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Diagnosing orthopantomograms (OPTs: panoramic radiographs) is an essential skill dentistry students acquire during university training. While prior research described experts' visual search behavior in radiology as global-to-focal for chest radiographs and mammography, generalizability to a hybrid search task in OPTs (i.e., searching for multiple, diverse anomalies) remains unclear. Addressing this gap, this study investigated visual search of N = 107 dentistry students while they were diagnosing anomalies in OPTs. Following a global-to-focal expert model, we hypothesized that students would use many, short fixations representing global search in earlier stages, and few, long fixations representing focal search in later stages. Furthermore, pupil dilation and mean fixation duration served as cognitive load measures. We hypothesized that later stages would be characterized by elaboration and a reflective search strategy, leading to higher cognitive load being associated with higher diagnostic performance in late compared to earlier stages. In line with the first hypothesis, students' visual search comprised of a three-stage process that grew increasingly focal in terms of the number of fixations and anomalies fixated. Contrary to the second hypothesis, mean fixation duration during anomaly fixations was positively associated with diagnostic performance across all stages. As OPTs greatly varied in how difficult it was to identify the anomalies contained therein, OPTs with above-average difficulty were sampled for exploratory analysis. Pupil dilation predicted diagnostic performance for difficult OPTs, possibly capturing elaborative cognitive processes and cognitive load compared to mean fixation duration. A visual analysis of fine-grained time slices indicated large cognitive load differences towards the end of trials, showcasing a richness-resolution-trade-off in data sampling crucial for future studies using time-slicing of eye tracking data. [ABSTRACT FROM AUTHOR]

There is ample evidence that multimedia learning is challenging, and learners often underutilize appropriate cognitive processes. Previous research has applied prompts to promote the use of helpful cognitive processing. However, prompts still require learners to regulate their learning, which may interfere with learning, especially in situations where cognitive demands are already high. As an alternative, implementation intentions (i.e. if‐then plans) are expected to help regulate behaviour automatically due to their specific wording, thereby offloading demands. Accordingly, this study aimed at investigating whether implementation intentions compared with prompts improve learning performance, especially under high cognitive load. Students (N = 120) learned either in a control condition without instructional support, with prompts, or with implementation intentions. Within each condition, half of the participants studied the multimedia instruction under conditions of either high or low cognitive load, which was experimentally manipulated by instructing them to perform one of two secondary tasks. In line with our hypotheses, the results showed that under low cognitive load, both prompts and implementation intentions led to better learning than the control condition. By contrast, under high cognitive load, only implementation intentions promoted learning. Thus, implementation intentions are an efficient means to promote learning even under challenging circumstances. [ABSTRACT FROM AUTHOR]

In multimedia learning, graphs are seen as just one specific instance of pictorial representations requiring the same cognitive processes as realistic depictions. Accordingly, learning from text‐graph combinations should also benefit from the same instructional support such as signaling of text‐picture correspondences depending on learners' prior knowledge. We investigated whether this expertise reversal of the signaling effect could be replicated for text‐graph combinations. Students (N = 101) with different prior knowledge levels learned with text‐graph combinations that were either enhanced with signals or not. Results indicate an expertise reversal effect on learning outcomes. A moderated mediation analysis of students' visual attention showed that this pattern could be explained by the fact that students with low prior knowledge (LPK) fixated the graph information earlier, whereas high prior knowledge students fixated the graph later when signals were present. Our results suggest that instructional support should be adapted to students' prior knowledge. [ABSTRACT FROM AUTHOR]

Expert behavior is characterized by rapid information processing abilities, dependent on more structured schemata in long-term memory designated for their domain-specific tasks. From this understanding, expertise can effectively reduce cognitive load on a domain-specific task. However, certain tasks could still evoke different gradations of load even for an expert, e.g., when having to detect subtle anomalies in dental radiographs. Our aim was to measure pupil diameter response to anomalies of varying levels of difficulty in expert and student dentists' visual examination of panoramic radiographs. We found that students' pupil diameter dilated significantly from baseline compared to experts, but anomaly difficulty had no effect on pupillary response. In contrast, experts' pupil diameter responded to varying levels of anomaly difficulty, where more difficult anomalies evoked greater pupil dilation from baseline. Experts thus showed proportional pupillary response indicative of increasing cognitive load with increasingly difficult anomalies, whereas students showed pupillary response indicative of higher cognitive load for all anomalies when compared to experts. [ABSTRACT FROM AUTHOR]

