Background: Children with developmental coordination disorder (DCD) frequently have difficulties performing gross motor skills such as the overarm throw. Our study examines the differences in both qualitative and quantitative characteristics of overarm throwing for accuracy between typically developing (TD) and children with DCD. Methods: A total…

Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…

Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…

Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. The…

Empirical evidence shows the efficiency of coordinated interaction in mother-infant dyads through unintentional movements: social entrainment, early imitation. The growing body of the literature evidently shows an impact of arousal on group performance and spreading emotion from one individual to another organism, called emotional contagion. The…

The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…

Spelling difficulties is referred to as dictation difficulties in China. The visual-auditory binding deficit hypothesis suggested that Chinese dictation difficulties can be correlated with deficits in binding visual and auditory information. However, how Chinese characters are mentally represented in children with dictation difficulties remained…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

The purpose for this quantitative non-experimental, correlational, explanatory study was to determine the predictive accuracy of family and community demographic variables found in United States census data at the community level for the OST in reading. Specifically, the study extended the work in order to analyze the reading student proficiency…

Defenses against adversarial attacks are essential to ensure the reliability of machine learning models as their applications are expanding in different domains. Existing ML defense techniques have several limitations in practical use. I proposed a trustworthy framework that employs an adaptive strategy to inspect both inputs and decisions. In…

Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…

The field of Heritage Language has experienced a great deal of advancement in the past few decades. Much research effort has been dedicated to analyzing and understanding different aspects of heritage language speakers, but less work has been done in the topic of pedagogical approaches. The few recent studies on pedagogical approaches have focused…

The present study investigated the extent to which monitoring practice and timely monitoring feedback, contextualized in an online undergraduate biology course, improved students' metacognitive monitoring and learning outcomes. The intervention followed a true experimental design and randomly assigned 162 students into three conditions: a control…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Despite extensive research on task planning in L2 writing contexts, the optimal length of pre-task planning time remains uncertain due to varying lengths used in TBLT studies. This study aimed to address this gap by investigating the effects of different pre-task planning times (nil, 5, 10, and 15 minutes) on the argumentative writing task…