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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…
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“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
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Using Video Games to Support Pre-Service Elementary Teachers Learning of Basic Physics Principles
Anderson, J., & Barnett, M. (2010) · Journal of Science Education and Technology · doi:10.1007/s10956-010-9257-0 · Cited by 77
“It is believed that building such qualitative mental models lays the foundation for students’ development of a more scientific, abstract understanding of electric field models (White & Frederiksen, 1998).”
BackgroundSelf-Regulated Learning and Technology-Enhanced Learning Environments
Bernacki, M. L., Aguilar, A. C., & Byrnes, J. P. (2010) · IGI Global eBooks · doi:10.4018/978-1-61692-901-5.ch001 · Cited by 67
“White and Frederiksen (1998) used science inquiry simulations to enhance this attribute.”
BackgroundEmerging Forms of Formative Intervention Research in Education
Penuel, W. R. (2014) · Mind Culture and Activity · doi:10.1080/10749039.2014.884137 · Cited by 71
“The researchers introduced research that suggests developing questions can help students deepen their understanding of inquiry and learn to question beliefs and evidence for beliefs (White & Frederiksen, 1998).”
BackgroundSelf-Assessment Through Rubrics
Andrade, H. (2008) · Cited by 65
Belland, B. R. (2011) · Educational Psychology Review · doi:10.1007/s10648-011-9176-5 · Cited by 64
Teachers’ Voices on Integrating Metacognition into Science Education
Ben‐David, A., & Orion, N. (2012) · International Journal of Science Education · doi:10.1080/09500693.2012.697208 · Cited by 75
“…is highly beneficial for low-achieving students (BenDavid & Zohar, 2008; Cardelle-Elawar, 1995; Kramarski, Mevarech, & Arami, 2002; Mevarech, 1999; Mevarech & Fridkin, 2006; Mevarech & Kramarski, 1997; Teong, 2003; White & Frederiksen, 1998, 2000; Zohar & Ben-David, 2008; Zohar & Peled, 2008).”
Paper-based aids for learning with a computer-based game.
Fiorella, L., & Mayer, R. E. (2012) · Journal of Educational Psychology · doi:10.1037/a0028088 · Cited by 66
Dynamics of Reflective Assessment and Knowledge Building for Academically Low-Achieving Students
Yang, Y., van Aalst, J., & Chan, C. K. K. (2019) · American Educational Research Journal · doi:10.3102/0002831219872444 · Cited by 65
“In the seminal study on reflective assessment, White and Frederiksen (1998) provided students scientific Knowledge Building and Reflective Assessment for Low Achievers inquiry criteria for peer assessment to help them improve their metacognition and found below-average students gained more in…”
BackgroundMethodInfluentialCulinary fluid mechanics and other currents in food science
Mathijssen, A. J. T. M., Lisicki, M., Prakash, V. N., & Mossige, E. J. L. (2023) · Reviews of Modern Physics · doi:10.1103/revmodphys.95.025004 · Cited by 74
Luna, M. J. (2018) · Cognition and Instruction · doi:10.1080/07370008.2018.1496919 · Cited by 63
“…practices, in general, have been linked to increased student learning (Black, Harrison, Lee, Marshall, & Wiliam, 2003; Black & Wiliam, 1998; White & Frederiksen, 1998), and in studies of teachers’ attention to students’ thinking specifically, both the responsive teaching literature in…”
BackgroundLearning, Assessment and Collaboration in Computer-Supported Environments
Chan, C. K. K., & van Aalst, J. (2004) · Springer eBooks · doi:10.1007/1-4020-7921-4_4 · Cited by 60
nQuire: Technological Support for Personal Inquiry Learning
Mulholland, P., Anastopoulou, S., Collins, T., Feißt, M., Gaved, M., Kerawalla, L., Paxton, M., Eileen Scanlon, A., Sharples, M., & Wright, M. (2011) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2011.32 · Cited by 63
“White and Frederiksen [2] also propose a”
Yang, Y., Zhu, G., Sun, D., & Chan, C. K. K. (2022) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-022-09372-y · Cited by 62
“A comparatively less structured inquiry model is that developed by White and Frederiksen (1998), who defined an inquiry cycle composed of the steps “question—predict—experiment—model—apply” for students’ reflective assess - ment activities.”
