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Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Thorson, Jill C.; Morgan, James L. – Journal of Child Language, 2021
Our motivation was to examine how toddler (2;6) and adult speakers of American English prosodically realize information status categories. The aims were three-fold: (1) to analyze how adults phonologically make information status distinctions; (2) to examine how these same categories are signaled in toddlers' spontaneous speech; and (3) to analyze…
Descriptors: Intonation, Suprasegmentals, Toddlers, Preferences
Adams, Catherine; Lockton, Elaine; Collins, Anna – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The purposes of this study are to investigate metapragmatic (MP) ability in 6-11-year-old children with social communication disorder (SCD), developmental language disorder (DLD), and typical language development and to explore factors associated with MP explicitation and social understanding (SU). Method: In this cross-sectional study,…
Descriptors: Communication Disorders, Language Impairments, Comparative Analysis, Case Studies
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Yuzhen Luo – ProQuest LLC, 2020
Systems thinking is the ability to see the big picture and the related elements when designing, and how these relationships form the big picture. In engineering design, systems thinking is valuable to both industry, as well as engineering education. As such, it creates opportunities for researchers to better understand systems thinking of both…
Descriptors: Engineering Education, Thinking Skills, Systems Approach, College Freshmen
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Poulin-Dubois, Diane; Yott, Jessica – Developmental Science, 2018
There is currently a hot debate in the literature regarding whether or not infants have a true theory of mind (ToM) understanding. According to the mentalistic view, infants possess the same false belief understanding that older children have but their competence is masked by task demands. On the other hand, others have proposed that preverbal…
Descriptors: Infants, Theory of Mind, Task Analysis, Validity
Yildirim, Denizer; Usluel, Yasemin – Australasian Journal of Educational Technology, 2022
This study aimed to examine the behaviour of learners across a whole system and in various courses to reveal the interrelation between learners' system interaction, age, programme features and course design. We obtained data from the system logs of 1,634 learners enrolled in distance learning programmes. We performed hierarchical clustering…
Descriptors: Interaction Process Analysis, Academic Achievement, Online Courses, Student Behavior
Dillenbourg, Pierre; Lemaignan, Séverin; Sangin, Mirweis; Nova, Nicolas; Molinari, Gaëlle – International Journal of Computer-Supported Collaborative Learning, 2016
Collaborative learning has often been associated with the construction of a shared understanding of the situation at hand. The psycholinguistics mechanisms at work while establishing common grounds are the object of scientific controversy. We postulate that collaborative tasks require some level of mutual modelling, i.e. that each partner needs…
Descriptors: Cooperative Learning, Modeling (Psychology), Interaction, Teamwork
Davidson, Denise; Vanegas, Sandra B.; Hilvert, Elizabeth – Journal of Autism and Developmental Disorders, 2017
Self-conscious emotions, such as shame, guilt and pride, facilitate our social interactions by motivating us to adhere to social norms and external standards. In this study, we examined proneness to shame, guilt, hubristic pride and authentic pride in adults with Autism Spectrum Disorder traits (ASD-T) and in neurotypical (NT) adults. Relations…
Descriptors: Adults, Autism, Pervasive Developmental Disorders, Emotional Response
Premo, Joshua; Cavagnetto, Andy; Davis, William B. – CBE - Life Sciences Education, 2018
Collaboration is an important career skill and vital to student understanding of the social aspects of science, but less is known about relationships among collaborative-learning strategies, classroom climate, and student learning. We sought to increase the collaborative character of introductory undergraduate laboratory classrooms by analyzing a…
Descriptors: Cooperative Learning, Undergraduate Students, Science Laboratories, Interaction
Kim, YouJin; Skalicky, Stephen; Jung, YeonJoo – Language Learning, 2020
To date, linguistic alignment studies in second language acquisition have mainly been conducted during face-to-face (FTF) interactions. In the current study, we examined and compared the effect of structural alignment on the development of English direct and indirect questions in FTF and synchronous computer-mediated communication (SCMC) contexts.…
Descriptors: Role, Synchronous Communication, Computer Mediated Communication, Interpersonal Communication
De Keyser, Kim; Santens, Patrick; Bockstael, Annelies; Botteldooren, Dick; Talsma, Durk; De Vos, Stefanie; Van Cauwenberghe, Mieke; Verheugen, Femke; Corthals, Paul; De Letter, Miet – Journal of Speech, Language, and Hearing Research, 2016
Purpose: This study investigated the possible relationship between hypokinetic speech production and speech intensity perception in patients with Parkinson's disease (PD). Method: Participants included 14 patients with idiopathic PD and 14 matched healthy controls (HCs) with normal hearing and cognition. First, speech production was objectified…
Descriptors: Speech Communication, Speech Impairments, Neurological Impairments, Diseases
Capio, C. M.; Mak, T. C. T.; Tse, M. A.; Masters, R. S. W. – Journal of Intellectual Disability Research, 2018
Background: Conclusive evidence supports the importance of fundamental movement skills (FMS) proficiency in promoting physical activity and countering obesity. In children with Down Syndrome (DS), FMS development is delayed, which has been suggested to be associated with balance deficits. This study therefore examined the relationship between FMS…
Descriptors: Down Syndrome, Children, Psychomotor Skills, Physical Disabilities
Hobson, Jessica A.; Hobson, R. Peter; Cheung, Yuen; Caló, Susana – Journal of Autism and Developmental Disorders, 2015
The aim of this study was to examine the relation between symbolic play and communicative engagement among children with and without autism. Our predictions were firstly, that in moment-by-moment interactions during semi-structured interactive play with an adult, children with and without autism would tend to show shifts in meanings in symbolic…
Descriptors: Autism, Children, Comparative Analysis, Play

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