The DOI matches its Crossref record; 66 of the 73 references it cites were found in a registry or an index.
Inquiry, Modeling, and Metacognition: Making Science Accessible to All Students
Abstract
Our objective has been to develop an instructional theory and corresponding curricular materials that make scientific inquiry accessible to a wide range of students, including younger and lower achieving students. We hypothesized that this could be achieved by recognizing the importance of metacognition and creating an instructional approach that develops students' metacognitive knowledge and skills through a process of scaffolded inquiry, reflection, and generalization. Toward this end, we collaborated with teachers to create a computer enhanced, middle school science curriculum that engages students in learning about and reflecting on the processes of scientific inquiry as they construct increasingly complex models of force and motion phenomena. The resulting ThinkerTools Inquiry Curriculum centers around a metacognitive model of research, called the Inquiry Cycle, and a metacognitive process, called Reflective Assessment, in which students reflect on their own and each other's inquiry. In this article, we report on instructional trials of the curriculum by teachers in urban classrooms, including a controlled comparison to determine the impact of including or not including the Reflective Assessment Process. Overall, the curriculum proved successful and students' performance improved significantly on both physics and inquiry assessments. The controlled comparison revealed that students' learning was greatly facilitated by Reflective Assessment. Furthermore, adding this metac…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Based on our initial analysis of several articles (Bybee et al., 2006;Justice et al., 2002;White & Frederiksen, 1998) we found that different descriptions of inquiry cycles in the research literature originating from different researchers use various terminologies to label phases that are essentially the same.”
From Phases of inquiry-based learning: Definitions and the inquiry cycle (2015) · cites this paper as White & Frederiksen, 1998
In the citing paper
“However, different variations on what is called the inquiry cycle can be found throughout the literature.”
From Phases of inquiry-based learning: Definitions and the inquiry cycle (2015) · cites this paper as White & Frederiksen, 1998
Citations
Cites
Situated Learning: Legitimate Peripheral Participation
Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 35,324
Knowledge and teaching: Foundations of the new reform
Shulman, L. (1987) · Harvard Educational Review · doi:10.17763/haer.57.1.j463w79r56455411 · Cited by 16,787
Situated Cognition and the Culture of Learning
Brown, J. S., Collins, A., & Duguid, P. (1989) · Educational Researcher · doi:10.3102/0013189x018001032 · Cited by 13,645
Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry
Flavell, J. H. (1979) · American Psychologist · doi:10.1037/0003-066x.34.10.906 · Cited by 11,282
Reciprocal Teaching of Comprehension-Fostering and Comprehension-Monitoring Activities
Palinscar, A. S., & Brown, A. L. (1984) · Cognition and Instruction · doi:10.1207/s1532690xci0102_1 · Cited by 5,186
Cognition in Practice: Mind, Mathematics and Culture in Everyday Life
Lave, J. (1988) · doi:10.1017/cbo9780511609268 · Cited by 5,148
Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics
Collins, A., Brown, J. S., & Newman, S. E. (2018) · Knowing, Learning, and Instruction · doi:10.4324/9781315044408-14 · Cited by 3,674
Constructing Scientific Knowledge in the Classroom
Driver, R., Asoko, H., Leach, J., Scott, P., & Mortimer, E. (1994) · Educational Researcher · doi:10.3102/0013189x023007005 · Cited by 2,016
Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems
Chi, M. T. H., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989) · Cognitive Science · doi:10.1207/s15516709cog1302_1 · Cited by 1,714
Chinn, C. A., & Brewer, W. F. (1993) · Review of Educational Research · doi:10.3102/00346543063001001 · Cited by 1,393
Research works printed but not linked: 39
- Brown, A., Bransford, J., Ferrara, R. & Campione, J. (1983). Learning, remembering, and understanding. In J. H. Flavell &E. M. Markman (Eds.), Handbookof childpsychology: Vol. 3. Cognitive development (4th ed., pp. 77-166). New York: Wiley.
- Bmer, J. (1993). ScPlools for thought: A science of learning in the classroom. Cambridge, MA: MIT Press.
- Campione, J. C. (1987). Metacognitive components of instructional research with problem learners. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 117-140). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- Carey, S. (1985). Are children fundamentally different kinds of thinkers and learners than adults? In S. Chipman, J. Segal, & R. Glaser (Eds.), Thinking and learning skills: Vol. 2. Reasearch and open questions (pp. 485-517). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- Chalmers, A. (1990). Science and its,fabrication. Minneapolis: University of Minnesota Press.
- Collins A., 1994, Educational Technology, 34, S32
- 10.1016/S0364-0213(82)80005-0 · DOI
- diSessa A, 1991, Journal of Mathematical Behavior, 10, 117
- 10.1037//0012-1649.14.3.268 · DOI
- Feuerstein, R., Jensen, M., Hoffman, M. &Rand, Y. (1985). Instrumental enrichment, an intervention program for structural cognitive modifiability: Theory and practice. In J. Segal, S. Chipman, & R. Glaser (Eds.), Thinking and learning skills: Vol. I. Relating instruction to research @p. 43-82). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- 10.1037//0003-066X.34.10.906 · DOI · Paper page
- Frederiksen J., 1994, The Educator, 8, 2
- Gentner, D. &Stevens, A. (Eds.). (1983). Mental models. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc .
