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Related Concept Videos

Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction from inductive reasoning. It uses a general principle or law to predict specific results. From these general principles, a scientist can predict specific results that remain valid as long as the general principles are correct.For example, a researcher can make specific predictions from the hypothesis "butterflies are attracted...
Cognitive Learning01:21

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Principle of Virtual Work: Problem Solving01:13

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The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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Model-based reasoning: using visual tools to reveal student learning.

Douglas Luckie1, Scott H Harrison, Diane Ebert-May

  • 1Department of Physiology, Michigan State University, East Lansing, Michigan 48824-3320, USA. luckie@msu.edu

Advances in Physiology Education
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PubMed
Summary
This summary is machine-generated.

This study introduces the Concept Connector, a visual modeling tool for science education. Automated scoring of student-created concept maps shows promise for effective assessment in large courses.

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Area of Science:

  • Science education
  • Physiology education

Background:

  • Visual models are crucial in science and should be integrated into classrooms.
  • The Concept Connector is an online concept mapping tool designed for large introductory science courses.

Purpose of the Study:

  • To evaluate the effectiveness of the Concept Connector, including its automated scoring function (Robograder).
  • To assess the potential of automated scoring methods to match human grader performance in evaluating student concept maps.

Main Methods:

  • Developed and studied the Concept Connector, an online Java applet for concept mapping.
  • Utilized automatic scoring functions (Robograder) based on instructor-defined criteria and tested grading schemes.
  • Applied holistic algorithms to test automated scoring of concept maps.

Main Results:

  • Over 1,000 physiology students used the Concept Connector for building and receiving immediate feedback on their conceptual understanding.
  • Criterion concept maps with expert-generated propositions were used for grading.
  • Automated scoring methods were tested against human grading standards.

Conclusions:

  • The Concept Connector facilitates visualization of student thinking in large science courses.
  • Automated scoring of concept maps using holistic algorithms shows potential as an effective assessment tool comparable to human graders.