We propose, in this paper, a teaching program based on a grammar of scientific language borrowed mostly from the area of knowledge representation in computer science and logic. The paper introduces an operationizable framework for understanding knowledge using knowledge representation (KR) methodology. We start with organizing concepts based on their cognitive function, followed by assigning valid and authentic semantic relations to the concepts. We propose that in science education, students can understand better if they organize their knowledge using the KR principles. The process, we claim, can help them to align their conceptual framework with that of experts which we assume is the goal of science education
Compared with research on the role of student engagement with expert representations in learning sci...
It is both desirable and plausible to treat natu-ral language itself as a "knowledge representa...
Learning scientific knowledge is largely based on understanding what are its key concepts and how th...
We show how the method of learning in science, education, and mathematics can be represented by a kn...
A major goal of science education is to turn novices (students) into experts (scientists or science ...
From the Cognition and Exploratory Learning in the Digital Age. Rio de Janeiro, Brazil. 6 - 8 Novemb...
This paper discusses and illustrates through examples how meaningful or deep learning can be support...
This group of papers explores the development of student understanding and application of the discur...
Knowledge representation and reasoning (KR) stems from a deep tradition in logic. In particular, it ...
Knowledge representation is an active field of Artificial Intelligence research. The method of repre...
Learners categorize information differently depending on whether they are “experts”, “novices”, or s...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
This paper will describe the key features and theoretical underpinnings of a representation-intensiv...
The computational metaphor which proposes the comparison of processes of mind to realizable or ima...
As the scientific pursuit progresses, the number of tech-nical terms in sciences is always on the ri...
Compared with research on the role of student engagement with expert representations in learning sci...
It is both desirable and plausible to treat natu-ral language itself as a "knowledge representa...
Learning scientific knowledge is largely based on understanding what are its key concepts and how th...
We show how the method of learning in science, education, and mathematics can be represented by a kn...
A major goal of science education is to turn novices (students) into experts (scientists or science ...
From the Cognition and Exploratory Learning in the Digital Age. Rio de Janeiro, Brazil. 6 - 8 Novemb...
This paper discusses and illustrates through examples how meaningful or deep learning can be support...
This group of papers explores the development of student understanding and application of the discur...
Knowledge representation and reasoning (KR) stems from a deep tradition in logic. In particular, it ...
Knowledge representation is an active field of Artificial Intelligence research. The method of repre...
Learners categorize information differently depending on whether they are “experts”, “novices”, or s...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
This paper will describe the key features and theoretical underpinnings of a representation-intensiv...
The computational metaphor which proposes the comparison of processes of mind to realizable or ima...
As the scientific pursuit progresses, the number of tech-nical terms in sciences is always on the ri...
Compared with research on the role of student engagement with expert representations in learning sci...
It is both desirable and plausible to treat natu-ral language itself as a "knowledge representa...
Learning scientific knowledge is largely based on understanding what are its key concepts and how th...