Related Experiment Video
Updated: May 4, 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
3.1K
Studying PubMed usages in the field for complex problem solving: Implications for tool design
Barbara Mirel1, Jean Song2, Jennifer Steiner Tonks3
1School of Education, University of Michigan, Ann Arbor, Michigan 48109 734-332-8969.
Summary
This study observed novice scientists using PubMed for problem-solving, revealing common information-seeking patterns and individual search style variations. Tool design should consider context-rich findings to improve user support.
Area of Science:
- Biomedical research
- Information science
- Human-computer interaction
Background:
- Existing research focuses on general MEDLINE use, with limited understanding of scientists' problem-solving behaviors in real-world contexts.
- There's a gap in knowledge regarding specific tool support needs during scientific problem-solving using databases like PubMed.
Purpose of the Study:
- To investigate how novice scientists use PubMed for problem-solving in a laboratory setting.
- To identify common information-seeking stages, patterns, and variations in search styles.
- To inform the design of improved PubMed features based on contextual user needs.
Main Methods:
- Field study involving 14 upper-level undergraduate molecular biology majors.
- Observation of participants engaging in a problem-solving activity using PubMed.
- Analysis of information-seeking behaviors and cognitive search styles.
Main Results:
- Identified common information-seeking stages and patterns across novice scientists.
- Observed significant variations in cognitive search styles among users.
- Findings confirmed and qualified results from previous, less context-specific studies.
Conclusions:
- Context-rich studies are crucial for understanding scientists' information needs during problem-solving.
- Tool design improvements should be strategically timed based on user context and behavior.
- Understanding individual search variations is key to developing effective scientific information tools.
Related Concept Videos
01:29Problem-Solving
680
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:
680
01:21Heuristics
716
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
716
01:21Cognitive Learning
1.6K
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
1.6K
01:28Structure-Activity Relationships and Drug Design
1.9K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.9K
01:26Impact: Problem Solving
615
In an experiment conducted during a Mars mission, a rover propels a projectile with an initial velocity, and the projectile rebounds after colliding with the Martian surface. To ascertain the maximum height attained by the projectile after this collision, the known restitution coefficient and acceleration due to gravity are employed.
By designating the launch point as the origin and utilizing kinematic equations, the vertical component of the projectile's velocity at the point of impact is...
By designating the launch point as the origin and utilizing kinematic equations, the vertical component of the projectile's velocity at the point of impact is...
615
01:25Strategies for Assessing and Addressing Confounding
596
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
596