【摘要】“乘法分配律”是四年级运算律教学中的一个重要内容,在简便计算中常常能见到它的身影。但是在运用它时,同学们经常将它和乘法结合律混淆。典型错误如“(a×b)×c=a×c+b×c”,“(a+b)×c=a+b×c”等。笔者结合自身在教学中发现的学生错误,进行了深入的分析和思考。
【关键词】 错误 乘法分配律 策略
数学这门学科,在理论上具有一定的抽象性,学生在学习过程中很容易出现认知的偏差,导致一些知识错误。面对学生犯的错误,作为教师,我们不能一味谴责,而是应该静下心来认真分析学生的错误,找出知识错误背后的原因,然后对症下药。曾经有一位专家就说过“课堂就是学生出错的地方”。我们要以宽容的心态来看待学生的“错误”,看到它的闪光点,让错误变成我们手中有用的教学资源。
一.聚焦学生的“知识错误”
在学习的过程中,随着学习内容的增多,大脑中的知识网络越来越广,学生会出现知识混乱,甚至在实际运用中会出现“张冠李戴”等问题。
例如,学生在单项学习“乘法结合律”时,面对“125×88”这个算式,学生立马想到把“88”拆成“8×11”,然后运用乘法结合律来简便计算,即125×88=125×(8×11)=125×8×11=1000×11=11000
同样地,在单项学习“乘法分配律”时,看到“125×88”这个算式,因为思维定势原因,学生照葫芦画瓢想到的便是把“88”拆成“80+8”,然后根据乘法分配律的特点来简便计算,即125×88=125×(80+8)=125×80+125×8=10000+1000=11000
随着时间的推移,将乘法分配律和乘法结合律混合在一起使用时,学生的认知里因为有这两个概念的存在,知识混淆现象就产生了。例如:错题一“25×(4×40)=(25×4)×(25×40)=100×1000=100000”,错题二“125×25×32”=125×25×(8×4)=125×8+25×4=1000+100=1100
二.分析“知识错误”的根源
(一)学生层面
这些错误,看似是学生的粗心和马虎造成,但究其本质原因还是学生对乘法分配律的结构特征认知不到位。因为认知不到位,所以看到有括号的乘法算式,立马想到去分配,生搬硬套,导致乘法分配律这个新知识对乘法结合律产生了逆向负迁移。
(二)教师层面
对于乘法分配律,学生在理解上产生知识偏差,这可能和教师的教学环节有关。教学时,教师基本都是按照“情境引入——列式解答——不同算法展示——观察两个算式的相同和不同之处——得出等式——根据特点写出其他类似等式——用字母式表示这个规律”这样的一个模式进行教学。在这样的模式下,学生实际上只是掌握了“乘法分配律”的外在形式模仿,并没有真正的理解乘法分配律为何要这样分配。
三.为杜绝“知识错误”出谋划策
教学中,教师能够为学生提供更多的素材,让他们结合具体情境,直观地去认识“乘法分配律”的内在特征,这对学生来说,就减少了混淆乘法分配律和乘法结合律的可能性。
(一)借助模式直观感知乘法分配律
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeUAAACGCAYAAADjJ5IiAAAgAElEQVR4nOy9+XMk533mOX+AY+zwD7srexUb0m5oxzEaH9KOQzOSPPZaliyraUu2dVAeWfZIIk1JlCxZJFsUyRHZvNkkm32xm82+7xsNoO4TqLtQBaBQZx51ou77viuf/aGqElWowtUNbgPs9xOREUAh85vf90VWPvm++b7v8+9AIBAIBAJhR/Dv7ncCBAKBQCAQuhBRJhAIBAJhh0BEmUAgEAiEHQIRZQKBQCAQdghElAkEAoFA2CEQUSYQCAQCYYdARJlAIBAIhB0CEWUCgUAgEHYIRJQJBAKBQNghEFEmEAgEAmGHQESZQCAQCIQdAhFlAoFAIBB2CESUCQQCgUDYIRBRJhAIBAJhh0BEmUAgEAiEHQIRZQKBQCAQdghElAkEAoFA2CEQUSYQCAQCYYdARJlAIBAIhB0CEWUCgUAgEHYIRJQJBAKBQNghEFEmEAgEAmGHsGtFmeM4tNptlKpVZEplpApFZEolFCtVNFstcBy35Xi1RgP5SgXpYgmpYhG5chnlWg2dzuZjcRyHdruNUrWGbC+vdKmEQqWKRrO5pbxa7TaKq8tX3Xr5OI5Ds9VaiVW8+1jtdgelWg3ZcjdOutgtW32LZQOATqeDcj9WoR+rgnqjseVYBAKB8GFgV4pys9VCIJmEjvFCSjEQuGlMu2kI3DQkHgYaxgs2Ft+UCHIch3KtBlsgBDXNQuxhMN2LJ/TQUNAszF4/UoUiOp3OurFa7TbC6Qz0jA8yiuXzmu7lNct4QUWiqK0jOl0BbSOQSELLeCEdiDNYPl88gcYGgspxHBqtFvzxxNhYUoqBther2WqtG6fd6SCaycIwpmxiD4MZ2gt3OLJu2fq0Ox0k8wWYvH4oaBbCVbHUtBeO0DLKtRoRZwKB8ECx60S5Wq9DR7EQ0V5I/SHIAstjNxHjg9pDo1CurCuA4VQaIqcHEl9wzVhSfwhCNw1HaBmtdntsrHqjARPrg5Bi181LzPqhcFHIFosjeXEch0q9Di3FbBhHRHsx46FRrFbHlo/jOJSqVWgoBiLau27ZREw3VrlWGxun0WrB4vVD4GE2LJvcRSFVKKxZ5612G7ZAtz7XiyXxBiB1eRDNZIkwEwiEB4ZdJcrtdhtKp5sXULE3gKmBm7vUH8K0m4aI9Xdv7L4gpA43ao3G2HixTBbTTg8vBNMeBiLGtyIMviAmXRQfX0h7sRQIjYhEu9OBxkND3D+vN4CpgeOk/hAEA7Gl/hAEdicqq0Sw3mhA5aZWysf6Mb26fB4GItYPqT8EqT8EhcuDSq0+UrZ6swmFyzMUa6O6ktidIw8drXYbJsa7UjZfEFOulRyl/hAEFAth7yFJ6g9B5HQjWyqN5MRxHBZ8Ab4eVsfq17Gg90Ai9Ycw7XAjXShs9VIhEAiEXcmuEWWO40CHIxD3BEkWWMYlgxlHpgSYctN86/jotBBnZ7VDLS6bPzgSr9lqQe1ZESmJN4B3BWKcVs7wn12bm8fBiUlM9oRb6g9B4qaRLQ4LTjCRhHig5X5tbh6HJqZwx+HmBfG4SIpTCvWQKM4x3iGBZ6IxCCmWz/2i3oQjUwJM98onpL04Oi3EOY2OjyNifHCGlkfK514OQ8z4eHG7oDPg8OQ0hL1Ws8DD4Oi0COe1hpWyeQNwBocfOuK5PKYHHjCuWxdx6M4Ubi85+bKdkMrxvkyxUpe+IIw0O/Lwki0WIXKvxJqwu3BoYgrXrYt8nu/LlXhPIoPYG+DzmvXQaG/w6oBAIBA+DOwqUTYy3qFWlcQbgLAnPCtdsT7+ht7/TO2mRuIVK1WIXNSqbtzusYPiIlzVTS7wMAgmU0OxFv1BviU57jipPwQR6x96oOi3cgdbpnpquHtY4u22KseVb/CzGTc1IoA6ihlqza4Xa7AOtBQz9O7cHggN7SPxBbtxBmKvLpsssAyZi0K92RzKiY3GhupJ6g9ByPi6PRo9URazfr4ngG/RLznRWOedN4FAIHxY2FWibFolypvZ+qK1mmKlCvGAKG92E3gYhFLDomxbJcqbzWu1KBuo9d/ZrhVndpwo08xd1ZVulSg7gstDorzpzeVBYwNR3mxOAiLKBALhAWFXibI3GucHeEl8wTVFp//3fvfquO7dZqsFzaru67UEcbAlJ3VTyJfLQ7HCqTREPUGVbjIviS+IBZ9/SEx98QQEHmbonBvFEdFeeMKRkfLRkSg/wGvTsRgf6HBkKKdUvgDBYPf9emXr1aHYG8Cc1zfyoJAvlSHqdYVvGGugJa5f9aBAIBAIH1Z2jSgD3UFH/QFVItaPWzYHJp0eCGkvRIwPQsaHSReFW4t2iBgfJN4AlG4K9TEDvTiOQyKXh8jlgdQfwpSLwi2bgx/sJWJ8EFAsbi85MWF3dbtpKRbu5cjoQK92G0bGC3GvO/iWzYE7DvdQXlO9vAQU232gcLpRqQ8P0Ko3m9BSTLermfXj1qJ9uHy0F5NOD24OlG/GQ6NaHy1fvdnELEXz3dZ8XfXK1o81WFcql2dkalSr3YbV54e41808Ujbaiyk3