BackgroundJosephsen, J., & Kristensen, A. K. M. (2006) · Chemistry Education Research and Practice · doi:10.1039/b6rp90013e · Cited by 62
“This result is in agreement with other studies investigating students’ learning gain from work with computer-based learning environments that diminish cognitive load (Lajoi, 1993; Lajoi et al. , 1998, 2001, White and Frederiksen, 1998, Mayer and Moreno, 2003).”
ResultNosratinia, M., Saveiy, M., & Zaker, A. (2014) · Theory and Practice in Language Studies · doi:10.4304/tpls.4.5.1080-1092 · Cited by 72
“In order for learners to use metacognitive strategies to enhance their learning, they need to be aware of their own learning tendencies and control their learning (Conner, 2006; White & Frederiksen, 1998; Winne, 1995).”
BackgroundStudents' Roles in Group-Work with Visual Data: A Site of Science Learning
Radinsky, J. (2008) · Cognition and Instruction · doi:10.1080/07370000801980779 · Cited by 64
“In so doing, several learning mechanisms are called into play: knowledge is made explicit, new knowledge is co-elaborated, and interpretations of data are employed as evidence in relation to claims and positions ( Baker, 2004 , cited in Andriessen, 2006 ; White & Frederiksen, 1998 ).”
BackgroundMetacognition, Learning, and Instruction
McCormick, C. B., Dimmitt, C., & Sullivan, F. R. (2012) · Wiley eBooks · doi:10.1002/9781118133880.hop207004 · Cited by 64
The Impact of Learner’s Prior Knowledge on Their Use of Chemistry Computer Simulations: A Case Study
Liu, H., Andre, T., & Greenbowe, T. J. (2008) · Journal of Science Education and Technology · doi:10.1007/s10956-008-9115-5 · Cited by 61
“Computer simulations are found to be effective in helping novices in learning science by providing opportunities for users to explore science concepts at their own pace (Penuel et al. 2006; White and Frederiksen 1998; Wu et al. 2001).”
BackgroundStudent goal orientation in learning inquiry skills with modifiable software advisors
Shimoda, T. A., White, B. Y., & Frederiksen, J. R. (2002) · Science Education · doi:10.1002/sce.10003 · Cited by 61
“The SCI-WISE system is based on the successes of the ThinkerTools inquiry cycle and curriculum (e.g., White & Frederiksen, 1998) and is intended to help students acquire inquiry skills through experimentation that is more epistemologically authentic (Chinn & Malhotra, in press).”
BackgroundMethodInfluentialSelf-citationReflective Adaptation of a Technology Artifact: A Case Study of Classroom Change
Lin, X. (2001) · Cognition and Instruction · doi:10.1207/s1532690xci1904_1 · Cited by 61
“…social environments to provide support for metacognitive activities, such as reflection, self-assessment, and revision (e.g., Lin, 2001; Lin, Hmelo, Kinzer, & Secules, 1999; Vye, Schwartz, Bransford, Barron, Zech, & The Cognition and Technology Group at Vanderbilt, 1998; White & Frederiksen, 1998).”
BackgroundTechnology-Enhanced Support Strategies for Inquiry Learning
Kali, Y., & Linn, M. C. (2007) · doi:10.4324/9780203880869.ch12 · Cited by 61
Student Experiences of Carrying out a Practical Science Investigation Under Direction
Hume, A., & Coll, R. K. (2008) · International Journal of Science Education · doi:10.1080/09500690701445052 · Cited by 60
“…learn science (Hughes, 2004; Jenkins, 1996), engender attitudes and dispositions associated with those of autonomous and self-motivated learners (Deboer 2002; Reid & Yang, 2002), and improve students’ thinking and learning capabilities (Duggan & Gott, 2002; Haigh, 2003; White & Fredericksen, 1998).”
BackgroundFrom “Try It and See” to strategic exploration: Characterizing young children's scientific reasoning
Tytler, R., & Peterson, S. (2003) · Journal of Research in Science Teaching · doi:10.1002/tea.10126 · Cited by 60
Recent advances in classroom physics
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Wagh, A., Cook-Whitt, K., & Wilensky, U. (2017) · Journal of Research in Science Teaching · doi:10.1002/tea.21379 · Cited by 75
Clark, D. B., & Martinez-Garza, M. M. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9781139031127.023 · Cited by 59
Gotwals, A. W., Philhower, J., Cisterna, D., & Bennett, S. (2015) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-015-9623-8 · Cited by 59
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The effects of a concept map-based support tool on simulation-based inquiry learning.
