Enseñanza y aprendizaje de la función cuadrática utilizando un simulador geométrico desde el enfoque de la teoría de los conceptos nucleares (página 5)
Enviado por Master Luis Javier Aguirre Contreras
S01: Después |
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S03: Antes (El después no lo realizó) |
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S05: Antes |
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S05: Despúes |
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S06: Antes |
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S06: Después |
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S07: Antes |
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S07: Después |
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S08: Antes |
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S08: Después |
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S09: Antes |
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S09: Después |
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S10: Antes |
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S10: Después |
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S11: Antes |
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S11: Despues |
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S12: Antes |
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S12: Después |
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S13: Antes |
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S13: Después |
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S14: Antes |
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S14: Después |
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S15: Antes |
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S15: Después |
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S16: Antes |
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S16: Después |
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S17: Antes |
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S17: Después |
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S18: Antes |
data s18 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.93548387 0.83548387 0.92258065 0.81935484 0.81935484 0.86451613 0.83548387 0.67096774 0.83548387 0.81935484 0.83548387 0.81935484 0.81935484 0.45483871 0.83548387 0.78709677 0.93870968 0.85483871 0.83548387 0.86451613 0.83548387 0.74838710 0.85161290 0.91612903 0.71290323 0.86451613 0.80000000 0.85161290 0.83548387 0.81935484 0.66774194 0.81935484 0.81935484 0.81935484 0.59677419 0.84516129 0.71290323 0.93225806 0.74193548 0.93225806 0.83548387 0.83548387 0.85806452 0.44516129 0.900000 |
S18: Después |
data s18 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.65483871 0.46774194 0.63548387 0.96451613 0.73548387 0.46774194 0.27419355 0.40645161 0.85806452 0.66451613 0.90645161 0.94193548 0.37096774 0.61935484 0.60322581 0.31935484 0.79677419 0.63225806 0.78387097 0.36129032 0.92580645 0.51935484 0.74838710 0.50645161 0.80322581 0.56451613 0.95483871 0.81612903 0.93548387 0.92580645 0.95483871 0.97096774 0.94516129 0.95806452 0.94838710 0.89354839 0.24838710 0.90000000 0.69677419 0.23870968 0.95483871 0.23870968 0.96451613 0.75806452 0.95161290 |
S19:Después (El antes no realizó) |
