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中國高齡學習者的成功老化 版權信息
- ISBN：9787308161626
- 條形碼：9787308161626 ; 978-7-308-16162-6
- 裝幀：一般膠版紙
- 冊數(shù)：暫無
- 重量：暫無
- 所屬分類：>
中國高齡學習者的成功老化 內(nèi)容簡介
呂文娟編著的《中國高齡學習者的成功老化(英文版)》將立足國內(nèi)，從我國高齡學習者的視角探討“成功老化”理念，具體圍繞以下幾個問題展開：1、中國高齡學習者如何定義“成功老化”？與西方有何差異？2、中國高齡學習者如何界定“成功老化”與“高齡教育”之間的關系？3、為了達到成功老化，中國高齡學習者的學習需求是什么？
中國高齡學習者的成功老化 目錄
Acknowledgements
Preface
Chapter 1 Introduction
1.1 Research background
1.2 Statement of the problem
1.3 Research questions
1.4 Definition of terms
1.5 Limitations
Chapter 2 Literature Review
2.1 Aging and older adult education
2.1.1 Understanding of aging
2.1.2 Older adults as learners
2.2 Older adult education in China
2.2.1 Theoretical research of older adult education in China
2.2.2 Development of older adult education in Shanghai ...
2.3 Successful aging and learning in later life
2.3.1 Successful aging models
2.3.2 Successful aging predictors
2.3.3 Older adults' perceptions of successful aging
2.3.4 Successful aging through learning participation
Chapter 3 Methodology
3.1 Design of the study
3.2 Research instrument
3.2.1 Validity and reliability of the questionnaire
3.2.2 Factor analysis of the questionnaire
3.3 Sampling procedure
3.3.1 Defining target and accessible population
3.3.2 Defining sampling area
3.3.3 Eligibility of samples and sampling size
3.4 Data-analysis procedure
Chapter 4 Findings and Discussion
4.1 Socio-demographic characteristics of the participants
4.2 Learning participation level
4.3 Chinese older adults' perceptions of successful aging
4.4 Chinese older adults' opinions on learning and successful aging -.
4.5 Chinese older adults' learning needs for successful aging
4.6 Differences revealed in the participants' socio-demog-raphic characteristics
4.6.1 Inferential analysis of gender based on PSA, RPSA,and LNSA scales
4.6.2 Inferential analysis of age based on PSA, RPSA, and LNSA scales
4.6.3 Inferential analysis of educational background based on PSA, RPSA, and LNSA scales
4.6.4 Inferential analysis of marital status based on PSA,RPSA, and LNSA scales
4.6.5 Inferential analysis of living status based on PSA,RPSA, and LNSA scales
4.6.6 Inferential analysis of health condition based on PSA, RPSA, and LNSA scales
4.6.7 Inferential analysis of monthly income based on PSA, RPSA, and LNSA scales
Chapter 5 Conclusion
5.1 Summary and conclusion
5.2 Recommendations for future research
References
Appendix A
Appendix B
Preface
Chapter 1 Introduction
1.1 Research background
1.2 Statement of the problem
1.3 Research questions
1.4 Definition of terms
1.5 Limitations
Chapter 2 Literature Review
2.1 Aging and older adult education
2.1.1 Understanding of aging
2.1.2 Older adults as learners
2.2 Older adult education in China
2.2.1 Theoretical research of older adult education in China
2.2.2 Development of older adult education in Shanghai ...
2.3 Successful aging and learning in later life
2.3.1 Successful aging models
2.3.2 Successful aging predictors
2.3.3 Older adults' perceptions of successful aging
2.3.4 Successful aging through learning participation
Chapter 3 Methodology
3.1 Design of the study
3.2 Research instrument
3.2.1 Validity and reliability of the questionnaire
3.2.2 Factor analysis of the questionnaire
3.3 Sampling procedure
3.3.1 Defining target and accessible population
3.3.2 Defining sampling area
3.3.3 Eligibility of samples and sampling size
3.4 Data-analysis procedure
Chapter 4 Findings and Discussion
4.1 Socio-demographic characteristics of the participants
4.2 Learning participation level
4.3 Chinese older adults' perceptions of successful aging
4.4 Chinese older adults' opinions on learning and successful aging -.
4.5 Chinese older adults' learning needs for successful aging
4.6 Differences revealed in the participants' socio-demog-raphic characteristics
4.6.1 Inferential analysis of gender based on PSA, RPSA,and LNSA scales
4.6.2 Inferential analysis of age based on PSA, RPSA, and LNSA scales
4.6.3 Inferential analysis of educational background based on PSA, RPSA, and LNSA scales
4.6.4 Inferential analysis of marital status based on PSA,RPSA, and LNSA scales
4.6.5 Inferential analysis of living status based on PSA,RPSA, and LNSA scales
4.6.6 Inferential analysis of health condition based on PSA, RPSA, and LNSA scales
4.6.7 Inferential analysis of monthly income based on PSA, RPSA, and LNSA scales
Chapter 5 Conclusion
5.1 Summary and conclusion
5.2 Recommendations for future research
References
Appendix A
Appendix B
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