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Web-based Collaborative Inquiry to Bridge Gaps in Secondary Science Education
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“…that the ambitious instructional context represented by Web-based inquiry science teaching has unique opportunities for and might even benefit educationally disadvantaged students when appropriate scaffolding is provided (Palincsar, Magnusson, Collins, & Cutter, 2001; White & Frederiksen, 1998).”
BackgroundInfluentialGreca, I. M., Seoane, E., & Arriassecq, I. (2014) · Science & Education · doi:10.1007/s11191-013-9673-7 · Cited by 58
“of models (e.g. Stratford et al. 1998; White and Frederiksen 1998; Sins et al. 2009) or Epistemological Issues Concerning Computer Simulations 913”
BackgroundMethodConcurrent enrollment in lecture and laboratory enhances student performance and retention
Matz, R. L., Rothman, E. D., Krajcik, J. S., & Holl, M. M. B. (2012) · Journal of Research in Science Teaching · doi:10.1002/tea.21016 · Cited by 56
“White and Frederiksen (1998) have also shown that metacognitive activities can specifically help lower-achieving students, which may explain the observed disproportionate effect of concurrent enrollment on final grades that depends on students’ placement exam scores.”
InfluentialA Design Model of Distributed Scaffolding for Inquiry-Based Learning
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“Since the literature suggests that monitoring learning is important for inquiry learning (Sandoval and Reiser 2004; White and Frederiksen 1998), we added one reflective question in each step of the inquiry to facilitate ongoing reflection during the investigation in LPT3 (Appendix 1 — LPT3).”
BackgroundExamining Learning Through Modeling in K-6 Science Education
Louca, L. Τ., & Zacharia, Z. C. (2014) · Journal of Science Education and Technology · doi:10.1007/s10956-014-9533-5 · Cited by 56
(2006) · Journal of Science Education and Technology · doi:10.1007/s10956-006-0357-4 · Cited by 58
“Many teachers however, either do not fully understand the inquiry process or do not have confidence or the time to develop new teaching strategies geared to develop students’ understanding and use of the inquiry process (Schauble et al., 1991; White and Frederiksen, 1998).”
BackgroundMarino, M. T. (2010) · Journal of Special Education Technology · doi:10.1177/016264341002500101 · Cited by 56
Yang, Y., Long, Y., Sun, D., van Aalst, J., & Cheng, S. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12985 · Cited by 66
“Most importantly, sharing, evaluating, and reflecting enable students to develop metacognitive skills (such as planning, reflecting, evaluating, and regulating) and thus learn how to learn (White & Frederiksen, 1998; Yang, 2019; Yang et al., 2016).”
BackgroundTeig, N., Scherer, R., & Kjærnsli, M. (2020) · Journal of Research in Science Teaching · doi:10.1002/tea.21657 · Cited by 63
Kruit, P., Oostdam, R., van den Berg, E., & Schuitema, J. A. (2018) · International Journal of Science Education · doi:10.1080/09500693.2018.1428777 · Cited by 66
“It also gives an understanding of how the inquiry process may be organised, which is particularly important for students in primary education who have little experience with scientific inquiry (Donovan, Bransford & Pellegrino, 1999; White & Frederiksen, 1998).”
Schwarz, C. V., Meyer, J., & Sharma, A. (2007) · Journal of Science Teacher Education · doi:10.1007/s10972-007-9039-6 · Cited by 54
“Preservice teachers then chose from among five modeling tools to review and evaluate, including ThinkerTools TM (force-and-motion; White & Frederiksen, 1998; http://thinkertools.soe.berkeley.edu/), Model-it TM (relation-based; Spitulnik et al., 1999), Archimedes & Beyond TM (matter; Smith, Snir, &…”
MethodKranz, J., Baur, A., & Möller, A. (2022) · Studies in Science Education · doi:10.1080/03057267.2022.2138151 · Cited by 96
“…questions is important in problem-solving procedures (CuccioSchirripa & Steiner, 2000), because it usually represents the start of the research process (Bell et al., 2005), the pursuit of which advances and extends knowledge on a certain topic (Chin & Osborne, 2008; White & Frederiksen, 1998).”
