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Promoting affordable learning and building community with Alma and Leganto

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Promoting affordable learning with Core textbook reserves

Goal for Alma: provide cost per use of print textbooks placed on reserve

  • Library bought textbooks for 46 Core courses
  • $2400 total; avg $59 per textbook
  • 3-hour reserves

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Promoting affordable learning with Core textbook reserves

Alma Course Reserves

Four parts to put an item on reserve:

Part 1: Adding the course

Part 2: Adding reading lists to the course

Part 3: Adding citations (reserve items) to the reading lists

Part 4: Set the reading list to "Complete" to make it visible to patrons in Primo VE

Note: Course information is loaded from our course management system (Banner) every semester. Reading lists are matched to loaded courses.

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Promoting affordable learning with Core textbook reserves

Adding metadata to textbook records

Bibliographic record

  • Tag added to 590 field: UALR Core Textbook
  • Tag added to 590 field: UALR Faculty Course Reserve

Item record - for volumes at the reserves shelf

  • Tag added to Internal note 1: UALR Core Textbook
  • Tag added to Internal note 2: UALR Faculty Course Reserve

Purchase Order line

  • Manually create a purchase order line

Reading list

  • Add textbook citation to course reading list

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Promoting affordable learning with Core textbook reserves

Creating cost per use analytics for Core textbooks

Bibliographic Details (Title) (LOC Class)

  • Filter for Item Internal Note 1 = UALR Core Textbook

Physical Item Details (Num of Loans)

Fund Transactions (PO Line Total Price)

PO Line (PO Creation Date)

Fund Transactions (PO Line Total Price)

  • Edit Formula "Fund Transactions"."PO Line Total Price" / "Physical Items"."Physical Item Details"."Time Loaned"

Note: Search Analytics Community Reports in Shared Folders to find and to repurpose “Cost per use - print.”

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Promoting affordable learning with Core textbook reserves

To edit/create a formula in Alma analytics

Example of cost per use query results

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Building community with Leganto social annotations

Goal for Leganto: Investigate the use of social annotation and social presence using Social Reading and analytics.

  • Research team requested to opt into the Student Success Measurements Service to track individual student information.
  • Social Reading is different from Read and Respond.
  • The study will include results from classes using Hypothes.is

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Building community with Leganto social annotations

Creating analytics for Social Reading annotations

  • Courses (Course Name, Course Instructor)
  • Student Details (First Name, Last Name, Student ID)
  • Student Usage (Number of Citation Views, Added Public/Private Annotations, Number of Likes)

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Building community with Leganto social annotations

Example of Leganto Social Reading report

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Building community with Leganto social annotations

Beyond Leganto analytics

  • Evidence of community building
    • Frequency of interaction in replies to annotations
  • Evidence of social presence
    • Text analysis of annotations with R.Studio
      • Text classification
      • Topic modeling
      • Sentiment analysis

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Contact

Louise Lowe, Student Success Coordinator

lllowe@ualr.edu

Chris Stewart, Discovery and Metadata Coordinator

cstewart@ualr.edu