- Giere, R. (1991). Understanding scient@c reasoning (3rd ed.). Fort Worth, TX: Harcourt Brace Jovanovich.
- Ciunstone, R. (1990). Restructuring theory from practical experience. In B. Woolnough (Ed.), Practical science. Milton Keynes, England: Open University Press.
- Harms, N. & Yager, R. (Eds.). (1980). What research says to the science teacher (Vol. 3). Washington, DC: National Science Teachers Association (ERICDocument Reproduction Service No. ED205 367)
- Horwitz, P. (1989). Interactive simulations and their implications for science teaching. In The 1988 AETS Yearbook (pp. 59-70). Auburn, AL: Association for the Education of Teachers in Science.
- Kuhn T., 1964, Melanges Alexandre Koyre (Vol., 2, 307
- Kuhn, T. (1970). The structureif scientllfic revolutions (2nd ed.). Chicago: University of Chicago Press.
- Linn M., 1993, Merrill-Palmer Quarterly, 39, 47
- McCloskey, M. (1983). Naive theories of motion. In D. Gentner & A. L. Stevens (Eds.), Mental models @p. 299-324). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- Metz K., 1995, Educational Researcher, 65, 93
- Miller M., 1991, Journal for the Education of the Gifed, 14, 178
- Minstrell, J. (1982). Conceptual development research in the natural setting of the classroom. In M. Budd Rowe (Ed.), Education in the 8O'sScience (pp. 129-143). Washington, DC: National Education Association.
- Minstrell, J. (1989). Teaching science for understanding. In L. Resnick & L. Klopfer (Eds.), Toward the thinking curriculum: Current cognitive research. Yearbook of the Association for Supervision and Curriculum Development (pp. 129-149). Alexandria, VA: Association for Supervision and Curriculum Development.
- IVersessian, N. (1992). How do scientists think? Capturingthe dynamics of conceptual change in science. In R. Giere (Ed.), Cognitive models of science (pp. 3-44). Minneapolis: University of Minnesota Press.
- Aikenhead G., 1992, Science Education, 76, 559, 10.1002/sce.3730760503 · DOI
- Scardarnalia, M., Bereiter, C. & Lamon, M. (1994). The CSlLE Project: Trying to bring the classroom into World 3. In K. McGilly (Ed.), Classroom lessons: Integrating cognitive theory and clmsroom practice (pp. 201-228). Cambridge, MA: MIT PressBradford Books.
- Schoenfeld, A. (1987). What's all the fuss about metacognition? In A. H. Schoenfeld (Ed.), Cognitive science and mathematics education (pp. 189-215). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
- Schomer M., 1993, Journal of Experimental Psychology, 85, 406
- Shute, V., Glaser, R. & Raghavan, K. (1989). Inference and discovery in an exploration laboratory. In P. Ackerrnan, R. Stemberg, & R. Glaser (Eds.), Learning and individual dzferences: Advances in theory and research (pp. 279-326). New York: Freeman.
- Smith, R. (1986). The Alternative Reality Kit: An animated environment for creating interactive simulations. In Proceedings of the I986 IEEE Computer Society Workshop on Visual Languages (pp. 99-106). Washington, DC: IEEE Computer Society Press.
- Sorensen, R. (1992). Thought experiments. Oxford, England: Oxford University Press.
- Tinker, R. (1993). Modelling and theory building: Technology in support of students' theorizing. In D. Ferguson (Ed.), Advanced educational technologies for mathematics and science (pp. 91-1 13). Berlin, Germany: Springer.
- Vygotsky, L. (1978). Mind in society: The development of higher psychologicalprocesses (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds. and Trans.). Cambridge, England: Cambridge University Press.
- Wellman, H. (1984). A child's theory of mind: The development of conceptions of cognition. In S. R. Yussen (Ed.), The growth of reflection in children (pp. 69-206). New York: Academic.
- White, B. (1981). Designing computer games to ,facilitate learning (Tech. Rep. No. AI-TR-619). Cambridge: Massachusetts Institute of Technology, Artificial Intelligence Laboratory.
- White B., 1994, The Educator, 8, 18
- White, B. & Honvitz, P. (1988). Computer microworlds and conceptual change: A new approach to science education. In P. Ramsden (Ed.), Improving learning: Newperspectives (pp. 69-80). London: Kogan Page.
Cited by
Sorted by citations
Items 401–500 of 997
Chen, F., & Chen, G. (2024) · Science & Education · doi:10.1007/s11191-024-00538-8 · Cited by 106
“For instance, White and Frederiksen (1998) outlined the inquiry cycle into six stages: research question, hypothesis generation, scientific investigation, synthesis analysis, modeling, and evaluation.”
Jacobson, M. J., Kim, B., Pathak, S. A., & Zhang, B. (2013) · Interactive Learning Environments · doi:10.1080/10494820.2013.792845 · Cited by 42
Scaffolding argumentation about water quality: a mixed-method study in a rural middle school
Belland, B. R., Gu, J., Armbrust, S., & Cook, B. (2015) · Educational Technology Research and Development · doi:10.1007/s11423-015-9373-x · Cited by 50
“The influence of scaffolding strategies (e.g., promoting students’ discussion of problems and evaluation of such) can vary by achievement level (Cuevas et al. 2002; Rivard 2004; So et al. 2010; White and Frederiksen 1998) and socio-economic status (Cuevas et al. 2005; Lynch et al. 2005).”
