Novice and expert teachers' time epistemology: A wave function from didactics to pedagogy DOI

François Tochon,

Hugh Munby

Teaching and Teacher Education, Journal Year: 1993, Volume and Issue: 9(2), P. 205 - 218

Published: April 1, 1993

Language: Английский

A Study of Reproduction in Generational and Steady-State Genetic Algorithms DOI

Gilbert Syswerda

Foundations of genetic algorithms, Journal Year: 1991, Volume and Issue: unknown, P. 94 - 101

Published: Jan. 1, 1991

Language: Английский

Citations

657

Outlook on human-centric manufacturing towards Industry 5.0 DOI
Yuqian Lu, Hao Zheng, Saahil Chand

et al.

Journal of Manufacturing Systems, Journal Year: 2022, Volume and Issue: 62, P. 612 - 627

Published: Jan. 1, 2022

Language: Английский

Citations

411

Reasons For Physicians Not Adopting Clinical Decision Support Systems: Critical Analysis DOI Creative Commons
Saif Khairat, David T. Marc, William Crosby

et al.

JMIR Medical Informatics, Journal Year: 2018, Volume and Issue: 6(2), P. e24 - e24

Published: April 18, 2018

Clinical decision support systems (CDSSs) are an integral component of today's health information technologies. They assist with interpretation, diagnosis, and treatment. A CDSS can be embedded throughout the patient safety continuum providing reminders, recommendations, alerts to care providers. Although CDSSs have been shown reduce medical errors improve outcomes, they fallen short their full potential. User acceptance has identified as one potential reasons for this shortfall.The purpose paper was conduct a critical review task analysis research develop new framework design in order achieve user acceptance.A papers conducted focus on acceptance. To gain greater understanding problems associated acceptance, we identify describe goals, input, system output, knowledge requirements, constraints from two different perspectives: machine (ie, engine) physician).Favorability based clinical guidelines, alerts, diagnostic suggestions. We propose models: (1) adaptation model, which includes optimizing needs/expectations, (2) input-process-output-engagemodel, reveals users processes that govern outputs.This demonstrates incorporation proposed models will beneficial effects adoption. Ultimately, if does not accept technology, only poses threat use technology but also pose well-being patients.

Language: Английский

Citations

281

Relational knowledge: the foundation of higher cognition DOI
Graeme S. Halford, William H. Wilson, Steven Phillips

et al.

Trends in Cognitive Sciences, Journal Year: 2010, Volume and Issue: 14(11), P. 497 - 505

Published: Sept. 30, 2010

Language: Английский

Citations

274

People construct simplified mental representations to plan DOI
Mark K. Ho, David Abel, Carlos G. Correa

et al.

Nature, Journal Year: 2022, Volume and Issue: 606(7912), P. 129 - 136

Published: May 19, 2022

Language: Английский

Citations

79

Exploring the concept of affective quality: Expanding the concept of retail personality DOI

William R. Darden,

Barry J. Babin

Journal of Business Research, Journal Year: 1994, Volume and Issue: 29(2), P. 101 - 109

Published: Feb. 1, 1994

Language: Английский

Citations

309

A genetic algorithm for bin packing and line balancing DOI

Emanuel Falkenauer,

Alain Delchambre

Published: Jan. 2, 2003

The authors present an efficient genetic algorithm for two NP-hard problems, the bin packing and line balancing problems. They define problems precisely specify a cost function suitable problem. It is shown that classic performs poorly on grouping encoding of solutions fitting these presented. Efficient crossover mutation operators are introduced packing. modification necessary to fit given. Results performance tests randomly generated data included. cover real-world problem sizes. results areas further research discussed.< >

Language: Английский

Citations

270

A genetic algorithm for job shop DOI

Emanuel Falkenauer,

S. Bouffouix

Published: Dec. 10, 2002

Genetic algorithms (GAs) constitute a technique that has been applied with advantage to variety of combinatorial problems. This work shows how the GAs can be used optimize job shop problem many tasks, machines, and precedence constraints. The authors introduce then show what makes treatment scheduling difficult. They present an encoding overcomes these difficulties. performance algorithm is demonstrated examples real-world size.< >

Language: Английский

Citations

213

Genetic algorithms and Darwinian approaches in financial applications: A survey DOI
Anton Aguilar-Rivera, Manuel Valenzuela-Rendón,

José Rodríguez-Ortiz

et al.

Expert Systems with Applications, Journal Year: 2015, Volume and Issue: 42(21), P. 7684 - 7697

Published: June 13, 2015

Language: Английский

Citations

152

Human Intelligence: An Introduction to Advances in Theory and Research DOI

David F. Lohman

Review of Educational Research, Journal Year: 1989, Volume and Issue: 59(4), P. 333 - 373

Published: Dec. 1, 1989

Recent advances in three research traditions are summarized: trait theories of intelligence, information-processing and general thinking. The discussion intelligence focuses on the theory fluid crystallized abilities, particularly recent elaborations this proposed by Horn (1985) Snow (1981) : Their work provides a convenient framework for intelligence. I summarize attempts to build process major ability factors identified Horn’s version model: mental speed, verbal-crystallized fluid-reasoning spatial-visualization abilities. discuss Sternberg’s develop comprehensive ask how might be derived from sort thinking currently advanced cognitive psychology artificial (AI). paper concludes with some speculations about meaning construct suggestions it.

Language: Английский

Citations

112