The present study investigates teacher diagnostic skills when observing student engagement and inferring to underlying student characteristic profiles. Five student profiles as empirically determined in previous studies are selected: three incoherent (overestimating, uninterested, and underestimating) and two coherent (strong and struggling) profiles. Teacher professional vision and underlying assumptions about processes of noticing and reasoning about the chosen diagnostic situation serve as a conceptual basis. In the empirical study (N = 41 participants), it is investigated to what extent expert and novice teachers differ with regard to judgment accuracy of underlying student profiles, observed student cues used for judgment, and teacher gaze as perceptual indicator. The study task involved observing a video clip and diagnosing five marked students based on their underlying profiles. First, findings of the study suggest that expert teachers are more accurate in judging incoherent profiles compared to novices. Second, both novices as well as experts state valid behavioral cues when inferring from student engagement to underlying student profile. Third, experts spend more teacher gaze on student profiles which might need adaptive pedagogical action (struggling, underestimating, uninterested student). The study provides first evidence on teacher gaze during the professional task of diagnosing individual students in the process of teaching. Regarding the conceptual model of teacher professional vision teacher gaze can serve as an additional operationalization of the noticing component of teacher professional vision.

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The paper addresses cognitive processes during a teacher's professional task of assessing learning-relevant student characteristics. We explore how eye-movement patterns (scanpaths) differ across expert and novice teachers during an assessment situation. In an eye-tracking experiment, participants watched an authentic video of a classroom lesson and were subsequently asked to assess five different students. Instead of using typically reported averaged gaze data (e.g., number of fixations), we used gaze patterns as an indicator for visual behavior. We extracted scanpath patterns, compared them qualitatively (common sub-pattern) and quantitatively (scanpath entropy) between experts and novices, and related teachers' visual behavior to their assessment competence. Results show that teachers' scanpaths were idiosyncratic and more similar to teachers of the same expertise group. Moreover, experts monitored all target students more regularly and made recurring scans to re-adjust their assessment. Lastly, this behavior was quantified using Shannon's entropy score. Results indicate that experts' scanpaths were more complex, involved more frequent revisits of all students, and that experts transferred their attention between all students with equal probability. Experts' visual behavior was also statistically related to higher judgment accuracy.

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Previous studies have pointed out that first-generation students, continuing-generation students and female and male students differ concerning trajectories into and through higher education regarding study program choices and satisfaction. Studies focused on single time points in students’ educational trajectories and mainly emanated from the United States. In order to facilitate a longitudinal comparison of students’ study program aspirations and choices, as well as study satisfaction and dropout intentions, we analyzed panel data from the German National Educational Panel Study (NEPS), consisting of 1,694 students. We modeled the influence of gender (female, male) and generational status (first-generation, continuing-generation) with multinomial logit regression models. Results show that students’ aspirations and choices did not significantly differ concerning generational status whereas gender differences were confirmed once again. Generational status did not reveal significant differences concerning study satisfaction and dropout intentions, whereas differences concerning gender revealed that female students were significantly more satisfied with their studies than male students. Based on our findings, we point out the importance of early counseling and other support to compensate gender differences in study program aspirations and choices. Further research is needed to explore reasons for our findings showing equal aspirations and choices of first- and continuing-generation students, which are opposed to previous studies’ findings.

Studie, které zkoumají pozornost učitelů skrze eye-tracking vykazují velkou různorodost co se týče stylu reportování a pohledu na kvalitu dat. Důvodem může být to, že eye-tracking je v oblasti výzkumu učitele poměrně novou metodou a systematická metodologická doporučení prozatím neexistují. To se týká především kvality sbíraných dat (tedy přesnosti) a způsobu jejich zpracování skrze vykreslení dynamických oblastí zájmu (areas of interest, AOI) ve video stimulech. Předkládaná studie zkoumá vliv různých hladin akceptované přesnosti dat na počet fixací a tři způsoby vykreslení AOI (AOI ve tvaru žáka kreslená pomocí křivek; AOI tváře žáka kreslená pomocí oválů; AOI oblasti žáka vykreslená obdélníkem) na standardní eye-trackingové proměnné: počet fixací, počet pohledů (glances) a délka fixace. 62 účastníků sledovalo video stimul s pěti označenými žáky, kteří představovali cílové AOI. Byla provedena jednoduchá analýza rozptylu s cílem určit vliv různých hladin přesnosti dat (>1°, > 0.5° to ≤ 1.0°, and ≤ 0.5°) na počet ficaxí. Vliv tří typů vykreslení dynamických AOI byl zkoumán pomocí několika jendofaktorových analýz rozptylu s opakovaným měřením. Výsledky neukázaly významný rozdíl mezi jednotlivými hladinami přesnosti. Významné rozdíly byly ale pozorovány u různých typů AOI. Při použití obdélníků bylo zaznamenáno více fixací a více návštěv AOI než u dalších dvou typů AOI. Nejdelší průměrné fixace byly zaznamenány u AOI zaměřených pouze na tváře žáků. Tyto výsledky nazančují, že je nutné zvážit výběr tvaru AOI v závislosti na výzkumné otázce a pozice AOI v prostoru a zároveň věnovat pozornost přesnosti dat.