BackgroundResultWilliams, M., DeBarger, A. H., Montgomery, B. L., Zhou, X., & Tate, E. D. (2011) · Science Education · doi:10.1002/sce.20465 · Cited by 42
“Clough and Wood-Robinson’s (1985) research shows that many students had nonnormative ideas about parental gene contributions to their offspring. In particular, they found that there was a common belief that the maternal contribution was greater than the paternal contribution, or that the maternal contribution was the…”
BackgroundResultHandheld tools that ‘Informate’ assessment of student learning in Science: a requirements analysis
Roschelle, J., Penuel, W. R., Yarnall, L., Shechtman, N., & Tatar, D. G. (2005) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2005.00127.x · Cited by 42
Engaging Elementary Students in Scientific Modeling: The MoDeLS Fifth-Grade Approach and Findings
Baek, H., Schwarz, C. V., Chen, J., Hokayem, H., & Zhan, L. (2011) · Springer eBooks · doi:10.1007/978-94-007-0449-7_9 · Cited by 49
Tao, P.-K. (2004) · International Journal of Science Education · doi:10.1080/0950069032000138879 · Cited by 43
“In the past few years, there have been studies that adopted such an approach (for example, McRobbie and Thomas 2000, Reiner et al. 1995, Roth et al. 1996, Tao and Gunstone 1999, White and Frederiksen 1998), but such studies are few in number.”
BackgroundHigh-School Students' Regulation of Learning During Computer-Based Science Inquiry
Winters, F. I., & Azevedo, R. (2005) · Journal of Educational Computing Research · doi:10.2190/f7hm-9jn5-jux8-4bm9 · Cited by 42
“The classroom context is complex and if students use a CBLE, they often work in collaborative groups or pairs while learning (e.g., Hoffman, Wu, Krajcik, & Soloway, 2003; Linn & Eylon, 2000; White & Frederiksen, 1998).”
BackgroundFischer, F., Kollar, I., Ufer, S., Sodian, B., Hussmann, H., Pekrun, R., Neuhaus, B., Dorner, B., Pankofer, S., Fischer, M., et al. (2014) · Frontline Learning Research · doi:10.14786/flr.v2i3.96 · Cited by 42
Designing mathematics classes to promote equity and engagement
Boaler, J. (2016) · The Journal of Mathematical Behavior · doi:10.1016/j.jmathb.2015.01.002 · Cited by 41
“This was demonstrated by a science intervention studied by White and Frederiksen (1998).”
MethodGleasman, C., & Kim, C. (2020) · Digital Experiences in Mathematics Education · doi:10.1007/s40751-019-00056-1 · Cited by 51
Louca, L. Τ., & Zacharia, Z. C. (2007) · International Journal of Science Education · doi:10.1080/09500690601188620 · Cited by 41
“…and refinement of models (Constantinou, 1996), and therefore learning science should include developing understanding about natural phenomena by constructing models, as well as learning the process of developing and refining those models (National Research Council, 1990; White & Frederiksen, 1998).”
BackgroundMethodMaking Mathematical Practices Explicit in Urban Middle and High School Mathematics Classrooms
Selling, S. K. (2016) · Journal for Research in Mathematics Education · doi:10.5951/jresematheduc.47.5.0505 · Cited by 41
Wei, L., Liu, C., & Tseng, J. C. R. (2023) · Education and Information Technologies · doi:10.1007/s10639-023-11671-2 · Cited by 49
“Researchers believe that explicit handling of metacognitive knowledge in teaching is more important for low-achieving students than high-achieving students (White & Frederiksen, 1998).”
Background21st Century Dynamic Assessment
Quellmalz, E. S., Timms, M. J., Buckley, B. C., Davenport, J. L., Loveland, M. T., & Silberglitt, M. D. (2012) · Emerald Group Publishing Limited eBooks · doi:10.1108/book-978-1-61735-634-620251004 · Cited by 40
Knowledge surveys: Students ability to self-assess
Clauss, J. M., & Geedey, C. K. (2010) · Indiana Magazine of History (Indiana University) · Cited by 39
Schwarz, C. V., Reiser, B. J., Acher, A., Kenyon, L. O., & Fortus, D. (2012) · SensePublishers eBooks · doi:10.1007/978-94-6091-824-7_6 · Cited by 62
Enhancing Inquiry, Understanding, and Achievement in an Astronomy Multimedia Learning Environment
Taasoobshirazi, G., Zuiker, S. J., Anderson, K. T., & Hickey, D. T. (2006) · Journal of Science Education and Technology · doi:10.1007/s10956-006-9028-0 · Cited by 39
“have adequate background knowledge to engage in valuable inquiry (White and Fredericksen, 1998).”
BackgroundDevelopments in Inquiry Learning
van Joolingen, W., & Zacharia, Z. C. (2009) · Springer eBooks · doi:10.1007/978-1-4020-9827-7_2 · Cited by 41
Application of the cognitive apprenticeship framework to a middle school robotics camp
Larkins, D. B., Moore, J. C., Rubbo, L. J., & Covington, L. R. (2013) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/2445196.2445226 · Cited by 39
“Research has shown that explicit instruction is necessary to successfully develop reasoning skills for all age levels [6, 11].”
