{"id":1860,"date":"2016-06-14T08:40:54","date_gmt":"2016-06-14T00:40:54","guid":{"rendered":"http:\/\/systemsci.org\/jinshanw\/?p=1860"},"modified":"2017-11-03T14:27:38","modified_gmt":"2017-11-03T06:27:38","slug":"rote-v-s-meaningful-learning","status":"publish","type":"post","link":"https:\/\/www.systemsci.org\/jinshanw\/2016\/06\/14\/rote-v-s-meaningful-learning\/","title":{"rendered":"\u673a\u68b0\u5f0f\u548c\u7406\u89e3\u578b\u5b66\u4e60"},"content":{"rendered":"<p>\u6211\u4e00\u76f4\u5728\u5b9e\u8df5\u548c\u63a8\u5e7f\u7406\u89e3\u578b\u5b66\u4e60\u548c\u6559\u5b66\u3002\u6709\u4eba\u8ba9\u6211\u7ed9\u4e00\u4e9b\u5bf9\u6bd4\u7684\u4f8b\u5b50\u3002\u4e00\u65b9\u9762\uff0c\u6709\u4e9b\u6750\u6599\u786e\u5b9e\u5f88\u96be\u7528\u7406\u89e3\u578b\u5b66\u4e60\u7684\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6240\u6709\u7684\u80fd\u591f\u7528\u597d\u7406\u89e3\u578b\u5b66\u4e60\u7684\u5730\u65b9\u90fd\u9700\u8981\u5bf9\u5185\u5bb9\u6709\u6df1\u523b\u7684\u7406\u89e3\u5e76\u4e14\u5728\u5177\u4f53\u8bb2\u89e3\u7684\u73af\u8282\u9700\u8981\u6709\u521b\u9020\u6027\u624d\u884c\u3002\u4eca\u5929\u521a\u597d\u649e\u5230\u4e86\u4e00\u4e2a\u6bd4\u8f83\u5bb9\u6613\u8bb2\u660e\u767d\u4e24\u8005\u7684\u533a\u522b\u5e76\u4e14\u8fd8\u80fd\u591f\u4f53\u73b0\u7406\u89e3\u578b\u5b66\u4e60\u7684\u597d\u5904\u7684\u4f8b\u5b50\u3002<\/p>\n<p>\u5fc3\u513f\u5728\u5b66\u6821\u5b66\u8fc7\u4e86\u9762\u79ef\u5355\u4f4d\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c1\u5e73\u65b9\u7c73=100\u5e73\u65b9\u5206\u7c73\uff0c1\u5e73\u65b9\u5206\u7c73=100\u5e73\u65b9\u5398\u7c73\u3002\u5f53\u7136\uff0c\u4e24\u4e2a\u8fde\u8d77\u6765\uff0c\u5c31\u662f1\u5e73\u65b9\u7c73=100\u5e73\u65b9\u5206\u7c73=100*100\u5e73\u65b9\u5398\u7c73\u3002\u4f46\u662f\uff0c\u9047\u5230\u7c7b\u4f3c\u8fd9\u6837\u7684\u95ee\u9898\uff0c1\u5e73\u65b9\u5343\u7c73=100\u5e73\u65b9\u7c73\u662f\u5426\u6b63\u786e\uff0c\u5c31\u4e0d\u597d\u529e\u4e86\u2014\u2014\u8bfe\u4e0a\uff08\u5e94\u8be5\uff09\u6ca1\u6559\u8fc7\u3002<\/p>\n<p>\u4f46\u662f\uff0c\u5982\u679c\u662f\u662f\u901a\u8fc7\u7406\u89e3\u578b\u5b66\u4e60\u6765\u660e\u767d\u4e0a\u9762\u7684\u9762\u79ef\u5355\u4f4d\u8f6c\u6362\uff0c\u5c31\u4f1a\u975e\u5e38\u6e05\u695a1\u5e73\u65b9\u5343\u7c73=100\u5e73\u65b9\u7c73\u662f\u5426\u6b63\u786e\u3002\u4e3a\u4e86\u5b9e\u73b0\u9762\u79ef\u8f6c\u6362\u8fd9\u4e2a\u95ee\u9898\u4e0a\u7684\u7406\u89e3\u578b\u5b66\u4e60\uff0c\u9700\u8981\u7406\u89e3\u548c\u8fd0\u7528\u597d\u4e0b\u9762\u51e0\u4ef6\u4e8b\u60c5\uff1a<\/p>\n<ol>\n<li>\u4e00\u4e2a1\u5e73\u65b9\u4ec0\u4e48\u4ee