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Information on IES-Funded Research
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Project LINK: Learning to Generate Inferences and Building Knowledge Using an Online Platform

NCER
Program: Education Research Grants
Program topic(s): Literacy
Award amount: $1,999,999
Principal investigator: Colby Hall
Awardee:
University of Virginia
Year: 2024
Award period: 4 years (07/01/2024 - 06/30/2028)
Project type:
Development and Innovation
Award number: R305A240175

Purpose

In this project, the researchers aim to develop and pilot test a scalable, theoretically and empirically supported knowledge-building and inference instruction intervention (Learning to Generate Inferences and Building Knowledge [LINK]) to improve reading comprehension for all students in grades 6 and 7. An early version of LINK demonstrated promise in accelerating reading comprehension for students with reading difficulties (RD) in a sample with a high proportion of multilingual students who were developing academic English proficiency. This project focuses on the effects of LINK instruction on reading outcomes for students with RD and asks additional research questions about intervention effects for the subsample of students with RD who are English learners (ELs). Only 36 percent of all grade 8 students and only about 5 percent of ELs in grade 8 score at or above proficiency in reading (National Assessment of Educational Progress, 2017). Inadequate reading skills put students at risk for academic failure and negatively impact both career opportunities and earning power. Inference generation has a large direct effect on adolescents' reading comprehension, and difficulties with text integration are reliably associated with low levels of reading comprehension for this age group. There are few rigorously tested approaches to inference instruction for middle-grade students with RD. The proposed intervention leverages knowledge- and language-building comprehension supports on the online Actively Learn® platform, a McGraw Hill digital reading platform designed to facilitate reading for depth in grades 3 through 12.

Project Activities

The researchers will first transfer paper materials to the online Actively Learn® platform, field test, and revise existing paper-and-pencil lessons They will also develop, field test, and revise an additional set of lessons focused on inference generation in a knowledge-building sequence of expository texts. Finally, they will pilot the fully developed LINK intervention using a randomized experimental design.

Structured Abstract

Setting

This research will take place in two urban, public school districts in Virginia.

Sample

The researchers will recruit 360 students in grades 6 and 7 and their 36 English teachers to participate in this project. Forty students and four teachers will participate during each of the 2 field-testing years. There will be 280 students and 28 teachers participating during the pilot study year.

Intervention

During LINK instruction, students read engaging, culturally relevant narrative and expository digital texts and respond to text-connecting and gap-filling inference prompts embedded in texts on the Actively Learn® online platform. Students will connect pronouns with referents, infer word meanings based on context clues, and integrate knowledge with information in text to generate causal, gap filling inferences. The Actively Learn® platform leverages technology-enabled language and knowledge-building comprehension supports to scaffold learning. The intervention will also build student knowledge by carefully sequencing narrative and expository texts on overlapping topics. It will engage students in small-group, face-to-face discussions about inferences during reading and support teachers in providing explicit instruction via frequent task-level feedback.

Research design and methods

The first phase of the project focuses on transferring the existing LINK lessons to the online platform, adapting existing lesson protocols and scripts, developing a LINK professional development (PD) module to accompany the Actively Learn® PD, selecting and sequencing additional expository texts, developing prompts and protocols for this content, and revising lessons in response to consultant feedback. During phase 2, the researchers will field test the complete intervention using a single-group, pretest-posttest design. After field-testing, the researchers will make data-based revisions informed by teacher focus group feedback, teacher logs, implementation fidelity observations, and student accuracy, quality, and length of oral and written responding on the Actively Learn® platform. In the last phase of the project, the researchers will randomly assign teacher participants and the participating students in teachers' randomly selected classrooms to LINK instruction or business-as-usual (BAU) instruction to evaluate the degree to which LINK instruction demonstrates evidence of usability, feasibility, and promise in improving students' inference generation, reading motivation, word reading fluency, and reading comprehension. The researchers will ask exploratory questions about potential moderators and mediators of intervention effects.

Control condition

In the randomized pilot study, students in the comparison condition will receive the BAU English language arts instruction delivered at their school.

Key measures

In addition to the instruments that will be used to assess intervention feasibility and usability (e.g., teacher focus group feedback, teacher logs, implementation fidelity observations), researchers will administer (a) LINK curriculum-based measures of student knowledge and accuracy, quality, and length of inference generation; (b) the Connect-IT Inferential Reading Comprehension Assessment; (c) the explicit and implicit comprehension questions and the pre-reading concept questions on the Qualitative Reading Inventory-6; (d) the Motivations for Reading Questionnaire; and (e) the Test of Word Reading Efficiency-2. During the randomized pilot study, the researchers will also administer the Gates-MacGinitie Reading Tests-Reading Comprehension subtest.

Data analytic strategy

When analyzing qualitative data from focus groups, teacher logs, and implementation fidelity forms, the researchers will use qualitative methods to discover themes regarding intervention strengths or weaknesses and barriers to implementation. For all quantitative data, they will calculate descriptive statistics. The researchers will use multilevel modeling to examine the effects of LINK instruction relative to BAU instruction on student outcomes in the pilot study.

Cost analysis strategy

The researchers will calculate the costs of providing the LINK intervention using the Ingredients Approach. They will also plan to conduct a cost-effectiveness analysis.

People and institutions involved

IES program contact(s)

Vinita Chhabra

Education Research Analyst
NCER

Project contributors

Sharon Vaughn

Co-principal investigator

Emily Solari

Co-principal investigator

Greg Roberts

Co-principal investigator

Products and publications

Products: This project will result in a fully developed online intervention that uses prompts embedded in a knowledge-building sequence of culturally responsive texts to support the generation of text-connecting. Products also include peer-reviewed publications and presentations as well as additional dissemination products that reach education stakeholders, such as practitioners and policymakers.

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

Related projects

Understanding Malleable Cognitive Processes and Integrated Comprehension Interventions for Grades 7–12

R305F100013

Supplemental information

Co-Principal Investigators: Vaughn, Sharon; Solari, Emily; Johnson, Wintre; Roberts, Greg 

Questions about this project?

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

 

Tags

CognitionEducation TechnologyEnglish Learners (EL)K-12 EducationLiteracy

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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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