Výsledky vyhledávání - "Michael Sao Pedro"

Using Innovative Methods to Explore the Potential of an Alerting Dashboard for Science Inquiry

Autor: Rachel Dickler, Janice D. Gobert, Michael Sao Pedro

Publikováno v: Journal of Learning Analytics. 8:105-122

Educational technologies, such as teacher dashboards, are being developed to support teachers’ instruction and students’ learning. Specifically, dashboards support teachers in providing the just-in-time instruction needed by students in complex c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33fc5eb5e443b4e26af921fb09f22e7d
https://doi.org/10.18608/jla.2021.7153

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Using Log Data to Validate Performance Assessments of Mathematical Modeling Practices

Autor: Joe Olsen, Amy Adair, Janice Gobert, Michael Sao Pedro, Mariel O’Brien

Publikováno v: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium ISBN: 9783031116469

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cba64e343a9a733265a016a8cd5897ba
https://doi.org/10.1007/978-3-031-11647-6_99

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Examining the Use of a Teacher Alerting Dashboard During Remote Learning

Autor: Huma Hussain-Abidi, Michael Sao Pedro, Mariel O'Brien, Rachel Dickler, Joe Olsen, Amy Adair, Janice D. Gobert

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030782696
AIED (2)

Remote learning in response to the COVID-19 pandemic has introduced many challenges for educators. It is important to consider how AI technologies can be leveraged to support educators and, in turn, help students learn in remote settings. In this pap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::229c90ed4b3140c96ca2c1fb17011b90
https://doi.org/10.1007/978-3-030-78270-2_24

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Automated Scoring in Intelligent Tutoring Systems

Autor: Robert J. Mislevy, Duanli Yan, Michael Sao Pedro, Janice D. Gobert

Publikováno v: Handbook of Automated Scoring ISBN: 9781351264808
Handbook of Automated Scoring

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::051c545afca9c04c124c2df0e445cf43
https://doi.org/10.1201/9781351264808-22

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Can an Alerting Teacher Dashboard Improve How Teachers Help Their Students Learn Science Inquiry Practices?

Autor: Michael Sao Pedro

Publikováno v: Proceedings of the 2019 AERA Annual Meeting.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d567bd0ebeb318c86f52feddbb8e62e4
https://doi.org/10.3102/1433374

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Real-Time Scaffolding of Students’ Online Data Interpretation During Inquiry with Inq-ITS Using Educational Data Mining

Autor: Haiying Li, Rachel Dickler, Raha Moussavi, Michael Sao Pedro, Janice D. Gobert

Publikováno v: Cyber-Physical Laboratories in Engineering and Science Education ISBN: 9783319769349

This chapter addresses students’ data interpretation, a key NGSS inquiry practice, with which students have several different types of difficulties. In this work, we unpack the difficulties associated with data interpretation from those associated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0b28341548888d8477991138a9a32318
https://doi.org/10.1007/978-3-319-76935-6_8

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From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining

Autor: Ryan S. Baker, Michael Sao Pedro, Janice D. Gobert, Juelaila J. Raziuddin

Publikováno v: Journal of the Learning Sciences. 22:521-563

We present a method for assessing science inquiry performance, specifically for the inquiry skill of designing and conducting experiments, using educational data mining on students' log data from online microworlds in the Inq-ITS system (Inquiry Inte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3a894e4dc7ef37e5f8b32851e8c4fd3
https://doi.org/10.1080/10508406.2013.837391

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Discovery With Models

Autor: Arnon Hershkovitz, Michael Wixon, Ryan S. Baker, Michael Sao Pedro, Janice D. Gobert

Publikováno v: American Behavioral Scientist. 57:1480-1499

In recent years, an increasing number of analyses in learning analytics and educational data mining (EDM) have adopted a “discovery with models” approach, where an existing model is used as a key component in a new EDM or analytics analysis. This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3358400c5f103a13a6be485ee1279032
https://doi.org/10.1177/0002764213479365

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Digital Assessment Environments for Scientific Inquiry Practices

Autor: Janice D. Gobert, Michael Sao Pedro

Publikováno v: The Wiley Handbook of Cognition and Assessment

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8cec5192b6d08b24813d1884f1a0be46
https://doi.org/10.1002/9781118956588.ch21

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Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill

Autor: Adam Nakama, Orlando Montalvo, Ryan S. Baker, Michael Sao Pedro, Janice D. Gobert

Publikováno v: User Modeling and User-Adapted Interaction. 23:1-39

We present work toward automatically assessing and estimating science inquiry skills as middle school students engage in inquiry within a physical science microworld. Towards accomplishing this goal, we generated machine-learned models that can detec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7861f6310396a46055d5a24b17c86e84
https://doi.org/10.1007/s11257-011-9101-0

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