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Revising lecture notes: how revision, pauses, and partners affect note taking and achievement

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Abstract

Note taking has been categorized as a two-stage process: the recording of notes and the review of notes. We contend that note taking might best involve a three-stage process where the missing stage is revision. This study investigated the benefits of revising lecture notes and addressed two questions: First, is revision more effective than non-revision? Second, what revision method is best? Experiment 1 addressed the first question by comparing the performance of participants who revise or recopy lecture notes. Experiment 2 addressed the second question by investigating whether revision was best done (a) during pauses throughout the lecture or one equally-timed pause after the lecture, and (b) with a partner or alone. Dependent measures were original and additional notes and fact and relationship test scores. Results upheld three effects: (a) a modest revision effect—revisers recorded more additional notes and achieved somewhat higher scores on relationship items than re-copiers, (b) a pause effect—those revising during pauses outperformed those revising after the lecture on the notes and achievement measures, and (c) a modest partner effect—those revising with partners recorded more original notes than those revising alone. Furthermore, the combination of pauses and partners has merit and holds promise as a means for revision. Overall, findings suggested that revision is a new student-centered means to boost lecture note taking and achievement.

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Notes

  1. The assumption of normality was checked for each dependent variable. Most had a normal distribution. Only one variable, additional notes, had a non-normal distribution. Therefore, both t test and Mann–Whitney U test were employed. The result of the Mann–Whitney U test mirrored the t-test result, so only t-test results were reported in line with other analyses.

  2. The sample size for notes analyses was less than that for achievement because two sets of notes were misplaced and could not be scored.

  3. The assumption of normality was checked for each dependent variable. Most had a normal distribution, except additional notes. Therefore, in addition to the overall MANOVA test, a log transformation was performed on the additional-notes measure and a one-way ANOVA followed. The significant interaction effect between pause and partner was confirmed using the log transformation, just as in MANOVA. Therefore, only MANOVA results were reported.

References

  • Aharony, N. (2006). The use of deep and surface learning strategies among students learning English as a foreign language in an Internet environment. British Journal of Educational Psychology, 76, 851–866. doi:10.1348/000709905X79158.

    Article  Google Scholar 

  • Aiken, E. G., Thomas, G. S., & Shennum, W. A. (1975). Memory for a lecture: Effects of notes, lecture rate, and informational density. Journal of Educational Psychology, 67, 439–444. doi:10.1037/h0076613.

    Article  Google Scholar 

  • Aitken, A., & Hatt, G. (2012). Students taking notes and creating summaries together (or not). In A. Herrington, J. Schrape, & K. Singh (Eds.), Engaging students with learning technologies (pp. 147–165). Perth: Curtin University.

    Google Scholar 

  • Armbruster, B. B. (2000). Taking notes from lectures. In R. F. Flippo & D. C. Caverly (Eds.), Handbook of college reading and study strategy research (pp. 175–200). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Austin, J. L., Lee, M., & Carr, J. P. (2004). The effects of guided notes on undergraduate students’ recording of lecture content. Journal of Instructional Psychology, 31, 314–320. Retrieved from: http://www.personal.psu.edu/ryt1/blogs/totos_tidbits/Effect%20of%20Guided%20Notes%20.pdf.

  • Barron, B. (2003). When smart groups fail. Journal of the Learning Sciences, 12, 307–359. doi:10.1207/S15327809JLS1203_1.

    Article  Google Scholar 

  • Bassili, J. N., & Joordens, S. (2008) Media player tool use, satisfaction with online lectures and examination performance. International Journal of E-Learning & Distance Education, 22, 93–108. Retrieved from: http://www.ijede.ca/index.php/jde/article/view/9/517.

  • Benjamin, A. S., & Tullis, J. (2010). What makes distributed practice effective? Cognitive Psychology, 61, 228–247. doi:10.1016/j.cogpsych.2010.05.004.

    Article  Google Scholar 

  • Bonner, J. M., & Holliday, W. G. (2006). How college science students engage in note-taking strategies. Journal of Research in Science Teaching, 43, 786–818. doi:10.1002/tea.20115.

    Article  Google Scholar 

  • Boyle, J. R. (2007). The process of note taking: Implications for students with mid disabilities. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 80, 227–232. doi:10.3200/TCHS.80.5.227-232.

