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Information on IES-Funded Research
Grant Closed

Computer-Based Guided Retrieval Practice for Elementary School Children

NCER
Program: Education Research Grants
Program topic(s): Cognition and Student Learning
Award amount: $1,499,697
Principal investigator: Jeffrey Karpicke
Awardee:
Purdue University
Year: 2015
Award period: 3 years 11 months (07/01/2015 - 06/30/2019)
Project type:
Development and Innovation
Award number: R305A150546

Purpose

The objective of this research project is to develop and pilot test the Guided Retrieval Practice program, a computer-based program for elementary school students that will provide a sequence of encoding activities (e.g., identifying key terms) and retrieval practice activities (e.g., fill-in-the-blank) to promote high levels of retrieval success. Many students study using passive techniques, such as rereading their notes and textbooks, rather than those that require active retrieval of information, such as answering open-ended study questions at the end of chapter. Based on prior research from a previously funded IES project (Retrieval-Oriented Learning Strategies), the research team has shown that retrieval practice can be an effective learning strategy for elementary school students; however, it is difficult for these students to accomplish successful retrieval practice without appropriate guidance, support, and scaffolding. The prediction that will be tested in the pilot study is that by providing an intervention that guides active knowledge retrieval, elementary school students will develop the enriched mental models they need to retain knowledge over the long-term, make inferences, and solve novel problems.

Project Activities

During Years 1 and 2, the Guided Retrieval Practice program will be developed through an iterative sequence of controlled experiments that will identify the most effective ways to design and implement the activities. Focus groups of teachers and students will be used to gather feedback about the activities. Concurrently, the Bound Encoding of the Aggregate Language Environment (BEAGLE) Guide automated scoring system will be developed. In Year 3, a pilot study will be conducted using elementary school science topics to test the prediction that the intervention will improve students' learning as well as to assess feasibility and fidelity of implementation.

Structured Abstract

Setting

Participating elementary schools will be located in urban areas in Indiana.

Sample

Approximately 720 4th and 5th grade students (about 80 per experiment) will participate in the project over the course of three years. Students will come from a wide range of socioeconomic backgrounds. In addition, approximately eight teachers and multiple small groups of students from the sample (groups of four to six) will be asked to participate in focus groups during the iterative development process in Years 1 and 2.

Intervention

The Guided Retrieval Practice program will include a sequence of encoding activities (e.g., identifying key terms, answering embedded questions, and sorting concepts) and retrieval practice activities (e.g., fill-in-the-blank, cued recall, free recall) that build up to free recall by gradually fading the support during retrieval activities to promote high levels of retrieval success. Student performance will be assessed in real-time through an automated scoring system, the BEAGLE Guide, which will be capable of scoring students' short-answer, cued recall, and free recall responses. It will also include mechanisms for automatically identifying key terms and automatically generating potential retrieval practice questions from educational texts. The intervention will be pilot tested with science topics; however, it is intended for use across a variety of academic content areas.

Research design and methods

During Years 1 and 2, the Guided Retrieval Practice program will be developed through an iterative sequence of eight controlled experiments that will identify the most effective ways to design and implement the encoding and retrieval activities. Experiments will be carried out over a total of eight sessions. Experimental manipulations will be within-subjects; each student will complete one program condition with one science topic over the first four sessions and the second condition with another science topic over the second four sessions. The order of conditions and the order of topics to be learned will be fully counterbalanced across students, with students randomly assigned to counterbalancing orders. In the program, students will read educational texts on science topics and complete a series of activities where they work with the material (encoding activities) and practice actively recalling it in a variety of ways (retrieval activities). Students will complete pre-tests, assessments during the activities within the program, and delayed short-answer assessments. Students will also be asked to provide ratings at the end of each learning session on topics such as their interest, engagement, and the ease of use of the system. Concurrently, the BEAGLE Guide automated scoring system will be developed. Focus groups of teachers and students will be used to gather feedback about the activities and the BEAGLE Guide as they are developed. In Year 3, a pilot study will be conducted using elementary school science topics to test the prediction that the fully developed intervention will improve students' learning as well as to assess feasibility and fidelity of implementation. The pilot study will follow the same experimental design and procedure as the other experiments.

Control condition

For the design experiments, there is no formal control condition. Instead, conditions will vary as a function of the research question. For the pilot study, the control condition will be an "encoding only" version of the program, where encoding activities (e.g., identifying key terms, answering embedded questions, and sorting concepts) are repeated in place of the retrieval practice activities that will be given in the intervention condition.

Key measures

Primary measures include student performance on component activities within the program and on researcher-developed, short-answer assessments, which will include verbatim, inference, and application questions about the science topics learned. Feasibility will be assessed by asking teachers about the intervention's use in their classrooms. Usability and fidelity will be assessed using data generated by the program, and through analysis of teacher logs on how they implemented the program.

Data analytic strategy

The research team will use multilevel models to analyze the data from each experiment, with conditions nested within students nested within classrooms. They will examine effect sizes for differences between conditions in each experiment and to indicate the direction and magnitude of the differences.

People and institutions involved

IES program contact(s)

Erin Higgins

Education Research Analyst
NCER

Project contributors

Michael Jones

Co-principal investigator
Indiana University

Products and publications

The products of this project include a fully developed Guided Retrieval Practice program for elementary school students and peer-reviewed publications.

Publications:

Ariel, R. and Karpicke, J.D. (2018). Improving Self-Regulated Learning With a Retrieval Practice Intervention. Journal of Experimental Psychology: Applied, 24(1), 43-56.

Ariel, R., Karpicke, J. D., Witherby, A. E., & Tauber, S. K. (2021). Do judgments of learning directly enhance learning of educational materials?. Educational Psychology Review, 33(2), 693-712.

Johns, B. T., Dye, M., & Jones, M. N. (2016). The influence of contextual diversity on word learning. Psychonomic Bulletin & Review, 23, 1214-1220.

Jones, M. N. (2016). Developing cognitive theory by mining large-scale naturalistic data. In Big data in cognitive science (pp. 10-21). Psychology Press.

Jones, M. N. (2019). When does abstraction occur in semantic memory: Insights from distributional models. Language, Cognition and Neuroscience, 34(10), 1338-1346.

Jones, M.N., Gruenenfelder, T.M., and Recchia, G. (2018). In defense of spatial models of semantic representation. New Ideas in Psychology, 50, 54-60.

O'Day, G. M., & Karpicke, J. D. (2021). Comparing and combining retrieval practice and concept mapping. Journal of Educational Psychology, 113(5), 986.

Whiffen, J.W. and Karpicke, J.D. (2017). The role of episodic context in retrieval practice effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43, 1036-1046.

Related projects

Retrieval-Oriented Learning Strategies

R305A110903

Questions about this project?

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

 

Tags

CognitionEducation TechnologyK-12 EducationScienceStudents

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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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