Математическая грамотность. Минск: рикз, 2020. 252 с
ЧАСТЬ 2: СПЕЦИФИКАЦИЯ ИССЛЕДОВАНИЯ
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2-ex pisa
| ЧАСТЬ 2: СПЕЦИФИКАЦИЯ ИССЛЕДОВАНИЯ
МАТЕМАТИЧЕСКОЙ ГРАМОТНОСТИ Introduction 1. The assessment of mathematics has particular significance for PISA 2021, as mathematics is again the major domain assessed. Although mathematics was assessed by PISA in 2000, 2003, 2006, 2009, 2012, 2015 and 2018, the domain was the main area of focus only in 2003 and 2012. 2. The return of mathematics as the major domain in PISA 2021 provides both the opportunity to continue to make comparisons in student performance over time, and to re-examine what should be assessed in light of changes that have occurred in the world, the field and in instructional policies and practices. 3. Each country has a vision of mathematical competence and organises their schooling to achieve it as an expected outcome. Mathematical competence historically encompassed performing basic arithmetic skills or operations, including adding, subtracting, multiplying, and dividing whole numbers, decimals, and fractions; computing percentages; and computing the area and volume of simple geometric shapes. In recent times, the digitisation of many aspects of life, the ubiquity of data for making personal decisions involving initially education and career planning, and, later in life, health and investments, as well as major societal challenges to address areas such as climate change, governmental debt, population growth, spread of pandemic diseases and the globalising economy, have reshaped what it means to be mathematically competent and to be well equipped to participate as a thoughtful, engaged, and reflective citizen in the 21st century. 4. The critical issues listed above as well as others that are facing societies throughout the world all have a quantitative component to them. Understanding them, as well as addressing them, at least in part, requires being mathematically literate and thinking mathematically. Such mathematical thinking in more and more complex contexts is not driven by the reproduction of the basic computational procedures mentioned earlier, but rather by reasoning 1 (both deductive and inductive). The important role of reasoning needs greater emphasis in our understanding of what it means for students to be mathematically literate. In addition to problem solving, this framework argues that mathematical literacy in the 21st century includes mathematical reasoning and some aspects of computational thinking. 5. Countries today face new opportunities and challenges in all areas of life, many of which stem from the rapid deployment of computers and devices like robots, smartphones and networked machines. For example, the vast majority of young adults and students who started university post 2015 have always considered phones to be mobile hand-held devices capable of sharing voice, texts, and images and accessing the internet – capabilities seen as science fiction by many of their parents and certainly by all of their grandparents (Beloit College, 2017 [1] ). The recognition of the growing contextual discontinuity between the last century and the future has prompted a discussion around the development of 21st century skills in students (Ananiadou and Claro, 2009 [2] ; Fadel, Bialik and Trilling, 2015 [3] ; National Research Council, 2012 [4] ; Reimers and Chung, 2016 [5] ). 1 Throughout this framework, references to mathematical reasoning assume both mathematical (deductive) and statistical (inductive) type reasoning. 171 6. It is this discontinuity that also drives the need for education reform and the challenge of achieving it. Periodically, educators, policy makers, and other stakeholders revisit public education standards and policies. In the course of these deliberations new or revised responses to two general questions are generated: 1) What do students need to learn, and 2) Which students need to learn what? The most used argument in defence of mathematics education for all students is its usefulness in various practical situations. However, this argument alone gets weaker with time – a lot of simple activities have been automated. Not so long ago waiters in restaurants would multiply and add on paper to calculate the price to be paid. Today they just press buttons on hand-held devices. Not so long ago people used printed timetables to plan travel – it required a good understanding of the time axis and inequalities as well as interpreting complex two-way tables. Today we can just make a direct internet inquiry. 7. As to the question of “what to teach”, many restrictive understandings arise from the way mathematics is conceived. Many people see mathematics as no more than a useful toolbox. A clear trace of this approach can be found in the school curricula of many countries. These are sometimes confined to a list of mathematics topics or procedures, with students asked to practice a selected few, in predictable (often test) situations. This perspective on mathematics is far too narrow for today’s world. It overlooks key features of mathematics that are growing in importance. Notwithstanding the above remark, there are an increasing number of countries that emphasise reasoning and the importance of relevant contexts in their curricula. Perhaps these countries cab serve as helpful models to others. 8. Ultimately the answer to these questions is that every student should learn (and be given the opportunity to learn) to think mathematically, using mathematical reasoning (both deductive and inductive) in conjunction with a small set of fundamental mathematical concepts that support this reasoning and which themselves are not necessarily taught explicitly but are made manifest and reinforced throughout a student’s learning experiences. This equips students with a conceptual framework through which to address the quantitative dimensions of life in the 21st century. 9. The PISA 2021 framework is designed to make the relevance of mathematics to 15-year-old students clearer and more explicit, while ensuring that the items developed remain set in meaningful and authentic contexts. The mathematical modelling cycle, used in earlier frameworks (e.g. OECD (2004 [6] ; 2013 [7] )) to describe the stages individuals go through in solving contextualised problems, remains a key feature of the PISA 2021 framework. It is used to help define the mathematical processes in which students engage as they solve problems – processes that together with mathematical reasoning (both deductive and inductive) will provide the primary reporting dimensions. 10. For PISA 2021, computer-based assessment of mathematics (CBAM) will be the primary mode of delivery for assessing mathematical literacy. However, paper-based assessment instruments will be provided for countries choosing not to test their students by computer. The framework has been updated to also reflect the change in delivery mode introduced in 2015, including a discussion of the considerations that should inform the development of the CBAM items as this will be the first major update to the mathematics framework since computer-based assessment was introduced in PISA. 11. The development of the PISA 2021 framework takes into account the expectation of OECD that there will be an increase in the participation in PISA of low- and middle-income countries. In particular the PISA 2021 framework recognises the need to increase the resolution of the PISA assessments at the lower end of the student performance distribution by drawing from the PISA for Development (OECD, 2017 [8] ) framework when developing the assessment; the need to expand the performance scale at the lower end; the importance of capturing a wider range of social and economic contexts; and the anticipation of incorporating an assessment of out-of-school 14- to 16- year-olds. 172 12. The increasing and evolving role of computers and computing tools in both day-to-day life and in mathematical literacy problem solving contexts is reflected in the recognition in the PISA 2021 framework that students should possess and be able to demonstrate computational thinking skills as they apply to mathematics as part of their problem-solving practice. Computational thinking skills include pattern recognition, designing and using abstraction, pattern decomposition, determining which (if any) computing tools could be employed in analysing or solving a problem, and defining algorithms as part of a detailed solution. By foregrounding the importance of computational thinking as it applies to mathematics, the framework anticipates a reflection by participating countries on the role of computational thinking in mathematics curricula and pedagogy. 13. The PISA 2021 mathematics framework is organised into three major sections. The first section, ‘Definition of Mathematical Literacy’, explains the theoretical underpinnings of the PISA mathematics assessment, including the formal definition of the жүктеу/скачать 7,1 Mb. Достарыңызбен бөлісу:
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