Improving scientific reasoning enables students to navigate the challenges of learning science. Teachers use Lawson's classroom test of scientific reasoning (LCTSR) to measure scientific reasoning. The LCTSR is a two-tiered assessment that uses content-based questions and explanation statements. Researchers have found that if a student answers a knowledge-based question correctly but selects an incorrect explanation statement, there may be an element of guessing or an established misconception. Misconceptions are beliefs that students hold that are not based on scientific evidence. The present study added a confidence variable to the LCTSR, which measures how confident students regarded their responses in both tiers. Selecting a correct response to a knowledge-based question while providing an incorrect explanation and having a high confidence rating indicates an established misconception. The confidence variable is, therefore, a measure of an established scientific misconception and is the basis of the present study. The present study analyzed the responses of 71 first-year university students enrolled in an introductory physics course. The LCTSR results indicate that students performed the best in the conservation reasoning dimension and the worst in the proportional reasoning dimension. In all scientific reasoning dimensions, more than half the students chose the incorrect explanation for each context question. Students' confidence responses surpassed their performance in three of the 14 LCTSR items. The low frequency of correct answers and the statistically significant correlation between LCTSR items and confidence suggest possible misconceptions in students' scientific reasoning skills.
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http://dx.doi.org/10.1016/j.heliyon.2023.e17349 | DOI Listing |
J Exp Psychol Hum Percept Perform
January 2025
Department of Psychology, Rutgers University, Newark.
Growing evidence highlights the predictive power of cross-notation magnitude comparison (e.g., 2/5 vs.
View Article and Find Full Text PDFDiagnosis (Berl)
January 2025
Scientific and Osteopathic Research Department, Institut de Formation en Ostéopathie du Grand Avignon IFO-GA, Avignon, France.
Objectives: Although cognitive biases are one of the most frequent causes of diagnostic errors, their influence remains underestimated in allied health professions, especially in osteopathy. Yet, a part of osteopathic clinical reasoning and diagnosis rely on the practitioner's intuition and subjective haptic perceptions. The aim of this study is to highlight links between the cognitive biases perceived by the practitioner to understand cognitive patterns during osteopathic diagnosis, and to suggest debiasing strategies.
View Article and Find Full Text PDFPublic Health Nutr
January 2025
Department of Epidemiology, Human Genetics, and Environmental Science, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77030. USA.
Objective: We qualitatively examine the grocery shopping behaviors and fruit and vegetable consumption of low-income families participating in the Brighter Bites program in Houston, Texas.
Design: We used a single-group observational study design. We used (1) purposive sampling of schools and (2) convenience sampling of parents/caregivers to recruit participants.
Arch Clin Neuropsychol
January 2025
Center for Neuropsychological and Psychological Assessment, Kennedy Krieger Institute, Baltimore, MD, USA.
Objective: The COVID-19 pandemic highlighted the need to build an evidence base to support teletesting as an equivalent modality for standardized neuropsychological assessment. As such, the purpose of this study was twofold. First, this study evaluated teletesting equivalency of standardized reading achievement measures during COVID-19 in children ages 6-16.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Background: The integration of traditional Chinese medicine (TCM) into emergency health systems in China serves as a model for global policy development and refining the inclusion of traditional medicine in health emergencies.
Methods: This study investigated 13 public health emergency policies related to TCM released by the Chinese central government from 2003-2023. A PMC(Policy Modeling Consistency) index model was developed combining ROSTCM text mining analysis software.
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