Источники

Гладуэлл М. Гении и аутсайдеры. М.: Манн, Иванов и Фербер, 2016.

Дуэк К. Гибкое сознание. Новый взгляд на психологию развития взрослых и детей. М.: Манн, Иванов и Фербер, 2013.

Лакатос И. Доказательства и опровержения. Как доказываются теоремы. М.: ЛКИ, 2010.

Abiola O., Dhindsa H. S. Improving classroom practices using our knowledge of how the brain works // International Journal of Environmental & Science Education. 2011. Vol. 7 (1). Pp. 71–81.

Baker D. P., LeTendre G. K. National differences, global similarities: World culture and the future of schooling. Stanford, CA: Stanford University Press, 2005.

Ball D. L. With an eye on the mathematical horizon: Dilemmas of teaching elementary mathematics. The Elementary School Journal. 1993. Vol. 93 (4). Pp. 373–397.

Beaton A. E., O’Dwyer L. M. Separating school, classroom and student variances and their relationship to socio-economic status // D. F. Robitaille, A. E. Beaton, eds. Secondary analysis of the TIMSS data. Dordrecht: Kluwer Academic Publishers, 2002.

Beilock S. L., Gunderson E. A., Ramirez G., Levine S. C. Female teachers’ math anxiety affects girls’ math achievement // Proceedings of the National Academy of Sciences. 2009. Vol. 107 (5). Pp. 1860–1863.

Beilock S. Choke: What the secrets of the brain reveal about getting it right when you have to. New York: Free Press, 2011.

Black P., Harrison C., Lee C. et al. Working inside the black box: Assessment for learning in the classroom. London: Department of Education & Professional Studies, King’s College, 2002.

Black P. J., Wiliam D. Inside the black box: Raising standards through classroom assessment. Phi Delta Kappan, 1998a, October. Pp. 139–148.

Black P. J., Wiliam D. Assessment and classroom learning // Assessment in Education. 1998b. Vol. 5 (1). Pp. 7–74.

Blackwell L., Trzesniewski K., Dweck C. S. Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention // Child Development. 2007. Vol. 78 (1). Pp. 246–263.

Boaler J. When even the winners are losers: Evaluating the experiences of “top set” students // Journal of Curriculum Studies. 1997. Vol. 29 (2). Pp. 165–182.

Boaler J. Open and closed mathematics: Student experiences and understandings // Journal for Research in Mathematics Education. 1998. Vol. 29 (1). Pp. 41–62.

Boaler J. Experiencing school mathematics: Traditional and reform approaches to teaching and their impact on student learning (revised, expanded edition). Mahwah, NJ: Erlbaum, 2002a.

Boaler J. Paying the price for “sugar and spice”: Shifting the analytical lens in equity research // Mathematical Thinking and Learning. 2002b. Vol. 4 (2&3). Pp. 127–144.

Boaler J. The “psychological prisons” from which they never escaped: The role of ability grouping in reproducing social class inequalities. FORUM, 2005.

Boaler J. Promoting “relational equity” and high mathematics achievement through an innovative mixed ability approach // British Educational Research Journal. 2008. Vol. 34 (2). Pp. 167–194.

Boaler J. Ability and mathematics: The mindset revolution that is reshaping education // FORUM. 2013a. Vol. 55 (1). Pp. 143–152.

Boaler J. Ability grouping in mathematics classrooms // S. Lerman, ed. International encyclopedia of mathematics education. New York: Springer, 2013b.

Boaler J. The stereotypes that distort how Americans teach and learn math // Atlantic, 2013c, November 12.

Boaler J. Ability grouping in mathematics classrooms // S. Lerman, ed. Encyclopedia of mathematics education. Dordrecht: Springer Science+Business Media, 2014. Pp. 1–5 // doi: 10.1007/978-94-007-4978-8.