data s19 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.94516129 0.57419355 0.09032258 0.92903226 0.17096774 0.17419355 0.88064516 0.93870968 0.09354839 0.87419355 0.18709677 0.53548387 0.23225806 0.34516129 0.92580645 0.56129032 0.62258065 0.52580645 0.55806452 0.53225806 0.94193548 0.81935484 0.58387097 0.57096774 0.56129032 0.90000000 0.92580645 0.49032258 0.05806452 0.58709677 0.85483871 0.18709677 0.13225806 0.49032258 0.52258065 0.30322581 0.15806452 0.17741935 0.53870968 0.52580645 0.10000000 0.21612903 0.94838710 0.25483871 0.50645161 |
S20: Antes |
data s20 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.54516129 0.39354839 0.88064516 0.79677419 0.60000000 0.63870968 0.35483871 0.95806452 0.32258065 0.83225806 0.68709677 0.95161290 0.92903226 0.69677419 0.93225806 0.63870968 0.82258065 0.86774194 0.62258065 0.77096774 0.89032258 0.54516129 0.46129032 0.63870968 0.47419355 0.71935484 0.80000000 0.82258065 0.74193548 0.77419355 0.96129032 0.64516129 0.53548387 0.91290322 0.95161290 0.89677419 0.87419355 0.58709677 0.36774194 0.47096774 0.62580645 0.83225806 0.59032258 0.53548387 0.71935484 |
S20: Después |
data s20 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.66129032 0.35161290 0.84193548 0.80000000 0.96774194 0.84193548 0.64193548 0.96774194 0.21290323 0.87741935 0.88387097 0.98064516 0.82258065 0.85806452 0.69677419 0.62580645 0.80322581 0.83225806 0.81935484 0.45483871 0.60967742 0.90322581 0.80967742 0.86451613 0.67741935 0.51935484 0.58387097 0.92580645 0.54193548 0.80967742 0.74516129 0.85483871 0.78709677 0.97419355 0.94516129 0.99032258 0.74516129 0.80322581 0.45806452 0.73870968 0.65483871 0.45483871 0.45483871 0.49677419 0.71290323 |
S21: Antes |
data s21 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.37096774 0.64516129 0.93225806 0.50967742 0.40322581 0.38709677 0.40000000 0.76452131 0.66774194 0.32903226 0.28709677 0.14838710 0.86774194 0.15161290 0.20645161 0.40967742 0.54193548 0.92580645 0.28709677 0.51935484 0.916129032 0.28064516 0.23870968 0.60322581 0.40967742 0.40967742 0.148387097 0.64193548 0.77419355 0.78709677 0.95161290 0.50967742 0.40322581 0.409677419 0.78709677 0.84838710 0.41612903 0.40322581 0.39032258 0.40322581 0.39032258 0.409677420 0.48387097 0.15161290 0.51290322 |
S21: Después |
data s21 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.92258065 0.74193548 0.83548387 0.60967742 0.92258065 0.92258065 0.41935484 0.68709677 0.92258065 0.60645161 0.58709677 0.42258065 0.43870968 0.51290323 0.64193548 0.28064516 0.64516129 0.92258065 0.42258065 0.73548387 0.81290323 0.63548387 0.55483871 0.47096774 0.63225806 0.92258065 0.73548387 0.60645161 0.63548387 0.92258065 0.92258065 0.78709677 0.73548387 0.43870968 0.85483871 0.68709677 0.64193548 0.52903226 0.64838710 0.92258065 0.52258065 0.67741935 0.68064516 0.72903226 0.72580645 |
S22: Antes |
data s22 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.30000000 0.40000000 0.87096774 0.76451613 0.87419355 0.36129032 0.38387097 0.92903226 0.21935484 0.39677419 0.34838710 0.80645161 0.91612903 0.80322581 0.86129032 0.70645161 0.91935484 0.88709677 0.54193548 0.24516129 0.89354838 0.36774194 0.67096774 0.76451613 0.50645161 0.49354839 0.86774194 0.77419355 0.59354839 0.69354839 0.85161290 0.38387097 0.17096774 0.72580645 0.89354839 0.16451613 0.37096774 0.26774194 0.47741935 0.37096774 0.29354839 0.56129032 0.28064516 0.39032258 0.67419355 |
S22: Después |
