Adesope, O. O., Trevisan, D. A., & Sundararajan, N. (2017). Rethinking the use of tests: A meta-analysis of practice testing. Review of Educational Research, 87, 659–701.
Google Scholar
Baribault, B., Donkin, C., Little, D. R., Trueblood, J. S., Oravecz, Z., van Ravenzwaaij, D., White, C. N., De Boeck, P., & Vandekerckhove, J. (2018). Metastudies for robust tests of theory. Proceedings of the National Academy of Sciences, 115, 2607–2612.
Google Scholar
Ben-Shachar, M. S., Makowski, D., & Lüdecke, D. (2020). Compute and interpret indices of effect size. CRAN. Available from https://github.com/easystats/effectsize.
Bixler, R., & D’Mello, S. (2016). Automatic gaze-based user-independent detection of mind wandering during computerized reading. User Modeling and User-Adapted Interaction, 26, 33–68.
Google Scholar
Bjork, R. A., Dunlosky, J., & Kornell, N. (2013). Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology, 64, 417–444.
PubMed
Google Scholar
Brunswik, E. (1955). Representative design and probabilistic theory in a functional psychology. Psychological Review, 62, 193–217.
PubMed
Google Scholar
Bull, S. G., & Dizney, H. F. (1973). Epistemic-curiosity-arousing prequestions: Their effect on long-term retention. Journal of Educational Psychology, 65, 45–49.
Google Scholar
Carpenter, S. K., & Toftness, A. R. (2017). The effect of prequestions on learning from video presentations. Journal of Applied Research in Memory & Cognition, 6, 104–109.
Google Scholar
Chan, J. C. K., Meissner, C. A., & Davis, S. D. (2018). Retrieval potentiates new learning: A theoretical and meta-analytic review. Psychological Bulletin, 144, 1111–1146.
PubMed
Google Scholar
Cho, K. W., Neely, J. H., Crocco, S., & Vitrano, D. (2017). Testing enhances both encoding and retrieval for both tested and untested items. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 70, 1211–1235.
Google Scholar
Cohen, J., Hansel, C. E. M., & Sylvester, J. D. (1956). Mind wandering. British Journal of Psychology, 47, 61–62.
PubMed
Google Scholar
Craik, F. I. M., & Tulving, E. (1975). Depth of processing and the retention of words in episodic memory. Journal of Experimental Psychology: General, 104, 268–294.
Google Scholar
Dhindsa, K., Acai, A., Wagner, N., Bosynak, D., Kelly, S., Bhandari, M., Petrisor, B., & Sonnadara, R. R. (2019). Individualized pattern recognition for detecting mind wandering from EEG during live lectures. PLoS ONE, 14(9), e0222276. https://doi.org/10.1371/journal.pone.0222276
Article
PubMed
PubMed Central
Google Scholar
Faber, M., Bixler, R., & D’Mello, S. K. (2018). An automated behavioral measure of mind wandering during computerized reading. Behavior Research Methods, 50, 134–150.
PubMed
Google Scholar
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G_Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175–191.
Google Scholar
Finn, B., & Tauber, S. K. (2015). When confidence is not a signal of knowing: How students’ experiences and beliefs about processing fluency can lead to miscalibrated confidence. Educational Psychology Review, 27, 567–586.
Google Scholar
Forrin, N. D., Mills, C., D’Mello, S. K., Risko, E. F., Smilek, D., & Seli, P. (2021). TL;DR: Longer sections of text increase rates of unintentional mind-wandering. Journal of Experimental Education,. https://doi.org/10.1080/00220973.2020.1751578.
Article
Google Scholar
Fyfe, E. R., de Leeuw, J. R., Carvalho, P. F., Goldstone, R. L., Sherman, J., Admiraal, D., Alford, L. K., Bonner, A., Brassil, C. E., Brooks, C. A., Carbonetto, T., Chang, S. H., Cruz, L., Czymoniewicz-Klippel, M., Daniel, F., Driessen, M., Habashy, N., Hanson-Bradley, C. L., Hirt, E. R., & Motz, B. A. (2021). ManyClasses 1: Assessing the generalizable effect of immediate feedback versus delayed feedback across many college classes. Advances in Methods and Practices in Psychological Science, 4, 1–24.
Google Scholar
Geller, J., Carpenter, S. K., Lamm, M. H., Rahman, S., Armstrong, P. I., & Coffman, C. R. (2017). Prequestions do not enhance the benefits of retrieval in a STEM classroom. Cognitive Research: Principles and Implications, 2(1), 1–13.
