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Doris Reeves-Lipscomb

Exploring Alternative Visions in Assessing Informal Learning Environments | DML Hub - 0 views

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    Interview with Vera Michalchik published by DML Research Hub, funded by the McArthur Foundation. Michalchick heads up research on Informal Learning Environments in SRI International's Center for Technology in Learning. "I'm paraphrasing Richard Feynman who said that the more that we have a monoculture of learning, the less chance we have of producing creative, innovative, capable thinkers. We really want diverse learning environments, and assessment is always the tail that wags the dog. People are beholden to systems of accountability, and what knowledge is valued and how that knowledge is valued really shows up in an assessment system. Besides reducing the diversity of learning environments by having common metrics, we short-change a natural process. This is what we mention in the Naturalizing Assessment article. " Offers pros and cons on badging system (is disinclined but open-minded about their usage) and suggests various kinds of informal learning assessments that do not following the standardized testing model such as: continual monitoring of where kids are in the program, for when kids are "getting it", "minimally invasive studies of behavior and performance" to support documentation of participation and capacity building, ethnology, video documentation, data mining methods of video archives, embedded assessment in learning games, etc.
Doris Reeves-Lipscomb

Intended Purposes Versus Actual Function of Digital Badges | HASTAC - 0 views

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    "The Varied Functions of Badges" summary from HASTAC discussion, 9/2012 My interest in the functions of badges was spurred along when the MacArthur Foundation asked for help documenting the design principles for using digital badges that emerge across the 30 projects underway by the awardees in their Badges for Lifelong Learning project. We needed to come up with a manageable number of categories. Here is what we came up with: Recognizing Learning. This is the most obvious and arguably the primary function of badges. David Wiley has argued cogently that this should be the primary purpose of badges. If we focus only on purposes, then he may well be right. His point is that badges are credentials and not assessments. This is also consistent with the terrifically concise definition in Seven Things You Should Know About Badgesby Erin Knight and Carla Casilli. Assessing Learning. Nearly every application of digital badges includes some form of assessment. These assessments have either formative or summative functions and likely have both. In some cases, these are simply an assessment of whether somebody clicked on a few things or made a few comments. In other cases, there might be a project or essay that was reviewed and scored, or a test that was graded. In still other cases, peers might assess an individual, group, or project as badgeworthy. Motivating Learning. This is where the controversy comes in. Much of the debate over badges concerns the well-documented negative consequences of extrinsic incentive on intrinsic motivation and free choice engagement. This is why some argue that we should not use badges to motivate learning. However, if we use badges to recognize and assess learning, they are likely to impact motivation. So, we might as well harness this crucial function of badges and study these functions carefully while searching for both their positive and negative consequences for motivation. Evaluating Learning. The final category of
Doris Reeves-Lipscomb

Badges for Lifelong Learning | | Scoop.it - 0 views

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    Great page on badges that could guide our WLStudio work
Doris Reeves-Lipscomb

This is Why Kids Need to Learn to Code | DMLcentral - 0 views

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    Stumbled into this blog post on why kids need to learn to code by Doug Belshaw, November 28, 2013 on Digital Media + Learning: The Power of Participation Love this rationale for why learning to code is important because I believe these arguments apply to adults acquiring greater digital literacy as well--it makes the reasons explicit. Coding is defined as learning to read and write a machine language; some are easier than others just like spoken language is. Reasons to learn to code 1. Problem-solving 2. (digital) confidence 3. Understanding the world (realizing that you can not only change and influence things but build things of value to others) In the comments, readers suggested these additional reasons: design thinking, understanding systems, knowing when to amend or break them and soft skills such as sharing your work, receiving feedback and critique to build diplomacy and negotiation skills.
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