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Using AutoTutor to Track Performance and Engagement in a Reading Comprehension Intervention for Adult Literacy Students

Title: Using AutoTutor to Track Performance and Engagement in a Reading Comprehension Intervention for Adult Literacy Students
Language: English
Authors: Graesser, Arthur C.; Greenberg, Daphne; Frijters, Jan C.; Talwar, Amani
Source: Grantee Submission. 2021.
Peer Reviewed: Y
Page Count: 38
Publication Date: 2021
Sponsoring Agency: Institute of Education Sciences (ED)
Contract Number: R305C120001; R305A200413
Document Type: Reports - Research
Education Level: Adult Education
Descriptors: Reading Achievement; Learner Engagement; Reading Comprehension; Intervention; Adult Students; Electronic Learning; Intelligent Tutoring Systems; Foreign Countries; Program Effectiveness; Reading Instruction
Geographic Terms: United States; Canada
Abstract: A large percentage of adults throughout the world have low reading skills. Computer technologies can potentially help these adults improve their literacy in addition to instructors at literacy centers. AutoTutor was designed to teach comprehension strategies by implementing conversational "trialogues" in which two computer agents (tutor and peer) hold spoken interactions with the adult about words, sentences, and text in digital lessons. The agents model comprehension strategies, ask questions, and give feedback on adult answers. AutoTutor records in log files the adults' performance, namely the time and accuracy of answering questions in the conversation. We assessed the value of AutoTutor in a study with 52 adult literacy students in the United States and Canada who interacted with AutoTutor as part of a 4-month intervention with human instructors. Performance in AutoTutor was tracked at four theoretical discourse levels (words, explicit textbase, conceptual situation model, rhetorical structure) and also engagement, with an objective psychometric measure of comprehension skill both before and after the intervention. The results showed that AutoTutor provides nuanced performance and engagement measures that predicted comprehension improvements and can be used to guide formative assessment for instructors. [This paper was published in "Revista Signos" v54 n107 p1089-1113 2021.]
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2022
Access URL: http://www.revistasignos.cl/index.php/signos/article/view/776/402
Accession Number: ED618419
Database: ERIC