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u5xh+4WidMIUJcbeqTZGEMuvpXN5iFfNVfRGVhihK6P7A9piXi6jOnrBMm29X8siS9kGShNwujRUiykGQhScIcI2STMAQJg1WYbcISVmH/WhVFcblcPp8vIyMjJyenbdu2U6dOXb9+vfhto05tOZ+2is9kMrVt23bAgAFZWVlTp07dt2+ftm1sIOxpKdFms/3tb3974IEHZFlmbiepDwAAABdShTv9D92A9g3Xg6GKsNQQlqpCbxGm4PNxzhAqQhoJY6gIriEkSQRFClOIMNvETbLpi9fr3bp16y+//JKQkLB8+fLu3btPmTJlwYIFPp/P5/PJsqzFOZ1Op6W+Rx999OGHH/7000+/+eYbr9fr8/m0ng2BkqAsy6GhoWPGjHniiSe0tuxlV/qB1AcAAFBZRLUUPRaef1yYLvxekXtAZK0X7hzhK2F4KhJJ6CxC1gvZIGT9+UqdrBNhrYUpSoTWEgarsNmFrBMh1YQhROiDhd4qZL3QGYXOIHRGId/EcxcVRdm7d+/06dObN29eUFAQHBx87ty55cuXl9u+Rct+kZGR7du3v++++1avXr106VKv1xs4QVEULdRpMznbtm37wAMPaJFPe4oNR0h9AAAAlU5ItGgysPxBX6k4t1+c2SROrxIZm4TiZpz+MFnIeiGk85Mqz8+u1AtLLSHJwhwqZKMwhQiDReiNwlhF6MOE3iyMQcIcKnQGYQwWkiSM1YTeIgzBwvhbnNMb/wpj53A4tm3b9uabb7Zu3frxxx9fsmTJHXfc8d577+Xm5mo7u2hBTstsrVq1eu6552rUqPHdd9/NnTtXa89QNhlKkmQ0GnU6Xbdu3caOHVunTp3A5aS+6/v/LRhcAACAikjxi8RXxO5Xr/R8c7SocivDVmZAwoTBLCxhwmwX1lrCFCYsEcIYLMyhwhrxF8lsf1BxcfHUqVNnz55ts9k2bNiwa9eupKQkm802efLk/Px8Lappwc9oNNapU+fzzz9PS0v77LPPNm/e7PV6A3t1ng/fsmw0GhVF6dev39SpU6Ojo7UZoYzzDUCtDwAAoEKSdaLNsyL7V5G+Rogr+N/00Z3E3V8wbGUGUC8kWeh0V79jzV+Yqqoul2vmzJkzZswoLS0dNmxYcnLya6+9Fhsbu3bt2vz8fPHbtExZlu12+/Dhw+++++7ly5fPnDmzqKjI4/Fo9wmU8oQQRqPxlltu6dKly/Dhw+12u2AVH6kPAAAAwhIhWo0Rjj3CnX1FIcdoZcxwrSLf/Pnz3333XZfLFR0d3aVLl6lTpyYlJR04cODcuXPn/+JkWZKkmJiYiRMn3nnnnfPnz58xY4bL5fJ6vWUjn/YgKiqqX79+jzzySLNmzaxWK5GP1AcAAIDfVG8lLFWuKPUB1yjyqap6+PDhmTNnOhwOSZLsdrvf79++fbvX6z137lxgE05JksLCwp588snOnTu/9dZbCxcuLC4uVhRF68unLecTQlgslkaNGvXp06dHjx4Wi6W0tNRqtRL5SH0AAAD4jSVMVO8h8g4yErh+ArtralGtoKDgo48+SklJEUJER0f369dv8+bNGRkZZbfilCSpevXqzz77bEJCwvTp07/88svS0lJRpnefEEKSpBo1anTs2LF169aqqq5cubJ3794mk4nIR+oDAABAGZIk7B3EwRmMBK4fremC1+vV6/UlJSX//ve/Fy9e7Pf7TSZTXFxct27dRo4cqZXvVFXVtmBp1qzZyy+/3KBBg+eeey4xMbG0tLTcJpFae4bCwsIdO3b88ssvLpdr2rRpt912m15PACH1AQAAoJyI2owBrjctsx06dGjNmjVlGzPExsbu2bNn7969Wnc+WZZlWe7Zs+fEiRODg4NfeeWVDRs2BCp7geCnxUhJkrSdXbp06TJq1Kj4+Hifz0fqI/UBAADgApYwxgDXO/IpipKYmDhv3ry1a9empqZqm3OGhobWqVNn8eLFWilPq/J169bt9ddfdzgcEydOXLNmjSRJ2pzPQKd1bf6nlv1iY2N79uw5cuRIi8Wya9eudu3aMcOT1AcAAIALyCahCxF+JyOB65f6cnNzv/zyy61bt+bm5sqyrLXa8/l8ycnJ+/bt8/v9WuSz2+0jRowQQnzwwQcbN25UFCXQqF27jyzL2gOdTte4ceOnnnrq7rvvNplMX331VcOGDU0mk6Io2uRPkPoAAAAQSH1mYSD14TpGPr/f//nnny9evNjn82mbsmjHi4qKli5dWlhYqKW4mjVrTpkyJS4ubsKECUuXLvX5fOX2btE29pQk6bbbbktISOjTp09sbOzBgwe/+eYbm83WsWNHbYIoY07qAwAAAHDjlJaWrlu3Tmu1pzVdCOzn6fV68/PzZVnW6XRdunR56qmn2rRp89RTT61evVpryidJkl6vD7RqqF279h133BEfH9+vX7+aNWseOXLk+eefX7t27d133z1u3Ljg4GDmdpL6AAAAANwggTYMy5cvnzZtmsPh0MKb+K03g7ZCz2AwCCHatWs3bdq0qKioV155ZeXKldqsTq1wFxoaGhkZeccdd2jN3Js0aWK1WlNTU5csWfL999/v37+/V69eo0ePDgkJYcxJfQAAAABuKJ/Pd+7cuVdfffXYsWNaia/sXiyBXFetWrVJkyZVq1Ztzpw5X331lfZsaGhotWrV6tevf++99zZr1qxZs2ZGo7GoqOjgwYO7d+/+/vvvd+zYIUnSgw8+OGHCBLvdzmiT+gAAAADcaDqdbvv27WlpaT6fT9u+Rfx3AwZVVatWrfrII4+0bNny888//+STT1wul6Iosix36NDhiSeeaNq0aXR0tKIo586dKyoqWrJkyerVq0+ePJmXl+f3+9u2bTtmzJjq1asz1KQ+AAAAADeaqqqlpaXz58/Pz8/X2q9rx7XpnUIIWZZr1679zjvvdO7cefHixW+88UZubq7WtU9V1b179y5YsKBOnTo+ny89PT0pKcnlcmnd+bT79O7d+6WXXqpZs2a57u0g9QEAAAC4QVJSUhITE7VmfYF9VgIPLBbL6NGj+/Tps3PnzjfffDM3N7dsYkxNTZ03b17Zq7T2616vV5blQYMGvfnmm3a7ne1bSH0AAAAA/hylpaWrVq3Kzs4um+W0B1oDho4dO/bt23fnzp0ffPDB0aNHtT7sgXO0mGc2m7Vb+Xw+n88ny7Jer2/cuPEzzzyjVfnKLhQEqQ8AAADAdRco6x05cuSbb77xer1ld+xUVVUr2cXHx0+aNCk/P3/MmDE7duxQFCWw8E/Lh5Ikeb1en8+n/ajX61VVDQ8PHzx4cJ8+fVq2bEneI/UBAAAAuKEClTftxy1bthw/fjzQmk8IEdjGMygoaOTIkXFxcU899dTWrVt1Ol0gEwbupu3wqUVB7YHRaPznP/85atQorQBI3iP1AQAAALihAgFPUZSSkpKVK1dqj8s+pe3g8txzz3Xo0GH69OkLFy7UerWL/97bU5Tp6afT6aKionr37t2jR49bb721pKTEYDAYjUYGvEKRGQIAAADgr0BV1cLCwuPHjycnJ+/fvz/Ql08r5en1+qioqHHjxj3++OMbN2586623tD4NgWsvvJskSREREY888sjAgQM9Hs9nn33mcrm0OaKoUPiVAAAAAJWfVp07depUfn7+mTNnnE5nYPdOnU6nnXPLLbckJCS43e6VK1c6nc5L5b0AWZZDQkKysrK+/PLLgwcPJiQkREdHM7ezAqLWBwAAAFT+yCeEyMzMXLFihdls3rBhQ0FBgc/nCyQ0nU5XpUqVp59+WqfTTZ069aeffvL7/X6//zL31LLi2bNnFy5cuGHDhhYtWjz77LNGo5FNXCogan0AAAD4PfJTRcEZIYSwtxZ6M+NxU5AkyeVyffzxxx6Pp6Cg4JdffvH7/bIsa3U8rePC6NGjW7VqNXXq1FmzZrnd7nIL+cqRZVlr8FBaWtq0adNx48b16NEjJCREURRZprBU4fArAQAAwBVTVXHwG7Gsl1jeRxTlMh43C5fLNXfu3C+++KJu3brr168/ffp02c57QogBAwYMGTJk2bJlc+bMcbvd4rctPS8TIyVJCg8PHzhw4NixY/v27RscHCzYurOiotYHAACA3xH7RMFp4SsUkk4IleG4WaSmps6ePdvn88XExPz73//Wcl0gpEVGRo4aNSo7O/vDDz/My8vTnirboK8srU+DLMuRkZFDhgypVatWWFiYXq8vW+Ir2yICFQG1PgAAAFx56FNFYRrDcNM5ePDgoUOHGjZsKIQ4cOBAIJuZTKawsLD77ruvXr16s2fPPn36tDZvU1y6aqcoitVqjYuLGzZsWJUqVRYvXlylSpVykY8Br2io9QEAAOCK+T0iJ5FhuHlCuiqEcLlcGzdudLvdderUycnJcTgcOp3O5/PJsuz3+4cOHap1Y587d67L5dK684kyTdvL3TMkJKRDhw61a9fes2fPmTNnnn322caNG5ddznf5BYEg9QEAAKBic2YIXz7DcLNEPlVVfT7f/v37d+7caTKZWrdunZKS4vP5AhMyY2Njn3nmmYiIiOeee87hcJRNa2UX/mmPtRxoMplSU1PXrVun0+lefPHFQYMGaTu7lH1ppneS+gAAAHDTyvyFMbhZaPW3o0ePfvzxx2fPnq1Vq1bbtm3Xrl0ry7LWsyEoKGjMmDGSJL333nsbNmy4VI2u3PG8vLz8/PyaNWs+8cQTTzzxhE6nI+OR+gAAAFCJpG1mDG4W2gq9xMTEb775RlGUVq1a6fX6oqKioKCgwsJCnU5355139u7de+LEifPmzXO5XJdJj1rwC7R5aNmy5dSpU+Pj47XIR+oj9QEAAKCyUPziXDLDcLOQJElRlOPHj3s8HkmSjEZjSUlJYWGhx+ORZTk0NLRv3775+fkbN250uVyBOZzlyn2BvBdY5lezZs0nn3zy9ttvN5lMWiBkqEl9AAAAqBT8XnFgnsjZzkjcRAoLC7dv3y6EUBRFVdXjx49nZ2f7fD4hRN++fe+7775p06adPn1a29zlonfQFuypqmo0GsPCwrp37z5y5Mhbb71Vr9cH+ryrqkpndlIfAAAAbnKqKnZ9Kra9JISfwbiJZGZmnj17VqvIOZ3OXbt2FRQUSJIUFhY2ePDgPXv2fPXVVx6PJzB1s2yhT5u9qU0TtdvtPXr0SEhI6Nq1a0hISNkdOwV7t5D6AAAAUBnknhC7Xxe+AkbiJuL3+/Pz851OpzYzMzs7e9euXR6Px+/3t2zZMiYmRtvlJXC+1pY9MJNT25nTYrGEh4cPHTq0a9eujRs3Dg4OFr8VAEHqAwAAwM1PVYU7X5xcIXZOFa6zjMdNxOPxbN++/fjx4wUF57N6ZmZmdna2EKJdu3aTJk06cuTIt99+6/f7L9y302q1BgUF1a9fv379+h07djQajR6PJyIiIjg4mLIeqQ8AAACVIOkpwu0URZkif59I3yUOfync5L2bT0FBwZQpU6Kjo/1+f2BHFlVVIyMjx44d27Rp0wceeMDhcEiSFB4ebjabQ0NDg4KCLBZLzZo1Y2Njo6OjY2Njjx49unXr1qpVq/bu3btJkyaMKqkPAAAAf6r09eL73n/0Jr5iUZopfB7hLRalDqGyiu9m5XQ6d+/effjwYZ/PV3YHzh49erRp0+aHH37Ys2ePEEJbs1e7du2GDRtarVbtNK/Xu3PnzkWLFjVu3Piee+5p2bJlrVq1tMWB1PpIfQAAAPjzuDNEWgbDAE1OTo7L5Tp37py2e+f5r/56fe/evQ8fPvzhhx/m5+cLIVRVTUtLczqdmZmZHo8nJyenuLhYkqRWrVqNGDGic+fOUVFRkiRpE0ElSdLpdIwtqQ8AAADAn6+wsNDn85XbmqVFixYNGzb8+OOPU1JStDQoSVJ+fn5RUVFWVpbRaPT7/eHh4X379n3ooYfi4uIsFotW3NO2b6HQR+oDAAAAUCGoqlpQUKA1Zw80Uq9Ro8aYMWMOHTr03XffBfKb1ojParVGRES0aNGiefPmsbGxBQUFwcHBgchH3iP1AQAAoOL4g1/NVUawkvwdSFJpaUz864sAACAASURBVGkg70mSZDab77///q5duz7xxBO5ublaaz6tHV+jRo2aN28eFxdXr169Xbt2zZkzp2nTpg899JB2AoNJ6gMAAECFYb9btJ3yh+7gzRPePOHzCHehcKYKR7IoSBWFh4TqY3RvOhaLRafTaclNVdWWLVv+4x//2Lhx45YtW3Q6nc/nE0Jo6/3MZrPb7V69enVmZqbT6fznP//56KOP2mw27QSCH6kPAAAAFYa5irC3vva3PbFG/PxPkb+PAb65hIeHG41Gr9erVfzuu+++/Pz8qVOnOhwOrRu7xu/37969Ozk52WAw6HS6iRMnjho1ymAwBOqEqBxkhgAAAACXFNtV3P2tCG3OSNwstL58oaGhBoNBr9drCTAuLm7Lli0HDx7Uni17vt/v9/v9Pp9v4MCB/fv3NxgMQghZlkl9lQm1PgAAAFyaJIuo5qLfYrFyiMjeJgQd/G4O0dHRYWFh2s6cAwYMkGV5+vTpTqdTCKHT6QK7vKiqGh4eXr9+/ccee2zgwIFhYWH/9csn+FUW1PoAAADwv4TXE/1/EnUfYCRugpwuSZIk2Wy2+Ph4RVEiIyPHjBmzadOmU6dOaQ0Y9Hq9yWSSZTk0NDQ+Pv6dd9759ttvhw0bZrPZiHmVFbU+AAAAXAFzqGj1