Expert teachers' classroom perception appears knowledge-driven while novices' appears image-driven, guided by salient visual features¶

Claim · All claims
Evidence · 2 studies · 1 associational r1, 1 theoretical r3 · q1–q2
Currency · newest study 2020 · checked against its sources 2026-10-22 (automated, 2 of 2 entries) · not reviewed by a person · overdue for a recheck since 2025: baselines and conditions change

Subclaims¶

q1 i? The authors assert expert perception is knowledge-driven and novice search image-driven. → Charlotte E. Wolff 2016

q2 i? Experts' eye movements disperse in a rapid, focused search for relevant events driven by knowledge, while novices' eye movements are strewn across many potentially relevant events, driven by visually salient features. → Charlotte E. Wolff 2020

Evidence¶

Charlotte E. Wolff 2016¶

Charlotte E. Wolff, Halszka Jarodzka, Niek van den Bogert, Henny P. A. Boshuizen. (2016). Teacher vision: expert and novice teachers' perception of problematic classroom management scenes. Instr Sci 44:243-265. https://doi.org/10.1007/s11251-016-9367-z

q1 · i? · associational · r1

Authors' interpretive claim (type e) framing their exploratory findings: experts' event-structured knowledge drives monitoring of interactions, while novices' monitoring is guided by location of disruptions and salient features such as bright colours. The eye-tracking results are consistent with this but the interpretation itself is not directly tested.

"In brief, we assert that the classroom perception of expert teachers’ is more likely to be knowledge-driven, whereas novices’ search is likely to be more image-driven."

Charlotte E. Wolff 2020¶

Charlotte E. Wolff, Halszka Jarodzka, Henny P.A. Boshuizen. (2020). Classroom Management Scripts: a Theoretical Model Contrasting Expert and Novice Teachers' Knowledge and Awareness of Classroom Events. Educational Psychology Review. https://doi.org/10.1007/s10648-020-09542-0

q2 · i? · theoretical · r3

The article reports eye-tracking research (Wolff et al. 2016) showing novices' scattered, image-driven (bottom-up) search versus experts' rapid, focused, knowledge-driven (top-down) search, with experts repeatedly monitoring areas displaying student interactions. The article concludes internal factors, i.e. knowledge, take priority over external factors in perception.

"Novices'eye movements were shown to be strewn across many potentially relevant events in the classroom, resulting in a scattered search for information that was driven by visually salient features of the classroom"

Discussion¶

Learner Variables¶

• Prior Knowledge — predictor: learners who differ on it differ in outcomes

Related Claims¶

• Expert teachers' fixations are significantly more focused (less dispersed) than novices' when viewing classroom scenes, irrespective of video type — related
• Experts revisited (monitored) more classroom areas showing student interaction, while novices revisited areas lacking classroom activity — related
• Expert teachers interpret complex classroom phenomena more accurately and fluidly than novices and postulants — related
• Experts predict classroom phenomena and student errors far more than novices, who rarely anticipate misalgorithms — related
• Novice teachers notice more negative classroom events than positive ones, whereas expert teachers show the opposite pattern when reflecting on their own MET videos — related
• Only a minority of teacher educators interpreted a critical classroom-management incident as theoretically expected, despite marked eye-tracking differences — related
• Experts detect and correct small changes before events become full-blown, while novices are distracted by possibly irrelevant phenomena — related
• Novices skipped more classroom areas than experts in all four videos, missing areas that experts continually monitored — related
• Experienced teachers diagnose underestimating, overestimating, and uninterested student profiles more accurately than novices, with partial eye-tracking support — related
• Experienced teachers can deduce student engagement profiles from visual observation, while beginning teachers struggle — related
• Combining eye-tracking with verbal reports can capture differences between more- and less-experienced teachers in detecting critical incidents — related
• Expert teachers fixate more on struggling, underestimating, and uninterested students during individual seatwork, while novices show longer fixations on strong and overestimating students — related
• Both novice and expert teachers state valid behavioral cues when inferring student profiles, but novices rely more on salient cues such as hand raising and quality of answers — related
• Experts show rapid pattern recognition and instantaneous visceral decision-making, while novices rely on prolonged deliberate analysis that may lag events — related
• Expert teachers interpret classroom events more analytically and focus on learning consequences, while novices emphasize student behavior — related
• Experts perceive classroom situations in terms of groups of students while novices devote more visual attention to individual students — related
• Expert teachers show expertise-related eye movement patterns in some classroom tasks but not others, indicating task and context specificity — related
• Eye tracking can be used to study student engagement, teacher expertise, and teacher-student interaction in naturalistic classroom contexts — related