Ainsworth, S. (1999). The functions of multiple representations. Computers &
Education, 33(2), 131-152.
Ayres, P., Marcus, N., Chan, C., & Qian, N. (2009). Learning hand manipulative
tasks:When instructional animations are superior to equivalent static
representations. Computers in Human Behavior, 25(2), 348-353.
Baddeley, A. (1992). Working memory. Science, 255(5044), 556-559.
Bell, R. L., & Trundle, K. C. (2008). The use of a computer simulation to promote
scientific conceptions of moon phases. Journal of Research in Science Teaching,
Blake, C., & Scanlon, E. (2007). Reconsidering simulations in science education at a
distance: features of effective use. Journal of Computer Assisted Learning, 23(6),
Bodemer, D., Ploetzner, R., Feuerlein, I., & Spada, H. (2004). The active integration
of information during learning with dynamic and interactive visualisations.
Learning and Instruction, 14(3), 325-341.
Boucheix, J. M., & Schneider, E. (2009). Static and animated presentations in
learning dynamic mechanical systems. Learning and Instruction, 19(2), 112-127.
Cairncross, S., & Mannion, M. (2001). Interactive multimedia and learning: Realizing
the benefits. Innovations in education and teaching international, 38(2),
Carlson, R. A., Lundy, D. H., & Schneider, W. (1992). Strategy guidance and
memory aiding in learning a problem-solving skill. Human Factors: The Journal
of the Human Factors and Ergonomics Society, 34(2), 129-145.
Chen, Y. L., Hong, Y. R., Sung, Y. T., & Chang, K. E. (2011). Efficacy of simulationbased
learning of electronics using visualization and manipulation. Educational
Technology & Society, 14(2), 269-277.
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? Computers in Human Behavior, 25(2), 315-324.
Deubel, P. (2003). An investigation of behaviorist and cognitive approaches to
instructional design. Journal of Educational Multimedia and Hypermedia, 12(1),
de Jong, T. (2006). Technological advances in inquiry learning. Science, 312(5773),
de Jong, T. (2010). Cognitive load theory, educational research, and instructional
design: some food for thought. Instructional Science, 38(2), 105-134.
de Jong, T., & van Joolingen, W. R. (1998). Scientific discovery learning with
computer simulations of conceptual domains. Review of educational research,
de Jong, T., van Joolingen, W. R., Swaak, J., Veermans, K., Limbach, R., King, S., &
Gureghian, D. (1998). Self‐directed learning in simulation‐based discovery
environments. Journal of Computer Assisted Learning, 14(3), 235-246.
Evans, C., & Gibbons, N. J. (2007). The interactivity effect in multimedia learning.
Computers & Education, 49(4), 1147-1160.
Gentry, J. W. (1990). What is experiential learning? In J. W. Gentry (Ed.), Guide to
business gaining and experiential learning (pp. 9-20). London: Kogan Page.
Gerjets, P., & Scheiter, K. (2003). Goal configurations and processing strategies as
moderators between instructional design and cognitive load: Evidence from
hypertext-based instruction. Educational Psychologist, 38(1), 33-41.
Gerjets, P., Scheiter, K., & Catrambone, R. (2006). Can learning from molar and
modular worked examples be enhanced by providing instructional explanations
and prompting self-explanations? Learning and Instruction, 16(2), 104-121.
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. Computers & Education, 58(4), 1076-1084.
Hannafin, M., & Hannafin, K. (2008). Cognition and student-centered, Web-based
learning: Issues and implications for research and theory. In D. G. Kinshuk, J. M.
Sampson, P. Spector, D. Isaı´as, & D. Ifenthaler (Eds.), Proceedings of the
IADIS international conference on cognition and exploratory learning in the
digital age (pp. 113-120). Freiburg, Germany: IADIS.
Hannafin, M., & Hannafin, K. (2008, February). Cognition and student-centered,
web-based learning: issues and implications for research and theory. Presented at
the International Conference on Cognition and Exploratory Learning in Digital
Age, Freiburg, Germany.
Hannafin, M., Hannafin, K., & Gabbitas, B. (2009). Re-examining cognition during
student-centered, web-based learning. Educational Technology Research and
Development, 57(6), 767-785.
Hegarty, M. (2004). Dynamic visualizations and learning: Getting to the difficult
questions. Learning and Instruction, 14(3), 343-351.
Huk, T., & Ludwigs, S. (2009). Combining cognitive and affective support in order to
promote learning. Learning and Instruction, 19(6), 495-505.
