Keepin' It Real: Understanding Analytics in Classroom Practice.

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Title: Keepin' It Real: Understanding Analytics in Classroom Practice.
Authors: SHAPIRO, R. BENJAMIN1 ben@cs.tufts.edu, WARDRIP, PETER SAMUELSON2
Source: Technology, Instruction, Cognition & Learning. 2015, Vol. 10 Issue 2, p127-149. 23p.
Subject Terms: *Online reading programs, *Computer assisted instruction, *Online education, *Reading
Abstract: Increased attention to Data-Informed Instruction (DII) and learning analytics has not been accompanied by a commensurate base of theory or evidence showing how practitioners successfully enact DII, or illustrating what the difficulties and contextual particularities of doing so involve (Coburn & Turner, 2012: Little, 2012; Spillane, 2012). While it is theoretically clear how data should aid classroom teaching (e.g., by illustrating students' conceptualizations of different topics), very little research has investigated how teachers transform data into insight and then insight into pedagogical action. This paper presents a case study of how two teachers used an online reading analysis support tool to access data about students' reading homework and how those teachers used what they noticed about students' thinking through that data to enact DII. [ABSTRACT FROM AUTHOR]
Copyright of Technology, Instruction, Cognition & Learning is the property of Old City Publishing, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
An: 110435102
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PubType: Academic Journal
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  Data: Keepin' It Real: Understanding Analytics in Classroom Practice.
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  Data: <searchLink fieldCode="JN" term="%22Technology%2C+Instruction%2C+Cognition+%26+Learning%22">Technology, Instruction, Cognition & Learning</searchLink>. 2015, Vol. 10 Issue 2, p127-149. 23p.
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  Data: *<searchLink fieldCode="DE" term="%22Online+reading+programs%22">Online reading programs</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br />*<searchLink fieldCode="DE" term="%22Reading%22">Reading</searchLink>
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  Data: Increased attention to Data-Informed Instruction (DII) and learning analytics has not been accompanied by a commensurate base of theory or evidence showing how practitioners successfully enact DII, or illustrating what the difficulties and contextual particularities of doing so involve (Coburn & Turner, 2012: Little, 2012; Spillane, 2012). While it is theoretically clear how data should aid classroom teaching (e.g., by illustrating students' conceptualizations of different topics), very little research has investigated how teachers transform data into insight and then insight into pedagogical action. This paper presents a case study of how two teachers used an online reading analysis support tool to access data about students' reading homework and how those teachers used what they noticed about students' thinking through that data to enact DII. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Technology, Instruction, Cognition & Learning is the property of Old City Publishing, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 127
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      – SubjectFull: Online reading programs
        Type: general
      – SubjectFull: Computer assisted instruction
        Type: general
      – SubjectFull: Online education
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      – SubjectFull: Reading
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      – TitleFull: Keepin' It Real: Understanding Analytics in Classroom Practice.
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            NameFull: WARDRIP, PETER SAMUELSON
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              Text: 2015
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              Y: 2015
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