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Reading comprehension is a central skill in secondary education. To be able to provide adaptive instruction, teachers need to be able to accurately estimate students' reading comprehension. However, they tend to experience difficulties doing so. Eye tracking can uncover these reading processes by visualizing what a student looked at, in what order, and for how long, in a gaze display. The question is, however, whether teachers could interpret such displays. We, therefore, examined how teachers interpret gaze displays and perceived their potential use in education to foster tailored support for reading comprehension. Sixty teachers in secondary education were presented with three static gaze displays of students performing a reading comprehension task. Teachers were asked to report how they interpreted these gaze displays and what they considered to be the promises and pitfalls of gaze displays for education. Teachers interpreted in particular reading strategies in the gaze displays quite well, and also interpreted the displays as reflecting other concepts, such as motivation and concentration. Results showed that teachers' interpretations of the gaze displays were generally consistent across teachers and that teachers discriminated well between displays of different strategies. Teachers were generally positive about potential applications in educational practice. This study provides first insights into how teachers experience the utility of gaze displays as an innovative tool to support reading instruction, which is timely as rapid technological developments already enable eye tracking through webcams on regular laptops. Thus, using gaze displays in an educational setting seems to be an increasingly feasible scenario.

Eye movement modeling examples (EMMEs) are instructional videos (e.g., tutorials) that visualize another person's gaze location while they demonstrate how to perform a task. This systematic literature review provides a detailed overview of studies on the effects of EMME to foster observers' performance and learning and highlights their differences in EMME designs. Through a broad, systematic search on four relevant databases, we identified 72 EMME studies (78 experiments). First, we created an overview of the different study backgrounds. Studies most often taught tasks from the domains of sports/physical education, medicine, aviation, and STEM areas and had different rationales for displaying EMME. Next, we outlined how studies differed in terms of participant characteristics, task types, and the design of the EMME materials, which makes it hard to infer how these differences affect performance and learning. Third, we concluded that the vast majority of the experiments showed at least some positive effects of EMME during learning, on tests directly after learning, and tests after a delay. Finally, our results provide a first indication of which EMME characteristics may positively influence learning. Future research should start to more systematically examine the effects of specific EMME design choices for specific participant populations and task types.

In online lectures, unlike in face-to-face lectures, teachers lack access to (nonverbal) cues to check if their students are still "with them" and comprehend the lecture. The increasing availability of low-cost eye-trackers provides a promising solution. These devices measure unobtrusively where students look and can visualize these data to teachers. These visualizations might inform teachers about students' level of "with-me-ness" (i.e., do students look at the information that the teacher is currently talking about) and comprehension of the lecture, provided that (1) gaze measures of "with-me-ness" are related to comprehension, (2) people not trained in eye-tracking can predict students' comprehension from gaze visualizations, (3) we understand how different visualization techniques impact this prediction. We addressed these issues in two studies. In Study 1, 36 students watched a video lecture while being eye-tracked. The extent to which students looked at relevant information and the extent to which they looked at the same location as the teacher both correlated with students' comprehension (score on an open question) of the lecture. In Study 2, 50 participants watched visualizations of students' gaze (from Study 1), using six visualization techniques (dynamic and static versions of scanpaths, heatmaps, and focus maps) and were asked to predict students' posttest performance and to rate their ease of prediction. We found that people can use gaze visualizations to predict learners' comprehension above chance level, with minor differences between visualization techniques. Further research should investigate if teachers can act on the information provided by gaze visualizations and thereby improve students' learning.

Although various academic disciplines use data papers to support effective research practices, data papers are still uncommon in the educational sciences. Main goals of data papers are enhancing transparency regarding research processes and supporting data sharing among researchers and thus, open science. As many educational research projects include personal data often of minors, publishing raw data can be challenging due to privacy regulations and laws (GDPR). The present article aims at exploring how a data paper can contribute to open science and enhancing transparency regarding research and publication processes for educational research projects, often containing personal data that cannot be made openly available in its raw form. To this end, we describe a dataset of a research project on teachers' noticing as basis for their classroom management. As this project includes rich process-tracing recording methods, the dataset is diverse and serves as basis for multiple analyses and publications while containing personal data of teachers and minors. By elaborating on the characteristics of the dataset, its gathering, analysis approaches and sharing preprocessed and anonymized data files, this data paper explores how to contribute to transparency and open science in educational sciences while acting within the boundaries set by privacy regulations and laws.

