Ajzen I (2001). Nature and operation of attitudes. Annu. Rev. Physiol. 52:27-58.
Crossref

Antonietti A, Giorgetti M (2006). Teachers' beliefs about learning from multimedia. Comput. Human Behav. 22(2):267-282.
Crossref

Atkinson R, Shiffrin R (1968). Human memory: A proposed system and its control processes. In K. Spence & J. Spence (Eds.), The psychology of learning and motivation: Advances in research and theory (Vol.2). New York: Academic Press.
Crossref

Ayres P (2006). Using subjective measures to detect variations of intrinsic cognitive load within problems. Learn Instr. 16(5):389-400. 
Crossref

Ayres P, Paas F (2007). Making Instructional Animations More Effective: A Cognitive Load Approach. Appl Cognitive Psych 21(6):695-700.
Crossref

Backmann JF (2010). Taming a beast of burden - On some issues with the conceptualisation and operationalisation of cognitive load.Learn Instr 20(3):250-264. 
Crossref

Baddeley AD (1992). Working memory. Science 255:556-559.
Crossref

Bandura A (1994). Regulative function of perceived self-efficacy.Personnel selection and classification. Mahwah, NJ: Lawrence Erlbaum Associates pp. 261-272.

Bandura A (1997). Self-efficacy: The exercise of control. Mediating Processess (pp. 116-117). New York: W.H. Freeman and Company.

Bıkmaz HF (2002). Fen öÄŸretimindeöz-yeterlikinancıölçeÄŸi. EÄŸitim Bilimlerive Uygulama 1(2):197-210.

Boyle T (2004). Designing multimedia e-learning for science education.In R. Holliman & E. Scanlon (Eds.), Mediating science learning through information and communication technology. London: RoutledgeFalmer.
Crossref

Brünken R, Plass JL, Moreno R (2010).Current Issues and Open Questions in Cognitive Load Research. In J. L. Plass, R. Moreno & R. Brünken (Eds.), Cognitive Load Theory New York: Cambridge University Press. pp. 252-272.
Crossref

Cheung WM, Li EY, Yee LW (2003). Multimedia learning system and its effect on self-efficacy in database modeling and design: an exploratory study. Comput. Educ. 41(3):249-270. 
Crossref

Cierniak G, Scheiter K, Gerjets P (2009). Explaining the split-attention effect: Is the reduction of extraneous cognitive load accompanied by an increase in germane cognitive load? Comput Human Behav. 25(2):315-324. 
Crossref

DeLeeuw KE, Mayer RE (2008). A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. J. Educ. Psychol. 100(1):223-234. 
Crossref

De Freitas S, Oliver M (2006). How can exploratory learning with games and simulations within the curriculum be most effectively evaluated? Comput. Educ. 46(3):249-264. 

Eilam B, Poyas Y (2008). Learning with multiple representations: Extending multimedia learning beyond the lab. Learn. Instr. 18(4):368-378. 
Crossref

Frenzel AC, Pekrun R, Goetz T (2007). Perceived learning environment and students' emotional experiences: A multilevel analysis of mathematics classrooms. Learn. Instr. 17(5):478-493. 
Crossref

Garcia-Luque E, Ortega T, Forja JM, Gomez-Parra A (2004). Using a laboratory simulator in the teaching and study of chemical processes in estuarine systems. Comput. Educ. 43(1-2):81-90. 
Crossref

Genç H, DeniÅŸ H, Demirkaya H (2010). Investigating prospective primary school teachers' attitudes towards science teaching lesson according to different variables. J. Graduate School of Natural Appl. Sci. Mehmet Akif Ersoy University 2:133-149.