Google Scholar
Greenwald, A. G., Pratkanis, A. R., Leippe, M. R., & Baumbardner, M. H. (1986). Under what conditions does theory obstruct research progress? Psychological Review, 93, 216–229.
PubMed
Google Scholar
Hannafin, M. J., & Hughes, C. W. (1986). A framework for incorporating orienting activities in computer-based interactive video .Instructional Science, 15, 239–255.
Harder, J. A. (2020). The multiverse of methods: Extending the multiverse analysis to address data-collection decisions. Perspectives on Psychological Science, 15, 1158–1177.
PubMed
Google Scholar
Hollis, R. B., & Was, C. A. (2016). Mind wandering, control failures, and social media distraction in online learning. Learning and Instruction, 42, 104–112.
Google Scholar
Immordino-Yang, M. H., Christodoulou, J. A., & Singh, V. (2012). Rest is not idleness: Implications of the brain’s default mode for human development and education. Perspectives on Psychological Science, 7, 352–364.
PubMed
Google Scholar
Jing, H. G., Szpunar, K. K., & Schacter, D. L. (2016). Interpolated testing influences focused attention and improves integrations of information during a video-recorded lecture. Journal of Experimental Psychology: Applied, 22, 305–318.
PubMed
Google Scholar
Jordano, M. J. (2018). How often do younger and older adults engage in monitoring? A new approach to studying metacognition. Unpublished doctoral dissertation. University of North Carolina at Greensboro.
Kane, M. J., Carruth, N., Lurquin, J., Silvia, P., Smeekens, B. A., von Bastian, C. C., & Miyake, A. (2021). Individual differences in task-unrelated thought in university classrooms. Memory & Cognition, 49, 1247–1266.
Google Scholar
Kane, M. J., Smeekens, B. A., Meier, M., Welhaf, M., & Phillips, N. (2021). Testing the construct validity of competing measurement approaches to probed mind-wandering reports. Behavior Research Methods. https://doi.org/10.3758/s13428-021-01557-x
Article
PubMed
PubMed Central
Google Scholar
Kane, M. J., Smeekens, B. A., von Bastian, C. C., Lurquin, J. H., Carruth, N. P., & Miyake, A. (2017). A combined experimental and individual-differences investigation into mind wandering during a video lecture. Journal of Experimental Psychology: General, 146, 1649–1674.
Google Scholar
Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773–795.
Google Scholar
Kline, R. B. (2004). Beyond significance testing: Reforming data analysis methods in behavioral research. American Psychological Association. https://doi.org/10.1037/10693-000
Book
Google Scholar
Kornell, N., & Vaughn, K. E. (2016). How retrieval attempts affect learning: A review and synthesis. In B. Ross (Ed.), The Psychology of Learning and Motivation, 65 (pp. 183–215). Academic Press.
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, 863. https://doi.org/10.3389/fpsyg.2013.00863
Article
PubMed
PubMed Central
Google Scholar
Landy, J. F., Jia, M., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., Ly, A., van den Bergh, D., Marsman, M., Derks, K., Wagenmakers, E.-J., Proctor, A., Bartels, D. M., Bauman, C. W., Brady, W. J., & Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146, 451–479.
PubMed
Google Scholar
Lang, J. M. (2020). Distracted: Why students can’t focus and what you can do about it. Basic books.
Lang, J. M. (2021). Small teaching: Everyday lessons from the science of learning (2nd ed.) Jossey-Bass.
Lee, H. S., & Ahn, D. (2017). Testing prepares students to learn better: The forward effect of testing in category learning. Journal of Educational Psychology, 110, 203–217.
Google Scholar
Lindquist, S. I., & McLean, J. P. (2011). Daydreaming and its correlates in an education environment. Learning and Individual Differences, 21, 158–167.
Google Scholar
Linnenbrink-Garcia, L., Durik, A. M., Conley, A. M., Barron, K. E., Tauer, J. M., Karabenick, S. A., & Harackiewicz, J. M. (2010). Measuring situational interest in academic domains. Educational and Psychological Measurement, 70, 647–671.
Google Scholar
Locke, L. F., & Jensen, M. K. (1974). Thought sampling: A study of student attention through self-report. Research Quarterly, 45, 263–275.
