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Using Data for Instruction Quality
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Instruction
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Using Data for Instruction Quality
Linking instruction to student achievement is a process that relies on data to improve
education. Various researchers have looked into this challenge and provided means of addressing
it. One article by Klette et al. (2017) reports a larger study on the use of data sources to improve
instructional quality. This article describes the approach of the project in accessing and using
data on instructional quality to improve instruction and student achievement. The larger project,
Linking Instruction to Student Achievement (LISA), is a larger scope of integrating these sources
of data in improving instruction. The article identifies effective means of using data to improve
instructional quality and can be used by educators and administrators as a reference for the same.
The first interesting aspect of this scholarly article is the definition of instructional
quality. When defining quality, Klette et al. (2017) use clarity, cognitive activation, supportive
climate, and discourse features as the main characteristics of ‘quality.’ Instructions have to be
clear and non-ambiguous such that the target students understand what was meant to be
communicated by the instructor. Cognitive activation is the encouragement of students to engage
in higher-level thinking and hence promote the development of the knowledge base. Creating an
environment that builds rapport can significantly improve performance and the instruction
process. Also, discourse features refer to participation in subject-related discourse. These are the
major characteristics identified in this study. In addition, I would add that instructional quality
can be teaching for learner differences. Instruction has to engage with the learners’ capacity and
be adapted to accommodate significant learner differences.
Moreover, the value of video recordings has been recognized and these are especially
helpful for systematic classroom observations. Klette et al. (2017) identified that video
recordings “reveal classroom practices more clearly, facilitate discovery of new alternatives, and

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1 Using Data for Instruction Quality Name Instruction Course Professor Date 2 Using Data for Instruction Quality Linking instruction to student achievement is a process that relies on data to improve education. Various researchers have looked into this challenge and provided means of addressing it. One article by Klette et al. (2017) reports a larger study on the use of data sources to improve instructional quality. This article describes the approach of the project in accessing and using data on instructional quality to improve instruction and student achievement. The larger project, Linking Instruction to Student Achievement (LISA), is a larger scope of integrating these sources of data in improving instruction. The article identifies effective means of using data to improve instructional quality and can be used by educators and administrators as a reference for the same. The first interesting aspect of this scholarly article is the definition of instructional quality. When defining quality, Klette et al. (2017) use clarity, cognitive activation, supportive climate, and discourse features as the main characteristics of ‘quality.’ Instructions have to be clear and non-ambi ...
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