BackgroundIntegrating computer- and teacher-based scaffolds in science inquiry
Wu, H., & Pedersen, S. (2011) · Comput. Educ. · doi:10.1016/j.compedu.2011.05.011 · Cited by 53
Marshall, J. C., Horton, B., & Smart, J. (2008) · Journal of Science Teacher Education · doi:10.1007/s10972-008-9114-7 · Cited by 61
“Further, teachers remain largely unable to implement the strategies developed and tested over the last few decades that inform and guide effective learning (Black and Wiliam 1998; Bransford et al. 2000; Donovan and Bransford 2005; White and Frederiksen 1998).”
BackgroundRethinking the nature of online work in asynchronous learning networks
van Aalst, J. (2006) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2006.00557.x · Cited by 53
Can Help Seeking be Tutored? Searching for the Secret Sauce of Metacognitive Tutoring
Roll, I., Aleven, V., McLaren, B. M., & Koedinger, K. R. (2018) · Figshare · doi:10.1184/r1/6469874 · Cited by 53
Koedinger, K. R., Aleven, V. A. W. M. M., Roll, I., & Baker, R. S. (2009) · doi:10.4324/9780203876428.ch20 · Cited by 52
“Other researchers have also focused on the metacognitive processes of monitoring one’s performance and progress, to check for errors or evaluate level of understanding (Flavell, 1979; Palinscar & Brown, 1984; Pintrich, 2004; Schoenfeld, 1983; White & Frederiksen, 1998).”
BackgroundStudent' Strategic Actions in Computer-Supported Collaborative Learning
Salovaara, H., & Järvelä, S. (2003) · Learning Environments Research · doi:10.1023/a:1027379824485 · Cited by 53
Peel, A., Sadler, T. D., & Friedrichsen, P. M. (2022) · Journal of Science Education and Technology · doi:10.1007/s10956-022-09965-0 · Cited by 52
“Computational modeling has supported science learning and CT learning (Arastoopour Irgens et al., 2020; Aslan et al., 2020; Buckley et al., 2004; Klopfer, 2003; Schwarz et al., 2007; White & Frederiksen, 1998; Wilkerson-Jerde e t al., 2015).”
MethodZhu, H., Dow, S. P., Kraut, R. E., & Kittur, A. (2014) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2531602.2531718 · Cited by 55
“Providing students with opportunities to mentor others can also help them learn by developing meta-cognitive knowledge and skills, that is, students “learn how to learn” [3, 34].”
BackgroundThe Role of Self-monitoring in Learning Chemistry with Dynamic Visualizations
Chiu, J. L., & Linn, M. C. (2011) · Contemporary trends and issues in science education · doi:10.1007/978-94-007-2132-6_7 · Cited by 56
Students With Learning Disabilities in Inquiry-Based Science Classrooms: A Cross-Case Analysis
McGrath, A. L., & Hughes, M. T. (2017) · Learning Disability Quarterly · doi:10.1177/0731948717736007 · Cited by 63
“…students work together and contribute equally in heterogeneous inquiry-based activities and the burden of all the work does not fall on one student (White & Frederiksen, 1998), (b) enabling the teacher to provide more time to assist student partnerships based on their levels of need (Menesses &…”
BackgroundSupporting Self-Regulated Learning with Cognitive Tools
Winne, P. H., & Frederiksen, J. R. (2009) · Routledge eBooks · doi:10.4324/9780203876428-21 · Cited by 52
Self-citationGrotzer, T. A., & Mittlefehldt, S. (2011) · Contemporary trends and issues in science education · doi:10.1007/978-94-007-2132-6_5 · Cited by 54
Eliciting Self-Explanations Improves Children's Performance on a Field-Based Map Skills Task
Kastens, K. A., & Liben, L. S. (2007) · Cognition and Instruction · doi:10.1080/07370000709336702 · Cited by 52
Namdar, B., & Shen, J. (2015) · International Journal of Science Education · doi:10.1080/09500693.2015.1012185 · Cited by 51
“…or modeling-based instruction (MBI) in science education (Buckley, 2000; Cheng & Brown, 2010; Gilbert & Boutler, 2000; Gobert, 2000; Johnstone & Mahmoud, 1981; Louca & Zacharia, 2012; Roth, Woszczyna, Smith, Universiq, & Va, 1996; Shen, Lei, Chang, & Namdar, 2014; White & Frederiksen, 1998).”
Transfer from structured to open-ended problem solving in a computerized metacognitive environment
Kapa, E. (2007) · Learning and Instruction · doi:10.1016/j.learninstruc.2007.09.019 · Cited by 55
Where Is Educational Neuroscience?
