Language and learning preferences : a study of university students in Australia

This study sought to investigate the preferences for language use and modes of learning of university students who were completing undergraduate degrees in Australia. Of the sixty students surveyed, forty percent were international students. For seventy five percent of all students sampled, either they or their parents (or both) were bi- or multilingual. Questions which this research sought to answer were: Do the preferences for learning of university students differ according to the culture and / or language backgrounds of the students? Does an individual student’s preferred learning style influence the student’s preferences for learning in a group situation? For students whose first language is not English, do their preferences for language use vary in group learning? General findings resulting from a statistical analysis of responses to the questionnaire indicated in many, but not all, cases that the preferences for learning of university students differed according to the cultural and / or language backgrounds of the students, that an individual student’s preferred learning style influenced the student’s preferences for learning in a group situation, and that the preferences for language use of students whose first language was not English varied in group learning. Reid’s (1984 in Richards, J.C. & Lockhart, C., 1994) “Perceptual learning style preference questionnaire” comprised one section of the questionnaire for this study. This replication made possible a comparison of the findings which related to students’ learning styles from this study with findings from similar studies in which Reid’s survey instrument had been used. Findings of the present study indicate a number of differences from Reid’s findings. This study found, for example, that most language groups showed a minor preference for group learning using this survey instrument whereas Reid had found that group learning was a negligible preference for most of the language groups in her study. This study may give tertiary educators a greater understanding of their students’ preferences for group and other learning styles. It may also inform them of the likely preferences for language use of those of their students who have first languages other than English. Future students may benefit from this.

Discovering the value that the library can contribute to quality teaching and learning through student evaluation data

Large surveys of library user service quality perception are common. However, student evaluation of teaching (SET) data often show a disparity between ratings of library service quality and library resource quality. In this situation, perhaps SET data can also provide insights into what contributes to the perception of library resource quality, and hence identify leverage points for quality improvement interventions. This paper documents an analysis of available Deakin University SET data relating to student interaction with, and evaluation of, library resources. It highlights significant correlations associated with library-related SET items, and from them infers actions that the library could undertake to improve the value and perception of the quality of library resources. The following results were observed. High ratings for library resources were likely to be associated with high general ratings of teaching and unit quality. Postgraduate coursework students rated library resources significantly higher than students in the first three years of undergraduate programs. Students in one faculty (Health) rated library resources significantly higher than students in all other faculties. There was a strong correlation observed in Australasian Survey of Student Engagement data for both 2009 and 2010 between the two items “Used library resources on campus or online” and “Worked on an essay or assignment that required integrating ideas or information from various sources”. These findings suggest the following conclusions. Well-planned learning environments are likely to integrate meaningful student interaction with the library. Initiatives to improve the value and perception of the quality of library resources should be focussed on the specific characteristics and needs of particular student cohorts to have maximum impact. More sophisticated assessment tasks that require students to interact with the library have the potential to result in higher student ratings of the value of library resources.

Teaching and learning innovations for postgraduate education in nursing

This paper begins with a literature review of blended learning approaches, including the creation of learning spaces in the online environment and the model of community of inquiry and collaborative learning promoted by Garrison and others. This model, comprising of three elements including ‘social presence’, ‘cognitive presence’ and ‘teaching presence’, guides academics in the development and delivery of quality programs designed to enhance each student’s experience of their course. The second part of this paper is the application of blended learning for the Deakin University Master of Nursing Practice (Nurse Practitioner), including a range of online independent learning activities, Elluminate Live use (a real time online program) and on-campus contact with students. The application of these flexible and innovative online modalities offered in this course, have been designed to promote quality learning experiences for students around their employment commitments and lifestyle factors. As an off-campus course, the Master of Nursing Practice (Nurse Practitioner) presents as a more flexible option for nurses residing in various parts of Australia. The three core elements of the model of community of inquiry and collaborative learning by Garrison and others have been integrated through online teaching and learning access and face-to-face contact for one day in two trimesters of the academic year. The success of blended learning approaches are underpinned by effective communication and interactions between both academics and students.