jZsDZZO7KeRK5ZGcOI6DPRiCiO7ud3vJiYkl51A9Tbvp7v+hNyhN6HQjWyyREdgEAuGBYFeJMtCdEmVkvN2BVb4gL8T9TUh3u7jFjA8aikWxUl0zFsdxiGWzkLo8kHgDkPiCmPYwfKwpFwWxNwCJNwCxh4Y7HFl3SpTF54e4J0yiVXnxYsx2p2qNE61++fQ0u1I+2jtSPqk/BDHjhZZmUKquXb5yrQY944W41+0/NlavrnQ0O3ZKFNDtVVjwBSAaKNtUP47Tw0+VkrB+qNw00oXR6V59Wu02HKEwxJ5u97qY9XdjOT2YdHow3ftcwvohd1NI5HJrlo9AIBA+bOw6UQa6K0GF02kYWR+ETndvupEXAg8DgcMNHeNFIJFEew0BHaS/kpcrHIHCTWPa6YGwNw962kVB7HRjIRDcVGut0xN5s9ffzctNQ0R385p2ujFLM/DG4mi11s+rw3FYTqWhZ7wQOFbFcbihpb0IJpObGpHc7nQQSqVWYg3WldMNPeNFMJnaMFa3ZyGHOa8fIqe7O52K9kJIsZh2uKH2MGCisXUXIRmMlSkWMe8PQux0Y9pFrcRyeqDy0PBEomN7OAgEAuHDzK4U5UE6nQ6KlSoyhQIK5cqmhHg9Gs0mcqUSMoUCqvX6XXebdjrdxTvShQIK5TJa7fZdxWp3OihWKsgUCijeY/n6sdL5AoqVyl1PM+r0VkHLFArIl8qbEuK14DgOlVodmUIBuVIJjebWl0glEAiEDwu7XpQJBAKBQPiwQESZQCAQCIQdAhFlAoGwbYRCIbhcLrI9AJvP5yNTFT8AdqUo980WQqk0FgMhGL1+GFgfrP4gfIkk8uXKpi+WvgVkulgEFY3B4gvAwPpg8vqxFFpGNJvblPNRP1at0UAsm4M9FIapl9ecLwAqGkO6WFxz9PbqOJV6HeFMFrbgMh/H4guAicWRLZXQ7nQ2lVOH41CsVhFMpbEQCMLo9cHI+jDvD8KfSKJQ2VxdcRyHar2OSCaLpXvMqW9ykcwX4ApHYfZ1Y5m9frjCESTy+S3bXBJ2Bt/97nfxuc99Dl/72tfIdg/bV7/6VXzyk5/E5z//+Q/0PB//+MfxxS9+ceizr3zlK/i93/s9/M3f/M26xz755JOorjP7g3B37DpRbjSbcC6HoRjjFNVfOlJKsVjwBze0/uM4DrlyuTttiGJGlsGU+IIQUixUFINAcv3R3O12G4FkEmqKhbA3dWgwLzHrh5hioGe8SI9xiOrTarfBxuJQ9pyiBhf+6MeRUCxMrA+FytoOWEB3mpYjtAw5xYwsF9qvKxnFYjEQXHdQ20Y5iVg/JBSzqZy6I9Rz0NAsRBQ7smSoxNudejVLs4hksugQYd5V7NmzB++++y5arRbZ7mErl8vYs2cPTp48+YGe56Mf/Sh0Oh3/e61Ww8mTJ/GRj3wEMpkMzWZzzWPbdzl4lbA+u0aUOY5Do9mClmKGjBZWCw2/hrI3AKWbRqFSWTNeLJuF2OkZOm6teEIPg6VgaKwwdzodLAVCEPXm664XR+oLQuyiEElnRi7oZquFeV+AN6VYKw6/SpfTs+ac4FqjAc3Ag8ZGdaVyU2PnKTdbbcz7N5eT1BeExOlBKj/eupHjOHhjcYh6C4OsjrU6L5GbBhONkS/+LmLPnj04fvz4/U5j11Or1fDQQw/h9OnTH+h5PvrRj8JgMPC/Lyws4Jvf/CY+97nP4eGHH0Y4HP5Az08YZVeJ8rzXz6/DLGb9uKg34bp1kb+hT9idOK/R805IEl8Qardn7E29XKtBMmDbeMfhxrlZHQQ98ZH4grhsnMNVs5UXDoGHQSCRHIkXSCQg7C2PKfWHcM2ygIt6E3/ctIfBOY2ed43qmiw4hgwbOI4DFYkOuURdMphxxWzlW91TbhrnZnW8a5TUH4LSTY2s6MVxHMysd6iuLuiMuDFv42PftjlwXmuAcMBGUbNqDW2O40BHhp2rLhmHc5p20zg7q+OdurprelOo1kftJNOFwtAymzcX7Tiv0Y3keXNhaaWenB5k1lmMhLCzIKK8PdwvUaZpGvPz83j44Ydhs9kQjUY/0PMTRtk1otxqtTFps/NC17+BX7MsrAjNkhNnZ7S8KMsCyxB6GCTHrArFRGND+91xuHF2RovpgbWnLxrMuGyyDHWvql2ekXew6t5Snf19rpqtuKAzDohyV0wn7K6h9bRdAzaJjWYTSvewQcZFvQlXTBZeACddFM7OaDE1YKQx7aaxnE4P5VNrNDC55OTPL2L9OK81DD3A3Fq045xGx9eB1B/CnSUnSgMroDWaLSgGrBa7DwomXDbNrTwouCicndFgclVOq007AMDqCwxZMt5cWMK5WS3v6SxifDiv1Q89PEj9IZhXWVwSdi5ElLeH+yXKAJDJZPDwww+jQRbvuS/sGlEu12qY6Hn4ru7mXPczbwDeyOjT3rzXv+6xa3Zpj3E/Ei45xh63Ua5WdsW0oVipQOah1+zKXSuOkPHBvcqQIpXPQzAQa7M5CSgWkdSKwJcq1bvKScT44Foe7fbSeGje8nGzsaR+4qe8myCivD0QUX5w2TWi3Gy1hlrKm90221LezCb1d72ZVwvEYEt5s9vqlnJ9TEt5M1u3VTrcUq7W65iyO7eUk9Qfwh27C8WBd/D91vtWyzbtpkc8pwF0jS22aAMp9YdgYljSUt4lEFHeHogoP7jsGlHmOA5zvfekUn8IAg8DYW/A1+ANXMT6Md03SPAFoXaNiigAFKtVSHqDvCTeAKbd9Ih9o9QfgoBi+ZHLQk937erVAuGNxSGi2O4+tBeC3s+DcSTeQNdsoZ+/3YVKbeW9K8dxcC2H+RHlAto7dsS02BvA1MBAKYWbGorTj2Wk2aG6Em2irlb7MnMcB3c4wuextZxGB40lcjl+kJe4d+7V9o19U5D+ADWBq2tKQUR5d0BEeXsgovzgsqtEuVqvY7Y3olhIe3HH4catRTtu2xy4ZXPg1qIdE3YXBL2pNgoPjWyxtGa85VQaYhfVFQI3jdtLTtyyOXC7t/XtDsWsHyLai3l/cOw6z+12d4SyiGIhYv1d+8je8XzMJSem3TTE3gDEbhrBMQPGGs0mTGzXAlLE+LrWiv04A/H6YiZ1U4hlxwtWuVrDjGe0rvhYg3XF+rsj1cujI9UbzSbMrA+inr3imjm56YGcsmuOvnaHIxB7GF7Ib6+qp1s2B+/OJaZYOEPLRJB3EUSUtwciyg8uu0aU+9QaDdgCIUh74tyfM8tPN/J25/Gavb6hrthxcByHVKGAGQ8Nac8LuR+n33qUsH7I3BSYaHzdhT9a7TaYWBxyDw3J6rx6LWUJ48MsxSCRy68pNM1WC+5wBBL3qji+YK98AUgYL7Q0i8w6850BoFKvYyEQHFtXfdtEKcVizutf1wKy2WrDHY5CuionyV3k1HfAUnkYSFgf33PA13mvnpQeGoFkigjyLoOI8vZARPnBZdeJMtAV02KlAjYWh8UfhJbxQkOzMPdWztqMzeIgnU4HsWwWjuUIjF4fNDQLHePFQiAEfyKJ+hZX9AokU1gMhqDr5WVgfXAsRxDP5jZtJ1mp1+GLJzAfWIlj7K14lVxH1MfFKpQrYGJxWPyBXl15+VXGcqXN1VW/p2KtnNZ70BhHs9VCJJ3BUigMPdutcz3rw1IojOV0Go17cJ4i3D+IKG8PRJQfXHalKBMIhJ0JEeXtgYjygwsRZQKBsG0QUd4eiCg/uBBRJhAI2wYR5e2BiPKDy64XZY7j0G63+cXR73VgUKfTQavd3rTj0bp59WJ17iHW6jj3Qr+uWvdYV9udU2cb6omwMyCivD0QUX5w2ZWi3Gq3kcwXsBRahoZmoaAYKCgGMxSL+UAQ0Wx20wOF+gOYgskUzF4/1L1YSoqBjvHCHYkiVy5v2iYxVyrDE41Bx3ihpBgoPAxUFAOz149AMoXKOm5MgzllikU4lyPQMl4oPd04aorBnM+P5XRm04PPWu02Evk8bMFlzNIsFL1YMzSDhUAIsWxu7DSv8TmV4AyPyymAUDq9JYvLUrUKbzwBA+uDaqCeDKwPbCyOYqVKBHoXQkR5eyCi/OCy60S5WKnC5PVDTLEji330F58QUyy0DItkYbxbUZ9Op4PlVBpKDzNiA8kvjMH6IaUY2IPLQwYSq6k3m7CHliH1DFtADi3WQXeFOpBMjrUk7D8gzPuDkFDMkK3h4DKUIoqFmmIQza5tbchxHPLlCoysb2xd8dOiqO5I87WmMnEch2qjgYXN5pTJotNZu85b7TboaAxyanRBE76eGB/kHgaeSHRT/tOEnQMR5e2BiPKDy64R5X7rSu7yDM2TXe1b3Bef7kIWNOJrLK7R4TiwsRhEHnpoLvHgOsz9+H2hMLLescLcbLVgYLy8peR6eUn9XYtHOhIdyatar0NLd0W9/4Ax4qc8GMdFIbTGXN5cqQy5m1qpK29gZN3pobpyUUgVCiNxqvUGtDTLm0ZsJqfgGjl1Oh3YAkF+9bOxdT4Yi2Kx4AsQT+VdBBHl7YGI8oPLrhJlPbWyLKOI8eGMehaXDGZeaG7M23BSroSgb6PoC0LmcI1dZjNfLkPkdPPH3rI58L5MyTswib0BnJ3R4oLWwIuGkGbhCUdGBMcTjkDMrNhFXtQbcVo1yx836fTgpFyFW4t2Xnym7C4UBxyZOI7rClbPSlEWWMaZGQ3Oaw18mSfsLrwvUw5ZQEpdnpGFPziOg8ZD88cJGR9OK2dwxWThY1+zLOCkQs1bVUr9ISgcriEB5DgOS8HQUE5nZ7Q4r9VD0lvD+o7DjfdlSkw4VupS6vIMla1PJJ2GcMBz+urcPE7KVbx9pJD24rRyBlfNVj6naQ+NSCpNurJ3CUSUtwciyg8uu0aUG60W7vRErS9+160LuD3gHDXlonDVbOVbdbLAMkQ0i+gqa0MAcC+Hh8Rm2sPgitnCfyb1BXFj3oabi/ahlpzS5RlZAEThdA/tc8vmwHXr4oqYMz5cNVt5W8j+fnZ/gBebWqMB+SpDitXnF9JeXDFZhow0pj3d7vBBytUapgZtIr0BXLMsDFlHTro8uDo3z7fK+wKbG1iWtNZoQHGXOfkTwzkBgLm3ghdvgOH0DHkzS7wBXJub5x86+vsZaJa0lncJRJS3h90syhzHoZBNIl8i40Luhl0jypVV1o2D7zNXfzb0uzcA3xij7tXWjWOPHRNftoF143p5rd7HMmLdyGy5fELaC88q68Z0Pg+Be7zl4nqxRqwbq1XI17BuXC/O2taNzFjrxo3qiVg37h6IKG8PO02UuXYTSwY11EZ7d8XBdAhXLp7HuXPncH1Sgmy5gXazDo1kEhZXAJOnfo0nDtyA0yTFS/uPIVtZezwOYZhdI8rtdhuCVeK3mU3g8gy1/vr4E8mhlutmNqk/BI2HHmm1aQe6ije7iVk/2IH3ys1WC+q7sUl0UYhmskP5NJpNTC/dhXXjkhPV+orjVKvVvruc3DQiq3ICAFsgONQy32xeVq+PPHHvEogobw87SZQ5rgOr/Ao++X/8b/j7H76CVqcD5YVX8X9/6rP41397Am8cPo14vopGowbvghzfeexpXDq8Fz94ej9+/dxzUBkXEY7ESW/XJtk1osxxHJzBZX6U9JSLwlTPdakvGn3bv8me85PYG4CBHu/FW63XoXRR/EClO07PkOVi39pw0kXxnwtdFCLpzEisSDrNWxIKKBaTLgqigRHY/Oc9xympPwSJ3TU0FYnjOPjjCf6d67Sb5t2S+Di+IAQUizsON6S9AVcaihkZfMZxHGz+ID/wbNJFjVhT8nXVs68Us36YWe+IdWMgkYSwNxiOz2mwbIM59QaNzY7JCei+x5f0vKdFjA93nB7eCrK/CXtOVH1bToHDPda9irAzIaK8PewYUeY4eBeU+Idv/C2+9F8/g689+hKazQae//5f4RN/8Mf4iz//f/H4s28jmS8jHgnB62VhnpnGX/2XT+Jj/+nzuDitgtthg9E8j1qL9HZthl0jykC3NWnx+iHq2Q1OexhM2F1DNolTbhoi1g8x44OO9o54DffhOA7pYhEKN83bG066qBUbSJsDdxxuCHrTicQeGnQ0NrYbtcNxoCJRSHqWhH2RujUQa9JFQUh7IWb9kLsppMeMdG6123CEliHq+S4LxpXPRUHE+CBm/ZihGOTL5bHlazSbMHu7lpP9uhq0RxysKxHthZ7xojbmHVK73YZzObxuTpMuCsJeTmqKQa40Pqe+XabM032YEtLeISvIfp0L6a5vtsRDI5RMrXdJEHYYRJS3h50iyuWkF9/58p/iR3v34Xt//ef4k68+CnY5CvGNM1Ca7LDKr+M//+EfQWDuerEX0xG8vPen+Onj/4hvPPIEnn3pLTh8MdJK3gK7SpSBrnD54gmoKaZrt8j6u3Z/3kD3594cV3c4uu68YmBlmtW8PwgZxULcj9drZYsZH6SMDxqKRTybW3f1Ko7jEMvmoGW8kNLd6VFib4C3SBQzPsgoFlZ/AMXq2gMgOp0OIpkM1H07SXY4joT1QUYxWAouo1JbfyGSZqsFNp6A0rN2XSkoBlQkNvKefDSnLNR8nFU5MT7IPAyWgqENc+ovQmLy+iCj2eF66tW5jPbCwHqR3sAGkrDzIKK8PewUUc6GXNj7o3/BP//TP+L/+Q8fx8f+42dwU67D0//0JTz0jz/Gr5/8If7kC1/FgjeOeIjBmaMHIZi1YuL9Z7D36DQsagGe+rdf4NQ1IQoVMpp7M+w6Ue7TbLUQz+bAxBOwL4exFAqDisYRSWc2vbJUn744h1JpuCMxLIXCcCxH4EskkcoXtrT8Y6fTQbpQhC+RhCMcwVIoDHckilAqjdI6Yrw6n3ang0QuDzaegH25G8cTjWE5nd5Q+FbHarRaiGVzYGJxLPXqio7FEclkUW82N51Tp9NBMpeHN56EYySn2pbrPF8uI5BMwRmJwhZahjMcgT+ZQq5UIk/WuxQiytvDThFlnk4TOtEEbgi16HAcMhEfTr97EG8dPAqLy4d6rQKG8iCd765+KLn0Bt44q0Cb41BIx7DkpNAg3debYteKMoFA2HkQUd4edpwobwGO41AtF1CtN0EerbcOEWUCgbBtEFHeHnazKBPuDSLKBAJh2yCivD0QUX5wIaJMIBC2DSLK2wMR5QcXIsoEAmHbIKK8PRBRfnAhokwgELYNIsrbAxHlBxciygQCYdsgorw9EFF+cCGiTCAQtg0iytsDEeUHl10tyhzHjd22M979jvVB5rNdOe2EeiLsDIgobw9ElB9cdq0oNxotuFwxWEwUrCYH5k0OWEwe2O0R1GpbtwkrFutYXAjBYnRj3uSA1eiAxUyDopLodLa2UlUqVcG8xQ+L0YkFswMWoxPWOS9CwdwWVgbjQHmSsJpoWI398rmxuBBCqbS1Fcvq9RacjhgsJg/m+bqi4HREUau1Ng4wQCZTxYI1AIvR1Y1jdMBqZuHzZbYsqLVaE0u2CCxGz0qdmyi4XXE0Gu2NAxB2HESUtwciyg8uu06U6/UWrGYWWpkayy4l0j4VMgNb1KOEXqGE2UChVNr4osrna9DNLMGskiPBDMfK+FQI2pVQS2ZhX1pGq7W+UESjeWiUVixq5Uh7h+OkfSpQFgVmZHrQVHxNAWu1OrDbQlCLZxB0KEbySTIqmJRy6GbtyOdr6+ZTrTZhMTHQyVSIuJUjsSJuJfRyFeZMNKrVtR9kOI5DIlGCVrWAeY0cSXZV2bwqsAsKqCU6UJ442u31l9MrlRowGzzQyZWIUaP1tOxUQiNTwzrnRbNJxHk3QUR5e7hfomy32zE3N4eHH34YBoMBoVDoAz0/YZRdJcqVSgNq6RyCdiVyARXyQfXYLRfo3djlJmSza9v+RaN5zEg0SDDrx8v6VaCtChi0jjVblrQnBpNKjRS7dpx8UI2MTwWHUYk506ilZL3Wgm7GDmZesWH5ErQSM1ItYrFRtykAKBRqmJWbEXRsXFchpxIzMhMKhVGR5zgOPl8KOoUaSXb9WBm/Cg6jAlYzs6aYZjMVzMqMWHZunFfQoYRSYkG9vrXWPOH+QUR5e7hfouxwOPCNb3wDn/nMZ/Ctb30LsVjsAz0/YZRdI8ocx2FW6cCysytYUY8CsonbMCkE/I18USOC8PpNRFwK5INqRNxKKCXWsa3ScrkBlcSIlLcrDOyCDILrN0BZJLx4asSTkE1MIBdQIRdQwT0nx4LFNxIvlSxDK59BxteNZdeLIbh+AyGHHPmgGklGCdnEbeikU3ys+VkZWCbFx+I4DtY5LyiLnC+P9PZtaMSTfFzPnASC6zfgXZB147JKqKUmlMvDPQIcx0EtX8SyS4l8UI2oRwHxzVuwqIV8bOuMEOJbtxBxd+sz7FZCKV0cKVsuV4VaMouMv5uDyyTG9LWbCCx1c0ixSignJzArmuTLtqhVgHJHR+q83e5AJbUi4qnnaD0AACAASURBVFb2/j8KCK7dxKJGxAu0UT4N2cRtxChl7+FKAc2Me0uvEAj3jz179mD//v1IJBJku4ctFArhS1/6Et55550P9Dy/8zu/A6FQyP8ejUZx6NAh/PZv/zZu3bqFeDy+5rHlNWxjCffGrhHlWq0F2aSUv3mHHApcP3sVsok7vNBoRFM4/95lXjByARXm1HJEo8WReH5vEotaGX+s3SDBhROXsKgVIR9UI+1VYerKLVw9fY0/Zy6ggkqsHenqNRsYhBwKPpZBJsCFExd58YxTSlw9fRXC67eHYsnFVr6rt1RqYEaqG2o9Xj19FVNXbyHt7X62MCvC+eMX4TRK+X0WtDL4vcmhfHK5GjQS2UBdyXH51BWopib549TTk7h08goCS3I+H7VAgmJx2H/athAAu7DyoDCnEuL8e5dAW7s5xGklbpy7jskrN/nzZXwqyEWmkW7sUCiPBe1KCzlol+P8e5egEU/zn0luT+DamasI9x6scgEVFNMKVKvk/dZuYM+ePfjUpz6Fv/u7vyPbPWxf/epX8ZGPfASf/vSnP7BzfPnLX8Zv/MZv4Etf+tLQ53/913+NP/qjP8LXvva1dY+/devW/b7cPpTsGlHOZCowykXrdg2P25ZdKlgskZF4toUAL0hb2eZmZxCPl4Zi6WeXEKeVW4qTC6igFOn4rtl4vIR53eyW82HmZVhaDAzlw7IZeCxbL5vTKAXDZIZizSidyPrX75Ift6nFsyMPLzZbFCHn1uLkg2poxGLkcmu/hiDsHPbs2YPXX38d0WiUbPewBQIBfPGLX8SBAwc+sHPcuHEDv//7vw+GYe7q+FKptPEFQdgyu0aUy+UGlFPidd9DjhM+u1EOrzczEo/yROEwSLckDrmACrPS2ZHWpEHr5lt2W4mlEJnR6nmM5nI16OQa5AJbEyy7XgqWHn7vE4+XYFRIt1xXOqkY6fSw+JkM7FAvwGZjyYV6vmx9aDoNl/kuHl4EMpTLw3VO2Jn03ylzHIdms4nGFr3NH2Q6nQ5qPV/ywXfKHMehXq+j1Wrd8/TDfhwAUCqV+PSnP03EdYexa0SZ4zhIBXNIscrewCsZMj4V/x6zv2X9KvgW5Uj7VEh5VZBMace+j8znqlCLZ5ALqJBklWAXZMj6R+NlfCp4F7pdwSGHArpZ18gXIxjIwjLTfTcbcSsQtCvGxopRSoQccuQCKrDzcsxbl4feKWvUToRd3TjrlY+Zl/G/z0g0yOWqY+rKiCTbHZ3OzMuQWbNscmT93boSTxpGypZMFKGVKvmyhRxyvmx90cwFVEixKvhs3bJRVjnmrf6ROm+12pBN65D2qpBilfCuUedp70qdZ3wqyETzG47oJuwM9uzZg8OHD8NsNuOpp56CRqNBu91Gp9Mh2wZbNpvF888/j/PnzyMej+Ohhx7C8ePHoVAo8POf/xwej+ee4rfbbUxPT+O5556D3W6HXC4norwD2TWiDADZbBVywSySvRv6jFAIrVgIvVQEvbT7s1oggGdOhpRXBY1UjUg4v2Y8hk5AJ++KoE0rwYxQAK1kJZ5GLIRaIETYpUDErYBKYkapNL7FZp3zwaZTIO1VYU4lxqxQCJ1ECL1MBJ1ECI1ICJ1UhDithN+mgEIyOqiqVKpDLjIh6lFi2anAjFAAjVgIvbSbk1YixIxQiCWdBLmAClqZAl42OTafeLyIGUm3rhjrYF0NxBIIQVtlSLFKqMUzSCRGv5wcx8G2GML8bFdwR8om7ZZtVihEglbCvyTHrNK25ij1cDiHWekM0l4VPHNSqAWCgf+hCFpxt4y+RTlSrAqSydk165yw89izZw8+8YlP4Dd/8zfx9a9/HXv37iXbFrbHH38cH/vYx/DJT34SH//4x/G7v/u7+K3f+i1873vf25b4Tz75JB566CH8+3//7/GFL3wBn/rUp4go7zB2lShzHId8vgat2oZ5jQJJtjv3NuXtbunePFebTg6tyopksrRudw/HcYiE85iVGeEyyfg5t/14GZ8KCUYJk0oBo9aNSmXtrrhOhwNNxaCV68DOd1uT/VhprwoZf3cksUGphsXsRbs12vLjOA7VahN6jQtmlQIJRjmUUz+O0yjDrMyESHjtxUg4jkMmU4FOvYgFrZyvn8G6SnlVWNDKoVUtIJ0ur1s2L5uCRqYDbR1TNp8KUbcCeoUKVjOLen3tbjaO45BKlqBVzsOmk4+t8ySjxPysAlqVbeRVAWFns2fPHuzbtw/Hjh3DI488AoPBgEqlQrZNbIlEAs899xyeeOIJaDQafPnLX8YLL7yAV199FY8//jhcLtc9n0MgEODRRx/FyZMncfPmTdJS3oHsKlHu02q1kUwWYDHRMGmssOpMsOqMMGksMOs9iEVzm14RqvuepYVQMA2j1gmzZg7zOhOsOhOMmnlYzV7kcpVNdZ9yHIdKpQGWicOgWYJZa8a83oQ5rRlGzSIcSyEUC9UNp/d0Oh3ksmVYzSyMs/Ow9PIxa+Zg1DqxHMqsK3yDNJttJOJ5zBkpGPm6MsGksWDOSCEez29qgY7+A4OXTcCotXfrSW+ERWuGcXYBtoUAisXapqYucRyHRqONWDQHk94Dk8bC52WctcJiYpBKFUfeSRN2Pv13yv3u2EKhQN4pb5JWq4V4PI56vT70TrndbiOZTKJSqWyxLjm06lUUy1V+CdtcLodcLodOp0PeKe9QdqUo9+E4Du12B7VaC9VqE+12554HQrRaHVSrTdTrrXuaG9sd6NK+51idTvehoVptotW6+/Kt1FUTtVrrnupqu8o2mFe1eu95Ee4/N27cwMLCwv1O4+7gOCQjIcRSeXTabbTabdyvK7HRaOCZZ56BWCzmP2s36/BRDmi1etCBCNodDp12A4zLBr3ehEgq3xPfDpYZJ+aWaMTdGjzyk6ewHAni1ImT8MXzfJmIKO9MdrUoEwgEwng4lHMJqKXTuH5rCr5wd6GeTCyAOzevYkqsQjpfAccB7UYZCtEUbFQQ51/Zi3evazEnu46DZ26hcp/WYO8+rHYHyPXLI7/8Dv70T/8c//0fHsbn/uQLEJlo6G4fx2c/+2f49te/hq988/tgYnm02y0kAw784B+/C7X0Jv7+u9/HqSP7ceD4FYSiSTR6PVDJZBIqlYofjU3YGRBRJhAIHzrazTKef+zv8Jd/+w/4zjf/Gv/4k+cRS4Txw6//Of72uz/C3/3ln+CH//NdlOpNNBp1GEUX8JNfvYXDex/Ds68exbO/egGGRTcS6Rw6O6Lnpg298Bpuy/VYpubwpT/+NI7fmMFPv/kneOSFC8gsO/Bnn/lPOCWxoJTPYHl5GfYFCw48+xg+9n99As8fPAevzwu9TodUobrx6Qj3jV0ryv33krVaE/VaA7VaA/X63Xd/ttsd1OutbpxaA7VaE43G1ucF9rtjR2O1txRrvfJtle2sq3a7g3qteU9l6+fU75pfyeveu8MJBAAoR234xP/6v+Dbj/wY//LoI3j38jRYmwr/4f/8KAz+AgzXD+LTn38IgUQOqUQMsWgE81oR/uLTv4dP/pe/hNrqho9yYMFBoblDpuN1Oi0w8xo8+vBX8diTryKWTuOfvvIH+Pk706hmA/jSn/4hDvemNXZaDegFZ/HoD76LP/viX+AXe1+AwxdDp0PsUXc6u06Uu4MVqjAZaBhnTDCr1bDMKDCnVsA8o4FhdhGUJ7EpwekLA8umoZ9dhGlGizm1EtZZBcxqFUwzBhi0bmSz1U3HYpgk9LO2XiwFLHwsI0x6CpnM+oM1+iPMDVoKplkjzGpVr3xKmGe0fPk24z3cH4Ft0lMwzXRjdcvWj2UDQyc3/KJ2y9aByxmDYWYe5hlNt2wzCpjVaphmTTDqmE1bSnIch+XlPPQaB0wzepj5OlfCNKOHQetEJEIGCBHunmLAjN/97d/Ej184jPfffBaf/MP/hjuTV/GJj/3vmFsuY/7OMXzqs38Jf7IIjuNQTAXwy8cfxb98+1v44U+ewFP7DiNZqO2ca5DjMK+4jP/8+/8RP37mDchVM/CGIjj45LfxXx/6Pi6eegd/+AefhmzBj1ajCsn1s3jxjWOg50T41iM/xYJJgR8/+j9w8NR1JPKV+/aunLAxu0qUOY6DxeyFQaHg14Met3kX5FBJTUgm1x/AUMjXoBDPgbasrBM9bkUpk1KGOePazkcAkE5XoJLOgZlfe3nLjE8Fk0oOk4EZ2xpstdqwzvmgl8uRXScf36IcctH6DlidDgeTgYFJpeANLcZtzLwcKqkZmcz4WF3bxiLkQgMCS/I16ynrV0EjVcC2EFy3NV8uN6BRLWFJv3asXKA7rW1WZUejQd53EbZOq57HD/7qj/HQP/wIex//J/zRZ/fA6nDga5//fXzn8afx3a/+N3zj8VdQqDURcJmwf/8b0C/5cOrZn+DdG3qYxNfwyPe+j9M3pKjshGuwXcW5g6/gsccew2OPPYYf/ujHmFBbUcvHceS15/D4T36OW1IzGq0mWLcNHn8MHMchbpfhm4/8HIVaC41KAUbtLGLZEhHlHcyuEWWO46DXUrytYdbfdYoavLEnGCWSPRvGJKvCjFSDVGq8k0mhUINCqOOtFpOscsjCMRfozr3trzLFLiig17jGTtPJZqtQS7T88SlWicTAWth9V6v+6lU+mxKzquGVwTqdDkx6CpRFzp8z4lbw4pwLdOfvJplu3LRXBYVAg9wYYe6vDuZdVK5dV7QSqZ4VY4JRQiXSjPVnTiaKUItWHLC6x6mGxDgyUE9OkwLWOd/Yh456vQWlxIywS8mv1hWjhuspRin5lcwibiUkgjnSnU3YMhzHIZcI4vKZEzj63mksMWF0Oh0kQxROvXsYJy/cQDRbQq2Ug88fQKlaB9dp4/L+Z3FOZEWn00Ehk0AwHEerswO6r3u9VUNbr7eM47q/c/zv/Z4vDs16GYlUtvtefOhvhJ3KrhHlZLIMrXRlPWeTQoB3XjsNg2zFuvH4Oxdx+uhlxKm+NaASs0rbyEXIcRx0GjeWnStrOp89dgXvH7rAr2HtMIhx4NVTUEyu2C1aZhQIBtIjuWnVDoR7NolJRonzx6/g6FvneSOHOZUQ77x2Glrx9EDrW4pIZMULObychVm98lAwKxLg4OsnYVV3TThilBKnjlzCiYMX+ZxjlBKzSvuIaAWDOVhnVlqiWvE0Du8/DbNSxLfYj719AWfevcxbV0bdSsyqnENx2u0OVLIFJJgV4Tz61nmcO3aFfzjQSQQ4+PopmBQivmwGhQqJ+Kgzl9USALu4IuA3z9/EwddO8/8H2iLD0TfP4M7lW3wsdkGOhYUwuZEQ7gpepFY+GP1s4G/lYh7VehPkciPcL3aNKOu03iFxiHoUWNQIEXWvCKvLJIbbLObFMBdQQXRbMSJatVoLaol+qMvUMyeByyTmW4RxWoEFjRDLzhVxC7sUMOqokdwkk2p+n6xfBcoigcO4Yp4RoxRY1AoRdq10bWd8KqiVK7FsC354F1f+HnF3zx/zKPi4brMYLpN4qGWpkWtHVr3SaWgk6JXWbNglx6JWiBi1YofoNIrhmZMMtcTFE6qhOJlMFUaVZqieHAYxKIuEr+OIS44FjYDPMx9Uw22WweVYHqknlczCt7K73fAy2LRCvs6TrBJLOhF8NtlQGRWSedJaJhAIDwS7RpRn1fSWLQS7oiwduaFXKk1oZLotxep33a5uTQKA5I5yqGt4s7kpZC4+xvwci6B963aLeqUG2ezwFAfdrAdJ9m7qSj4UJ5kswzK7PXaSAKCSmNd9v71mPYktxJCCQCA8EOwaUabpFOx66ZCb0Fo38b54p7wqyITGka7PTqcDhWQeKe+K89J68fp/cxhl8LhHvZnl4jm+O3czsfouUPalFctFlo7DppOPlGGt8vXfySolcyMD0Gy2KP/ufdN1xaogF80NxanXW1CKDPz51ivb4N+ss3KEgqN2mbpZN9/Nv9k6j9NKaGYo0n1NIBAeCHaNKHc6HUgFJiRoJaIeBTRiITxz0u7gJ7a7RdwKGGQiOI1SZAMqLGiVoKnE2HihUBZGZdcG0mmSQifpukHx8RglmHkZVFMCJJju4CaVxIhyuTESy+dNwTLTjeUwSKGX9mKxK7FoiwxasRAxT3dAmXhSP7BaD1CtNqGWziFBd/+unBKAtsq6g9fGlC8XUMGsVsDnTY3k02p1IBPoEae7x8yKhKAtsqG6CrsU0EuFcJulyPpVmFMr4PONvi+n3DEsaLsCv6gRw6QQIepZKVuCUcJtlkI1JegO1PIooZYvjF17PJUqQyOd4e0wZ0VCBOzyoXry2+TQiIQI2rv2m/JpFXGJIhAIDwy7RpQBoFisQyY0IujojmR2maQwyES9TQizUoyopyuOBoUCS4uhdd2KKE8Ms5Ku4MRpJeZU4oF4Itj1En50sWxav+4UJKcjAr1cyY8o7sYSwiATQd8T0r5TlEygH/FABrpTtOQiE++57DRKh/KZU3XLlwuooJXK4XRE1nzXms1WoRAZsOzsTokajKWXCTGnEvMjnXVyBVyO0R4AoDvYy7YQhFHZzSnsUsCkHK4nt7n7kOC3ySEXWcY+uPQJBjNdm0imO/p7YXY41qJWwo9eVwpnEF7HepNAIBA+bOwqUQa6IrE4H4ROqcf8rBQRt6Jn/6cEZZHBoFRBN7O0oW0jsLJQh0Zth0GhgmdOxttBRj0KLGql0Cm0sMz50Wyuv2oVx3FIp8vQz9hhUHZjpfqx3AosaKTdnC3+NY0luoYYbSwMlC/q6ZYvxXZb2waFEhqlbVOLkDSbbcxb/dAp9VjQDMfyzMlgUKign7Wva9vYj5VIlKBRLsKoUICZlyHl7ZYt7FLAOiuFTmnAki284aItHMehVGrAqPdAr5iF3SDlLSrjtBJ2vRR6xSxMegrVapN0WxMIhAeKXSfKQH/ZyBZy2TLcrhjmrQEsLoSwHMqiWm1safnI/kpctWoD4eUsbIvLmLcG4HREkcmU0NikReJKrA