The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring
Abstract
T w o University of Chicago doctoral students in education, Anania (1982, 1983) and Burke (1984), completed dissertations in which they compared student learning under the following three conditions of instruction: 1. Conventional. Students learn the subject matter in a class with about 30 students per teacher. Tests are given periodically for marking the students. 2. Mastery Learning. Students learn the subject matter in a class with about 30 students per teacher. The instruction is the same as in the conventional class (usually with the same teacher). Formative tests (the same tests used with the conventional group) are given for feedback followed by corrective procedures and parallel formative tests to determine the extent to which the students have mastered the subject matter. 3. Tutoring. Students learn the subject matter with a good tutor for each student (or for two or three students simultaneously). This tutoring instruction is followed periodically by formative tests, feedback-corrective procedures, and parallel formative tests as in the mastery learning classes. It should be pointed out that the need for corrective work under tutoring is very small.
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In the citing paper
“skills vary within individuals based on goals, emotional states, and contextual supportsproducing a child's developmental range”
From Malleability, plasticity, and individuality: How children learn and develop in context1 (2019) · cites this paper as Bloom, 1984
In the citing paper
“a child's performance within that range can be optimized under conditions of high, personalized support”
From Malleability, plasticity, and individuality: How children learn and develop in context1 (2019) · cites this paper as Bloom, 1984
In the citing paper
“Bloom found that students who received effective one-on-one tutoring through a mastery learning framework performed two standard deviations better than students who did not.”
From Malleability, plasticity, and individuality: How children learn and develop in context1 (2019) · cites this paper as Bloom, 1984
In the citing paper
“One-to-one tutoring is an effective teaching method (Bloom, 1984).”
From Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure (2025) · cites this paper as Bloom, 1984
In the citing paper
“We believe that the increased learning from structured AI tutoring is largely due to its ability to offer personalized feedback on demand—just as one-on-one tutoring from a (human) expert is superior to classroom instruction15.”
From AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting (2025) · cites this paper as [15]
In the citing paper
“While the advantages of personalized instruction are clear, this model of education cannot scale to meet the needs of a large number of students15.”
From AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting (2025) · cites this paper as [15]
In the citing paper
“Working with an expert personal tutor is generally regarded as the most efficient form of education15.”
From AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting (2025) · cites this paper as [15]
In the citing paper
“More focused effort on developing computer-based tutoring systems in particular started following the findings of Bloom (Bloom, 1984)—students who received tutoring in addition to group classes fared two standard deviations better than those who only participated in group classes.”
From Proactive and reactive engagement of artificial intelligence methods for education: a review (2023) · cites this paper as Bloom, 1984
Citations
Cites
From dissertation abstracts international
(1974) · ACM SIGGRAPH Computer Graphics · doi:10.1145/988616.988619 · Cited by 12,208
Taxonomy of Educational Objectives. Handbook I: Cognitive Domain
Bloom, B., & Krathwohl, D. R. (1966) · Cited by 4,624
Self-citationThe use of advance organizers in the learning and retention of meaningful verbal material.
Ausubel, D. P. (1960) · Journal of Educational Psychology · doi:10.1037/h0046669 · Cited by 1,457
Educational Outcomes of Tutoring: A Meta-analysis of Findings
Cohen, P. A., Kulik, J. A., & Kulik, C.-L. C. (1982) · American Educational Research Journal · doi:10.3102/00028312019002237 · Cited by 1,138
Taxonomy of Educational Objectives. Handbook I: Cognitive Domain
Blyth, W. A. L., Bloom, B., & Krathwohl, D. R. (1966) · British Journal of Educational Studies · doi:10.2307/3119730 · Cited by 1,123
Self-citationBrophy, J. E., & Good, T. L. (1970) · Journal of Educational Psychology · doi:10.1037/h0029908 · Cited by 922
Slavin, R. E. (1980) · Review of Educational Research · doi:10.3102/00346543050002315 · Cited by 771
Improving the Productivity of America's Schools.
