Оценка вклада привлекательности и возможностей территории и университета в международную активность студенческого контингента

Изучение связи интернационализации образования и его глобализации. Выявление факторов заинтересованности и сдерживания государства и университета в процессе развития интернационализации высшего образования (ВО). Определение форм интернационализации ВО.

Рубрика Педагогика
Вид магистерская работа
Язык русский
Дата добавления 07.10.2016
Размер файла 1,5 M

Отправить свою хорошую работу в базу знаний просто. Используйте форму, расположенную ниже

Студенты, аспиранты, молодые ученые, использующие базу знаний в своей учебе и работе, будут вам очень благодарны.

60. Altbach P. G. Globalisation and the university: Myths and realities in an unequal world //Tertiary Education & Management. - 2004. - Т. 10. - №. 1. - С. 3-25

61. Altbach P. G., Knight J. The internationalization of higher education: Motivations and realities //Journal of studies in international education. - 2007. - Т. 11. - №. 3-4. - С. 290-305

62. Altbach P. G., Knight J. The internationalization of higher education: Motivations and realities //Journal of studies in international education. - 2007. - Т. 11. - №. 3-4. - С. 290-305

63. Balmer B., Godwin M., Gregory J. The Royal Society and the `brain drain': natural scientists meet social science //Notes and Records of the Royal Society. - 2009. - Т. 63. - №. 4. - С. 339-353

64. Bazhenova E. D. Content Analysis of the Category Academic Mobility of Students //Middle-East Journal of Scientific Research, Dubai. - 2013. - Т. 13. - №. 4. - С. 483-488

65. Bhandari R., Blumenthal P. International students and global mobility in higher education: National trends and new directions //International Studies. - 2013. - Т. 1. - №. 11. - С. 316-317

66. Bologna With Student Eyes 2009/ A. Cacciagrano, B. Carapinha. Printed in: leuven, Belgium, april 2009

67. Cantu M. P. Three Effective Strategies of Internationalization in American Universities //Journal of International Education and Leadership Volume. - 2013. - Т. 3. - №. 3

68. Corbett J. Ernest George Ravenstein: The Laws of Migration //Center for Spatially Integrated Social Science, UC Santa Barbara. - 1885

69. Currie J. Globalizing practices and university responses: European and Anglo-American differences. - Greenwood Publishing Group, 2003

70. De Witt H. Internationalization of higher education in the United States of America and Europe. - IAP, 2009

71. Ellingboe B. J. Divisional strategies on internationalizing the curriculum: A comparative five-college case study of deans' and faculty perspectives at the University of Minnesota. - 1996

72. European Commission. Europe 2020: A Strategy for Smart, Sustainable and Inclusive Growth: Communication from the Commission. - Publications Office of the European Union, 2010

73. European Higher Education Space. Joint Statement of the European Ministers of Education Bologna, 19 June 1999

74. Internationalisation and trade in higher education: opportunities and challenges. - OECD, 2004

75. Knight J. Higher education in turmoil //The Changing World of Internationalisation. Rotterdam, The Netherlands: Sense Publishers. - 2008

76. Knight J. Internationalization brings important benefits as well as risks //International Higher Education. - 2015. - №. 46

77. Knight J. Updated definition of internationalization //International higher education. - 2015. - №. 33

78. Lee E. S. A theory of migration //Demography. - 1966. - Т. 3. - №. 1. - С. 47-57

79. Phillips W. R. United Nations Educational, Scientific and Cultural Organization //Mont. L. Rev. - 1962. - Т. 24. - С. 31

80. Sanchez C. M., Fornerino M., Zhang M. Motivations and the intent to study abroad among US, French, and Chinese students //Journal of Teaching in International Business. - 2006. - Т. 18. - №. 1. - С. 27-52

81. Scott P. Globalisation and higher education: Challenges for the 21st century //Journal of Studies in International Education. - 2000. - Т. 4. - №. 1. - С. 3-10

