Five domains of core functionality:
- interoperability and integration_the system has to be open to allow different kinds of expressions (…) interoperability has four dimensions: transferable content, easiness of use, learning environment as a source of data, creation of interoperability standards.
- personalization_it is highly dependant interoperability (…) it encompasses two aspects: the configuration (at all levels: individual, departmental, divisional, institutional and consortium) and outfitting of the learning environment and adaptive learning (coaching and suggestions specific learners’ needs)
- analytics, advising & learning assessment_Data: Dispositional, Course Activity and Engagement, Student Artifacts, all intended here in two dimensions: learning analytics and integrated planning as in institutional capability to create shared ownership
- collaboration_as a lead design goal (…) it doesn’t simply involve peers but also institutional collaborations (…) the usual walled garden system allows more freedom for content sharing but learning in social settings seems to be of great value
- accessibility & universal design_ for inclusion, addressing accessibility means framing the learner both as receiver and as creator of content
Full Report available here
Image available here
Oh, I even love the word itself, but what are they, really? Well, it is a type of artificial neuron that takes several binary inputs and produces a single binary output.
What one needs to know are the binary inputs and their relative weight in the decision-making process (…) by varying the weights and the threshold, we can get different models of decision-making (…) a perceptron can weigh up different kinds of evidence in order to make decisions (…) another way perceptrons can be used is to compute the elementary logical functions we usually think of as underlying computation, functions such as
Michael Nielsen, Neural Networks and Deep Learning, Chapter 01, full book available here
References & Image available here
Full Report available here
Connectomics uses advanced brain imaging techniques to identify and map the intricate web of white matter (communication lines) that link gray matter (neural brain volume). Mapping such networks occurs at the level of synaptic connections. This research began in the 70’s but has recently gained interest thanks to technical and computational advances that automate the collection of electron-microscopy data and offer the possibility of mapping even large mammalian brains. “Connectome” was coined in analogy with the “genome”—the entirety of an organism’s hereditary information—studied by biologists. To imagine how the story of the connectome will unfold over the next few decades, it’s helpful to recall the history of the genome. Connectomics is more challenging than genomics; the structure of the brain is extraordinarily complex. With an electron microscope, the branches of neurons can be seen clearly, even when they are tightly packed together in the brain.
People with high creative capacity have more connections between their left and their right hemispheres of their cerebral cortex.
- Highly Creative People Have Well-Connected Brain Hemispheres, full article and image available here
- The big data challenges of connectomics, available here
- Connectomics: Tracing the Wires of the Brains, available here
Blogs: open space for reflection/ forum for discussions/ portfolio of completed assignments/ opening up courses to a wider group of participants.
Blogs’major applications: maintaining a learning journal; recording personal life; expressing emotions; communicating with others; assessment and; managing tasks.
Blogosphere: blog interconnections as a. a social network and b. an ecosystem
Blog Benefits in learning environments: reading other blogs; receiving feedback on one’s own blog
Blog and Personal Learning Environment (PLE): use for personal info management; use for social interaction and collaboration; info aggreggation and management
Blog problems: fragmented discussions/ a lack of coordination structures/ weak support for awareness/ danger of over-scripting
Poldoja, H., Duval, E. & Leinonen, T. (2016). Design and evaluation of an online tool for open learning with blogs, in Australasian Journal of Educational Technology, Vol 32, No 2, pp. 61-81.
Image available here
Psychometrics, sometimes also called psychographics, focuses on measuring psychological traits, such as personality. In the 1980s, two teams of psychologists developed a model that sought to assess human beings based on five personality traits, known as the “Big Five.” These are: openness (how open you are to new experiences?), conscientiousness (how much of a perfectionist are you?), extroversion (how sociable are you?), agreeableness (how considerate and cooperative you are?) and neuroticism (are you easily upset?). Based on these dimensions—they are also known as OCEAN, an acronym for openness, conscientiousness, extroversion, agreeableness, neuroticism—we can make a relatively accurate assessment of the kind of person in front of us. This includes their needs and fears, and how they are likely to behave. The “Big Five” has become the standard technique of psychometrics. But for a long time, the problem with this approach was data collection, because it involved filling out a complicated, highly personal questionnaire. Then came the Internet. And Facebook.