Adaptive feedback from artificial neural networks facilitates pre-service teachers’ diagnostic reasoning in simulation-based learning

Learning and Instruction, Год журнала: 2022, Номер 83, С. 101620 - 101620

Опубликована: Апрель 11, 2022

In simulations, pre-service teachers need sophisticated feedback to develop complex skills such as diagnostic reasoning. an experimental study with N = 178 about simulated pupils learning difficulties, we investigated the effects of automatic adaptive feedback, which is based on artificial neural networks, teachers' Diagnostic reasoning was operationalised accuracy and quality justifications. We compared static provided in form expert solution. Further, experimentally manipulated whether learners worked individually or dyads computer lab-based simulations. Results show that facilitates justifications written assignments, but not their accuracy. even had detrimental process dyads. Automatic simulations offers scalable, elaborate, process-oriented real-time high numbers students higher education.

Язык: Английский

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Toward an Overarching Framework for Systematizing Research Perspectives on Diagnostic Thinking and Practice

Journal für Mathematik-Didaktik, Год журнала: 2022, Номер 43(1), С. 13 - 38

Опубликована: Март 1, 2022

Abstract Assessing students’ learning processes and products is considered a core requirement of effective teaching. As such, it an object research in several disciplines areas. To structure the various corresponding perspectives provide broader, yet still systematic view field, we propose overarching framework that allows for systematizing foci interest, goals, methodologies, theoretical premises as four integral aspects conducting this area. We demonstrate benefits by using tool to analyze systematize previous from different perspectives. Based on framework, discuss strengths limitations existing studies and, particular, highlight are rarely explicitly addressed but become more obvious framework. In addition, directions future drawing connections within between Our analyses illustrate how can foundation synthesis inform studies.

Язык: Английский

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Cognitive and Motivational Person Characteristics as Predictors of Diagnostic Performance: Combined Effects on Pre-Service Teachers’ Diagnostic Task Selection and Accuracy

Journal für Mathematik-Didaktik, Год журнала: 2022, Номер 43(1), С. 135 - 172

Опубликована: Март 1, 2022

Abstract The acquisition of diagnostic competences is an essential goal teacher education. Thus, evidence on how learning environments facilitate pre-service teachers’ corresponding important. In education, approximations practice (such as simulations) are discussed being that can support learners in activating acquired knowledge authentic situations. Simulated interviews recommended to foster competences. conceptualization highlights the importance cognitive and motivational characteristics. Motivational theories predict activation situations may be influenced by characteristics such individual interest. Although constitute increasing research focus, interact when shaping process accuracy remains open question. To address this question, we report data from 126 simulated one-on-one conducted 63 secondary school mathematics teachers (students assistants), studying combined effects interest professional accuracy. addition main effect content knowledge, interaction indicate participants’ plays role a “door-opener” for during simulation-based learning. results highlight both, This implies should designed arouse their or less interested relevant knowledge.

Язык: Английский

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The relation between learners’ experience in simulations and diagnostic accuracy: Generalizability across medical and teacher education

Computers in Human Behavior Reports, Год журнала: 2024, Номер 15, С. 100454 - 100454

Опубликована: Июль 5, 2024

Simulation-based learning is being increasingly implemented across different domains of higher education to facilitate essential skills and competences (e.g. diagnostic skills, problem-solving, etc.). However, the lack research that assesses compares simulations used in contexts (e.g., from design perspective) makes it challenging effectively transfer good practices or establish guidelines for effective domains. This study suggests some initial steps address this issue by investigating relations between learners' experience simulation-based environments accuracy several types simulations, with goal facilitating cross-domain generalizability. The findings demonstrate ratings are correlated objective performance measures, can be meaningful comparisons Measures perceived extraneous cognitive load were found specific simulation situation, while involvement authenticity not. Further, negative correlation was more pronounced interaction-based simulations. These results provide supporting evidence theoretical models highlight connection simulated their performance. Overall, contributes understanding relationship accuracy, paving way dissemination best within education.