Gottfried AE (1990). Academic intrinsic motivation in young elementary school children. J. Educ. Psychol. 82(3): 525-538.
Crossref

Govaere Jan L, de Kruif A, Valcke M (2011). Differential impact of unguided versus guided use of a multimedia introduction to equine obstetrics in veterinary education. Comput. Educ. 58(4):1076-1084.
Crossref

Harskamp EG, Mayer RE, Suhre C (2007). Does the modality principle for multimedia learning apply to science classrooms? Learn. Instr. 17(5):465-477. 
Crossref

Hasler BS, Kersten B, Sweller J (2007). Learner control, cognitive load and instructional animation. Appl. Cognitive Psych. 21(6):713-729. 
Crossref

Hennessy S, Wishart J, Whitelock D, Deaney R, Brawn R, la Velle L et al. (2007). Pedagogical approaches for technology-integrated science teaching. Comput. Educ. 48(1):137-152. 
Crossref

Hollender N, Hofmann C, Deneke M, Schmitz B (2010). Integrating cognitive load theory and concepts of human-computer interaction. Comput. Hum. Behav. 26(6):1278-1288. 
Crossref

Holzinger A, Kickmeier-Rust MD, Wassertheurer S, Hessinger M (2009). Learning performance with interactive simulations in medical education: Lessons learned from results of learning complex physiological models with the HAEM Odynamics SIMulator. Comput. Educ. 52(2):292-301.
Crossref

Homer BD, PlassJL, Blake L (2008). The effects of video on cognitive load and social presence in multimedia-learning. Comput Hum. Behav. 24(3):786-797. 
Crossref

Huk T, Ludwigs S (2009). Combining cognitive and affective support in order to promote learning. Learn Instr 19(6):495-505.
Crossref

Kalyuga S (2007). Enhancing Instructional Efficiency of Interactive E-learning Environments: A Cognitive Load Perspective. Educ. Psychol. Rev. 19(3):387–399. 
Crossref

Kalyuga S (2009a). Managing Cognitive Load in adaptive Multimedia Learning. New York: Yurchak Printing Inc.
Crossref

Kalyuga S (2009b). Instructional designs for the development of transferable knowledge and skills: A cognitive load perspective. Comput. Hum. Behav. 25(2):332-338. 
Crossref

Keramati A, Afshari-Mofrad M, Kamrani A (2011). The role of readiness factors in E-learning outcomes: An empirical study. Comput. Educ. 57:1919-1929. 
Crossref

Kettanurak V, Ramamurthy K, Haseman WD (2001). User attitude as a mediator of learning performance improvement in an interactive multimedia environment: an empirical investigation of the degree of interactivity and learning styles. Int. J. Hum-Comput. St. 54(4):541-583. 
Crossref

Kirschner PA (2001). Using integrated electronic environments for collaborative teaching/learning. Learn. Instr. 10:1-9. 
Crossref

Komarraju M, Karau SJ, Schmeck RR (2009). Role of the Big Five personality traits in predicting college students' academic motivation and achievement. Learn. Individ. Differ. 19(1):47-52. 
Crossref

Lee H, Plass J.L, Homer BD (2006). Optimizing cognitive load for learning from computer-based science simulations. J. Educ. Psychol. 98:902-913. 
Crossref

Leutner D (2014). Motivation and emotion as mediators in multimedia learning. Learn. Instr. 27:174-175. 
Crossref

Limniou M, Papadopoulos N, Whitehead C (2009). Integration of simulation into pre-laboratory chemical course: Computer cluster versus WebCT. Comput. Educ. 52(1):45-52. 
Crossref

Liu HC, Su IH (2011). Learning residential electrical wiring through computer simulation: The impact of computer-based learning environments on student achievement and cognitive load. Br. J. Educ. Technol. 42(4):598-607. 
Crossref

Liu M (2006). The effect of a hypermedia learning environment on middle school students' motivation, attitude, and science knowledge. Computers in the Schools 22(3-4):159-171. 
Crossref

Lord RG, Maher KJ (1990). Alternative information processing models and their implications for theory, research, and practice. Acad. Manage. Rev. 15(1):9–28.

Mayer RE (2014).Incorporating motivation into multimedia learning. Learn. Instr. 29:171-173 
Crossref

Mayer RE (Ed.) (2005). The Cambridge Handbook of Multimedia Learning. New York: Cambridge University Press.
Crossref

Mayer RE (2009). Multimedia learning (2nd edition). Cambridge: Cambridge University Press.
Crossref

Mayer RE, Moreno R (2002). Aids to computer-based multimedia learning. Learn. Instr. 12(1):107-119. 
Crossref

Miles MB, Huberman AM (1994). Qualitative data analysis (2nd ed.). Thousand Oaks, CA: Sage Publications.

Miller GA (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63:81-97.
Crossref