Among student respondents, 70 percent said they prefer mostly or completely face-to-face learning environments. The professors surveyed were even more partial to face-to-face classes, with 73 percent preferring them.
Moment also makes filter adapters for screw-in 62mm filters, such as polarizers, which can help reduce reflections on water or boost the blues in the sky. Filter adapters also let you use professional-quality square Lee Filters, which slide into a holder connected to the adapter via a 62mm adapter ring.
One day he may lead Club members in a lesson on building digital resumes that can be customized quickly and make job-seeking easier when applying online. Another day they may create a blog. On this particular day, they drew up a budget for an upcoming event using a spreadsheet. For kids who are often glued to their smartphones, these types of digital tasks, surprisingly, can be new experiences.
The vast majority of young Americans have access to a smartphone, and nearly half say they are online “almost constantly.”
But although smartphones can be powerful learning tools when applied productively, these reports of hyperconnectivity and technological proficiency mask a deeper paucity of digital skills. This often-overlooked phenomenon is limiting some young people’s ability—particularly those in rural and low-income communities—to succeed in school and the workplace, where digital skills are increasingly required to collaborate effectively and complete everyday tasks.
According to a survey by Pew Research Center, only 17 percent of Americans are “digitally ready”—that is, confident using digital tools for learning. Meanwhile, in a separate study, American millennials ranked last among a group of their international peers when it came to “problem-solving in technology-rich environments,” such as sending and saving digital information
teach his sophomore pupils the technology skills they need in the workplace, as well as soft skills like teamwork.
Flipgrid is a free service that you can use to post prompts for your students to respond to with short videos that they record through their laptops, Chromebooks, iPads, or phones. Your prompts and your students’ replies can be kept private or you can make them public. a complete set of Flipgrid tutorial videos available here.
Developed by Dr. Ruben Puentedura, the SAMR Model aims to guide teachers in integrating technology into their classrooms. It consists of four steps: Substitution (S), Augmentation (A), Modification (M), and Redefinition (R).
The problem with many personalized learning tools is that they live mostly in realm of Substitution or Augmentation tasks.
It’s in moments like these that we see the SAMR model, while laying an excellent foundation, isn’t enough. When considering which technologies to incorporate into my teaching, I like to consider four key questions, each of which build upon strong foundation that SAMR provides.
1. Does the technology help to minimize complexity?
2. Does the technology help to maximize the individual power and potential of all learners in the room?
use Popplet and iCardSort regularly in my classroom—flexible tools that allow my students to demonstrate their thinking through concept mapping and sorting words and ideas.
3. Will the technology help us to do something previously unimaginable?
4. Will the technology preserve or enhance human connection in the classroom?
Social media is a modern-day breakthrough in human connection and communication. While there are clear consequences to social media culture, there are clear upsides as well. Seesaw, a platform for student-driven digital portfolios, is an excellent example of a tool that enhances human connection.
Faced with increasingly complex communication technologies—voice, video, multimedia, animation—university faculty, expert in their own disciplines, find themselves technically perplexed, largely unprepared to build digital courses.
instructional designers, long employed by industry, joined online academic teams, working closely with faculty to upload and integrate interactive and engaging content.
nstructional designers, as part of their skillset, turned to digital authoring systems, software introduced to stimulate engagement, encouraging virtual students to interface actively with digital materials, often by tapping at a keyboard or touching the screen as in a video game. Most authoring software also integrates assessment tools, testing learning outcomes.
With authoring software, instructional designers can steer online students through a mixtape of digital content—videos, graphs, weblinks, PDFs, drag-and-drop activities, PowerPoint slides, quizzes, survey tools and so on. Some of the systems also offer video editing, recording and screen downloading options
As with a pinwheel set in motion, insights from many disciplines—artificial intelligence, cognitive science, linguistics, educational psychology and data analytics—have come together to form a relatively new field known as learning science, propelling advances in a new personalized practice—adaptive learning.
Of the top providers, Coursera, the Wall Street-financed company that grew out of the Stanford breakthrough, is the champion with 37 million learners, followed by edX, an MIT-Harvard joint venture, with 18 million. Launched in 2013, XuetangX, the Chinese platform in third place, claims 18 million.
Former Yale President Rick Levin, who served as Coursera’s CEO for a few years, speaking by phone last week, was optimistic about the role MOOCs will play in the digital economy. “The biggest surprise,” Levin argued, “is how strongly MOOCs have been accepted in the corporate world to up-skill employees, especially as the workforce is being transformed by job displacement. It’s the right time for MOOCs to play a major role.”
In virtual education, pedagogy, not technology, drives the metamorphosis from absence to presence, illusion into reality. Skilled online instruction that introduces peer-to-peer learning, virtual teamwork and other pedagogical innovations stimulate active learning. Online learning is not just another edtech product, but an innovative teaching practice. It’s a mistake to think of digital education merely as a device you switch on and off like a garage door.
Khan  has introduced the eight-dimensional elearning framework, a detailed self assessment instrument for institutions to evaluate the readiness and the opportunity of their e-learning classes to grow.
institutional, management, technological, pedagogical, ethical, interface design, resource support, and evaluation. Institutional refers to the administrative and academic part of the system. Management refers to the quality control, budget, and scheduling. Technological refers to the infrastructure, hardware, and software. Pedagogical refers to analysis, organization and learning strategies. Ethical refers to ethical, legal, and social and political influences. Interface design refers to the user interface, accessibility, and design content. Resource support refers to career services, journals, and online forums. Finally, the evaluation refers to the assessment of learners and educators.
gamification – definition
Modern gamification term was first introduced by
Nick Pelling in 2002 . Gamification is a concept that implements the game components
into the non-game contents such as education, marketing, administration, or even software
engineering . These components include points, badges, leaderboards, and quests.
Each of them serves the purpose to increase the level of user engagement in the learning
three components of engagement: cognitive, behavioral, and emotional .
Conclusions sur- rounding use have therefore been
largely negative and smartphones have repeatedly
been associated with depression (Elhai, Dvorak,
Levine, & Hall, 2017), anxiety (Richardson,
Hussain, & Griffiths, 2018), disrupted sleep
(Rosen, Carrier, Miller, Rokkum, & Ruiz, 2016),
Almond, 2015), and poor academic performance
(Lepp, Barkley, & Karpinski, 2015). This repeats a
pattern of research priorities, which previously
focused on the ne- gative impacts of many other screen-based technologies, systematically moving
from television and video games, to the internet
and social media (Rosen et al., 2014).
There is also little
evidence to support the existence of the constructs
under investigation (e.g., technology ‘addiction’),
yet many papers and scales continue to use
language associated with a specific diagnosis (see
Panova & Carbonell, 2018 for a recent review).
When it comes to understanding the impact of
technology more generally, there is an intrinsic
lack of high-quality evidence (Ellis et al., 2018a).
Revised psychometric tests may hold some value
in the future, provided they are grounded in
relevant theory and validated accordingly.