Teaching Australian cello music to Intermediate students: An exploratory study of motivation through repertoire

This paper explores the motivational aspects of repertoire for intermediate student cellists. Research into interest and intrinsic motivation related to the learning of instrumental music has been limited to date. As a cello teacher interested in including contemporary and Australian music in my students' studies I started to research availability of Australian repertoire for intermediate cellists and found that there was limited accessibility to such pedagogical material at this level. This study emerged as a way of providing useful information to composers. It investigates intrinsic motivation by questioning students and their teachers about which aspects of music repertoire are most likely to inspire students to practice more and strive for excellence. This paper presents the findings of the purpose-designed questionnaire distributed to cello teachers in Queensland. A similar set of questions has been prepared for student cellists and information gathering from students is still underway. Musical aspects investigated include technique and its development, style, harmony, tempo (speed), and rhythm. The questionnaire gathered information on the most frequently used teaching repertoire and teachers' experiences in teaching contemporary and Australian repertoire. This information was balanced with questions regarding the technical developmental requirements perceived necessary for intermediate students as well as other motivational aspects. It is hoped that information collated from this research will be of benefit in the selection of motivational repertoire for intermediate student cellists and especially in promoting the composition of Australian pieces for intermediate cellists.

Verification and validation of autonomous systems

NASA is working on complex future missions that require cooperation between multiple satellites or rovers. To implement these systems, developers are proposing and using intelligent and autonomous systems. These autonomous missions are new to NASA, and the software development community is just learning to develop such systems. With these new systems, new verification and validation techniques must be used. Current techniques have been developed based on large monolithic systems. These techniques have worked well and reliably, but do not translate to the new autonomous systems that are highly parallel and nondeterministic.

Hippocampal models for simultaneous localisation and mapping on an autonomous robot

To navigate successfully in a novel environment a robot needs to be able to Simultaneously Localize And Map (SLAM) its surroundings. The most successful solutions to this problem so far have involved probabilistic algorithms, but there has been much promising work involving systems based on the workings of part of the rodent brain known as the hippocampus. In this paper we present a biologically plausible system called RatSLAM that uses competitive attractor networks to carry out SLAM in a probabilistic manner. The system can effectively perform parameter self-calibration and SLAM in onedimension. Tests in two dimensional environments revealed the inability of the RatSLAM system to maintain multiple pose hypotheses in the face of ambiguous visual input. These results support recent rat experimentation that suggest current competitive attractor models are not a complete solution to the hippocampal modelling problem.