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"We need to provide research and evidence-based knowledge to publishers on what kind of devices (iPad, Kindle, print) should be used for what kind of content; what kinds of texts are likely to be less hampered by being read digitally, and which might require the support of paper,"

is links to the point made by Goodyear et al (2014) Unless learning is very closely supervised and directed (which it rarely is), there will usually be some slippage between task and activity, for good and bad reasons. This is important to acknowledge, when designing, because what people learn is a consequence of their actual activity, and therefore only indirectly a result of the task set for them. Tasks are designable, activities are not – they are emergent. (p. 1

Goodyear et al (2014) pick up on the term affordance as both important, but also as “a term that is also very widely critiqued and contested” (p. 137). The idea is that particular technologies afford different possibilities dependent on people’s perceptions of a technology. But an affordance isn’t a single set of possibilities seen by every person. Taking what Goodyear et al (2014) describe as a “relational-materialist” the idea of affordance becomes much more complex and emergent.

Integrating technology successfully in education is not so much a matter of choosing the right device, the right amount of time to spend with it, the best software or the right digital textbook. The key elements for success are the teachers, school leaders and other decision makers who have the vision, and the ability, to make the connection between students, computers and learning.I would encourage all educators to invest in their professional knowledge about how technology can improve their work practices.

e expected to be

The following are several specific examples of what the open standards and services must enable to make this new architecture for learning a reality: Digital content and applications must be easily, quickly (ideally, within a few minutes versus months), and seamlessly integrated into any platform that supports a set of vendor-neutral open standards and, importantly, are not trapped inside a single platform. User, course, and context information must be synchronized among selected applications so that neither the manual transfer of information nor multiple logins to different applications are required—thus making set-up and use of new software much easier for all concerned. Data that describes usage, activities, and outcomes must flow from learning content apps to the enterprise system of record, learning platforms, and analytics platforms. Systems, services, and tools must be virtualized and must increasingly move toward the elastic computing model that enables sharing scenarios across systems or other federations of users.Imagine what would happen if CIOs could safely add services and applications in a matter of days instead of months, if instructors could seamlessly combine these tools into their courses with one click, and if analytics data would begin to flow immediately thereafter. This new IT architecture would revolutionize the support for academic technology in the same way that the app movement has revolutionized what is available on mobile devices. A key difference with the new IT architecture, however, is that these educational apps are built using standards adopted and managed by the educational community and would be connected into the educational enterprise IT infrastructure.

The rise of the MOOC illustrates how important innovations often happen outside of established channels: by faculty who, interested in innovation, put together their own technology solutions outside their college or university. This should be a wake-up call for the higher education community to do better. Enterprise IT organizations need to enable such innovation, not stand in its way.

are we preparing students to learn without us? How can we shift curriculum and pedagogy to more effectively help students form and answer their own questions, develop patience with uncertainty and ambiguity, appreciate and learn from failure, and develop the ability to go deeply into the subjects about which they have a passion to learn

writing blog posts

model the learning process together

Assessment changes as well. Donhauser says that the emphasis moves to assessing in the moment rather than at the end of a book or unit. "Rather than having a defined product that I receive from 25 students," she says, "I receive 25 individual assignments with their own unique content, insights, and styles." Using Google Docs, students continually update their progress, and she provides regular feedback. Students also give one another feedback on their plans as they go. Everyone follows a rubric that covers such areas as standards, learning outcomes, artifact explanation, blog posts, learning activities, work ethic, and research. Personalized learning like this requires students to reflect deeply on their effort and assess their work and progress, a fundamental part of developing the skills and dispositions to continue learning after the class ends.

the truly personal, self-directed learning that we can now pursue in online networks and communities differs substantially from the "personalized" opportunities that some schools are opening up to students. Although it might be an important first step in putting students on a path to a more self-directed, passionate, relevant learning life, it may not bring about the true transformation that many see as the potential of this moment.