BackgroundThe Knowledge Integration Perspective: Connections Across Research and Education
Murphy, P. K., & Alexander, P. A. (2013) · Routledge eBooks · doi:10.4324/9780203154472-38 · Cited by 39
Current Trends in Educational Technology Research
Mihalca, L., & Miclea, M. (2007) · Cognitie, Creier, Comportament · Cited by 35
Lyon, E. G. (2011) · Journal of Science Teacher Education · doi:10.1007/s10972-011-9241-4 · Cited by 38
“Reform efforts and increased attention to constructivist and sociocultural views of learning science (Driver et al. 1994) have resulted in substantial research and innovations in teaching inquiry skills (e.g., White and Frederiksen 1998 ), culturally responsive science teaching (e.g., Luykx”
BackgroundLearning to represent, representing to learn
Selling, S. K. (2015) · The Journal of Mathematical Behavior · doi:10.1016/j.jmathb.2015.10.003 · Cited by 38
Particle in a Box: An Experiential Environment for Learning Introductory Quantum Mechanics
Anupam, A., Gupta, R., Naeemi, A., & JafariNaimi, N. (2017) · IEEE Transactions on Education · doi:10.1109/te.2017.2727442 · Cited by 38
“quantum system, a conceptual understanding must not be overlooked [14], [15].”
BackgroundFacilitating Meta‐learning in Art and Design Education
Winters, T. M. (2011) · International Journal of Art & Design Education · doi:10.1111/j.1476-8070.2011.01685.x · Cited by 38
Prelock, P. (2000) · Language Speech and Hearing Services in Schools · doi:10.1044/0161-1461.3103.213 · Cited by 38
The Nature of Scientific Meta-Knowledge
White, B. Y., Collins, A., & Frederiksen, J. R. (2011) · Springer eBooks · doi:10.1007/978-94-007-0449-7_3 · Cited by 38
“Nonetheless, for pedagogical purposes, presenting students with an inquiry cycle, in which one starts with theorizing and questioning, is an effective initial model that can enable students to develop capabilities for inquiry, as well as an understanding of its constituent processes (Frederiksen, White, Li, Herrenkohl…”
BackgroundSelf-citationThe Role of Educative Curriculum Materials in Reforming Science Education.
Schneider, R. M., & Krajcik, J. S. (1999) · Cited by 37
Effects of commercial video games on cognitive elaboration of physical concepts
Sun, C., Ye, S.-H., & Wang, Y.-J. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.05.002 · Cited by 36
“Because of these characteristics, computer simulation games are thought to have the potential to help students discover additional information about basic concepts (White, 1993; White & Frederiksen, 1998).”
BackgroundChinn, C. A., & Buckland, L. A. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199730421.003.0010 · Cited by 36
Fick, S. J. (2017) · Science Education · doi:10.1002/sce.21313 · Cited by 35
Fraser, D. M. (2017) · British Journal of Educational Psychology · doi:10.1111/bjep.12208 · Cited by 53
“…to be carefully considered when promoting growth mindsets in schools including praise (Mueller & Dweck, 1998); mistakes (Boaler, 2015; Nussbaum & Dweck, 2008); grit (Duckworth, Peterson, Matthews, & Kelly, 2007); feedback (Hattie & Timperley, 2007); and goal setting (White & Frederiksen, 1998).”
BackgroundFan, X., Geelan, D., & Gillies, R. M. (2018) · Education Sciences · doi:10.3390/educsci8010029 · Cited by 43
“[53], and included starting inquiry experiments, conducting inquiry experiments, cooperation, and communication during inquiry experiments, and evaluating inquiry experiments.”
BackgroundScalise, K., & Clarke‐Midura, J. (2018) · Journal of Research in Science Teaching · doi:10.1002/tea.21464 · Cited by 36
THE SCIENTIFIC CREATIVITY OF FIFTH GRADERS IN A STEM PROJECT-BASED COOPERATIVE LEARNING APPROACH
Siew, N. M., & Ambo, N. (2020) · Problems of Education in the 21st Century · doi:10.33225/pec/20.78.627 · Cited by 36
“In solving ill-structured problems, students were required to apply their domain knowledge in a meaningful way (White & Frederiksen, 1998).”
BackgroundSonger, N. B. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816833.022 · Cited by 36
FOCUS ARTICLE: The Foundations of Assessment
Pellegrino, J. W., & Chudowsky, N. (2003) · Measurement Interdisciplinary Research and Perspectives · doi:10.1207/s15366359mea0102_01 · Cited by 36
“Selected yet powerful examples of such models currently exist and they demonstrate how cognitive theory can be applied to issues of curriculum, instruction, and assessment (e.g., Hunt & Minstrell, 1996; White & Frederiksen, 1998).”
BackgroundTransforming Students' Inquiry Skills with Computer-Based Simulations
Mäeots, M., Pedaste, M., & Sarapuu, T. (2008) · 2008 Eighth IEEE International Conference on Advanced Learning Technologies · doi:10.1109/icalt.2008.239 · Cited by 36
“Resulting from this, inquiry learning consists of processes that comprise formulating hypothesis, gathering data and interpreting it, and making conclusions [4, 5, 6 ].”