Secondary school students often learn new cognitive skills by practicing with tasks that vary in difficulty, amount of support and/or content. Occasionally, they have to select these tasks themselves. Studies on task-selection guidance investigated either procedural guidance (specific rules for selecting tasks) or strategic guidance (general rules and explanations for task selection), but never directly compared them. Experiment 1 aimed to replicate these studies by comparing procedural guidance and strategic guidance to a no-guidance condition, in an electronic learning environment in which participants practiced eight self-selected tasks. Results showed no differences in selected tasks during practice and domain-specific skill acquisition between the experimental groups. A possible explanation for this is an ineffective combination of feedback and feed forward (i.e. the task-selection advice). The second experiment compared inferential guidance (which combines procedural feedback with strategic feed forward), to a no-guidance condition. Results showed that participants selected more difficult, less-supported tasks after receiving inferential guidance than after no guidance. Differences in domain-specific skill acquisition were not significant, but higher conformity to inferential guidance did significantly predict higher domain-specific skill acquisition. Hence, we conclude that inferential guidance can positively affect task selections and domain-specific skill acquisition, but only when conformity is high.

Background: Eye movement modelling examples (EMME) are demonstrations in which learners' not only see a model's (e.g., a teacher's) task performance on a computer screen (as in regular video examples) but also the model's eye movements (represented as moving coloured dots overlaid on the screen). Thereby EMME help guide learners' attention towards the relevant information and can model cognitive strategies which are otherwise unobservable for learners. Objectives: This study investigated whether EMME can help to learn deductive reasoning strategies and how the presence/absence of a teacher's verbal explanation affects learning from EMME. Methods: Secondary education students (N = 137) were randomly assigned to study video examples under one of four conditions in a 2 (EMME: yes/no) x 2 (verbal explanations: yes/no) between-subjects design. Results and Conclusions: Results revealed only a beneficial effect of the presence of verbal explanations on performance on the practice problems, but no pretest-to-posttest learning gains. Implications: Seeing the teacher's eye movements does not appear to enhance learning of deductive reasoning. The presence/absence of the teacher's verbal explanation does not seem to affect learning deductive reasoning.

Recent technological developments related to the World Wide Web including mobile computing, social media, and online videos are shaping the way we learn. As argued in the present commentary, the majority of educational psychological research that has examined how individuals learn by searching the Web, however, has not kept up with this pace. Therefore, the goal of this commentary is to discuss how recent technological developments might affect how learners acquire knowledge through Web search and to provide a respective research agenda. Specifically, we will focus on the use of mobile devices and digital assistants, social networking sites, and online videos, and the opportunities and challenges they present to learners. In addition, we suggest that future research should study the ongoing learning processes during Web search in greater detail. We believe that examining the research questions raised in the present commentary will uniquely contribute to the literature on Web-based searching and learning.

Visual expertise in medicine has been a subject of research since many decades. Interestingly, it has been investigated from two little related fields, namely the field that focused mainly on the visual search aspects whilst ignoring higher-level cognitive processes involved in medical expertise, and the field that mainly focused on these higher-level cognitive processes largely ignoring the relevant visual aspects. Consequently, both research lines have traditionally used different methodologies. Recently, this gap is being increasingly closed and this special issue presents methods to investigate visual expertise in medicine from both research lines, namely those investigating vision (eye tracking, pupillometry, flash preview moving window paradigm), verbalisations, brain activity, and performance measures (ROC analysis, gesture coding, expert performance approach). We discuss the benefits and drawbacks of each method and suggest directions for future research that could help to unbox the black box of visual expertise in medicine.

Dealing with the complexities of the classroom and the diversity of events in classroom situations presents a major challenge for classroom management. The knowledge a teacher has for processing this complexity depends a great deal on their level of experience, leading to differences in the way teachers perceive and interpret classroom events. This includes how they monitor events and how they maintain an ongoing awareness of classroom situations. It also impacts decisions about when and how to act in response to events. Research on classroom management has often focused on how to handle common classroom situations, but does not provide a theoretical description of how knowledge from experience affects teachers' awareness and ability to manage the classroom. This article proposes a definition for "classroom management scripts" by contrasting expert and novice teachers' knowledge and their decisions to act in response to classroom events. Classroom management scripts help clarify differences in teachers' recognition and representation of events by considering how expertise influences visual perception and mental interpretation. The proposed model exposes the internal cognitive processing involved in classroom management. Such insights can be useful for helping teacher educators and teachers themselves analyze and make sense of puzzling events. In turn, this may help develop training approaches to improve teachers' awareness of factors easily overlooked when considering classroom management, enhancing professional vision. This theory also underlines the centrality of facilitating and sustaining learning when grappling with the challenges of managing a classroom.