    Article  Google Scholar 

  • Brickner, M. A., Harkins, S. G., & Ostrom, T. M. (1986). Personal involvement: Thought provoking implications for social loafing. Journal of Personality and Social Psychology, 51, 763–769. doi:10.1037/0022-3514.51.4.763.

    Article  Google Scholar 

  • Brown, C. M. (1999). Human-computer interface design guidelines. Exeter: Intellect Books.

    Google Scholar 

  • Bruffee, K. A. (1999). Collaborative learning: Higher education, independence, and the authority of knowledge (2nd ed.). Baltimore, MD: Johns Hopkins University Press.

    Google Scholar 

  • Bui, D. C., & Myerson, J. (2014). The role of working memory abilities in lecture note-taking. Learning and Individual Differences, 33, 12–22. doi:10.1016/j.lindif.2014.05.002.

    Article  Google Scholar 

  • Bui, D. C., Myerson, J., & Hale, S. (2013). Note-taking with computers: Exploring alternative strategies for improved recall. Journal of Educational Psychology, 105, 299–309. doi:10.1037/a0030367.

    Article  Google Scholar 

  • Castello, M., & Monereo, C. (2005). Students’ note-taking as a knowledge-construction tool. Educational Studies in Language and Literature, 5, 265–285. doi:10.1007/s10674-005-8557-4.

    Article  Google Scholar 

  • Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132, 354–380. doi:10.1037/0033-2909.132.3.354.

    Article  Google Scholar 

  • Chi, M. T. H., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49, 219–243. doi:10.1080/00461520.2014.965823.

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. doi:10.1037/0033-2909.112.1.155.

    Article  Google Scholar 

  • Crooks, S. M., White, D. R., & Barnard, L. (2007). Factors influencing the effectiveness of note taking on computer-based graphic organizers. Journal of Educational Computing Research, 37, 369–391. doi:10.2190/EC.37.4.c.

    Article  Google Scholar 

  • Dash, P. K., Hebert, A. E., & Runyan, J. D. (2004). A unified theory for systems and cellular memory consolidation. Brain Research Reviews, 45, 30–37. doi:10.1016/j.brainresrev.2004.02.001.

    Article  Google Scholar 

  • DeBerard, M. S., Spielmans, G. I., & Julka, D. C. (2004). Predictors of academic achievement and retention among college freshmen: A longitudinal study. College Student Journal, 38, 66–80.

    Google Scholar 

  • Delgado-Tellez, M., & Raposo, A. P. (2011, November). Motivating creativity and cooperation in classroom. In Proceedings of the 4th international conference of education, research and innovation, Madrid, Spain (pp. 1699–1703). Retrieved from http://library.iated.org/publications/ICERI2011.

  • Di Vesta, F. J., & Gray, S. G. (1972). Listening and note taking. Journal of Educational Psychology, 63, 8–14. doi:10.1037/h0032243.

    Article  Google Scholar 

  • Di Vesta, F. J., & Gray, S. G. (1973). Listening and note taking: II. Immediate and delayed recall as functions of variations in thematic continuity, note taking, and length of listening-review intervals. Journal of Educational Psychology, 64, 278–287. doi:10.1037/h0032243.

    Article  Google Scholar 

  • Dochy, F., Segers, M., & Buehl, M. M. (1999). The relation between assessment practices and outcomes of studies: The case of research on prior knowledge. Review of Educational Research, 69, 145–186. doi:10.3102/00346543069002145.

    Article  Google Scholar 

  • Ebbinghaus, H. (1964). Memory: A contribution to experimental psychology (H. A. Ruger, C. E. Bussenius, & E. R. Hilgard, Trans.). Mineola, NY: Dover Publications. (Original work published 1885).

  • Einstein, G. O., Morris, J., & Smith, S. (1985). Notetaking, individual differences, and memory for lecture information. Journal of Educational Psychology, 77, 522–532. doi:10.1037/0022-0663.77.5.522.

    Article  Google Scholar 

  • Exley, K., & Dennick, R. (2009). Giving a lecture: From presenting to teaching (2nd ed.). London: Routledge.

