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	Think-Aloud Protocol in Education	Protokół głośnego myślenia
Dziedzina	Education	Interakcja człowiek–komputer
Rodzina	Process / pipeline	Hypothesis test
Rok powstania	1993	1980
Twórca	K. Anders Ericsson & Herbert Simon; educational application by Leighton and others	K. Anders Ericsson and Herbert A. Simon, adapted to HCI by Clayton Lewis
Typ	Verbal-report method for eliciting cognitive processes during tasks	Protocol for capturing user cognition and decision-making during task execution
Źródło pierwotne	Ericsson, K. A., & Simon, H. A. (1993). Protocol Analysis: Verbal Reports as Data (Revised ed.). MIT Press. ISBN: 9780262550239	Ericsson, K. A., & Simon, H. A. (1980). Verbal reports as data. Psychological Review, 87(3), 215–251.
Inne nazwy	Verbal Protocol Analysis in Education, Cognitive Labs, Talk-Aloud Method, Concurrent Verbal Reporting	Talk-Aloud Protocol, Concurrent Thinking Aloud, TA
Pokrewne	4	4
Podsumowanie	The think-aloud protocol is a method for making cognition visible by having people verbalize their thoughts while performing a task. In education it is the primary tool for studying response processes — how students actually read, reason about, and answer test items and learning tasks. Grounded in Ericsson and Simon's theory of verbal reports as data, it provides the response-process evidence that modern validity frameworks require, revealing whether items measure the intended thinking, and exposing strategies, misconceptions, and construct-irrelevant difficulties.	The Think-Aloud Protocol is a usability testing method in which participants verbalize their thoughts while completing tasks on a system. As users navigate an interface, they continuously narrate their observations, interpretations, and reasoning, allowing researchers to understand their mental models, decision-making, and frustration points. Originating from cognitive psychology research by Ericsson and Simon (1980), this method was adapted for HCI by Clayton Lewis and has become one of the most widely used techniques for identifying usability problems and understanding user behavior.