3\u8868\u7684\u662f\u4e00\u4e2a\u8fb9\u957f\u4e3a1\u4ec0\u4e48\u7684\u6b63\u65b9\u5f62\u7684\u9762\u79ef\uff08\u8fd9\u4e2a\u5185\u5bb9\u672c\u8eab\u4ecd\u7136\u53ef\u4ee5\u505a\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u7684\u7406\u89e3\u578b\u5b66\u4e60\uff0c\u5728\u5b66\u4e60\u9762\u79ef\u8fd9\u4e2a\u6982\u5ff5\u7684\u65f6\u5019\uff09<\/li>\n<li>\u628a\u6b63\u65b9\u5f62\u7684\u6bcf\u4e00\u4e2a1\u4ec0\u4e48\u7684\u8fb9\u5212\u5206\u6210\u8fb9\u957f\u4e3a\u53e6\u4e00\u4e2a1\u4ec0\u4e48\u4ec0\u4e48\u5355\u4f4d\uff0c\u4ece\u800c\u5f97\u5230\u5f88\u591a\u4e2a\u5c0f\u683c\u5b50<\/li>\n<li>\u8fd0\u7528\u7b2c\u4e00\u6761\uff0c\u770b\u770b\u5c0f\u683c\u5b50\u7684\u9762\u79ef<\/li>\n<li>\u8ba1\u7b97\u6709\u591a\u5c11\u4e2a\u5c0f\u683c\u5b50<\/li>\n<li>\u603b\u7ed3\u8fd9\u6837\u7684\u5927\u683c\u5b50\u5206\u5c0f\u683c\u5b50\u7684\u65b9\u5f0f\u548c\u4e00\u822c\u6027\u7684\u8054\u7cfb\uff1a1\u5e73\u65b9\u4ec0\u4e48 = 1\u4ec0\u4e48 \u00d7 1 \u4ec0\u4e48<\/li>\n<\/ol>\n<p>\u6709\u4e86\u8fd9\u4e2a\u7406\u89e3\uff0c<br \/>\n\\begin{align}<br \/>\n1 \\mbox{unit}^2 = 1 \\mbox{unit} \\times 1 \\mbox{unit},<br \/>\n\\end{align}<br \/>\n\u90a3\u5f88\u591a\u4e8b\u60c5\u5c31\u975e\u5e38\u7b80\u5355\u4e86\u3002\u4f8b\u5982\uff0c1\u5e73\u65b9\u5343\u7c73 = 1\u5343\u7c73 \u00d7 1\u5343\u7c73 = 1000 \u7c73 \u00d7 1000 \u7c73\uff0c\u90a3\u80af\u5b9a\u4e0d\u662f100\u5e73\u65b9\u7c73\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u5728\u8fd9\u91cc\uff0c\u6700\u5173\u952e\u7684\u8054\u7cfb\u5c31\u662f\u5e73\u65b9\u4ec0\u4e48\u7684\u5355\u4f4d\uff0c\u4e0d\u662f\u72ec\u7acb\u5b9a\u4e49\u7684\uff0c\u800c\u662f\u901a\u8fc7\u6ca1\u6709\u52a0\u4e0a\u5e73\u65b9\u7684\u90a3\u4e2a\u4ec0\u4e48\u7684\u5355\u4f4d\u6765\u5b9a\u4e49\u7684\u3002\u8fd9\u4e00\u8054\u7cfb\u5efa\u7acb\u4ee5\u540e\uff0c\u5f53\u7136\uff0c\u7ed9\u5927\u683c\u5b50\u5212\u5206\u5c0f\u683c\u5b50\u4e5f\u662f\u6709\u610f\u4e49\u7684\uff0c\u5c31\u5b9e\u73b0\u4e86\u7406\u89e3\u578b\u5b66\u4e60\u3002\u7406\u89e3\u578b\u5b66\u4e60\u7684\u76ee\u7684\u662f\u8ba9\u5b66\u4e60\u8005\u660e\u767d\u70b9\u4ec0\u4e48\uff0c\u66f4\u5177\u4f53\u6765\u65f6\u5019\uff0c\u5c31\u662f\u628a\u4e00\u4e2a\u65b0\u7684\u6982\u5ff5\u548c\u4e4b\u524d\u5b66\u4e60\u8fc7\u7684\u6982\u5ff5\u901a\u8fc7\u5176\u77e5\u8bc6\u5185\u90e8\u7684\u5173\u7cfb\u8054\u7cfb\u8d77\u6765\uff0c\u4ece\u800c\u80fd\u591f\u6d3b\u5b66\u6d3b\u7528\uff0c\u8fd8\u80fd\u591f\u964d\u4f4e\u8bb0\u5fc6\u7684\u6210\u672c\u3002<\/p>\n<p>\u5f53\u7136\uff0c\u6211\u6240\u63d0\u5021\u7684\u201c\u4ee5\u6982\u5ff5\u5730\u56fe\u4e3a\u57fa