PubMed
Google Scholar
Loh, K. K., Tan, B. Z. H., & Lim, S. W. H. (2016). Media multitasking predicts video-recorded lecture learning performance through mind wandering tendencies. Computers in Human Behavior, 63, 943–947.
Google Scholar
Magnusson, K. (2020). Interpreting Cohen's d effect size: An interactive visualization (Version 2.4.2) [Web App]. R Psychologist. https://rpsychologist.com/cohend/
Metcalfe, J. (2017). Learning from errors. Annual Review of Psychology, 68, 465–489.
PubMed
Google Scholar
Mills, C., Gregg, J., Bixler, R., & D’Mello, S. K. (2021). Eye-mind reader: An intelligent reading interface that promotes long-term comprehension by detecting and responding to mind wandering. Human-Computer Interaction, 36, 306–332.
Google Scholar
Morey, R. D., & Rouder, J. N. (2018). BayesFactor: Computation of Bayes Factors for Common Designs. R package version 0.9.12–4.2. https://cran.r-project.org/web/packages/BayesFactor/index.html
Pachai, A. A., Acai, A., LoGiudice, A. B., & Kim, J. A. (2016). The mind that wanders: Challenges and potential benefits of mind wandering in education. Scholarship of Teaching and Learning in Psychology, 2, 134–146.
Google Scholar
Pan, S. C., & Rickard, T. C. (2018). Transfer of test-enhanced learning: Meta-analytic review and synthesis. Psychological Bulletin, 144(7), 710–756.
PubMed
Google Scholar
Pan, S. C., Schmitt, A. G., Bjork, E. L., & Sana, F. (2020). Pretesting reduces mind wandering and enhances learning during online lectures. Journal of Applied Research in Memory and Cognition, 9, 542–554.
Google Scholar
Pastötter, B., Schicker, S., Niedernhuber, J., & Bäuml, K. H. T. (2011). Retrieval during learning facilitates subsequent memory encoding. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(2), 287.
PubMed
Google Scholar
Pastötter, B., & Bauml, K. H. (2014). Retrieval practice enhances new learning: The forward effect of testing. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2014.00286
Article
PubMed
PubMed Central
Google Scholar
Peeck, J. (1970). Effect of prequestions on delayed retention of prose material. Journal of Educational Psychology, 61, 241–246.
Google Scholar
Perugini, M., Gallucci, M., & Costantini, G. (2014). Safeguard power as a protection against imprecise power estimates. Perspectives on Psychological Science, 9, 319–332.
PubMed
Google Scholar
Pham, P., & Wang, J. (2015). AttentiveLearner: Improving mobile MOOC learning via implicit heart rate tracking. In C. Conati, N. Heffernan, A. Mitrovic, & M. F. Verdejo (Eds.), Artificial intelligence in education (pp. 367–376). Springer.
Google Scholar
Pressley, M., Tanenbaum, R., McDaniel, M. A., & Wood, E. (1990). What happens when university students try to answer prequestions that accompany textbook material? Contemporary Educational Psychology, 15, 27–35.
Google Scholar
R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Ralph, B. C. W., Wammes, J. D., Barr, N., & Smilek, D. (2017). Wandering minds and wavering goals: Examining the relation between mind wandering and grit in everyday life and the classroom. Canadian Journal of Experimental Psychology, 71, 120–132.
PubMed
Google Scholar
Richland, L. E., Kornell, N., & Kao, L. S. (2009). The pretesting effect: Do unsuccessful retrieval attempts enhance learning? Journal of Experimental Psychology: Applied, 15, 243–257.
PubMed
Google Scholar
Risko, E. F., Anderson, N., Sawal, A., Engelhardt, M., & Kingstone, A. (2011). Everyday attention: Variation in mind wandering and memory in a lecture. Applied Cognitive Psychology, 26, 234–242.
Google Scholar
Risko, E. F., Buchanan, D., Medimorec, S., & Kingstone, A. (2013). Everyday attention: Mind wandering and computer use during lectures. Computers & Education, 68, 275–283.
Google Scholar
Roediger, H. L., III., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15, 20–27.
PubMed
Google Scholar
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t-tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16, 225–237.
Google Scholar
Rowland, C. A. (2014). The effect of testing versus restudy on retention: A meta-analytic review of the testing effect. Psychological Bulletin, 140, 1432–1463.
PubMed
Google Scholar
Sagaria, S. D., & Di Vesta, F. (1978). Learner expectations induced by adjunct questions and the retrieval of intentional and incidental information. Journal of Educational Psychology, 70, 280–288.