82. Teichler U. Internationalisation of higher education: European experiences //Asia Pacific Education Review. - 2009. - Т. 10. - №. 1. - С. 93-106

83. Vincent-Lancrin S. et al. Cross-border tertiary education: A way towards capacity development. - Organization for Economic, 2007

Приложение 1

Результаты регрессионного анализа Модели 1

VARIABLES

X1_EGE

X2_

WOS

X2_

Scopus

X3_

NIOKR

X4_

Income

X5_

LabS

X6_

Employ

X7_

Dorm

X8_

Phd

X9_

NIOKRonNPR

all

X1_EGE

0.20***

0.16***

(0.05)

(0.06)

X2_WOS

(0-20)

-0.20*

(0.11)

X2_WOS (more than 300)

0.09

(0.17)

X2_Scopus

(0-9)

-0.07

-0.09

(0.12)

(0.12)

X2_Scopus (20-250)

0.09

0.01

(0.14)

(0.13)

X2_Scopus (250-1000)

0.52**

0.05

(0.26)

(0.35)

X3_NIOKR (0)

-0.07

-0.06

(0.14)

(0.14)

X3_NIOKR (1000-4500)

0.02

-0.11

(0.17)

(0.16)

X3_NIOKR (more than 4500)

0.19

-0.11

(0.24)

(0.25)

X4_Income

0.14***

-0.00

(0.05)

(0.08)

X5_LabS

0.03

0.01

(0.04)

(0.07)

X6_Employ

0.08

0.02

(0.05)

(0.05)

X7_Dorm (0)

-0.12

-0.07

(0.10)

(0.09)

X7_Dorm (more than 50%)

-0.29***

-0.30**

(0.18)

(0.14)

X8_Phd

(0-60)

0.15

(0.10)

X8_Phd

(more than 70)

-0.02

(0.19)

X9_NIOKRonNPR

0.17***

0.12**

(0.03)

(0.05)

Constant

-0.01

0.15

0.01

0.03

-0.01

0.00

-0.01

0.10

-0.09

0.00

0.17

(0.09)

(0.12)

(0.15)

(0.14)

(0.09)

(0.11)

(0.11)

(0.12)

(0.11)

(0.09)

(0.19)

Observations

656

649

649

649

654

654

651

649

649

649

552

R-squared

0.04

0.01

0.01

0.01

0.02

0.00

0.01

0.01

0.01

0.03

0.08

*** p<0.01, ** p<0.05, * p<0.1

Приложение 2

Результаты регрессионного анализа Модели 2

VARIABLES

Z1_

Crime

Z2_

Population

Z3_

VPR

Z4_income

_month

Z5_

S4life

Z6_

Donor

Z7_

invest

Z8_

far

all

Z1_Crime

-0.06

0.00

(0.08)

(0.08)

Z2_Population (40-60%)

-0.04

0.04

(0.11)

(0.19)

Z2_Population (more than 85%)

0.48***

0.49

(0.15)

(0.37)

Z3_VPR (0-200)

-0.35*

(0.19)

Z3_VPR (more than 600)

0.33*

(0.17)

Z4_income_month (0-20000)

-0.25

-0.15

(0.16)

(0.16)

Z4_income_month (more than 40000)

0.36**

-0.12

(0.17)

(0.29)

Z5_S4life

-0.06

0.03

(0.10)

(0.12)

Z6_donor

0.40**

-0.01

(0.16)

(0.20)

Z7_invest

0.00

0.00

(0.08)

(0.06)

Z8_far

-0.21***

-0.15**

(0.07)

(0.10)

Constant

0.00

-0.11

0.01

-0.02

0.00

-0.15*

-0.00

-0.00

-0.06

(0.10)

(0.08)

(0.10)

(0.11)

(0.10)

(0.08)

(0.11)

(0.09)

(0.15)