Classrooms full of pupils can be very overwhelming, both for teachers and students, as well as for their joint interactions. It is thus crucial that both can distil the relevant information in this complex scenario and interpret it appropriately. This distilling and interpreting happen to a large extent via visual perception, which is the core focus of the current Special Issue. Six empirical studies present examples of how to capture visual perception in the complexity of a classroom lesson. These examples open up new avenues that go beyond studying perception in restricted and artificial laboratory scenarios: some using video recordings from authentic lessons to others studying actual classrooms. This movement towards more realistic scenarios allows to study the visual perception in classrooms from new perspectives, namely that of the teachers, the learners, and their interactions. This in turn enables to shed novel light onto well-established theoretical concepts, namely students' engagement during actual lessons, teachers' professional vision while teaching, and establishment of joint attention between teachers and students in a lesson. Additionally, one theoretical contribution provides the very first model of teachers' cognitions during teaching in relation to their visual perception, which in turn will allow future research to move beyond explorations towards hypothesis testing. However, to fully thrive, this field of research has to address two crucial challenges: (i) the heterogeneity of its methodological approaches (e.g., varying age groups, subjects taught, lesson formats) and (ii) the recording and processing of personal data of many people (often minors). Hence, these new approaches bear not only new chances for insights but also new responsibilities for the researchers.

Domain experts regularly teach novice students how to perform a task. This often requires them to adjust their behavior to the less knowledgeable audience and, hence, to behave in a more didactic manner. Eye movement modeling examples (EMMEs) are a contemporary educational tool for displaying experts' (natural or didactic) problem-solving behavior as well as their eye movements to learners. While research on expert-novice communication mainly focused on experts' changes in explicit, verbal communication behavior, it is as yet unclear whether and how exactly experts adjust their nonverbal behavior. This study first investigated whether and how experts change their eye movements and mouse clicks (that are displayed in EMMEs) when they perform a task naturally versus teach a task didactically. Programming experts and novices initially debugged short computer codes in a natural manner. We first characterized experts' natural problem-solving behavior by contrasting it with that of novices. Then, we explored the changes in experts' behavior when being subsequently instructed to model their task solution didactically. Experts became more similar to novices on measures associated with experts' automatized processes (i.e., shorter fixation durations, fewer transitions between code and output per click on the run button when behaving didactically). This adaptation might make it easier for novices to follow or imitate the expert behavior. In contrast, experts became less similar to novices for measures associated with more strategic behavior (i.e., code reading linearity, clicks on run button) when behaving didactically.

Visual problem solving is essential to highly visual and knowledge-intensive professional domains such as clinical pathology, which trainees learn by participating in relevant tasks at the workplace (apprenticeship). Proper guidance of the visual problem solving of apprentices by the master is necessary. Interaction and adaptation to the expertise level of the learner are identified as key ingredients of this guidance. This study focuses on the effect of increased participation of the learner in the task on the interaction and adaptation of the guidance by masters. Thirteen unique dyads consisting of a clinical pathologist (master) and a resident (apprentice) discussed and diagnosed six microscope images. Their dialogues were analysed on their content. The dyads were divided in two groups according to the experience of the apprentice. For each dyad, master and apprentice both operated the microscope for half of the cases. Interaction was operationalised as the equal contribution of both master and apprentice to the dialogue. Adaptation was operationalised as the extent to which the content of the dialogues was adapted to the apprentice's level. The main hypothesis stated that the interaction and adaptation increase when apprentices operate the microscope. Most results confirmed this hypothesis: apprentices contributed more content when participating more and the content of these dialogues better reflected expertise differences of apprentices. Based on these results, it is argued that, for learning visual problem solving in a visual and knowledge-intensive domain, it is not only important to externalise master performance, but also that of the apprentice.

