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    Imagine (a world of assessment without tests) (Episode 6)

    By Dr. Kristen DiCerbo, Vice President of Education Research, Pearson

    This series, produced with The Edtech Podcast, explores the implications of and questions around future tech for education. Listen for insights from experts — including contrarians — from across industry, research, and academia. Get caught up with episodes 1-5

    How do we get beyond the tick-box or bubble filling exercise of exams and tests, whilst also measuring ‘progress’? In episode 6, we review ideas around ‘invisible assessment’ and question who benefits from ‘traditional’ and re-imagined forms of assessment, including games-based assessment. Can ‘tests’ be fun and should they be? How do we measure collaboration?

    Subscribe to the Future Tech for Education on iTunes.

     

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    What can VR, AR & Simulation offer teaching & learning? Plus, strategies to avoid the technopanic (Episode 5)

    By Denis Hurley, Director of Future Technologies, Pearson

    This series, produced with The Edtech Podcast, explores the implications of and questions around future tech for education. Listen for insights from experts — including contrarians — from across industry, research, and academia. Get caught up here with  episode 1,  episode 2, episode 3, and episode 4

    In the latest episode of our Future Tech in Education podcast series, we dip into the world of VR and mixed reality to uncover what high-cost, high-risk learning opportunities are being made more accessible to all by this technology.

    Plus, we wrap our co-curated mini series with practical suggestions for educators: be mindfully skeptical, resist fear, understand that you can start small and grow, and avoid technology for technology’s sake. This last one is harder than it sounds. Many new technologies wow us but do not have useful application to education. Learn how to make the most of technology.

    Subscribe to the Future Tech for Education on iTunes. 

     

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    Language learning as the test-bunny for educational future tech (Episode 4)

    By Denis Hurley, Director of Future Technologies, Pearson

    This series, produced with The Edtech Podcast, explores the implications of and questions around future tech for education. Listen for insights from experts — including contrarians — from across industry, research, and academia. Watch episode 1,  episode 2, episode 3.

    Technological change is exponential, which means it will only impact our lives more and more quickly. Among the aspects of our lives undergoing change, language usage is one of the ones being altered most drastically. New technologies also create new opportunities for learning. How must we adjust and what can we take advantage of?

    Subscribe to the Future Tech for Education on iTunes.

     

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    Developing responsible and calm digital citizenship (Episode 3)

    By Denis Hurley, Director of Future Technologies, Pearson

    This series, produced with The Edtech Podcast, explores the implications of and questions around future tech for education. Listen for insights from experts — including contrarians — from across industry, research, and academia.

    Technology is a part of almost every aspect of our lives: buildings can be 3D printed, cars can drive themselves, and algorithms can direct our education.

    In the third episode of this series (catch episode 1 and episode 2), we explore how do we react to, interact with, and create with the tools of technology? It’s essential that we understand how these function and what the implications.

    We also look into the changing world of work and how we can best prepare.

    View on YouTube

    For more information, check out the Pearson Future Skills report.

    Subscribe to the Future Tech for Education on iTunes.

     

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    What is AI & what has it got to do with me and my students? (Episode 2)

    By Denis Hurley, Director of Future Technologies, Pearson

    This series, produced with The Edtech Podcast, explores the implications of and questions around future tech for education. Listen for insights from experts — including contrarians — from across industry, research, and academia. Subscribe to the Future Tech for Education on iTunes here.

    Smarter digital tools, such as artificial intelligence (AI), offer up the promise of learning that is more personalized, inclusive and flexible. Many see the benefits of AI, some are skeptical – but it’s crucial we understand what these tools can do and how they work.

    In the first episode of this series, we talked about the how to navigate the challenges and opportunities tech brings to the future of education. In episode two, we explore: What is AI and what is it not? What’s the difference between narrow AI, general AI, and super-intelligence? What type of AI is used now in education? What type do people fear? What questions might teachers want to use when thinking about AI in education?

    View on YouTube

    For more information, check out the report, Intelligence Unleashed: An argument for AI in Education.

     

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    What does future tech for education look like? (Episode 1)

    By Denis Hurley, Director of Future Technologies, Pearson

    This series, produced with The Edtech Podcast, explores the implications of and questions around future tech for education. Listen for insights from experts — including contrarians — from across industry, research, and academia. Subscribe to the Future Tech for Education on iTunes.

    In our first episode of the Future Tech for Education podcast series, we put “future-forecasting” in perspective through a few useful but simple models. We talk about the history of the future and mindful skepticism, and we delve into the four foci of edtech technologies — mixed reality, data science (AI), biosyncing, and human-machine relations — and their effect on education, teaching, and learning.

