Articles with "students performance" as a keyword



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Virtual aids and students' performance with haptic simulation in implantology.

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Published in 2022 at "Journal of dental education"

DOI: 10.1002/jdd.12916

Abstract: OBJETIVES This study aims to validate that haptic simulator assistance could improve drilling ability in implantology and that the repetition of training session could highlight a learning curve. METHODS This work was carried out with… read more here.

Keywords: assistance; simulator; aids students; virtual aids ... See more keywords
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Weekly near-peer tutoring sessions improve students’ performance on basic medical sciences and USMLE Step1 examinations

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Published in 2022 at "Medical Teacher"

DOI: 10.1080/0142159x.2022.2027901

Abstract: Abstract Purpose This study examined the relationship between attendance at weekly near-peer tutoring (NPT) sessions offered in the second year of medical school and academic performance on basic science and USMLE Step 1 examinations. Methods… read more here.

Keywords: students performance; attendance; performance basic; peer tutoring ... See more keywords
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Comparing Different Resampling Methods in Predicting Students’ Performance Using Machine Learning Techniques

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2986809

Abstract: In today’s world, due to the advancement of technology, predicting the students’ performance is among the most beneficial and essential research topics. Data Mining is extremely helpful in the field of education, especially for analyzing… read more here.

Keywords: different resampling; performance; machine; students performance ... See more keywords
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Early Predicting of Students Performance in Higher Education

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3250702

Abstract: Students learning performance is one of the core components for assessing any educational systems. Students performance is very crucial in tackling issues of learning process and one of the important matters to measure learning outcomes.… read more here.

Keywords: performance; early predicting; education; students performance ... See more keywords
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Prediction of medical sciences students’ performance on high-stakes examinations using machine learning models: a protocol for a systematic review

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Published in 2023 at "BMJ Open"

DOI: 10.1136/bmjopen-2022-064956

Abstract: Introduction Predicting medical science students’ performance on high-stakes examinations has received considerable attention. Machine learning (ML) models are well-known approaches to enhance the accuracy of determining the students’ performance. Accordingly, we aim to provide a… read more here.

Keywords: high stakes; stakes examinations; review; performance high ... See more keywords
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Optimization of Students' Performance Prediction through an Iterative Model of Frustration Severity

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Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/3183492

Abstract: Recent articles reported a massive increase in frustration among weak students due to the outbreak of COVID-19 and Massive Open Online Courses (MOOCs). These students need to be evaluated to detect possible psychological counseling and… read more here.

Keywords: frustration; frustration severity; optimization; students performance ... See more keywords
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The Predictive Validity of Prior Academic Achievement as an Indicator of Medical Students’ Performance at University of Khartoum

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Published in 2019 at "Academic Medicine"

DOI: 10.22037/jme.v18i3.26131

Abstract: Background: There is emphasis on the selection method that better predicts doctors’ performance. Universities select medical students based mainly and sometimes solely on high academic achievement. Claims were often made for some minimum threshold ability… read more here.

Keywords: medicine; academic achievement; performance; medical students ... See more keywords
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Examining the Differences of Hong Kong and Taiwan Students’ Performance on the Number Sense Three-tier Test

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Published in 2018 at "Eurasia journal of mathematics, science and technology education"

DOI: 10.29333/ejmste/91682

Abstract: Assessing elementary students’ performance on number sense provides early predictors and support for interventions in teaching and learning number sense before children fall seriously behind in school. There is no study that concerns the differences… read more here.

Keywords: students performance; number sense; performance number; performance ... See more keywords
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Physiotherapy Students' Performance in Clinical Education: An Analysis of 1 Year of Canadian Cross-Sectional Data.

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Published in 2021 at "Physiotherapy Canada. Physiotherapie Canada"

DOI: 10.3138/ptc-2020-0018

Abstract: Purpose: This research examines 1 year of cross-sectional, Canada-wide ratings from clinical instructors using the Canadian Physiotherapy Assessment of Clinical Performance (ACP) and analyzes the performance profiles of physiotherapy students' performance ratings over the course… read more here.

Keywords: sectional data; performance; students performance; physiotherapy ... See more keywords
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Students’ performance of and perspective on an objective structured practical examination for the assessment of preclinical and practical skills in biomedical laboratory science students in Sweden: a 5-year longitudinal study

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Published in 2023 at "Journal of Educational Evaluation for Health Professions"

DOI: 10.3352/jeehp.2023.20.13

Abstract: Purpose It aims to find students’ performance of and perspectives on an objective structured practical examination (OSPE) for assessment of laboratory and preclinical skills in biomedical laboratory science (BLS). It also aims to investigate the… read more here.

Keywords: laboratory; biomedical laboratory; assessment; students performance ... See more keywords
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Analyzing and Predicting Students’ Performance by Means of Machine Learning: A Review

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Published in 2020 at "Applied Sciences"

DOI: 10.3390/app10031042

Abstract: Predicting students’ performance is one of the most important topics for learning contexts such as schools and universities, since it helps to design effective mechanisms that improve academic results and avoid dropout, among other things.… read more here.

Keywords: machine learning; students performance; analyzing predicting; performance ... See more keywords