Instruction, example order, and student learning: reducing extraneous cognitive load by providing structure for elaborated examples

References

• Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives (Abr. ed., pp. 63–91). New York, NY: Addison Wesley Longman.
   Google Scholar
• Bolkan, S. (2016). The importance of instructor clarity and its effect on student learning: Facilitating elaboration by reducing cognitive load. Communication Reports, 29, 152–162. doi:10.1080/ 08934215.2015.1067708 doi: 10.1080/08934215.2015.1067708
   Web of Science ®Google Scholar
• Bolkan, S. (2017a). Development and validation of the clarity indicators scale. Communication Education, 66, 19–36. doi: 10.1080/03634523.2016.1202994
   Web of Science ®Google Scholar
• Bolkan, S. (2017b). Instructor clarity, generative processes, and mastery goals: Examining the effects of signaling on student learning. Communication Education, 66, 385–401. doi: 10.1080/03634523.2017.1313438
   Web of Science ®Google Scholar
• Bolkan, S. (2017c). Making an impact: Facilitating student success with lessons from instructional communication and educational psychology. Dubuque, IA: Kendall Hunt.
   Google Scholar
• Bolkan, S. (2019). Facilitating student attention with multimedia presentations: Examining the effects of segmented PowerPoint presentations on student learning. Communication Education, 68, 61–79. doi: 10.1080/03634523.2018.1517895
   Web of Science ®Google Scholar
• Bolkan, S., & Goodboy, A. K. (2019). Examples and the facilitation of student learning: Should instructors provide examples or should students generate their own? Communication Education, 68, 287–307. doi: 10.1080/03634523.2019.1602275
   Web of Science ®Google Scholar
• Bolkan, S., Goodboy, A. K., & Kelsey, D. (2016). Instructor clarity and student motivation: Academic performance as a product of students’ ability and motivation to process instructional material. Communication Education, 65, 129–148. doi: 10.1080/03634523.2015.1079329
   Web of Science ®Google Scholar
• Bolkan, S., Griffin, D. J., & Goodboy, A. K. (2018). Humor in the classroom: The effects of integrated humor on student learning. Communication Education, 67, 144–164. doi: 10.1080/03634523.2017.1413199
   Web of Science ®Google Scholar
• Britton, B. K., Glynn, S. M., Meyer, B. J. F., & Penland, M. J. (1982). Effects of text structure on use of cognitive capacity during reading. Journal of Educational Psychology, 74, 51–61. doi: 10.1037/0022-0663.74.1.51
   Web of Science ®Google Scholar
• Ching, B. H.-H., & Wu, X. (2019). Concreteness fading fosters children’s understanding of the inversion concept in addition and subtraction. Learning and Instruction, 61, 148–159. doi: 10.1016/j.learninstruc.2018.10.006
   Web of Science ®Google Scholar
• Day, S. B., Motz, B. A., & Goldstone, R. L. (2015). The cognitive costs of context: The effects of concreteness and immersiveness in instructional examples. Frontiers in Psychology, 6, 1–13. doi: 10.3389/fpsyg.2015.01876
   PubMed Web of Science ®Google Scholar
• Elio, R., & Anderson, J. R. (1981). The effects of category generalizations and instance similarity on schema abstraction. Journal of Experimental Psychology: Human Learning and Memory, 7, 397–417. doi: 10.1037/0278-7393.7.6.397
   Google Scholar
• Fiorella, L., & Mayer, R. E. (2016). Eight ways to promote generative learning. Educational Psychology Review, 28, 717–741. doi: 10.1007/s10648-015-9348-9
   Web of Science ®Google Scholar
• Fyfe, E. R., McNeil, N. M., & Borjas, S. (2015). Benefits of “concreteness fading” for children’s mathematics understanding. Learning and Instruction, 35, 104–120. doi: 10.1016/j.learninstruc.2014.10.004
   Web of Science ®Google Scholar
• Fyfe, E. R., McNeil, N. M., & Son, J. Y. (2014). Concreteness fading in mathematics and science instruction: A systematic review. Educational Psychology Review, 26, 9–25. doi: 10.1007/s10648-014-9249-3
   Web of Science ®Google Scholar
• Fyfe, E. R., & Nathan, M. J. (2019). Making “concreteness fading” more concrete as a theory of instruction for promoting transfer. Educational Review, 71, 403–422. doi: 10.1080/00131911.2018.1424116
   Web of Science ®Google Scholar
• Goldstone, R. L., & Son, J. Y. (2005). The transfer of scientific principles using concrete and idealized simulations. The Journal of the Learning Sciences, 14, 69–110. doi: 10.1207/s15327809jls1401_4
   Web of Science ®Google Scholar
• Goodboy, A. K. (2017). Meeting contemporary statistical needs of instructional communication research: Modeling teaching and learning as a conditional process. Communication Education, 66, 475–477. doi: 10.1080/03634523.2017.1341637
   Web of Science ®Google Scholar
• Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). New York, NY: Guilford Press.