data s22 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.58064516 0.75806452 0.72903226 0.36774194 0.70322581 0.59032258 0.74838710 0.67419355 0.35806452 0.65483871 0.41612903 0.74193548 0.77096774 0.56451613 0.73225806 0.67096774 0.67419355 0.67096774 0.63870968 0.49677419 0.74516129 0.78387097 0.49354839 0.65161290 0.52903226 0.73225806 0.86451613 0.62258065 0.64838710 0.60322581 0.79677419 0.76774194 0.63225806 0.84193548 0.68709677 0.66451613 0.85806452 0.81935484 0.47096774 0.86129032 0.83548387 0.71612903 0.59032258 0.58064516 0.90322581 |
S23: Antes |
data s23 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.77741935 0.17096774 0.52258064 0.67741935 0.24193548 0.74838710 0.96451613 0.83870968 0.49032258 0.05806452 0.79032258 0.46774194 0.76129032 0.24838710 0.49677419 0.82903226 0.50645161 0.27419355 0.21935484 0.49354839 0.25806452 0.24838710 0.16774194 0.25806452 0.81935484 0.10645161 0.83870968 0.56451613 0.67419355 0.81612903 0.36774194 0.73548387 0.76129032 0.70322581 0.50967742 0.31612903 0.77741935 0.23870968 0.37096774 0.54838710 0.83870968 0.52903226 0.50645161 0.50000000 0.75483871 |
S23: Después |
data s23 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.18387097 0.80000000 0.76451613 0.84516129 0.26451613 0.47096774 0.52258065 0.87096774 0.83870968 0.14516129 0.51612903 0.84193548 0.76451613 0.55161290 0.51612903 0.80967742 0.55806452 0.47419355 0.51290323 0.31935484 0.55483871 0.17096774 0.81935484 0.84838710 0.83225806 0.50967742 0.81612903 0.25161290 0.55483871 0.19032258 0.57096774 0.53225806 0.76774194 0.79032258 0.54516129 0.19032258 0.87096774 0.74193548 0.40645161 0.28709677 0.84516129 0.57419355 0.20322581 0.58387097 0.27419355 |
S24: Antes |
data s24 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.48064516 0.23548387 0.92580645 0.83548387 0.54193548 0.29677419 0.48387097 0.93225806 0.31290323 0.51935484 0.57419355 0.93870968 0.90645161 0.82580645 0.63548387 0.67419355 0.72903226 0.66774194 0.88064516 0.82580645 0.58064516 0.60322581 0.63870968 0.89032258 0.49354839 0.82903226 0.43225806 0.82258065 0.76774194 0.94193548 0.90967742 0.40645161 0.20967742 0.52580645 0.82903226 0.85483871 0.86774194 0.76451613 0.39032258 0.83870968 0.87096774 0.52580645 0.50645161 0.63870968 0.900000 |
S24: Después |
data s24 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.54193548 0.58387097 0.94838710 0.63870968 0.85161290 0.63548387 0.63548387 0.94193548 0.46774194 0.68064516 0.78709677 0.70322581 0.70322581 0.73225806 0.70645161 0.64516129 0.76129032 0.80967742 0.81290323 0.58387097 0.64838710 0.55161290 0.94838710 0.58387097 0.88709677 0.59354839 0.61290323 0.86774194 0.56129032 0.70645161 0.90645161 0.84838710 0.50645161 0.73870968 0.97096774 0.74838710 0.69032258 0.80967742 0.53225806 0.78709677 0.59354839 0.93870968 0.62580645 0.64516129 0.55161290 |
S25: Antes |
data s25 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.83870968 0.88709677 0.26774194 0.29032258 0.96129032 0.96129032 0.86129032 0.98064516 0.04516129 0.53225806 0.75161290 0.60000000 0.79354839 0.84193548 0.60000000 0.83870968 0.96451613 0.96129032 0.78387097 0.42258065 0.93225806 0.77741935 0.78709677 0.67419355 0.87741935 0.86451613 0.50645161 0.91612903 0.25483871 0.93870968 0.91290323 0.54516129 0.45161290 0.76774194 0.72258065 0.76451613 0.58709677 0.98064516 0.72258065 0.69354839 0.37096774 0.23870968 0.87096774 0.37096774 0.29032258 |
S25: Después |
data s25 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.77741935 0.17096774 0.52258065 0.67741935 0.24193548 0.74838710 0.96451613 0.83870968 0.49032258 0.05806451 0.79032258 0.46774194 0.76129032 0.24838710 0.49677419 0.82903226 0.50645161 0.27419355 0.21935484 0.49354839 0.25806452 0.24838710 0.16774194 0.25806452 0.81935484 0.10645161 0.83870968 0.56451613 0.67419355 0.81612903 0.36774194 0.73548387 0.76129032 0.70322581 0.50967742 0.31612903 0.77741935 0.23870968 0.37096774 0.54838710 0.83870968 0.52903226 0.50645161 0.50000000 0.75484231 |