    Google Scholar 

  • Frisbie, D. A. (1988). Reliability of scores from teacher-made tests. Educational Measurement: Issues and Practice, 7, 25–35. doi:10.1111/j.1745-3992.1988.tb00422.x.

    Article  Google Scholar 

  • Gillies, R. M. (2004). The effects of cooperative learning on junior high school students during small group learning. Learning and Instruction, 14, 197–213. doi:10.1016/S0959-4752(03)00068-9.

    Article  Google Scholar 

  • Grabe, M. (2005). Voluntary use of online lecture notes: Correlates of note use and note use as an alternative to class attendance. Computers & Education, 44, 409–421. doi:10.1016/j.compedu.2004.04.005.

    Article  Google Scholar 

  • Haynes, S. N., Richard, D. C. S., & Kubany, E. S. (1995). Content validity in psychological assessment: A functional approach to concepts and methods. Psychological Assessment, 7, 238–247. doi:10.1037/1040-3590.7.3.238.

    Article  Google Scholar 

  • Howe, M. J. A. (1970). Using students’ notes to examine the role of the individual learner in acquiring meaningful subject matter. Journal of Educational Research, 64, 61–63. doi:10.1080/00220671.1970.10884094.

    Article  Google Scholar 

  • Jairam, D., & Kiewra, K. A. (2010). Helping students soar to success on computers: An investigation of the SOAR study method for computer-based learning. Journal of Educational Psychology, 102, 601–614. doi:10.1037/a0019137.

    Article  Google Scholar 

  • Johnson, D. W., & Johnson, R. T. (1999). Making cooperative learning work. Theory into Practice, 38, 67–73. doi:10.1080/00405849909543834.

    Article  Google Scholar 

  • Kam, M., Wang, J., Iles, A., Tse, E., Chiu, J., Glaser, D. et al. (2005). Livenotes: A system for cooperative and augmented note-taking in lectures. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 531–540). New York: ACM. doi:10.1145/1054972.1055046.

  • Karat, C. M., Halverson, C., Horn, D., & Karat, J. (1999). Patterns of entry and correction in large vocabulary continuous speech recognition systems. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 568–575). New York: ACM. doi:10.1145/302979.303160.

  • Karpicke, J. D. (2012). Retrieval-based learning: Active retrieval promotes meaningful learning. Current Directions in Psychological Science, 21, 157–163. doi:10.1177/0963721412443552.

    Article  Google Scholar 

  • Karpicke, J. D., Butler, A. C., & Roediger, H. L. (2009). Metacognitive strategies in student learning: Do students practice retrieval when they study on their own? Memory, 17, 471–479. doi:10.1080/09658210802647009.

    Article  Google Scholar 

  • Katayama, A. D., & Crooks, S. M. (2003). Online notes: Differential effects of studying complete or partial graphically organized notes. Journal of Experimental Education, 71, 293–312. doi:10.1080/00220970309602067.

    Article  Google Scholar 

  • Kiewra, K. A. (1985a). Investigating notetaking and review: A depth of processing alternative. Educational Psychologist, 20, 23–32. doi:10.1207/s15326985ep2001_4.

    Article  Google Scholar 

  • Kiewra, K. A. (1985b). Learning from a lecture: An investigation of notetaking, review, and attendance at a lecture. Human Learning, 4, 73–77.

    Google Scholar 

  • Kiewra, K. A. (1989a). A review of note-taking: The encoding-storage paradigm and beyond. Educational Psychology Review, 1, 147–172. doi:10.1007/BF01326640.

    Article  Google Scholar 

  • Kiewra, K. A. (1989b). Cognitive aspects of autonomous note taking: Control processes, learning strategies, and prior knowledge. Educational Psychologist, 23, 39–56. doi:10.1207/s15326985ep2301_3.

    Article  Google Scholar 

  • Kiewra, K. A., Benton, S. L., Kim, S., Risch, N., & Christensen, M. (1995). Effects of note taking format and study technique on recall and relational performance. Contemporary Educational Psychology, 20, 172–187. doi:10.1006/ceps.1995.1011.

    Article  Google Scholar 

  • Kiewra, K. A., Mayer, R. E., Christensen, M., Kim, S. I., & Risch, N. (1991). Effects of repetition on recall and note-taking: Strategies for learning from lectures. Journal of Educational Psychology, 83, 120–123. doi:10.1037/0022-0663.83.1.120.

