"ERIC ED609150: How You Say It Matters: Communicating Predictive Analytics Findings To Students" - Information and Links:

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"ERIC ED609150: How You Say It Matters: Communicating Predictive Analytics Findings To Students" and the language of the book is English.


“ERIC ED609150: How You Say It Matters: Communicating Predictive Analytics Findings To Students” Metadata:

  • Title: ➤  ERIC ED609150: How You Say It Matters: Communicating Predictive Analytics Findings To Students
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  • Language: English

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  • Internet Archive ID: ERIC_ED609150

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"ERIC ED609150: How You Say It Matters: Communicating Predictive Analytics Findings To Students" Description:

The Internet Archive:

Predictive analytics has taken higher education by storm, with its promise of closing equity gaps, raising student retention rates, and increasing tuition revenue by keeping students enrolled. Many colleges and universities have made an investment in predictive analytics for student success initiatives, and even more are looking into implementing, expanding, and strengthening the technology. However, getting advisers and other end users to communicate the predictive system findings to students is a vital step in successfully using predictive analytics and doing so equitably is of utmost importance. This report offers research-based guidelines to colleges for engaging in effective, ethical, and equitable communication about predictive analytic system findings to students. It covers how to approach the first engagement with students: how an early alert end user, such as a counselor or adviser, can tell students that a problem has been identified, connect them with resources, and create the behavior change needed for success. It is also a guide for institutional leadership to consider when working with students, faculty, and staff to implement predictive analytics at their institution.

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"ERIC ED609150: How You Say It Matters: Communicating Predictive Analytics Findings To Students" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 18.91 Mbs, and the file-s went public at Fri Jul 15 2022.

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  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
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  • Number of Files: 15
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