    View on YouTube 

    Employ mindful skepticism. This means not accepting a new technology as inherently good or evil. But try to understand what the possibilities are. Try to understand what can it be used for; how can I make the most of this technology.

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    Teaching collaboration skills from cradle to career

    By Emily Lai, Ph.D, Kristen DiCerbo, Ph.D, Peter Foltz, Ph.D

    We’ve heard from Emily Lai, Ph.D., twice before. Last year, she shared the story of her work in Jordan to improve learning opportunities for the children of Syrian refugees. More recently, she offered her tips for parents and teachers on helping students improve their information literacy.

    The Components of Collaboration

    “Most of us know what collaboration is, at least in its most basic sense,” says Emily Lai, Ph.D.

    “It means working with others to achieve a common goal.”

    Emily is Director of Formative Assessment and Feedback for Pearson. Her work is focused on improving the ways we assess learners’ knowledge and skills, and ensuring results support further learning and development.

    “We’ve been reviewing the research, trying to figure out what we know about collaboration and how to support it. For example, we know that collaboration skills have an impact on how successful somebody is in all kinds of group situations—at school, on the job, and even working with others within a community to address social issues.”

    Teaching Collaboration in the Classroom

    Teaching collaboration skills in the classroom can be harder than expected, Emily says.

    “When a teacher assigns a group project, oftentimes students will divide up the task into smaller pieces, work independently, and then just shove their parts together at the very end.”

    “In that case, the teacher likely had good intentions to help develop collaboration skills in students. But it didn’t happen.”

    Checking all the Boxes

    “Tasks that are truly supportive of collaboration are not easy to create,” Emily says.

    Digging deeper, Emily says there are three sub-components of successful collaboration:

    Interpersonal communication – how you communicate verbally and non-verbally with your teammates.

    Conflict resolution – your ability to acknowledge and resolve disagreements in a manner consistent with the best interest of the team.

    Task management – your ability to set goals, organize tasks, track team progress against goals, and adjust the process along the way as needed.

    Emily says she understands how difficult it can be for educators to check all three boxes.

    Before beginning an assignment, Emily suggests teachers talk to students explicitly about collaboration: what makes a good team member versus what makes a difficult one, as well as strategies for working with others, sharing the load responsibly, and overcoming disagreements.

    During group work, she says, observe students’ verbal and non-verbal behavior carefully and provide real-time feedback.

    “Talk with them about how they’re making decisions as a group, sharing responsibility, and dealing with obstacles,” Emily says.

    “In the classroom, it’s all about the combination of teaching collaboration skills explicitly, giving students opportunities to practice those skills, and providing feedback along the way so those skills continue to develop.”

    “The research shows that students who develop strong collaboration skills get more out of those cooperative learning situations at school.”

    Teaching Collaboration at Home

    Emily is a mother of two daughters, 4 and 8.

    At home, she says, there’s one part of collaboration that is especially valuable: conflict resolution.

    “Most often, it comes in handy on movie nights.”

    “The 8-year-old tends to gravitate towards movies that are a little too scary for the 4-year-old, and the 4-year-old tends to gravitate towards movies that are a little too babyish for the 8-year-old.”

    “It would be easy to intervene and just pick a movie for them, but my husband and I do our best to stay out of it,” Emily says.

    “We’ve established the procedure that they have to negotiate with each other and agree on a movie, and now they have a collaborative routine in place.”

    “They know they get to watch a movie, and we know they’re learning along the way.”

    “Taking turns in conversation is another big one for the four-year-old,” Emily says.

    “She doesn’t like to yield the floor, but it’s something we’re working on.”

    “I know from the research that if my daughters learn these collaboration skills, they are more likely to be successful in their future careers.”

    Sharing the Latest Research

    This week, Emily and two of her colleagues are releasing a research paper entitled “Skills for Today: What We Know about Teaching and Assessing Collaboration.”

    The paper will be jointly released by Pearson and The Partnership for 21st Century Learning (P21), a Washington, DC-based coalition that includes leaders from the business, education, and government sectors.

    “We teamed up on this paper because we both believe collaboration is too important for college, career, and life to leave to chance,” Emily says.

    It is the first in a four-part series on what is known about teaching and assessing “the Four Cs”: collaboration, critical thinking, creativity, and communication.

    “P21 is the perfect partner for this effort,” Emily says.

    “Our partnership signifies a joint commitment to helping stakeholders—educators, parents, policy-makers, and employers—understand what skills are needed to be successful today, and how to teach them effectively at any age.”


    To download the full version of “Skills for Today: What We Know about Teaching and Assessing Collaboration,” click here.