Bruer, J. T. (2016) · Educational Neuroscience · doi:10.1177/2377616115618036 · Cited by 63
Oppong, E., Shore, B. M., & Muis, K. R. (2018) · Gifted Child Quarterly · doi:10.1177/0016986218814008 · Cited by 56
Teachers' assessment of students' research skills
Stokking, K. M., Schaaf, M., Jaspers, J., & Erkens, G. (2004) · British Educational Research Journal · doi:10.1080/01411920310001629983 · Cited by 52
“Moreover, thinking in terms of concrete practical steps does no justice to the more conceptual aspects of doing research (Kirschner, 1992; Gott & Duggan, 1996; White & Frederiksen, 1998).”
BackgroundDesigning Effective Visualizations for Elementary School Science
Kali, Y., & Linn, M. (2008) · The Elementary school journal · doi:10.1086/590525 · Cited by 57
“Research has shown that technology-enhanced visualizations have the potential to advance learning in science disciplines such as physics (e.g., White & Frederiksen, 1998), chemistry (e.g., Dori, Sasson, Kaber-man, & Herscovitz, 2004), earth science (e.g., Edelson, Gordin, & Pea, 1999; Kolod-ner et…”
BackgroundA framework for science classroom assessment task design for emergent bilingual learners
Fine, C. G. M., & Furtak, E. M. (2020) · Science Education · doi:10.1002/sce.21565 · Cited by 54
Inquiry-based learning and E-learning: how to serve high and low achievers
Sotiriou, S. A., Lazoudis, A., & Bogner, F. X. (2020) · Smart Learning Environments · doi:10.1186/s40561-020-00130-x · Cited by 69
Expert models and modeling processes associated with a computer‐modeling tool
Zhang, B., Liu, X., & Krajcik, J. S. (2006) · Science Education · doi:10.1002/sce.20129 · Cited by 48
“Over the past 10 years, many researchers have developed computer-based modeling tools to support elementary and secondary school students in scientific modeling (e.g., Mandinach, 1989; Resnick, 1996; Schwarz, 1998; White & Frederiksen, 1998).”
BackgroundRelations of Gender and Socioeconomic Status to Physics Through Metacognition and Self-Efficacy
Yerdelen-Damar, S., & Peşman, H. (2013) · The Journal of Educational Research · doi:10.1080/00220671.2012.692729 · Cited by 48
“Although the research studies suggested that male students outperform female students in physics (e.g., Yıldırım & Eryılmaz, 1999), in the present study, young men demonstrated significantly lower scores than young women in physics achievement with respect to the direct relation in the model.”
BackgroundMethodResultInfluentialDonnelly-Hermosillo, D. F., McGarr, O., & O'Reilly, J. (2014) · International Journal of Science Education · doi:10.1080/09500693.2014.889867 · Cited by 56
Zohar, A. E., & Ben-Ari, G. (2022) · Metacognition and Learning · doi:10.1007/s11409-022-09310-1 · Cited by 62
Metacognition in the classroom
Çubukçu, F. (2009) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2009.01.101 · Cited by 47
“Even more encouraging is that academically weak students are found to benefit from metacognitive training ( White & Frederiksen, 1998 ).”
BackgroundKyza, E. Α., Constantinou, C. P., & Spanoudis, G. C. (2011) · International Journal of Science Education · doi:10.1080/09500693.2010.550951 · Cited by 50
“In our work, we view explanation‐driven inquiry as the means to learn, do, and teach science, a view which is supported by extensive literature in science teaching and learning (Anderson, 2002 ; Chinn & Malhotra, 2002 ; Donovan & Bransford, 2005 ; NRC, 1996 ; White & Frederiksen, 1998 ).”
MethodGasLab—an Extensible Modeling Toolkit for Connecting Micro-and Macro-properties of Gases
Wilensky, U. J. (1999) · Springer eBooks · doi:10.1007/978-1-4612-1414-4_7 · Cited by 47
“…et al 1994; Jackson et al 1996; Mandinach & Cline 1994; Mellar et al 1994; Roberts et al 1983; Repenning 1994; Shore et al 1992; Smith et al 1994; White & Frederiksen 1998; Wilensky, 1997; Wilensky & Resnick, in press), there remains significant lack of consensus about the proper role of…”
BackgroundDesigning a Web-Based Science Learning Environment for Model-Based Collaborative Inquiry
Sun, D., & Looi, C. (2012) · Journal of Science Education and Technology · doi:10.1007/s10956-012-9377-9 · Cited by 47
“White and Frederiksen (1998) developed the ThinkerTools curriculum that consisted of an iterative activity sequence ‘‘question—predict—experiment— model—apply’’ for physics with an emphasis on students’ reflective assessment on their inquiry activities.”
BackgroundMethodBoaler, J., & Sengupta‐Irving, T. (2016) · The Journal of Mathematical Behavior · doi:10.1016/j.jmathb.2015.10.007 · Cited by 47
“…or learning (Engle & Conant, 2002), and are engaged in mathematical practices like questioning, reasoning, and generalizing. n a seminal study, White and Frederiksen (1998) showed that teaching students learning practices in science and giving hem time to reflect upon them led to remarkable…”
BackgroundCollins, A., & Kapur, M. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108888295.010 · Cited by 52
Iiskala, T., Volet, S., Lehtinen, E., & Vauras, M. (2015) · Frontline Learning Research · doi:10.14786/flr.v3i1.159 · Cited by 47
“A number of studies have shown that inquiry learning stimulates students’ active engagement in learning processes that require metacognition to monitor understanding (e.g. Khosa & Volet, 2014; White & Frederiksen, 1998).”
BackgroundPathak, S. A., Kim, B., Jacobson, M. J., & Zhang, B. (2011) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-010-9099-z · Cited by 46
“By adopting and later expanding the approach of White and Frederiksen (1998) model of an inquiry cycle, we devised a coding scheme that fits our research.”
BackgroundMethodTeachers’ use of research evidence in practice: a pilot study of feedback to enhance learning
See, B. H., Gorard, S. A. C., & Siddiqui, N. (2015) · Educational Research · doi:10.1080/00131881.2015.1117798 · Cited by 47
“White and Frederiksen (1998), on the other hand, suggested that pupils should be told explicitly by teachers what the criteria of success will be.”
BackgroundCollective reflective assessment for shared epistemic agency by undergraduates in knowledge building
Yang, Y., Chen, Q., Yu, Y., Feng, X., & van Aalst, J. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.12909 · Cited by 46
“These findings are consistent with prior research that has examined KB inquiry and reflective assessment (Raes, Schellens, & De Wever, 2014; White & Frederiksen, 1998; Yang et al. , 2016, 2019).”
ResultMaking Their Own Connections: Students' Understanding of Multiple Models in Basic Electricity
Gutwill, J. P., Frederiksen, J. R., & White, B. Y. (1999) · Cognition and Instruction · doi:10.1207/s1532690xci1703_2 · Cited by 46
Self-citationStrategies to read and learn: overcoming learning by consumption
McNamara, D. S. (2010) · Medical Education · doi:10.1111/j.1365-2923.2009.03550.x · Cited by 47
Socio‐cultural aspects of prompting student reflection in Web‐based inquiry learning environments
Furberg, A. (2009) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2009.00320.x · Cited by 45
“The overall conclusion of the study is that prompting reflection is effective for all students, but that 'low-achieving' students can benefit especially from these types of prompts (White & Frederiksen 1998, p. 51).”
Backgroundvan Aalst, J., & Truong, M. S. (2011) · International Journal of Science Education · doi:10.1080/09500691003649656 · Cited by 39
“Students know much less than scientists and need more mentoring, and a knowledge creation culture does not generally pre‐exist in classrooms (White & Frederiksen, 1998 ); scientific communities evolve more than classes of students (Barab, Kling, & Gray, 2004 ), and scientists tend to be concerned with the day‐to‐day d…”
BackgroundThe Relationship Between Locus of Control, Metacognition, and Academic Success
Hrbáčková, K., Hladík, J., & Vávrová, S. (2012) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2012.12.130 · Cited by 53
weSPOT: A Personal and Social Approach to Inquiry-Based Learning
Mikroyannidis, A., Okada, A., Protopsaltis, A., Rusman, E., Chaimala, F., Kikis-Papadakis, K., Stefanov, K., Specht, M. M., Held, P., Boytchev, P., et al. (2020) · DSpace (Open University in the Netherlands) · doi:10.3217/jucs-019-14-2093 · Cited by 45
“Based on John Dewey’s philosophy that IBL begins with the curiosity of learners, several authors (White and Frederiksen, 1998, Bruce and Bishop, 2002) suggest a 5-step cycle of inquiry, as shown in Figure 1.”