    Article  Google Scholar 

  • Kintsch, W. (1988). The role of knowledge in discourse comprehension: A construction–integration model. Psychological Review, 95, 163–182. doi:10.1037/0033-295X.95.2.163.

    Article  Google Scholar 

  • Kobayashi, K. (2006). Combined effects of note-taking/reviewing on learning and the enhancement through interventions: A meta-analytic review. Educational Psychology, 26, 459–477. doi:10.1080/01443410500342070.

    Article  Google Scholar 

  • Konrad, M., Joseph, L. M., & Eveleigh, E. (2009). A meta-analytic review of guided notes. Education and Treatment of Children, 32, 421–444. doi:10.1353/etc.0.0066.

    Article  Google Scholar 

  • Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 1–12. doi:10.3389/fpsyg.2013.00863.

    Article  Google Scholar 

  • Lambiotte, J. G., Skaggs, L. P., & Dansereau, D. F. (1993). Learning from lecture: Effects of knowledge maps and cooperative review strategies. Applied Cognitive Psychology, 7, 483–497. doi:10.1002/acp.2350070604.

    Article  Google Scholar 

  • Larson, R., & Farber, E. (2011). Elementary statistics: Picturing the world (5th ed.). Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  • Maydosz, A., & Raver, S. A. (2010). Note taking and university students with learning difficulties: What supports are needed? Journal of Diversity in Higher Education, 3, 177–186. doi:10.1037/a0020297.

    Article  Google Scholar 

  • Mitnik, R., Recabarren, M., Nussbaum, M., & Soto, A. (2009). Collaborative robotic instruction: A graph teaching experience. Computers & Education, 53, 330–342. doi:10.1016/j/compedu.2009.02.010.

    Article  Google Scholar 

  • Mueller, P. A., & Oppenheimer, D. M. (2014). The pen is mightier than the keyboard: Advantages of longhand over laptop note taking. Psychological Science,. doi:10.1177/0956797614524581.

    Google Scholar 

  • O’Donnell, A., & Dansereau, D. F. (1993). Learning from lectures: Effects of cooperative review. Journal of Experimental Education, 61, 116–125. doi:10.1080/00220973.1993.9943856.

    Article  Google Scholar 

  • Omoigui, N., He L., Gupta, A., Grudin, J., & Sanocki, E. (1999). Time-compression: Systems concerns, usage, and benefits. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 136–143). New York: ACM. doi:10.1145/302979.303017.

  • Onwuegbuzie, A. J., & Daniel, L. G. (2002). A framework for reporting and interpreting internal consistency reliability estimates. Measurement and Evaluation in Counseling and Development, 35, 89–103. Retrieved from Academic Search Premier Database.

  • Peverly, S. T., Brobst, K. E., Graham, M., & Shaw, R. (2003). College adults are not good at self-regulation: A study on the relationship of self-regulation, note taking, and test taking. Journal of Educational Psychology, 95, 335–346. doi:10.1037/0022-0663.95.2.335.

    Article  Google Scholar 

  • Peverly, S. T., Vekaria, P. C., Reddington, L. A., Sumowski, J. F., Johnson, K. R., & Ramsay, C. M. (2013). The relationship of handwriting speed, working memory, language comprehension and outlines to lecture note-taking and test-taking among college students. Applied Cognitive Psychology, 27, 115–126. doi:10.1002/acp.2881.

    Article  Google Scholar 

  • Piolat, A., Olive, T., & Kellogg, R. T. (2005). Cognitive effort during note taking. Applied Cognitive Psychology, 19, 291–312. doi:10.1002/acp.1086.

    Article  Google Scholar 

  • Raver, S. A., & Maydosz, A. S. (2010). Impact of the provision and timing of instructor-provided notes on university students’ learning. Active Learning in Higher Education, 11, 189–200. doi:10.1177/1469787410379682.

    Article  Google Scholar 

  • Reimer, Y. J., Brimhall, E., Cao, C., & O’Reilly, K. (2009). Empirical user studies inform the design of an e-notetaking and information assimilation system for students in higher education. Computers & Education, 52, 893–913. doi:10.1016/j.compedu.2008.12.013.

