1 |
B. Jaskula, K. Pancerz & J. Szkola. (2015). Toward Synchronization of EEG and Eye-tracking Data Using an Expert System. InCS&P(pp. 196-198). DOI : 10.5220/0005094600790086
DOI
|
2 |
M. El Ayadi, M. S. Kamel & F. Karray. (2011). Survey on speech emotion recognition: Features, classification schemes, and databases. Pattern recognition, 44(3), 572-587. DOI : 10.1016/j.patcog.2010.09.020
DOI
|
3 |
F. A. Drews & J. Z. Bakdash. (2013). Simulation training in health care. Reviews of Human Factors and Ergonomics, 8(1), 191-234. DOI : 10.1177/1557234X13492977
DOI
|
4 |
J. Lu, P. Hallinger & P. Showanasai. (2014). Simulation-based learning in management education: A longitudinal quasi-experimental evaluation of instructional effectiveness. Journal of Management Development, 33(3), 218-244. DOI : 10.1108/jmd-11-2011-0115
DOI
|
5 |
S. M. Boyne, (2012). Crisis in the classroom: using simulations to enhance decision-making skills. J. Legal Educ, 62, 311. DOI : 10.2139/ssrn.2103603
DOI
|
6 |
E. G. Bradley & B. Kendall. (2014). A review of computer simulations in teacher education. Journal of Educational Technology Systems, 43(1), 3-12. DOI : 10.2190/ET.43.1.b
DOI
|
7 |
A. T. Hayes, C. L. Straub, L. A. Dieker, C. E. Hughes & M. C. Hynes. (2013). Ludic learning: Exploration of TLE TeachLivETM and effective teacher training. International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), 5(2), 20-33. DOI : 10.4018/jgcms.2013040102
DOI
|
8 |
J. P. Guilford & R. Hoepfner. (1971). The analysis of intelligence. McGraw-Hill Companies. DOI : 10.7771/2380-176x.1876
DOI
|
9 |
J. L. Plass, S. Heidig, E. O. Hayward, B. D. Homer & E. Um. (2014). Emotional design in multimedia learning: Effects of shape and color on affect and learning. Learning and Instruction, 29, 128-140. DOI : 10.1016/j.learninstruc.2013.02.006
DOI
|
10 |
D. Brozik & A. Zapalska. (2002). The PORTFOLIO GAME: Decision making in a dynamic environment. Simulation & Gaming, 33(2), 242-255. DOI : 10.1177/1046878102033002013
DOI
|
11 |
G. H. Tompson & P. Dass. (2000). Improving students' self-efficacy in strategic management: The relative impact of cases and simulations. Simulation & Gaming, 31(1), 22-41. DOI : 10.1177/104687810003100102
DOI
|
12 |
Z. Lan, O. Sourina, L. Wang & Y. Liu. (2014, October). Stability of features in real-time EEG-based emotion recognition algorithm. In 2014 International Conference on Cyber worlds (pp. 137-144). IEEE. DOI : 10.1109/cw.2014.27
DOI
|
13 |
J. A. Coan & J. J. Allen. (2004). Frontal EEG asymmetry as a moderator and mediator of emotion. Biological psychology, 67(1), 7-50. DOI : 10.1016/j.biopsycho.2004.03.002
DOI
|
14 |
R. E. Mayer. (2005). Cognitive theory of multimedia learning. The Cambridge handbook of multimedia learning. DOI : 10.1017/cbo9781139164603.004
DOI
|
15 |
S. D'Mello, B. Lehman, R. Pekrun & A. Graesser. (2014). Confusion can be beneficial for learning. Learning and Instruction, 29, 153-170. DOI : 10.1016/j.learninstruc.2012.05.003
DOI
|
16 |
U. I. Magner, R. Schwonke, V. Aleven, O. Popescu & A. Renkl. (2014). Triggering situational interest by decorative illustrations both fosters and hinders learning in computer-based learning environments. Learning and Instruction, 29, 141-152. DOI : 10.1016/j.learninstruc.2012.07.002
DOI
|
17 |
P. Ekman. (1993). Facial expression and emotion. American psychologist, 48(4), 384. DOI : 10.1017/cbo9780511752841.027
DOI
|
18 |
M. A. Nicolaou, H. Gunes & M. Pantic. (2011). Continuous prediction of spontaneous affect from multiple cues and modalities in valence-arousal space. IEEE Transactions on Affective Computing, 2(2), 92-105. DOI : 10.1109/t-affc.2011.9
DOI
|