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Kirankumar, Veena; Sung, Hanall; Swart, Michael; Kim, Doy; Xia, Fangli; Kwon, Oh Hoon; Nathan, Mitchell; Walkington, Candace – Grantee Submission, 2021
This study looks at how students embody their ideas about geometry conjectures and how those ideas travel within and between student groups. In one classroom of a Title 1 high school, students participated in a three-part program in which they: (1) played "The Hidden Village," a motion-capture video game where they assess the veracity of…
Descriptors: Geometry, Mathematics Instruction, High School Students, Video Games
Batley, Prathiba Natesan; Hedges, Larry V. – Grantee Submission, 2021
Although statistical practices to evaluate intervention effects in SCEDs have gained prominence in the recent times, models are yet to incorporate and investigate all their analytic complexities. Most of these statistical models incorporate slopes and autocorrelations both of which contribute to trend in the data. The question that arises is…
Descriptors: Bayesian Statistics, Models, Accuracy, Computation
Botarleanu, Robert-Mihai; Dascalu, Mihai; Watanabe, Micah; McNamara, Danielle S.; Crossley, Scott Andrew – Grantee Submission, 2021
The ability to objectively quantify the complexity of a text can be a useful indicator of how likely learners of a given level will comprehend it. Before creating more complex models of assessing text difficulty, the basic building block of a text consists of words and, inherently, its overall difficulty is greatly influenced by the complexity of…
Descriptors: Multilingualism, Language Acquisition, Age, Models
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Memory, Inferences, Syntax
Ruseti, Stefan; Dascalu, Maria-Dorinela; Corlatescu, Dragos-Georgian; Dascalu, Mihai; Trausan-Matu, Stefan; McNamara, Danielle S. – Grantee Submission, 2021
Dialogism is a philosophical theory centered on the idea that life involves a dialogue among multiple voices in a continuous exchange and interaction. Considering human language, different ideas or points of view take the form of voices, which spread throughout any discourse and influence it. From a computational point of view, voices can be…
Descriptors: Dialogs (Language), Computational Linguistics, Semantics, Models
Shi, Genghu; Wang, Lijia; Zhang, Liang; Shubeck, Keith; Peng, Shun; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2021
Adult learners with low literacy skills compose a highly heterogeneous population in terms of demographic variables, educational backgrounds, knowledge and skills in reading, self-efficacy, motivation etc. They also face various difficulties in consistently attending offline literacy programs, such as unstable worktime, transportation…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Adult Students, Reading Comprehension
Magooda, Ahmed; Litman, Diane – Grantee Submission, 2021
This paper explores three simple data manipulation techniques (synthesis, augmentation, curriculum) for improving abstractive summarization models without the need for any additional data. We introduce a method of data synthesis with paraphrasing, a data augmentation technique with sample mixing, and curriculum learning with two new difficulty…
Descriptors: Data Analysis, Synthesis, Documentation, Models
Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
Gao, Yannan; Dicke, Anna-Lena; Safavian, Nayssan; Eccles, Jacquelynne – Grantee Submission, 2021
College Introductory STEM courses impact students' persistence. Guided by Eccles' Expectancy-Value (EV) theory, we examined undergraduates' open-ended explanations for major persistence plans. Students (N=2,737; 45.6% women; 16.4% White, 22.6% Latino/a, 46.5% Asian, 14.5% other; 43% 1st-generation college-going students) reported certainty in…
Descriptors: Undergraduate Students, First Generation College Students, Majors (Students), Student Attitudes
Safavian, Nayssan; Dicke, Anna-Lena; Gao, Yannan; Eccles, Jacquelynne – Grantee Submission, 2021
To better understand underrepresented undergraduates' motivation for pursuing their major, we examined undergraduates' articulated explanations for their major choice and its association with their motivational beliefs within an introductory chemistry course. Students' (n=503, 68% female, 56% First-Generation College-Going, 34% Hispanic)…
Descriptors: Undergraduate Students, Disproportionate Representation, Majors (Students), Chemistry
Allen, Laura Kristen; Magliano, Joseph P.; McCarthy, Kathryn S.; Sonia, Allison N.; Creer, Sarah D.; McNamara, Danielle S. – Grantee Submission, 2021
The current study examined the extent to which the cohesion detected in readers' constructed responses to multiple documents was predictive of persuasive, source-based essay quality. Participants (N=95) completed multiple-documents reading tasks wherein they were prompted to think-aloud, self-explain, or evaluate the sources while reading a set of…
Descriptors: Reading Comprehension, Connected Discourse, Reader Response, Natural Language Processing
Sanei, Hamid; Lee, Hollylynne – Grantee Submission, 2021
This paper investigates two specific probabilistic biases which middle graders usually exhibit when reasoning about probability and randomness on assessment items. We discuss how students' reasoning about key probability concepts undergirds statistics literacy related to randomness, independence, and the likelihood of future events based on past…
Descriptors: Mathematical Concepts, Probability, Middle School Mathematics, Middle School Students
Walkington, Candace; Gravell, Jamie; Velazquez, José A.; He, Tianyu; Hickey, George; Nathan, Mitchell J.; Cuevas, Anthony – Grantee Submission, 2021
Augmented Reality (AR) and Virtual Reality (VR) platforms now support shared, immersive experiences that enable people to directly physically and perceptually engage with mathematical objects, including shared objects. These new forms of AR/VR technology -- which we call "shared holographic AR/VR" (shAR) -- enable multiple learners to…
Descriptors: Cooperative Learning, Electronic Learning, Computer Simulation, Mathematics Education
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
Amos, Jennifer R.; Zhang, Zhilin; Angrave, Lawrence; Liu, Hongye; Shen, Yiyin – Grantee Submission, 2021
Among all college students, students with disabilities are particularly at risk due to a high percentage of underreporting. We conducted a survey across many undergraduate courses in engineering and computing at the University of Illinois to identify course components that engage students with and without disabilities. We were motivated to find…
Descriptors: Access to Education, Student Needs, Students with Disabilities, Engineering Education

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