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Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…
Descriptors: Automation, Scoring, Documentation, Likert Scales
Erin M. Anderson; Yin-Juei Chang; Susan Hespos; Dedre Gentner – Grantee Submission, 2022
Recent studies have found that infants show relational learning in the first year. Like older children, they can abstract relations such as "same" or "different" across a series of exemplars. For older children, language has a major impact on relational learning: labeling a shared relation facilitates learning, while labeling…
Descriptors: Infants, Language Acquisition, Learning Processes, Object Permanence
Steven Moore; Huy Anh Nguyen; John Stamper – Grantee Submission, 2021
While generating multiple-choice questions has been shown to promote deep learning, students often fail to realize this benefit and do not willingly participate in this activity. Additionally, the quality of the student-generated questions may be influenced by both their level of engagement and familiarity with the learning materials. Towards…
Descriptors: Multiple Choice Tests, Learning Processes, Learner Engagement, Familiarity
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie N.; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…
Descriptors: Computational Linguistics, Feedback (Response), Classification, Learning Processes
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Gary Weiser; Alison K. Billman; Christopher J. Harris; Lauren M. Brodsky; Damelin Daniel – Grantee Submission, 2022
The "Framework" and NGSS bring to the forefront the role of language in doing science and in learning from doing science. Yet, most existing science assessments for elementary learners do not integrate or attend to aspects of scientific language and literacy that are essential components of science proficiency. Accordingly, there is a…
Descriptors: Standards, Language Role, Science Instruction, Science Tests
Tara L. Hofkens; Jessica Whittaker; Robert C. Pianta; Virginia Vitiello; Erik Ruzek; Arya Ansari – Grantee Submission, 2022
Despite research demonstrating the importance of mathematics achievement to children's educational success and trajectories, many children enter kindergarten without the foundational mathematics skills needed to succeed (Garcia & Weiss, 2015). Children's executive function (EF) skills and their learning-related behaviors (Anthony & Ogg,…
Descriptors: Preschool Education, Preschool Children, Executive Function, Mathematics Achievement
Jamie J. Jirout; Sierra Eisen; Zoe S. Robertson; Tanya M. Evans – Grantee Submission, 2022
Play is a powerful influence on children's learning and parents can provide opportunities to learn specific content by scaffolding children's play. Parent-child synchrony (i.e., harmony, reciprocity and responsiveness in interactions) is a component of parent-child interactions that is not well characterized in studies of play. We tested whether…
Descriptors: Play, Mothers, Parent Child Relationship, Executive Function
Lillie Moffett; Frederick J. Morrison – Grantee Submission, 2020
Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to…
Descriptors: Self Control, Executive Function, Inhibition, Short Term Memory
Lipschultz, Michael; Litman, Diane; Katz, Sandra; Albacete, Patricia; Jordan, Pamela – Grantee Submission, 2014
Post-problem reflective tutorial dialogues between human tutors and students are examined to predict when the tutor changed the level of abstraction from the student's preceding turn (i.e., used more general terms or more specific terms); such changes correlate with learning. Prior work examined lexical changes in abstraction. In this work, we…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Semantics, Abstract Reasoning