vDjxLSNxU1BVVduypV69ekFBQb/++quW97QmfjqdLiYmpnPnzg888EDbtm1tNpvW04/UR+oDAADAX1uNW0X1DiIzkZGo4HlPCLF79+61a9eqqjpo0KC0tLSYmJjBgwcrihISEtK0adPY2Ni6deva7XZtq0/CHqkPAAAAEEIIIelIfTdL8Fu0aJHb7Y6Li+vTp090dPS//vWv879DSaIfw18Q6/oAAABwxao0YgwqvrS0tKSkJLvdPmTIkMjIyEDS0zZx0WKhoigX7ucJUh8AAAD+8sJp4VChqarq8Xg2bNhw+PDhLl269O7d22g0SpKk7eMifmvJoB3RHjBopD4AAACgjODqjEEFV1xcvGbNGkmSevbsabfbGRCQ+gAAAPB7WKsIfTjDUGGpqrpt27Z169a1bNmyR48eBoOBOZwg9QEAAOD30BtF9bsYhoqZ9zTr1q3Lzc3t0aNHaGioNoGT9XtgD08AAABcOVnU6ixcp4UkC5lvkn9Ouiu3GK9soktNTV27dm3t2rV79epV9szA9i2Komibu4jf+rkHVvexzI/UBwAAAAghSeK2UaL1U0IIIesYjxtPURSdTlfuiJbZ3G73rFmzHA7H0KFDa9eu7Xa7/X6/1+sVQhQWFhYVFTmdTqfT+Z8koNdbrdbg4GCz2Ww2m202m16vl2VZlmWdThfYAAakPgAAAPz1gp9E3vtzXFjo02p3Qgi/3+92u8PDw8eOHdu+ffusrKzU1FSHw5GZmanT6UJCQoKDg00mk9Vq1ev1RqPRaDRqMz+dTmdBQYFOp9PSY3BwsMViiYyMDAoK0hq4BwqDjD+pDwAAAMANCN3/mbQpfuu67na7HQ5HampqVFSU0WhMTk6WZbl69eo1a9Zs2rSp1Wo1mUxGo9FgMBgMBq1ngyzL2oRPn8+nTf70/8bj8eTl5eXl5RkMhqCgIJPJZDAY9HqCA6kPAAAAwA2JfIqiaNMvJUnKycnZt29fRkZGSkrKunXrUlJSxo8f//zzz2vp7sKgqKqqdjwQGk0mk1YwLFvN0551u91er9fj8QghSH2kPgAAAAA3QmCvTqfTuWrVqpMnT9psttjYWJvNdujQoWrVqt19991Go1H8VgYsFxoD0a5sxrtwCZ/2rNlsNplMjDmpDwAAAMCNI0mSTqfzer3Tpk0TQtx9991t2rSRJGnFihUul2vo0KENGjQI7PjyBxfjsasnqQ8AAADAnyAvL2/t2rUul2v48OF169aVJCk7O3vHjh3R0dHdu3e3Wq3ayj0GCqQ+AAAA3PRKS0vPnj2rqmq1atWCgoIqR9RRVTUrK8vpdEZERERERJT7UE6nc/bs2Tk5OSNGjIiNjRVCeL3eRYsWHTly5L777rvjjju01gv8baAs/iAAAABw3fi9ouCsKDgrSvKu+b2zs7OnTJnSoUOHhISERYsWlVvDdvNGvs2bN/fv379Nmzbvv/9+UVFRuROOHj2ampr66KOP1qlTRwuE6enpCxcuDAsL69+/f7Vq1fijA6kPAAAAN1DaVjGvoZjXUOz9+NreODMz87nnnvvwww8dDsff//73+++///IFrry8vOzsbK1l+TWhKEpubq7L5bpM2lRVNT8/v7Cw8Arv6fV6P/300yeffHLXrl21a9ceNmxYcHBwuXMOHTrUvXv3WrVq+f1+SZIURdmwYcPu3burVKnSuHFjQWM9kPoAAABwQx34QniLhS5I1O0TOLZ+/fpXX311//79ZdPR8ePH33333cGDB/ft23ft2rWXv6vP53vllVcWLlzodDo7dOjw4osvms3mi57pcrm+/vrr3r17t2/fvkOHDnfdddeGDRuEEMePH58wYcKgQYMWLVp0qVdxu93vv//+li1bLsyKqqp+/PHHCQkJM2bMcLlcFz6bkZGxcOHCgQMHtmvXrlOnTpMmTfr111/9fv/lY+S8efMmTJhw9OhRRVFGjBgRExMTiHCKz+crLVVV9ciRI7feequ2taaqqrm5ucuXL3e73R06dKhRowapDxfFuj4AAABcH44T4tgCIYSIaC6qNQscLiwsnDx58tKlS3/99VetQHf06NEHHnjA6XQOHDjw/fffl2W5W7dul7lxXl7e0qVLtSJb+/btL9Nd4Ouvv/7HP/6hxS2DwVBUVPTZZ5/ddtttY8aMWbp0qRCie/ful7o2Ozv7k08+CQ4O/vHHH8vNnDxz5swbb7xhNBqHDx9utVrLXZiRkTFhwoS5c+dqL9qrV6/p06e///7769