S26: Antes |
data s26 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.53870968 0.39032258 0.94516129 0.69354839 0.72580645 0.33225806 0.38387097 0.77096774 0.50645161 0.29032258 0.93548387 0.95161290 0.88387097 0.58387097 0.54838710 0.48709677 0.93225806 0.77741935 0.58064516 0.29032258 0.88064516 0.53870971 0.72903232 0.91935484 0.84193548 0.53548387 0.88064516 0.69032258 0.50967742 0.93870968 0.97096774 0.44193548 0.51935484 0.94516129 0.84193548 0.87741935 0.48709677 0.77741935 0.75161290 0.72580645 0.51935484 0.88387097 0.37419355 0.51290323 0.69032258 |
S26: Después |
data s26similar10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.90967741 0.53225806 0.94193548 0.64193548 0.89677419 0.77096774 0.76129032 0.80967742 0.55806452 0.33225806 0.80322581 0.74193548 0.57096774 0.81612903 0.79032258 0.79677419 0.59354839 0.97741935 0.79032258 0.55483871 0.60000000 0.59677419 0.81612903 0.95806452 0.62580645 0.53870968 0.66451613 0.97741935 0.54193548 0.75161290 0.83548387 0.54516129 0.49677419 0.80000000 0.91290322 0.89354839 0.47419355 0.58064516 0.54516129 0.40322581 0.94193548 0.70967742 0.57096774 0.52903226 0.49677419 |
S27: Antes |
data s27 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.69354838 0.32258065 0.50000000 0.51612903 0.36774194 0.19677419 0.80645161 0.37741935 0.23225806 0.94516129 0.47741935 0.80967742 0.94838710 0.57741935 0.51290323 0.64193548 0.36451613 0.86774194 0.50322581 0.65806452 0.79677419 0.51612903 0.62258065 0.59677419 0.34516129 0.36774194 0.50000000 0.52258011 0.34516129 0.77419355 0.80322581 0.31612903 0.03870968 0.63225806 0.90645161 0.64193548 0.25161290 0.88387097 0.51290323 0.86451613 0.51935484 0.20645161 0.24516129 0.20645161 0.76774194 |
S27: Después |
data s27 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.89354838 0.88709677 0.98709677 0.87419355 0.90000000 0.80967742 0.89354839 0.80000000 0.98387097 0.95161290 0.93870968 0.95483871 0.97419354 0.99032258 0.78064516 0.85483871 0.63225806 0.75161290 0.85806452 0.91612903 0.72258065 0.88709677 0.83225806 0.74838710 0.82258065 0.76451613 0.64516130 0.83225806 0.84193548 0.83225806 0.86129032 0.91612903 0.88709677 0.87741935 0.96129032 0.96451613 0.64516129 0.90322581 0.71935484 0.86774194 0.82258065 0.89354839 0.80645161 0.90645161 0.81612903 |
S28: Antes |
data s28 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.49354839 0.49354839 0.49354839 0.37096774 0.93225806 0.98064516 0.70967742 0.93548387 0.94516129 0.62258065 0.90322581 0.49354839 0.90322581 0.49354839 0.46451613 0.57096774 0.67741935 0.20645161 0.49354839 0.29677419 0.49354839 0.33548387 0.25161290 0.49354839 0.49354839 0.60000000 0.40645161 0.68064516 0.90322581 0.93548387 0.49354839 0.94193548 0.82258065 0.90322581 0.49354839 0.71935484 0.56451613 0.85806452 0.97096774 0.49354839 0.49354839 0.79677419 0.48709677 0.29677419 0.80322581 |
S28: Después |
data s28 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.74838709 0.60322580 0.76451612 0.56451612 0.40967741 0.60967741 0.57741935 0.73870967 0.70967741 0.48064516 0.71290322 0.72580645 0.83548387 0.57419354 0.62258064 0.64838709 0.68064516 0.78064516 0.79354838 0.71612903 0.51935483 0.54193548 0.46774193 0.67419354 0.66129032 0.72903225 0.7709677 0.60322580 0.47419354 0.35483870 0.76129032 0.69677419 0.59032258 0.62258064 0.51290322 0.70967741 0.48709677 0.55483870 0.55161290 0.50645161 0.44516129 0.50000000 0.58709677 0.64516129 0.593548387 |