BackgroundBorge, M., & White, B. Y. (2016) · Cognition and Instruction · doi:10.1080/07370008.2016.1215722 · Cited by 51
“Self-regulation is the ability of an individual to monitor and regulate their own processes in order to adapt individual behaviors to specific external conditions (Boekarts, 1996; White & Frederiksen, 1998).”
BackgroundSelf-citationSerious Design for Serious Play in Physics.
Rieber, L. P., & Matzko, M. J. (2001) · Educational Technology archive · Cited by 45
Motivating Students to Learn STEM via Engaging Flight Simulation Activities
Ng, D. T. K., & Chu, S. K. W. (2021) · Journal of Science Education and Technology · doi:10.1007/s10956-021-09907-2 · Cited by 50
Guo, X., Hao, X., Deng, W., Ji, X., Xiang, S., & Hu, W. (2022) · International Journal of STEM Education · doi:10.1186/s40594-022-00355-x · Cited by 51
“…epistemological beliefs can further communicate and debate problem explanations or problem solutions during the inquiry process, reflect on their inquiry process and what they have learned, and attribute reasons for their success or failure (Alake-Tuenter et al., 2012; White & Frederiksen, 1998).”
BackgroundYang, W.-T., Lin, Y.-R., She, H., & Huang, K.-Y. (2015) · International Journal of Science Education · doi:10.1080/09500693.2015.1045957 · Cited by 53
“Online learning provides excellent opportunities for students to propose, support, evaluate, critique, and re fi ne ideas productively (Hand, Norton-Meier, Staker, & Bintz, 2009; Wenning, 2005; White & Frederiksen, 1998).”
BackgroundRappolt‐Schlichtmann, G., Boucher, A. R., & Evans, M. (2018) · Language Speech and Hearing Services in Schools · doi:10.1044/2018_lshss-dyslc-18-0031 · Cited by 57
Stephenson, N. S., Duffy, E. M., Day, E. L., Padilla, K., Herrington, D. G., Cooper, M. M., & Carmel, J. H. (2020) · Journal of Chemical Education · doi:10.1021/acs.jchemed.9b00897 · Cited by 49
Keating, T. M., Barnett, M., Barab, S. A., & Hay, K. E. (2002) · Journal of Science Education and Technology · doi:10.1023/a:1016024619689 · Cited by 44
“For example, students can examine and explore basic physics by constructing kinetic models using the ThinkerTools software package ( White and Frederikson, 1998 ), construct models that represent the factors that influence ecosystems and water quality (Stratford, 1997; Stratford et al., 1998), and build computational…”
MethodMarino, M. T., & Beecher, C. C. (2010) · Learning Disability Quarterly · doi:10.1177/073194871003300407 · Cited by 44
How effective is instructional support for learning with computer simulations?
Eckhardt, M., Urhahne, D., Conrad, O., & Harms, U. (2012) · Instructional Science · doi:10.1007/s11251-012-9220-y · Cited by 57
“The reflective support led to positive effects in conceptual knowledge acquisition (White and Frederiksen 1998).”
BackgroundMethodInfluentialRoutines, roles, and responsibilities for aligning scientific and classroom practices
Ford, M. J., & Wargo, B. M. (2006) · Science Education · doi:10.1002/sce.20171 · Cited by 44
Federer, M. R., Nehm, R. H., Opfer, J. E., & Pearl, D. K. (2014) · Research in Science Education · doi:10.1007/s11165-014-9435-9 · Cited by 43
“While such approaches have proven useful in a variety of scientific domains (Opfer et al. 2012; White and Frederickson 1998), the potential biases intrinsic to these types of assessment tasks have not been explored in many domains.”
BackgroundPenuel, W. R., & Yarnall, L. (2005) · The Journal of Technology, Learning and Assessment (Boston College) · Cited by 43
Warburton, E. C. (2004) · Research in Dance Education · doi:10.1080/1464789042000190889 · Cited by 43
Teacher Beliefs and Student Achievement in Technology-Rich Classroom Environments
Glassett, K. F., & Schrum, L. (2009) · NSUWorks (Nova Southeastern University) · Cited by 41
Wang, H.-S., Chen, S., & Yen, M.-H. (2021) · Physical Review Physics Education Research · doi:10.1103/physrevphyseducres.17.020108 · Cited by 52
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
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