Mutual learning: a systemic increase in learning efficiency to prepare for the challenges of the twenty-first century [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
AI and Society 28 (3):329-338 (2013)
One of the few certainties we have about our collective future is that it will require a massive amount of learning, by just about everybody, everywhere. The time for generating as many creative and collaborative knowledge builders has come. Therefore, improving the efficiency of learning could very well become a key leverage point for successfully meeting the challenges of the twenty-first century. This paper explores the possibilities of using mutual learning as a systemic means to improve learning efficiencies. This is measured through three different metrics: (1) the time required to learn, (2) the quantity of learning that is retained over time, and (3) the leveraging of the cost of scholarships through the use of a complementary currency designed to track and encourage mutual learning. In all three metrics, mutual learning is shown as an important approach to increase the effectiveness of learning and, at the very least, can be an adjunct to the conventional educational methods. Mutual learning could apply not only to learning among peers, but also to social, intergenerational, or intercultural mutual learning
|Keywords||Economic development Learning efficiency Mutual learning|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Paulo Freire (2008/1986). Pedagogy of the Oppressed. In David J. Flinders & Stephen J. Thornton (eds.), The Curriculum Studies Reader. Routledge.
A. L. Wilkes, L. S. Vygotsky, E. Hanfmann & G. Vakar (1964). Thought and Language. Philosophical Quarterly 14 (55):178.
Citations of this work BETA
No citations found.
Similar books and articles
Lyn Lesch (2008). How to Prepare Students for the Information Age and Global Marketplace: Creative Learning in Action. Rowman & Littlefield Education.
Knud Illeris (ed.) (2009). Contemporary Theories of Learning: Learning Theorists -- In Their Own Words. Routledge.
Axel Cleeremans & Zoltán Dienes (2008). Computational Models of Implicit Learning. In Ron Sun (ed.), The Cambridge Handbook of Computational Psychology. Cambridge University Press. 396--421.
Tamsin Haggis (2009). Beyond "Mutual Constitution" : Looking at Learning and Context From the Perspective of Complexity Theory. In Richard Edwards, Gert Biesta & Mary Thorpe (eds.), Rethinking Contexts for Learning and Teaching. Routledge. 44.
Richard Edwards, Gert Biesta & Mary Thorpe (eds.) (2009). Rethinking Contexts for Learning and Teaching. Routledge.
Peter Alheit (2009). Biographical Learning Within the New Lifelong Learning Discourse. In Knud Illeris (ed.), Contemporary Theories of Learning: Learning Theorists -- In Their Own Words. Routledge.
Peter Jarvis (2009). Learning to Be a Person in Society : Learning to Be Me. In Knud Illeris (ed.), Contemporary Theories of Learning: Learning Theorists -- In Their Own Words. Routledge.
Danny Wildemeersch & Veerle Stroobants (2009). Transitional Learning and Reflexive Facilitation : The Case of Learning for Work. In Knud Illeris (ed.), Contemporary Theories of Learning: Learning Theorists -- In Their Own Words. Routledge.
Sunbin Song, Howard Jr, James H. & Darlene V. Howard (2007). Implicit Probabilistic Sequence Learning is Independent of Explicit Awareness. Learning and Memory 14 (1-6):167-176.
Rosemary J. Stevenson (1998). Training Quality and Learning Goals: Towards Effective Learning for All. Behavioral and Brain Sciences 21 (3):426-427.
Stellan Ohlsson (1997). Old Ideas, New Mistakes: All Learning is Relational. Behavioral and Brain Sciences 20 (1):79-80.
Luis Jimenez (2003). Intention, Attention, and Consciousness in Probabilistic Sequence Learning. In , Attention and Implicit Learning. John Benjamins.
Dorothy M. Fragaszy (2000). Extending the Model: Pavlovian Social Learning. Behavioral and Brain Sciences 23 (2):255-256.
John E. Hummel (2010). Symbolic Versus Associative Learning. Cognitive Science 34 (6):958-965.
Added to index2012-05-03
Total downloads10 ( #168,257 of 1,679,381 )
Recent downloads (6 months)1 ( #183,757 of 1,679,381 )
How can I increase my downloads?