ED02 · Education

Problem Solving & Decision Making

How does the student actually solve the problem, and what visual and cognitive strategy leads to the final decision?

Problem Solving & Decision Making research scene
Research protocolProblem Solving & Decision Making

How does the student actually solve the problem, and what visual and cognitive strategy leads to the final decision?

EducationEye Tracking BarProblem SolvingDecision MakingMathematical Reasoning
FIELDEducation
EXECUTIONIn-person execution
TECHNOLOGY PATHEye Tracking Bar
STUDY CODEED02
The research question

How does the student actually solve the problem, and what visual and cognitive strategy leads to the final decision?

Problem Solving & Decision Making examines the process behind an answer rather than accuracy alone, with particular emphasis on mathematical reasoning. Eye tracking follows exploration, relevant-information detection, comparison of alternatives and the final decision, revealing analytical versus insight-based strategies, distractors and information associated with incorrect choices.

ParticipantsStudents or learners segmented by grade, age, performance level or another study-defined profile.
Minimum sampleN = 20 per participant profile
DurationTask-dependent; configured by the number and complexity of the approved problems or decision scenarios.
Research environments
Controlled screen-based problem solvingMathematical reasoning tasksScientific, logical and visual problemsDecision scenarios
Technology configuration

Measurement follows the task

The technology path shown here is the approved structure for this service. The exact protocol is configured around the research question, environment and participant flow.

01 · ProtocolEye Tracking Bar / Screen-Based Eye Tracking
Typical protocol · Education

How this study is executed.

The protocol below reflects the service definition developed for Neuro Garage. Final details are confirmed before execution.

01

Define the participant profiles and the mathematical, scientific, logical, visual or decision tasks.

02

Map relevant information, alternative paths, distractors and decision points within each problem.

03

Record fixation, dwell, scanpath, revisit and timing behavior while participants solve each task.

04

Reconstruct the sequence from exploration to relevant-information detection, alternative comparison and decision.

05

Compare high- and low-performance profiles when required and identify analytical, insight-based or inefficient strategies.

Typical outputs

What this specific study can produce

01Problem-Solving Strategy
02Decision-Making Process
03Decision Efficiency
Decisions supported

What the client can change with the evidence

The study is designed to translate observed behavior into concrete operational, people, design or risk-management decisions.

01Compare reasoning strategies between learner profiles
02Identify distractors and ignored relevant information
03Diagnose where the solution process becomes inefficient
04Redesign mathematical or problem-solving instruction
05Compare alternative problem representations
Scientific configuration

The method follows the question

Technology is selected because it is scientifically appropriate for the research objective, not because a device must be used. Santiago configures the study scope, stimuli, participant flow and measurement path before execution.

Discuss this study
Problem Solving & Decision Making — Education Research | Neuro Garage