MethodMoreira, J. A., Ferreira, A. G., & Almeida, A. C. (2013) · Open Praxis · doi:10.5944/openpraxis.5.2.50 · Cited by 35
“At the same time, they are learning to be teachers following a model (White & Frederiksen, 1998) to implement and guide the teaching procedures with an online component.”
BackgroundSupporting Inquiry Processes with an Interactive Learning Environment: Inquiry Island
Eslinger, E., White, B. Y., Frederiksen, J. R., & Brobst, J. A. (2008) · Journal of Science Education and Technology · doi:10.1007/s10956-008-9130-6 · Cited by 38
“In previous research (White 1993; White and Frederiksen 1998), we developed the Inquiry Cycle as a general model of the inquiry process.”
BackgroundMethodInfluentialSelf-citationMagana, A. J., Fennell, H. W., Vieira, C., & Falk, M. L. (2019) · Journal of Engineering Education · doi:10.1002/jee.20264 · Cited by 35
“For instance, White and Frederiksen (1998) proposed an instructional approach that aims to develop students' metacognitive knowledge and skills through a process of inquiry and reflection.”
BackgroundMeasuring Problem Solving with Technology: A Demonstration Study for NAEP.
Bennett, R. E., Persky, H., Weiss, A., & Jenkins, F. J. (2010) · Open Access Journals at BC (Boston College) · Cited by 35
Multimedia Learning: GuidingVisuospatial Thinking with Instructional Animation
Mayer, R. E. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511610448.013 · Cited by 36
Dalbotten, D., Ito, E., Myrbo, A. E., Pellerin, H., Greensky, L., Howes, T., Wold, A., Breckenridge, R. B., Drake, C., Bucar, L., et al. (2014) · Journal of Geoscience Education · doi:10.5408/12-408.1 · Cited by 35
Schuster, D., Cobern, W. W., Adams, B. A., Undreiu, A., & Pleasants, B. A.-S. (2017) · Research in Science Education · doi:10.1007/s11165-016-9573-3 · Cited by 43
“…in improving content learning, science process skills, and student attitudes (e.g., Kanter and Konstantopoulos 2010; Marbach-Ad and Claassen 2001; Marx et al. 2004; Secker 2002; Secker and Lissitz 1999; Timmerman et al. 2008; Tretter and Jones 2003; Udovic et al. 2002; White and Frederickson 1998).”
BackgroundInfluentialAn Instructional Model Derived from Model Construction and Criticism Theory
Rea-Ramirez, M. A., Clement, J. J., & Nunez-Oviedo, M. C. (2007) · Springer eBooks · doi:10.1007/978-1-4020-6494-4_2 · Cited by 35
“Mental models have led to the identification of important factors in learning and have supported curriculum reform efforts with some remarkable successes (Chi, Slotta, & Leeuw, 1994; Clement, 1993c; Clement, Brown, & Zietsman, 1989; Hennessey, 1999; Johnson & Stewart, 1990; Rea-Ramirez, 1998; P. H. Scott, Asoko, & Dri…”
BackgroundPositioning and validating the supervision framework
Scheerens, J., Seidel, T., Witziers, B., Hendriks, M. A., & Doornekamp, B. G. (2005) · University of Twente Research Information · Cited by 36
Ismailov, M. (2021) · Cogent Education · doi:10.1080/2331186x.2021.1982601 · Cited by 34
“An inquiry cycle developed by White and Frederiksen (1998) also identified five inquiry phases, labelled question, predict, experiment, model, and apply.”
BackgroundHsu, Y., Wu, H., & Hwang, F.-K. (2007) · Research in Science Education · doi:10.1007/s11165-007-9041-1 · Cited by 34
Russ, R. S., & Odden, T. O. B. (2017) · Physical Review Physics Education Research · doi:10.1103/physrevphyseducres.13.020105 · Cited by 35
Potter, T., Englund, L., Charbonneau, J., MacLean, M., Newell, J., & Roll, I. (2017) · Teaching & Learning Inquiry The ISSOTL Journal · doi:10.20343/teachlearninqu.5.2.8 · Cited by 34
“Improving students’ confidence in their ability to provide feedback is a significant contribution of ComPAIR, similar to other forms of training (White & Frederiksen, 1998).”
BackgroundKnowledge Integration and Displaced Volume
Linn, M. C., & Eylon, B. (2000) · Journal of Science Education and Technology · doi:10.1023/a:1009451808539 · Cited by 34
Louca, L. Τ., Zacharia, Z. C., Michael, M., & Constantinou, C. P. (2011) · Journal of Educational Computing Research · doi:10.2190/ec.44.2.c · Cited by 34
“…namely, scientific modeling, has been highlighted as a core component of science education (Louca & Zacharia, 2008; diSessa, Abelson, & Ploger, 1991; Justi & Gilbert, 2002; Redish & Wilson, 1993; Sherin, 1996; Sherin, diSessa, & Hammer, 1993; White & Frederiksen, 1998; Wilensky & Resnick, 1999).”
