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Enseñanza y aprendizaje de la función cuadrática utilizando un simulador geométrico desde el enfoque de la teoría de los conceptos nucleares (página 5)



Partes: 1, 2, 3, 4, 5, 6

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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8 decimal places

0 minimum weigth

1 maximum weigth

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0.57419355 0.84516129 0.92258064
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0.80645161

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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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0.59677419 0.90645161 0.30000000 0.71290322
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S08:
Después

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0 minimum weight

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S09: Antes

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S09:
Después

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S10: Antes

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0 minimum weigth

1 maximum weigth

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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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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

S17: Antes

data s17

similar

10 nodes

8 decimal places

0 minimum weight

1 maximum weight

lower triangular:

0.73548387

0.34516129 0.32258065

0.66129032 0.52580645 0.15806452

0.46451613 0.78387097 0.17741935
0.32580645

0.40967742 0.70000000 0.32581123 0.64516129
0.15806452

0.29354839 0.35806452 0.81290323 0.67741935
0.73548387 0.20645161

0.46774194 0.26774194 0.49677419 0.29032258
0.46129032 0.58064516 0.30322581

0.32258064 0.21612903 0.91612903 0.49354839
0.22903226 0.73548387 0.64193548 0.29677419

0.61290322 0.92903226 0.49032258 0.68064516
0.47741935 0.16129032 0.59354839 0.50645161
0.27096774

S17:
Después

data s17

similar

10 nodes

8 decimal places

0 minimum weight

1 maximum weight

lower triangular:

0.91290323

0.38387097 0.91935484

0.77741935 0.91290323 0.67419355

0.24516129 0.63548387 0.60967742
0.41290323

0.33225806 0.76451613 0.57096774 0.51935484
0.48064516

0.74516129 0.37096774 0.39032258 0.31612903
0.30000000 0.60000000

0.90000000 0.45483871 0.57741935 0.39032258
0.50000000 0.47096774 0.67096774

0.76451613 0.61935484 0.94516129 0.76451613
0.69677419 0.63225806 0.33548387 0.69677419

0.49354839 0.42903226 0.34838710 0.49354839
0.45806452 0.36774194 0.49677419 0.88387097
0.88709677

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

S01

S03

No Realizo

S05

S06

S07

S08

S09

S10

S11

S12

S13

S14

S15

S16

S17

S18

S19

No realizó

S20

S21

S22

S23

S24

S25

S26

S27

S28

S29

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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