Jackson, S. L., Stratford, S. J., Krajcik, J., &Soloway, E. (1996). A learner-centered
tool for students building models. Communication of the ACM, 39(4), 48-49.
Kalyuga, S. (2007). Enhancing instructional efficiency of interactive e-learning
environments: A cognitive load perspective. Educational Psychology
Kalyuga, S. (2009). Instructional designs for the development of transferable
knowledge and skills: A cognitive load perspective. Computers in Human
Behavior, 25(2), 332-338.
Kalyuga, S., Ayres, P., Chandler, P., & Sweller, J. (2003). The expertise reversal
effect. Educational Psychologist, 38(1), 23-31.
Khalil, M., Paas, F., Johnson, T., & Payer, A. (2005). Interactive and dynamic
visualizations in teaching and learning of anatomy: A Cognitive. Wiley-Liss, Inc.
Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during
instruction does not work: An analysis of the failure of constructivist, discovery,
problem-based, experiential, and inquiry-based teaching. Educational
Psychologist, 41(2), 75-86.
Koedinger, K. R., & Aleven, V. (2007). Exploring the assistance dilemma in
experiments with Cognitive Tutors. Educational Psychology Review, 19(3),
Kolloffel, B., Eysink, T. H. S., de Jong, T., & Wilhelm, P. (2009). The effects of
representational format on learning combinatorics from an interactive
computer-simulation. Instructional Science, 37(6), 503–517.
Kolloffel, B., Eysink, T. H. S., & de Jong, T. (2010). The influence of learnergenerated
domain representations on learning combinatorics and probability
theory. Computers in Human Behavior, 26(1), 1-11.
Lazonder, A. W., Wilhelm, P., & Hagemans, M. G. (2008). The influence of domain
knowledge on strategy use during simulation-based inquiry learning. Learning
and Instruction, 18(6), 580-592.
Lazonder, A. W., Wilhelm, P., & van Lieburg, E. (2009). Unraveling the influence of
domain knowledge during simulation-based inquiry learning. Instructional
Science, 37(5), 437-451.
Lazonder, A. W., Hagemans, M. G., & de Jong, T. (2010). Offering and discovering
domain information in simulation-based inquiry learning. Learning and
Instruction, 20(6), 511-520.
Leahy, W., & Sweller, J. (2008). The imagination effect increases with an increased
intrinsic cognitive load. Applied cognitive psychology, 22(2), 273-283.
Leahy, W., &Sweller, J. (2011). Cognitive load theory, modality of presentation and
the transient information effect. Applied Cognitive Psychology, 25(6), 943-951.
Limón, M. (2001). On the cognitive conflict as an instructional strategy for
conceptual change: a critical appraisal. Learning and Instruction, 11(4), 357-380.
Liu, T. C. (2010). Developing Simulation-based Computer Assisted Learning to
Correct Students’ Statistical Misconceptions based on Cognitive Conflict Theory,
using "Correlation" as an Example. Educational Technology & Society, 13 (2),
Liu, Y., & Shrum, L. J. (2002). What is interactivity and is it always such a good
thing? Implications of definition, person, and situation for the influence of
interactivity on advertising effectiveness. Journal of Advertising, 31(4):53-64.
Liu, T. C., Lin, Y. C., & Kinshuk (2010). The application of Simulation-Assisted
Learning Statistics (SALS) for correcting misconceptions and improving
understanding of correlation. Journal of Computer Assist Learning, 26(2),
Liu, T. C., Kinshuk, Lin, Y. C., & Wang, S. H. (2012). Can verbalisers learn as well as
visualisers in simulation-based CAL with predominantly visual representations
Preliminary evidence from a pilot study. British Journal of Educational
Technology, 43(6), 965-980.
Liu, T. C., Lin, Y. C., Tsai, M. J., & Paas, F. (2012). Split-attention and redundancy
effects on mobile learning in physical environments. Computers & Education,
Löhner, S., van Joolingen, W. R., Savelsbergh, E. R., & van Hout-Wolters, B. (2005).
Students’ reasoning during modeling in an inquiry learning environment.
Computers in Human Behavior, 21(3), 441-461.
Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions?
Educational psychologist, 32(1), 1-19.
Mayer, R. E. (2001). Multimedia learning. New York: Cambridge University Press.
Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery
learning? The case for guided methods of instruction. American Psychologist,
59(1), 14- 19.