S29: Antes |
data s29 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.84516129 0.31612903 0.98709677 0.81612903 0.99032258 0.02580645 0.46774194 0.49354839 0.00645161 0.95483871 0.98709677 0.98709677 0.95806452 0.60000000 0.57742231 0.61612903 0.92258065 0.63548387 0.65806452 0.54516129 0.52258064 0.85161290 0.60645161 0.36774194 0.59677419 0.56774194 0.52580645 0.99354839 0.94516129 0.99032258 0.97741935 0.02903226 0.79677419 0.68709677 0.52580645 0.89354839 0.50322581 0.99032258 0.27741935 0.94193548 0.16129032 0.78064516 0.50000000 0.84838710 0.86774194 |
S29: Después |
data s29 similar 10 nodes 8 decimal places 0 minimum weight 1 maximum weight lower triangular: 0.82258065 0.16451613 0.63548387 0.88709677 0.82903226 0.79032258 0.84838710 0.90967742 0.93870968 0.86451613 0.82258065 0.74516129 0.24838710 0.80322581 0.80322581 0.92903226 0.80322581 0.67741935 0.68709677 0.80322581 0.82258065 0.74516129 0.82258065 0.73870968 0.27419355 0.93870968 0.74516129 0.75806452 0.41612903 0.82903226 0.64516129 0.14516129 0.18709677 0.85483871 0.75161290 0.52903226 0.92903226 0.86129032 0.48709677 0.80322581 0.75161290 0.55806452 0.74516129 0.82903226 0.55161290 |
Redes Pathfinder
Antes | Después |
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Índice de similaridad con la Red Básica Conceptual antes de las clases
file 1 = RBC
lofile 2 = S01
lofile 3 = S02
lofile 4 = S03
lofile 5 = S04
lofile 6 = S05
lofile 7 = S06
lofile 8 = S07
lofile 9 = S08
lofile 10 = S10
lofile 11 = S09
lofile 12 = S11
lofile 13 = S12
lofile 14 = S13
lofile 15 = S14
lofile 16 = S15
lofile 17 = S17
lofile 18 = S16
lofile 19 = S18
lofile 20 = S20
lofile 21 = S21
lofile 22 = S22
lofile 23 = S23
lofile 24 = S24
lofile 25 = S25
lofile 26 = S26
lofile 27 = S27
lofile 28 = S28
lofile 29 = S29
Net Similarity Measures:
fl1 fl2 ln1 ln2 Cmn E[C] O-EC Sim E[S] O-ES PtPrb TlPrb Info
02 1 11 19 5 4.64 0.36 0.200 0.187 0.013 0.26374 0.53634 0.90
03 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75
04 1 10 19 6 4.22 1.78 0.261 0.174 0.087 0.12715 0.17670 2.50
05 1 10 19 6 4.22 1.78 0.261 0.174 0.087 0.12715 0.17670 2.50
06 1 9 19 3 3.80 -0.80 0.120 0.161 -0.041 0.25175 0.83604 0.26
07 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32
08 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32
09 1 11 19 5 4.64 0.36 0.200 0.187 0.013 0.26374 0.53634 0.90
10 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75
11 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.78
12 1 9 19 8 3.80 4.20 0.400 0.161 0.239 0.00222 0.00232 8.75
13 1 10 19 7 4.22 2.78 0.318 0.174 0.144 0.04107 0.04955 4.34
14 1 13 19 6 5.49 0.51 0.231 0.211 0.020 0.24446 0.49403 1.02
15 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.78
16 1 9 19 3 3.80 -0.80 0.120 0.161 -0.041 0.25175 0.83604 0.26
17 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75
18 1 9 19 3 3.80 -0.80 0.120 0.161 -0.041 0.25175 0.83604 0.26
19 1 13 19 6 5.49 0.51 0.231 0.211 0.020 0.24446 0.49403 1.02
20 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.78
21 1 10 19 9 4.22 4.78 0.450 0.174 0.276 0.00075 0.00078 10.32
22 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32
23 1 9 19 3 3.80 -0.80 0.120 0.161 -0.041 0.25175 0.83604 0.26
24 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32