Observations

647

649

649

649

647

649

649

649

645

R-squared

0.00

0.07

0.05

0.03

0.00

0.04

0.00

0.05

0.09

*** p<0.01, ** p<0.05, * p<0.1

Приложение 3

Результаты регрессионного анализа Модели 3

VARIABLES

X1_EGE

X2_

WOS

X2_

Scopus

X3_

NIOKR

X4_

Income

X5_

LabS

X6_

Employ

X7_

Dorm

X8_

Phd

X9_

NIOKRonNPR

all

X1_EGE

1.24**

1.10

(0.12)

(0.16)

X2_WOS

(0-20)

0.34***

(0.06)

X2_WOS (more than 300)

0.75

(0.56)

X2_Scopus

(0-9)

0.31***

0.73

(0.08)

(0.22)

X2_Scopus (20-250)

1.78**

1.84*

(0.47)

(0.61)

X2_Scopus (250-1000)

1.55

1.83

(0.85)

(1.65)

X3_NIOKR (0)

0.16***

0.25***

(0.05)

(0.08)

X3_NIOKR (1000-4500)

01.дек

0.89

(0.39)

(0.35)

X3_NIOKR (more than 4500)

1.55

0.81

(0.59)

(0.39)

X4_Income

0.90

0.96

(0.08)

(0.12)

X5_LabS

0.26***

0.30***

(0.04)

(0.05)

X6_Employ

1.29***

1.05

(0.12)

(0.15)

X7_Dorm (0)

1.22***

1.48***

(0.04)

(0.11)

X7_Dorm (more than 50%)

0.36***

0.42**

(0.08)

(0.16)

X8_Phd

(0-60)

1.28

(0.25)

X8_Phd

(more than 70)

0.39

(0.12)

X9_NIOKRonNPR

1.65***

1.72***

(0.19)

(0.26)

Constant

0.75***

1.59***

1.16

2.47***

0.74***

0.60***

0.75***

1.94***

0.66**

0.70***

2.92**

(0.06)

(0.23)

(0.26)

(0.78)

(0.08)

(0.06)

(0.07)

(0.25)

(0.12)

(0.06)

(1.38)

Observations

662

669

669

668

648

659

660

669

669

656

652

*** p<0.01, ** p<0.05, * p<0.1

Приложение 4

Результаты регрессионного анализа Модели 4

VARIABLES

Z1_

Crime

Z2_

Population

Z3_

VPR

Z4_income

_month

Z5_

S4life

Z6_

Donor

Z7_

invest

Z8_

far

all

Z1_Crime

1.26**

1.22

(0.13)

(0.16)

Z2_Population (40-60%)

0.60

0.60

(0.21)

(0.22)

Z2_Population (more than 85%)

1.14

1.24

(0.17)

(0.62)

Z3_VPR (0-200)

0.55*

(0.18)

Z3_VPR (more than 600)

1.04*

(0.13)

Z4_income_month (0-20000)

0.90

0.90

(0.21)

(0.22)

Z4_income_month (more than 40000)

1.13

0.75

(0.14)

(0.30)

Z5_S4life

0.92

0.93

(0.07)

(0.15)

Z6_donor

1.14

1.08

(0.19)

(0.29)

Z7_invest

0.99

1.03

(0.11)

(0.10)

Z8_far

1.14**

1.06

(0.07)

(0.09)

Constant

0.70***

0.72***

0.74***

0.70***

0.70***

0.67***

0.71***

0.71***

0.73**

(0.06)

(0.07)

(0.09)

(0.09)

(0.06)

(0.08)

(0.06)

(0.07)

(0.10)

Observations

667

669

669

669

667

669

669

669

665

*** p<0.01, ** p<0.05, * p<0.1

Приложение 5

Результаты регрессионного анализа Модели 5

VARIABLES

X1_EGE

X2_

WOS

X2_

Scopus

X3_

NIOKR

X4_

Income

X5_

LabS

X6_

Employ

X7_

Dorm

X8_

Phd

X9_

NIOKRonNPR

all

X1_EGE

0.16

0.03

(0.11)

