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  • 1
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    Teaching for Excellence and Equity (2021)
    Springer Nature
    Details
    Publication Date: 2021-02-10
    Description: This open access book examines the interrelationship of national policy, teacher effectiveness, and student outcomes with a specific emphasis on educational equity. Using data from the IEA’s Trends in International Mathematics and Science Study (TIMSS) conducted between 1995 and 2015, it investigates grade four and grade eight data to assess trends in key teacher characteristics (experience, education, preparedness, and professional development) and teacher behaviors (instructional time and instructional content), and how these relate to student outcomes. Taking advantage of national curriculum data collected by TIMSS to assess changes in curricular strategy across countries and how these may be related to changes in teacher and student factors, the study focuses on the distributional impact of curriculum and instruction on students, paying particular attention to overall inequalities and variations in socioeconomic status at the student and country level, and how such factors have altered over time. Multiple methods, including regression and fixed effects analyses, and structural equation modelling, establish the evolution of these associations over time.
    Keywords: Education ; Assessment ; International education  ; Comparative education ; Teaching ; Educational policy ; Education and state ; Educational sociology  ; Education and sociology ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; bic Book Industry Communication::J Society & social sciences::JN Education ; bic Book Industry Communication::J Society & social sciences::JN Education::JNF Educational strategies & policy ; bic Book Industry Communication::J Society & social sciences::JN Education::JNK Organization & management of education::JNKD Examinations & assessment ; bic Book Industry Communication::J Society & social sciences::JN Education::JNM Higher & further education, tertiary education::JNMT Teacher training
    Language: English
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    E-BOOK
  • 2
    Electronic Resource
    Electronic Resource
    Modeling Cognitive Development on Balance Scale Phenomena (1994)
    Springer
    Machine learning 16 (1994), S. 57-86 
    Details
    ISSN: 0885-6125
    Keywords: cognitive development ; balance scale ; connectionist learning ; cascade-correlation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We used cascade-correlation to model human cognitive development on a well studied psychological task, the balance scale. In balance scale experiments, the child is asked to predict the outcome of placing certain numbers of equal weights at various distances to the left or right of a fulcrum. Both stage progressions and information salience effects have been found with children on this task. Cascade-correlation is a generative connectionist algorithm that constructs its own network topology as it learns. Cascade-correlation networks provided better fits to these human data than did previous models, whether rule-based or connectionist. The network model was used to generate a variety of novel predictions for psychological research.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1022630902151
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Modeling cognitive development on balance scale phenomena (1994)
    Springer
    Machine learning 16 (1994), S. 57-86 
    Details
    ISSN: 0885-6125
    Keywords: cognitive development ; balance scale ; connectionist learning ; cascade-correlation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract We used cascade-correlation to model human cognitive development on a well studied psychological task, the balance scale. In balance scale experiments, the child is asked to predict the outcome of placing certain numbers of equal weights at various distances to the left or right of a fulcrum. Both stage progressions and information salience effects have been found with children on this task. Cascade-correlation is a generative connectionist algorithm that constructs its own network topology as it learns. Cascade-correlation networks provided better fits to these human data than did previous models, whether rule-based or connectionist. The network model was used to generate a variety of novel predictions for psychological research.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00993174
    Location Call Number Expected Availability
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    Paper (German National Licenses)
    Fulltext
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