Philosophiae Doctor - PhD / The use of computers in the classroom could allow both educators and learners to achieve new capabilities. There are underlying factors, however, that are obstructing the adoption rate of computer use for instructional purposes in schools. The study focused on these problems with a view to determining which critical success factors promote a higher adoption rate of computer usage in education. This study derived its theoretical framework from various technology adoption and educational models Methodology: The nature of the study required a . Furthermore, it investigated ways in which computer technology could enhance learning. mixed methods approach to be employed, making use of both quantitative and qualitative data. Two questionnaires, one for the educators and one for the principals of the schools were hand-delivered to 60 secondary schools. Exploratory factor analysis and various internal consistency measures were used to assess and analyse the data.Conclusion: Educationists and policy-makers must include all principals and educators when technological innovations are introduced into schools. All these role-players need to be cognisant of the implications if innovations are not appropriately implemented. Including the use of computers in educator training programs is important so that pre-service educators can see the benefits of using the computer in their own teaching. / South Africa

No description available.

No description available.

Orientador: Fernando Jose Von Zuben / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-17T09:17:50Z (GMT). No. of bitstreams: 1 Franca_FabricioOlivettide_D.pdf: 3983253 bytes, checksum: 6b0d30018574ad5a6e0cce05c34606b8 (MD5) Previous issue date: 2010 / Resumo: O processo de aquisição de dados está sujeito a muitas fontes de incerteza e inconsistência. Essas incertezas podem fazer com que os dados se tornem ruidosos ou impedir a aquisição dos mesmos, gerando o problema de dados faltantes. A maioria das ferramentas utilizadas para tratar tais problemas age de forma global em relação às informações da base de dados e ignora o efeito que o ruído pode ter na análise desses. Esta tese tem como objetivo explorar as propriedades do processo de biclusterização, que faz uma análise local dos dados, criando múltiplos modelos de imputação de dados que buscam minimizar o erro de predição dos valores faltantes na base de dados. Primeiramente, é proposto um novo algoritmo de biclusterização com um melhor desempenho que outras abordagens utilizadas atualmente, enfatizando a capacidade dos biclusters em gerar modelos com ruído reduzido. Em seguida, é proposta uma formulação de otimização quadrática para, utilizando os modelos locais gerados pelo bicluster, imputar os valores faltantes na base de dados. Os resultados obtidos indicam que a utilização da biclusterização ajuda a reduzir o erro de predição da imputação, além de fornecer condições favoráveis a uma análise a posteriori das informações contidas nos dados / Abstract: The data acquisition process is subject to many inconsistencies and uncertainties. These uncertainties may produce noisy data or even provoke the absence of some of them, thus leading to the missing data problem. Most procedures used to deal with such problem act in a global manner, relatively to the dataset, and ignore the noise e_ect on such analysis. The objective of this thesis is to explore the properties of the so called biclustering method, which performs a local data analysis, creating several imputation models for the dataset in order to minimize the prediction error estimating missing values of the dataset. First, it is proposed a new biclustering algorithm with a better performance than the one produced by other traditional approaches, with emphasis on the noise reduction capability of the models generated by the biclusters. Next, it is proposed the formulation of a quadratic optimization problem to impute the missing data by means of the local models engendered by a set of biclusters. The obtained results show that the use of biclustering helps to reduce the prediction error of data imputation, besides providing some interesting conditions for an a posteriori analysis of the dataset / Doutorado / Engenharia de Computação / Doutor em Engenharia Elétrica

Advances in Information and Communication Technologies (ICTs) have brought many opportunities to South Africa and also challenges, such as narrowing the gap, known as the digital divide, between those who have (the “haves”) and those who do not have (the “have-nots”) access to ICTs. The majority of South Africans living in developing areas throughout South Africa do not have access to computers and are mostly computer illiterate. The Council for Scientific and Industrial Research (CSIR) launched their Digital Doorway project across South Africa to evaluate the feasibility of an alternative computer training method following a minimally invasive educational approach. Within the scope of the CSIR’s project, this research study endeavoured to explore to what extent and how the children had obtained computer skills, without the guidance of a facilitator, during the Digital Doorway project launched in Atteridgeville, Pretoria. A qualitative research methodology was adopted for the study. During the course of this research project, it was not possible to determine whether the children obtained any initial or additional computer skills, since the children were mostly unable to use the computers due to the malfunctioning thereof. The findings of this study coincide with authoritative literature on the topic which points out that real ICT access entails more than merely installing hardware and software. / Dissertation (MEd (Computer Assisted Education))--University of Pretoria, 2007. / Curriculum Studies / unrestricted

Female baby boomer students (born 1946-1964) need to augment their skills in mobile collaborative learning because current knowledge of technologies is essential for making informed decisions. The purpose of this study was to determine the need to promote technologies based on the experiences of female baby boomer students. Andragogy and constructivism provided the conceptual framework for this research. The research questions were devised to investigate female boomer students' collaborative experiences using smart devices and barriers to their adoption of technology. This phenomenological study included 8 participants from a Canadian university recruited through purposeful sampling. Per the Modified Stevick-Colaizzi-Keen method, data were simultaneously collected via interviews, analyzed by coding, and organized into themes until saturation. Age was the main deterrent for technology adoption, and obstacles included embracing a new process, feeling that information was secure, and resolving technical difficulties. Results indicated that female baby boomer students were not ready to lead in the use of mobile collaborative learning and could not maintain rapid technological changes. Mature students may need training in cloud computing; a 1-semester blended course was proposed to enable these students to learn mobile technologies and collaborative skills. This study identifies the technology learning needs of baby boomer students, which will help those looking for ways to teach students in this age range. When leaders in their field of study know how to use current technologies, they will be more productive in their communities.

Document describes foundation and development of computer training center. It introduces the reader to the development process and the structure of business plan in the beginning. The process starts with SLEPTE analysis, customer research and simple financial analysis. The result of previous three analyses is SWOT analysis. SWOT analysis recommends author to continue in the business plan development. Therefore, documents describe more accurate and detailed analyses specialized to computer professional courses in the region of Brno and surrounding cities. Next, it describes company strategy according to the results of analyses. Marketing and financial parts of the strategy are the most stressed ones. The reader is very deeply familiarized with company product and their price policy. The last pages of document present steps required to successfully implement company strategy.

Effective and efficient training strategies are needed to provide training to novel therapists whom provide early intensive behavioral intervention (EIBI) services to young children with autism. We evaluated the effects of interactive computer-based training (ICT) on novice therapists' implementation of two, common EIBI instructional techniques: discrete-trial instruction (DTI) and naturalistic instruction. Results demonstrated that ICT improved trainees' instructional fidelity during role-plays with a confederate for DTI instruction and also with a child with autism for both DTI and naturalistic instruction. As a result, the requirement for supervisor feedback on performance was minimized. In addition, results suggest that child language improved as a result of improved therapist performance.