Mayer, R. E., & Chandler, P. (2001). When learning is just a click away: Does simple
user interaction foster deeper understanding of multimedia messages? Journal of
educational psychology, 93(2), 390-397.
Mayer, R. E. (2002). Cognitive theory and the design of multimedia instruction: An
example of the twoway street between cognition and instruction. New Directions
for Teaching and Learning, 89, 55-71.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in
multimedia learning. Educational psychologist, 38(1), 43-52.
McCombs, B., & Vakili, D. (2005).A learner-centered framework for e-learning. The
Teachers College Record, 107(8), 1582-1600.
Moore, M. G. (1989). Three types of interaction. The American Journal of Distance
Education, 3(2), 1-6.
Moris, E. (2001). The design and evaluation of link: A computer based learning
system for correlation. British Journal of Educational Technology, 32(1), 39-52.
Moreno, R. (2006). Learning with high-tech and multimedia environments. Current
Directions in Psychological Science, 15(2), 63-67.
Mayer, R. & Moreno, R. (2010). Techniques that reduce extraneous cognitive load
and manage intrinsic cognitive load during multimedia learning. New York:
Cambridge University Press.
Moreno, R., & Mayer, R. E. (2005).Role of guidance, reflection, and interactivity in
an agent-based multimedia game. Journal of Educational Psychology, 97(1),
Moreno, R., & Mayer, R. (2007). Interactive multimodal learning environments:
Special issue on interactive learning environments: Contemporary issues and
trends. Educational Psychology Review, 19(3), 309-326.
Moreno, R., Mayer, R. E., Spires, H. A., & Lester, J. C. (2001). The case for social
agency in computer-based teaching: Do students learn more deeply when they
interact with animated pedagogical agents? Cognition and Instruction, 19(2),
Moreno, R., & Valdez, A. (2005). Cognitive load and learning effects of having
students organize pictures and words in multimedia environments: The role of
student interactivity and feedback. Educational Technology Research and
Development, 53(3), 35-45.
Mulder, Y. G., Lazonder, A. W., & de Jong, T. (2011). Comparing two types of
model progression in an inquiry learning environment with modelling facilities.
Learning and Instruction, 21(5), 614-624.
Njoo, M., & de Jong, T. (1993). Exploratory learning with a computer simulation for
control theory: Learning processes and instructional support. Journal of
Research in Science Teaching, 30(8), 821-844.
Norman, D. A., & Spohrer, J. C. (1996). Learner-centered education.
Communications of the ACM, 39(4), 24-27.
Paas, F., Renkl, A., &Sweller, J. (2003). Cognitive load theory and instructional
design: Recent developments. Educational Psychologist, 38(1), 1-4.
Paas, F., & Van Gog, T. (2006). Optimising worked example instruction: Different
ways to increase germane cognitive load. Learning and Instruction, 16(2), 87-91.
Paas, F. G. W. C., & Van Merriënboer, J. J. G. (1993). The efficiency of instructional
conditions: An approach to combine mental effort and performance measures.
Human Factors: The Journal of the Human Factors and Ergonomics Society,
Paas, F. G. W. C., & Van Merriënboer, J. J. G. (1994).Variability of worked examples
and transfer of geometrical problem-solving skills: A cognitive-load approach.
Journal of educational psychology, 86(1), 122-133.
Paas, F., Tuovinen, J. E., Van Merrienboer, J. J. G., &AubteenDarabi, A. (2005). A
motivational perspective on the relation between mental effort and performance:
Optimizing learner involvement in instruction. Educational Technology
Research and Development, 53(3), 25-34.
Rasch, T., &Schnotz, W. (2009). Interactive and non-interactive pictures in
multimedia learning environments: Effects on learning outcomes and learning
efficiency. Learning and Instruction, 19(5), 411-422.
Regan, M., & Sheppard, S. (1996). Interactive Multimedia Courseware and Hands-on
Learning Experience: An Assessment Study. Journal of Engineering Education,
Renkl, A., & Atkinson, R. K. (2007). Interactive learning environments:
Contemporary issues and trends. An introduction to the Special Issue.
Educational Psychology Review, 19, 235-238.
Plass, J. L., Homer, B., & Hayward, E. O. (2009). Design factors for educationally
effective animations and simulations. Journal of Computing in Higher Education,
Reed, S. K. (2006). Cognitive architectures for multimedia learning. Educational
Richards, D. (2006, December). Is interactivity actually important? Proceedings of
the Third Australasian Conference on Interactive Entertainment (IE’2006). Perth:
Rogers, Y., & Scaife, M. (1998). How can interactive multimedia facilitate learning?
