Ensino da avaliação perceptivoauditiva da voz por meio de um ambiente virtual de aprendizagem

A avaliação vocal é realizada predominantemente por meio da avaliação perceptivoauditiva, sendo dependente de conhecimentos teóricos prévios e de treinamento prático e dinâmico. Entretanto, ainda são escassas as iniciativas educacionais que se utilizam das novas tecnologias para o ensino da avaliação perceptivoauditiva da voz. A utilização de estratégias com novas tecnologias de informação e comunicação, hoje tão presentes e familiarizadas no meio universitário, apresentam o intuito de facilitar e otimizar o processo de ensino e aprendizagem. Desta forma, este estudo teve o propósito de elaborar e avaliar um curso a distância em um ambiente virtual de aprendizagem sobre essa temática. Elaborou-se um curso a distância sobre a avaliação perceptivoauditiva da voz organizado em quatro módulos principais: 1. Noções básicas de anatomia e fisiologia da fonação; 2. Ouvindo vozes; 3. Avaliação perceptivoauditiva da voz e 4. Aplicabilidade da avaliação perceptivoauditiva da voz, além de um adicional com vídeos sobre curiosidades e sugestão de material complementar para estudo. O ambiente virtual de aprendizagem (AVA) também apresentou diversas ferramentas educacionais como textos, imagens ilustrativas, videoaulas, vídeos, arquivos de áudio, atividades práticas individuais, fóruns, além de recursos de interatividade entre alunos e tutora. Este material foi antecipadamente avaliado por três especialistas que avaliaram o material positivamente como uma inovadora e importante ferramenta educacional que poderá ser utilizada na formação de estudantes na área de voz. Foram convidados a participar do curso a distância, 133 alunos do 1o ao 4o ano de um curso de graduação em Fonoaudiologia de uma Universidade do interior paulista. Concordaram em participar 33 estudantes e desses, nove concluíram o curso. Os alunos responderam a avaliações de conteúdo nos momentos pré e pós-curso, de forma presencial e a avaliações de cada módulo, realizadas por meio de questões específicas e atividades práticas, no próprio site. Ao término do curso os alunos também responderam a uma avaliação motivacional do AVA. Observou-se diferença estatisticamente significante na média de acertos nas provas pré e pós-curso dos alunos, nas questões teóricas (p= 0,031), nas práticas (p=0,000) e no total (p=0,002), demonstrando que o material elaborado foi capaz de aumentar o conhecimento dos estudantes a respeito de seu tema. O AVA apresentou alto índice de satisfação motivacional e foi avaliado por todos os participantes como um curso impressionante, de acordo com o instrumento de avaliação motivacional utilizado. Conclui-se que foi possível elaborar um ambiente virtual de aprendizagem (AVA), em formato de curso a distância, sobre a temática da avaliação perceptivoauditiva da voz e que o material elaborado apresenta um importante potencial de ensino e aprendizagem sobre esse tema.

A conceptual model of personalized virtual learning environments

The Virtual Learning Environment (VLE) is one of the fastest growing areas in educational technology research and development. In order to achieve learning effectiveness, ideal VLEs should be able to identify learning needs and customize solutions, with or without an instructor to supplement instruction. They are called Personalized VLEs (PVLEs). In order to achieve PVLEs success, comprehensive conceptual models corresponding to PVLEs are essential. Such conceptual modeling development is important because it facilitates early detection and correction of system development errors. Therefore, in order to capture the PVLEs knowledge explicitly, this paper focuses on the development of conceptual models for PVLEs, including models of knowledge primitives in terms of learner, curriculum, and situational models, models of VLEs in general pedagogical bases, and particularly, the definition of the ontology of PVLEs on the constructivist pedagogical principle. Based on those comprehensive conceptual models, a prototyped multiagent-based PVLE has been implemented. A field experiment was conducted to investigate the learning achievements by comparing personalized and non-personalized systems. The result indicates that the PVLE we developed under our comprehensive ontology successfully provides significant learning achievements. These comprehensive models also provide a solid knowledge representation framework for PVLEs development practice, guiding the analysis, design, and development of PVLEs. (c) 2005 Elsevier Ltd. All rights reserved.

Intelligent agent supported personalization for virtual learning environments

Virtual learning environments (VLEs) are computer-based online learning environments, which provide opportunities for online learners to learn at the time and location of their choosing, whilst allowing interactions and encounters with other online learners, as well as affording access to a wide range of resources. They have the capability of reaching learners in remote areas around the country or across country boundaries at very low cost. Personalized VLEs are those VLEs that provide a set of personalization functionalities, such as personalizing learning plans, learning materials, tests, and are capable of initializing the interaction with learners by providing advice, necessary instant messages, etc., to online learners. One of the major challenges involved in developing personalized VLEs is to achieve effective personalization functionalities, such as personalized content management, learner model, learner plan and adaptive instant interaction. Autonomous intelligent agents provide an important technology for accomplishing personalization in VLEs. A number of agents work collaboratively to enable personalization by recognizing an individual's eLeaming pace and reacting correspondingly. In this research, a personalization model has been developed that demonstrates dynamic eLearning processes; secondly, this study proposes an architecture for PVLE by using intelligent decision-making agents' autonomous, pre-active and proactive behaviors. A prototype system has been developed to demonstrate the implementation of this architecture. Furthemore, a field experiment has been conducted to investigate the performance of the prototype by comparing PVLE eLearning effectiveness with a non-personalized VLE. Data regarding participants' final exam scores were collected and analyzed. The results indicate that intelligent agent technology can be employed to achieve personalization in VLEs, and as a consequence to improve eLeaming effectiveness dramatically.

Virtual teachers: Negotiating new spaces for teaching bodies

In 2002, the authors reviewed the educational performance of a state education department virtual schooling service during its first 2 years of operation, 2000-2001 (Pendergast, Kapitzke, Land, Luke, & Bahr, 2002). Established by Education Queensland, the Virtual Schooling Service (VSS) utilises synchronous and asynchronous online delivery strategies and a range of learning technologies to support students at a distance (see http://education.qld.gov.au/learningplace/vss/). The service commenced with a focus on senior secondary subjects. At present, there are over 700 students in 89 schools across the state enrolled in 9 subjects. In response to the recommendations of the study, a series of professional development activities were conducted with the VSS teachers by the authors. Opportunity for critical reflection was provided, including consideration of the ways in which the teachers were developing as a learning community. Some data, including visual representations, were collected from participants with the purpose of understanding how VSS teachers are constructed as professionals. This study compares and contrasts that data with self-constructions of teacher professionals in other fields.

A qualitative assessment of communicating spatial concepts in virtual and physical environments via a text-based medium

The pedagogical exercise described here was used to investigate how spatial communication about the manipulation of objects in a virtual and physical space is communicated between remote partners. It continues work done by others. Where it differs from previous research in this area is in its use of a qualitative methodology to study how these types of interactions are structured, communicated and interpreted via text-based media. What emerged from the qualitative analysis are new insights over the previous quantitative investigations. This paper reports on completed research.