Aprendre entre iguals

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Jornada de bones prctiques educatives

Jornada de bones prctiques educatives

Aprendre entre iguals: com treure profit de la diversitat a laula

Anna Corts i Eva Salvad

Abril 2013

C:\Users\veronica\Desktop\tutoria entre iguales.jpg

Qu s la tutoria entre iguals?

Mtode daprenentatge cooperatiuParellesRelaci asimtrica (tutor/tutorat)Aprenen tant el tutor com el tutorat: ensenyar s la millor manera daprendre (Duran:2009).

Metodologia d'inici de la tutoria entre iguals

Formaci

Habilitats bsiques

Rol a desenvolupar

Creaci de les parelles

Alumnes de diferent cursLa diferncia de coneixements entre el tutor i el tutorat no ha de ser molt gran

Lalumne amb millor qualificaci de cada grup sha daparellar amb el seu homnim

Alumnes del mateix cursPoden ser tutories de rol recproc, amb intercanvi de papers

Els nivells de competncia dels components de la parella han de ser com ms similars, millor

Temporitzaci i activitats

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Temporitzaci i activitats

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Temporitzaci i activitats

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Temporitzaci i activitats

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Temporitzaci i activitats

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Procs d'autoavaluaci

Autoavaluaci

Valoraci del progrs acadmic

Valoraci de lactuaci del tutor

Proposta de nous objectius

Criteris i activitats
per a l avaluaci

Avaluaci inicial individualSeguiment de l'autoavaluaciObservacions de les parellesRealitzaci de les fitxes d'activitatsProva final individual i dossiers

Inconvenients del mtode de tutoria entre iguals

Baixa qualitat de l'ajuda per part del tutor respecte l'ajuda del professorat:No detecci d'errors

Informacions errnies

Impacincia

Altres exemples

Read OnJoves guiaTEI per acollir immigrantsLlegim per parellesFormaci continuada del professorat

Read On

Objectius:Millora de la competncia lectora

Estimular i motivar la lectura

Incrementar la seguretat i l'autoestima

Competncies socials i de cooperaci

Implicaci de les famlies

Estructuraci:Paired Reading: llegir en parelles

Paired Thinking: pensar en parelles

Avaluaci:Proves tipus test

Qestionaris d'avaluaci (professorat, alumnat i famlies)

