title: Knowledge transfer processes for different experience levels of knowledge recipients at an offshore technical support center

authors: Chen, Jihong

subjects: China

abstract: This paper aims to focus on the relationships between the levels of knowledge and the type of knowledge transfer approaches, and the relationships between the types of knowledge and the knowledge transfer approaches which were adopted in a study of knowledge transfer from a US-based technical support center to an offshore support center in China.

text: Knowledge transfer processes for different experience levels of knowledge recipients at an offshore technical support center This paper aims to focus on the relationships between the levels of knowledge and the type of knowledge transfer approaches, and the relationships between the types of knowledge and the knowledge transfer approaches which were adopted in a study of knowledge transfer from a US-based technical support center to an offshore support center in China.

year: 2010

title: Cue word guided question generation with BERT model fine-tuned on natural question dataset

authors: Zhang, Zijing

subjects: Deep Learning

abstract: This thesis aims to develop an efficient question generator for an automated tutoring system. Given a context passage with an answer, the question generator asks questions to help the reader learn new material. By utilizing the BERT model, this thesis experiments on generating type-specific questions with a cue word. This thesis also uses an RNN encoder-decoder architecture for question generation on SQuAD as a comparative baseline and fine-tune the BERT question generation model on Google's Natural Question dataset. Ultimately, I deliver a RESTful API by the end of this year-long master program.

text: Cue word guided question generation with BERT model fine-tuned on natural question dataset This thesis aims to develop an efficient question generator for an automated tutoring system. Given a context passage with an answer, the question generator asks questions to help the reader learn new material. By utilizing the BERT model, this thesis experiments on generating type-specific questions with a cue word. This thesis also uses an RNN encoder-decoder architecture for question generation on SQuAD as a comparative baseline and fine-tune the BERT question generation model on Google's Natural Question dataset. Ultimately, I deliver a RESTful API by the end of this year-long master program.

year: 2020

title: Popoia te reo kia penapena: Nurture the language

authors: Berryman, Mere

subjects: Maori language

abstract: Research to develop a Māori language screening tool (Specialist Education Services, 2001), identified that students entering Māori Medium at five, could be classified into one of four Māori language competency, groups. Concurrently, teachers raised their need to identify the Māori language proficiency of five year olds entering Māori Medium so that more appropriate teaching strategies could be incorporated in preparation for literacy.
Accordingly, three Māori oral-language assessment tools, to help identify the Māori language competency of students entering Māori Medium settings at five years of age and provide formative information, were developed in response to this need. This paper details the development and trial of these tools.

text: Popoia te reo kia penapena: Nurture the language Research to develop a Māori language screening tool (Specialist Education Services, 2001), identified that students entering Māori Medium at five, could be classified into one of four Māori language competency, groups. Concurrently, teachers raised their need to identify the Māori language proficiency of five year olds entering Māori Medium so that more appropriate teaching strategies could be incorporated in preparation for literacy.
Accordingly, three Māori oral-language assessment tools, to help identify the Māori language competency of students entering Māori Medium settings at five years of age and provide formative information, were developed in response to this need. This paper details the development and trial of these tools.

year: 2009