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CRI Deliverable Video

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Mastering Psychology’s �Methodology Sequence

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Project Team Members

Dr. Alisha Janowsky, Psychology, College of Sciences

Dr. Martha Hubertz, Psychology, College of Sciences

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Goals for the Redesign

  • The undergraduate curriculum in the Psychology department has PR requirements for its methodology courses

  • Problem: Recall
    • Students can take the course one semester after the other or there may be many semesters in between

Statistical Methods in Psychology (PSY 3204C)

Research Methods in Psychology (PSY 3213C)

Adv. Research Methods in Psychology (PSY 4215C); elective

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Goals for the Redesign

Proposed Solution:

  • Just-in-Time Review Modules

  • The aim of this CRI was to create a series of content review modules to help students succeed in the sequence

Module Criteria:

Basic content

Available in Commons

Standalone format

Be sustainable

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Project Description

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Project Overview

  • Identify core concepts from methodology courses students need for success in future courses
  • Design modules to capture these concepts
  • Design modules to fit seamlessly into other courses outside of the methodology sequence

Statistical Methods in Psychology (SPSS)

Data entry

Descriptive statistics

Correlation

Chi square

One-sample t-tests

Paired-sample t-tests

Independent-sample t-tests

ANOVA

Research Methods in Psychology

Scientific method

Research paradigms

Literature reviews

Research ethics

Reliability and validity

Data analysis

APA style

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Statistics/SPSS�Review Module

Psychology’s �Methodology Sequence

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Course Breakdown

Alisha Janowsky, Ph.D.

PSY 3204C, Statistical Methods in Psychology

Face-to-Face, Online, Mixed-Mode

Materia: Choose Your Own Adventure Widget, Active Learning, eTextbook

Affordability Counts Badge

High Quality designation earned

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Project Highlights

This is a snapshot of the module menu. 

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Project Highlights

These are screenshots of the introduction page

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Project Highlights

At the bottom of the introduction page are accordion folders with options for faculty who wish to embed some, or all, of the modules in their courses

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Project Highlights

Each of the 9 additional content pages is outlined the same way:

  • Learning objectives
  • Suggested use
  • Access information for the module, and;
  • the module itself.

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Project Highlights

  • All modules are organized the same way:
  • Learning objectives
  • Introduction to the statistic.
  • Introduction to the data set.
  • Video walking through of the use of SPSS.
  • Interpretation of output.

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Supporting Details

Entry page

Learning objectives

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Supporting Details

Video tutorial (~10 minutes long)

Follow up assessment

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Supporting Details

Video tutorial (~10 minutes long)

Follow up assessment (4 items)

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Psychology’s �Methodology Sequence��Research Methods �Review Module

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Course Breakdown

Martha Hubertz, Ph.D.

PSY 3213C, Research Methods in Psychology

Online

Active Learning

Adaptive eTextbook - Participates in First Day

Affordability Counts Badge

Materia: Last Chance  Cadet, Matching, Guess the Phrase, and CrossWord Widgets 

Obojobo: Multiple APA and Library Widgets  

Polls

Going through Quality Review this Summer. 

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Project Highlights

Screenshots of the Instructor introduction page

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Project Highlights

Screenshots of the Student Facing introduction page

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Project Highlights

Snapshots of the module menu. 

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Project Highlights

The 14 content pages are outlined the same way:

  • Information on the topic. 
  • Why the topic is important.
  • Related videos / resources for students.
  • Various Knowledge checks 

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Supporting Details

Examples of some of the Materia widgets

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Project �Status 

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Project Status

Completed:

  • Faculty facing introduction for use of each module
  • Canvas module pages for each main topic identified.
  • 9 original SPSS review Materia widgets which include video instruction and practice
  • 8 original Materia widgets for research methods review 
  • Resources and links for students 

To Do:

  • Graphics
  • Connective visual/layout across modules
  • Pilot and generate feedback
  • Incorporate feedback
  • If successful, create additional statistics modules on repeated measures ANOVAs, two-way ANOVAs, reading figures and tables.

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Thank you to everyone

at iLab and CDL for your

support and expertise!