Walberg, H. J. (1984) · Educational leadership · Cited by 731
Jackson, D. R. (2023) · Sage eBooks · doi:10.4135/9781071840801.n92 · Cited by 418
Socio‐psychological Environments and Learning: a quantitative synthesis
Haertel, G. D., Walberg, H. J., & Haertel, E. H. (1981) · British Educational Research Journal · doi:10.1080/0141192810070103 · Cited by 354
Research works printed but not linked: 13
- Anania J, 1982, Dissertation Abstracts International, 42, 4269A
- Bloom BS, 1980, Phi Delta Kappan, 61, 6
- Burke AJ, 1984, Dissertation Abstracts International, 44, 2025A
- DaveRHThe identification and measurement of environment process variables that are related to educational achievement1963(Unpublished doctoral dissertation, University of Chicago)
- DolanLJThe affective correlates of home concern and support, instructional quality, and achievement1980(Unpublished doctoral dissertation, University of Chicago)
- JanhomSEducating parents to educate their children1983(Unpublished doctoral dissertation, University of Chicago)
- Leyton FS, 1983, Dissertation Abstracts International, 44, 974A
- MevarechZRThe role of teaching-learning strategies and feed-back-corrective procedures in developing higher cognitive achievement1980(Unpublished doctoral dissertation, University of Chicago)
- NordinABThe effects of different qualities of instruction on selected cognitive, affective, and time variables1979(Unpublished doctoral dissertation, University of Chicago)
- Nordin AB, 1980, Evaluation: in Education: An International Review Series, 4, 2
- Tenenbaum G, 1982, Dissertation Abstracts International, 43, 1822A
- WolfRMThe identification and measurement of home environmental process variables that are related to intelligence1964(Unpublished doctoral dissertation, University of Chicago)
- Wolf RM, 1966, Testing Problems in Perspective
Cited by
Sorted by citations
The role of deliberate practice in the acquisition of expert performance
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993) · Psychological Review · doi:10.1037/0033-295x.100.3.363 · Cited by 9,564
“Research in education reviewed by Bloom (1984) shows that when students are randomly assigned to instruction by a tutor or to conventional teaching, tutoring yields better performance by two standard deviations—the average tutored student performed at the 98th percentile of students taught with the…”
BackgroundHake, R. R. (1998) · American Journal of Physics · doi:10.1119/1.18809 · Cited by 6,072
Anderson, J. R., Boyle, C., & Reiser, B. (1985) · Science · doi:10.1126/science.228.4698.456 · Cited by 699
VanLEHN, K. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.611369 · Cited by 2,323
“A common belief among computer tutoring researchers is that human tutoring has an effect size of d = 2.0 relative to classroom teaching without tutoring (Bloom, 1984; Corbett, 2001; Evens & Michael, 2006; Graesser et al., 2001; VanLehn et al., 2007; Woolf, 2009).”
BackgroundMethodInfluentialSocial robots for education: a review.
Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., & Tanaka, F. (2018) · Science Robotics · doi:10.1126/scirobotics.aat5954 · Cited by 1,558
Formative assessment: a critical review
Bennett, R. E. (2011) · Assessment in Education: Principles, Policy & Practice · doi:10.1080/0969594x.2010.513678 · Cited by 1,498
“That claim comes from a summary article (Bloom 1984), based principally on (now quite dated) dissertations conducted by Bloom’s students.”
BackgroundEhri, L. C., Nunes, S. R., Willows, D. M., Schuster, B. V., Zadeh, Z. Y., & Shanahan, T. (2001) · Reading Research Quarterly · doi:10.1598/rrq.36.3.2 · Cited by 1,496
Wager, W. W. (1992) · Education and Urban Society · doi:10.1177/0013124592024004003 · Cited by 1,372
Interpreting effect sizes of education interventions
Kraft, M. A. (2020) · Educational Researcher · doi:10.3102/0013189x20912798 · Cited by 1,281
“The Bloom (1984) “2-sigma” effects on probability and cartography tests after a month of tutoring are 8 to 20 times larger than the effects on standardized math tests found in several recent studies of daily tutoring over an entire school year (Kraft, 2015; Cook et al.”
InfluentialWhat is assessment for learning
Wiliam, D. (2011) · Studies in Educational Evaluation · doi:10.1016/j.stueduc.2011.03.001 · Cited by 1,282
“…as the ‘‘gold standard’’ for education against which others should be compared (Bloom, 1984a)—but was concerned that this obviously would not be affordable for mass public education, hence ‘‘the search for methods of group instruction as effective as one-to-one tutoring’’ (Bloom, 1984b).”
