Behaviorism, Cognitivism, Constructivism and other growing theories such as Actor-Network and Connectivism are circulating in the educational field. For each, there are allies who stand behind research evidence and consistency of observation. Meantime, those existing theories dominate the field until the background is changed or new concrete evidence proves their insufficiencies. Connectivists claim that the background or the general climate has recently changed: a new generation of researchers, connectivists propose a new way of conceiving knowledge. According to them, knowledge is a network and learning is a process of exploring this network. Other researchers find this notion either not clear or not new and probably, with no effect in the education field. This paper addresses a foggy understanding of knowledge defined as
a network and the lack of resources talking about this topic. Therefore, it tries to clarify what it means to define knowledge as a network and in what way it can affect teaching and learning.
Connectivism has been developed by George Siemens and Stephen Downes based on their analysis of the limitations of traditional learning theories to explain the effect technology has had on how we live, how we communicate, and how we learn.
Digital Citizenship & Media Literacy: A presentation for studentsLarry Magid
A talk for middle school and high school students by ConnectSafely.org's Larry Magid about digital literacy, digital citizenship, cyberbullying, sexting and how to thrive online.
Understanding knowledge network, learning and connectivismAlaa Al Dahdouh
Behaviorism, Cognitivism, Constructivism and other growing theories such as Actor-Network and Connectivism are circulating in the educational field. For each, there are allies who stand behind research evidence and consistency of observation. Meantime, those existing theories dominate the field until the background is changed or new concrete evidence proves their insufficiencies. Connectivists claim that the background or the general climate has recently changed: a new generation of researchers, connectivists propose a new way of conceiving knowledge. According to them, knowledge is a network and learning is a process of exploring this network. Other researchers find this notion either not clear or not new and probably, with no effect in the education field. This paper addresses a foggy understanding of knowledge defined as a network and the lack of resources talking about this topic. Therefore, it tries to clarify what it means to define knowledge as a network and in what way it can affect teaching and learning.
Does artificial neural network support connectivism’s assumptions?Alaa Al Dahdouh
Connectivism was presented as a learning theory for the digital age and connectivists claim that recent developments in Artificial Intelligence (AI) and, more specifically, Artificial Neural Network (ANN) support their assumptions of knowledge connectivity. Yet, very little has been done to investigate this brave allegation. Does the advancement in artificial neural network studies support connectivism’s assumptions? And if yes, to what extent? This paper addresses the aforementioned question by tackling the core concepts of ANN and matching them with connectivist's assumptions. The study employed the qualitative content analysis approach where the researcher started with purposely selected and relatively small content samples in connectivism and ANN literature. The results revealed that ANN partially supports connectivism’s assumptions but this does not mean that other learning theories such as behaviorism and constructivism are not supported as well. The findings enlighten our understanding of connectivism and where it may be applied.
Connectivism has been developed by George Siemens and Stephen Downes based on their analysis of the limitations of traditional learning theories to explain the effect technology has had on how we live, how we communicate, and how we learn.
Digital Citizenship & Media Literacy: A presentation for studentsLarry Magid
A talk for middle school and high school students by ConnectSafely.org's Larry Magid about digital literacy, digital citizenship, cyberbullying, sexting and how to thrive online.
Understanding knowledge network, learning and connectivismAlaa Al Dahdouh
Behaviorism, Cognitivism, Constructivism and other growing theories such as Actor-Network and Connectivism are circulating in the educational field. For each, there are allies who stand behind research evidence and consistency of observation. Meantime, those existing theories dominate the field until the background is changed or new concrete evidence proves their insufficiencies. Connectivists claim that the background or the general climate has recently changed: a new generation of researchers, connectivists propose a new way of conceiving knowledge. According to them, knowledge is a network and learning is a process of exploring this network. Other researchers find this notion either not clear or not new and probably, with no effect in the education field. This paper addresses a foggy understanding of knowledge defined as a network and the lack of resources talking about this topic. Therefore, it tries to clarify what it means to define knowledge as a network and in what way it can affect teaching and learning.
