Psychométrie computationnelle (French Wikipedia)

Analysis of information sources in references of the Wikipedia article "Psychométrie computationnelle" in French language version.

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16doi.org

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4nih.gov

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3issn.org

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3semanticscholar.org

11^th place

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3frontiersin.org

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1mdpi.com

2,912^th place

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1wiley.com

222^nd place

129^th place

1handle.net

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doi.org

dx.doi.org

(en) Pietro Cipresso, Desirée Colombo et Giuseppe Riva, « Computational Psychometrics Using Psychophysiological Measures for the Assessment of Acute Mental Stress », Sensors, vol. 19, n^o 4,‎ janvier 2019, p. 781 (ISSN 1424-8220, DOI 10.3390/s19040781, lire en ligne, consulté le 2 avril 2023).
(en) Pietro Cipresso, Alessandro Bessi, Desirée Colombo et Elisa Pedroli, « Computational Psychometrics for Modeling System Dynamics during Stressful Disasters », Frontiers in Psychology, vol. 8,‎ 15 août 2017, p. 1401 (ISSN 1664-1078, PMID 28861026, PMCID PMC5559530, DOI 10.3389/fpsyg.2017.01401, lire en ligne, consulté le 2 avril 2023).
(en) Alina A. von Davier, « Computational Psychometrics in Support of Collaborative Educational Assessments », Journal of Educational Measurement, vol. 54, n^o 1,‎ 2017, p. 3–11 (DOI 10.1111/jedm.12129).
(en) Alina A. von Davier et Pak Chung Wong, « The Argument for a “Data Cube” for Large-Scale Psychometric Data », sur Frontiers in Education, 2019 (ISSN 2504-284X, DOI 10.3389/feduc.2019.00071/full, consulté le 2 avril 2023).
(en) Alina A. von Davier, Benjamin Deonovic, Michael Yudelson et Stephen T. Polyak, « Computational Psychometrics Approach to Holistic Learning and Assessment Systems », Frontiers in Education, vol. 4,‎ 2019 (DOI 10.3389/feduc.2019.00069, lire en ligne, consulté le 2 avril 2023).
(en) Alina A. von Davier, Kristen DiCerbo et Josine Verhagen, « Computational Psychometrics: A Framework for Estimating Learners’ Knowledge, Skills and Abilities from Learning and Assessments Systems », dans Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment, Springer International Publishing, coll. « Methodology of Educational Measurement and Assessment », 2021 (ISBN 978-3-030-74394-9, DOI 10.1007/978-3-030-74394-9_3, lire en ligne), p. 25–43.
(en) Selmer Bringsjord, « Psychometric artificial intelligence », Journal of Experimental & Theoretical Artificial Intelligence, vol. 23, n^o 3,‎ septembre 2011, p. 271–277 (DOI 10.1080/0952813x.2010.502314, S2CID 19947368).
(en) Stephen T. Polyak, Alina A. von Davier et Kurt Peterschmidt, « Computational Psychometrics for the Measurement of Collaborative Problem Solving Skills », Frontiers in Psychology, vol. 8,‎ 2017, p. 20–29 (PMID 29238314, PMCID 5712874, DOI 10.3389/fpsyg.2017.02029).
(en) M. Marsman, D. Borsboom et J nom4=Epskamp Kruis, « An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models », Multivariate Behavioral Research, vol. 53, n^o 1,‎ 2018, p. 15–35 (PMID 29111774, DOI 10.1080/00273171.2017.1379379).
(en) Paul Irwing, Tom Booth et David J. Hughes, The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development, John Wiley & Sons Ltd, 11 avril 2018 (ISBN 978-1-118-48983-3, DOI 10.1002/9781118489772, lire en ligne).
(en) Innovative Assessment of Collaboration, coll. « Methodology of Educational Measurement and Assessment », 2017 (ISBN 978-3-319-33259-8, DOI 10.1007/978-3-319-33261-1)^{[page à préciser]}.
(en) Alina A. von Davier, Jiangang Hao et Patrick Kyllonen, « Interdisciplinary research agenda in support of assessment of collaborative problem solving: lessons learned from developing a Collaborative Science Assessment Prototype », Computers in Human Behavior, vol. 76, n^o November,‎ 2017, p. 631–640 (DOI 10.1016/j.chb.2017.04.059).
(en) Michael Flor, Su-Youn Yoon, Jiangang Hao et Lei Liu, « Automated classification of collaborative problem solving interactions in simulated science tasks », Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications,‎ 2016, p. 31–41 (DOI 10.18653/v1/W16-0504, S2CID 390510)
(en) Michael Flor, Su-Youn Yoon, Jiangang Hao et Lei Liu, « Automated classification of collaborative problem solving interactions in simulated science tasks », Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, San Diego, CA, Association for Computational Linguistics, vol. W16-0504,‎ juin 2016, p. 31–41 (DOI 10.18653/v1/W16-0504, S2CID 390510).
(en) Pietro Cipresso, Aleksandar Matic, Dimitris Giakoumis et Yuri Ostrovsky, « Advances in Computational Psychometrics », Computational and Mathematical Methods in Medicine, vol. 2015,‎ 2015, p. 418683 (PMID 26346251, PMCID 4539436, DOI 10.1155/2015/418683).

doi.org

(en) Alina A. von Davier, Kristen DiCerbo et Josine Verhagen, « Computational Psychometrics: A Framework for Estimating Learners’ Knowledge, Skills and Abilities from Learning and Assessments Systems », dans Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment, Springer International Publishing, coll. « Methodology of Educational Measurement and Assessment », 2021 (ISBN 978-3-030-74394-9, DOI 10.1007/978-3-030-74394-9_3, lire en ligne), p. 25–43.