BackgroundImproved Learning in a Large-Enrollment Physics Class
Deslauriers, L., Schelew, E., & Wieman, C. (2011) · Science · doi:10.1126/science.1201783 · Cited by 1,270
Cognitive Tutors: Lessons Learned
Anderson, J. R., Corbett, A. T., Koedinger, K. R., & Pelletier, R. (1995) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0402_2 · Cited by 1,982
“One solution is to report differences in achievement level measured in standard deviations (e.g., Bloom, 1984).”
BackgroundUsability Engineering: Scenario-Based Development of Human-Computer Interaction
Rosson, M. B., & Carroll, J. M. (2001) · Cited by 1,116
Effects of learning skills interventions on student learning: a meta-analysis.
Hattie, J., Biggs, J., & Purdie, N. (1996) · Review of Educational Research · doi:10.3102/00346543066002099 · Cited by 1,106
Intelligent Tutoring Goes To School in the Big City
Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (2018) · doi:10.1184/r1/6470153 · Cited by 1,105
State of the art and practice in AI in education
Holmes, W., & Tuomi, I. (2022) · European Journal of Education · doi:10.1111/ejed.12533 · Cited by 1,093
Leithwood, K. A., & Jantzi, D. (2000) · Journal of Educational Administration · doi:10.1108/09578230010320064 · Cited by 976
Baker, R. S. J. D., D'Mello, S. K., Rodrigo, M. M. T., & Graesser, A. C. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2009.12.003 · Cited by 936
“These learning gains are higher than those achieved by inexperienced human tutors (~0.4 SD, see Cohen, Kulik, & Kulik, 1982) but are not quite as good as learning gains achieved by expert human tutors (~2.0 SD, see Bloom, 1984).”
BackgroundInfluentialEffectiveness of Problem-based Learning Curricula: Research and Theory
Colliver, J. A. (2000) · Academic Medicine · doi:10.1097/00001888-200003000-00017 · Cited by 917
“Rather, the focus of the overview was on the effect sizes themselves, to see whether their magnitudes were consistent with what might be hoped for a major curriculum intervention such as PBL. Effect size measures.”
InfluentialEffectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review
Kulik, J. A., & Fletcher, J. D. (2016) · Review of Educational Research · doi:10.3102/0034654315581420 · Cited by 930
“, Carbonell, 1970; Fletcher, 1985; Sleeman & Brown, 1982). Grounded in artificial intelligence concepts and cognitive theory, these newer systems guided learners through each step of a problem solution by creating hints and feedback as needed from expert-knowledge databases. The first-generation computer tutors have b…”
BackgroundInfluentialAleven, V. A. W. M. M., & Koedinger, K. R. (2002) · Cognitive Science · doi:10.1207/s15516709cog2602_1 · Cited by 895
“The effect of accomplished tutors is unknown but researchers estimate that the effect size is about 2.0 standard deviations, compared to classroom instruction (Bloom, 1984; Kulik & Kulik, 1991).”
BackgroundInfluentialChi, M. T. H., Siler, S. A., Jeong, H., Yamauchi, T., & Hausmann, R. G. (2001) · Cognitive Science · doi:10.1207/s15516709cog2504_1 · Cited by 855
Explainable Artificial Intelligence in education
Khosravi, H., Shum, S. B., Chen, G., Conati, C., Tsai, Y.-S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S., & Gašević, D. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100074 · Cited by 863
Question Asking During Tutoring
Graesser, A. C., & Person, N. K. (1994) · American Educational Research Journal · doi:10.3102/00028312031001104 · Cited by 900
“The ''active inquiry" hypothesis provides one potential explanation of the finding that learning is superior in tutoring settings than in classroom environments (Bloom, 1984; Cohen et al., 1982).”
BackgroundIntelligent tutoring systems and learning outcomes: A meta-analysis
Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014) · Journal of Educational Psychology · doi:10.1037/a0037123 · Cited by 840
“Another notable contribution of VanLehn's review was that he reported an effect size of d ϭ 0.79 for human tutoring compared with no-treatment controls, a value much smaller than the frequently cited, twosigma effect sizes reported by Bloom (1984).”
