A Mixed Method Analysis of Student Satisfaction with Active Learning Techniques in an Online Graduate Anatomy Course: Consideration of Demographics and Previous Course Enrollment.
Sign Up to like & getrecommendations! Published in 2023 at "Anatomical sciences education"
DOI: 10.1002/ase.2276
Abstract: Online learning has become an essential part of mainstream higher education. With increasing enrollments in online anatomy courses, a better understanding of effective teaching techniques for the online learning environment is critical. Active learning has… read more here.
Keywords: course; anatomy; active learning; student satisfaction ... See more keywords
Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings
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DOI: 10.1002/asi.23936
Abstract: This article demonstrates the benefits of using sequence representations based on word embeddings to inform the seed selection and sample selection processes in an active learning pipeline for clinical information extraction. Seed selection refers to… read more here.
Keywords: active learning; seed; information; sequence representations ... See more keywords
Effectiveness of blended instructional design based on active learning in a graphic engineering course
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DOI: 10.1002/cae.22338
Abstract: Encouraging the use of active‐learning methodologies, both inside and outside the classroom by means of planned activities, is a key factor in effective learning, as well as being essential for students to achieve the goals… read more here.
Keywords: active learning; engineering; course; blended instructional ... See more keywords
Chemogenomic Active Learning's Domain of Applicability on Small, Sparse qHTS Matrices: A Study Using Cytochrome P450 and Nuclear Hormone Receptor Families
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DOI: 10.1002/cmdc.201700677
Abstract: Computational models for predicting the activity of small molecules against targets are now routinely developed and used in academia and industry, partially due to public bioactivity databases. While models based on bigger datasets are the… read more here.
Keywords: active learning; hormone receptor; nuclear hormone; cytochrome p450 ... See more keywords
Producing chemically accurate atomic Gaussian process regression models by active learning for molecular simulation
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.27006
Abstract: Machine learning is becoming increasingly more important in the field of force field development. Never has it been more vital to have chemically accurate machine learning potentials because force fields become more sophisticated and their… read more here.
Keywords: active learning; regression models; chemically accurate; gaussian process ... See more keywords
Effect of shift to virtual teaching on active learning: A snapshot.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of dental education"
DOI: 10.1002/jdd.12910
Abstract: PURPOSE Active learning engages students via interaction for deeper understanding and retention. A global pandemic resulted in an abrupt mid-semester transition from in-person to virtual learning. This study examined student reporting on active learning before… read more here.
Keywords: active learning; frequency; learning; person ... See more keywords
An active-learning probabilistic neural network for feasibility classification of constrained engineering optimization problems
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DOI: 10.1007/s00366-021-01441-4
Abstract: Constrained optimization problems (COPs) with multiple computational expensive constraints are commonly encountered in simulation-based engineering designs. During the optimization process, the feasibility analysis of the intermediate solutions depends on the computational simulations will be computationally… read more here.
Keywords: engineering; classification; active learning; optimization ... See more keywords
Tri-partition cost-sensitive active learning through kNN
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DOI: 10.1007/s00500-017-2879-x
Abstract: Active learning differs from the training–testing scenario in that class labels can be obtained upon request. It is widely employed in applications where the labeling of instances incurs a heavy manual cost. In this paper,… read more here.
Keywords: region; tri partition; active learning; cost ... See more keywords
Active Learning of the HL7 Medical Standard
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DOI: 10.1007/s10278-018-0134-3
Abstract: Health Level Seven (HL7®) is a standard for exchanging information between medical information systems. It is widely deployed and covers the exchange of information in several functional domains. It is very important and crucial to… read more here.
Keywords: active learning; information; hl7 medical; learning hl7 ... See more keywords
OPTCON3: An Active Learning Control Algorithm for Nonlinear Quadratic Stochastic Problems
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DOI: 10.1007/s10614-019-09949-0
Abstract: In this paper, we describe the new OPTCON3 algorithm, which serves to determine approximately optimal policies for stochastic control problems with a quadratic objective function and nonlinear dynamic models. It includes active learning and the… read more here.
Keywords: active learning; control; optimal policies; optcon3 algorithm ... See more keywords
How Active is Active Learning: Value Function Method Versus an Approximation Method
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DOI: 10.1007/s10614-020-09968-2
Abstract: In a previous paper Amman et al. (Macroecon Dyn, 2018) compare the two dominant approaches for solving models with optimal experimentation (also called active learning), i.e. the value function and the approximation method. By using… read more here.
Keywords: value function; approximation method; active learning;