Does artificial neural network support connectivism’s assumptions?Alaa Al Dahdouh
Connectivism was presented as a learning theory for the digital age and connectivists claim that recent developments in Artificial Intelligence (AI) and, more specifically, Artificial Neural Network (ANN) support their assumptions of knowledge connectivity. Yet, very little has been done to investigate this brave allegation. Does the advancement in artificial neural network studies support connectivism’s assumptions? And if yes, to what extent? This paper addresses the aforementioned question by tackling the core concepts of ANN and matching them with connectivist's assumptions. The study employed the qualitative content analysis approach where the researcher started with purposely selected and relatively small content samples in connectivism and ANN literature. The results revealed that ANN partially supports connectivism’s assumptions but this does not mean that other learning theories such as behaviorism and constructivism are not supported as well. The findings enlighten our understanding of connectivism and where it may be applied.
Presentación elaborada y compartida por George Siemens en su conferencia en Buenos Aires, invitado por Fundación Telefónica de Argentina, el 12 de septiembre de 2012.
Connectivism: Education & Artificial IntelligenceAlaa Al Dahdouh
This work is based on a scientific paper: Does Artificial Neural Network Support Connectivism’s Assumptions?
Connectivism was presented as a learning theory for the digital age and connectivists claim that recent developments in Artificial Intelligence (AI) and, more specifically, Artificial Neural Network (ANN) support their assumptions of knowledge connectivity. Yet, very little has been done to investigate this brave allegation. Does the advancement in artificial neural network studies support connectivism’s assumptions? And if yes, to what extent? This paper addresses the aforementioned question by tackling the core concepts of ANN and matching them with connectivist's assumptions.
Slides from my Keynote at ALT-C in Manchester, UK Sept. 2009. Two major topics - Jon Dron and my Taxonomy of the Many (review) and a new slides on Open Scholarship. CC but attribution requested
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This is the first 6 months findings from a professor trying to implement an online social network for doctoral students that she mentors in education and business.
Futures of a Complex World - Futures of EducationHeiner Benking
Futures of a Complex World https://futuresconference2017.wordpress.com
Session Futures of Education, Art and Cultural Studies, Turku Tue 13 June 10:45- 12:00
https://futuresconference2017.wordpress.com/presentations/presentations-from-session-5/
FUTURES of learning and negotiation, policy-making,
and awareness/consciousness
Heiner Benking, journalist/futurist/activist/tutor
Member of the Advisory Board of the European Citizen Sciences Association (ECSA)
Tutor, Future Worlds Center (FWC), Re-Inventing Democracy project, UN-Democracy Fund (UNDEF)
Academic Board member of the International Encyclopedia of Systems and Cybernetics
The paper / presentation explores the fate of concrete solutions to introduce a combination of Solution Spaces in times of exploding Problem Spaces.
Innovative presentation and conceptualization methods were introduced at the ‘Communication Camp’ organized at the WFSF conference in Turku in 1993 and covered in the newsletter ‘Knowledge Spiral’ of the Youth and in the Finish weekly „HELSINGIN SANOMAT“.
These new communication methods have since been widely used and therefore we can now reflect on their successes, challenges, and possibilities for further use.
The key concepts included:
a) Open-Forum/Open-Space: a ‘Magic Roundtable’ conversation method which has led to online dialogues as well as ‘live encounters’, to encourage empathy in communication, as well as multi-track diplomacy and peacemaking efforts for community building.
b) Cognitive Panorama: Immersive spaces, externally oriented workspaces of the mind for spacial Erörterungen (deliberations and encounters) for an extra shared overview.
The session will revisit the 10 theses from 24 years ago: “our view of life is too flat”, will try to expand the themes, introduces “Out of the Box thinking and Paradigm-mapping” seminars, and critically review developments, looking back and forward.
We will discuss democracy, education, the future of the media, as well as the need to revisit the intersection of systems and models, imagination and shared augmented virtual realities, complexity and perplexity, signs and senses, concepts/signs and percepts/senses, ethics and policy-making.
TURKU 2017: www.futuresconference.fi/2017
TURKU 1993: (WFSF) benking.de/education.htm
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
1. Understanding
Knowledge Network
and Connectivism
Alaa Aldahdouh António Osório Susana Caires
Aldahdouh, A. A., Osório, A. J., & Caires, S. (2015). Understanding knowledge
network, learning and connectivism. International Journal of Instructional
Technology and Distance Learning, 12(10), 3–21.
The Downes Prize 2015
2. What is a Network?
A network refers to a set of nodes
connected with relationships.
3. What is a Node?
A node refers to any object than can be
connected.
