ERIC Number: ED675631
Record Type: Non-Journal
Publication Date: 2025
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
Using Survival Analysis to Identify the Factors That Mitigate Attrition among Adult Learners with Low Literacy Skills in an ITS-Based Literacy Program
Genghu Shi; Shun Peng; Daphne Greenberg; Jan Frijters; Arthur C. Graesser
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (18th, Palermo, Italy, Jul 20-23, 2025)
Adult literacy in the U.S. remains a persistent challenge. Alarmingly, half of adults demonstrated literacy skills at or below basic proficiency levels. This deficiency significantly impacts the daily functioning, workplace success, health outcomes, and socioeconomic disparities. Intelligent tutoring systems (ITS) serve as a promising solution for improving adult learners' literacy skills. In practice, however, we observed that learner attrition has taken a toll on the effectiveness of a literacy program we developed that includes an ITS. To identify the factors that may mitigate attrition among these learners, this study employed the survival analysis with 205 adult learners from both the U.S. and Canada who participated in our adult literacy program with an ITS. The results showed that the average number of lesson attempts by these learners, regardless of lesson completion, and their public assistance status may reduce the risk of dropping out of the program. Survival Analysis also indicated that Black learners faced elevated attrition risks. The findings have important implications for optimizing Intelligent Tutoring System (ITS)-based adult literacy programs: (1) Short-term persistence, operationalized through strategies such as lesson repetition and review, may enhance long-term retention; (2) future programs must adopt culturally responsive frameworks tailored to the specific needs of Black learners, who demonstrated elevated attrition risks, to address systemic disparities in engagement and retention; (3) program administrators should collaborate with social services to connect learners with public assistance resources, thereby mitigating socioeconomic barriers that compete with learning time. [For the complete proceedings, see ED675583.]
Descriptors: Adult Learning, Adult Education, Adult Students, Academic Persistence, Adult Literacy, Literacy Education, Illiteracy, Intelligent Tutoring Systems, Foreign Countries, African American Students, Blacks, Disadvantaged, Culturally Relevant Education
International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Adult Education
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED); National Science Foundation (NSF)
Authoring Institution: N/A
Identifiers - Location: Canada (Toronto); Georgia (Atlanta)
IES Funded: Yes
Grant or Contract Numbers: R305C120001; R305A200413; 1934745
Department of Education Funded: Yes
Author Affiliations: N/A

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