Difference between revisions of "Coordinative Learning"
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=== Independent variables === | === Independent variables === | ||
− | *Content of the sources (e.g., | + | *Content of the sources (e.g., pictures, diagrams, written text) |
− | *Instructional activities designed to engage students in coordination (e.g., self-explanation | + | *Instructional activities designed to engage students in coordination (e.g., conceputal vs. procedural exercises, contiguous presentation of sources, self-explanation) |
=== Dependent variables === | === Dependent variables === |
Revision as of 21:26, 20 September 2006
Contents
The PSLC Coordinative Learning cluster
Abstract
The studies in the Coordinative Learning cluster tend to focus on varying a) the types of information available to learning or b) the instructional methods that they employ. In particular, the studies focus on the impact of having learners coordinate two or more types. Given that the student has two sources/methods available, the factors that might impact learning are:
- What is the relationship between the content in the two sources or the content generated by the two methods? Our hypothesis is that the two sources or methods facilitate robust learning when a knowledge component is difficult to understand or absent in one and is present and easy to understand in the other.
- When and how does the student coordinate between the two sources or methods? Our hypothesis is that students should be encouraged to compare the two, perhaps by putting them close together in space or time. This is a form of engagement.
At the micro-level, the overall hypothesis is that robust learning occurs when the learning event space has target paths whose sense-making difficulties complement each other (as expressed in the first bullet above) and the students make path choices that take advantage of these complementary paths (as in the second bullet, above). This hypothesis is just a specialization of the general PSLC hypothesis to this cluster.
Glossary
- Coordination-- a process for achieving self-supervised learning by integrating information from multiple sources or instructional methods
- Sources--information-supplying resources that can be used for learning
- Complementary--when two (or more) sources or methods together provide all of the necessary knowledge components
- Self-supervised learning-- learning that occurs by a student creating or discovering a knowledge component without being specifically taught that knowledge component
- Co-training--a method for learning from unlabeled examples and multiple sources
- Unlabeled examples--examples given without feedback, label, or response
Research question
How can instructional activities that involve two sources of instructional information increase robust learning?
Independent variables
- Content of the sources (e.g., pictures, diagrams, written text)
- Instructional activities designed to engage students in coordination (e.g., conceputal vs. procedural exercises, contiguous presentation of sources, self-explanation)
Dependent variables
Measures of normal and robust learning.
Hypotheses
When students are given sources whose sense-making difficulties are complementary, and they are engaged in coordinating the sources, then their learning will be more robust than it would otherwise be.
Explanation
There are both sense-making and foundational skill-building explanations. From the sense-making perspective, if the sources/methods yield complementary content and the student is engaged in coordinating them, then the student is more likely to successfully understand the instruction because if a student fails to understand one of the sources/methods, he can use the second to make sense of the first. From a foundational skill-building perspective, attending to both sources/methods simultaneously associates features from both with the learned knowledge components, thus increasing feature validity and hence robust learning.
Descendents
- Visual-verbal learning in geometry (Aleven & Butcher)
- Hints during tutored problem solving – the effect of fewer hint levels with greater conceptual content (Aleven & Roll)
- Handwriting in algebra learning (Anthony, Yang & Koedinger)
- Note-taking technologies (Bauer & Koedinger)
- Knowledge component construction vs. recall (Booth, Siegler, Koedinger & Rittle-Johnson)
- Visual Representations in Science Learning (Davenport, Klahr & Koedinger)
- Co-training of Chinese characters (Liu, Perfetti, Mitchell & Wang)
- Personalization and example studying in chemistry (McLaren, Koedinger & Yaron)
- Implicit vs. explicit instruction on word meanings (Juffs & Eskenazi) [Was in Fluency]
- Video vs. audio-only training of pronunciation (Liu, Perfetti & Wang) [Was in Fluency]
- Visual enhancement of Chinese tone learning (Wang, Lui and Perfetti) [Was in Fluency]
Annotated Bibliography
Forthcoming