Boaler J. Changing the conversation about girls and STEM. Washington, DC: The White House, 2014a, April 28 // http://www.youcubed.org/wp-content/uploads/Youcubed-STEM-white-house.pdf.

Boaler J. The mathematics of hope — Moving from performance to learning in mathematics classrooms. 2014b // https://www.youcubed.org/the-mathematics-of-hope-moving-from-performance-to-learning-in-mathematics-classrooms.

Boaler J. Fluency without fear: Research evidence on the best ways to learn math facts. YouCubed at Stanford University, 2014c // http://www.youcubed.org/wp-content/uploads/2015/03/FluencyWithoutFear-2015.pdf.

Boaler J. What’s math got to do with it? How teachers and parents can transform mathematics learning and inspire success. New York: Penguin, 2015a.

Boaler J. Memorizers are the lowest achievers and other Common Core math surprises // The Hechinger Report. 2015b, May 7 // http://hechingerreport.org/memorizers-are-the-lowest-achievers-and-other-common-core-math-surprises.

Boaler J., Greeno J. Identity, agency and knowing in mathematics worlds // J. Boaler, ed. Multiple perspectives on mathematics teaching and learning. Westport, CT: Ablex Publishing, 2000. Pp. 171–200.

Boaler J., Humphreys C. Connecting mathematical ideas: Middle school video cases to support teaching and learning. Portsmouth, NH: Heinemann, 2005.

Boaler J., Meyer D., Selling S. K., Sun K. The Simpsons sun blocker: Similarity and congruence through modeling, exploration, and reasoning. YouCubed at Stanford University. No date // http://www.youcubed.org/wp-content/uploads/The-Sunblocker1.pdf.

Boaler J., Sengupta-Irving T. The many colors of algebra: Engaging disaffected students through collaboration and agency // Journal of Mathematical Behavior, 2015.

Boaler J., Staples M. Transforming students’ lives through an equitable mathematics approach: The case of Railside School // Teachers College Record. 2005. Vol. 110 (3). Pp. 608–645.

Boaler J., Wiliam D. “We’ve still got to learn!” Students’ perspectives on ability grouping and mathematics achievement // P. Gates, ed. Issues in mathematics teaching. London: Routledge-Falmer, 2001.

Boaler J., Wiliam D., Brown M. Students’ experiences of ability grouping — disaffection, polarisation and the construction of failure // British Educational Research Journal. 2001. Vol. 26 (5). Pp. 631–648.

Bransford J., Brown A., Cocking R. How people learn: Brain, mind, experience and school. Washington, DC: National Academy Press, 1999.

Brousseau G. The crucial role of the didactical contract in the analysis and construction of situations in teaching and learning mathematics // H. G. Steiner, ed. Theory of mathematics education. Bielefeld Germany: Institut f?r Didactik der Mathematik der Universit?t Bielefeld, 1984. Pp. 110–119.

Bryant A. In head-hunting, big data may not be such a big deal // New York Times. 2013. June 19 // http://www.nytimes.com/2013/06/20/business/in-head-hunting-big-data-may-not-be-such-a-big-deal.html.

Burris C., Heubert J., Levin H. Accelerating mathematics achievement using heterogeneous grouping // American Educational Research Journal. 2006. Vol. 43 (1). Pp. 103–134.

Burton L. The practices of mathematicians: What do they tell us about coming to know mathematics? // Educational Studies in Mathematics. 1999. Vol. 37. Pp. 121–143.

Butler R. Task-involving and ego-involving properties of evaluation: Effects of different feedback conditions on motivational perceptions, interest and performance // Journal of Educational Psychology. 1987. Vol. 79. Pp. 474–482.

Butler R. Enhancing and undermining intrinsic motivation: The effects of task-involving and ego-involving evaluation on interest and performance // British Journal of Educational Psychology. 1988. Vol. 58. Pp. 1–14.