Self-assessment and task selection are important self-regulated learning skills for secondary school students. More specifically, selecting new tasks based on self-assessments is very important for them, because teachers are not always present or able to select tasks for them individually. However, little is known about the processes underlying these self-regulated learning skills, and thus no guidelines exist for teaching self-assessment and the selection of subsequent learning-tasks. We propose a model for self-regulated learning-task selection (SRLTS) which represents a possible pathway for the task-selection process, and which students could use as a norm when making task selections. The model could help students to decide what possible new tasks might be suitable for their current skill level, based on self-assessments. The aim of this study is to evaluate to what extent secondary school students select learning tasks according to this model, and whether they use self-assessments to this end. Secondary school students (N = 15) selected learning tasks in the domain of genetics from a structured task database. The tasks varied in difficulty and amount of support provided (i.e., completion problems vs. traditional problems). We used eye tracking, performance estimates, estimates of mental effort, judgments of learning, and open questions to gain more insight in what students focus on and think about when selecting a task. Results suggest that students roughly follow the SRLTS model, but they base their decisions on inaccurate self-assessments. This implies that students might benefit from self-assessment and task-selection advice, which could provide feedback on self-assessments and stimulate students to use self-assessment information as input for task selection in the way the model prescribes to optimize their learning.

Textbooks in applied mathematics often use graphs to explain the meaning of formulae, even though their benefit is still not fully explored. To test processes underlying this assumed multimedia effect we collected performance scores, eye movements, and think-aloud protocols from students solving problems in vector calculus with and without graphs. Results showed no overall multimedia effect, but instead an effect to confirm statements that were accompanied by graphs, irrespective of whether these statements were true or false. Eye movement and verbal data shed light on this surprising finding. Students looked proportionally less at the text and the problem statement when a graph was present. Moreover, they experienced more mental effort with the graph, as indicated by more silent pauses in thinking aloud. Hence, students actively processed the graphs. This, however, was not sufficient. Further analysis revealed that the more students looked at the statement, the better they performed. Thus, in the multimedia condition the graph drew students' attention and cognitive capacities away from focusing on the statement. A good alternative strategy in the multimedia condition was to frequently look between graph and problem statement, and thus to integrate their information. In conclusion, graphs influence where students look and what they process, and may even mislead them into believing accompanying information. Thus, teachers and textbook designers should be very critical on when to use graphs and carefully consider how the graphs are integrated with other parts of the problem.

Visual expertise has been explored in numerous professions, but research on teachers' vision remains limited. Teachers' visual expertise is an important professional skill, particularly the ability to simultaneously perceive and interpret classroom situations for effective classroom management. This skill is complex and relies on an awareness of classroom events. Using eye tracking measurements and verbal think aloud, we investigated differences in how expert and novice teachers perceive problematic classroom scenes. Sixty-seven teachers participated, 35 experienced secondary school teachers (experts) and 32 teachers-in-training (novices). Participants viewed videos of authentic lessons and their eye movements were recorded as they verbalized thoughts about what they had seen in the lesson and how it was relevant to classroom management. Two different types of videos were viewed: lesson fragments showing (1) multiple events depicting disengaged students with no overt disruptions and (2) multiple events that included a prominent disruptive event affecting the class. Analysis of eye movements showed that novices' viewing was more dispersed whereas experts' was more focused. Irrespective of the video type, expert teachers focused their attention on areas where relevant information was available, while novice teachers' attention was more scattered across the classroom. Experts' perception appears to be more knowledge-driven whereas novices' appears more image-driven. Experts monitored more areas than novices, while novices skipped more areas than experts. Word usage also differed, showing that expertise was associated with a higher frequency of words referencing cognition, perception, and events than novices.

To prevent radiologists from overlooking lesions, radiology textbooks recommend "systematic viewing," a technique whereby anatomical areas are inspected in a fixed order. This would ensure complete inspection (full coverage) of the image and, in turn, improve diagnostic performance. To test this assumption, two experiments were performed. Both experiments investigated the relationship between systematic viewing, coverage, and diagnostic performance. Additionally, the first investigated whether systematic viewing increases with expertise; the second investigated whether novices benefit from full-coverage or systematic viewing training. In Experiment 1, 11 students, ten residents, and nine radiologists inspected five chest radiographs. Experiment 2 had 75 students undergo a training in either systematic, full-coverage (without being systematic) or non-systematic viewing. Eye movements and diagnostic performance were measured throughout both experiments. In Experiment 1, no significant correlations were found between systematic viewing and coverage, r = -0.10, p = 0.62, and coverage and performance, r = -0.06, p = 0.74. Experts were significantly more systematic than students F[subscript 2,25] = 4.35, p = 0.02. In Experiment 2, significant correlations were found between systematic viewing and coverage, r = -0.35, p < 0.01, but not between coverage and performance, r = 0.13, p = 0.31. Participants in the full-coverage training performed worse compared with both other groups, which did not differ between them, F[subscript 2,71] = 3.95, p = 0.02. In conclusion, the data question the assumption that systematic viewing leads to increased coverage, and, consequently, to improved performance. Experts inspected cases more systematically, but students did not benefit from systematic viewing training.