In Lee, J. (ed.) Intelligence and Multimodality in Multimedia Interfaces:
Research and Applications. AAAI. Press: Menlo Park, CA.
Sabry, K., & Baldwin, L. (2003). Web‐based learning interaction and learning styles.
British Journal of Educational Technology, 34(4), 443-454.
Scalise, K., Timms, M., Moorjani, A., Clark, L. K., Holtermann, K., & Irvin, P. S.
(2011). Student learning in science simulations: Design features that promote
learning gains. Journal of Research in Science Teaching, 48(9), 1050-1078.
Schnotz, W. (2002). Commentary: Towards an integrated view of learning from text
and visual displays. Educational Psychology Review, 14(1), 101-120.
Schnotz, W., & Rasch, T. (2005). Enabling, facilitating, and inhibiting effects of
animations in multimedia learning: Why reduction of cognitive load can have
negative results on learning. Educational Technology Research and Development,
Schüler, A., Scheiter, K., Rummer, R., & Gerjets, P. (2012). Explaining the modality
effect in multimedia learning: Is it due to a lack of temporal contiguity with
written text and pictures? Learning and Instruction, 22(2), 92-102.
She, H. C., & Chen, Y. Z. (2009). The impact of multimedia effect on science
learning: Evidence from eye movements. Computers & Education, 53(4),
Shellman, S. M., & Turan, K. (2006). Do simulations enhance student learning? An
empirical evaluation of an IR simulation. Journal of Political Science Education,
Sims, R. (1997). Interactivity: A forgotten art? Computers in Human Behavior, 13(2),
Smith, S. M., & Woody, P. C. (2000). Interactive effect of multimedia instruction and
learning styles. Teaching of Psychology, 27(3), 220-223.
Stull, A. T., & Mayer, R. E. (2007). Learning by doing versus learning by viewing:
Three experimental comparisons of learner-generated versus author-provided
graphic organizers. Journal of educational psychology, 99(4), 808-820.
Sweller, J. (2010). Element interactivity and intrinsic, extraneous, and germane
cognitive load. Educational Psychology Review, 22(2), 123-138.
Sweller, J., Van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive
architecture and instructional design. Educational Psychology Review, 10(3),
Van Joolingen, W. (1998). Cognitive tools for discovery learning. International
Journal of Artificial Intelligence in Education (IJAIED), 10, 385-397.
van Merrienboer, J. J. G., Kester, L., & Paas, F. (2006). Teaching complex rather than
simple tasks:Balancing intrinsic and germane load to enhance transfer of learning.
Applied CognitivePsychology, 20, 343–352.
Van Joolingen, W., De Jong, T., & Dimitrakopoulou, A. (2007). Issues in computer
supported inquiry learning in science. Journal of Computer Assisted Learning,
Van der Meij, J., & de Jong, T. (2011). The effects of directive self-explanation
promptsto support active processing of multiple representations in a
simulation-based learning environment. Journal of Computer Assisted Learning,
Van der Meij, J., & de Jong, T. (2006). Supporting students’ learning with multiple
representations in a dynamic simulation-based learning environment. Learning
and Instruction, 16(3), 199-212.
Van Merriënboer, J. J. G., & Sweller, J. (2005). Cognitive load theory and complex
learning: Recent developments and future directions. Educational Psychology
Review, 17(2), 147-177.
Varma, K., Husic, F., & Linn, M. C. (2008). Targeted support for using technologyenhanced
science inquiry modules. Journal of Science Education and
Technology, 17(4), 341-356.
Verhoeven, L., Schnotz, W., & Paas, F. (2009). Cognitive load in interactive
knowledge construction. Learning and Instruction, 19(5), 369-375.
Vogel-Walcutt, J. J., Gebrim, J. B., Bowers, C., Carper, T. M., & Nicholson, D.
(2010). Cognitive load theory vs. constructivist approaches: which best leads to
efficient deep learning? Journal of Computer Assisted Learning: 27(2), 133-145.
Wang, P. Y., Vaughn, B. K., & Liu, M. (2011). The impact of animation interactivity
on novices’ learning of introductory statistics. Computers & Education, 56(1),
Zacharia, Z., & Anderson, O. R. (2003). The effects of an interactive computer-based
simulation prior to performing a laboratory inquiry-based experiment on students’
conceptual understanding of physics. American Journal of Physics, 71(6), 618-