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pro vyhledávání: '"Jeffrey Matayoshi"'
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22506e0db9c5eee3d189183adff244b0
Publikováno v:
International Journal of Artificial Intelligence in Education. 31:304-336
Many recent studies have looked at the viability of applying recurrent neural networks (RNNs) to educational data. In most cases, this is done by comparing their performance to existing models in the artificial intelligence in education (AIED) and ed
Autor:
Jeffrey Matayoshi
Publikováno v:
The British journal of mathematical and statistical psychologyReferences. 75(2)
Approximately counting and sampling knowledge states from a knowledge space is a problem that is of interest for both applied and theoretical reasons. However, many knowledge spaces used in practice are far too large for standard statistical counting
Publikováno v:
International Journal of Artificial Intelligence in Education. 29:258-282
A large-scale simulation study of the assessment effectiveness of a particular instantiation of knowledge space theory is described. In this study, data from more than 700,000 actual assessments in mathematics using the ALEKS (Assessment and LEarning
Autor:
Jeffrey Matayoshi, Hasan Uzun
Publikováno v:
Journal of Mathematical Psychology. 109:102674
Autor:
Shamya Karumbaiah, Jeffrey Matayoshi
Publikováno v:
LAK
Many areas of educational research require the analysis of data that have an inherent sequential or temporal ordering. In certain cases, researchers are specifically interested in the transitions between different states—or events—in these sequen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)
AIED (2)
ALEKS is an adaptive learning system covering subjects such as math, statistics, and chemistry. Several recent studies have looked in detail at various aspects of student knowledge retention and forgetting within the system. Based on these studies, v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7c35d8b220abb1ba1f2d27036e09725
https://doi.org/10.1007/978-3-030-78270-2_80
https://doi.org/10.1007/978-3-030-78270-2_80
Publikováno v:
L@S
Retrieval practice (also known as testing effect or test-enhanced learning) is a well-studied and established technique for improving the retention of knowledge. Many previous works have confirmed the benefits of retrieval practice in laboratory expe
Autor:
Jeffrey Matayoshi
Publikováno v:
The Electronic Journal of Combinatorics. 27
The union-closed sets conjecture states that if a finite family of sets $\mathcal{F}$ is union-closed, then there must be some element contained in at least half of the sets of $\mathcal{F}$. In this work we study the relationship between the union-c
Autor:
Jeffrey Matayoshi
Publikováno v:
Journal of Mathematical Psychology. 80:15-21
In this paper we will study several properties of well-graded union-closed families that do not contain the empty set. Such union-closed families without the empty set are said to be partially union-closed. We will extend several results for well-gra