Works (9)
Updated: July 5th, 2023 15:37
2021 article
Evaluating online and tangible interfaces for engaging stakeholders in forecasting and control of biological invasions
Gaydos, D. A., Jones, C. M., Jones, S. K., Millar, G. C., Petras, V., Petrasova, A., … Meentemeyer, R. K. (2021, September 21). ECOLOGICAL APPLICATIONS, Vol. 9.
Contributors: D. Gaydos*, C. Jones n , S. Jones n, n, V. Petras n , A. Petrasova n , H. Mitasova n , R. Meentemeyer n
author keywords: adaptive management; ecological forecasting; geospatial; interface design; participatory modeling; plant pathogen
MeSH headings : California; Environmental Monitoring / methods; Forecasting; Internet; Introduced Species; Oregon; Plant Diseases; Quercus
TL;DR:
Recognizing the strengths of both tangible and online interfaces for collaboratively forecasting biological invasions and devising control strategies, workbench‐style interfaces that support simultaneous interactions and dynamic geospatial visualizations are suggested.
(via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 27, 2021
2020 journal article
More is Not Better: The Emotional Dynamics of an Excellent Experience
JOURNAL OF HOSPITALITY & TOURISM RESEARCH, 46(1), 78–99.
Contributors: O. Mitas *, H. Mitasova* , n, W. Boode*, V. Neveu, M. Hover*, F. Eijnden, M. Bastiaansen *
author keywords: emotions; psychology; heritage tourism; experience; skin conductance
open access via pure.buas.nl (repository)
UN Sustainable Development Goal Categories
8. Decent Work and Economic Growth
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: October 5, 2020
2020 journal article
Space-time analytics of human physiology for urban planning
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 85.
Contributors: n, O. Mitas *, W. Boode*, L. Hoeke*, J. Kruijf*, A. Petrasova n , H. Mitasova n
TL;DR:
A within-participants multilevel modeling approach was taken to determine relationships between different types of viewable land cover area and emotional arousal, and surprisingly, ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 19, 2021
2017 journal article
Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with CRYSTAL ISLAND
COMPUTERS IN HUMAN BEHAVIOR, 76, 641–655.
author keywords: Cognitive strategies; Metacognitive monitoring; Game-based learning environments; Eye tracking; Log files; Self-regulated learning
TL;DR:
This study uses multi-level modeling with data from eye movements and log files to examine the cognitive and metacognitive self-regulatory processes used by 50 college students as they read books and completed the associated in-game assessments (concept matrices) while playing the Crystal Island game-based learning environment.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2017 journal article
Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment
LEARNING AND INSTRUCTION, 54, 93–103.
author keywords: Metacognition; Self-regulated learning; Scientific reasoning; Game-based learning; Sequence mining; Process data; Log files
TL;DR:
Results revealed that participants who were more efficient at solving the mystery tested significantly fewer partially-relevant and irrelevant items than less efficient participants and have implications for designing adaptive GBLEs that scaffold participants based on in-game behaviors.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
2016 article
Are Pedagogical Agents' External Regulation Effective in Fostering Learning with Intelligent Tutoring Systems?
INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 197–207.
author keywords: Self-regulated learning; Metacognition; Pedagogical agents; Externally regulated learning; ITS; Scaffolding; Learning; Product data; Process data
TL;DR:
Testing whether external regulation provided by artificial pedagogical agents PAs was effective in facilitating learners' self-regulated learning SRL and can therefore foster complex learning with a hypermedia-based intelligent tutoring system indicated that those in the AS condition gained significantly more knowledge about the science topic thanThose in the C condition.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018
2016 article
Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with CRYSTAL ISLAND
INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 240–246.
author keywords: Metacognition; Self-regulated learning; Game-based learning; Eye tracking; Process data; Scientific reasoning
TL;DR:
A study that investigated how college students' eye tracking behavior predicted performance on embedded assessments within the Crystal Island GBLE found that participants strategized when reading book and article content and completing assessments, which led to better performance.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
conference paper
Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with CRYSTAL ISLAND
Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Intelligent tutoring systems, its 2016, 0684, 240–246.
Source: NC State University Libraries
Added: August 6, 2018
conference paper
Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with crystal island
Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Intelligent tutoring systems, its 2016, 9684, 240–246.
Source: NC State University Libraries
Added: August 6, 2018
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