(0.11)

X2_WOS

(0-20)

-0.05

(0.11)

X2_WOS (more than 300)

1.08***

(0.32)

X2_Scopus

(0-9)

0.18

0.12

(0.15)

(0.15)

X2_Scopus (20-250)

0.07

0.04

(0.13)

(0.14)

X2_Scopus (250-1000)

0.84***

0.53*

(0.20)

(0.27)

X3_NIOKR (0)

-0.02

-0.12

(0.16)

(0.19)

X3_NIOKR (1000-4500)

0.08

0.23

(0.17)

(0.23)

X3_NIOKR (more than 4500)

0.48***

0.47**

(0.15)

(0.21)

X4_Income

0.24***

0.18*

(0.06)

(0.11)

X5_LabS

0.16

-0.13

(0.17)

(0.17)

X6_Employ

-0.11

-0.16*

(0.09)

(0.09)

X7_Dorm (0)

0.23

0.18

(0.13)

(0.13)

X7_Dorm (more than 50%)

-0.55***

-0.54**

(0.21)

(0.26)

X8_Phd

(0-60)

0.04

(0.14)

X8_Phd

(more than 70)

0.37

(0.37)

X9_NIOKRonNPR

0.06**

0.08**

(0.03)

(0.04)

Constant

-0.03

0.01

-0.13

-0.09

0.01

0.05

0.00

-0.16

-0.04

-0.02

-0.32

(0.07)

(0.09)

(0.09)

(0.14)

(0.06)

(0.09)

(0.08)

(0.11)

(0.11)

(0.09)

(0.20)

Observations

266

277

277

277

276

277

266

277

277

270

248

R-squared

0.02

0.03

0.02

0.04

0.05

0.00

0.01

0.03

0.01

0.00

0.15

*** p<0.01, ** p<0.05, * p<0.1

Приложение 6

Результаты регрессионного анализа Модели 6

VARIABLES

Z1_

Crime

Z2_

Population

Z3_

VPR

Z4_income

_month

Z5_

S4life

Z6_

Donor

Z7_

invest

Z8_

far

all

Z1_Crime

0.16**

0.13*

(0.06)

(0.08)

Z2_Population (40-60%)

0.10

0.33

(0.27)

(0.28)

Z2_Population (more than 85%)

0.40***

0.92***

(0.11)

(0.29)

Z3_VPR (0-200)

0.04

(0.26)

Z3_VPR (more than 600)

0.45***

(0.10)

Z4_income_month (0-20000)

-0.41***

-0.47***

(0.15)

(0.13)

Z4_income_month (more than 40000)

0.28**

0.16**

(0.11)

(0.16)

Z5_S4life

-0.15*

0.22

(0.08)

(0.14)

Z6_donor

0.19

-0.23

(0.17)

(0.31)

Z7_invest

0.04

0.08

(0.08)

(0.07)

Z8_far

-0.10***

-0.17**

(0.07)

(0.07)

Constant

-0.02

-0.12

-0.08

0.01

-0.00

-0.07

0.00

-0.01

-0.17

(0.10)

(0.09)

(0.09)

(0.10)

(0.07)

(0.08)

(0.09)

(0.11)

(0.12)

Observations

276

277

277

277

275

277

277

277

274

R-squared

0.02

0.03

0.03

0.04

0.02

0.01

0.00

0.01

0.11

*** p<0.01, ** p<0.05, * p<0.1

Размещено на Allbest.ru

...

Подобные документы

Работы в архивах красиво оформлены согласно требованиям ВУЗов и содержат рисунки, диаграммы, формулы и т.д.
PPT, PPTX и PDF-файлы представлены только в архивах.
Рекомендуем скачать работу.