title: Ngā takenga o te riri

authors: Murphy, Ēnoka

subjects: Pakanga

abstract: Ko te kaupapa ake o tēnei tuhinga, ko te whakawhāriki i ētahi kōrero mō te takenga mai o te riri, o te pakanga ki tā rā ngā kōrero a te Māori. Ko aua take mai rā kei ngā kōrero o tua whakarere, e hokia ana ki a Ranginui rāua ko Papatūānuku me tā rāua hūnuku. Ko tāna e pātai ake nei, nō hea ake te riri Māori, otirā, te pakanga a te Māori? Nō hea anō hoki āna tikanga? He aha ā ērā kōrero tauiratanga mai ki te toa o te Māori ki te whawhai. Ka mutu, ko te wāhi uaua pea o ngā pātai nei, ko te āhua ki ngā kōrero a te Māori kāore nei i te tapatahi mō te oroko hīmatanga. Ahakoa rā, tērā ōna rite, ōna rerekē. Kua tuhia nuitia te kaupapa o te oroko tīmatanga mai o te ao e ngā momo o te kaituhi Pākehā, ā, tērā anō hoki ko ngā tuhinga a te Māori ake. Inā te rerekē o ngā kōrero mō te oroko hīmatanga mai o te ao, tērā noa ētahi kōrero kua tīkina hei mātaitanga mō tēnei rangahau, mō tēnei tuhinga. Ka mutu, ko tā tēnei tuhinga, he whakaatu i te takenga mai o te riri, o te matawhāura Māori.

text: Ngā takenga o te riri Ko te kaupapa ake o tēnei tuhinga, ko te whakawhāriki i ētahi kōrero mō te takenga mai o te riri, o te pakanga ki tā rā ngā kōrero a te Māori. Ko aua take mai rā kei ngā kōrero o tua whakarere, e hokia ana ki a Ranginui rāua ko Papatūānuku me tā rāua hūnuku. Ko tāna e pātai ake nei, nō hea ake te riri Māori, otirā, te pakanga a te Māori? Nō hea anō hoki āna tikanga? He aha ā ērā kōrero tauiratanga mai ki te toa o te Māori ki te whawhai. Ka mutu, ko te wāhi uaua pea o ngā pātai nei, ko te āhua ki ngā kōrero a te Māori kāore nei i te tapatahi mō te oroko hīmatanga. Ahakoa rā, tērā ōna rite, ōna rerekē. Kua tuhia nuitia te kaupapa o te oroko tīmatanga mai o te ao e ngā momo o te kaituhi Pākehā, ā, tērā anō hoki ko ngā tuhinga a te Māori ake. Inā te rerekē o ngā kōrero mō te oroko hīmatanga mai o te ao, tērā noa ētahi kōrero kua tīkina hei mātaitanga mō tēnei rangahau, mō tēnei tuhinga. Ka mutu, ko tā tēnei tuhinga, he whakaatu i te takenga mai o te riri, o te matawhāura Māori.

year: 2017

title: Tauira Rangatahi Numeracy and Literacy Programme: Apps in Numeracy and Literacy Research

authors: Calder, Nigel Stuart

subjects: Youth Guarantee

abstract: A key aspect of tertiary education undertaken by Te Wananga o Aotearoa (TWoA) is re-establishing engagement and success in the rangatahi space through meeting the literacy and numeracy demands for programmes at levels 1–3. TWoA has Youth Guarantee programmes that deliver introductory Sport and Leisure and Contemporary Māori Arts programmes with embedded literacy and numeracy. The purpose of this research project was to investigate tauira rangatahi attitudes towards literacy and numeracy development through the application of appropriate cultural capital in conjunction with contemporary digital technologies. The research examined the influence of iPad apps on the beliefs and attitudes of Youth Guarantee tauira towards numeracy and literacy.

text: Tauira Rangatahi Numeracy and Literacy Programme: Apps in Numeracy and Literacy Research A key aspect of tertiary education undertaken by Te Wananga o Aotearoa (TWoA) is re-establishing engagement and success in the rangatahi space through meeting the literacy and numeracy demands for programmes at levels 1–3. TWoA has Youth Guarantee programmes that deliver introductory Sport and Leisure and Contemporary Māori Arts programmes with embedded literacy and numeracy. The purpose of this research project was to investigate tauira rangatahi attitudes towards literacy and numeracy development through the application of appropriate cultural capital in conjunction with contemporary digital technologies. The research examined the influence of iPad apps on the beliefs and attitudes of Youth Guarantee tauira towards numeracy and literacy.

year: 2014

title: Applying machine learning to agricultural data

authors: McQueen, Robert J.

subjects: computer science

abstract: Many techniques have been developed for abstracting, or "learning," rules and relationships from diverse data sets, in the hope that machines can help in the often tedious and error-prone process of acquiring knowledge from empirical data. While these techniques are plausible, theoretically well-founded, and perform well on more or less artificial test data sets, they stand or fall on their ability to make sense of real-world data. This paper describes a project that is applying a range of learning strategies to problems in primary industry, in particular agriculture and horticulture. We briefly survey some of the more readily applicable techniques that are emerging from the machine learning research community, describe a software workbench that allows users to experiment with a variety of techniques on real-world data sets, and detail the problems encountered and solutions developed in a case study of dairy herd management in which culling rules were inferred from a medium-sized database of herd information.

text: Applying machine learning to agricultural data Many techniques have been developed for abstracting, or "learning," rules and relationships from diverse data sets, in the hope that machines can help in the often tedious and error-prone process of acquiring knowledge from empirical data. While these techniques are plausible, theoretically well-founded, and perform well on more or less artificial test data sets, they stand or fall on their ability to make sense of real-world data. This paper describes a project that is applying a range of learning strategies to problems in primary industry, in particular agriculture and horticulture. We briefly survey some of the more readily applicable techniques that are emerging from the machine learning research community, describe a software workbench that allows users to experiment with a variety of techniques on real-world data sets, and detail the problems encountered and solutions developed in a case study of dairy herd management in which culling rules were inferred from a medium-sized database of herd information.

year: 1994-07