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Start date: 2020Subject: search.filters.subject.Education, Higher

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    A cultural learning approach to acculturation : teaching and learning between native English-speaking teachers and university students in Southwest China : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Communication at Massey University, Wellington, New Zealand
    (Massey University, 2025-08-31) Zhou, Zhidan
    The globalisation of education has affected the teaching dynamics of native English-speaking teachers (NESTs) in the Chinese higher education system. The roles of NESTs are challenging and require a nuanced understanding of teaching effectiveness, cultural intelligence (CQ), and leadership in higher education. This study explores the complex and dynamic roles of NESTs in Chinese higher education, focusing on their teaching practices, CQ, and leadership contributions. Forty-five Chinese students, 15 NESTs and five Chinese university leaders (CULs) from Southwest China participated in semi-structured interviews. Findings highlight that the pedagogical practices of NESTs were viewed positively for practical language application but criticized for being culturally incompatible. Instructional outcomes showed that perceived immediacy positively influenced affective and behavioral learning but did not affect cognitive learning. In addition, CQ plays a crucial role in shaping NESTs’ teaching strategies, classroom engagement, and adaptability to diverse learning needs. Participants who described CQ-aligned practices reported more adaptive teaching and richer student participation. NESTs play an important leadership role in improving students' language skills and cultural knowledge. NESTs are credited with providing authentic language environments, innovative teaching methods, and cultural insights that enhance students’ language and cultural understanding. Despite these positive contributions, NESTs have faced various challenges in their leadership role. This study emphasizes the need for culturally responsive teaching, professional development for NESTs, and collaboration between NESTs and institutions, deepens the understanding of NESTs’ contributions to instructional communication, and offers suggestions for improving intercultural communication in global academic contexts
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    From gimmick to game-changer : a study on the use smartphones to expand access to higher education in sub-Saharan Africa : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Information Technology at Massey University, New Zealand
    (Massey University, 2022) Okore, Roxanne Hawi
    Today, blended university courses are designed with an unspoken assumption that students will use desktop PCs and laptops for online learning. Recent studies regarding smartphone usage in educational settings explore ways to adapt desktop PC and laptop content for viewing on smartphones; however, the impact of these studies is limited. Smartphones are still subservient to conventional platforms. While this is not an issue in developed countries, it is problematic for developing countries in sub-Saharan Africa. Only 20% of the population in sub-Saharan Africa own desktop PCs and laptops compared to 80% smartphone ownership. The dearth of these conventional platforms means many learners in sub-Saharan Africa are excluded from the benefits of blended learning. This research took the first steps to explore whether a student who owns a smartphone and does not have access to a desktop PC or laptop can successfully participate in a blended university course. Shaped by the pragmatist philosophical perspective, the research utilised a mixed-methods case study design. The case examined was Tom Mboya University College (TMUC), a Kenyan public university that exclusively offers on-campus courses. The research progressed in four phases: a feasibility study; survey with students (n = 114); interviews with lecturers (n = 17); and beta-testing of a smartphone-supported blended course with students. Results indicate that smartphones could provide a viable learning platform. Key findings identify that TMUC students and lecturers value smartphone-supported learning due to its ability to enhance collaborative learning activities. Furthermore, the results led to the development of a novel framework entitled ‘Smartphone Only Learning Environment’ (SOLE), that provides guidelines on how teachers can deliver blended university courses solely to smartphones.The research implication is three-fold: First, it facilitates introduction of blended learning in extraordinarily resource-constrained public universities of sub-Saharan Africa. Second, it provides the foundations for critical discussions on smartphone-supported online learning policies; notably, discussions about supporting teachers by providing an institution LMS are necessary. Finally, underpinned by the collectivist culture of sub-Saharan Africa, this research showcases opportunities for educators around the world to uncover learning theories that focus on more collaborative forms of blended learning.
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    Students' experiences and perceptions of relationships : a thesis presented in fulfilment of the requirements of the degree of Doctor of Philosophy in Education Massey University, Manawatu, New Zealand
    (Massey University, 2020) Marsh, Brian Noel
    This thesis reports on student experiences and perceptions of the relationships they encountered in their first year of study at a faculty of education. The research design uses an explanatory sequential mixed-methods approach to produce a nuanced view of the answers to the research question. Quantitative data were gathered from students via a Likert-scale survey questionnaire, followed by interviews with some of the survey participants. The quantitative data were analysed via factor analysis and factor scores were generated for five different relationship factors. The survey data were examined from the points of view provided by the demographic data gathered from the students. Semi-structured interviews with 17 students provided the opportunity to dig deeper into the stories that lay behind the questionnaire results. Findings are presented as a series of propositions: that peer relationships play a powerful role in binding students to their learning; that the relationship with the lecturer also plays this role; that the evidence about institutional relationships is mixed; that for some students, it is the relationship with the content that is the binding one; and that there exists a complex ecology of student needs, which need to be understood and addressed in different ways. Implications of the findings are that stakeholders in the higher education enterprise need to ensure the building of positive, supportive, learning relationships with students in the future; it is from the firm base of these relationships that successful, sustained learning will flow.
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    Prediction of students' performance through data mining : a thesis presented in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science, Massey University, Auckland, New Zealand
    (Massey University, 2020) Umer Baloch, Rahila
    Government funding to higher education providers is based upon graduate completions rather than on student enrollments. Therefore, unfinished degrees or delayed degree completions are major concerns for higher education providers since these problems impact their long-term financial security and overall cost-effectiveness. Therefore, providers need to develop strategies for improving the quality of their education to ensure increased enrollment and retention rates. This study uses predictive modeling techniques for assisting providers with real-time identification of struggling students in order to improve their course retention rates. Predictive models utilizing student demographic and other behavioral data gathered from an institutional learning platform have been developed to predict whether a student should be classed as at-risk of failing a course or not. Identification of at-risk students will help instructors take proactive measures, such as offering students extra help and other timely supports. The outcomes of this study will, therefore, provide a safety net for students as well as education providers in improving student engagement and retention rates. The computational approaches adopted in this study include machine learning techniques in combination with educational process mining methods. Results show that multi-purpose predictive models that were designed to operate across a variety of different courses could not be generalized due to the complexity and diversity of the courses. Instead, a meta-learning approach for recommending the best classification algorithms for predicting students’ performance is demonstrated. The study reveals how process-unaware learning platforms that do not accurately reflect ongoing learner interactions can enable the discovery of student learning practices. It holds value in reconsidering predictive modeling techniques by supplementing the analysis with contextually-relevant process models that can be extracted from stand-alone activities of process-unaware learning platforms. This provides a prescriptive approach for conducting empirical research on predictive modeling with educational data sets. The study contributes to the fields of learning analytics and education process mining by providing a distinctive use of predictive modeling techniques that can be effectively applied to real-world data sets.