Unit 5

CONNECTIVISM

Connectivism is a learning theory that focuses on the e-learning environment. Connectivism developed in response to the technology-rich information age. It is proposed that knowledge is created from a dynamic web of humans, machines, and networks that connect them (Shukie, 2019). Connectivism emphasizes that learning involves building, navigating, and interpreting technology and human networks. Furthermore, connectivism, unlike other learning theories, focuses on knowledge utilized by technology and digital tools.

RESEARCHERS

GEORGE SIEMENS

1970 - PRESENT

He integrated the principles of chaos, network, complexity, and self-organization theories. Goldie (2016) outlined the Siemens principles that explain the theory of connectivism, which are:

Learning and knowledge rest in various perspectives
Learning occurs by associating specialized nodes or information
Learning can exist in non-human tools
The aptness of acquiring more knowledge is critical than present knowledge.
Sustaining and nurturing is important for ongoing learning
The ability to recognize links between concepts, ideas, and disciplines is a fundamental skill.
Connectivism learning activities aim to keep knowledge accurate and up to date
Decision-making is a form of learning.

STEPHEN DOWNES

1959 - PRESENT

He posited 'Connective knowledge' as the knowledge of interaction between individuals, ideas, societies, and technology that links them (Shukie, 2019). He believed knowledge exists through the connection it provides.

CONNECTIONS TO TEACHING AND LEARNING

Connectivism relates to teaching and learning by examining how individuals learn within a network of ideas, concepts, information sources, and technology. It has created opportunities for learners to understand their role in learning by curating, connecting, and evaluating information sources (NACTA, 2018). Connectivism has helped instructors recognize that their role is to guide the learning process through collaboration and research, curating resources to enhance learners' connections to people and tools for learning, internalizing, and connecting new concepts to real-world experiences. Connectivism incorporates technology into curriculum development by evaluating resources and promoting digital literacy. It has enhanced the use of technology in learning nodes through the advent of social media, learning management systems, and web search engines.

IMPLICATIONS TO INSTRUCTIONAL DESIGN

Connectivism is described as a learning theory for the digital age, and it emphasizes how the model of learning has changed from just content delivery to analyzing the roles of learners, instructors, and designers in learning experiences. Connectivism has impacted numerous aspects of life, not limited to instructional design. The implications of connectivism for instructional design are:

It emphasizes the importance of connections in learning experiences; it therefore suggests the role of designers in facilitating network formation to enhance diversity in accessing information.
It suggests that designers utilize digital technology to facilitate the learning process, promote digital literacy, and provide learners with the ability to evaluate digital resources and curate a personal learning environment for themselves (Zolfaghari et al. 2024).
Connectivism acknowledges the fact that learning takes place in interconnected networks; it thereby suggests that designers should integrate the use of technology, social platforms, and collaborative tools to enhance learners' engagement with their peers (Zolfaghari et al.2024).
Connectivism suggests that learners need to be independent and autonomous and capable of exploring and investigating information, which places the designer in the role of facilitating and curating instruction to guide and promote relevant networking (Zolfaghari et al.2024).

STRENGTHS AND LIMITATIONS OF CONNECTIVISM IN HIGHER EDUCATION

STRENGTHS

In higher education, connectivism plays a vital role in the use of online learning, digital resources, and social platforms to enhance relevant networking for learning.
It improves interactions between learners and instructors using digital tools such as LMS, social media, wiki, blogs, and mobile apps.
It provides learners with the opportunity for self-directed learning.
Massive open online courses (MOOCs) provide learners with the ability to learn anywhere and anytime.
It encourages dynamics and flexibility in designing and implementing learning skills for educators.

WEAKNESS

It could lead to information overload due to learners' open access to loads of educational resources and information
Learners could lack confidence and motivation in self-directed learning
Inequality in access to technology could lead to achievement gaps amongst learners.
It streamlines its focus on human networking, technology, and connection, but blindsides the role of cognition, prior knowledge, and memory in learning.
The validity of information evolves, so learners could have difficulty in keeping pace with new information and shifts in knowledge.

REFERENCES

Elliott Connection. https://elliottconnection.com/wp-content/uploads/2013/10/Logo-power-of- connecting-vs.-networking.jpg

Goldie, J. G. S. (2016). Connectivism: A knowledge learning theory for the digital age? Medical Teacher, 38(10), 1064–1069. https://doi-org.ezproxy.umgc.edu/10.3109/0142159X.2016.1173661

NACTA Teaching Tips/Notes. (2018). NACTA Journal, 62(1), 99–103.

Peter Shukie. (2019). Connectivism, Chaos, and Chaoids. PRISM Blackburn, 2(2).

Unknown. (2013, July 24). Garden learning activity [Image]. Ivey’s Learning Garden. https://iveylearninggarden.blogspot.com/

Zolfaghari, Z., Karimian, Z., & Mehrfar, A. (2024). Implications of Major Learning Theories for Online Medical Education: A Narrative Review. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 15(1), 1–17. https://doi- org.ezproxy.umgc.edu/10.30476/IJVLMS.2024.101714.1291.

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