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Gap data updated1

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Gap Data
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GAP DATA Virtual and Edgenuity
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Page 1: Gap data updated1

GAP DATAVirtual and Edgenuity

Page 2: Gap data updated1

VIRTUAL COURSE DATASUMMER OF 2013-MAY 2014

Enrollment by ethnic-ity

4257

29

25363

Enrollment by Ethnicity

Black Hispanic

Asian Other(Indian, Mixed,PI)

White

236

279

Enrollment by Gender

Male Female

105

410

Enrollment by SES

Free/Red Pay

Page 3: Gap data updated1

VIRTUAL COURSE DATASUMMER OF 2013-MAY 2014

Male Female

Series1 74.48 82.1

71

73

75

77

79

81

83

74.48

82.1

Achievement by Gender

Black Hispanic Asian White

Series1 74.76 72.18 87.79 78.97

71

73

75

77

79

81

83

85

87

89

74.76

72.18

87.79

78.97

Achievement by Ethnicity

F/R Pay

Series1 74.69 79.61

72.5

73.5

74.5

75.5

76.5

77.5

78.5

79.5

74.69

79.61

Achievement bv SES

Page 4: Gap data updated1

CREDIT RECOVERY/EDGENUITY COURSE DATA

SUMMER 2013-MAY 2014

40

28

Enrollment by Gender

Male Female

16

14

38

Enrollment by Ethnicity

Black Hisp/Other White

3434

Enrollment by SES

F/R Pay

Page 5: Gap data updated1

CREDIT RECOVERY/EDGENUITY COURSE DATA

SUMMER 2013-MAY 2014

Male Female

Series1 16.5 15.5

1

3

5

7

9

11

13

15

17 16.515.5

Number of Credits Earned

by Gender

Black Hisp White

Series1 10 5 21

2.5

7.5

12.5

17.5

22.5

10

5

21

Number of Credits Earned by Ethnicity

F/R Pay

Series1 18 18

1

3

5

7

9

11

13

15

17

19 18 18

Credits Earnedby SES

Page 6: Gap data updated1

COURSES AT A GLANCE-PERS. FINANCE

124

99

Personal Finance Enrollment by Gen-

der

Female Male

57

166

Personal Finance Enrollment by Race

Ethnic White

38

185

Personal Finance Enrollment by SES

F/R Pay

Avg. Gr. Female Male Ethnic White F/R Pay

Series1 80.48 82.6 77.82 77.16 81.62 73.05 82.05

69

71

73

75

77

79

81

83

80.48

82.6

77.8277.16

81.62

73.05

82.05

Achievement by Subgroups

Page 7: Gap data updated1

COURSES AT A GLANCE-WELLNESS

4641

Wellness Enrollment by Gender

Female Male

29

56

Wellness Enrollment by Ethnicity

Ethnic White

22

65

Wellness Enrollment by SES

F/R Pay

Avg. Gr. Female Male Ethnic White F/R Pay

Series1 80.18 83.9 75.9 81.27 79.63 74.95 81.74

71

73

75

77

79

81

83

85

80.18

83.9

75.9

81.27

79.63

74.95

81.74

Achievement by Subgroups

Page 8: Gap data updated1

COURSES AT A GLANCE-GOVT

18

12

Government En-rollment by Gender

Male Female

6

12

Government Enrollment by Race

Ethnic White

4

14

Government Enrollment by SES

F/R Pay

Avg. Gr. Male Female Ethnic White F/R Pay

Series1 77.94 70.5 81.66 74.66 79.58 80.25 77.28

65

67

69

71

73

75

77

79

81

83

77.94

70.5

81.66

74.66

79.58 80.25

77.28

Achievement by Subgroup

Page 9: Gap data updated1

COURSES AT A GLANCE-AM. HIST.