    Three executive summaries of the paper are also available:

    Pearson LearnEd originally published this article on April 24th, 2017, and it was re-posted here with permission.

     
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    Chirons will lead us out of the AI Technopanic (and you can be a chiron)

    By Denis Hurley, Director of Future Technologies, Pearson

    Now more than ever, faster than ever, technology is driving change. The future is an unknown, and that scares us. However, we can overcome these fears and utilize these new technologies to better equip ourselves and steer us in a positive direction.

    Language evolves, and understanding these changes is crucial to learning how to communicate effectively. Like almost all change, it’s best to embrace it rather than try in vain to reject it.

    For example, it appears as though I’m on the losing side in the popular definition of the term “mixed reality.” Sorry, Mr. Milgram — I’ve given in.

    Technopanic

    A technopanic is extreme fear of new technology and the changes that they may bring. Consider the Luddites, who destroyed machinery in the early 19th century. The only constant is change, so they had little success slowing down the Industrial Revolution. In recent history, think of Y2K. This was a little different because we feared that new technology had been embraced without our full understanding of the consequences. Of course, we proceeded into the new millennium without our computer systems plunging civilization back into the Dark Ages.

    Last year, the BBC compiled a list of some of history’s greatest technopanics. One of my favorites was the fear that telephone lines would be used by evil spirits as a means of entry into unsuspecting humans who were just trying to walk grandma through how to use her new light bulbs.

    Our current technopanic is about artificial intelligence and robotics. I am not saying this fear is unreasonable. We don’t know how this will play out, and it appears as though many jobs will no longer be necessary in the near future. However, expending too much energy on fear is not productive, and the most dire outcomes are unlikely. The Guardian produced this clever and amusing short about artificial intelligence:

    Working with New Technology

    The Replacements

    Narrow artificial intelligence is now prevalent, which means programs are better than humans at performing specific tasks. Perhaps the most famous example is IBM’s Deep Blue defeating Garry Kasparov, the world champion of chess at the time — in 1997. Today, complex algorithms outperform humans at driving and analyzing lab results, among many other things.

    Robots, which are stronger, larger (or smaller), and do not get bored or sick or go on strike, have been replacing humans for hundreds of years. They can fly and work through the night for days on end or longer.

    Can Humans Compete?

    Spending too much energy on searching for an answer to this question is a waste of time. We should not see progress as a competitor or as an enemy. These are tools we can use.

    Augmenting Ourselves

    Cyborgs: For many people, this is the word that will come to mind when reading the phrase above above it. While the word makes us think think of science fiction, we have been implanting devices in our bodies for decades. But we can now control artificial limbs directly from our brains, bypassing the spinal cord.

    More “extreme” cyborgs do exist, such as Neil Harbisson, who can hear colors via an antenna implanted in his skull. Transhumanists aim to overcome human limitations through science and technology.

    Becoming a cyborg is not practical, desirable, or even feasible for many of you. It’s also not necessary.

    Cobots: A cobot is a robot designed to work interactively with a human in a shared workspace. Lately, some people have been using the word to refer to the human who works with robots or to the unified entity itself.

    I don’t think the new definition of this word is useful. When referring to a specific type of robot, it has practical use.

    Centaurs: After Kasparov lost to Deep Blue, he understood the potential of humans working with machines. He created a new form of chess called “centaur chess” or “freestyle chess.” Teams can consist of all humans, all algorithms, or a combination (a centaur). The champion has almost always been a centaur. Kasparov saw the value of combining what humans do best with what machines do best.

    We Should Strive to Be Chirons

    In Greek mythology, centaurs tended to be unruly, amoral, and violent. When considering a blend of human abilities and machine abilities, a potential outcome is losing our sense of humanity.

    Chiron was a sensitive and refined centaur in Greek mythology. He taught and nurtured youth, most notably, Achilles.

    In the context of maintaining sanity through this technopanic and, more generally, coping with technological change, Chiron embodies the centaur we should aspire to.

    In regard to how we should manage technology-induced fear (reaction, interaction, and creative acceptance), this would be the third stage. We all need to strive to be chirons. For our own sake, this is critical to lifelong learning. For the sake of our youth, we need to be able to demonstrate constructive and responsible use of technology.

    At Educause 2017, we will explore how new technologies can impact the future of higher education and student success. Discover opportunities to engage with Pearson at the conference and drive these critical conversations.

