Philosophy & Religious Studies - 2013

Bell, E., Dubljevic, V., & Racine, E. (2013). Nudging Without Ethical Fudging: Clarifying Physician Obligations to Avoid Ethical Compromise. The American Journal of Bioethics, 13(6), 18–19. https://doi.org/10.1080/15265161.2013.781714

Bykova, M. (2013). Editor's introduction. Russian Studies in Philosophy, 51(4), 3–6. https://doi.org/10.2753/RSP1061-1967510400

Bykova, M. (2013). Editor's introduction. Russian Studies in Philosophy, 52(3), 4–8. https://doi.org/10.2753/RSP1061-1967520300

Bykova, M. (2013). Editor's introduction: Philosophical Inquiry into the Essence of Man. Russian Studies in Philosophy, 52(2), 3–8. https://doi.org/10.2753/RSP1061-1967520200

Comstock, G. (2013). Research ethics: A philosophical guide to the responsible conduct of research. In Research Ethics: A Philosophical Guide to the Responsible Conduct of Research (pp. 1–292). https://doi.org/10.1017/CBO9780511902703

Dubljević, V. (2013). Autonomy in Neuroethics: Political and Not Metaphysical. AJOB Neuroscience, 4(4), 44–51. https://doi.org/10.1080/21507740.2013.819390

Dubljević, V. (2013). Prohibition or Coffee Shops: Regulation of Amphetamine and Methylphenidate for Enhancement Use by Healthy Adults. The American Journal of Bioethics, 13(7), 23–33. https://doi.org/10.1080/15265161.2013.794875

Dubljević, V., & Racine, E. (2013). Judging Deeds, Not Psychopaths. AJOB Neuroscience, 4(2), 33–34. https://doi.org/10.1080/21507740.2013.782912

Grafsgaard, J. F., Wiggins, J. B., Boyer, K. E., Wiebe, E. N., & Lester, J. C. (2013). Automatically recognizing facial indicators of frustration: A learning-centric analysis. International conference on affective computing and intelligent, 159–165. https://doi.org/10.1109/acii.2013.33

Grafsgaard, J. F., Wiggins, J. B., Boyer, K. E., Wiebe, E. N., & Lester, J. C. (2013). Embodied Affect in Tutorial Dialogue: Student Gesture and Posture. In Lecture Notes in Computer Science (pp. 1–10). https://doi.org/10.1007/978-3-642-39112-5_1

Lester, J. C., Ha, E. Y., Lee, S. Y., Mott, B. W., Rowe, J. P., & Sabourin, J. L. (2013). Serious games get smart: Intelligent game-based learning environments. AI Magazine, 34(4), 31–45. https://doi.org/10.1609/aimag.v34i4.2488

Min, W., Rowe, J. P., Mott, B. W., & Lester, J. C. (2013). Personalizing Embedded Assessment Sequences in Narrative-Centered Learning Environments: A Collaborative Filtering Approach. In Lecture Notes in Computer Science (pp. 369–378). https://doi.org/10.1007/978-3-642-39112-5_38

Mitchell, C. M., Boyer, K. E., & Lester, J. C. (2013). A Markov Decision Process Model of Tutorial Intervention in Task-Oriented Dialogue. In Lecture Notes in Computer Science (pp. 828–831). https://doi.org/10.1007/978-3-642-39112-5_123

Pendlebury, M. (2013). Reasons in action. Philosophical Papers, 42(3), 341–368. https://doi.org/10.1080/05568641.2013.854026

Puryear, S. (2013). Idealism and scepticism: A reply to Brueckner. Theoria-A Swedish Journal of Philosophy, 79(4), 290–293.

Puryear, S., & North America, T. L. S. (2013). The Leibniz-De Volder Correspondence, with Selections from the Correspondence Between Leibniz and Johann Bernoulli, ed. P. Lodge. Leibniz Society Review, 23, 165–169. https://doi.org/10.5840/leibniz20132312

Ranisch, R., Garofoli, D., & Dubljevic, V. (2013). “Clock Shock,” Motivational Enhancement, and Performance Maintenance in Adderall Use. AJOB Neuroscience, 4(1), 13–14. https://doi.org/10.1080/21507740.2012.748704

Sabourin, J. L., Shores, L. R., Mott, B. W., & Lester, J. C. (2013). Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments. International Journal of Artificial Intelligence in Education, 23(1-4), 94–114. https://doi.org/10.1007/S40593-013-0004-6

Sabourin, J., Mott, B., & Lester, J. (2013). Discovering Behavior Patterns of Self-Regulated Learners in an Inquiry-Based Learning Environment. In Lecture Notes in Computer Science (pp. 209–218). https://doi.org/10.1007/978-3-642-39112-5_22

Sabourin, J., Mott, B., & Lester, J. (2013). Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-regulated Learning. In User Modeling, Adaptation, and Personalization (pp. 228–241). https://doi.org/10.1007/978-3-642-38844-6_19