This so-called “theory” does not work with the basic principle of “people are the ones who learn” furthermore we can see the results of such learnings flowing in a day to day life. Some of these learning results may leave some record of it and since the invention of writing this ability to store expanded exponentially to texts images sounds etc. in different formats and available to those who can decode those records.
Thus Learning is only human and may NOT reside in non-human appliances.
Diversity of opinions may enhance or expand the learning of a given learner and data is its manifestation. But most importantly wider access to the diversity of opinions or the data generated and stored, expand the reach of the learning process.
This process generates nodes/points of contact between learners and opinions and nurturing and keeping connections (between nodes and data) is needed to facilitate continual learning, and also is good manners.
In a world with an immense capacity of recording the variety of opinions, the ability to see connections between fields ideas and concepts becomes a core skill.
Choosing what to learn and the meaning of incoming information is seen through the lens of the learner's reality. Where the right answer is understood (cognitivism), constructed (constructivism) acted (behaviourism) dialogued (Freire) through all the nodes and mediums that are at the disposal of the learner.
The rights or wrongs of this learning process goes beyond the scope of the process, because right or wrong lies in the eye of the beholder and escapes any learning theory.
Trying to develop a course from these principles gives a strong position on the study of technology and their interactions, a need of understanding contexts of where these interactions may happen is a must as it is not the same to teach performing arts, maths, or biological sciences.
whether you found connectivism useful
Only partially to have a framework where to organize data driven information from strong theoretical hypothesis to research.
Whether connectivism was in conflict with the traditional concept of a course.
Connectivism is a tool useful to analyze. as “theory” however is not much more than constructivism with machine aid. Is the machine aid powerful? Very much. Enough to upgrade this capacity to ontology. No, propper learning theories need to be applied.
What it would be like to study or teach a course based around connectivism.
The attempt made by the design of this very module in Open University proved to me to be chaotic at best and frustrating as a norm.
Activity 19: Implementing connectivism, really?
This so-called “theory” does not work with the basic principle of “people are the ones who learn” furthermore we can see the results of such learnings flowing in a day to day life. Some of these learning results may leave some record of it and since the invention of writing this ability to store expanded exponentially to texts images sounds etc. in different formats and available to those who can decode those records.
Thus Learning is only human and may NOT reside in non-human appliances.
Diversity of opinions may enhance or expand the learning of a given learner and data is its manifestation. But most importantly wider access to the diversity of opinions or the data generated and stored, expand the reach of the learning process.
This process generates nodes/points of contact between learners and opinions and nurturing and keeping connections (between nodes and data) is needed to facilitate continual learning, and also is good manners.
In a world with an immense capacity of recording the variety of opinions, the ability to see connections between fields ideas and concepts becomes a core skill.
Choosing what to learn and the meaning of incoming information is seen through the lens of the learner's reality. Where the right answer is understood (cognitivism), constructed (constructivism) acted (behaviourism) dialogued (Freire) through all the nodes and mediums that are at the disposal of the learner.
The rights or wrongs of this learning process goes beyond the scope of the process, because right or wrong lies in the eye of the beholder and escapes any learning theory.
Trying to develop a course from these principles gives a strong position on the study of technology and their interactions, a need of understanding contexts of where these interactions may happen is a must as it is not the same to teach performing arts, maths, or biological sciences.
whether you found connectivism useful
Only partially to have a framework where to organize data driven information from strong theoretical hypothesis to research.
Whether connectivism was in conflict with the traditional concept of a course.
Connectivism is a tool useful to analyze. as “theory” however is not much more than constructivism with machine aid. Is the machine aid powerful? Very much. Enough to upgrade this capacity to ontology. No, propper learning theories need to be applied.
What it would be like to study or teach a course based around connectivism.
The attempt made by the design of this very module in Open University proved to me to be chaotic at best and frustrating as a norm.