ResultInfluentialThe Behavior of Tutoring Systems
VanLehn, K. A. (2006) · International Journal of Artificial Intelligence in Education · doi:10.3233/irg-2006-16(3)02 · Cited by 836
“(3) The outer loop implements a pedagogy called mastery learning (Bloom, 1984).”
BackgroundFoundations for a new science of learning
Meltzoff, A. N., Kuhl, P. K., Movellan, J., & Sejnowski, T. J. (2009) · Science · doi:10.1126/science.1175626 · Cited by 723
Increased Structure and Active Learning Reduce the Achievement Gap in Introductory Biology
Haak, D. C., HilleRisLambers, J., Pitre, E., & Freeman, S. (2011) · Science · doi:10.1126/science.1204820 · Cited by 959
Building Intelligent Interactive Tutors : student-centered strategies for revolutionizing e-learning
Woolf, B. P. (2009) · HAL · Cited by 716
Van der Kleij, F. M., Feskens, R. C. W., & Eggen, T. J. H. M. (2015) · Review of Educational Research · doi:10.3102/0034654314564881 · Cited by 714
“According to Bloom (1984), one-to-one tutoring is the most effective form of instruction.”
BackgroundInternational Handbook of Information Technology in Primary and Secondary Education
Voogt, J. M., & Knezek, G. (2008) · Springer eBooks · doi:10.1007/978-0-387-73315-9 · Cited by 719
Yeager, D. S., Romero, C., Paunesku, D., Hulleman, C. S., Schneider, B., Hinojosa, C., Lee, H. Y., O'Brien, J., Flint, K., Roberts, A., et al. (2016) · Journal of Educational Psychology · doi:10.1037/edu0000098 · Cited by 691
“Future interventions might do well to capitalize further on the wealth of knowledge of expert tutors, who constitute one of the most powerful educational interventions (Bloom, 1984).”
BackgroundEffects of Systematic Formative Evaluation: A Meta-Analysis
Fuchs, L. S., & Fuchs, D. (1986) · Exceptional Children · doi:10.1177/001440298605300301 · Cited by 669
Peer-Assisted Learning Strategies: Making Classrooms More Responsive to Diversity
Fuchs, D., Fuchs, L. S., Mathes, P. G., & Simmons, D. C. (1997) · American Educational Research Journal · doi:10.3102/00028312034001174 · Cited by 696
Exploring the Assistance Dilemma in Experiments with Cognitive Tutors
Koedinger, K. R., & Aleven, V. (2007) · Educational Psychology Review · doi:10.1007/s10648-007-9049-0 · Cited by 632
“Compared to a skilled human tutor, often thought to be the most effective form of instruction (Bloom 1984), Cognitive Tutors are close in their level of interactivity.”
BackgroundInfluentialHeffernan, N. T., & Heffernan, C. L. (2014) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-014-0024-x · Cited by 616
A Twelve-Year Longitudinal Study of Science Concept Learning
Novak, J. D., & Musonda, D. (1991) · American Educational Research Journal · doi:10.3102/00028312028001117 · Cited by 545
Cognitive modeling and intelligent tutoring
Anderson, J. R., Boyle, C. F., Corbett, A. T., & Lewis, M. W. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90093-f · Cited by 537
The Andes Physics Tutoring System: Lessons Learned
VanLehn, K. A., Lynch, C. F., Schulze, K. G., Shapiro, J. A., Shelby, R., Taylor, L., Treacy, D. J., Weinstein, A., & Wintersgill, M. C. (2005) · doi:10.5555/1434930.1434932 · Cited by 537
Collaborative dialogue patterns in naturalistic one‐to‐one tutoring
Graesser, A. C., Person, N. K., & Magliano, J. P. (1995) · Applied Cognitive Psychology · doi:10.1002/acp.2350090604 · Cited by 546
Intelligent tutoring systems: an overview
Nwana, H. (1990) · Artificial Intelligence Review · doi:10.1007/bf00168958 · Cited by 531
“Bloom (1984) in his comparison of private tutoring with classroom instruction of cartography and”
BackgroundMethodInfluentialTheory and practice of online learning
van Bruggen, J. (2004) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2005.00445_1.x · Cited by 479
“In Figure 6-1, HOTS are present by implication in two of the models, in references to improved reading and study skills (Bloom, 1984), and in the objective of communicating high expectations to learners (Moore, in Garrison, 1989).”
