Michelene T H
Biographic Data
| ID | 9464349 |
|---|---|
| NAME | Michelene T H |
| GIVEN NAMES | Michelene |
| FAMILY NAME | T H |
| SIGNATURE | H M T |
| AFFILIATIONS | University of Pittsburgh |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1989 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Applying the Pair-C Framework to foster deep understanding and address misconceptions in science education
Background Understanding complex scientific phenomena, such as natural selection, requires engaging with emergent patterns and causal mechanisms, which are often misunderstood due to persistent misconceptions. Traditional instruction may not adequately support conceptual change in this domain.Methods This study explores the integration of the PAIR-C (Pattern, Agents, Interactions, Relations, and Causality) Framework with agent-based models (ABMs)…
Contents, Vol. 37, 1994
Commentary
Changing Conception of Sources of Memory Development
Explanations for memory development have tended to focus on acquisition of general strategies and metaknowledge. Recently, emphasis has been given to the knowledge base as a whole, including general world-knowledge and domain-specific knowledge and procedures. Evidence is presented from the memory development literature showing why strategies and metaknowledge, although undoubtedly important in development, are not sufficient factors to account f…
Learning from human tutoring
Human one‐to‐one tutoring has been shown to be a very effective form of instruction. Three contrasting hypotheses, a tutor‐centered one, a student‐centered one, and an interactive one could all potentially explain the effectiveness of tutoring. To test these hypotheses, analyses focused not only on the effectiveness of the tutors' moves, but also on the effectiveness of the students' construction on learning, as well as their interaction. The int…
Quantifying Qualitative Analyses of Verbal Data
This article provides one example of a method of analyzing qualitative data in an objective and quantifiable way. Although the application of the method is illustrated in the context of verbal data such as explanations, interviews, problem-solving protocols, and retrospective reports, in principle, the mechanics of the method can be adapted for coding other types of qualitative data, such as gestures and videotapes. The mechanics of the method ar…
Eliciting Self‐Explanations Improves Understanding
Learning involves the integration of new information into existing knowledge. Generating explanations to oneself (self‐explaining) facilitates that integration process. Previously, self‐explanation has been shown to improve the acquisition of problem‐solving skills when studying worked‐out examples. This study extends that finding, showing that self‐explanation can also be facilitative when it is explicitly promoted, in the context of learning de…
Self‐Explanations
The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions t…
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Self‐Explanations
The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions t…
Eliciting Self‐Explanations Improves Understanding
Learning involves the integration of new information into existing knowledge. Generating explanations to oneself (self‐explaining) facilitates that integration process. Previously, self‐explanation has been shown to improve the acquisition of problem‐solving skills when studying worked‐out examples. This study extends that finding, showing that self‐explanation can also be facilitative when it is explicitly promoted, in the context of learning de…
Quantifying Qualitative Analyses of Verbal Data
This article provides one example of a method of analyzing qualitative data in an objective and quantifiable way. Although the application of the method is illustrated in the context of verbal data such as explanations, interviews, problem-solving protocols, and retrospective reports, in principle, the mechanics of the method can be adapted for coding other types of qualitative data, such as gestures and videotapes. The mechanics of the method ar…
Learning from human tutoring
Human one‐to‐one tutoring has been shown to be a very effective form of instruction. Three contrasting hypotheses, a tutor‐centered one, a student‐centered one, and an interactive one could all potentially explain the effectiveness of tutoring. To test these hypotheses, analyses focused not only on the effectiveness of the tutors' moves, but also on the effectiveness of the students' construction on learning, as well as their interaction. The int…
Changing Conception of Sources of Memory Development
Explanations for memory development have tended to focus on acquisition of general strategies and metaknowledge. Recently, emphasis has been given to the knowledge base as a whole, including general world-knowledge and domain-specific knowledge and procedures. Evidence is presented from the memory development literature showing why strategies and metaknowledge, although undoubtedly important in development, are not sufficient factors to account f…
Contents, Vol. 37, 1994
Commentary
Applying the Pair-C Framework to foster deep understanding and address misconceptions in science education
Background Understanding complex scientific phenomena, such as natural selection, requires engaging with emergent patterns and causal mechanisms, which are often misunderstood due to persistent misconceptions. Traditional instruction may not adequately support conceptual change in this domain.Methods This study explores the integration of the PAIR-C (Pattern, Agents, Interactions, Relations, and Causality) Framework with agent-based models (ABMs)…
Psychology (8 works) · Artificial Intelligence (4 works) · Cognitive psychology (4 works) · Cognitive science (4 works) · Computer Science (4 works) · Developmental psychology (4 works) · Educational Strategies and Epistemologies (3 works) · Innovative Teaching and Learning Methods (3 works) · Visual and Cognitive Learning Processes (3 works) · Cognition (2 works)