BackgroundState of the art of interaction analysis for Metacognitive Support & DiagnosisPreprint
Dimitrakopoulou, A., Petrou, A., Martínez‐Monés, A., Marcos, J. A., Kollias, V., Jermann, P., Harrer, A., Dimitriadis, Y. A., & Bollen, L. (2006) · HAL · Cited by 34
El profesorado como mediador cognitivo y promotor de un aprendizaje significativo
Ferreira, M., Olcina‐Sempere, G., & Reis-Jorge, J. (2019) · Revista Educación · doi:10.15517/revedu.v43i2.37269 · Cited by 33
Baroudi, S., & Helder, M. G. D. (2019) · Research in Science & Technological Education · doi:10.1080/02635143.2019.1651259 · Cited by 37
“As a result, students ’ achievements and attitudes towards science education (biology, physics, and chemistry) will be improved (Hattie 2008; White and Frederiksen 1998).”
InfluentialKeller, L., Riede, M., Link, S., Hüfner, K., & Stötter, J. (2022) · Energies · doi:10.3390/en15031118 · Cited by 38
“From an educational perspective, the theoretical and practical approach of all re-designed workshops is firmly based on the assumptions of moderate constructivism [53–57], conceptual change [58–64], and inquiry-based-learning [65–72].”
BackgroundChen, C., Chan, W.-P., Huang, S.-K., & Liao, C.-W. (2022) · Research in Science & Technological Education · doi:10.1080/02635143.2022.2032629 · Cited by 45
“First, learning in museums can be characterized as inquiry learning (Crowley, Pierroux, and Knutson 2014), and learners’ metacognition has been shown critical in conducting science inquiries that lead to the acquisition of science knowledge (White and Frederiksen 1998).”
BackgroundSwanepoel, S. (2010) · Unisa Institutional Repository (University of South Africa) · Cited by 33
Fostering general transfer with specific simulations
Son, J. Y., & Goldstone, R. L. (2009) · Pragmatics & Cognition · doi:10.1075/pc.17.1.01son · Cited by 32
Bo, W. V., Fulmer, G. W., Lee, C. K.-E., & Chen, V. D.-T. (2018) · Journal of Science Education and Technology · doi:10.1007/s10956-018-9744-2 · Cited by 32
Self‐directed reflective assessment for collective empowerment among pre‐service teachers
Yang, Y., Du, Y., van Aalst, J., Sun, D., & Ouyang, F. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.13040 · Cited by 32
Aleven, V. A. W. M. M. (2013) · Springer international handbooks of education · doi:10.1007/978-1-4419-5546-3_21 · Cited by 31
Conceptual Change—Multiple Routes, Multiple Mechanisms: A Commentary on Ohlsson (2009)
Chinn, C. A., & Samarapungavan, A. (2009) · Educational Psychologist · doi:10.1080/00461520802616291 · Cited by 32
“…2004; Hickey, Kindfield, Horwitz, & Christie, 2003; Krajcik & Blumenfeld, 2006; Linn & Hsi, 2000; Marx et al., 2004; McNeill & Krajcik, 2007, 2008; Reiser et al., 2001; Samarapungavan et al., 2008; Sandoval & Millwood, 2005; Schwartz & White, 2005; C. Smith et al., 1997; White & Frederiksen, 1998).”
BackgroundZohar, A. E. (2011) · Contemporary trends and issues in science education · doi:10.1007/978-94-007-2132-6_9 · Cited by 36
The learning analytics readiness instrument
Oster, M., Lonn, S., Pistilli, M. D., & Brown, M. G. (2016) · Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16 · doi:10.1145/2883851.2883925 · Cited by 31
“…for both individuals and groups of learners [28] by identifying deficiencies in cognition, improving understanding, and identifying the characteristics of good performance in a domain [36], the LARI is designed to facilitate similar reflective practices within HEIs in continual iterative cycles.”
BackgroundMetacognitive Strategies in the Introduction to Political Science Classroom
Lusk, A. (2015) · Journal of Political Science Education · doi:10.1080/15512169.2015.1060888 · Cited by 31
Reflection and assessment for learning in science enrichment courses for the gifted
Miedijensky, S., & Tal, T. (2016) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2016.05.001 · Cited by 32
Omarchevska, Y., Lachner, A., Richter, J., & Scheiter, K. (2021) · Journal of the Learning Sciences · doi:10.1080/10508406.2021.1966633 · Cited by 37
“…level (e.g., Andersen & Garcia-Mila, 2017), or has reported correlations between the quality of self-regulation skills and improvement of inquiry skills (e.g., Pedaste et al., 2012), or has focused on supporting self-regulation during inquiry (e.g., Manlove et al., 2007; White & Frederiksen, 1998).”
BackgroundSupporting Teachers to Customize Curriculum for Self-Directed Learning
Gerard, L. F., Bradford, A., & Linn, M. C. (2022) · Journal of Science Education and Technology · doi:10.1007/s10956-022-09985-w · Cited by 41
“…behind their ideas (Gunstone & Champagne, 1990); (2) discovering new ideas, for example, from scientific models or peers (Sampson & Clark, 2009; White & Frederiksen, 1998); (3) distinguishing among current ideas and new discoveries (Clark, 2006; Wen et al., 2020), and (4) reflecting on this…”
BackgroundLearning Environments: The Case for Evidence-Based Practice and Issue-Driven Research
Mayer, R. E. (2003) · Educational Psychology Review · doi:10.1023/a:1026179332694 · Cited by 31
“For example, over the course of more than a decade, White (1984, 1993; White and Frederiksen, 1998 ) developed a simulation-based program for teaching Newtonian physics to high school students and conducted controlled experiments establishing its effectiveness.”