Effects of a Preschool Mathematics Curriculum: Summative Research on the Building Blocks Project
Clements, D. H., & Sarama, J. H. (2007) · Journal for Research in Mathematics Education · doi:10.2307/30034954 · Cited by 478
A review of recent advances in learner and skill modeling in intelligent learning environments
Desmarais, M. C., & Baker, R. S. (2011) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-011-9106-8 · Cited by 477
“When a pupil answers that the solution to 1 3 + 3 4 is 4”
BackgroundLongitudinal effects of classwide peer tutoring.
Greenwood, C. R., Delquadri, J. C., & Hall, R. V. (1989) · Journal of Educational Psychology · doi:10.1037/0022-0663.81.3.371 · Cited by 412
AutoTutor and affective autotutor
D’Mello, S. K., & Graesser, A. C. (2012) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2395123.2395128 · Cited by 440
“for mathematics in naturalistic contexts [Bloom 1984].”
BackgroundInfluentialAdvances in Intelligent Tutoring Systems
Nkambou, R., Mizoguchi, R., & Bourdeau, J. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-14363-2 · Cited by 388
AutoTutor: A simulation of a human tutor
Graesser, A. C., Wiemer-Hastings, K., Hastings, P., & Kreuz, R. J. (1999) · Cognitive Systems Research · doi:10.1016/s1389-0417(99)00005-4 · Cited by 394
“AutoTutor periodically gives positive controls and other suitable controls (Cohen et al., immediate feedback after the student contributions 1982; Bloom, 1984).”
BackgroundTurning “play” into “work” and “work” into “play”
Lepper, M. R., & Corpus, J. H. (2000) · Elsevier eBooks · doi:10.1016/b978-012619070-0/50032-5 · Cited by 381
Steenbergen-Hu, S., & Cooper, H. (2014) · Journal of Educational Psychology · doi:10.1037/a0034752 · Cited by 355
“Bloom (1984) reported that expert human tutors can help students achieve learning gains as large as two sigmas. Although not as effective as what Bloom (1984) found, a recent meta-review by VanLehn (2011) found that human tutoring had a positive impact of d .79 on students’ learning. Many ITS are designed to follow th…”
InfluentialArtificial Intelligence in Education
Holmes, W. (2019) · Encyclopedia of Education and Information Technologies · doi:10.1007/978-3-319-60013-0_107-1 · Cited by 336
Tutor learning: the role of explaining and responding to questions
Roscoe, R. D., & Michelene, T. H. (2007) · Instructional Science · doi:10.1007/s11251-007-9034-5 · Cited by 340
“Keywords: peer tutoring, tutor learning, tutorial dialogue, explanations, questions, metacognition, verbal data analysis Tutoring is one of the most effective educational interventions, with tutored students performing one to two standard deviations above non-tutored students (Bloom, 1984).”
BackgroundParadigm shifts and instructional technology : An introduction
Koschmann, T. D. (1996) · Medical Entomology and Zoology · Cited by 331
Factors that Influence Participation In Online Learning
Vonderwell, S., & Zachariah, S. (2005) · Journal of Research on Technology in Education · doi:10.1080/15391523.2005.10782457 · Cited by 331
“Learner participation is an essential element for active and engaged learning (Bloom, 1984; Chickering & Gamson, 1987; Fleming, 1987).”
BackgroundColchester, K., Hagras, H., Alghazzawi, D., & Aldabbagh, G. A. (2016) · Journal of Artificial Intelligence and Soft Computing Research · doi:10.1515/jaiscr-2017-0004 · Cited by 379
“Studies have shown that, in contrast to group education, one-to-one teaching is more likely to generate a higher student learning performance [3], [4], [5].”
ResultMalleability, plasticity, and individuality: How children learn and develop in context1
Cantor, P., Osher, D., Berg, J., Steyer, L., & Rose, T. (2019) · Applied Developmental Science · doi:10.1080/10888691.2017.1398649 · Cited by 328
“In turn, Bloom’s two sigma finding (Bloom, 1984) provides a compelling illustration of what is possible if we use the principles of developmental variability, individuality, and integration to “design” contexts in which individual children can thrive as learners.”