Connectivism recognize three type of
nodes:
Neural
Conceptual
External
4. What is a Relationship?
A Relationship refers to the connection
between objects.
Directed Connection
Self –join ConnectionGraded Connection
5. What is a Pattern?
The pattern refers to a set of connections
appearing together as a single whole.
The connection between P and R cannot interpreted as a
merely single relation between two nodes.
Electrical power formula in a DC circuit:
7. Conceptual Node
There is no physical instance named
'liquid'. The liquid is just a concept in
human mind to gather relatively similar
instances such as water, oil and ethanol.
The liquid is a concept that consists of a network
of sub-nodes connected to each other
with 'similar to' relationships.
8. External Node
Clustering or dividing the network into sub-networks
depends on the number of connections between
elements. It is heavily connected within a sub-network
and loosely connected between sub-networks.
The real network is much more complex.
For example, a student is connected to
other networks such as friends and family.
9. Flow of Information
Neural network send messages back and forth using electrochemical nerve impulses.
Each group of neurons is responsible for processing specific kinds of phenomena, for
example; computing verticality and quantity.
When two groups of neurons in the brain
are activated together over and over again,
they will find a short path that links them
together.
10. Flow of Information
Connectivism sees the node in conceptual network as ideas, thoughts and concepts. The
information, events and experiences flow through one's ideas, thoughts and concepts in the
process of thinking, dreaming, imagining and even while living and experiencing the real life.
Student’s concepts when
updated regularly
Student’s concepts when not
updated regularly
11. Emergent Property
A compounded node is larger than
the sum of its inner nodes.
Hydrogen gas is highly
flammable
Oxygen gas is necessary for
combustion Water molecule (H2O) is a
liquid, which is used for
extinguishing fire!
12. Node Emergence
As new node emerges, other node
may disappear.
People
New Node
Of course, this is bad news for all nodes
using Windows 98 as a hub: dealers,
programmers, authors and educators.
13. Learning as Pattern Recognition
In Connectivism, the structure of the knowledge is described as a network.
The network is a set of nodes connected to each other. These connections may
not be seen as a singular link between two nodes. Instead, they are more like
patterns: groups of relationships that come together as a single whole. The
network is not static; it is dynamic and those patterns may change over time.
A Learning is a continuous process of network exploration and pattern
finding; it is a process of patterns' recognition.
14. Learning Model in Former Theories
Sequential:
New Phenomenon
Scientists
Debate
Content
Teachers & students
15. Learning Model in Former Theories
In this model, the content plays the
central role: it is the aim the scientists
generate; and it is the product the
learners consume or put in their mind.
This model worked well for a long
time, but not anymore, according to
connectivism.
16. Connectivism Learning Model
The knowledge is a jellied creature,
which changes its shape much often.
The investigators, the teachers, the
learners, along with non-human
agents are within the knowledge;
they are partners not counterparts.
17. Connectivism Learning Model
Give learners unstable, controversial,
unsolved and real-life problems.
Let learners do whatever they can to achieve
their goals even if they use, copy and past
content of others.
Foster the learners' diversity and not
similarity.
Help new learners to plant themselves in the
network, to be connected to its nodes and to
be part of it and don't be a bridge node to
this network
18. Connectivism Criticism
It does not address how learning take place; it is concerned about what is
learned and why (Verhagen, 2006).
Connectivism principles lack rigor and are not written in such way that can
be tested (Bell, 2011; Verhagen, 2006).
Connectivism is lacking sufficient empirical research (Kop & Hill, 2008).
Connectivism does not present a solution for a learning paradox (Clarà &
Barberà, 2014).
19. Read More:
Aldahdouh, A. A., Osório, A. J., & Caires, S. (2015). Understanding
Knowledge Network, Learning And Connectivism.
International Journal Of Instructional Technology And Distance Learning, 12(10), 3–
21. Http://Doi.Org/10.5281/Zenodo.46186
The Downes Prize 2015
In addition to being the most
read post in OLDaily this year,
this article was a personal
favourite of mine.
Read Also:
Aldahdouh, A. A., & Osório, A. J. (2016). Planning to Design MOOC? Think First!
The Online Journal of Distance Education and E-Learning, 4(2), 47–57.
http://doi.org/10.5281/zenodo.48804
Editor's Notes
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