     

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    Is ed tech really working? 5 core tenets to rethink how we buy, use, and measure new tools

    By Todd Bloom, David Deschryver, Pam Moran, Chrisandra Richardson, Joseph South, Katrina Stevens

    This is the fifth in a series of essays surrounding the EdTech Efficacy Research Symposium, a gathering of 275 researchers, teachers, entrepreneurs, professors, administrators, and philanthropists to discuss the role efficacy research should play in guiding the development and implementation of education technologies. This series was produced in partnership with Pearson, a co-sponsor of the symposium co-hosted by the University of Virginia’s Curry School of Education, Digital Promise, and the Jefferson Education Accelerator. Click through to read the firstsecondthird, and fourth pieces.

    Education technology plays an essential role in our schools today. Whether the technology supports instructional intervention, personalized learning, or school administration, the successful application of that technology can dramatically improve productivity and student learning.

    That said, too many school leaders lack the support they need to ensure that educational technology investment and related activities, strategies, or interventions are evidence-based and effective. This gap between opportunity and capacity is undermining the ability of school leaders to move the needle on educational equity and to execute on the goals of today’s K-16 policies. The education community needs to clearly understand this gap and take some immediate steps to close it.

    The time is ripe

    The new federal K-12 law, the Every Students Succeeds Act, elevates the importance of evidence-based practices in school purchasing and implementation practices. The use of the state’s allocation for school support and improvement illustrates the point. Schools that receive these funds must invest only in activities, strategies, or interventions that demonstrate a statistically significant effect on improving student outcomes or other relevant outcomes.

    That determination must rely on research that is well designed and well implemented, as defined in the law. And once implementation begins, the U.S. Department of Education asks schools to focus on continuous improvement by collecting information about the implementation and making necessary changes to advance the goals of equity and educational opportunity for at-risk students. The law, in short, links compliance with evidence-based procurement and implementation that is guided by continuous improvement.

    New instructional models in higher education rely on evidence-based practices if they are to take root. School leaders are under intense pressure to find ways to make programs more affordable, student-centered, and valuable to a rapidly changing labor market. Competency-based education (the unbundling of certificates and degrees into discrete skills and competencies) is one of the better-known responses to the challenge, but the model will likely stay experimental until there is more evidence of success.

    “We are still just beginning to understand CBE,” Southern New Hampshire University President Paul LeBlanc said. “Project-based learning, authentic learning, well-done assessment rubrics — those are all good efforts, but do we have the evidence to pass muster with a real assessment expert? Almost none of higher ed would.”

    It is easy to forget that the abundance of educational technology is a relatively new thing for schools and higher ed institutions. Back in the early 2000s, the question was how to make new educational technologies viable instructional and management tools. Education data was largely just a lagging measure used for school accountability and reporting.

    Today, the data can provide strong, real-time signals that advance productivity through, for example, predictive analytics, personalized learning, curriculum curating and delivery, and enabling the direct investigation into educational practices that work in specific contexts. The challenge is how to control and channel the deluge of bytes and information streaming from the estimated $25.4 billion K-16 education technology industry.

    “It’s [now] too easy to go to a conference and load up at the buffet of innovations. That’s something we try hard not to do,” said Chad Ratliff, director of instructional programs for Virginia’s Albemarle County Schools. The information has to be filtered and vetted, which takes time and expertise.

    Improving educational equity is the focus of ESSA, the Higher Education Act, and a key reason many school leaders chose to work in education. Moving the needle increasingly relies on evidence-based practices. As the Aspen Institute and Council of Chief State School Officers point out in a recent report, equity means — at the very least — that “every student has access to the resources and educational rigor they need at the right moment in their education despite race, gender, ethnicity, language, disability, family background, or family income.”

    Embedded in this is the presumption that the activities, strategies, or interventions actually work for the populations they intend to benefit.

    Educators cannot afford to invest in ineffective activities. At the federal K-12 level, President Donald Trump is proposing that, next year, Congress cut spending for the Education Department and eliminate many programs, including $2.3 billion for professional development programs, $1.2 billion for after-school funds, and the new Title IV grant that explicitly supports evidence-based and effective technology practices in our schools.

    Higher education is also in a tight spot. The president seeks to cut spending in half for Federal Work-Study programs, eliminate Supplemental Educational Opportunity grants, and take nearly $4 million from the Pell Grant surplus for other government spending. At the same time, Education Secretary Betsy DeVos is reviewing all programs to explore which can be eliminated, reduced, consolidated, or privatized.

    These proposed cuts and reductions increase the urgency for school leaders to tell better stories about the ways they use the funds to improve educational opportunities and learning outcomes. And these stories are more compelling (and protected from budget politics) when they are built upon evidence.