BackgroundExamining the Internal Structure Evidence for the Performance Assessment for California Teachers
Duckor, B., Castellano, K. E., Téllez, K., Wihardini, D., & Wilson, M. R. (2014) · Journal of Teacher Education · doi:10.1177/0022487114542517 · Cited by 32
“…single dimension of teacher candidate “skills and abilities” from the literature on situated inquiry, modeling in learning theory, and metacognition (White & Frederiksen, 1998).7 Research on metacognition, in particular, suggests that differences between teacher candidates may be substantially…”
BackgroundWie schneiden SINUS-Schulen bei PISA ab?
Prenzel, M., Carstensen, C. H., Senkbeil, M., Ostermeier, C., & Seidel, T. (2005) · Zeitschrift für Erziehungswissenschaft · doi:10.1007/s11618-005-0158-6 · Cited by 31
Steer, D. N., Knight, C. C., Owens, K. D., & McCONNELL, D. A. (2005) · Journal of Geoscience Education · doi:10.5408/1089-9995-53.4.415 · Cited by 31
“A significant amount of science teaching research has been conducted that deals with evaluating cause and effect models (Raghaven and Glaser, 1995; White and Frederiksen, 1998), teaching and learning with concrete models (Gilbert, 1991; Gilbert and Ireton, 2003) and the”
BackgroundFostering science interests through head‐mounted displays
Andersen, M. S., Klingenberg, S., Petersen, G. B., Creed, P. A., & Makransky, G. (2022) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12749 · Cited by 33
“Providing students with self-directed activities that are engaging and purposeful has been shown to increase interest in science (Blankenburg et al., 2016; Kass & MacDonald, 1999; White & Frederiksen, 1998).”
BackgroundClassroom Assessment and Social Welfare Policy: Addressing Challenges to Teaching and Learning
Adams, P. (2004) · Journal of Social Work Education · doi:10.1080/10437797.2004.10778483 · Cited by 30
“Developing this capacity for internal dialogue and monitoring has been shown to improve understanding and transferability to new settings in several fields, including physics and mathematics (Bransford et al., 2000; Palincsar & Brown, 1984; White & Frederickson, 1998).”
BackgroundTorff, B., & Sessions, D. N. (2006) · Teacher education quarterly (Claremont, Calif.) · Cited by 30
Arias, A. M., Smith, P. S., Davis, E. A., Marino, J.-C., & Palincsar, A. S. (2017) · Journal of Science Teacher Education · doi:10.1080/1046560x.2016.1277597 · Cited by 30
“White and Frederiksen (1998) included predictions as part of their inquiry cycle to facilitate metacognition.”
BackgroundResultBierema, A. M. ‐., Schwarz, C. V., & Stoltzfus, J. R. (2017) · CBE—Life Sciences Education · doi:10.1187/cbe.17-01-0023 · Cited by 31
“The practice of scientific modeling allows scientists as well as others to make sense of phenomena and lies at the core of scientific endeavors (White and Frederiksen,1998; Nancy Pelaez, Monitoring Editor Submitted February 9, 2017; Revised September 11, 2017; Accepted September 13,…”
Considerations of Learning and Learning Research: Revisiting the "Media Effects" Debate
Nathan, M. J., & Robinson, C. D. (2001) · The Journal of Interactive Learning Research · Cited by 30
Do Video Modeling and Metacognitive Prompts Improve Self-Regulated Scientific Inquiry?
Omarchevska, Y., Lachner, A., Richter, J., & Scheiter, K. (2022) · Educational Psychology Review · doi:10.1007/s10648-021-09652-3 · Cited by 40
“The importance of metacognition (and self-regulation) for successful scientific reasoning was stressed more than 20 years ago (White & Frederiksen, 1998; Schunk and Zimmerman, 1998).”
BackgroundINQUIRY-BASED SCIENCE EDUCATION AS A REVISION STRATEGY
Сотакова, І., Ganajová, M., & Babinčáková, M. (2020) · Journal of Baltic Science Education · doi:10.33225/jbse/20.19.499 · Cited by 31
“According to multiple researchers, IBSE is based on the constructivist approach (Eisenkraft, 2003; Llewellyn, 2002; White & Frederiksen, 1998).”
MethodLearning 21st century science in context with mobile technologies
Anastopoulou, S., Sharples, M., Wright, M. J., Martin, H., Ainsworth, S. E., Benford, S., Crook, C. K., Greenhalgh, C., & O’Malley, C. L. (2008) · Open Research Online (The Open University) · Cited by 29
Wang, J., & Lin, S. (2007) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-007-9085-8 · Cited by 31
“Similar to self-assessment, the technique of reflective assessment to enhance metacognitive thinking has been recommended by researchers such as Abell & Bryan (1997), Donovan & Bransford (2005), and White & Frederiksen (1998) , in which self-evaluation experiences are introduced through conference and checklists focus…”
MethodInfluentialShamatha, J., Peressini, D. D., & Meymaris, K. A. (2004) · Contemporary issues in technology and teacher education · Cited by 29
Learning How to Design a Technology Supported Inquiry-Based Learning Environment.