BackgroundInfluentialWhy They Leave: Understanding Student Attrition from Engineering Majors
Geisinger, B., & Raman, D. R. (2013) · Iowa State University Digital Repository (Iowa State University) · Cited by 323
A Social-Cognitive Framework for Pedagogical Agents as Learning Companions
Kim, Y. A., & Baylor, A. L. (2006) · Educational Technology Research and Development · doi:10.1007/s11423-006-0637-3 · Cited by 319
“The ideal form of instructioncould well be human tutoring (Bloom, 1984), where a learner can benefit from individualized cognitive guidance through dynamic social interaction .”
BackgroundElbaum, B., Vaughn, S., Tejero Hughes, M., & Watson Moody, S. (2000) · Journal of Educational Psychology · doi:10.1037/0022-0663.92.4.605 · Cited by 564
Vygotsky, Tutoring and Learning
Wood, D., & Wood, H. (1996) · Oxford Review of Education · doi:10.1080/0305498960220101 · Cited by 307
Effective Tutoring Techniques: A Comparison of Human Tutors and Intelligent Tutoring Systems
Merrill, D. C., Reiser, B. J., Ranney, M., & Trafton, J. G. (1992) · Journal of the Learning Sciences · doi:10.1207/s15327809jls0203_2 · Cited by 298
“(Bloom, 1984; Cohen et al., 1982; Lepper, Aspinwall, Mumme, & Chabay, 1990), supporting a common intuition that when a student has difficulties, the best course of action is to provide the student with one-on-one instruction.”
BackgroundPillars of online pedagogy: A framework for teaching in online learning environments
Archambault, L., Leary, H., & Rice, K. (2022) · Educational Psychologist · doi:10.1080/00461520.2022.2051513 · Cited by 389
“Mastery learning enables students to progress in their learning at their own pace, only advancing once prerequisite skills have been mastered (Bloom, 1984; VanLehn, 2011).”
BackgroundUse of Web 2.0 technologies in K-12 and higher education: The search for evidence-based practice
Hew, K. F., & Cheung, W. S. (2012) · Educational Research Review · doi:10.1016/j.edurev.2012.08.001 · Cited by 307
“Colliver (2000) used this fact as well as the argument by Bloom (1984) to suggest that effect sizes should be at least 0.8 before they could be deemed significant.”
MethodInfluentialDeeva, G., Bogdanova, D., Serral, E., Snoeck, M., & Weerdt, J. D. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.104094 · Cited by 292
Networked Learning: Perspectives and Issues
Steeples, C., & Jones, C. (2002) · Computer supported cooperative work · doi:10.1007/978-1-4471-0181-9 · Cited by 289
AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring
Nye, B. D., Graesser, A. C., & Hu, X. (2014) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-014-0029-5 · Cited by 326
“One grand challenge for education is to scale up the benefits of expert human tutoring for millions of students individually (Bloom 1984).”
BackgroundEfficiency and Innovation in Transfer
Schwartz, D. L., Bransford, J. D., & Sears, D. (2000) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-60752-673-520251002 · Cited by 289
Koedinger, K. R., & Corbett, A. T. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833.006 · Cited by 384
Michelene, T. H., Roy, M., & Hausmann, R. G. M. (2008) · Cognitive Science · doi:10.1080/03640210701863396 · Cited by 300
“…a traditional classroom, learning from face-to-face human tutoring is extremely beneficial and has the largest effect size, ranging from 0.4 to 2.0 (Bloom, 1984; Cohen, Kulik, & Kulik, 1982), followed by learning from collaborating with a peer, with a substantially smaller effect size, ranging…”
InfluentialDesigning Systems That Train Learning Ability: From Theory to Practice
Derry, S. J., & Murphy, D. A. (1986) · Review of Educational Research · doi:10.3102/00346543056001001 · Cited by 310
“To illustrate this point, Gagne (personal communication, 1984) is fond of pointing out that children learn to formulate acceptable sentences without being able to state the rules of grammar.”