    Article  Google Scholar 

  • Roediger, H. L. (2000). Why retrieval is the key process in understanding human memory. In E. Tulving (Ed.), Memory, consciousness, and the brain: The Tallinn conference (pp. 52–75). Philadelphia, PA: Psychology Press.

    Google Scholar 

  • Rosenthal, R., & Rubin, D. B. (1984). Multiple contrasts and ordered Bonferroni procedures. Journal of Educational Psychology, 76, 1028–1034. doi:10.1037/0022-0663.76.6.1028.

    Article  Google Scholar 

  • Scerbo, M. W., Warm, J. S., Dember, W. N., & Grasha, A. F. (1992). The role of time and cuing in a college lecture. Contemporary Educational Psychology, 17, 312–328. doi:10.1016/0361-476X(92)90070-F.

    Article  Google Scholar 

  • Schoen, I. (2012). Effects of method and context of note-taking on memory: Handwriting versus typing in lecture and textbook-reading contexts. Pitzer Senior Theses. Paper 20. Retrieved from http://scholarship.claremont.edu/pitzer_theses/20.

  • Stefanou, C., Hoffman, L., & Vielee, N. (2008). Note-taking in the college classroom as evidence of generative learning. Learning Environment Resources, 11, 1–17. doi:10.1007/s10984-007-9033-0.

    Article  Google Scholar 

  • Stringfellow, J. L., & Miller, S. P. (2005). Enhancing student performance in secondary classrooms while providing access to the general education curriculum using lecture formats. Teaching Exceptional Children Plus, 1, 1–16.

    Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Pearson.

    Google Scholar 

  • Thomson, D. M., & Tulving, E. (1970). Associative encoding and retrieval: Weak and strong cues. Journal of Experimental Psychology, 86, 255–262. doi:10.1037/h0029997.

    Article  Google Scholar 

  • Thorndike, E. L. (1912). The curve of work. Psychological Review, 19, 165–194. doi:10.1037/h0073541.

    Article  Google Scholar 

  • Titsworth, B. S. (2004). Students’ note taking: The effects of teacher immediacy and clarity. Communication Education, 53, 305–320. doi:10.1080/0363452032000305922.

    Article  Google Scholar 

  • Titsworth, B. S., & Kiewra, K. A. (2004). Spoken organizational lecture cues and student notetaking as facilitators of student learning. Contemporary Educational Psychology, 29, 447–461. doi:10.1016/j.cedpsych.2003.12.001.

    Article  Google Scholar 

  • Vygotsky, L. S. (1962). Thought and language. Cambridge, MA: MIT Press. (Original work published in 1934).

  • Watts, M., & Becker, W. E. (2008). A little more than chalk and talk: Results from a third national survey of teaching methods in undergraduate economics courses. The Journal of Economic Education, 39, 273–286. doi:10.3200/JECE.39.3.273-286.

    Article  Google Scholar 

  • Wickelgren, W. A. (1972). Trace resistance and the decay of long-term memory. Journal of Mathematical Psychology, 9, 418–455. doi:10.1016/0022-2496(72)90015-6.

    Article  Google Scholar 

  • Williams, R. L., & Eggert, A. C. (2002). Notetaking in college classes: Student patterns and instructional strategies. Journal of General Education, 51, 173–199. doi:10.1353/jge.2003.0006.

    Article  Google Scholar 

  • Williams, R. L., & Worth, S. L. (2002). Thinking skills and work habits: Contributors to course performance. Journal of General Education, 51, 200–227. doi:10.1353/jge.2003.0007.

    Article  Google Scholar 

  • Wong, L. (2014). Essential study skills (8th ed.). Stamford, CT: Cengage Learning.

    Google Scholar 

  • Yetter, G., Gutkin, T., Saunders, A., Galloway, A., Sobansky, R., & Song, S. (2006). Individual practice for complex problem solving: A cautionary tale. Journal of Experimental Education, 74, 137–159. doi:10.3200/JEXE.74.2.137-160.

    Article  Google Scholar 

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Luo, L., Kiewra, K.A. & Samuelson, L. Revising lecture notes: how revision, pauses, and partners affect note taking and achievement. Instr Sci 44, 45–67 (2016). https://doi.org/10.1007/s11251-016-9370-4

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