Giving my two cents
Use case, let's say for health care workers
Health care workers need to find the latest relevant health information on specific topics. Most of the knowledge is screened by WHO (world health organization or other health expert institutes), however it is hard to stay on top of those topics that are not put into health guidelines. This pushes those professionals in screening for the 'best' solutions themselves.
It would be interesting if all the networks and places these health care workers visit, are screened and mapped, in order to see which network is used the most of getting to relevant information. And additionally to see whether there are certain health care workers that come up more frequently than others on having correct health information within a certain medical field. If so, you could locate top experts (that possibly do not have a formal title for their knowledge capital) and gather them in a 'knowledge center'. Making it easier for the other health care workers to find relevant information constructed by information production of these resources and people.
analytics behind
Keeping tracks of digital movements, time in reading resources (thinking that it takes more time to read something of interest, then something which is skimmed for possible interesting information, making the first option more relevant to pinpoint knowledge quality).
It would be an aid on finding relevant, field-specific information to develop professional knowledge.
Inge Ignatia de Waard
Posts made by Inge Ignatia de Waard
A great idea to work with use cases. And it would definitely help with self-regulated learning.
The resources put forward in this part of the course all point to the same strategy: interdisciplinary data workers getting together, which will lead to new interpretations and applications. As such educational institutions will benefit from cross-polination on this topic.
Classification (especially for living objects), clustering all the information and removing ambiguity of terms is indeed an enormous task (language, semantics, hypes, cornering concepts...), yet at the same time we are already getting used to these methods (e.g. using Goggles). So the use of data results is immediate (which affects what needs to be learned, as old/new knowledge can change rapidly). Professional learners will be able to get to relevant up-to-date information much quicker.
The benefits for learning are enormous: it would not only provide me with personalized, tailored content that fits my current hunger for knowledge, it would also allow me to stay in close contact with those who provide that information and share it amongst those who have a similar interest. The professional groups will shift from a more localized network to real global networks that learn through connectivity (like we do here).
There is not only the personal learning which will benefit from the semantic web (getting relevant information ASAP), but also for professional groups, etcetera.
We - as educators or trainers - might even be in the possibility of creating a course which redesigns itself depending on the prerequisites and skills of a particular learner, thus giving her/him a much smoother learning path, without leaving the learning objective itself.
This approach of semantic learning might even take us out of the artificially divided classrooms. If we could cater lessons to a variety of learners, they would not be put into classes depending their age, but depending their ability to grasp what is necessary.
It will also facilitate research: just imagine, that you want to launch a new project in your scientific field? You need to write a proposal, and with an algorithm (AI friend) which searches in your scientific field (e.g.) scholar.google and cross-references this to the data bank of EU/WHO or B.& B. Gates foundation for funding that was granted... you could be on your way to get a funded post-doctorate or project going with much more ease.
However, I can see a potential downside: how much will it cost to access it? Will learning then turn towards: personalized and tailored to the ones that can afford it, and slow with more time demands for those with less money?
Overall, for me the semantic web will impact learning and ... innovation in a profound way.
Classification (especially for living objects), clustering all the information and removing ambiguity of terms is indeed an enormous task (language, semantics, hypes, cornering concepts...), yet at the same time we are already getting used to these methods (e.g. using Goggles). So the use of data results is immediate (which affects what needs to be learned, as old/new knowledge can change rapidly). Professional learners will be able to get to relevant up-to-date information much quicker.
The benefits for learning are enormous: it would not only provide me with personalized, tailored content that fits my current hunger for knowledge, it would also allow me to stay in close contact with those who provide that information and share it amongst those who have a similar interest. The professional groups will shift from a more localized network to real global networks that learn through connectivity (like we do here).
There is not only the personal learning which will benefit from the semantic web (getting relevant information ASAP), but also for professional groups, etcetera.
We - as educators or trainers - might even be in the possibility of creating a course which redesigns itself depending on the prerequisites and skills of a particular learner, thus giving her/him a much smoother learning path, without leaving the learning objective itself.
This approach of semantic learning might even take us out of the artificially divided classrooms. If we could cater lessons to a variety of learners, they would not be put into classes depending their age, but depending their ability to grasp what is necessary.
It will also facilitate research: just imagine, that you want to launch a new project in your scientific field? You need to write a proposal, and with an algorithm (AI friend) which searches in your scientific field (e.g.) scholar.google and cross-references this to the data bank of EU/WHO or B.& B. Gates foundation for funding that was granted... you could be on your way to get a funded post-doctorate or project going with much more ease.
However, I can see a potential downside: how much will it cost to access it? Will learning then turn towards: personalized and tailored to the ones that can afford it, and slow with more time demands for those with less money?
Overall, for me the semantic web will impact learning and ... innovation in a profound way.
hi Gillian, Kae and all,
Great thoughts, and I agree with you that the reason most of us teach or train is to get people more skilled or knowledgeable, or to increase their performance (so they can have more spare time, yes, that would be why I would increase performance :-)
But in order to achieve this, I think learning analytics should be followed in the long-term. I do not think short-term analytics are capable of directing instructors or trainers towards an improved scaffolding or learning-support position that really makes a difference. There are too many factors involved in learning/teaching, which is why I think only a long-term analysis can result in 'best practices' for learners and teachers. Short-term analytics can help with situating learners that are in need for extra support, but not on how the whole group could benefit.
Inge
Great thoughts, and I agree with you that the reason most of us teach or train is to get people more skilled or knowledgeable, or to increase their performance (so they can have more spare time, yes, that would be why I would increase performance :-)
But in order to achieve this, I think learning analytics should be followed in the long-term. I do not think short-term analytics are capable of directing instructors or trainers towards an improved scaffolding or learning-support position that really makes a difference. There are too many factors involved in learning/teaching, which is why I think only a long-term analysis can result in 'best practices' for learners and teachers. Short-term analytics can help with situating learners that are in need for extra support, but not on how the whole group could benefit.
Inge
oh Adam, I really like your storytelling application in combination with social media. really great idea.