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OhSSoBaZ6JKRIMLgDt/jVbLl1MqphZSXiJG/bIg84BIB1AI3dVNfNIcnm1QY9lQ7/rCkmFYktQ0cWUj2ivXw1pep9MzzaTxkad27SuypwkrtFd4atTjmT0F1i2pLSUqjMBBiorT4doWZgnIT17jw9oaUx1nYz8P1POdofh+v7BU35MttfQ3uZdJLDxAnX6NW4KA+yePgahFKMOslPOttI1U4pKB3qIH+/hVOnJxkmjPpTlCScTqRNZrXbt5UpG+ABPcIrZW2eiCsTXi4eCEqUowlIJJPAAST5VRG0nKfdPur5l1TLM9BKYCo4EqiZO/xilVKsaa1E1q0aSuyS8uYMWvT0+k6E9ielHZuntqqKUXuIuvKzPOLcV1rUSfCd3hSesurPPLMjFr1FUm5IKBRRShJ0ZsB/6bayZ+iGvnUgmuY8P2huWBDL7rY3wlZA8t1WTyb8o7rz4t7tWcufm3CADIE5VQNZG49kca06WIi7RNijioStAtSiiirZeEONYsi2ZcednI2JMbzrAA7SSBXOe0WPLvLhbzhPSPRTMhCR7KR/XXV3cqGHKew54I1LeVyOsIMq79JMdlc/Gs/Fyd1HoZeOnK6j0CtT3Dv/ka20nvD0R3j+dJwulaPzKNJXmkbrgnLmG9IPiDv+NZsX5cB01Qn8J/ka3Wdk67HNtqUewaeJOnnWxnYm55z+7QkbpWDAmYhM/0K9XKajJO5ep03KLR7VoswN5//K1uo6SiNMutSWy2HUr866TH2Ux5qV8KeLbYdgzPOEnec48Pq1yWIprQ6sNUIc27KeB3fwrRcKkgaaGT26VM7zk1gE2zhnToORB7M43eIqEOoWlxaVIXKFFCugo5SCZkgEcKZGtGa0ISozg+R6urk5oTAgD8ZNFIX3ElZIIAIG/snroobdzigWg5yMXJUFelNSP1V+NJbvkKuHDKrlk/sL8KuqKKyLs9G8bWfN/oU23yKXQAHpLIAECErHnWu+5ELlxAT6QzIVmnKviIIiOuPKrooii5yWMqyVmykWeQi6T+lMwd4yua04N8jNwAB6Q1pv6K9at6iuEHiajVrlG3XIBcqOlyz91fbTn6jnfeUfcV8at+KKXOlGfiKdWlGrbP0Kf9RzvvKPuK+NO+ynJOq0um31vpWG5ISEkSSkgak8JqyaKgsPTTukKjhaUXdIwKzRRTyyNu0mGKubV5lCggupKMxEgAkBWn+GR41WR5DnfeW/uK+NW/RSp0oz8QmpRhUd5Ip/1HO+8o+4r40eo533lH3FfGrgoqHDU9hfB0tin/AFHO+8o+4r40eo533lH3FfGrgoo4ansHB0tin/Uc77yj7ivjSnDeRt1l5t0XLctrSsfRn6qgeurXorqw9NO9gWEpJ3sFFFFPLRpumAtCkHcpJSfEEGqmPIc5wuUfcV8at+ilzpRn4hVSjCp4kU/6jnfeUfcV8aV4byOusrKufbVIIgoPEgzrPVVq0VCNCEXdIXHDU4u6RXp5On4/PNmNwIUAPKkj3Jxek9G4t0/sLJ/GrNoqxcsWKzb5L7reu7zdgzpH4a0tt+TdxP8Afa/4nD/E1P6S4jfpZQFrmCpKdBOq1BKdO80mcE9W3+ZJTyakbsdlbhtQzPIWjiCFT2QrePGRTkcAMkhSRO/Tf29/bT0k1maYlZWBu7uMf5O9ZQe9NFPtFdOBXlSwNSQO+vDjvAbz+HaaiGM7eN2t81buAEOJB5wkaFRASUgcPaEDWY4GaAJebgcAT3A/xrHpA4hQ70mojtJtE8lbjYC0JKAAAytZOdtSipTqVpDZBGQRmgiTv0R7G489Fowc6gEIQoLZcGnM5irnytQUpJTqkge3AOlAE+SsHcQa9VD29t23MRNo2kEALl5J0zJAJE7iEwoGeMRuNSpl2dDG6QRuUOsUAbqKKKACmHa/aMWrIyQX3VBtlBBOZSiAJAIMCZ39VLsfxL0e2ee/6balDvA0HnFV43aG3ZYubhSnX+aXdOLcJJAQjKy2kn2RzjqDA4ieFLnK2iFVJ20Q8bOYHcuh24F462tb7wCUgKaISsoENOTGqSdDxp9DeIDTNaLH2il1JPaQCQKV7MtZbO3H/aQSeslIUontJJNOddjHQ7CCSGFQxHh6H/8AdW1Nvene7bJ7UtOKPkpwCnmiu5SWUYThl6BIvEKVrIVbpynq9lcjzNI38avLVWa7abXb/WdYzlSP1ltK1KOsg6VKqwpNGXY447MYsX2xYYbQpKudU8PoW2+kp3gIjcJO80mbwu9uEg3D/owP91bxI/xPLkk9iQBRsjhbSV3a0oSFm5dTmA1gRAH2RqdB1nrqTAVFJy1ZFJy1ZEhsAUqzt3t6hZMlRdCp70qTFLE4Tfo9m8bc6g7bpHmptQ18KkVFSUEiSpxXL1GDLiP/ALLye+NZFviChCnLVvtQ24s7upSwJp+ooyncpFBcuWVw2Li4cebuAUZlpQlLawRk0QBCVTEnjHXUqBpo2jtUqShS0BaUqyrBE9BwFtfgCUqPYmmzALxbF47YuqKkhCXLdR1Jb9lSCo6qKTpJ1iuLuuxFd12JXRRRUxgUUV4U6Nezf2UAe5pg