title: Do we expect too much? Reflection on chemistry content in higher education

authors: Coll, Richard K.

subjects: chemistry

abstract: Education research in the 1970s, like other related areas, was dominated by quantitative work¹ during an era for which social sciences sought to draw upon the successful scientific approach typically used in the physical sciences (in particular) to investigate teaching and learning.¹’² So if we felt a cohort of students did not understand some con¬cept, we tried to find out whether or not a different teach¬ing approach could fix their misconceptions.³ But how to do this? Well, drawing on a scientific approach, we would divide the class or classes up, teach one cohort the same way we always had, and the other cohort in our new way, and evaluate any differences in conceptual understanding using, e.g. a standardized topic test. Differences would be examined for statistical significance of evidence that our new approach to teaching had worked. And this is the way much research was done at the time. Control of variables, randomized sampling, and so on, were all embedded in such an approach to educational research.

text: Do we expect too much? Reflection on chemistry content in higher education Education research in the 1970s, like other related areas, was dominated by quantitative work¹ during an era for which social sciences sought to draw upon the successful scientific approach typically used in the physical sciences (in particular) to investigate teaching and learning.¹’² So if we felt a cohort of students did not understand some con¬cept, we tried to find out whether or not a different teach¬ing approach could fix their misconceptions.³ But how to do this? Well, drawing on a scientific approach, we would divide the class or classes up, teach one cohort the same way we always had, and the other cohort in our new way, and evaluate any differences in conceptual understanding using, e.g. a standardized topic test. Differences would be examined for statistical significance of evidence that our new approach to teaching had worked. And this is the way much research was done at the time. Control of variables, randomized sampling, and so on, were all embedded in such an approach to educational research.

year: 2008

title: Chronological modelling of village sites across the Torres Strait

authors: Linnenlucke, Lauren

abstract: Village sites were a catalyst for cultural transformation and ongoing ritual development throughout the Torres Strait. Current understandings date the development of village sites to between c.1500 years and c. 500 years ago. To narrow down the timing of these events, we use stable carbon isotope (δ13C) values alongside shell 14C dates to develop chronological models of excavated village sites from the Western, Top Western, Central and Eastern Islands. Results further our understanding of temporal events associated with major settlement expansion throughout the region over the last two millennia.

text: Chronological modelling of village sites across the Torres Strait Village sites were a catalyst for cultural transformation and ongoing ritual development throughout the Torres Strait. Current understandings date the development of village sites to between c.1500 years and c. 500 years ago. To narrow down the timing of these events, we use stable carbon isotope (δ13C) values alongside shell 14C dates to develop chronological models of excavated village sites from the Western, Top Western, Central and Eastern Islands. Results further our understanding of temporal events associated with major settlement expansion throughout the region over the last two millennia.

year: 2020

title: Understanding Māori rights and interests in intellectual property arising from research and innovation

authors: Sterling, Rogena

abstract: In the era of big data, the significance of data as a raw material for production and a source of societal and economic value has grown immensely. Advances in data mining, analytics, computing power, and storage capacity have facilitated broader access and utilization of big data for corporate and governmental purposes. This surge aligns with the knowledge economy, emphasizing knowledge-intensive activities to drive economic growth, a focus underscored in the latest Government Strategy.

However, as the knowledge economy expands, concerns arise about equity, Treaty partnerships, and the need to address issues of Māori data sovereignty and Indigenous data sovereignty. Discussions around Māori data sovereignty emphasize the importance of Māori control over various forms of Māori data, such as Mātauranga Māori, taonga species, and administrative data. Organizations like Te Mana Raraunga have been instrumental in developing principles and audit tools to support Māori data sovereignty.

Amidst these developments, questions have surfaced about the protection of Māori intellectual property (IP) within Aotearoa New Zealand, particularly outlined in the WAI262 report. This report, funded by Genomics Aotearoa and the National Science Challenge Science for Technological Innovation, aims to address these concerns. The project includes a literature review examining national legislation and international agreements constituting New Zealand's Intellectual Property Rights regime. This review explores how these frameworks safeguard Māori IP rights concerning Māori data, genomic data, and Mātauranga Māori. The second component involves a survey targeting research institutions to assess the presence of IP policies protecting Māori data in research and innovation processes.

The report provides a concise summary of the literature review and survey findings, with the overarching goal of assisting institutions in developing policies that safeguard Māori rights over their knowledge and data. The objective is to ensure equitable benefit-sharing throughout the innovation processes and address the evolving landscape of data sovereignty.

text: Understanding Māori rights and interests in intellectual property arising from research and innovation In the era of big data, the significance of data as a raw material for production and a source of societal and economic value has grown immensely. Advances in data mining, analytics, computing power, and storage capacity have facilitated broader access and utilization of big data for corporate and governmental purposes. This surge aligns with the knowledge economy, emphasizing knowledge-intensive activities to drive economic growth, a focus underscored in the latest Government Strategy.

However, as the knowledge economy expands, concerns arise about equity, Treaty partnerships, and the need to address issues of Māori data sovereignty and Indigenous data sovereignty. Discussions around Māori data sovereignty emphasize the importance of Māori control over various forms of Māori data, such as Mātauranga Māori, taonga species, and administrative data. Organizations like Te Mana Raraunga have been instrumental in developing principles and audit tools to support Māori data sovereignty.

Amidst these developments, questions have surfaced about the protection of Māori intellectual property (IP) within Aotearoa New Zealand, particularly outlined in the WAI262 report. This report, funded by Genomics Aotearoa and the National Science Challenge Science for Technological Innovation, aims to address these concerns. The project includes a literature review examining national legislation and international agreements constituting New Zealand's Intellectual Property Rights regime. This review explores how these frameworks safeguard Māori IP rights concerning Māori data, genomic data, and Mātauranga Māori. The second component involves a survey targeting research institutions to assess the presence of IP policies protecting Māori data in research and innovation processes.

The report provides a concise summary of the literature review and survey findings, with the overarching goal of assisting institutions in developing policies that safeguard Māori rights over their knowledge and data. The objective is to ensure equitable benefit-sharing throughout the innovation processes and address the evolving landscape of data sovereignty.

year: 2021-05