Experienced teachers diagnose underestimating, overestimating, and uninterested student profiles more accurately than novices, with partial eye-tracking support¶

Claim · All claims
Evidence · 1 study (2 entries) · review r2 · q2
Currency · newest study 2021 · checked against its sources 2026-10-20 (automated, 2 of 2 entries) · not reviewed by a person

Subclaims¶

q2 i? Experienced teachers were more accurate than novices in diagnosing underestimating, overestimating, and uninterested student profiles in a video task. → Nückles 2021 q2 i? Experienced teachers spent more fixations on the uninterested and underestimating student profiles but, contrary to expectations, not on the overestimating student. → Nückles 2021 (2)

Evidence¶

Nückles 2021¶

Nückles, M. (2021). Investigating Visual Perception in Teaching and Learning with Advanced Eye-Tracking Methodologies: Rewards and Challenges of an Innovative Research Paradigm. Educational Psychology Review. https://doi.org/10.1007/s10648-020-09567-5

q2 · i? · review · r2

Expert-novice study by Seidel et al. using validated student profiles in a professional vision video task on on-the-fly formative assessment in a whole-class setting; the article reports "partial support for their hypotheses" for this accuracy finding.

"Especially with regard to the profiles of the underestimating, overestimating, and uninterested students, experienced teachers were more accurate in diagnosing these profiles in the video than novices."

Nückles 2021 (2)¶

Nückles, M. (2021). Investigating Visual Perception in Teaching and Learning with Advanced Eye-Tracking Methodologies: Rewards and Challenges of an Innovative Research Paradigm. Educational Psychology Review. https://doi.org/10.1007/s10648-020-09567-5

q2 · i? · theoretical · r3

Eye-tracking data from the same Seidel et al. expert-novice video study; fixation differences matched expectations for two of three profiles only, so hypothesis support is partial.

"the experienced teachers spent more fixations on the profiles of the uninterested and underestimating students, but, contrary to the authors'expectations, not on the overestimating student."

Discussion¶

Related Claims¶

• SR–OB profile patterns differ by prior AI literacy experience: overestimation appears only among experienced teachers and a low–low profile only among inexperienced teachers — related
• Latent profile analysis of combined SR and OB factors identifies six distinct teacher profiles spanning overestimation, underestimation, and alignment — related
• Adding a cross-factor composite from a teacher study yields r = .079, still with an interval including zero, and latent profiles reveal over- and underestimation of competence — related
• Pre-service teachers' collaborative diagnostic accuracy does not per se exceed individual diagnostic accuracy, but collaboration support can significantly enhance the added value of collaborative diagnosis — related
• Expert teachers' classroom perception appears knowledge-driven while novices' appears image-driven, guided by salient visual features — related
• Only a minority of teacher educators interpreted a critical classroom-management incident as theoretically expected, despite marked eye-tracking differences — related
• Experienced teachers can deduce student engagement profiles from visual observation, while beginning teachers struggle — possibly the same claim (merge candidate)
• Expert teachers fixate more on struggling, underestimating, and uninterested students during individual seatwork, while novices show longer fixations on strong and overestimating students — related
• Expert and novice teachers do not differ significantly in overall judgment accuracy of five student characteristic profiles, though experts judge inconsistent profiles more accurately — possibly the same claim (merge candidate)
• 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
• Judgment accuracy varies across student characteristic profiles: struggling and uninterested profiles are diagnosed more accurately than strong, underestimating, and overestimating profiles — 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