25 1 10 19 8 4.22 3.78 0.381 0.174 0.207 0.00770 0.00848 6.88
26 1 10 19 5 4.22 0.78 0.208 0.174 0.034 0.23976 0.41646 1.26
27 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.78
28 1 12 19 6 5.07 0.93 0.240 0.199 0.041 0.21720 0.38120 1.39
29 1 9 19 7 3.80 3.20 0.333 0.161 0.173 0.01848 0.02080 5.59
Índice de similaridad con la Red Básica Conceptual después de las clases
file 1 = RBCfile 2 = S01file 3 = S02file 4 = S04file 5 = S05file 6 = S06file 7 = S07file 8 = S08file 9 = S10file 10 = S09file 11 = S12file 12 = S13file 13 = S14file 14 = S15file 15 = S17file 16 = S16file 17 = S18file 18 = S19file 19 = S20file 20 = S21file 21 = S22file 22 = S23file 23 = S24file 24 = S25file 25 = S26file 26 = S27file 27 = S29
file 28 = S11
file 29 = S28
FNet Similarity Measures:
fl1 fl2 ln1 ln2 Cmn E[C] O-EC Sim E[S] O-ES PtPrb TlPrb Info 02 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.78 03 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32 04 1 10 19 4 4.22 -0.22 0.160 0.174 -0.014 0.27972 0.69618 0.52 05 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 06 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 07 1 10 19 3 4.22 -1.22 0.115 0.174 -0.059 0.19980 0.89599 0.16 08 1 10 19 7 4.22 2.78 0.318 0.174 0.144 0.04107 0.04955 4.34 09 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 10 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 11 1 9 19 3 3.80 -0.80 0.120 0.161 -0.041 0.25175 0.83604 0.26 12 1 13 19 5 5.49 -0.49 0.185 0.211 -0.026 0.24883 0.74286 0.43 13 1 10 19 5 4.22 0.78 0.208 0.174 0.034 0.23976 0.41646 1.26 14 1 9 19 2 3.80 -1.80 0.077 0.161 -0.084 0.12693 0.96298 0.05 15 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32 16 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 17 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 18 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32 19 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 20 1 10 19 7 4.22 2.78 0.318 0.174 0.144 0.04107 0.04955 4.34 21 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 22 1 9 19 5 3.80 1.20 0.217 0.161 0.057 0.19617 0.29658 1.75 23 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.78 24 1 9 19 3 3.80 -0.80 0.120 0.161 -0.041 0.25175 0.83604 0.26 25 1 9 19 7 3.80 3.20 0.333 0.161 0.173 0.01848 0.02080 5.59 26 1 10 19 3 4.22 -1.22 0.115 0.174 -0.059 0.19980 0.89599 0.16 27 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.78
28 1 9 19 6 3.80 2.20 0.273 0.161 0.112 0.07961 0.10041 3.32
29 1 9 19 4 3.80 0.20 0.167 0.161 0.006 0.28772 0.58429 0.7
Tabla. 13. Resultados obtenidos de las pruebas aplicadas a todos los estudiantes antes y después de la experiencia con el simulador geométrico GraphCalc.
CÓDIGO | TEST ANTES | TEST DESPUES | +/- | COHERENCIA ANTES | COHERENCIA DESPUES | +/- | SIMILARIDAD ANTES | SIMILARIDAD DESPUES | +/- |
S01 | 3.08 | 5.77 | 2.69 | 0.1134 | 0.4098 | 0.2964 | 0.187 | 0.167 | -0.020 |
S02 | 5.38 | 7.69 | 2.31 | 0.5429 | 0.6490 | 0.1061 | 0.161 | 0.273 | 0.112 |
S03 | 6.54 | 7.31 | 0.77 | 0.3847 | NR | NA | 0.174 | NR | NA |
S04 | 5.38 | 8.08 | 2.7 | -0.2254 | 0.3976 | 0.6230 | 0.174 | 0.160 | -0.014 |
S05 | 6.15 | 7.69 | 1.54 | 0.2504 | 0.4865 | 0.2361 | 0.161 | 0.217 | 0.056 |
S06 | 6.15 | 5.77 | -0.38 | 0.2975 | -0.1269 | -0.4244 | 0.161 | 0.217 | 0.056 |
S07 | 3.46 | 5.77 | 2.31 | 0.1722 | -0.0567 | -0.2289 | 0.161 | 0.115 | -0.046 |
S08 | 3.46 | 5.77 | 2.31 | 0.2679 | 0.0892 | -0.1787 | 0.187 | 0.318 | 0.131 |
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