\u7840\u7684\u7cbe\u7b80\u6559\u80b2\u4f53\u7cfb\u201d\u9664\u4e86\u8fd9\u4e2a\u7ec6\u8282\u4e0a\u8054\u7cfb\u7684\u5efa\u7acb\uff0c\u8fd8\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u2014\u2014\u6211\u4eec\u9700\u8981\u9009\u62e9\u54ea\u4e9b\u6700\u5c11\u91cf\u7684\u6982\u5ff5\u548c\u8054\u7cfb\u6765\u5b66\u6765\u6559\uff0c\u4e3a\u4ec0\u4e48\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u4e0d\u4ec5\u4ec5\u8981\u5728\u5b66\u4e60\u548c\u4f20\u6388\u6982\u5ff5\u7684\u5177\u4f53\u6559\u548c\u5b66\u7684\u73af\u8282\u6ce8\u610f\u5efa\u7acb\u8054\u7cfb\uff0c\u8fd8\u8981\u6309\u7167\u5b66\u79d1\u601d\u60f3\u5b66\u79d1\u57fa\u672c\u95ee\u9898\u57f9\u517b\u5b66\u751f\u5bf9\u5b66\u79d1\u7684\u60c5\u611f\u548c\u5b66\u4e60\u65b9\u6cd5\u7684\u89d2\u5ea6\uff0c\u5148\u5efa\u7acb\u6574\u4e2a\u5b66\u79d1\u77e5\u8bc6\u4e4b\u95f4\u76f8\u4e92\u8054\u7cfb\u7684\u5927\u56fe\uff0c\u7136\u540e\u901a\u8fc7\u8fd9\u4e2a\u5927\u56fe\u6765\u6311\u9009\u5c11\u91cf\u7684\u6982\u5ff5\u548c\u8054\u7cfb\uff0c\u505a\u8fd9\u4e9b\u9009\u62e9\u4e86\u7684\u4f8b\u5b50\u7684\u7406\u89e3\u578b\u5b66\u4e60\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6211\u4e00\u76f4\u5728\u5b9e\u8df5\u548c\u63a8\u5e7f\u7406\u89e3\u578b\u5b66\u4e60\u548c\u6559\u5b66\u3002\u6709\u4eba\u8ba9\u6211\u7ed9\u4e00\u4e9b\u5bf9\u6bd4\u7684\u4f8b\u5b50\u3002\u4e00\u65b9\u9762\uff0c\u6709\u4e9b\u6750\u6599\u786e\u5b9e\u5f88\u96be\u7528\u7406\u89e3\u578b\u5b66\u4e60\u7684\u3002\u53e6\u4e00\u65b9\u9762 &hellip; <a href=\"https:\/\/www.systemsci.org\/jinshanw\/2016\/06\/14\/rote-v-s-meaningful-learning\/\" class=\"more-link\">\u7ee7\u7eed\u9605\u8bfb<span class=\"screen-reader-text\">\u201c\u673a\u68b0\u5f0f\u548c\u7406\u89e3\u578b\u5b66\u4e60\u201d<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[223,169],"tags":[114,155],"_links":{"self":[{"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/posts\/1860"}],"collection":[{"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/comments?post=1860"}],"version-history":[{"count":1,"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/posts\/1860\/revisions"}],"predecessor-version":[{"id":4149,"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/posts\/1860\/revisions\/4149"}],"wp:attachment":[{"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/media?parent=1860"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/categories?post=1860"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.systemsci.org\/jinshanw\/wp-json\/wp\/v2\/tags?post=1860"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}