Hakverdi, M., & Sönmez, D. (2012) · Science education international · Cited by 29
Using Peer Feedback to Improve Students’ Scientific Inquiry
Tasker, T. Q., & Herrenkohl, L. R. (2016) · Journal of Science Teacher Education · doi:10.1007/s10972-016-9454-7 · Cited by 29
“In a metacognitive process called ‘‘reflective assessment’’ (White & Frederiksen, 1998), the WOI builds in self-assessments as well as peer feedback and discussion, as research shows that feedback coming from the teacher or a peer and one’s own self-assessment impacts learners’ knowledge and beliefs…”
BackgroundLyon, C. J., Oláh, L. N., & Wylie, E. C. (2019) · The Journal of Educational Research · doi:10.1080/00220671.2018.1514359 · Cited by 45
“More importantly, learning has been shown to improve when students take ownership of their own learning and act as instructional resources for one another (Andrade et al., 2008; Cohen et al., 2003; White & Frederiksen, 1998).”
BackgroundFrederiksen, J. R., & White, B. Y. (1997) · Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference · doi:10.3115/1599773.1599780 · Cited by 29
Self-citationKee, K. N. (2014) · University of Michigan Press eBooks · doi:10.3998/dh.12544152.0001.001 · Cited by 33
Daley, S. G., Hillaire, G., & Sutherland, L. M. (2014) · British Journal of Educational Technology · doi:10.1111/bjet.12221 · Cited by 28
Hsu, Y., Wang, C.-Y., & Zhang, W. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.004 · Cited by 31
“…et al., Supporting technology-enhanced inquiry through metacognitive and cognitive prompts: Sequential analysis of metacognitive actions in response to mixed prompts, Computers in Human Behavior (2016), http://dx.doi.org/10.1016/ j.chb.2016.10.004 Krajcik, 2005; White & Frederiksen, 1998, 2005).”
BackgroundInfluentialReflective assessment for epistemic agency of academically low‐achieving students
Yang, Y. (2019) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12343 · Cited by 28
Peng, J., Yuan, B., Sun, M., Jiang, M., & Wang, M. (2022) · Sustainability · doi:10.3390/su141912907 · Cited by 28
“It is possible that weak students often lack high-level cognitive and metacognitive skills [18,52], and scaffolding for complex thinking and learning can effectively engage weak students in complex tasks and make them benefit more from the learning program [53,54]().”
BackgroundModelling affect expression and recognition in an interactive learning environment
McQuiggan, S. W., & Lester, J. C. (2009) · International Journal of Learning Technology · doi:10.1504/ijlt.2009.028807 · Cited by 28
“…it increases students' beliefs that scientific theories change as new evidence becomes available (rather than being seen as unchangeable entities), and perhaps most importantly, it makes science more concretely meaningful (rather than seeming too abstract) (White and Fredricksen, 1998).”
BackgroundUnderstanding Elementary Astronomy by Making Drawing-Based Models
van Joolingen, W., Aukes, A. V. A., Gijlers, H., & Bollen, L. (2014) · Journal of Science Education and Technology · doi:10.1007/s10956-014-9540-6 · Cited by 28
“This focus on models and modeling is found among other authors as well, including White and colleagues (Schwarz and White 2005; White and Frederiksen 1998), who explicitly address teaching about modeling in what they call a ‘‘meta-modeling’’ approach.”
BackgroundExtending Students’ Practice of Metacognitive Regulation Skills with the Science Writing Heuristic
van Opstal, M. T., & Daubenmire, P. L. (2015) · International Journal of Science Education · doi:10.1080/09500693.2015.1019385 · Cited by 29
“However, other studies show that providing an environment in which metacognitive strategy use is supported improves metacognitive strategy use and awareness in students (Case, Gunstone, & Lewis, 2001; Kipnis & Hofstein, 2008; Sandi-Urena, Cooper, & Stevens, 2011, 2012; White & Frederiksen, 1998).”
BackgroundMichalsky, T., Zion, M., & Mevarech, Z. R. (2007) · Journal of Educational Computing Research · doi:10.2190/320v-8h4w-1123-44r6 · Cited by 30
“Metacognitive awareness, thus, tends to make students more systematic in their thinking, and helps them identify errors before they proceed too far in the wrong direction of the inquiry process (Keselman, 2003; White & Frederiksen, 1998).”
BackgroundAlonso, M. A. P. (2015) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2015.01.470 · Cited by 27
Metadata
- Authors
- White, B. Y., & Frederiksen, J. R.
- Venue
- Cognition and Instruction
- Publisher
- Informa UK Limited
- Published
- 1998-03
- Volume
- 16
- Issue
- 1
- Pages
- 3-118
- ISSN
- 0737-0008 (ISSN-L)
- 1532-690X
- OpenAlex
- W2029930609
- Cited by
- 1,394
- References
- 73
- Citations by year
- 2026: 21 · 2025: 31 · 2024: 30 · 2023: 35 · 2022: 55 · 2021: 38 · 2020: 67 · 2019: 53 · 2018: 49 · 2017: 65 · 2016: 62 · 2015: 82 · 2014: 57 · 2013: 75 · 2012: 79
- FWCI
- 124.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cognition and Instruction (publishedVersion)
- HAL (submittedVersion)
- Topics
- Social Sciences › Education › Science Education and Pedagogy
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Keywords
- scientific inquiry, metacognition, reflective assessment, inquiry cycle, junior high school science, force and motion, modeling, scaffolding, low-achieving students, urban education, educational disadvantage
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review