Challenge Success. Changing the conversation about homework from quantity and achievement to quality and engagement. Stanford, CA: Challenge Success, 2012 // http://www.challengesuccess.org/portals/0/docs/ChallengeSuccess-Homework-WhitePaper.pdf.

Cohen E. Designing groupwork. New York: Teachers College Press, 1994.

Cohen E., Lotan R. Designing groupwork: Strategies for the heterogeneous classroom. 3rd ed. New York: Teachers College Press, 2014.

Cohen G. L., Garcia J. Educational theory, practice, and policy and the wisdom of social psychology // Policy Insights from the Behavioral and Brain Sciences. 2014. Vol. 1 (1). Pp. 13–20.

Common Core State Standards Initiative. Standards for mathematical practice. Common Core State Standards Initiative, 2015 // http://www.corestandards.org/Math/Practice.

Conner J., Pope D., Galloway M. K. Success with less stress // Educational Leadership. 2009. Vol. 67 (4). Pp. 54–58.

Darling-Hammond L. Teacher quality and student achievement // Education Policy Analysis Archives. 2000. Vol. 8. P. 1.

Deevers M. Linking classroom assessment practices with student motivation in mathematics. American Educational Research Association, San Francisco, 2006.

Delazer M., Ischebeck A., Domahs F. et al. Learning by strategies and learning by drill — evidence from an fMRI study // NeuroImage. 2005. Pp. 839–849.

Devlin K. Mathematics: The science of patterns: The search for order in life, mind and the universe. Scientific American Library: New York, 1997.

Devlin K. The math gene: How mathematical thinking evolved and why numbers are like gossip. New York: Basic Books, 2001.

Devlin K. The math instinct: Why you’re a mathematical genius (along with lobsters, birds, cats, and dogs). New York: Basic Books, 2006.

Dixon A. Editorial // FORUM. 2002. Vol. 44 (1). P. 1.

Duckworth A., Quinn P. Development and validation of the short grit scale // Journal of Personality Assessment. 2009. Vol. 91 (2). Pp. 166–174.

Duckworth E. Twenty-four, forty-two and I love you: Keeping it complex // Harvard Educational Review. 1991. Vol. 61 (1). Pp. 1–24.

Dweck C. S. Is math a gift? Beliefs that put females at risk // W. W. S. J. Ceci, ed. Why aren’t more women in science? Top researchers debate the evidence. Washington, DC: American Psychological Association, 2006a.

Eccles J., Jacobs J. Social forces shape math attitudes and performance // Signs. 1986. Vol. 11 (2). Pp. 367–380.

Elawar M. C., Corno L. A factorial experiment in teachers’ written feedback on student homework: Changing teacher behavior a little rather than a lot // Journal of Educational Psychology. 1985. Vol. 77 (2). Pp. 162–173.

Elmore R., Fuhrman S. Opportunity-to-learn standards and the state role in education // Teachers College Record. 1995. Vol. 96 (3). Pp. 432–457.

Engle R. A., Langer-Osuna J., McKinney de Royston M. Towards a model of influence in persuasive discussions: Negotiating quality, authority, and access within a student-led argument // Journal of the Learning Sciences. 2014. Vol. 23 (2). Pp. 245–268.

Esmonde I., Langer-Osuna J. Power in numbers: Student participation in mathematical discussions in heterogeneous spaces // Journal for Research in Mathematics Education. 2013. Vol. 44 (1). Pp. 288–315.

Feikes D., Schwingendorf K. The importance of compression in children’s learning of mathematics and teacher’s learning to teach mathematics // Mediterranean Journal for Research in Mathematics Education. 2008. Vol. 7 (2).

Flannery S. In code: A mathematical journey. New York: Workman Publishing Company, 2002.

Fong A. B., Jaquet K., Finkelstein N. Who repeats Algebra I, and how does initial performance relate to improvement when the course is repeated? (REL 2015–059). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory West, 2014 // http://ies.ed.gov/ncee/edlabs.