The purpose of this study was to shed light on the cognitive processes underlying the expertise reversal effect related to multimedia signaling. Multimedia signals highlight correspondences between text and pictures, which is supposed to support text-picture integration and thus learning from multimedia. Previous research suggests that learners' prior knowledge moderates the multimedia signaling effect in that they only aid learners with low prior knowledge (LPK). We conducted an eye tracking study with students in secondary education who learned with a digital textbook in one of the two versions: (a) a basic version with mostly text signals only (e.g., bold face), or (b) an extended version with additional multimedia signals that aimed at supporting text-picture integration (e.g., color coding of corresponding text and picture elements). In addition to learning outcomes, we assessed students' cognitive load and gaze behavior as process measures. Results revealed that only LPK learners were supported in learning whereas HPK learners were not affected by multimedia signals (partial expertise reversal). A moderated mediation analysis revealed that multimedia signals affected gaze behavior of LPK students in that they looked earlier at pictures. For high prior knowledge students multimedia signals lead to a higher subjective germane cognitive load. Thus, multimedia signals affected processing of materials. However, the process measures did not explain the expertise reversal of the signaling effect regarding learning outcome. [ABSTRACT FROM AUTHOR]

Summary: Although the presentation of extraneous (i.e., irrelevant or unnecessary) information hinders learning, it is unclear whether and how layout and pacing influence this effect. In two experiments, participants learned how the heart functions using four different layouts: a diagram presented without unnecessary text (diagram only), with unnecessary text separated from the diagram (separated) or integrated into the diagram (integrated), or with separated unnecessary text and the instruction to integrate (integration instruction). In Experiment 1, study time was self‐paced for half of the participants and system paced for the other half. There were no effects of layout and of pacing on learning, although system pacing was more effortful than self‐pacing. In Experiment 2, which was system paced and employed eye tracking, the integrated condition showed worse learning outcomes than the separated condition. Moreover, in the integrated condition, participants made more integration attempts between the unnecessary text and the diagram than in the separated condition. [ABSTRACT FROM AUTHOR]

Abstract: The presentation of extraneous (i.e., irrelevant or unnecessary) information may hamper learning with multimedia. The present study examined whether people can learn to ignore unnecessary information with increasing experience with the task and whether this depends on the layout of that information. In two experiments, participants learned about the process of mitosis from a multimedia slideshow, with each slide presenting a combination of expository text and a picture on one of the stages in the process. Slides either contained no unnecessary text (control condition) or unnecessary text (i.e., merely describing the picture) either integrated in the picture (integrated condition) or presented underneath the picture (separated condition). Knowledge about the studied mitosis phase was tested immediately after each slide using a cloze test. Across Experiments 1 and 2, we did not find a reliable negative effect of the unnecessary text on cloze test performance. As a result, the question of whether task experience would reduce or eliminate that negative effect could not be answered. The eye movement data did confirm, however, that participants attended less to the unnecessary information with increasing task experience, suggesting that students can adapt their study strategy and learn to ignore unnecessary information. [ABSTRACT FROM AUTHOR]

Abstract: In this study we investigated the influence of text modality on learning with static and dynamic visualizations in a dynamic domain, namely the physical principles underlying fish locomotion. A 2×2-design with type of visualization (static vs. dynamic) and text modality (spoken vs. written) as independent variables was used. Concerning learning outcomes, it was hypothesized that (1) learners presented with dynamic visualizations would outperform learners presented with static visualizations, (2) learners presented with spoken text would outperform learners presented with written text, and (3) an interaction between type of visualization and modality would occur: the superiority of dynamic over static visualizations was expected to be more pronounced for spoken compared to written text. Subjective cognitive load measures were assessed and expected to mirror the aforementioned pattern of learning outcomes in accordance with Cognitive Load Theory (i.e., higher extraneous cognitive load (ECL) related to lower learning outcomes). For transfer tasks, the first two hypotheses could be confirmed. However, there was no interaction. Moreover, ECL was rated higher by subjects when learning with static compared to dynamic visualizations, but there were no differences for ECL with respect to the text modality. The results are discussed within the framework of Cognitive Load Theory. [ABSTRACT FROM AUTHOR]