Язык: Английский

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Who is on the right track? Behavior-based prediction of diagnostic success in a collaborative diagnostic reasoning simulation

Large-scale Assessments in Education, Год журнала: 2023, Номер 11(1)

Опубликована: Янв. 20, 2023

Abstract Background Making accurate diagnoses in teams requires complex collaborative diagnostic reasoning skills, which require extensive training. In this study, we investigated broad content-independent behavioral indicators of accuracy and checked whether how quickly could be predicted from these when they were displayed a simulation. Methods A total 73 medical students 25 physicians asked to diagnose patient cases training simulation with the help an agent-based radiologist. Log files automatically coded for activities (CDAs; i.e., evidence generation, sharing eliciting hypotheses, drawing conclusions). These codes transformed into bigrams that contained information about time spent on transitions between CDAs. Support vector machines linear kernels, random forests, gradient boosting trained classify diagnostician provide correct diagnosis basis Results All algorithms performed well predicting testing phases. Yet, forest was selected as final model because its better performance (kappa = .40) phase. The success higher precision than it failure (sensitivity .90; specificity .46). reliable prediction possible after two thirds median task. Most important certain individual activities, such generation (typical diagnoses), inaccurate diagnoses). Conclusions This study advances understanding differences processes successful unsuccessful diagnosticians. Taking generate at beginning task can build initial adequate representation case prestructures subsequent is crucial making diagnoses. used adaptive process-based feedback learners are right track. Moreover, early instructional support might diagnosticians improve prepare effective collaboration. addition, ability identify even before completion adjust difficulty real time.

Язык: Английский

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Handlungsnahe Kompetenzmessung in der Lehrkräftebildungsforschung – Eine Übersichtsarbeit zu Eigenschaften von Messinstrumenten in der DACH-Region.

Zeitschrift für Erziehungswissenschaft, Год журнала: 2023, Номер 26(3), С. 751 - 778

Опубликована: Июнь 1, 2023

Abstract In recent years, a new branch of teacher competence research has emerged in which is measured close to teaching performance. Such so-called performance assessment approaches are gaining increasing attention, but the field still fragmented. A lack overview and varying reporting practices interfere with its coherent development. This scoping literature review provides an advances current state instruments education German-speaking countries. We examined that provide objective, standardised measurement procedures based on observable behaviour regarding demands. Based 20 instruments, category system 14 categories was inductively developed, capturing their characteristics terms context, test methods, alignment criteria for assessment. Despite considerable variation, three types could be identified through qualitative exploratory statistical analyses. The results show continuity as well development compared previous reviews suggestions advancing still-emerging field. For example, they can used foster coherence by providing information typical instrument differences similarities essential

Язык: Английский

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Diagnosing Collaboratively: A Theoretical Model and a Simulation-Based Learning Environment

Springer eBooks, Год журнала: 2022, Номер unknown, С. 123 - 141

Опубликована: Янв. 1, 2022

Язык: Английский

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Self-Regulated Learning Strategies as Predictors of Perceived Learning Gains among Undergraduate Students in Ethiopian Universities

Education Sciences, Год журнала: 2022, Номер 12(7), С. 468 - 468

Опубликована: Июль 6, 2022

Despite increasing focus on the importance of self–regulated learning for undergraduate students in universities recent years, very little is known about its specific features developing countries, general, and Ethiopia, particular. This study examined relationships self-regulated strategies (SRLSs) with perceived further assessed within SRLS components Ethiopian public universities. For this, authors adopted Pintrich’s self-regulation theory as a guiding framework used structural equation modeling (SEM) analysis. The sample analysis pooled survey data from three randomly selected included volunteer having major Business Economics Engineering Technology fields (n = 1142; male 700 female 442), mean age 21.98 SD 2.50. results indicated that student gains scores were average values terms magnitude those measured variables. A two–step hierarchical regression showed five emerged SEM significantly predicted students’ over above control variables (ΔR2 ≥ 0.38 39%) total samples. Moreover, greater predictions observed help–seeking component (0.35 ≤ β 0.47) than others, positively predicting Overall, findings this indicate SRLSs are relevant mechanisms to aid success higher education. implications highlighted.

Язык: Английский

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Diagnosing Mathematical Argumentation Skills: A Video-Based Simulation for Pre-Service Teachers

Springer eBooks, Год журнала: 2022, Номер unknown, С. 33 - 47

Опубликована: Янв. 1, 2022

Язык: Английский

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Representational scaffolding in digital simulations – learning professional practices in higher education

Опубликована: Июнь 12, 2022

To advance the learning of professional practices in teacher education and medical education, this conceptual paper introduces idea representational scaffolding for digital simulations higher education. We outline ideas core two important fields namely facilitate future professionals’ relevant practices, we emphasize role approximation practice through use simulations, as they offer multiple options selecting adjusting representations situations. Furthermore, introduce to adjust demands task by modifying match learner characteristics. Building on research problem-solving scientific reasoning, identify leverage points employing scaffolding. suggest four sets scaffolds that target features situations simulations: informational complexity, typicality, required agency, situation dynamics. Representational might be implemented a strategy approximating involves media design, sequencing, adaptation The outlined conceptualization can systematize design contribute advancement further engage practices. This offers necessary foundation terminology approaching related research. https://doi.org/10.1108/ILS-06-2022-0076

Язык: Английский

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