educational technology, so that schools and districts can make faster decisions about it.Mathematica Policy Research won the $3.67 million contract to devise tools for rapid—and rigorous—evaluation of ed-tech products. The goal is to come up with a platform where educators can choose a test that will help them determine—within one to three months—how effective a particular ed-tech product is in their schools. SRI International is a partner on the project.The idea is that the platform will have tools to walk a practitioner, school leader, researcher or app developer through the process of figuring out which research design makes the most sense, and it will ask them questions to help them set it up, said Katrina Stevens, a senior advisor at the U.S. Department of Education’s Office of Educational Technology, which is funding the so-called “rapid-cycle tech evaluation” project.
Public-university group expands ‘personalized learning’ efforts — from chronicle.com by Ellen Wexler
Excerpt:

The Association of Public and Land-Grant Universities is expanding its support of “personalized learning” with the help of a new $4.6-million grant from the Bill & Melinda Gates Foundation.

“Personalized learning” means different things to different people. It’s a buzzword, and it can be difficult to get past the hype. Depending on whom you ask, it can mean such things as data analytics, video games, or artificial-intelligence research.

7 trends that will revolutionize online learning [Barbour]

On 11/30/2015, in blended learning, digital learning, digital video, education technology, elearning, higher education, hybrid learning, interactivity, learning ecosystem, mobile learning, online learning, open courseware and systems, teaching online, trends, using teams, by Daniel Christian

7 trends that will revolutionize online learning — from ecampusnews.com by Andrew Barbour
A look at new tools and new opportunities to create an instructional experience that is not only different, but better, taking online learning in mainstream higher ed to the next level.

Excerpt:

eCampus News looks at seven trends that have the potential to remake the world of online learning.

Blended Learning Is the Sweet Spot
Video Is King
Interactivity, Not Talking Heads
Mobile Is a Must
Identity Verification and Cheating
Auto-grading
Open, Intuitive Platforms

From DSC:
I appreciated their thoughts re: adding interactivity to videos. A team-based approach may be helpful here.

Learning Ecosystems

New from MIT: “Online Education: A Catalyst for Higher Education Reforms”

Key issues in teaching and learning 2016 [educause.edu]

7 trends that will revolutionize online learning [Barbour]

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