Abstract: This paper reports on an experiment investigating the effects of different kinds of computer-based visualizations on the acquisition of problem-solving skills in the domain of probability theory. Learners received either purely text-based worked examples, text plus an instruction to mentally imagine the examples’ contents, or the possibility of retrieving either static pictures or concrete animations that depicted the problem statement and the problem states achieved by applying a specific solution-step. It could be shown that frequent use of both static pictures and imagining the examples’ contents improved performance on isomorphic problems. Frequent use of animations, in contrast, led to substantial increases in learning time and a decrease in performance. Thus, the use of concrete animations to visualize solution procedures was more harmful than helpful for conveying problem-solving skills. Reasons for these outcomes are discussed in the light of cognitive load theory. [Copyright &y& Elsevier]

Expert behavior extends from rapid information processing abilities [1], which relates to more structured working memory designated for their domain-specific tasks [2] and reflects cognitive load. Much of the literature has used pupil dilation changes as an indicator of cognitive load [3] in an n-back task. Our aim was to see how generalizable the pupil diameter is to cognitive load for expert dentists and students during dental X-Ray examination. First year dental students (n = 50) and experts (n = 26) in the university clinic viewed panoramic radiographs with instructions to find areas that could be indicative of pathologies (see [4] for methods). We measured percent pupil dilation change from baseline from both groups as well as fixation and saccade behavior from the left eye after comprehensive pre-processing. Median pupil percent change and variance were then used as features for 10 different machine learning classifiers with a cost function for expert misclassification . With pupil information alone, the average accuracy for all classifiers was 64.93%. However, for the same classifiers with the gaze feature in combination with the pupil dilation change were trained, the average accuracy was 80.52%, with one exception . Therefore, using pupil dilation alone was not able to distinguish experts from students with high accuracy. These results stress that pupil diameter alone may not be a strong indicator or cognitive load [5], and that other features may be needed for better classification. [ABSTRACT FROM AUTHOR]

In two experiments it was investigated how drawing as a monitoring task affects self-regulated learning and cognitive load. To this end, participants (Exp. 1: N = 73, Exp. 2: N = 69) were randomly assigned to one of two conditions. In the experimental condition, students were asked to read an expository text on the formation of polar lights consisting of five paragraphs, whereby, after each paragraph, they had to create a drawing of the text's content. In the control condition, students read the same text, but performed no drawing task. In both conditions, students had to give judgments of learning (JoLs) after each paragraph and after reading the whole text as well as rate their cognitive load. Then, they were asked to select paragraphs for restudy. In Experiment 1, participants continued with an assessment of their learning outcomes immediately after their restudy selection, whereas in Experiment 2 they were first given the opportunity to actually restudy the selected paragraphs before working on the posttest. Results of both experiments indicate that JoLs rather than cognitive load predicted posttest performance. Moreover, students in the drawing condition compared with the control condition exhibited more accurate (relative) monitoring in Experiment 1 in that their JoLs were more strongly related to performance. Moreover, JoLs predicted students' restudy decisions in both experiments; however, this effect was by-and-large independent of whether they had to draw. Overall, results hint towards the potential of drawing to support metacognitive monitoring. [ABSTRACT FROM AUTHOR]

Abstract: Research has shown that guiding students’ attention guides their thought, and that attention can be communicated via eye movements. Therefore, this study investigates whether such a procedure can further enhance the effectiveness of examples in which a solution procedure is demonstrated to students by a (expert) model. Students’ attention was guided by showing them not only the model’s problem-solving actions on the computer screen, but also the model’s eye movements while doing so. Interestingly, results show that combined with a verbal description of the thought process, this form of attention guidance had detrimental effects on learning. Consequences for further research on attention guidance and instructional design are discussed. [Copyright &y& Elsevier]