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Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Open-ended comprehension questions are a common type of assessment used to evaluate how well students understand one of multiple documents. Our aim is to use natural language processing (NLP) to infer the level and type of inferencing within readers' answers to comprehension questions using linguistic and semantic features within their responses.…
Descriptors: Natural Language Processing, Taxonomy, Responses, Semantics
Wu, Sally P. W.; Van Veen, Barry; Rau, Martina A. – Grantee Submission, 2020
Background: Recent engineering education research has found improved learning outcomes when instructors engage students actively (e.g., through practice problems) rather than passively (e.g., in lectures). As more instructors shift toward active learning, research needs to identify how different types of activities affect students' cognitive…
Descriptors: Freehand Drawing, Prompting, Cues, Active Learning
Hecht, Cameron A.; Grande, Matthew R.; Harackiewicz, Judith M. – Grantee Submission, 2020
An individual's initial interest in a topic may quickly fade, or it may become deeper and more enduring. One factor that may support an emerging interest is to discover utility value (or usefulness) in the topic. Instructional materials that emphasize the utility value of a topic can enhance learning and motivation, but whether these materials can…
Descriptors: Student Interests, Learning Motivation, Instructional Materials, Undergraduate Students
Yamashita, Takashi; Smith, Thomas J.; Cummins, Phyllis A. – Grantee Submission, 2020
Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and…
Descriptors: Learning Analytics, Computer Software, Syntax, Adults
Masek, Lillian R.; Patterson, Sarah J.; Golinkoff, Roberta Michnick; Bakeman, Roger; Adamson, Lauren B.; Owen, Margaret Tresch; Pace, Amy; Hirsh-Pasek, Kathy – Grantee Submission, 2020
Infants from low-socioeconomic status (SES) households hear a projected 30 million fewer words than their higher-SES peers. In a recent study, Hirsh-Pasek et al. (Psychological Science, 2015; 26: 1071) found that in a low-income sample, fluency and connectedness in exchanges between caregivers and toddlers predicted child language a year later…
Descriptors: Socioeconomic Status, Social Differences, Child Language, Language Acquisition
Sanders, Michael T.; Bierman, Karen L.; Heinrichs, Brenda S. – Grantee Submission, 2020
Growing up in poverty increases youth risk for developing aggressive behavior problems which, in turn, are associated with a host of problematic outcomes, including school drop-out, substance use, mental health problems, and delinquency. In part, this may be due to exposure to adverse school contexts that create socialization influences supporting…
Descriptors: Longitudinal Studies, Low Income Students, Preschool Education, Grade 7
Bottiani, Jessika H.; McDaniel, Heather L.; Henderson, Lora; Castillo, Jasmin E.; Bradshaw, Catherine E. – Grantee Submission, 2020
Background: Urban black adolescents' wellbeing in the early high school years can be negatively impacted by exposure to racial discrimination. These impacts may be buffered by supportive relationships with adults at school. We considered both the protective and promotive effects of culturally responsive teachers and caring school police on school…
Descriptors: Caring, Racial Discrimination, Culturally Relevant Education, Teacher Student Relationship
Hall, Garret James – Grantee Submission, 2020
Although mathematics development research has become more prominent in the school psychology literature in recent years, a large research gap in this area exists regarding English language learners (ELLs). Significant research in education, cognitive science, and psychology has been devoted to understanding the links between language and…
Descriptors: Response to Intervention, Language Proficiency, Short Term Memory, English Language Learners
Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
The Predict-Observe-Explain (POE) learning cycle improves understanding of the connection between empirical results and theoretical concepts when students engage in hands-on experimentation. This study explored whether training students to use a POE strategy when learning from social science texts that describe theories and experimental results…
Descriptors: Prediction, Observation, Reading Comprehension, Correlation
Capin, Philip; Stevens, Elizabeth A.; Stewart, Alicia A.; Swanson, Elizabeth; Vaughn, Sharon – Grantee Submission, 2020
Teaching vocabulary and reading comprehension during social studies instruction is critical for reading development and the acquisition of content knowledge. This study systematically investigated how elementary teachers integrate vocabulary and reading comprehension instruction during social studies teaching, as well as the extent to which this…
Descriptors: Vocabulary Development, Reading Comprehension, Elementary School Teachers, Reading Instruction
Lippert, Anne; Shubeck, Keith; Morgan, Brent; Hampton, Andrew; Graesser, Arthur – Grantee Submission, 2020
This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent…
Descriptors: Intelligent Tutoring Systems, Man Machine Systems, Natural Language Processing, Educational Technology
Li, Haiying; Graesser, Art C. – Grantee Submission, 2020
This study investigated how computer agents' language style affects summary writing in an Intelligent Tutoring System, called CSAL AutoTutor. Participants interacted with two computer agents in one of three language styles: (1) a "formal" language style; (2) an "informal" language style; and (3) a "mixed" language…
Descriptors: Intelligent Tutoring Systems, Language Styles, Writing (Composition), Writing Improvement
Auerbach, Emily R.; Chafouleas, Sandra M.; Briesch, Amy M.; Long, Stephanie J. – Grantee Submission, 2020
Background: Although recent studies provide information regarding state-level policies and district-level practices regarding social, emotional, and behavioral screening, the degree to which these policies influence screening practices is unknown. As such, the purpose of this exploratory study was to compare state- and district-level policies and…
Descriptors: Public Schools, State Policy, Board of Education Policy, Social Behavior
Furlong, Michael J.; Nylund-Gibson, K.; Dowdy, E.; Wagle, R.; Hinton, T.; Carter, D. – Grantee Submission, 2020
Our UC Santa Barbara research team engages in ongoing efforts to enhance and validate the Social Emotional Health Surveys (Primary, Secondary, and Higher Education). The initiative to enhance the secondary version is supported by an Institute of Education Sciences grant (#R305A160157, 2016-2020), which provides funding to refine, standardize, and…
Descriptors: Surveys, Psychometrics, Test Validity, Mental Health
Clarke, Ben; Strand Cary, Mari G.; Shanley, Lina; Sutherland, Marah – Grantee Submission, 2020
This manuscript presents the results from a study to investigate the technical characteristics of two versions of a number line assessment (NLA 0-20 and NLA 0-100). The sample consisted of 60 kindergarten and 46 first grade students. Both number line versions had sufficient alternate form and test-retest reliability. The NLA 0-20 had low and the…
Descriptors: Mathematics Achievement, Numbers, At Risk Students, Kindergarten
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