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Information on IES-Funded Research
Grant Open

A Multipronged Approach to Small-Teaching Interventions for Reducing Academic Procrastination: A Randomized Control Study via Terracotta

NCER
Program: Research Networks Focused on Critical Problems of Education Policy and Practice
Program topic(s): Digital Learning Platforms to Enable Efficient Education Research Network
Award amount: $1,000,000
Principal investigator: Akira Miyake
Awardee:
University of Colorado, Boulder
Year: 2024
Award period: 1 year 11 months (09/01/2024 - 08/31/2026)
Project type:
Development and Innovation
Award number: R305N240063

Purpose

Through this project, the research team will develop and test interventions for postsecondary academic procrastination. These interventions will focus on equipping students to circumvent two predicted causes of procrastination: (1) experiencing negative mood caused by aversion toward an academic task and (2) choosing an immediately pleasurable activity over the academic task. Academic procrastination is prevalent and associated with worse academic performance and higher psychological distress; however, no well-validated interventions for academic procrastination exist, especially those that can easily be implemented in classrooms. The research team will work with the Terracotta platform team to implement and test their intervention within the Canvas learning management system (LMS).

Project Activities

First, the research team will work with the Terracotta platform team to put videos, assignments, infographic summaries about procrastination on Canvas and will conduct a small pilot study. Based on instructor and student feedback, the team will refine and add to the existing intervention materials. Next, they will test the efficacy of the intervention by conducting a rigorous randomized controlled trial (RCT) using Terracotta and the Canvas LMS.

Structured Abstract

Setting

This study will take place at seven urban and suburban universities in Colorado, North Carolina, Michigan, New Mexico, and California.

Sample

The research team will recruit a diverse sample of approximately 10,000 undergraduate students enrolled in large lecture-based psychology, biology, and chemistry classes to participate in this study.

Intervention

The intervention is a set of materials designed to teach students strategies for circumventing two predicted causes of procrastination: (1) experiencing negative mood caused by aversion toward an academic task and (2) choosing an immediately pleasurable activity over the academic task. The intervention includes videos, assignments, infographic summaries about procrastination.

Research design and methods

First, the research team will work with the Terracotta platform team to implement videos, assignments, infographic summaries about procrastination within Canvas with a small group of students. Next, they will refine intervention materials based on feedback obtained in the initial pilot test. Finally, the team will test the interventions in a randomized control trial (RCT) with four conditions: materials focused on addressing negative mood only, (b) materials focused on goal management only, (c) materials focused on addressing both negative mood and goal management, or (d) active control. Students will be randomly assigned to one of the four conditions and will then complete their intervention (or active control) assignments on Canvas.

Control condition

The active control condition is designed to be useful and engaging but focused on effective note taking and comprehension techniques for reading academic texts, which are academic skills that do not have direct relevance to the hypothesized causes of procrastination.

Key measures

The research team will measure class assignment submission times (an objective measure of procrastination, tracked by Terracotta) and grades and measures of wellbeing (depression, anxiety, and perceived stress). The team will also gather information about (a) mental health and stress, (b) impulsive/ADHD tendencies, (c) time management skills, and (d) self-efficacy and task value for the course content.

Data analytic strategy

The researchers will analyze the data using multilevel models with students nested in classrooms. Primary analyses will use an intent-to-treat design. Exploratory analyses will use multilevel regression to identify types of students who engage in academic procrastination behaviors and then to examine how much those students benefit from the intervention.

People and institutions involved

IES program contact(s)

Erin Higgins

Education Research Analyst
NCER

Project contributors

Matthew Bernacki

Co-principal investigator

Products and publications

This project will result in preliminary evidence of the effects of interventions for academic procrastination on student education outcomes. The project will also result in a final dataset to be shared, peer-reviewed publications and presentations, and additional dissemination products that reach education stakeholders such as practitioners and policymakers.

Publications:

ERIC Citations: Find available citations in ERIC for this award here.

Additional project information

This project is part of the Digital Learning Platforms to Enable Efficient Education Research Network (Digital Learning Platforms Network), which aims to leverage existing, widely used digital learning platforms for rigorous education research.

Supplemental information

Co-Principal Investigators: Bernacki, Matthew; Kane, Michael; Snyder, Hannah

Questions about this project?

To answer additional questions about this project or provide feedback, please contact the program officer.

 

Tags

CognitionEducation TechnologyPostsecondary Education

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Questions about this project?

To answer additional questions about this project or provide feedback, please contact the program officer.

 

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