evv/XWWy8TZVetWpWXd34qbIcOHco+K8myMzMzzG6PiopyOp2qqhoMBkmSjh07tnv3blVV4+LitIYNwIWo9QEAAOA6yEoWqx4UilsIIeydRZkC1MGDB7X/arFt+fLlXbt2bdy48fLly5s2baqq6r59+wLh50IpKSldunSJi4urU6eOEMJms10qRC1cuHD8+PFa5LPb7UlJSfv37zcajcOGDVuxYoUQomfPnv369bvo5YqizJgxIzU1df/+/fn5+eWe/fe//52dnT1gwICIiIgLr12+fLlWQoyMjJw+ffqXX375448/3nHHHbNnz77Uh1JV9YMPPkhJSbn//vuFEBaLpdzcTkmWreHhkiS1bt168eLF2dnZ2pv89ddfs7Oz69Wrd5k8CZD6AAAAcK35SsWqYSInSQghJJ2o1bXsk/PnzxdC1KhRQ5KkrKysV155ZfLkyV999VV0dPRnn33m9/v1+kvOR1MU5bvvvouIiPjiiy8sFosQ4lIFruTk5Icffjg3N1f7cfz48XFxceHh4ZmZmevWrfP5fI0bN541a1ZkZORFL9+3b9+cOXPcbnfDhg3LBUu32z179mxJkrp27XrhhQ6HY8GCBU6nUwgxZswYbW1ex44dhw8ffuDAgUt9rpycnEWLFs2ZM6djx47aS2gN98oyBQWpqlq/fv3S0tJly5Z5vd7i4uI1a9YIIW677baaNWvydwdSHwAAAG6UzF0ib9v5x5aawlbnv57MzBRC3HLLLZIkbdy40ePx9OnTx2AwpKen79u3TwgRHh4eHh5+0RsXFhZu3rx55MiRFotFC4eX2sRl69atPp9Pe1y3bt17771XCOHz+fLz8/Pz8/V6/bBhw6Kjoy/1CRYtWqTtn9m6deuyqU9RlFWrVqWlpVWpUqVJkyYXXlhQUBAoVHbs2DGwys5kMlWvXv1SL7d48WJVVVu2bKmFPVVVL/q5JEkKCQlp2bLlkSNHsrKy0tPTMzIydDpdw4YNrVZr5djFFNcD6/oAAABwTSl+sePN//xY914RHBWITOvXrw+kqU2bNo0aNeqjjz6qWrWqtj+K9lRcXNxFb+x2u1988cUqVar0799fr9eHhYUJIc6cOXPhmQ6HY86cOWaz2e12d+3a9Z133qlSpYoQYvPmzSkpKUKItm3bDh8+/MJ6WkFBQWhoaFFR0aZNmxRFsVqtAwYM0IqKmsOHD8+YMcPtdjdr1uzCFOf1etPT03NycoQQ/fr1a9q0qXbc6XQePnz4UusPt2/fPnny5GnTpsmyHEiSOTk5Fy3f6fX6rl27ejyepKSk9PT0rKyshg0bdunS5TIFUoBaHwAAAK4dv1fsnS1O/3j+R0knWj0n5POB5Ny5c3v37vV6vXfcccff/va3efPmjRgxQltZ53A4Vq9erZ2mNR8v69ixY0VFRcOGDVuwYMELL7xgMpl0Op0W5A4cOHBhjWvx4sXJyclut9toNE6ZMkWrKxYUFPzrX/8qLS0VQtx///0XbvuZn5//+eefK4qyZMmSlJQUVVVjY2MTEhIC9bqsrKyhQ4du27ZNCPH444+Xm1yqqupHH33Uu3fvjIwMvV4fHx8feAmfz7d169ZWrVpdZMD8/okTJ953330DBgwQQsTExGhVvvT09ItnakUxm809e/a02+3r1q3z+/3t2rWLi4uTJIndO0HqAwAAwPWPfL+8JpLGCPFbDKvaRoTXCjy/fv36CRMmKIrSq1evvLy8s2fPjhs3zmAwKIry5ptvnj59WggRFhZWbr3ctm3blixZsmPHjmXLlk2dOvW2227TjmuNCjIyMsp2VlBVdfv27a+99pqiKEKIu+66q0WLFlpY+vzzzzdv3iyE0Ol0zZo1K/fez50799prrzVr1mznzp3vvfee1mRvwIABgSilqmpycvLtt9/u8/nMZvPtt99e7g6JiYnTpk3TOvhZLJbo6Ggtjvr9/p9++mn79u3laphOp9PpdCYmJmrBTyvWhYaGaiXEw4cPX3SMtfdjsViKiooOHz5ctWrVTp06BQUFXb5dIUh9AAAAwLVwao3Y+YrwlNl+s+Z/8pvP51uxYoXX6zWZTL1793733Xd79+4dFBQkhNi/f/+sWbO0ZXjdu3cvVxP75ptvzGbzkCFD/H7/4sWLz549qx3Xrs3Pzy+b+oqLi2fOnBk4p2/fvgaDQQiRmZn55ptvaltf1q1bNzD3UqMoyrfffrt58+Y2bdpMmjRp7969iqLYbLZevXoFzjlw4EBqampycrLJZKpXr165gqTD4fh//+//BV7X6XS+/PLL2o+Kohw8eNBqtcbHxwfOz8jIeO+994YMGXLPPfccOnRo4cKFgVCn5TdtmuhFU58sy6qq/vrrr4qiREVFtWnTRlVVLeUCpD4AAICbkOoTiucmeJ+KXyR/XP5g1f+U1NLS0rRSW61atbZu3bphwwatV57b7X7llVcCye2BBx4ILLdTFOXkyZNLlix58cUXg4ODv/jii+HDh7vdbu1ZrVFeYWGhtj2MJjMzc9myZYEGfV26dNGOJyUlaeU7IUSdOnXK9UXYv3//1KlT+/fvn5OT8+uvv2oHY2NjA6vs3G73jz/+GB4eXlhYGBQUFBUVVbZNn6qq3333nbYVjRCiY8eOH374YW5u7ksvvZSdnX3mzJmFCxc2a9YsMCP02LFj99xzz7/+9a8VK1bUrVt3+vTp4eHh2ucym83atqInT5685F+EqpaWlp4+fdpgMNjtdpPJ5Pf7md6Jy2DRJwAAQMXmKxKec//7NE/en/kmS3JF0mvizMr/OiibRY0OgaAyZcqUrKwsIUTLli0//fTTESNG1KtXTwhx+vRpbaWcEKJv3749evQIXLJmzZrRo0cXFxeXlJQMHjx44MCBZZNPenp6cHBwfn5+2TLXzp07A+mue/futWvXFkKUlpZu2rRJr9draXDkyJFlF/Wpqrpo0aKEhIThw4cvWrTI5XIJISwWy1tvvRXYxyUtLc1oNIaFhWVlZTkcjvj4+LI7wRQXF3/99dfahUKIBx988KGHHmrWrNnLL798//33h4aGOp3ORo0azZw588yZMzk5OceOHTMYDOfOnQsODn755Zf79+8fyGz5+fnHjx8PCgoK3O2iqe/48eM5OTlGo7FZs2Y///yzzWa788479Xo92Q8XRa0PAACgYit2XFk4/FNT3/a3Rcq7QvX+18E694vQ87tQOhyOVatWaXM4S0tLbTbbiBEjtKmM27Zty8jIEEIYDIbBgwcHamjHjx9/+umnzWaztrFnYDnf+Y/r8504caKoqEiW5bJL2k6cOKE9MJvNjz76qFZeS0lJsVgsjz/+eNWqVYUQ5aZ3Hj58ePXq1W+++WZERMS6devatWsnhOjRo0fnzp21EKWq6vfff//YY48VFhbm5+cbDIZyywK9Xm/ZCZldu3Y1mUzt27dfsWLF6NGjDx8+XKtWrRkzZkyePPmjjz7Kycl59dVXb7nlFp/PFxoa2q1bt7JR7eTJkyUlJcXFxZfqPq+FzJ07d3o8HpPJVKNGDYvFsmDBgrS0NCIfSH0AAAA3p7xTV3Sa1yW8rhv93lRF5BwQq/5PpHxQ/ilLDRH3aOCntWvXZmVlGY1Gu93ucDg++eSTqKjz7Ry0AqAQwm63d+rUSXvs8XhefvnluLi4mTNnanui7N+/v+ztf/jhB20qZlhYWNlO6x6PR+vo0LhxY61suGHDhueff75bt2716tULCwurUaOGdoImPT39mWeeue+++7QOgW63OzExUQjRvn17bXuVwsLCr7/+OjY2NiwsLCMjw+/3l5aWdujQoeybKSwsDKTNmJiYQGArKio6cuRIRETETz/9dPDgwcOHD586der7779v27atNqPV6XTu2LHj/Fiq6o4dO6ZMmaJlY22H0osqKSlxOp02m23o0KGdOnXq1KlTw4YNtV1h+OcCUh8AAMBNKG3DFZ1W4hCu3Bsd+Q5+JxZ2Eoc+Ef6S8s/W7Crs7bSHiqJoXcg9Hk+PHj3q16/fqFGjQGHK4ThfzGzbtm21atW0LDRx4sT09PS5c+e2bNkyIiJCCLFgwYLDhw9roWvTpk0zZ87UFsI1b9683HRNrb7XqFEjq9Wan5//3nvv6fX6jh073nHHHUIIr9cbmBGan58/e/bsY8eOPfroo5IklZaWnjt3TguZ2s4rubm5Q4YMWblyZd++fYUQhw8fNhgMCQkJF0aywFzQ1q1ba+VKn8/3/vvvjx8/fsiQIWFhYXa7PTw8PCIiwmg06nQ6repYWFg4duzYo0ePaun3448/3rNnjyzLsbGxDRo0uNTAezwebR/UYcOG1axZ02q1PvXUU3l5eefOneOfC0h9AAAANxtXgTiXeGVnZomz229g5FPFwUXilxeF96ITUCVRZ6DQn29K7vV6tVmaQogNGzZorRQCAlM3tT05hRDffvvtBx980Lt3b4vFYjQaGzZsKIQ4dOjQ8OHD33nnnenTpz/zzDOpqanaxM569eqV7ZsXFBSkbdQZEhKivdy+ffueffZZo9EYERGRkJCQm5ubn5+vnTxr1qxZs2b17NlTO9lkMtWqVUurmEVHRwsh1q5du3fv3qFDh5rN5pSUlAMHDni93pYtW5brtx4VFfXwww9rbyPQrWHLli1z58612Ww9e/YsNzo6na5z585ms1lV1QMHDowZM+brr78eM2bM+vXrfT6ftofNhc39Am0JXS6XtiOotj2pLMtmszk4OFjb1ebC7oWAbtKkSYwCAABAReT3iK1TROpKofqu5GyRvln4vKJqc6E3X6+kV5IrziaJU2vElhdF8jRReoniUlAd0e19IZ/f70SSJJfLlZiYqKpqaGjojBkzApUxIUTdunVDQ0P37t27d+/e5OTkr7/++rPPPuvTp8/rr7+uzbHMzc1dt26dz+c7c+bMpk2bNm7cmJWV5XQ6JUkyGAyfffaZViHUmEymjRs3FhQUtG3btkGDBu+///7TTz/dr18/WZZtNlt4ePj69eudTmeNGjU2bdo0adKkRo0affzxx4HAqShKSkqKw+Ho0aPH7t279+7d+3//939a/8A9e/bMnDkzNDR03Lhx2iYxAXq9/rbbbjt37lxycnJWVlZISMi8efNee+01g8Hw4YcfxsfHX7jizm63r1mzJj093e/3HzlyZPny5SkpKQUFBR6Px2AwjBw58uGHHy67YUxgJFVVzc/PDwsLa9KkiXaCoiiyLJ85c8blctWvX1/81tMP+M9fDv8zAAAAoII6ukz81P/KIl+ALKrEi7gRIqKOMEcLnUkYrL8/bXqF77clgp4cUeoUeaki54DI2S6cB4Wn4H+/pYYPip5f/3dgVGfNmvXSSy/NmjXr73//+wVxUt29e/eDDz547NgxIUTnzp1/+OGHwOo4r9c7bty42bNnBzbnFELIstywYcM33nijZ8+eZdORoii5ubmPP/74kSNHjEZjmzZtPvnkk7InzJkzZ+TIkTqdzuv1hoaGfvHFF2VrcdriugceeMDhcERGRr7//vu9e/cWQhQXF//f//3fggULWrRosWbNmtDQ0As/tMvlevjhhxcvXhw4smDBgv79+19qkJKTk5944omUlBRtIZ/GarX279//gw8+0MqP5VO3JCmKkpeXZzAYgoKCdDqdoiiSJLnd7nnz5t1yyy0X9o4HBJ0bAAAAKqjCdLHjzd8Z+YQQinAkiQ1JQggR1EgYQ4Slyu9+aW+xcJ+fAymKj1xNt8Aqt5Y7IEnSsGHDkpOTtfLdhc+2atVq4sSJ48aNa9eu3bPPPlt2B0uDwTBx4sTmzZuvXLny1KlTpaWlERERzZs3HzhwYMeOHcunXlmuWrXqM888c//991evXn3UqFHlKmZ/+9vfNm7c+NNPP9WuXfuFF17o1q1buXfSvHnz119//d13361bt25gMuqZM2cWLVqkraa7aOQTQlgslhdeeKGgoODnn39WVbVLly5aQ8JLadq06WeffbZy5cpt27bt3bs3Ojrabre3adPmoYceukjkE0JIkvYOw8LCZFmWfvvR5XL98ssvaWlpZXvKA//1t0OtDwAAoKJQ/KIgTa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M-Learning: Uso, características,
ventajas y desventajas
Citar así: Mejía, M. (2020). M-Learning: Uso, características, ventajas y desventajas. Revista Tecnológica-Educativa Docentes
2.0, 8(1), 50-52, https://ojs.docentes20.com/index.php/revista-docentes20/article/view/80
Introducción
En la actualidad, nos encontramos en un
mundo más inmersos en una sociedad basada
en la información y el conocimiento. Un
conocimiento que resulta de la paráfrasis y la
contextualización de dicha información, a la
que se accede gracias a un uso más cómodo e
intensivo de las Tecnologías de la Información
y la Comunicación (TIC) de las que se dispone.