2725

Enrollment by Gender

Male Female

13

39

Enrollment by Race

Ethnic White

9

43

Enrollment by SES

F/R Pay

Avg. Gr. Male Female Ethnic White F/R Pay

Series1 62.34 59.44 65.48 51.769 65.5 46.375 64.81

5

15

25

35

45

55

65 62.3459.44

65.48

51.769

65.5

46.375

64.81

Achievement by Subgroup

Page 10: Gap data updated1

COURSES AT A GLANCE-AP STATS

13

15

Enrollment by Gender

M F

24

4

Enrollment by Race

W A

2

26

Enrollment by SES

Free Pay

Avg. Grade

Male Female White Ethnic(*)

Free Pay

Series1 80.85 78.21 83.5 79.83 87 78.5 81

73

75

77

79

81

83

85

87

80.85

78.21

83.5

79.83

87

78.5

81

Achievement by Subgroup

Page 11: Gap data updated1

COURSES AT A GLANCE-ELA 3

5

7

Enrollment by Gender

Male Female

2

10

Enrollment by Race

Ethnic White

12

Enrollment by SES

Free/Red Pay

Avg Grade Male Female Ethnic White

Series1 72.16 47 90.14 51.5 76.3

5

15

25

35

45

55

65

75

85

95

72.16

47

90.14

51.5

76.3

Achievement by Subgroup

Page 12: Gap data updated1

COURSES AT A GLANCE-PSYCHOLOGY

8

5

Enrollment by Gender

Male Female

5

8

Enrollment by Race

Ethnic White

3

10

Enrollment by SES

F/R Pay

Avg. Gr. Male Female Ethnic White F/R Pay

Series1 56.24 54.91 58.37 76.46 43.6 81.22 48.75

5

15

25

35

45

55

65

75

85

56.24 54.9158.37

76.46

43.6

81.22

48.75

Achievement by Subgroup

Page 13: Gap data updated1

COURSES AT A GLANCE-SS HEALTH

15

18

Enrollment by Gender

Male Female

1617

Enrollment by Race

Ethnic White

13

20

Enrollment by SES

F/R Pay

Avg. Gr. Male Female Ethnic White F/R Pay

Series1 83.12 81.8 84.22 82.43 83.76 78.76 85.95

75

77

79

81

83

85

87

83.12

81.8

84.22

82.43

83.76

78.76

85.95

Achievement by Subgroup

Page 14: Gap data updated1

COURSES AT A GLANCE-SS MRKT. INTERN

6

7

Enrollment by Gender

Male Female

3

10

Enrollment by Race

Ethnic White

3

10

Enrollment by SES

F/R Pay

Avg. Gr. Male Female Ethnic White F/R Pay

Series1 94.15 91.5 96.42 93.66 94.3 92.33 94.16

89.5

90.5

91.5

92.5

93.5

94.5

95.5

96.5

94.15

91.5

96.42

93.6694.3

92.33

94.16

Achievement by Subgroup

Page 15: Gap data updated1

COURSES AT A GLANCE-MARK. CONCEPTS

66

Enrollment by Gender

Male Female

2

10

Enrollment by Race

Ethnic White

2

10

Enrollment by SES

F/R Pay

Avg. Grade

Male Female Ethnic White F/R Pay

Series1 82.58 78 87.16 96 79.9 95 80.1

10

30

50

70

90

110

82.58 7887.16

96

79.9

95

80.1

Achievement by Subgroups

Page 16: Gap data updated1

COURSES AT A GLANCE-CHINESE III

2

13

Enrollment by Gender

Male Female

7

5

3

Enrollment by Race

Black Asian Hispanic/Mixed White

5

10

Enrollment by SES

Free/Red PayAvg. Grade

Male

Female

Black

Asian

Hispanic

White

Free/Red

Pay

Series1

95.0667

92.5

95.46

NaN

93.57

96.4

96.33

95.6

94.8

90.591.592.5

Achievement by Subgroup

Page 17: Gap data updated1

COURSES AT A GLANCE-GAME DESIGN

8

Enrollment by Gender

Male Female

2

6

Enrollment by Race

Ethnic White

Avg. Grade

Male Free/Red Pay Black/Hisp

White

Series1 73.5 73.5 63.25 83.75 66 76

5

15

25

35

45

55

65

75

8573.5 73.5

63.25

83.75

66

76

Achievement by Subgroup

44

Enrollment by SES

F/R Pay

Page 18: Gap data updated1

CONCLUSIONSA pattern of

females outperforming males, whites outperforming ethnic students Higher SES outperforming lower SES Under-represented groups not enrolling in virtual courses Under-represented groups over-represented in credit recovery

What are the implications? What is our response? How do we close the gaps?


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