frontiersin.org

(en) Alina A. von Davier et Pak Chung Wong, « The Argument for a “Data Cube” for Large-Scale Psychometric Data », sur Frontiers in Education, 2019 (ISSN 2504-284X, DOI 10.3389/feduc.2019.00071/full, consulté le 2 avril 2023).
(en) Alina A. von Davier, Benjamin Deonovic, Michael Yudelson et Stephen T. Polyak, « Computational Psychometrics Approach to Holistic Learning and Assessment Systems », Frontiers in Education, vol. 4,‎ 2019 (DOI 10.3389/feduc.2019.00069, lire en ligne, consulté le 2 avril 2023).

journal.frontiersin.org

(en) Pietro Cipresso, Alessandro Bessi, Desirée Colombo et Elisa Pedroli, « Computational Psychometrics for Modeling System Dynamics during Stressful Disasters », Frontiers in Psychology, vol. 8,‎ 15 août 2017, p. 1401 (ISSN 1664-1078, PMID 28861026, PMCID PMC5559530, DOI 10.3389/fpsyg.2017.01401, lire en ligne, consulté le 2 avril 2023).

handle.net

hdl.handle.net

(en) Samuel Greiff, Dragan Gasevic et Alina A. von Davier, Using process data for assessment in Intelligent Tutoring Systems. A psychometrician's, cognitive psychologist's, and computer scientist's perspective, Army Research Laboratory, 2017, 171–179 p. (hdl 10993/32037).

issn.org

portal.issn.org

(en) Pietro Cipresso, Desirée Colombo et Giuseppe Riva, « Computational Psychometrics Using Psychophysiological Measures for the Assessment of Acute Mental Stress », Sensors, vol. 19, n^o 4,‎ janvier 2019, p. 781 (ISSN 1424-8220, DOI 10.3390/s19040781, lire en ligne, consulté le 2 avril 2023).
(en) Pietro Cipresso, Alessandro Bessi, Desirée Colombo et Elisa Pedroli, « Computational Psychometrics for Modeling System Dynamics during Stressful Disasters », Frontiers in Psychology, vol. 8,‎ 15 août 2017, p. 1401 (ISSN 1664-1078, PMID 28861026, PMCID PMC5559530, DOI 10.3389/fpsyg.2017.01401, lire en ligne, consulté le 2 avril 2023).
(en) Alina A. von Davier et Pak Chung Wong, « The Argument for a “Data Cube” for Large-Scale Psychometric Data », sur Frontiers in Education, 2019 (ISSN 2504-284X, DOI 10.3389/feduc.2019.00071/full, consulté le 2 avril 2023).

mdpi.com

(en) Pietro Cipresso, Desirée Colombo et Giuseppe Riva, « Computational Psychometrics Using Psychophysiological Measures for the Assessment of Acute Mental Stress », Sensors, vol. 19, n^o 4,‎ janvier 2019, p. 781 (ISSN 1424-8220, DOI 10.3390/s19040781, lire en ligne, consulté le 2 avril 2023).

nih.gov

ncbi.nlm.nih.gov

(en) Pietro Cipresso, Alessandro Bessi, Desirée Colombo et Elisa Pedroli, « Computational Psychometrics for Modeling System Dynamics during Stressful Disasters », Frontiers in Psychology, vol. 8,‎ 15 août 2017, p. 1401 (ISSN 1664-1078, PMID 28861026, PMCID PMC5559530, DOI 10.3389/fpsyg.2017.01401, lire en ligne, consulté le 2 avril 2023).
(en) Stephen T. Polyak, Alina A. von Davier et Kurt Peterschmidt, « Computational Psychometrics for the Measurement of Collaborative Problem Solving Skills », Frontiers in Psychology, vol. 8,‎ 2017, p. 20–29 (PMID 29238314, PMCID 5712874, DOI 10.3389/fpsyg.2017.02029).
(en) M. Marsman, D. Borsboom et J nom4=Epskamp Kruis, « An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models », Multivariate Behavioral Research, vol. 53, n^o 1,‎ 2018, p. 15–35 (PMID 29111774, DOI 10.1080/00273171.2017.1379379).
(en) Pietro Cipresso, Aleksandar Matic, Dimitris Giakoumis et Yuri Ostrovsky, « Advances in Computational Psychometrics », Computational and Mathematical Methods in Medicine, vol. 2015,‎ 2015, p. 418683 (PMID 26346251, PMCID 4539436, DOI 10.1155/2015/418683).

semanticscholar.org

api.semanticscholar.org

(en) Selmer Bringsjord, « Psychometric artificial intelligence », Journal of Experimental & Theoretical Artificial Intelligence, vol. 23, n^o 3,‎ septembre 2011, p. 271–277 (DOI 10.1080/0952813x.2010.502314, S2CID 19947368).
(en) Michael Flor, Su-Youn Yoon, Jiangang Hao et Lei Liu, « Automated classification of collaborative problem solving interactions in simulated science tasks », Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications,‎ 2016, p. 31–41 (DOI 10.18653/v1/W16-0504, S2CID 390510)
(en) Michael Flor, Su-Youn Yoon, Jiangang Hao et Lei Liu, « Automated classification of collaborative problem solving interactions in simulated science tasks », Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, San Diego, CA, Association for Computational Linguistics, vol. W16-0504,‎ juin 2016, p. 31–41 (DOI 10.18653/v1/W16-0504, S2CID 390510).

wiley.com

onlinelibrary.wiley.com

(en) Paul Irwing, Tom Booth et David J. Hughes, The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development, John Wiley & Sons Ltd, 11 avril 2018 (ISBN 978-1-118-48983-3, DOI 10.1002/9781118489772, lire en ligne).