Download presentation
Presentation is loading. Please wait.
Published byValentine Johns Modified over 8 years ago
1
Using Analytics to Tell Our Story Andrea Kincaid and Jacob Ellis Reference & Instruction Librarians Rowan-Cabarrus Community College Metrolina Library Association CPCC Harris Campus | June 9, 2016
2
Session Agenda Assessment – Faculty surveys – Student surveys Statistics – Foot Traffic – Reference – Instruction Discussion
3
Assessment Andrea Kincaid
4
Why Assess? “ Evaluation and assessment of an instruction program are systematic ongoing processes that inform and guide Library strategic direction.” ACRL’s Guidelines for Instruction Programs in Academic Libraries
5
Assessment: Two Points of View Faculty Surveys Focus on the Librarian – Teaching style – Librarian’s familiarity with material – Librarian’s proficiency Post-test only Student Surveys Bloom’s Taxonomy of Learning – Knowledge – Skills – Attitudes Pre-test & post-test format
7
Faculty Survey: Individual Comparison Aggregate DataAndrea’s Data
9
Pre-Instruction Surveys
11
What Do You Want to Learn?
12
Comparing Pre-Test and Post-Test Pre-InstructionPost-Instruction
13
Comparing Pre-Test and Post-Test Pre-InstructionPost-Instruction
14
Comparing Pre-Test and Post-Test Pre-InstructionPost-Instruction
15
Comparing Pre-Test and Post-Test Pre-InstructionPost-Instruction
16
Comparing Pre-Test and Post-Test Pre-InstructionPost-Instruction
17
Instruction Librarian Goals In order of priority: Boolean operators Evaluating sources Library catalog, not journals After-hours help
18
Post-Instruction Surveys: Individual Comparison Aggregate DataAndrea’s Data
19
Post-Instruction Surveys: Individual Comparison Aggregate DataAndrea’s Data
20
Post-Instruction Surveys: Individual Comparison Aggregate DataAndrea’s Data
21
Post-Instruction Surveys: Individual Comparison Aggregate DataAndrea’s Data
22
Post-Instruction Surveys: Individual Comparison Aggregate DataAndrea’s Data
23
Post-Instruction Surveys: Individual Comparison Aggregate DataAndrea’s Data
24
Post-Instruction Surveys: Individual Comparison Aggregate DataAndrea’s Data
25
Goals Comparison Andrea’s Goals In order of priority: Boolean operators Evaluating sources Library catalog, not journals After-hours help Instruction Librarian Goals In order of priority: Boolean operators Evaluating sources Library catalog, not journals After-hours help EVERYONE: Completion rates!
26
Library Statistics Jacob Ellis
27
RCCC LRC Statistics Background Start of Data Collection- July 2015 Early data collection relied on door counts, other static methods Data was spread out across different platforms, decentralized Later data collection utilized Google Forms, more centralized August 2015- Present Forms created in LibInsight Data entered goes directly into LibInsight Data can be manipulated, sets customized Data is exported and centralized on dedicated LibGuide
28
Gathering Statistics- Parameters Foot Traffic Walk through conducted hourly by Circulation staff Links to forms are saved on iPad Reference Data is entered as soon as reference transaction is completed Instruction Data is entered as soon as instruction session has concluded
29
RCCC LRC North Campus- Floorplan
30
Foot Traffic Form (Green Area)
31
Reference Form (Red Area)
32
Instruction Form (Blue Area)
33
RCCC LRC Statistics LibGuide Data is analyzed monthly and added to dedicated Statistics LibGuide Data is viewed by Director, Coordinators as needed; SACS, qualitatively demonstrate LRC abilities and services at college level, space management, resource allocation, staff scheduling, operating hours Look at current and historical data we’ve gathered: http://libguides.rccc.edu/lrcstats
34
Discussion Andrea Kincaid: andrea.kincaid@rccc.edu Jake Ellis: jmellis@waketech.edu
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.