Frazier L. To raise student achievement, North Clackamas schools add lessons in perseverance. Oregonian/OregonLive, 2015, February 25 // http://www.oregonlive.com/education/index.ssf/2015/02/to_raise_student_achievement_n.html.

Galloway M. K., Pope D. Hazardous homework? The relationship between homework, goal orientation, and well-being in adolescence // Encounter: Education for Meaning and Social Justice. 2007. Vol. 20 (4). Pp. 25–31.

Girl Scouts of the USA with the National Center for Women & Information Technology (NCWIT). Evaluating promising practices in informal science, technology, engineering and mathematics (STEM) education for girls, 2008 // http://www.ncwit.org/sites/default/files/legacy/pdf/NCWIT-GSUSAPhaseIIIReport_FINAL.pdf.

Good C., Rattan A., Dweck C. S. Why do women opt out? Sense of belonging and women’s representation in mathematics // Journal of Personality and Social Psychology. 2012. Vol. 102 (4). Pp. 700–717.

Gray E., Tall D. Duality, ambiguity, and flexibility: A “proceptual” view of simple arithmetic // Journal for Research in Mathematics Education. 1994. Vol. 25 (2). Pp. 116–140.

Gunderson E. A., Gripshover S. J., Romero C. et al. Parent praise to 1–3 year-olds predicts children’s motivational frameworks 5 years later // Child Development. 2013. Vol. 84 (5). Pp. 1526–1541.

Gutstein E., Lipman P., Hernandez P., de los Reyes R. Culturally relevant mathematics teaching in a Mexican American context // Journal for Research in Mathematic Education. 1997. Vol. 28 (6). Pp. 709–737.

Haack D. Disequilibrium (I): Real learning is disruptive. A Glass Darkly (blog). 2011, January 31 // http://blog4critique.blogspot.com/2011/01/disequilibrium-i-real-learning-is.html.

Hersh R. What is mathematics, really? Oxford, UK: Oxford University Press, 1999.

Horn I. S. Learning on the job: A situated account of teacher learning in high school mathematics departments // Cognition and Instruction. 2005. Vol. 23 (2). Pp. 207–236.

Humphreys C., Parker R. Making number talks matter: Developing mathematical practices and deepening understanding, grades 4–10. Portland, ME: Stenhouse Publishers, 2015.

Jacob W. [Math Acceleration]. Personal communication. 2015.

Jones M. G., Howe A., Rua M. J. Gender differences in students’ experiences, interests, and attitudes toward science and scientists // Science Education. 2000. Vol. 84. Pp. 180–192.

Karni A., Meyer G., Rey-Hipolito C. et al. The acquisition of skilled motor performance: Fast and slow experience-driven changes in primary motor cortex // PNAS. 1998. Vol. 95 (3). Pp. 861–868.

Khan S. The one world schoolhouse: Education reimagined. New York: Twelve, 2012.

Kitsantas A., Cheema J., Ware W. H. Mathematics achievement: The role of homework and self-efficacy beliefs // Journal of Advanced Academics. 2011. Vol. 22 (2). Pp. 310–339.

Klarreich E. Meet the first woman to win math’s most prestigious prize // Quanta Magazine. 2014, August 13 // http://www.wired.com/2014/08/maryam-mirzakhani-fields-medal.

Kohn A. Punished by rewards: The trouble with gold stars, incentive plans, A’s, praise, and other bribes. New York: Mariner Books, 1999.

Kohn A. The schools our children deserve: Moving beyond traditional classrooms and tougher standards. New York: Mariner Books, 2000.

Kohn A. Teachers who have stopped assigning homework (blog). 2008, September // http://www.alfiekohn.org/blogs/teachers-stopped-assigning-homework.

Kohn A. The case against grades. 2011, November // http://www.alfiekohn.org/article/case-grades.

