Conhecimento pedagógico do conteúdo no contexto do ensino por investigação: um estudo com licenciandos em química

Conjecturas ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 266-286
Author(s):  
Jean Michel dos Santos Menezes ◽  
Sidilene Aquino de Farias

O Ensino por Investigação (EI) tem sido amplamente recomendado no contexto educacional, uma vez que inclui a aprendizagem de conceitos e habilidades científicas, favorecendo o papel ativo do aluno. Assim, é importante preparar os professores para realizarem atividades pautadas no EI durante a sua formação, desenvolvendo conhecimentos necessários para a prática docente, como o Conhecimento Pedagógico do Conteúdo (CPC). Com isso, objetivou-se analisar as percepções e produções didáticas de caráter investigativo de licenciandos em Química das Instituições de Ensino Superior públicas de Manaus/AM à luz do CPC. A coleta de dados se deu durante uma oficina, na qual 11 licenciandos participaram de uma entrevista e responderam ao questionário Content Representation (CoRe) após a elaboração da atividade investigativa, sendo os dados analisados por meio da técnica da Análise Textual Discursiva. As atividades propostas pelos participantes apresentaram elementos do EI, como a situação-problema, porém houve pouca inferência ao envolvimento dos alunos na definição de hipótese e na aplicação dos conhecimentos em novas situações. Identificou-se expressivamente o desenvolvimento dos conhecimentos do conteúdo específico, do contexto educacional, dos alunos e de suas características, dos fins educacionais, e aspectos do CPC, reconhecendo a importância das atividades investigativas nas aulas de Química e seu papel de orientador durante a sua realização.

2001 ◽  
Vol 01 (03) ◽  
pp. 507-526 ◽  
Author(s):  
TONG LIN ◽  
HONG-JIANG ZHANG ◽  
QING-YUN SHI

In this paper, we present a novel scheme on video content representation by exploring the spatio-temporal information. A pseudo-object-based shot representation containing more semantics is proposed to measure shot similarity and force competition approach is proposed to group shots into scene based on content coherences between shots. Two content descriptors, color objects: Dominant Color Histograms (DCH) and Spatial Structure Histograms (SSH), are introduced. To represent temporal content variations, a shot can be segmented into several subshots that are of coherent content, and shot similarity measure is formulated as subshot similarity measure that serves to shot retrieval. With this shot representation, scene structure can be extracted by analyzing the splitting and merging force competitions at each shot boundary. Experimental results on real-world sports video prove that our proposed approach for video shot retrievals achieve the best performance on the average recall (AR) and average normalized modified retrieval rank (ANMRR), and Experiment on MPEG-7 test videos achieves promising results by the proposed scene extraction algorithm.


2000 ◽  
Vol 80 (6) ◽  
pp. 1049-1067 ◽  
Author(s):  
Anastasios D. Doulamis ◽  
Nikolaos D. Doulamis ◽  
Stefanos D. Kollias

Author(s):  
Amir Mashhadi ◽  
Saeed Khazaie

This chapter endeavored to devise a motivating way to engage learners in L2 English learning tasks presented through the mobile game (m-game). It started on the issue of whether types of a displayed picture on m-games had any significant relationship with learners' performance in the blended mode of L2 learning. To that end, a cellphone-based form of the nonEnglish game of 'Xane Bazi', modified as didactic 'Xane Bazi' for English vocabulary learning, was grafted onto the face-to-face mode of content representation in the blended language learning module. 100 Iranian boys and girls within the age range of 10-13 were divided into two groups to learn English vocabulary items during 12 sessions of an academic semester: One group played a version of 'Xane Bazi' with learner-made paintings and the other group played a version of the game filled with photos. The results hinted at the desired effect of utilizing m-games as applying learner-made painting condition to didactic 'Xane Bazi' was proved to significantly ratchet up the participants' L2 learning.


2020 ◽  
pp. 147387162096663
Author(s):  
Úrsula Torres Parejo ◽  
Jesús R Campaña ◽  
M Amparo Vila ◽  
Miguel Delgado

Tag clouds are tools that have been widely used on the Internet since their conception. The main applications of these textual visualizations are information retrieval, content representation and browsing of the original text from which the tags are generated. Despite the extensive use of tag clouds, their enormous popularity and the amount of research related to different aspects of them, few studies have summarized their most important features when they work as tools for information retrieval and content representation. In this paper we present a summary of the main characteristics of tag clouds found in the literature, such as their different functions, designs and negative aspects. We also present a summary of the most popular metrics used to capture the structural properties of a tag cloud generated from the query results, as well as other measures for evaluating the goodness of the tag cloud when it works as a tool for content representation. The different methods for tagging and the semantic association processes in tag clouds are also considered. Finally we give a list of alternative for visual interfaces, which makes this study a useful first help for researchers who want to study the content representation and information retrieval interfaces in greater depth.


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