dc.creator |
David E. Pritchard |
|
dc.creator |
Young-Jin Lee |
|
dc.creator |
Lei Bao |
|
dc.date |
2008-05-01T00:00:00Z |
|
dc.date.accessioned |
2015-07-20T22:11:50Z |
|
dc.date.available |
2015-07-20T22:11:50Z |
|
dc.identifier |
1554-9178 |
|
dc.identifier |
https://doaj.org/article/de15b75c32be4ae9890e2c18a1ffa2e4 |
|
dc.identifier.uri |
http://evidence.thinkportal.org/handle/123456789/14747 |
|
dc.description |
We present mathematical learning models—predictions of student’s knowledge vs amount of instruction—that are based on assumptions motivated by various theories of learning: tabula rasa, constructivist, and tutoring. These models predict the improvement (on the post-test) as a function of the pretest score due to intervening instruction and also depend on the type of instruction. We introduce a connectedness model whose connectedness parameter measures the degree to which the rate of learning is proportional to prior knowledge. Over a wide range of pretest scores on standard tests of introductory physics concepts, it fits high-quality data nearly within error. We suggest that data from MIT have low connectedness (indicating memory-based learning) because the test used the same context and representation as the instruction and that more connected data from the University of Minnesota resulted from instruction in a different representation from the test. |
|
dc.language |
English |
|
dc.publisher |
American Physical Society |
|
dc.relation |
http://link.aps.org/abstract/PRSTPER/v4/e010109 |
|
dc.relation |
https://doaj.org/toc/1554-9178 |
|
dc.source |
Physical Review Special Topics. Physics Education Research, Vol 4, Iss 1 (2008) |
|
dc.subject |
Education (General) |
|
dc.subject |
L7-991 |
|
dc.subject |
Education |
|
dc.subject |
L |
|
dc.subject |
DOAJ:Education |
|
dc.subject |
DOAJ:Social Sciences |
|
dc.subject |
Education (General) |
|
dc.subject |
L7-991 |
|
dc.subject |
Education |
|
dc.subject |
L |
|
dc.subject |
DOAJ:Education |
|
dc.subject |
DOAJ:Social Sciences |
|
dc.subject |
Education (General) |
|
dc.subject |
L7-991 |
|
dc.subject |
Education |
|
dc.subject |
L |
|
dc.subject |
Education (General) |
|
dc.subject |
L7-991 |
|
dc.subject |
Education |
|
dc.subject |
L |
|
dc.subject |
Education (General) |
|
dc.subject |
L7-991 |
|
dc.subject |
Education |
|
dc.subject |
L |
|
dc.title |
Mathematical learning models that depend on prior knowledge and instructional strategies |
|
dc.type |
article |
|