Teaching and learning history in primary schools : pedagogical shifts, complexities and opportunities

From 2011 the teaching and learning of History will be expanded into all primary schools (Kindergarten – Year 6) throughout Australia under a National Curriculum, including the formal preschool/kindergarten year. History as one of four core subjects will replace current studies of society and environment curriculum taught in primary schools across. The curriculum implementation process will involve a cultural and pedagogical shift as primary teachers make adjustments to the discipline of History. This article begins with an outline of the current curriculum context. An analysis of the New South Wales Human Society and Its Environment and the Australian Curriculum: History Draft Consultation documents follows. The findings indicate that the History Draft Consultation lacks clear guidance for teachers and has a number of shortcomings compared to the NSW HSIE syllabus. There are opportunities, however, for primary teachers because of the broad similarities of content knowledge in both documents and the embedded historical concepts in the NSW syllabus document.

Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

Identification of unnatural control chart patterns (CCPs) from manufacturing process measurements is a critical task in quality control as these patterns indicate that the manufacturing process is out-of-control. Recently, there have been numerous efforts in developing pattern recognition and classification methods based on artificial neural network to automatically recognize unnatural patterns. Most of them assume that a single type of unnatural pattern exists in process data. Due to this restrictive assumption, severe performance degradations are observed in these methods when unnatural concurrent CCPs present in process data. To address this problem, this paper proposes a novel approach based on singular spectrum analysis (SSA) and learning vector quantization network to identify concurrent CCPs. The main advantage of the proposed method is that it can be applied to the identification of concurrent CCPs in univariate manufacturing processes. Moreover, there are no permutation and scaling ambiguities in the CCPs recovered by the SSA. These desirable features make the proposed algorithm an attractive alternative for the identification of concurrent CCPs. Computer simulations and a real application for aluminium smelting processes confirm the superior performance of proposed algorithm for sets of typical concurrent CCPs.

Techno-literacy and learning in blended, multicultural course environments

For the last two decades, higher education institutions have been actively engaged in the use of online technology with the aim of transforming the way we teach and learn to improve students’ learning experiences and outcomes. However, despite significant investment in infrastructure and training and a wide-scale uptake of such technologies, the promised transformative effect on student learning is yet to be actualised outside of small pockets of innovation. In this paper, we argue that one of the factors contributing to lack of qualitative large-scale transformation is students’ lack of preparedness and experience in using online tools for learning purposes. Drawing on an ethnographic study of culturally diverse computing students and teachers within learning environments that blend online and face-to-face pedagogies, we argue that, although contemporary university students are largely operationally literate when using online learning tools, they often lack the cultural and critical skills required to use such technologies in a meaningful way to support powerful learning. We argue that, for online learning technologies to transform learning, students need to be supported to develop these higher order techno-literacy skills.

Engagement and learning through social software in finance : a retrospective on the Trading Room experience

The introduction of a social software blog space called the Trading Room in an undergraduate finance unit generated a great deal of activity to support student learning. A subsequent evaluation of this innovation, viewed through the lens of Activity Theory, demonstrated that students perceived high value in the opportunity it provided for them to reaffirm theories, obtain individualised feedback and benchmark their work against others. While assessment is generally seen as the carrot and the stick of learning; students in the study reported that they would still participate in reading and posting to the Trading Room even if there was no assessment requirement. Students did not see any value in the environment as a purely social space, reporting that they saw it primarily as a professional educational community. It would appear that just as there are different communities in the real world social space, there are also different types of communities in the online space.

Using models in teaching and learning science

Models can be excellent tools to help explain abstract scientific concepts and for students to better understand these abstract concepts. A model could be a copy or replica, but it can also be a representation that is not like the real thing but can provide insight about a scientific concept. Models come in a variety of forms, such as three dimensional and concrete, two dimensional and pictorial, and digital forms. The features of models often depend on their purpose: for example, they can be visual, to show what something might look like, dynamic to show how something might work, and or interactive to show how something might respond to changes. One model is often not an accurate representation of a concept, so multiple models may be used.
Students’ modelling ability has been shown to improve through instruction and with practice of mapping the model to the real thing, highlighting the similarities and differences. The characteristics of a model that can be used in this assessment include accuracy and purpose. Models are commonly used by science teachers to describe, and explain scientific concepts, however, pedagogical approaches that include students using models to make predictions and test ideas about scientific concepts encourages students to use models for higher order thinking processes. This approach relates the use of models to the way scientists work, reflecting the nature of science and the development of scientific ideas. This chapter will focus on the way models are used in teaching: identifying pedagogical processes to raise students’ awareness of characteristics of models. In this way, the strengths and limitations of any model are assessed in relation to the real thing so that the accuracy and merit of the model and its explanatory power can be determined.