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Computational scientific inquiry with virtual worlds and agent-based models: new ways of doing science to learn science.

, , and . Interact. Learn. Environ., 24 (8): 2080-2108 (2016)

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Computational Intelligence to Support Cooperative Seaport Decision-Making in Environmental and Ecological Sustainability., , , and . ICCL, volume 9335 of Lecture Notes in Computer Science, page 510-525. Springer, (2015)Connecting Users, Data and Utilization: A Demand-Side Analysis of Open Government Data., , and . iConference, volume 11420 of Lecture Notes in Computer Science, page 488-500. Springer, (2019)Student Preferences and Attitudes to the Use of Early Alerts., , and . AMCIS, Association for Information Systems, (2015)Usability attributes in virtual learning environments., and . IE, page 9. ACM, (2012)Measuring the effect of personality on human-IVA shared understanding., and . AAMAS, page 1643-1644. IFAAMAS/ACM, (2014)Perceived benefits and barriers of a prototype early alert system to detect engagement and support 'at-risk' students: The teacher perspective., , , and . Comput. Educ., (2020)Evaluation of embodied conversational agents designed with ethical principles and personality for cybersecurity ethics training., , and . IVA, page 14:1-14:8. ACM, (2023)Taming the Interaction Jungle: Embodiment is All You Need., and . CUI, page 17:1-17:4. ACM, (2021)Automatic Acquisition of User Models of Interaction to Evaluate the Usability of Virtual Environments., , and . PKAW, volume 7457 of Lecture Notes in Computer Science, page 43-57. Springer, (2012)Academic Performance in a 3D Virtual Learning Environment: Different Learning Types vs. Different Class Types., , and . PKAW, volume 8863 of Lecture Notes in Computer Science, page 1-15. Springer, (2014)