6q1QYi4SwWF0KYtwbgckaRzZQ3vWznYPlczigWrEHYBsrXn5O42ZwajRaymW6seWsAtoVlhMNbi8W7OVUaCAbSWFwIYcEahMcdQz5X2fJSm50Oh3qtiUSigCVbGPPWAOxLYSQTBdTrTTLamkAgPJDsSlEmEAgEAuHDCBFlAoFAIBB2CESUCQQCgUDYIRBRJhAIBAJhh0BEmUAgEAiEHQIRZQKBQCAQdghElAkEAoFA2CEQUSYQCAQCYYdARJlAIBAIhB0CEWUCgUAgEHYIRJQJBAKBQNghEFEmEAgEAmGH8CES5Q5arc7af+Y4tFrruw7VqkXU6qM+wNsF1+mg1e700uEQi0TQ3qSJQ36ZQay6Tvn65+iZYnCDv2/BvCIWiaC1if2LhTQKxQGf41IM4WYb447kOG68K1anzdcH4cPNyDXAcSgWi5u+NgGgEo0gs8XrJR+Ioljf+Jh2u41isTh0/XIcN/Z6Hj22jHL5Xu8bHeRzhZHzdY1g2hispmIhv6V621IW7RbaWzCD6efWv++0mg00Wpuri2wmj0p1C+XgOBTjebTaH26zmg+RKC/j9PEb8LAsHPNaiO7cwblz53D8+Ot47rnnsH/fIfzLw9+HO1JYM0LaJsXRa/oPLMNq1Iu33p9ADQA4Dq+8/AKWB4VtHWYuvYzJpfSG+3GdNgwGLZq9+1DEJMDRq8pNnYPjynjh1y+huIkHE7vgEi7JlvjfK/Pn8JrQj3G3P67Thm1xHm0OsOsVCOZqAIBlyw28K/RsKjfC7qaR9mPJGRz4pIMF+RXctMU2GaEJ0YnXIGfX/v6OY/bSCUybAxvvWM/h0Ov7kRn4yKlXI9Pc+NBWrYBL165gbbf1YRq5BJxOPc5dOgk61C1PhrqNXz5/G6vvBp1GFW8fO4r8gBBJzz8LQ6i04Xm6drJphMM07JYZ3L5+HUeOvIwXXn0T7nhtZP9CyI4Xnn0aE0tBZLODf6mjgtbYcygvHsbLe5/D888/j9dfP4oXH/sfeFHs2DA3oIYTLzwNoz+78a48HShP74M8uNma3p3cd1GuFNKIxrfyj1mLNJ774Xdx/up1aKwWXDi4D6eFi4gW8qjVaqjV6jj33hsI58dfXADARUw4IpjfhlzWoBrFO0evoY7uF+b4ewdRqG0sgNWYC4ffF6DW+15Wq1XE436kUuXRnbk2zrz1NN5++R3se20vfvGT7+GicjPC10FYdhL7DlyBM9bYYN8GJo8fgpmOgLbZYKZ8uHPoLYi0OgjOnsWJi3ewPJAb12nhnTd/iadffhV7f/pv8Oc5oFXA6RefwhUDPfYM7VoR8hkprp05g317n4WB2Y5rhLBZGqUYlEo1ZDMiXL0oQvFeezS4DmRnD0NkjQ18FMf+V99Gae2vJE8pYMFbLx+A3OLf0mln5TdgYzIb79gs4MjJK3xLdVF0Gq9eESO3CVEGx8En2Y/np5m19yknceW99/DTb30DL732Ps5ePoUrQg/aHQ6dFIV3XzuBRKUx0lJu1KI4c+X2So9aM4Ljb1xBfkxrtp4K48Lpg3jnyBEcOXIER4+ew6tP/DPendaCZRhEo2mUSjXUarWh1rDXMQe5WIh/ffYXsCdyKGWC2PfUT3H6yGmcOnkC7z75IzxzbArj7grCO5cwb0+hVEohsLwMy8RLEHs3bskuXXwNP/v1YQiu38CFMyfwwx/9GuEN2yccjKfPwlbOo1odc+/rsWCR49aVa9i/7wVcEH6A9/MPiPsnyqUILp95G3/1p3+BE8rxN+atkcahlw6j1AJaJR9++eijOPr+Oex/6Q3YE93/9u1LRxAf/F92qpjRzAEAisUiMovTeOLgRWg0MkxfuY5Lr/8aRxX+TXVhbYpaFAdeO4MCuqL87tE3kEmnwNIsStWVS57rtDEnncLUtTuYlgqx/6dP4ekXD+Kdd97B3tdew6FDh3Di8kXcUZtQWa3pXBunz5xBrlBDm+OwpJmC0hTERtQyXrx97CIajRqkE9MIlUefpPvk3To8vfcJvPbCM7ggNMFmNeLMxYuQXD8JoZlCPJlBvTmQWKeF0+ffR6nRgejaEQTyQIK14uzNGejl10CnRr+NS7ffxDvXzADHIW08g7/8/svIba5TgXCv1NM48dYRzIcKKFUKkB/6BX52bHaNttLmyQU9MDlZdKpVFJIJeJ3zkEhv49r127h06xqoQH78gc0ibp57H/ZwAW6tGjpfdNPnVE+dgjO2iQunWcCRk1cB1KG6cwHTRgaNTTyItNsVFPJ5xP02qObnYFCrcef2bZx9/31MyCyoDuzb6XSgnb4JeyADelEBhcaLRiGIyZsTSJQbKGXyaPGV3EYsGEaakUFtTyDqUmFa5kLcrcP1GRsqpRLiIQoXTx3FfGLlu8qhs9JbxbUguHMTherKd7HdaKNZHX7SqFVKqNSbkJ1/B2ypg3o+jfdOvYdMJodCoQi78DoEc+MfOISnX8STP/wZnnnzAM5fnsTtg2/CvF6HHtcBo76JfQfOwGKzYznowUvP7MXxmza+d29MLcOtnoK3xMF4+hyWKhXEXWbIZ7TI14avypLjDn752mVUmhyqy/P4h7//FuybeCbbSdw/UW63US4VcXzvt3FUsZ2i3IJecBL7Dh+E6OYF/Ox/nkCp0b0oLxx7EcnBbwmakB59Hr86cgTHj1/C1Om38PSBy3A4FsG6PZC++xTOWXL3nFmrloVBLsL01Uv4wfd+iiPvn8SBAy/ii1/4Co4cPo8L167DPfC0wHEcUvEIwuE4ltTXcOq2HtV6E+h0UCsW4PYtY81XSlwbp98/gXK1e7GaRZcg3ECUm9Ukbl84BzobwPnTkygWg5iQKZCtjGsmNKGbuIlwtgpWdwvnJ62wS2Vgq200cwEcPfQeUqvfr3VaePfdVyCQSHH40IsIJDO4ef48/LkmWsUEzp29jOqqJ/8l4Xs4cMMEgENA8g6+8tgBFDbTaiHcM0W/EX/70NdgS3WvoerSVXz5B++geK+qjDYS0WVkwjZcPnEHyvk5uKxiPPHESXiWIyiucb0ZxVehWHJCfOUqAvkCZtUTcMfWbikNHnvt0DOw0lF47HYYNBpMTSnAxEqjD9rNAg4dPgiJTIUlf3zd96oxpxr7X34Zzz33HI4dO4drp9/CM786De38HGzz8/B4PLDb7fCHElhdomFRphELh5AvNdDIhfCrffuQ4C/yDjQXnsV3/vUp/HrfQbz90j/jlRsLkL7/a/xq36s4e+ECFDNiPPH4z+GtrPxjmpkYpGIptLOzkExM4NWXDkCuuI1rt+5AdOscXn3lF3jjmmmg3BUsGg3Qzirxxi//DW+dew83VTqcv3yZ38V65zpmlpbH1sXtc2/i3NlrmJTfgUh0DUdefAG2xPgvaqfdhG9JhIlZD4xXL0LrZnH52BuYUNqw3mv/RiGMd55+C6FGX5RrAJqgrSI8ufcVLIVXuvILlALPvXkZxSaQ92rxd3u+A7q4duydyH3vvr7w0ne3SZSbOPfuEbAuJ9QLLujFF/DI4z+CIdR/B9XC5eOHkR3qg2lh5shJ8GePmHBEsLDyt2OvwjT4lNVuo14tI5/PIp2OgWEYuGw2WCw6LJhM0MpmMHX+Is6cVyJVX/mitOoF2OfNWFgyYf8rJxAuldBscjjy9nMYex/qkV+24rV9T+PZl17H28+9hDdeP4z3Dh3AL1+8hLXuGVynhTOnjqPS6F7lZvVN6Jbia56jVk5Aee0qFoMZcFwH7x1+A9UWhwRjwpkz1xDJDLeYSyEP5qgYWu0KYhEGBp0WdwS3IDh9Gc8/+yyU9iBGGhidFo4dfwGzej0unX0XKukkLt+6A7NFhVvTdzArP4en3j4Bpz+E5qqDG3kGj377W5AysbHvqwnbT7tegsOoQ7bSAjgOtqu/wiNvitC4yy6jWorG1JXzeH3/v+K7j76OVL0NL2VHIlMFLbuC0zIa41/i1DAvnYLC6ESjTx+cdgAAD9tJREFUA6jP78dCqoVOLYOzhw/A7ssMfw/aDTiMApw5cwFHjhzBkbdfwmf/bA+O3pyGQaOBxWiERmNGKF3lRbler6NSySMdZvGrZ/diWjkLk9GIWY0GItkETh55Cy+88SqcseHvQbO58sV1iA7goKB7F2nV8mCD8aFWH9fpIO5nMDc3h1PvvIDDFy7h0Cs/wz//049x8Pos8vkkzh0/Bj0TGfruUNIjUPVeh6fM53BOrMW5KyJkqr2Wf6OEF98+Miz8lWW8+qsD0C9YcPzne3FzcRG0W4o3Xr+ORD4PxY23IXUP9Ei0aqDsS1DdPoa/+NJ/h5yKopJPD4myQTqBRTo59j9knpmEXCCHzjoH2+ICPA4PPPYlzM1pEYoPq2Gr1YI/mgIAxJh5HHtlH94+Y+zm3+mg2Rrz1NepQzt5FuL5KLrd131RBuqlBJbMMzDYRxsd7VoKB3/1Q7w5qb3nHp7/v/kQiTJw+eQRxHJZhFxzOHHyJBQaBc5cugk6mkC1GsGhlw+OiLL68CFooiH4/X4wM9fw9JFJ2KwLmNOpceRn++EfHE9RqcA0cRaHTp3EbZEM09NyqMRiyGSTUKvV0OutWFpyIhxOIjdWbbO4dOAKsgA4Lo+j+4+i0myjVisinU6j1h89znEo5lhcu3EHrG0ah2+r4ff74fXawfoWceGscM0u9U67jiMHj6Pfq2NU3YDBmRq7bznjg1IugS+a752Ww4X3j6L/mts8fQSP/WAf3nv/LCK9V7rNJtCp1hH0OeEOeqCcvoFnXj+ObLaxZuudazdx6vQhRBM5CE4dgN5Jw2QUYkoohsXmQTIZwZxGA4uHRWNwBD3XhOztn+HkTJQI8n2iUYzjqV88Bmdk44FFa9IswBcII0wtQjzXHQTUqSZw7cxJvH30GNK10dtmq17AnE4IqyOA/iWhvXQErt4zdjmuww++/nO8feAI5lwr13etUEQ2WwbHcYgar+G5N49ApKPWuH7q0N06heOn3sXErSv4/g9/gYmJE3jh9VOwLNkRTiZRqFbXv6m3Szj/zM/x9vGzOLjvZTz3g0fw/RevDb1W4jptuM06TEilePnFX0JhdmJRJ4ZCw6KYiuD2jaugoyU0Mk5IjD4+V7foAM7InVh0zkB/6fX/r50ze2ory+948gekKn/BvCRvechLUnnOQ6qSSk2eUjOVSU1m0tOd6ZpxzUymO17b7bHbtAGbNpvYbITMJjaDDQgMmEXsMjtikRAySEIgCS1o42q795MHNgGSbPd0p2nnft4Qdzn33HvO93d+y+FKdhkrxtcMPdWw4QiT2PeRW1Jypj1OqgqbCRBnsOg+LX0dDPU2klXQTQToq77JpO3MEyUitFcruPX73/FF7j2ae19y784D1jY2WF2bQ1VZhd584jFM+P1MDg/TWluLUqXi/oMH/Oa/f0Ve2WM6217Q09mCWq3EsHHWjy0hhDwYx7t5rG6n7POr3MxvQjc1S0t9Cb+6WnouWW5nY4n+kYVDw0NkrELJQkggtr9NRfaXrLlT578YB1V8kd9xLnHu+8B7Jcp1FbkMdr1gcHAS/cwLFJXVGEx6crKL0E73kH1dSeDU6IwzWnGb4oYmNJpOnhb+gV9cKUWrHWPRaGRry03kj32rYgy304HNts2aYYYvP7yCsq0eZdEDfvhP/8H9vHLKykoor2nAaPEhSSLB3WXa2nWEEiIBQw83FUo0Gg3dnZ1MLExmFOVEdI2y4i7ihwf0tZXTeyTKooj/qOxDEFhfMeJPcn2dFeVUxIQgHrcLp9OB0+lkoruM3HsqtN1tVFVVkZNzlXvFzbiT4lZiXCDr2k/p0LyksvwhC2vLWLadDDX144tGqPvqPqa9FDdN7NOobiV9dFvm2yQacNHyqIBFy/lSna+DfXmcF7oVAKT4Pr215dzKK2fdsXd6xSuKeMyrbJ7JEE4W5TcTR/VVDvPWXeY1GsyeN6yXjmPKsDzUx4zV91aGYHhnhRvZBbgcW0QiYB16jGrkdZqjRZ43VGAPJFib76e3fxn93BTuQBTEGG2V91GPLB97DZbac7iSp6JJo2GgpoQnY3pigGt5iOs51fgDbsqVj8/cw031bRVO4gwWFdExt4rNoOVeUQ9RIjwv/pKVMxE5i05DQ+8UrSWFGJxeDPpX5F69TG2HhvbuLrSjOuzuk7iflEhgmpnB5nQyMzVJUJSYfFaIdtWDw+nEuO5I0XdxbIZxXs1MsmSwMaouQvH4GY2NLTxv6+Lub39O9fCZFW8kwNLWZlJcXmS8soZFn5f2ahX9i/a072VuVMPi6zQ5Chec90qUq766h9MXh6CH/pFZ9HM6psxHLpR18i+rORuJkvb3T176Kff1N0TEibq0GIWihpauLnr7etlwOBAEgQ3Hzrk6ZTEuoN8wHv8dMPTw6zt3UWRlUfKgjMd1jRlEWcK32ED9xEmm8qimimHT4ccZjzG7sEC6Mr+3EWWXcZInaiUVFQqam6u5/sHHNLV286iuFa/XiyieH46J6Dqqin4SQLtKwaZpgfymHpa7C2jWmch9+Ih4Cn+8JMXY3na+U92kzDeDJPh4Xl3OvOXg2xFFMX0ew9tec3eV7PoepPg+MwONTJu3kfYsZH/6CYOG1N6cZN5FlEOWfh6U9iAkIGhZ5WnXVGbDIkmUIUJ7YzVrrjd4ByQJ/UANbdqN4586FArmtlOLgbg7j1LVTxSOE70OLiOypK1EObh4yhWd7L5+3dfAy/WjlWecrS0HId8KdXUjZ+7iRnW5DDtx+gs+42qOgqryQvKqdYAP9d0qkovQxF0DzzQ6QrEg7YpanActwjeppnhokz2rjtHJtZTvXgpZuXM9B+d+gtH62+SV1lKhVNLQ/vJUgltyfyViEQbVKjoHtDwqacDp8dFXdx+lZipln509X0wEqM3PZ3AqQ5mbJLHn2yYQ/H761y6gKHtR1z9m1ffu7jJ1peK4vMJpGubqZ1eYsByO4v0l7n5af06UT/FtiHISgneVe5/cwLgHILE234W6YySjCAYMPdSPnPRPJGBNL8rxEKrH5SRPb696a9Ad1fXFI/QNDpBuj5W3EeVkbFO9VLZOAgmWh9UMLaeOO/mnVNTOHbShXaXAKYQZqm7B6Q2yNFjLhC3lEMY2Usaf/cmfcqvVILuv/0/ZZ/BZLSNJccTO5if4IhCLhdnZe7c6UUHYY3z8BY1V5RSqnzM828/SzslyzW/V0aPLUE50yNuLcphHD3Iwh47cXDFePa1l2pXB7ZUkyoIgEPRtUl5Sy06G7EK/dQ6FspHkJpUWfH4+0fGQnrpS9I6DvjsR5ThLujqqeqaOvVtHrGi+Iqemj4cPH1KaXcCw9XRZoG+1k9rhs6vFMF2KauzEGTrKl/HNoWiYOiinym8heWa1m6zEYiJwIspiNEBNXh5H08Zkh5IJ03mjabQhj2s3s3jarmWoVcFc+tQVAPY9Rjo7GzG4Dy5snh3h7p3bVA+sZj7xkKBziQe5xczaM6+AI7Zx/u4Hf84//O5RyjKui853J8ohB+rH+fzj3/4Ff/8vH1L+bPjgd88Uf/1XP+CLdv07X1JdqSAYjhLw+XDbbMzN9aBubqWzs5PRXhV383syv6RvUZT33QYaapWsboeSBFXE+KqNnNxKPP7UE0ayKO+5bNi319OKsnVBS9fYaQtyorOUkufjCOEgW5ZZPvr5xzjTqPK7iPLGSCs1tb2EjzJTxDhNpSWYPGeeQ4zwrLaRHXGPuek1WpUK7MEAXq+X3Q0j1c87mZmYYHzJdK4kYt9h5O71m8zYA99cWZrMG3GuaPnRj/+VX1+6xKVLl/jgx//MTz5rISJBX8kl/vJv/g3TO9jMkhRGr7cQ9Aaw6ueprlGiVnfQ2dzMsH6duJg43O0rDufylU94G1FOxPdQl5cwbTud4xDcXia3qC59jDHmR1Gp5vVMP/2D80QSElZdEz/5xS8pqq9nZNp8+nDfFo3Ntay7BBJRH/r5NQTfFHfzXqRIiBMxm0fo1xqPPWOLQ220T6yge6HhmVaXwnuVYKTqBoXN0xgMFjoV5ehdBw+/tTZN16iO3opbDNnOnuin5rMbNLzs5c5//he5zVUoFXf4zSf3eFLwOb9VPE0zlrw0ZD/BSZSFV12MrThPWu/d4PqVW6x6joxniW3zMJqhVaJRgc3ZMbKu3aSmpYvXwfQzbPIOfqZXvTysKuaVyfXG3cmiwi4vW2opqXqONxp/o8dG2vegys+icXjlezlvfIclUVF2trewWq1YrVZsriMrMI7L5TguY3p7wtz42Y8oLmmksbGRp21t6OZmeTU5zuzsLOvTzVwrH8qYtOGabaGwcexrPlB6tsxGtIPDuPwpoqNinOmeTozW1MV0vqUm6rQHlmQk5Ka+8lNuFvWf+9i8tnW6h1aJnhG2WMDDaPdTShTVqBtq0C4uE03zVUuSk+J7yoyiHLJYGHv5nP6RRYTo6d6Mule5/MEVqp62M7pgJA4I7k36tDNAnPmuUn72UTaj/WoKSkpQNTTQOzLCsl7P+qaLxLe3w6nMOxCPhtnesh6PTavVitsvIAGCx4HJup2hpvTtSCSieHYdLI91cO33l7n0P7dQlDVgcadT3TCdBYUZRdm/s8FAxzP0ztD5iVsM01rwB67dUDA7u3QuzCIKXj7/+KeUD0wSPVLIRJQ1wwpmiwWf/8Sb43M4mB4ewu45tEwkEb9plEsf/DtdxvP1N7HoBro5w6lQlW9ng5EXXehM9jReIAmvdQaz8+C/UUEgfthmSYyzMtbIhx/dZu/cyRHG6p8wtmjktdmM3WHHbrfjcDhwrc/xUmc+e8IBURfKrDqW1ucZWl051ybz6iQWlwCIuM0r9A1Mn5pHxIiAw7ZEbWEW2Q8eUlDwiGcDM7i9J0ZWLLjL3Ow8L5rqGZhZwR/JXOMY2DGhHX1JQ0M7xo2d00mg7zHfufv6m2R720IsnerGw+z6UrtJj4mF2fO/4ZivwY7Nzn4sg+IkEpAiFnvcpvCJ9SnsuVjfCp8T5Ug4hPBH1vFKknS4r266I8L47Fu4/aG07mSX1YLVasPh9CACYjTI/tHmBYl9zCZbmvIXmf+vJGIC/rDwxhCFENzLYDDG8Tg32QumH7+x2D5+v59QKHJuL3YpEcNms79V+YzbGSR8ZitaSZIwmXeIpEjYkIifuW4U76YVX4a2vhExxp4vTew6Hk89xkSR+FmrPYnQXohwKJTBVwEgIfj8RNJ0lChGsS/OMj6/zOaO7zgfRBA8bFl22N5xEEp3cjKCgM2+wZbDnTbc9r7yXomyjIyMjIzM9xlZlGVkZGRkZC4IsijLyMjIyMhcEGRRlpGRkZGRuSDIoiwjIyMjI3NBkEVZRkZGRkbmgiCLsoyMjIyMzAVBFmUZGRkZGZkLgizKMjIyMjIyFwRZlGVkZGRkZC4I/wtASKjYaCjcHgAAAABJRU5ErkJggg==)
如例题所示,先让学生分别说一说自己的想法,然后根据他们的思路,展示两组算式“(3+2)×7和3×7+2×7 ”,“(60+20)×45和60×45+20×45”接着引导学生去思考比较:这两种解题方法有什么区别?发现一种是“先相加,再相乘”,另一种则是“先分别相乘,再相加”。通过数形结合这样的方式直观呈现,不仅强化了学生对乘法分配律的外在形式结构的认识,也让学生在分析每一步思路的过程中对乘法分配律的内涵有了一定的理解。
(二)借助情境意义理解乘法分配律
规律的得到一般都是经历“观察发现——举例验证——得出结论”这样的一个过程。但是这样的探索过程,只能说明学生对这一规律形式上的掌握,不能说明学生是否真正理解该规律。所以接下去的环节,我们可以通过让学生结合具体情境来解释说明乘法分配律,以帮助学生深刻理解并运用它。
例如:“新学期我们班换了课桌椅,已知课桌65元/张,椅子35元/把,买45套课桌椅一共需要多少钱?”我们可以先算一套课桌椅的价钱,再乘以45套算出总钱数。也可以先算45张桌子的钱和45把椅子的钱,再把课桌的钱和椅子的钱相加得到总钱数。
再比如,计算长方形周长时,我们可以先算(长+宽),再乘以2得到周长。也可以先算长×2和宽×2,再把他们的积相加得到周长。
爱因斯坦曾说过“提出一个问题,往往比解决一个问题更重要[刘永波. 科学教学中学生问题意识的培养[J ]. 中国教育技术装备. 2011,(25).]”。教学中,让学生根据算式,结合生活中的例子来提数学问题,通过提出的数学问题来解释说明乘法分配律。经历这样的一个过程,学生对乘法分配律的本质意义就有了更深刻的理解。
同样地,我们也可以借助乘法的意义,来帮助学生理解它的内涵。例如:35×9+65×9可以看成是35个9加65个9,也就求(35+65)个9,因此35×9+65×9=(35+65)×9。
(三)乘法分配律和乘法结合律的辨析
由于学生对乘法分配律的认知偏差,造成了它和乘法结合律在实际运用中的过程混乱。为了让学生更好的区分两者,我们可以从结构和意义上分别进行比较来进一步强化它们的特征。
首先是在结构上,乘法结合律“(a×b)×c=a×(b×c)”,它是几个数连乘,它改变的是算式的运算顺序。乘法分配律“(a+b)×c=a×c+b×c”,它既涉及了乘法运算,又涉及到了加法运算,不仅运算顺序发生了改变,形式上也是发生了复杂的变化。它可以“先相加,再相乘”,也可以“先分别相乘,再相加”。
其次从意义上,针对学生易错的25×(4×8)和25×(4+8),可以设置一定的情境,让学生结合情境去比较区别两者的不同。
例如:求下列大长方形的面积(单位:米)
题一:可以列式为“25×8×4”,即先求“一个小长方形的面积”,再求“4个相同长方形的面积”。也可以列式为“25×(8×4)”,即先求“大长方形的长”,再根据“长×宽”求出大长方形的面积。
(四)借助“错题”本质认识乘法分配律
古人云:“人非圣贤,熟能无过”。在运算律的教学过程中,我们常常能捕捉到学生出现的各种张冠李戴、无中生有的错误。这时,我们会采取立即纠错的方式,告诉学生他的错误,让他立马改正。但其实这样的方式,只是让学生在当时那个时刻纠正了错误,并不能达到杜绝错误的效果。
周恩来曾说过“错误是不可避免的,但是不要重复错误”。为了避免学生再犯类似错误,我们要让学生自己去发现问题,找到原因对症下药,从而掌握知识之间的本质特征与区别。
美国著名心理学家布鲁纳说过:“学习者不应该是信息的被动接受者,而应该是知识获取过程的主动参与者”[ 刘灌缘. 对话教学法在初中英语课堂的应用研究[A ].2017. ]。通过这样的一场激烈的辨析活动,学生对于乘法结合律和乘法分配律的本质就有了更深刻的认识。
综上,要想让学生真正掌握乘法分配律,不能仅靠单纯的题海战术以达到加深学生印象的目的。虽说学生可能当时会因为“思维定势”“照葫芦画瓢”的原因,这些题型的简便计算都能完成很好。但是由于没有从知识本身的内部结构去深入理解,随着时间的推移,按照记忆遗忘曲线规律,学生的认知还是会产生混乱。
教学活动是师生积极参与、交往互动、共同发展的过程[ 中华人民共和国教育部.义务教育数学课程标准(2011版)[M].北京:北京师范大学出版社,2012.3]。在面对学生的“错误”时,我们要以宽容的态度去对待,把这些错误当成我们教学中的宝贵财富,去深入分析原因,并针对性地想出解决对策。这不仅为学生的学习带去了福音,也为我们的日后教学打开了方向。
【参考文献】
[1]丁玉华.以问题提出促进意义建构———“乘法分配律”教与学现状分析及教学建议[J].教育科学论坛.2019,(2):46-50.
[2]李丽华,孙政美.错题资源在“运算律的整理与复习”中的运用例谈[J].中国农村教育.2019,(3).
[3]郑圣发.引导学生“入木三分”地认识规律[J].基础教育究.2017,(2):61-62.
[4]邬旭亮.“乘法分配律”教学需要三个“关注” ——“乘法分配律”教学实践与思考[J].基础教育论坛.2020,(2)65-66.