   Google Scholar
• Hyona, J., & Lorch, R. F. (2004). Effects of topic headings on text processing: Evidence from adult readers’ eye fixation patterns. Learning and Instruction, 14, 131–152. doi: 10.1016/j.learninstruc.2004.01.001
   Web of Science ®Google Scholar
• Kourilsky, M., & Wittrock, M. C. (1987). Verbal and graphical strategies in the teaching of economics. Teaching and Teacher Education, 3, 1–12. doi: 10.1016/0742-051X(87)90030-8
   Web of Science ®Google Scholar
• LeFevre, J.-A., & Dixon, P. (1986). Do written instructions need examples? Cognition and Instruction, 3, 1–30. doi: 10.1207/s1532690xci0301_1
   Google Scholar
• Loman, N. L., & Mayer, R. E. (1983). Signaling techniques that increase the understandability of expository prose. Journal of Educational Psychology, 75, 402–412. doi: 10.1037/0022-0663.75.3.402
   Web of Science ®Google Scholar
• Lorch, R. F. Jr. (1989). Text-signaling devices and their effects on reading and memory processes. Educational Psychology Review, 1, 209–234. doi: 10.1007/BF01320135
   Web of Science ®Google Scholar
• Lorch, R. F. Jr., Lorch, E. P., Ritchey, K., McGovern, L., & Coleman, D. (2001). Effects of headings on text summarization. Contemporary Educational Psychology, 26, 171–191. doi: 10.1006/ceps.1999.1037
   PubMed Web of Science ®Google Scholar
• Markey, A., & Loewenstein, G. (2014). Curiosity. In R. Pekrun, & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 228–245). New York, NY: Routledge.
   Google Scholar
• Mautone, P. D., & Mayer, R. E. (2001). Signaling as a cognitive guide in multimedia learning. Journal of Educational Psychology, 93, 377–389. doi:10.1037//O022-O663.93.2.377 doi: 10.1037/0022-0663.93.2.377
   Web of Science ®Google Scholar
• Mayer, R. E. (2009). Multi-media learning. New York, NY: Cambridge University Press.
   Google Scholar
• Mayer, R. E. (Ed.). (2014). The Cambridge handbook of multimedia learning. Cambridge, UK: Cambridge University Press.
   Google Scholar
• McNeil, N. M., & Fyfe, E. R. (2012). “Concreteness fading” promotes transfer of mathematical knowledge. Learning and Instruction, 22, 440–448. doi: 10.1016/j.learninstruc.2012.05.001
   Web of Science ®Google Scholar
• Meyer, B. J. F. (1975). The organization of prose and its effect on memory. New York, NY: North-Holland Publishing Company.
   Google Scholar
• Plass, J. L., Moreno, R., & Brunken, R. (Eds.). (2010). Cognitive load theory. New York, NY: Cambridge University Press.
   Google Scholar
• Rogers, R. W. (1983). Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation. In J. T. Cacioppo & R. Petty (Eds.), Social psychophysiology: A sourcebook (pp. 153–177). New York, NY: Guilford.
   Google Scholar
• Sadoski, M. (2001). Resolving the effects of concreteness on interest, comprehension, and learning important ideas from text. Educational Psychology Review, 13, 263–281. doi: 10.1023/A:1016675822931
   Web of Science ®Google Scholar
• Sadoski, M., & Paivo, A. (2013). Imagery and text: A dual coding theory of reading and writing. New York, NY: Routledge.
   Google Scholar
• Sanchez, R. P., Lorch, E. P., & Lorch, R. F. (2001). Effects of headings on text processing strategies. Contemporary Educational Psychology, 26, 418–428. doi: 10.1006/ceps.2000.1056
   PubMed Web of Science ®Google Scholar
• Schank, R. C. (1999). Dynamic memory revisited. New York, NY: Cambridge University Press.
   Google Scholar
• Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. New York, NY: Springer.
   Google Scholar
• Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296. doi: 10.1023/A:1022193728205
   Web of Science ®Google Scholar
• Titsworth, S., Mazer, J. P., Goodboy, A. K., Bolkan, S., & Myers, S. A. (2015). Two meta-analyses exploring the relationship between teacher clarity and student learning. Communication Education, 64, 385–418. doi: 10.1080/03634523.2015.1041998
   Web of Science ®Google Scholar
• Trizano-Hermosilla, I., & Alvarado, J. M. (2016). Best alternatives to Cronbach’s alpha reliability in realistic conditions: Congeneric and asymmetrical measurements. Frontiers in Psychology, 7, 769. doi:10.3389/fpsyg.2013.00769 doi: 10.3389/fpsyg.2016.00769
   PubMed Web of Science ®Google Scholar