For cumulative learning in artificial intelligence, see Multi-task learning.
Cumulative learning is the cognitive process by which we accumulate and improve knowledge and abilities that serve as building blocks for subsequent cognitive development.[1] A primary benefit of such is that it consolidates knowledge one has obtained through experience, and allows the facilitation of further learning through analogical knowledge transfer.[1] This is seen through students' ability to transfer knowledge across contexts and through time.[2]
It is a concept that has been widely written about in psychological literature, with scholars particularly drawing attention to the fact it allows for the incremental increase in scope of ability and knowledge.,[3] without damaging pre-existing skills. More meaningfully constructed knowledge can be better reserved for future use.[4]
This theory serves as an alternative approach to maturational theories such as the model proposed by Jean Piaget concerning intellectual and learning development.[5]
^ abLee, JungMi (1 January 2012). "Cumulative Learning". In Seel, Prof Dr Norbert M. (ed.). Encyclopedia of the Sciences of Learning. Springer US. pp. 887–893. doi:10.1007/978-1-4419-1428-6_1660. ISBN 978-1-4419-1427-9.
^Maton, Karl (1 January 2009). "Cumulative and segmented learning: exploring the role of curriculum structures in knowledge‐building". British Journal of Sociology of Education. 30 (1): 43–57. doi:10.1080/01425690802514342. S2CID 40418145.
^Thórisson, Kristinn R.; Bieger, Jordi; Li, Xiang; Wang, Pei (2019). "Cumulative Learning". Artificial General Intelligence. Lecture Notes in Computer Science. 11654: 198–208. doi:10.1007/978-3-030-27005-6_20. ISBN 978-3-030-27004-9. S2CID 198981266.
^Lee, JM. "Cumulative Learning and Schematization in Problem Solving".
^LaBarba, Richard C. (1981). Foundations of Developmental Psychology. New York: Academic Press. pp. 308. ISBN 0124323502.
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