BackgroundInfluentialWP 4 - GUIDELINES FOR LEARNING/TEACHING/TUTORING IN A MOBILE ENVIRONMENT
O’Malley, C. L., Vavoula, G., Glew, J., Taylor, J., Sharples, M., Lefrère, P., Lonsdale, P., Naismith, L. M., & Waycott, J. (2003) · Cited by 277
Individual Differences In Human-Computer Interaction
Egan, D. E. (1988) · Elsevier eBooks · doi:10.1016/b978-0-444-70536-5.50029-4 · Cited by 275
MOOCs: So Many Learners, So Much Potential ...
Kay, J., Reimann, P., Diebold, E., & Kummerfeld, B. (2013) · IEEE Intelligent Systems · doi:10.1109/mis.2013.66 · Cited by 273
“The rhetoric about MOOCs refers to personalised learning, with reference to Bloom’s classic 2-Sigma paper about one-to-one tutoring [23].”
BackgroundDeveloping Personalized Education: A Dynamic Framework
Tetzlaff, L., Schmiedek, F., & Brod, G. (2020) · Educational Psychology Review · doi:10.1007/s10648-020-09570-w · Cited by 321
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BackgroundRedefining the learning companion: the past, present, and future of educational agents
Chou, C., Chan, T.-W., & Lin, C.-J. (2003) · Computers & Education · doi:10.1016/s0360-1315(02)00130-6 · Cited by 270
“In fact, private tutoring has been shown to be four times as effective as classroom teaching, according to a study conducted by Bloom (1984). Unlike a computer treated as a provider of content (mostly text at that time) to students, or as a learning tool or toy, a computer that models a tutor must mimic tutoring inter…”
Anderson, J. R., Boyle, C. F., & Yost, G. R. (1985) · International Joint Conference on Artificial Intelligence · Cited by 270
Generative AI for Customizable Learning Experiences
Pesovski, I., Santos, R., Henriques, R., & Trajkovik, V. (2024) · Sustainability · doi:10.3390/su16073034 · Cited by 274
“While the positive relationship between personalization and student performance is well established [15], its implementation in the classroom has not fully realized this potential.”
BackgroundThe Real Story Behind Story Problems: Effects of Representations on Quantitative Reasoning
Koedinger, K. R., & Nathan, M. J. (2004) · Journal of the Learning Sciences · doi:10.1207/s15327809jls1302_1 · Cited by 431
“Because equation solving is so hard for students to learn and because it is important, a second instructional strategy worth considering is a mastery-based approach (Bloom, 1984) that focuses on equation-solving instruction in isolation.”
BackgroundA Framework for Evaluating the Quality of Multimedia Learning Resources
Leacock, T. L., & Nesbit, J. C. (2007) · Cited by 267
Bodovski, K., & Farkas, G. (2007) · The Elementary School Journal · doi:10.1086/525550 · Cited by 264
“In contrast, our findings contradict studies showing that higher beginning achievement is associated with lower learning rates (Bloom, 1976, 1984; Brown & Saks, 1986; Phillips et al., 2002).”
BackgroundResultWhat Makes Literacy Tutoring Effective?
Juel, C. L. (1996) · Reading Research Quarterly · doi:10.1598/rrq.31.3.3 · Cited by 263
The Effects of Adjunct Questions on Prose Learning
Hamaker, C. (1986) · Review of Educational Research · doi:10.3102/00346543056002212 · Cited by 261
“16 in this review represents a one-sigma effect on Bloom's (1984) scale, and corresponds to an effect size of 1.”
BackgroundChen, H., Park, H. W., & Breazeal, C. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103836 · Cited by 291
The Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates
Holmes, W., & Porayska-Pomsta, K. (2022) · doi:10.4324/9780429329067 · Cited by 258
“This approach is deeply ingrained in traditional educational practices focused on school-based subject-domain teaching, which was further boosted by Bloom’s influential “2-sigma effect” studies (Bloom, 1984).”
Kennedy, J., Baxter, P. E., & Belpaeme, T. (2015) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/2696454.2696457 · Cited by 256
“Categories and Subject Descriptors H.1.2 [Models and Principles]: User/Machine Systems Keywords Robot Tutor; Social HRI; Child-Robot Interaction; Social Behaviour”
BackgroundInfluentialApplications of AI in education
Beck, J. E., Stern, M. K., & Haugsjaa, E. (1996) · XRDS Crossroads The ACM Magazine for Students · doi:10.1145/332148.332153 · Cited by 254
Albanese, M. (2000) · Medical Education · doi:10.1046/j.1365-2923.2000.00753.x · Cited by 418
Longitudinal Analysis of Time, Engagement, and Achievement in At-Risk versus Non-Risk Students
Greenwood, C. R. (1991) · Exceptional Children · doi:10.1177/001440299105700606 · Cited by 248
Vandewaetere, M., Desmet, P., & Clarebout, G. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.07.038 · Cited by 274
“One-to-one human tutoring, compared to traditional classroom instruction, makes learning performance to increase with two standard deviations (Bloom, 1984).”