Google Scholar
Schäfer, T., & Schwarz, M. A. (2019). The meaningfulness of effect sizes in psychological research: Differences between sub-disciplines and the impact of potential biases. Frontiers in Psychology, 10, 813. https://doi.org/10.3389/fpsyg.2019.00813
Article
PubMed
PubMed Central
Google Scholar
Schmalz, X., Biurrun-Manresa, J., & Zhang, L. (2021). What is a Bayes factor? Psychological Methods. https://doi.org/10.1037/met0000421
Article
PubMed
Google Scholar
Schoen, J. R. (1970). Use of consciousness sampling to study teaching methods. The Journal of Educational Research, 63, 387–390.
Google Scholar
Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47, 609–612.
Google Scholar
Shukor, S. (2005). Insights into students’ thoughts during problem based learning small group discussions and traditional tutorials. Unpublished manuscript. Retrieved March 18, 2016 from: http://www.tp.edu.sg/staticfiles/TP/files/centres/pbl/pbl_suriya_shukor.pdf
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2012). A 21 word solution. Dialogue: The Official Newsletter of the Society for Personality and Social Psychology, 26, 4 –7.
Simpson, A. (2018). Princesses are bigger than elephants: Effect size as a category error in evidence-based education. British Educational Research Journal, 44, 897–913.
Google Scholar
Singmann, H., Bolker, B., Westfall, J., Aust, F., & Ben-Shachar, M. S. (2020). afex: Analysis of Factorial Experiments. R package version 0.27-2. https://CRAN.R-project.org/package=afex
Smallwood, J., Fishman, D. J., & Schooler, J. W. (2007). Counting the cost of an absent mind: Mind wandering as an underrecognized influence on educational performance. Psychonomic Bulletin & Review, 14, 230–236.
Google Scholar
St. Hilaire, K. J., & Carpenter, S. K. (2020). Prequestions enhance learning, but only when they are remembered. Journal of Experimental Psychology: Applied, 26(4), 705–716.
Szpunar, K. K., Khan, N. Y., & Schacter, D. L. (2013). Interpolated memory tests reduce mind wandering and improve learning of online lectures. Proceedings of the National Academy of Sciences, USA of the United States of America, 110, 6313–6317.
Google Scholar
Szpunar, K. K., Moulton, S. T., & Schacter, D. L. (2013). Mind wandering and education: From the classroom to online learning. Frontiers in Psychology, 4, 495. https://doi.org/10.3389/fpsyg.2013.00495
Article
PubMed
PubMed Central
Google Scholar
Unsworth, N., McMillan, B. D., Brewer, G. A., & Spillers, G. J. (2012). Everyday attention failures: An individual differences investigation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38, 1765–1772.
PubMed
Google Scholar
Varao-Sousa, T. L., & Kingstone, A. (2015). Memory for lectures: How lecture format impacts the learning experience. PLoS ONE, 10(11), e0141587. https://doi.org/10.1371/journal.pone.0141587
Article
PubMed
PubMed Central
Google Scholar
Wammes, J. D., Boucher, P. O., Seli, P., Cheyne, J. A., & Smilek, D. (2016a). Mind wandering during lectures I: Changes in rates across an entire semester. Scholarship of Teaching and Learning in Psychology, 2, 13–32.
Google Scholar
Wammes, J. D., Ralph, B. C. W., Mills, C., Bosch, N., Duncan, T. L., & Smilek, D. (2019). Disengagement during lectures: Media multi-tasking and mind wandering in university classrooms. Computers & Education, 132, 76–89.
Google Scholar
Wammes, J. D., Seli, P., Cheyne, J. A., Boucher, P. O., & Smilek, D. (2016b). Mind wandering during lectures II: Relation to academic performance. Scholarship of Teaching and Learning in Psychology, 2, 33–48.
Google Scholar
Wammes, J. D., & Smilek, D. (2017). Examining the influence of lecture format on degree of mind wandering. Journal of Applied Research in Memory and Cognition, 6(2), 174–184.
Google Scholar
Wickham, H. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag.
Google Scholar
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pederson, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V. & Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4, 1686.
Wissman, K. T., Rawson, K. A., & Pyc, M. A. (2011). The interim test effect: Testing prior material can facilitate the learning of new material. Psychonomic Bulletin & Review, 18, 1140–1147.
Google Scholar