No description available.

No description available.

At the beginning of the twenty-first century, the Australian Universities Quality Agency (AUQA) began to audit Australian universities. At the same time, universities were increasingly using online technologies for teaching and learning. Little is known about how these two significant changes in teaching and learning might be acting and interacting at a time of increasing focus by universities on the educational marketplace. This thesis investigates the AUQA audits carried out in 2002 of three Australian universities which had different locations in the Australian higher education marketplace and had different approaches to the use of online technologies. I use Critical Discourse Analysis (CDA) to analyse a range of artefacts produced between 2002 and 2005 by and about the universities. I analyse the first three editions of the AUQA manual, the universities' web sites before and after their audit, the submissions of those universities to AUQA, and the audit reports by AUQA on them. I explore the role that representations of the "online university" discourse play in constructions of a "quality university" discourse within these texts. I discovered a number of shifts in emphasis in the texts over time. Notions of the "online university", while prevalent in the texts produced early in the time frame of the study, were absent from later texts. Also, texts produced early in the study represented the three universities as very different institutions. However texts examined towards the end of the study represented the universities to be more similar in nature. Given the diverse nature of the institutions' market locations, I found that quality assurance processes work to reduce the representation of institutional diversity. There was evidence that the "online university" discourse came to be used more as a marketing tool and less as a marker of quality education over the time period of the study. I argue that AUQA's audits do not support institutions? various market positionings as described by Marginson and Considine (2000), but rather provide the imprimatur of "brand Australia" by producing representations of each institution that are safe and amenable to the audit process. The "online university" discourse speaks of new and borderless teaching strategies, while the "quality university" discourse speaks of containment and control of university activities. The bounding and limiting effect of the "quality university" discourse over the outward reaching "online university" discourse resulted in the three universities representing themselves in increasingly isomorphic ways. My analysis shows that over the time frame of the study, the surveillance of a national quality audit body, through self-audit by universities and the subsequent publication of reviews of universities by that body, produced more cautious representations of the universities and ironically, less direct influence by the audit body over universities? actions in the marketplace. The study suggests that the degree of influence which the ?online university? discourse and the "quality university" discourse have on the representations of universities is dependent largely on the degree to which they can impel universities within the market. / Thesis (PhD)--University of South Australia, 2007

No description available.

No description available.

In the information era, e-learning is considered as one of the means to increase the global competitiveness of a nation. Before e-learning is largely implemented in education system, it is important to assess the e-learning readiness of a society. However, previous research always focus on measuring the e-learning readiness of commercial organisations and tertiary institutions, leaving a huge research gap on the use and readiness of e-learning in primary and secondary schools. This thesis developed a model for identifying e-learning readiness levels of teachers in Hong Kong schools, with the aim of creating a general model which could be transferred to other countries which are less developed than Hong Kong, yet which all share common Asian cultures. This was a multi-stage research project, incorporating model building and empirical testing of a model based on the existing academic literature, through questionnaire surveys to both in-service and pre-service teachers triangulated by series of in-depth interviews.

Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.

Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.

Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.

Recent research has challenged the way in which personality and attitude constructs are measured. Alternatives have been offered as to how non-cognitive responses are modeled, the mode of delivery used when administrating such scales, and the impact of technology in measuring personality. Thus, the major purpose of the studies in this thesis concerns two interrelated issues of personality research, namely the way personality responses are best modeled, and the most optimal mode by which personality items are presented and associated modal issues. Three studies are presented. First, recent developments using an ideal point approach to scale construction are outlined, and an empirical study compares modeling personality items based on an ideal point approach (generalized graded unfolding model; GGUM) and a dominance approach (graded response model: GRM). Second, an extensive review of literature pertaining to the mode effect when transferring paper-and-pencil measures to screen was conducted, in addition to a review of the various types of computerized and innovative items and their associated psychometric information. Finally, nine innovative items were developed using various multimedia features (e.g., video, graphics, and audio) to ascertain the advantages of these methods to present items constructed to elicit response behavior underlying ideal point approaches, namely, typical response behavior. It was found that the dominance IRT model continued to produce superior model-data fit for most items, more attention needs to be placed on developing principles for constructing ideal point type items, the web-based version supplied 20% more construct information than the paper version, and innovative items seem to provide more data-model fit for students with lower personality attributes. While the innovative items may require more initial outlay in terms of time and development costs, they have the capacity to provide more information regarding test-takers’ personality levels, potentially using fewer items.