Koonlaba A. E. 3 visual artists — and tricks — for integrating the arts into core subjects // Education Week Teacher. 2015, February 24 // http://www.edweek.org/tm/articles/2015/02/24/3-visual-artists-and-tricks-for-integrating-the-arts.html.

Langer-Osuna J. How Brianna became bossy and Kofi came out smart: Understanding the differentially mediated identity and engagement of two group leaders in a project-based mathematics classroom // Canadian Journal for Science, Mathematics, and Technology Education. 2011. Vol. 11 (3). Pp. 207–225.

Lawyers’ Committee for Civil Rights of the San Francisco Bay Area. Held back: Addressing misplacement of 9th grade students in Bay Area school math classes. 2013, January // www.lccr.com.

Lee D. N. Black girls serving as their own role models in STEM // Scientific American. 2014, November 25 // http://blogs.scientificamerican.com/urban-scientist/2014/11/25/black-girls-serving-as-their-own-role-models-in-stem.

Lee J. Racial and ethnic achievement gap trends: Reversing the progress toward equity? // Educational Researcher. 2002. Vol. 31 (1). Pp. 3–12.

Lemos M. S., Ver?ssimo L. The relationships between intrinsic motivation, extrinsic motivation, and achievement, along elementary school // Procedia — Social and Behavioral Sciences. 2014. Vol. 112. Pp. 930–938.

Leslie S.-J., Cimpian A., Meyer M., Freeland E. Expectations of brilliance underlie gender distributions across academic disciplines // Science. 2015. Vol. 347 (6219). Pp. 262–265.

Lupton T., Pratt S., Richardson K. Exploring long division through division quilts // Centroid. 2014. Vol. 40 (1). Pp. 3–8.

Maguire E., Woollett K., Spiers H. London taxi drivers and bus drivers: A structural MRI and neuropsychological analysis // Hippocampus. 2006. Vol. 16 (12). Pp. 1091–1101.

Mangels J. A., Butterfield B., Lamb J. et al. Why do beliefs about intelligence influence learning success? A social cognitive neuroscience model // Social Cognitive and Affective Neuroscience. 2006. Vol. 1 (2). Pp. 75–86.

Mathematics Teaching and Learning to Teach, University of Michigan. SeanNumbers-Ofala video [Online]. 2010 // http://deepblue.lib.umich.edu/handle/2027.42/65013.

McDermott R. P. The acquisition of a child by a learning disability // S. Chaiklin, J. Lave, eds. Understanding practice: Perspectives on activity and context. Cambridge, UK: Cambridge University Press, 1993. Pp. 269–305.

McKnight C., Crosswhite F. J., Dossey J. A. et al. The underachieving curriculum — Assessing US school mathematics from an international perspective. Champaign, IL: Stipes Publishing, 1987.

Mikki J. Students’ homework and TIMSS 2003 mathematics results. International Conference, Teaching Mathematics Retrospective and Perspective, 2006.

Moser J., Schroder H. S., Heeter C. et al. Mind your errors: Evidence for a neural mechanism linking growth mindset to adaptive post error adjustments // Psychological Science. 2011. Vol. 22. Pp. 1484–1489.

Moses R., Cobb J. C. Radical equations: Math, literacy and civil rights. Boston: Beacon Press, 2001.

Mueller C. M., Dweck C. S. Praise for intelligence can undermine children’s motivation and performance // Journal of Personality and Social Psychology. 1998. Vol. 75 (1). Pp. 33–52.

Murphy M. C., Garcia J. A., Zirkel S. The role of faculty mindsets in women’s performance and participation in STEM (in prep).

Nasir N. S., Cabana C., Shreve B. et al., eds. Mathematics for equity: A framework for successful practice. New York: Teachers College Press, 2014.

Noguchi S. Palo Alto math teachers oppose requiring Algebra II to graduate. San Jose Mercury News, 2012, January 14 // http://www.mercurynews.com/ci_19748978.

Organisation for Economic Co-operation and Development (OECD). Lessons from PISA 2012 for the United States, strong performers and successful reformers in education. Paris: OECD, 2013.

