The Use of Different Translation Devices to Analyze Knowledge-Building in a University Chemistry Classroom

Barreto, Lucas Passos; Rodrigues, Adriana Araújo Dutra; Oliveira, Giordanna Camilla Bié de; Almeida, Laila Thayanne Gomes de; Felix, Matheus Augusto Campelo; Silva, Penha de Souza; Quadros, Ana Luiza de; Macedo, Andréa Mara; Mortimer, Eduardo Fleury

doi:10.1007/s11165-020-09969-z

Cited by 10 publications

(1 citation statement)

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“…Step 2: determine the judgment matrix. In the piano informatization classroom teaching evaluation index, select two index factors at the same level, compare them with the ninth percentile scale method, and analyze the importance of each index factor [23]. For index factor j, the importance of factor i to it can be reflected by the value of a ij .…”

Section: Weight Determination Of Classroom Teaching Quality Evaluatio...mentioning

confidence: 99%

Piano Information Teaching Mode Based on Deep Learning Algorithm

Wang

2022

Wireless Communications and Mobile Computing

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In order to improve the effect of piano information teaching, a piano information teaching mode based on deep learning algorithm is proposed. The teaching objectives are divided into three levels: classroom teaching objectives, curriculum objectives, and education and training objectives. A piano information classroom integrating cloud application platform, teaching platform, resource platform, learning space, and interactive classroom is built. The previous teaching mode is optimized to build an innovative teaching mode of piano information classroom. The evaluation index system of piano informatization classroom teaching quality is constructed, and the hierarchical structure model of each evaluation index is established by using the analytic hierarchy process. The hierarchical analysis method is used to establish a hierarchical structure model of each evaluation index. The judgment matrix is determined by the nine-digit scale method. After the consistency verification of the judgment matrix, the weight of the quality evaluation of piano information classroom teaching is calculated. The new mode optimizes the weight and threshold of BP neural network in deep learning algorithm by genetic algorithm (GA). The weight of each classroom teaching quality evaluation index is input into the GA-BP neural network, and the network output result is the piano information classroom teaching quality evaluation score. The test results show that the optimal number of hidden layer nodes for the BP neural network is 7, when the GA-BP neural network iterations are 95. This method can evaluate the quality of piano information classroom teaching, with high evaluation accuracy and strong practical application.

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Section: Weight Determination Of Classroom Teaching Quality Evaluatio...mentioning

confidence: 99%

Piano Information Teaching Mode Based on Deep Learning Algorithm

Wang

2022

Wireless Communications and Mobile Computing

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Theory, Methods, and Expressive Potential of Discourse Studies in Science Education

Kelly

2021

Res Sci Educ

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The articles comprising this special issue provide insights into the current state of discourse studies in science education and into the emerging theoretical, methodological, and educational challenges facing the field. Over the past three decades, numerous studies of classroom life have identified the ways that discourse processes construct events, meaning, and educational opportunities in science settings. Previous research has identified ways that the discourse of science can be differentially positioned to alienate or include students' ways of knowing and understanding in educational settings. Looking across the eleven articles in this special issue, a number of questions surface; one primary question asks: What does this collection contribute as a whole in terms of theories of discourse, research methodologies, and educational implications that is more compelling than the specific results of the individual studies? I shall answer this by looking at the theoretical and methodological commitments of the studies. In doing so, I identify ways that this special issue as a whole advances the field of discourse studies in science education.The eleven articles spanning nations, student grade levels, and interactional contexts frame a set of topics providing insights into theory-methods relationships of discourse studies in education. We can interpret the various definitions of discourse as embedding theoretical assumptions about interactions that lead to methodological choices. Building on work in educational ethnography, sociolinguistics, and micro-analytic discourse analysis, the collection generally builds from a set of premises about how to interpret discourse in these science education contexts.First, consistent with a sociolinguistic view of interaction, discourse is interpreted as situated in ongoing sociocultural practices with histories, discourses, intertextual references, social relationships, positions, and obligations of members of the relevant social group (Kelly, 2014). Thus, although discourse is central to communication, and comprised of language-inuse, it is not limited to structural aspects of language. In these studies, multimodal dimensions of communication are visible in the interactions of participants, texts, and technologies, where the ideational, relational, and ideological messages co-occur. In this way, discourse constitutes being in the world that integrates meaning, values, and identities (Gee, 2014).

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