BackgroundThe Research to Practice Gap in Special Education
Greenwood, C. R., & Abbott, M. (2001) · Teacher Education and Special Education The Journal of the Teacher Education Division of the Council for Exceptional Children · doi:10.1177/088840640102400403 · Cited by 250
“Bloom (1984) reported that one-on-one peer tutoring compared to conventional group instruction produced effect sizes as large as 2.0.”
BackgroundInfluentialSlavin, R. E. (1987) · Review of Educational Research · doi:10.3102/00346543057002175 · Cited by 248
Closing Achievement Gaps: Revisiting Benjamin S. Bloom's “Learning for Mastery”
Guskey, T. R. (2007) · Journal of Advanced Academics · doi:10.4219/jaa-2007-704 · Cited by 242
“(Bloom, 1984a, p. 4) Bloom (1984a) referred to this as the “2 Sigma Problem”: The tutoring process demonstrates that most students do have the potential to reach this high level of learning.”
BackgroundCognitive Computer Tutors: Solving the Two-Sigma Problem
Corbett, A. T. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44566-8_14 · Cited by 241
Cur r iculum Resear ch : Tow ar d a Fr amew or k for "Resear ch -based Cur r icula"
Clements, D. H. (2007) · Journal for Research in Mathematics Education · doi:10.2307/30034927 · Cited by 243
Linn, M. C. (1995) · Journal of Science Education and Technology · doi:10.1007/bf02214052 · Cited by 240
“Tutoring, as emphasized in the spatial reasoning environment, has been hailed by many as the most effective way to provide the guidance and explicit problem solving processes necessary for effective learning (Bloom, 1984).”
BackgroundSteenbergen-Hu, S., & Cooper, H. (2013) · Journal of Educational Psychology · doi:10.1037/a0032447 · Cited by 175
“Although not as effective as what Bloom (1984) found, a recent meta-review by VanLehn (2011) found that human tutoring had a positive impact of d 0.79 on students’ learning.”
InfluentialAdaptive Gamification for Learning Environments
Lavoué, É., Monterrat, B., Desmarais, M. C., & George, S. (2018) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2018.2823710 · Cited by 236
Corbett, A. T., Koedinger, K. R., & Anderson, J. R. (1997) · Elsevier eBooks · doi:10.1016/b978-044481862-1.50103-5 · Cited by 244
The automated tutoring of introductory computer programming
Anderson, J. R., & Skwarecki, E. J. (1986) · Communications of the ACM · doi:10.1145/6592.6593 · Cited by 225
The End of Techno-Critique: The Naked Truth about 1:1 Laptop Initiatives and Educational Change
Weston, M. E., & Bain, A. (2010) · The Journal of Technology, Learning and Assessment (Boston College) · Cited by 228
Metadata
- Authors
- BLOOM, B. S.
- Affiliations
- Northwestern University (US)
- Corresponding author
- BLOOM, BENJAMIN S.
- Venue
- Educational Researcher
- Published
- 1984-06
- Volume
- 13
- Issue
- 6
- Pages
- 4-16
- ISSN
- 0013-189X (ISSN-L)
- 1935-102X
- OpenAlex
- W2172010324
- Cited by
- 2,734
- References
- 25
- Citations by year
- 2026: 195 · 2025: 144 · 2024: 131 · 2023: 99 · 2022: 103 · 2021: 84 · 2020: 129 · 2019: 88 · 2018: 122 · 2017: 79 · 2016: 97 · 2015: 119 · 2014: 112 · 2013: 107 · 2012: 103
- FWCI
- 39.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Educational Researcher (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
- Keywords
- group instruction, one-on-one tutoring, learning mastery, conventional instruction, corrective procedures, academic performance, tutoring effectiveness
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