Organisation for Economic Co-operation and Development (OECD). The ABC of gender equality in education: Aptitude, behaviour, confidence. A Program for International Student Assessment (PISA) Report. Paris: OECD Publishing, 2015.

Paek P., Foster D. Improved mathematical teaching practices and student learning using complex performance assessment tasks. National Council on Measurement in Education (NCME), Vancouver, BC, Canada, 2012.

Park J., Brannon E. Training the approximate number system improves math proficiency. Association for Psychological Science, 1–7. 2013.

Parrish S. Number talks: Helping children build mental math and computation strategies, grades K–5, updated with Common Core Connections. Sausalito, CA: Math Solutions, 2014.

Piaget J. The child’s construction of reality. London: Routledge & Kegan Paul, 1958.

Piaget J. Piaget’s theory // P. H. Mussen, ed. Carmichael’s manual of child psychology. New York: Wiley, 1970.

Picciotto H. Lab gear activities for Algebra I. Mountain View, CA: Creative Publications, 1995.

Program for International Student Assessment (PISA). PISA 2012 results in focus. What 15-year-olds know and what they can do with what they know. Paris, France: OECD, 2012.

Program for International Student Assessment (PISA). Does homework perpetuate inequities in education? PISA in Focus 46, 2015 // http://www.oecd-ilibrary.org/education/does-homework-perpetuate-inequities-in-education_5jxrhqhtx2xt-en;jsessionid=f7tsdsj7up8t.x-oecd-live-02.

Pulfrey C., Buchs C., Butera F. Why grades engender performance-avoidance goals: The mediating role of autonomous motivation // Journal of Educational Psychology. 2011. Vol. 103 (3). Pp. 683–700 // http://www.researchgate.net/profile/Fabrizio_Butera/publication/232450947_Why_grades_engender_performance-avoidance_goals_The_mediating_role_of_autonomous_motivation/links/02bfe50ed4ebfd0670000000.pdf.

Reeves D. B. The learning leader: How to focus school improvement for better results. Alexandria, VA: Association for Supervision & Curriculum Development, 2006.

Romero C. Coping with challenges during middle school: The role of implicit theories of emotion (Doctoral dissertation). Stanford, CA: Stanford University, 2013 // http://purl.stanford.edu/ft278nx7911.

Rose H., Betts J. R. The effect of high school courses on earnings // Review of Economics and Statistics. 2004. Vol. 86 (2). Pp. 497–513.

Schmidt W. H., McKnight C. C., Cogan L. S. et al. Facing the consequences: Using TIMSS for a closer look at US mathematics and science education. Dordrecht, Netherlands: Kluwer Academic Publishers, 2002.

Schmidt W. H., McKnight C. C., Raizen S. A. A splintered vision: An investigation of US science and mathematics education. Dordrecht, Netherlands: Kluwer Academic Publishers, 1997.

Schwartz D., Bransford J. A time for telling // Cognition and Instruction. 1998. Vol. 16 (4). Pp. 475–522.

Schwartz L. A mathematician grappling with his century. Basel, Switzerland: Birkh?user, 2001.

Seeley C. Faster isn’t smarter: Messages about math, teaching, and learning in the 21st century. Sausalito, CA: Math Solutions, 2009.

Seeley C. Smarter than we think: More messages about math, teaching, and learning in the 21st century. Sausalito, CA: Math Solutions, 2014.

Selling S. K. Learning to represent, representing to learn // Journal of Mathematical Behavior. 2015.

Silva E., White T. Pathways to improvement: Using psychological strategies to help college students’ master developmental math. Stanford, CA: Carnegie Foundation for the Advancement of Teaching, 2013.

Silver E. A. On mathematical problem posing // For the Learning of Mathematics. 1994. Vol. 14 (1). Pp. 19–28.

