title: Multiple intelligences: fashionable or foundational?

authors: Scapens, Mennie (Mary-Ann)

abstract: Gardner's theory of Multiple Intelligences (MI) has been well received by many educators. Most of the literature on MI, however, concentrates on the primary school sector. This article considers the implications of MI for both primary and secondary sectors and suggests why the latter has been less responsive.

text: Multiple intelligences: fashionable or foundational? Gardner's theory of Multiple Intelligences (MI) has been well received by many educators. Most of the literature on MI, however, concentrates on the primary school sector. This article considers the implications of MI for both primary and secondary sectors and suggests why the latter has been less responsive.

year: 2005

title: The dynamic adjustment of factor inputs and its policy implications for major wheat producing areas in China

authors: Chen, Shuzhang

subjects: China

abstract: China's major wheat producing areas play a crucial role in ensuring domestic grain production and food security more generally and it is therefore of significance, both empirically and theoretically, to investigate the current situation and future tendencies of the sector. Based on input- and output-oriented DEA models, overall technical efficiency was estimated for the sector, and both radial and slack adjustments were calculated. The course of the dynamic adjustments was identified and presented for factor inputs over the past decade. The results show that the radial adjustments have exhibited a decreasing trend, while structural, slack adjustments have practically disappeared. The course of the dynamic adjustments suggests that there has been a transformation from labor-intensive to land-intensive and capital-intensive operations which will continue to dominate China's wheat production sector. As a consequence, to optimize factor inputs and reduce radical and slack adjustments, it seems necessary that the major wheat producing areas reduce labor inputs; enhance land-intensive operations; and increase agricultural mechanization.

text: The dynamic adjustment of factor inputs and its policy implications for major wheat producing areas in China China's major wheat producing areas play a crucial role in ensuring domestic grain production and food security more generally and it is therefore of significance, both empirically and theoretically, to investigate the current situation and future tendencies of the sector. Based on input- and output-oriented DEA models, overall technical efficiency was estimated for the sector, and both radial and slack adjustments were calculated. The course of the dynamic adjustments was identified and presented for factor inputs over the past decade. The results show that the radial adjustments have exhibited a decreasing trend, while structural, slack adjustments have practically disappeared. The course of the dynamic adjustments suggests that there has been a transformation from labor-intensive to land-intensive and capital-intensive operations which will continue to dominate China's wheat production sector. As a consequence, to optimize factor inputs and reduce radical and slack adjustments, it seems necessary that the major wheat producing areas reduce labor inputs; enhance land-intensive operations; and increase agricultural mechanization.

year: 2013

title: The Research Data Landscape in Aotearoa New Zealand: A report undertaken in partnership with the Aotearoa New Zealand Committee on Data in Research (CoDiR)

authors: Sterling, Rogena

abstract: Data and datasets are often described as a core strategic asset for Aotearoa New Zealand (Aotearoa) and indispensable for the government’s ambition of being a small nation with an advanced, adaptive, and inclusive economy. In the context of our research, science and innovation (RSI) ecosystem, the value of data cannot be overstated. 
The purpose of this report is to provide a review (the Review) of Aotearoa’s research data landscape. Research data are data that are used as primary sources to support technical or scientific enquiry, research, or artistic activity; as evidence in the research process; and/or are commonly accepted in the
research community as necessary to provide a foundation for, or validate research findings and results. The Review covers four core areas:

• Te Tiriti o Waitangi and data sovereignty
• research data ecosystems
• research data infrastructure
• research data cultures.

Although informed by international data landscape reviews, this Review emphasises the unique considerations and structural features of the Aotearoa data landscape. Based on our analysis and observations from a series of targeted workshops, we provide a set of recommendations on how to strengthen the system and advance shared aspirations for better outcomes. The recommendations are organised under the five headings from Nosek’s Pyramid of Social Change, setting out a phased strategy for culture and behaviour change. In implementing these recommendations, we recognise that the articles of Te Tiriti should be embedded throughout, consistent with sector requirements (MBIE, 2023d).

text: The Research Data Landscape in Aotearoa New Zealand: A report undertaken in partnership with the Aotearoa New Zealand Committee on Data in Research (CoDiR) Data and datasets are often described as a core strategic asset for Aotearoa New Zealand (Aotearoa) and indispensable for the government’s ambition of being a small nation with an advanced, adaptive, and inclusive economy. In the context of our research, science and innovation (RSI) ecosystem, the value of data cannot be overstated. 
The purpose of this report is to provide a review (the Review) of Aotearoa’s research data landscape. Research data are data that are used as primary sources to support technical or scientific enquiry, research, or artistic activity; as evidence in the research process; and/or are commonly accepted in the
research community as necessary to provide a foundation for, or validate research findings and results. The Review covers four core areas:

• Te Tiriti o Waitangi and data sovereignty
• research data ecosystems
• research data infrastructure
• research data cultures.

Although informed by international data landscape reviews, this Review emphasises the unique considerations and structural features of the Aotearoa data landscape. Based on our analysis and observations from a series of targeted workshops, we provide a set of recommendations on how to strengthen the system and advance shared aspirations for better outcomes. The recommendations are organised under the five headings from Nosek’s Pyramid of Social Change, setting out a phased strategy for culture and behaviour change. In implementing these recommendations, we recognise that the articles of Te Tiriti should be embedded throughout, consistent with sector requirements (MBIE, 2023d).

year: 2023