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Donnette Narine; Takashi Yamashita; Runcie C. W. Chidebe; Phyllis A. Cummins; Jenna W. Kramer; Rita Karam – Grantee Submission, 2024
Job automation can undermine economic security for workers in general, and older workers, in particular. In this respect, consistently updating one's knowledge and skills is essential for being competitive in a technology-driven labor market. Older workers with lower adult literacy skills experience difficulties with continuous education and…
Descriptors: Automation, Careers, Lifelong Learning, Skill Development
Jennifer Martinez; Daphne Greenberg; Cynthia Puranik; Jason Braasch; Charles MacArthur; Zoi Philippakos; Christine Miller – Grantee Submission, 2024
Motivational research identifies utility value, or the importance of a learning task to future goals, as central to motivation to learn. This study analyzed survey data (N=86) collected from adult literacy learners to examine their utility value of writing improvement in grammar and spelling skills, word processing skills, and planning, drafting,…
Descriptors: Writing Skills, Writing Improvement, Skill Development, Adult Basic Education
Chen, Su; Fang, Ying; Shi, Genghu; Sabatini, John; Greenberg, Daphne; Frijters, Jan; Graesser, Arthur C. – Grantee Submission, 2021
This paper describes a new automated disengagement tracking system (DTS) that detects learners' maladaptive behaviors, e.g. mind-wandering and impetuous responding, in an intelligent tutoring system (ITS), called AutoTutor. AutoTutor is a conversation-based intelligent tutoring system designed to help adult literacy learners improve their reading…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Attention, Adult Literacy
Donnette Narine; Takashi Yamashita; Runcie C. W. Chidebe; Phyllis A. Cummins; Jenna W. Kramer; Rita Karam – Grantee Submission, 2023
Job automation is a topical issue in a technology-driven labor market. However, greater amounts of human capital (e.g., often measured by education, and information-processing skills, including adult literacy) are linked with job security. A knowledgeable and skilled labor force better resists unemployment and/or rebounds from job disruption…
Descriptors: Human Capital, Automation, Job Security, Labor Force Development
Einarson, Inga; Miller, Christine; Rodgerson, Devi; Lacerenza, Lea; Lovett, Maureen W.; Greenberg, Daphne – Grantee Submission, 2020
This article describes the experiences of three research teachers working for an adult literacy research and development center (csal.gsu.edu). This paper provides an overview of the program content delivered in the research adult literacy classes, shares experiences teaching this program, describes the learners' responses to the program, and…
Descriptors: Adult Basic Education, Adult Literacy, Research and Development, Program Effectiveness
Christine Dunagin Miller; Daphne Greenberg; Robert Hendrick; Elizabeth L. Tighe – Grantee Submission, 2024
Childhood education affects how individuals adapt to the challenges of adulthood. Although various generalizations are made relating childhood educational experiences to characteristics of adults, there is scant evidence to support those assertions for adult literacy learners in the United States. This study investigates the relationship of…
Descriptors: Child Development, Educational Experience, Adult Literacy, Literacy Education
Lippert, Anne; Gatewood, Jessica; Cai, Zhiqiang; Graesser, Arthur C. – Grantee Submission, 2019
One out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Adult Literacy, Skill Development
Elizabeth L. Tighe; Gal Kaldes; Danielle S. McNamara – Grantee Submission, 2023
Inferencing skills uniquely contribute to the reading comprehension skills of older grade-school and college students. Evidence also suggests that children's reading component skills, such as decoding and language comprehension, differentially contribute to various reading comprehension assessments. However, additional research is needed to…
Descriptors: Inferences, Reading Comprehension, Vocabulary Development, Morphology (Languages)
Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2021
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Reading Comprehension
Shi, Genghu; Pavlik, Philip, Jr.; Graesser, Arthur – Grantee Submission, 2017
After developing an intelligent tutoring system (ITS), or any other class of learning environments, one of the first questions that should be asked is whether the system was effective in helping students learn the targeted skills or subject matter. In this study, we employed two educational data mining models (Additive Factor Model, AFM and…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Program Effectiveness