Related Experiment Video
Updated: Mar 11, 2026

10:26
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
4.5K
Step by Step: Biology Undergraduates' Problem-Solving Procedures during Multiple-Choice Assessment.
Luanna B Prevost1, Paula P Lemons2
1Department of Integrative Biology, University of South Florida, Tampa, FL 33620.
CBE Life Sciences Education
|December 3, 2016
Summary
Students solving biology problems use domain-general and domain-specific strategies. Domain-specific strategies correlate with correct answers, especially for complex biology concepts.
Area of Science:
- Biology Education Research
- Cognitive Psychology
Background:
- Understanding student problem-solving strategies is crucial for effective biology instruction.
- Existing research often lacks a detailed analysis of the procedures used in solving biology multiple-choice questions.
Purpose of the Study:
- To investigate the specific problem-solving procedures students employ for biology multiple-choice questions.
- To categorize these procedures as domain-general, domain-specific, or hybrid.
- To analyze the relationship between procedure type, problem complexity, and accuracy.
Main Methods:
- Students solved multiple-choice biology problems across four exams.
- Students provided written descriptions of their problem-solving processes.
- Procedures and errors were systematically categorized into domain-general and domain-specific types.
Main Results:
- A spectrum of domain-general, domain-specific, and hybrid problem-solving procedures was identified.
- Students utilized domain-general and hybrid procedures more for lower-order problems and domain-specific procedures for higher-order problems.
- Increased use of domain-specific procedures correlated with higher accuracy, while one domain-general procedure was as effective as multiple for correct answers.
Conclusions:
- The study offers a novel categorization of student problem-solving procedures in biology.
- Findings suggest that domain-specific knowledge and strategies are key for higher-order biology problem-solving.
- Implications for instructional design and future research in biology education are highlighted.
Related Concept Videos
Problem-Solving
593
Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
593
Surveys
17.2K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
17.2K
Blind Procedures
13.8K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
13.8K
Gaussian Elimination: Problem Solving
247
Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
247
Mathematical Modeling: Problem Solving
475
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
475
Group Design
11.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
11.0K