    Too few resources

    While this is a critical time for evidence-based and effective program practices, here is the rub: The education sector is just beginning to build out this body of knowledge, so school leaders are often forging ahead without the kind of guidance and research they need to succeed.

    The challenges are significant and evident throughout the education technology life cycle. For example, it is clear that evidence should influence procurement standards, but that is rarely the case. The issue of “procurement standards” is linked to cost thresholds and related competitive and transparent bidding requirements. It is seldom connected with measures of prior success and research related to implementation and program efficacy. Those types of standards are foreign to most state and local educational agencies, left to “innovative” educational agencies and organizations, like Digital Promise’s League of Innovative Schools, to explore.

    Once the trials of implementation begin, school leaders and their vendors typically act without clear models of success and in isolation. There just are not good data on efficacy for most products and implementation practices, which means that leaders cannot avail themselves of models of success and networks of practical experience. Some schools and institutions with the financial wherewithal, like Virginia’s Albemarle and Fairfax County Public Schools, have created their own research process to produce their own evidence.

    In Albemarle, for example, learning technology staff test-bed solutions to instructional and enterprise needs. Staff spend time observing students and staff using new devices and cloud-based services. They seek feedback and performance data from both teachers and students in response to questions about the efficacy of the solution. They will begin with questions like “If a service is designed to support literacy development, what variable are we attempting to affect? What information do we need to validate significant impact?” Yet, like the “innovators” of procurement standards, these are the exceptions to the rule.

    And as schools make headway and immerse themselves in new technologies and services, the bytes of data and useful information multiply, but the time and capacity necessary to make them useful remains scarce. Most schools are not like Fairfax and Albemarle counties. They do not have the staff and experts required to parse the data and uncover meaningful insights into what’s working and what’s not. That kind of work and expertise isn’t something that can be simply layered onto existing responsibilities without overloading and possibly burning out staff.

    “Many schools will have clear goals, a well-defined action plan that includes professional learning opportunities, mentoring, and a monitoring timeline,” said Chrisandra Richardson, a former associate superintendent for Montgomery County Public Schools in Maryland. “But too few schools know how to exercise a continuous improvement mindset, how to continuously ask: ‘Are we doing what we said we would do — and how do we course-correct if we are not?’ ”

    Immediate next steps

    So what needs to be done? Here are five specific issues that the education community (philanthropies, universities, vendors, and agencies) should rally around.

    • Set common standards for procurement. If every leader must reinvent the wheel when it comes to identifying key elements of the technology evaluation rubric, we will ensure we make little progress — and do so slowly. The sector should collectively secure consensus on the baseline procurement standards for evidence-based and research practices and provide them to leaders through free or open-source evaluative rubrics or “look fors” they can easily access and employ.
    • Make evidence-based practice a core skill for school leadership. Every few years, leaders in the field try to pin down exactly what core competencies every school leader should possess (or endeavor to develop). If we are to achieve a field in which leaders know what evidence-based decision-making looks like, we must incorporate it into professional standards and include it among our evaluative criteria.
    • Find and elevate exemplars. As Charles Duhigg points out in his recent best seller Smarter Faster Better, productive and effective people do their work with clear and frequently rehearsed mental models of how something should work. Without them, decision-making can become unmoored, wasteful, and sometimes even dangerous. Our school leaders need to know what successful evidence-based practices look like. We cannot anticipate that leader or educator training will incorporate good decision-making strategies around education technologies in the immediate future, so we should find alternative ways of showcasing these models.
    • Define “best practice” in technology evaluation and adoption. Rather than force every school leader to develop and struggle to find funds to support their own processes, we can develop models that can alleviate the need for schools to develop and invest in their own research and evidence departments. Not all school districts enjoy resources to investigate their own tools, but different contexts demand differing considerations. Best practices help leaders navigate variation within the confines of their resources. The Ed Tech RCE Coach is one example of a set of free, open-source tools available to help schools embed best practices in their decision-making.
    • Promote continuous evaluation and improvement. Decisions, even the best ones, have a shelf life. They may seem appropriate until evidence proves otherwise. But without a process to gather information and assess decision-making efficacy, it’s difficult to learn from any decisions (good or bad). Together, we should promote school practices that embrace continuous research and improvement practices within and across financial and program divisions to increase the likelihood of finding and keeping the best technologies.

    The urgency to learn about and apply evidence to buying, using, and measuring success with ed tech is pressing, but the resources and protocols they need to make it happen are scarce. These are conditions that position our school leaders for failure — unless the education community and its stakeholders get together to take some immediate actions.

    This series is produced in partnership with Pearson. The 74 originally published this article on September 11th, 2017, and it was re-posted here with permission.