Sims P. Daring to stumble on the road to discovery // New York Times. 2011, August 6 // http://www.nytimes.com/2011/08/07/jobs/07pre.html?_r=0.

Solomon Y. Not belonging? What makes a functional learner identity in undergraduate mathematics? // Studies in Higher Education. 2007. Vol. 32 (1). Pp. 79–96.

Stanford Center for Professional Development. How to learn math: For teachers and parents // http://scpd.stanford.edu/instanford/how-to-learn-math.jsp.

Stanford Online Lagunita. How to learn math: For students. Stanford University, 2014 // https://lagunita.stanford.edu/courses/Education/EDUC115-S/Spring2014/about.

Steele C. Whistling Vivaldi: How stereotypes affect us and what we can do. New York: Norton, 2011.

Stigler J., Hiebert J. The teaching gap: Best ideas from the world’s teachers for improving education in the classroom. New York: Free Press, 1999.

Stipek D. J. Motivation to learn: Integrating theory and practice. New York: Pearson, 1993.

Supekar K., Swigart A. G., Tenison C. et al. Neural predictors of individual differences in response to math tutoring in primary-grade school children // Proceedings of the National Academy of Sciences. 2013. Vol. 110 (20). Pp. 8230–8235.

Thompson G. Teaching the brain to learn // THE Journal, 2014, June 2 // http://thejournal.com/articles/2014/06/02/teaching-the-brain-to-learn.aspx.

Thurston W. Mathematical education // Notices of the American Mathematical Society. 1990. Vol. 37 (7). Pp. 844–850.

Tobias S. Overcoming math anxiety. New York: Norton, 1978.

Treisman U. Studying students studying calculus: A look at the lives of minority mathematics students in college // College Mathematics Journal. 1992. Vol. 23 (5). Pp. 362–372.

V?lez W. Y., Maxwell J. W., Rose C. Report on the 2012–2013 new doctoral recipients // Notices of the American Mathematical Society. 2013. Vol. 61 (8). Pp. 874–884.

Wang J. Opportunity to learn: The impacts and policy implications // Educational Evaluation and Policy Analysis. 1998. Vol. 20 (3). Pp. 137–156 // doi:10.3102/01623737020003137.

Wenger E. Communities of practice: Learning, meaning and identity. Cambridge: Cambridge University Press, 1998.

White B. Y., Frederiksen J. R. Inquiry, modeling, and metacognition: Making science accessible to all students // Cognition and Instruction. 1998. Vol. 16 (1). Pp. 3–118.

Wolfram C. Teaching kids real math with computers. TED Talks, 2010, July // http://www.ted.com/talks/conrad_wolfram_teaching_kids_real_math_with_computers?language=en.

Woollett K., Maguire E.A. Acquiring “The Knowledge” of London’s layout drives structural brain changes // Current Biology. 2011. Vol. 21 (24). Pp. 2109–2114.

YouCubed at Stanford University. Making groupwork equal. Stanford Graduate School of Education, 2015a // http://www.youcubed.org/category/making-group-work-equal.

YouCubed at Stanford University. Moving colors. Stanford Graduate School of Education, 2015b // http://www.youcubed.org/task/moving-colors.

YouCubed at Stanford University. Tour of mathematical connections. Stanford Graduate School of Education, 2015c // http://www.youcubed.org/tour-of-mathematical-connections.

YouCubed at Stanford University. Video: High-quality teaching examples. Stanford Graduate School of Education, 2015d // www.youcubed.org/high-quality-teaching-examples/.

Zaleski A. Western High School’s RoboDoves crushes the competition, stereotypes. Baltimore Sun, 2014, November 12 // http://www.baltimoresun.com/entertainment/bthesite/bs-b-1113-cover-robodoves-20141111-story.html#page=1.

Zohar A., Sela D. Her physics, his physics: Gender issues in Israeli advanced placement physics classes // International Journal of Science Education. 2003. Vol. 25 (2). P. 261.