Alignment studies can offer valuable insights to educators about the effectiveness of the course objectives, assessments, and teaching. In this particular study, the aim was to determine the extent to which teacher-made tests aligned with the learning objectives of natural science subjects. The study included a total of 180 learning objectives (46 from Biology, 71 from Chemistry, and 63 from Physics) and 88 test items (30 from Biology, 30 from Chemistry, and 28 from Physics). Bloom's revised taxonomy was used to identify, organize, and code the objectives and test items. Porter's alignment index was used to analyze the data, allowing for determining the degree of alignment between tests and learning objectives. The results showed that the overall alignment between teacher-made tests with course objectives was 45 % for Biology, 46 % for Chemistry, and 62 % for Physics. The study also found that a dependable degree of alignment was not yet established between learning objectives and tests. Therefore, it was suggested that teachers should use assessment procedures and blueprints that consider higher-order cognitive levels and expected learning objectives. Further investigations are also required to determine whether students are meeting the expected learning objectives and moving to the next grade level.
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http://dx.doi.org/10.1016/j.heliyon.2024.e31869 | DOI Listing |
Curr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
Ann Surg
January 2025
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Objective: To assess performance of an algorithm for automated grading of surgery-related adverse events (AEs) according to Clavien-Dindo (C-D) classification.
Summary Background Data: Surgery-related AEs are common, lead to increased morbidity for patients, and raise healthcare costs. Resource-intensive manual chart review is still standard and to our knowledge algorithms using electronic health record (EHR) data to grade AEs according to C-D classification have not been explored.
Cancer Med
January 2025
Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China.
Background: Distinctive heterogeneity characterizes diffuse large B-cell lymphoma (DLBCL), one of the most frequent types of non-Hodgkin's lymphoma. Mitochondria have been demonstrated to be closely involved in tumorigenesis and progression, particularly in DLBCL.
Objective: The purposes of this study were to identify the prognostic mitochondria-related genes (MRGs) in DLBCL, and to develop a risk model based on MRGs and machine learning algorithms.
J Educ Health Promot
November 2024
Department of Biostatistics, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
Background: Agile methodology (AM) is an innovative, active, project-based learning method. The scrum is a popular agile framework widely used in project management and education. This study evaluates the opinions on agile adaptation in nursing curricula among nursing students to identify how AM can be applied in higher education to facilitate learning.
View Article and Find Full Text PDFJ Educ Health Promot
November 2024
Department of Dravyaguna, Mahatma Gandhi Ayurved College, Hospital and Research Centre, Salod (H), Datta Meghe Institute of Higher Education and Research (Deemed to be University), Wardha, Maharashtra, India.
Teaching and learning are two sides of the same coin. Ayurveda, the ancient system of medicine that originated in India, has a long history of teaching and learning methods. In the early days, Ayurvedic knowledge was primarily transmitted through oral tradition, with teachers passing down their knowledge to students through direct communication.
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