A medida del aumento del número de usuarios
se ha pasado de un concepto eminente
instrumental, basado en vertientes
tecnológicas, tanto en punto de conexión como
en las diferentes modalidades de acceso, a una
interpretación cada vez más centrada en el
usuario y en los valores que éste consume y
genera. Se trata de la llamada sociedad de la
información, que consolidada definitivamente
con la globalización derivada del fenómeno
Internet.
Este paradigma de sociedad, a la vez que
va tomando representación, que implica a
aspectos esenciales de la vida, armonía y el
avance, afectando de manera muy específica al
binomio conocimiento-economía y originando,
de manera visible, profundos cambios en el
entorno habitual de actividad: entre ellos el
proceso educativo, donde se están
transformado los métodos de enseñanza de un
modo progresivo pero prolongado.
Desarrollo
En cuanto a las características del m-
Learning, se enumeran las siguientes: (1) El
uso de dispositivos móviles se caracteriza por
ser portátil para acceder a información de
manera inalámbrica. (2) También permite un
aprendizaje funcional, pues puede ser en
cualquier lugar o momento. (3) Lo anterior
permite el autoaprendizaje al acceder a la
información en tiempo real. (4) También
permite un aprendizaje objetivo, porque se
puede acceder a muchos recursos y de diversos
autores. (Moreno, 2019). (5) Permite el uso de
aplicaciones para el aprendizaje o creación de
contenidos. (6) Dispone de sensores tipo
acelerómetro, GPS, cámara, etc., que pueden
enriquecer los procesos de aprendizaje. (7) Cada
usuario puede usar su dispositivo móvil para uso
personal. (8) La pantalla táctil permite el uso de
otras funciones. (Universidad Politécnica de
Madrid, p.4)
Con relación a las ventajas del m-Learning,
estas pueden ser por su funcionalidad o
aprendizaje pedagógico. Las ventajas de tipo
funcional consisten en: Palabras de Moreno
(2019) que el Aprendizaje en cualquier tiempo y
lugar. (2) Interacción estudiante-profesor de
manera instantánea (3) Mayor penetración
debido al alcance o disponibilidad en cada
estudiante o persona. (4) Mayor accesibilidad,
portabilidad y funcionalidad. Las ventajas de tipo
pedagógico son múltiples: (1) Se puede ofrecer
un aprendizaje personalizado en cualquier
momento y lugar (Enseñanza Virtual, 2017), (2)
Se pueden usar los dispositivos en el aula o
empresa, adaptándolos en distintas estrategias de
aprendizaje. (3) Se generan espacios de
colaboración en procesos de enseñanza y
aprendizaje. (4) Se incorporan contenidos en
distintos formatos (p. ej. pdf, blog, multimedia).
(5) Se pueden usar una variedad de aplicaciones
gratuitas o de pago y las redes sociales con fines
educativos o comerciales (Acuña, 2019). (7)
Fomenta la motivación entre los estudiantes. (8)
El aprendizaje es autónomo. (Universidad
Politécnica de Madrid, 2013, p.5).
A la lista anterior se añaden datos
estadísticos de un estudio realizado a más de 500
estudiantes en un establecimiento educativo en
EE. UU. (Top Hat Staff, 2019). Los datos más
relevantes consisten en lo siguiente: (1) El 75%
de los estudiantes considera que los smartphones
les ayuda a aprender de manera más eficiente. (2)
El 94% de los estudiantes desea utilizar los
smartphones en su centro educativo con fines
educativos. (3) El 58% de los estudiantes desea
usar su dispositivo móvil para tomar fotos de la
pizarra o presentación. (4) El 41% de los
estudiantes utiliza su dispositivo móvil para
buscar en Google alguna respuesta. (5) El 39%
de los estudiantes acceden a algún texto digital.
(6) El 34% de los estudiantes