The Collegiate Learning Assessment (CLA) is a computer administered, open-ended (as opposed to multiple-choice) test of analytic reasoning, critical thinking, problem solving, and written communication skills. Because the CLA has been endorsed by several national higher education commissions, it has come under intense scrutiny by faculty members, college administrators, testing experts, legislators, and others. This article describes the CLA's measures and what they do and do not assess, how dependably they measure what they claim to measure, and how CLA scores differ from those on other direct and indirect measures of college student learning. For instance, analyses are conducted at the school rather than the student level and results are adjusted for input to assess whether the progress students are making at their school is better or worse than what would be expected given the progress of "similarly situated" students (in terms of incoming ability) at other colleges.
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http://dx.doi.org/10.1177/0193841X07303318 | DOI Listing |
PLoS One
December 2024
Department of Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya, Indonesia.
Aviation College is a higher education institution that shifted to e-Learning as the education platform during the COVID-19 Pandemic. This shift has posed challenges, especially in developing countries like the Philippines. This study aims to evaluate students' intentions toward using an e-learning platform at a collegiate aviation institution during the pandemic by employing an integrated extended Technology Acceptance Model (TAM) and Seddon's Information System (IS) Success Model.
View Article and Find Full Text PDFHealth Educ Res
December 2024
Health Research Institute, Sheffield Hallam University, Howard Street, Sheffield S1 1WB.
Physical activity (PA) is recommended in clinical practice guidelines as effective for the management of polycystic ovary syndrome (PCOS). However, adherence to PA interventions is low in this population, and long-term uptake of PA is a challenge. We conducted a feasibility trial of two PA interventions for women with PCOS.
View Article and Find Full Text PDFFront Neurol
November 2024
Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, United States.
BMC Med Educ
November 2024
Department of Medicine, Division of Primary Care and Population Health, Stanford University School of Medicine, Stanford Clinical Summer Internship, Stanford, CA, USA.
Environ Sci Technol Lett
November 2024
School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Screening ionic liquids (ILs) with low viscosity, low toxicity, and high CO absorption using machine learning (ML) models is crucial for mitigating global warming. However, when candidate ILs fall into the extrapolation zone of ML models, predictions may become unreliable, leading to poor decision-making. In this study, we introduce a "representation uncertainty" (RU) approach to quantify prediction uncertainty by employing four IL representations: molecular fingerprint, molecular descriptor, molecular image, and molecular graph.
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