Expertise studies in the medical domain often focus on either visual or cognitive aspects of expertise. As a result, characteristics of expert behaviour are often described as either cognitive or visual abilities. This study focuses on both aspects of expertise and analyses them along three overarching constructs: (1) encapsulations, (2) efficiency, and (3) hypothesis testing. This study was carried out among clinical pathologists performing an authentic task: diagnosing microscopic slides. Participants were 13 clinical pathologists (experts), 12 residents in pathology (intermediates), and 13 medical students (novices). They all diagnosed seven cases in a virtual microscope and gave post hoc explanations for their diagnoses. The collected data included eye movements, microscope navigation, and verbal protocols. Results showed that experts used lower magnifications and verbalized their findings as diagnoses. Also, their diagnostic paths were more efficient, including fewer microscope movements and shorter reasoning chains. Experts entered relevant areas later in their diagnostic process, and visited fewer of them. Intermediates used relatively high magnifications and based their diagnoses on specific abnormalities. Also, they took longer to reach their diagnosis and checked more relevant areas. Novices searched in detail, described findings by their appearances, and uttered long reasoning chains. These results indicate that overarching constructs can justly be identified: encapsulations and efficiency are apparent in both visual and cognitive aspects of expertise.

This study investigated whether design guidelines for computer-based learning can be applied to computer-based testing (CBT). Twenty-two students completed a CBT exam with half of the questions presented in a split-screen format that was analogous to the original paper-and-pencil version and half in an integrated format. Results show that students attended to all information in the integrated format while ignoring information in the split format. Interestingly, and contrary to expectations, they worked more efficiently in the split format. A content analysis of the ignored information revealed that it was mostly not relevant to answering the questions, unnecessarily taxed students' cognitive capacity and inefficiently increased the mental effort they expended. Further comparisons of different mental effort measures indicate that mental effort had an explicit (ie, self-reports, explicit utterances) and an implicit component (ie, silent pauses in thinking-aloud, eye tracking parameters). Consequently, when designing CBT environments, not only the design of the tasks but also the content of the given information and their effect on the different aspects of mental effort must be considered.

Classroom management represents an important skill and knowledge set for achieving student learning gains, but poses a considerable challenge for beginning teachers. Understanding how teachers' cognition and conceptualizations differ between experts and novices is useful for enhancing beginning teachers' expertise development. We created a coding scheme using grounded theory to analyze expert and novice teachers' verbalizations describing classroom events and their relevance for classroom management. Four categories of codes emerged. These referred to perceptions/interpretations, thematic focus, temporality, and cognitive processing expressed. Mixed-method analysis of teachers' verbalizations yielded a number of significant effects related to participants' expertise levels. Notably, teachers' cognitive processing diverged significantly based on expertise level. Differences in focus included themes such as student learning, student discipline, and teacher interaction and influence. Experts focused on learning in the classroom and the teacher's ability to influence learning, whereas novices were more concerned with maintaining discipline and behavioral norms.

Introduction: Teachers face the intricate task of managing diverse classroom situations, directly affecting student learning outcomes. Many preservice and beginning teachers, however, find classroom management challenging. Effective classroom management hinges on the teacher's ability to notice and interpret visual cues that signal potential issues - a proficiency termed 'professional vision.' Methods: In this study, we used mobile eye-tracking glasses to assess the professional vision of 22 preservice, 17 beginning, and 19 experienced teachers as they instructed their classes. Results: Our findings revealed no discernible differences in the efficiency of visual processing across varying teaching experience levels throughout the lesson. Interestingly, by the lesson's end, preservice teachers demonstrated a slight uptick in fixation counts compared to the onset. As for perceptual span, overall teaching experience did not significantly influence the dispersion of fixations, though experienced teachers exhibited a more expansive visual span at the lesson's commencement than its conclusion. In examining mental effort, teaching experience did not notably impact the average fixation durations. Yet, preservice teachers registered a subtle decrease in fixation durations as the lesson progressed to its end. In conclusion, this study showed that professional vision manifests differently across teaching experience levels. Discussion: Given its nuanced influence on classroom management and student engagement shown in prior research, our study underscores its importance in pedagogical training. [ABSTRACT FROM AUTHOR]