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Kim, Johanna Inhyang; Bang, Sungkyu; Yang, Jin-Ju; Kwon, Heejin; Jang, Soomin; Roh, Sungwon; Kim, Seok Hyeon; Kim, Mi Jung; Lee, Hyun Ju; Lee, Jong-Min; Kim, Bung-Nyun – Journal of Autism and Developmental Disorders, 2023
Multimodal imaging studies targeting preschoolers and low-functioning autism spectrum disorder (ASD) patients are scarce. We applied machine learning classifiers to parameters from T1-weighted MRI and DTI data of 58 children with ASD (age 3-6 years) and 48 typically developing controls (TDC). Classification performance reached an accuracy,…
Descriptors: Preschool Children, Autism Spectrum Disorders, Control Groups, Classification
Sha, Lele; Rakovic, Mladen; Lin, Jionghao; Guan, Quanlong; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Chen, Guanliang – IEEE Transactions on Learning Technologies, 2023
In online courses, discussion forums play a key role in enhancing student interaction with peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to students in a timely manner. To address this problem, both traditional machine learning (ML) (e.g., Random Forest) and deep learning (DL) approaches have been…
Descriptors: Computer Mediated Communication, Discussion Groups, Artificial Intelligence, Intelligent Tutoring Systems
Zhan, Peida; Liu, Yaohui; Yu, Zhaohui; Pan, Yanfang – Applied Measurement in Education, 2023
Many educational and psychological studies have shown that the development of students is generally step-by-step (i.e. ordinal development) to a specific level. This study proposed a novel longitudinal learning diagnosis model with polytomous attributes to track students' ordinal development in learning. Using the concept of polytomous attributes…
Descriptors: Skill Development, Cognitive Measurement, Models, Educational Diagnosis
Wang, Wei; Zhao, Yongyong; Wu, Yenchun Jim; Goh, Mark – International Journal of Science Education, Part B: Communication and Public Engagement, 2023
This study analyzed the influence of rhetoric in the endorsement text on the willingness of the crowd to participate in citizen science projects. Four categories of endorsers were studied: professors, students, industrial researchers, and amateur researchers. Using 1243 endorsement texts from 543 citizen science projects as the corpus, the effects…
Descriptors: Citizen Participation, Science Education, Rhetoric, Scientific Research
Beechey, Timothy – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This article provides a tutorial introduction to ordinal pattern analysis, a statistical analysis method designed to quantify the extent to which hypotheses of relative change across experimental conditions match observed data at the level of individuals. This method may be a useful addition to familiar parametric statistical methods…
Descriptors: Hypothesis Testing, Multivariate Analysis, Data Analysis, Statistical Inference
Zheng, Yafeng; Gao, Zhanghao; Shen, Jun; Zhai, Xuesong – IEEE Transactions on Learning Technologies, 2023
A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…
Descriptors: Semantics, Classification, Electronic Learning, Computer Mediated Communication
Du, Yujie; Zhang, Chenyi – International Journal on Social and Education Sciences, 2023
Development dyslexia (DD) is a common language disorder, that significantly affects children. Despite having ordinary intelligence, dyslexic people struggle with reading, writing, and comprehension in their native tongue. It is still unclear whether dyslexic kids have difficulties with visuo-spatial working memory. Using meta-analysis, this gap…
Descriptors: Dyslexia, Spatial Ability, Short Term Memory, Language Usage
Sghir, Nabila; Adadi, Amina; Lahmer, Mohammed – Education and Information Technologies, 2023
The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…
Descriptors: Prediction, Learning Analytics, Artificial Intelligence, Data Collection
Hikmet Sevgin – International Journal of Assessment Tools in Education, 2023
This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…
Descriptors: Algorithms, Mathematics Education, Classification, Mathematics Achievement
Jia Tracy Shen – ProQuest LLC, 2023
In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…
Descriptors: Artificial Intelligence, Electronic Learning, Data, Generalization
Daniel Fitousi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
For nearly half a century now, Garner interference has been serving as the gold standard measure of dimensional interaction and selective attention. But the mechanisms that generate Garner interference are still not well understood. The current study proposes a novel theory that ascribes the interference (and dimensional interaction in general) to…
Descriptors: Interference (Learning), Attention, Cognitive Processes, Experimental Psychology
Carter-Sowell, Adrienne R.; Miller, Gabe H.; Ganesan, Asha; Kelly, Kimberle A.; Wang, Ran; Crist, Jaren D. – Journal of STEM Education: Innovations and Research, 2023
For 25 years, the National Science Foundation's Alliances for Graduate Education and the Professoriate (AGEP) program has been supporting efforts to broaden participation and meaningfully diversify the Science, Technology, Engineering, and Mathematics (STEM) postdoctoral and faculty ranks. To examine the structures and strategies carried out by…
Descriptors: Graduate Study, College Faculty, Diversity (Faculty), STEM Education
Alexander Adames – Grantee Submission, 2023
Researchers have long documented a persistent Black-White gap in wealth. These studies, however, often treat race as a discrete category, eluding its socially constructed nature. As a result, these studies assume that the "effect of race" is consistent across all individuals racialized as Black. Studies that make this assumption…
Descriptors: Racial Differences, Racism, Income, Longitudinal Studies
Simin Cheng; Zhuoning Xie; Qingyuan Hu; Yao Qian; Xiaoxiao Ma – Journal of Chemical Education, 2023
This study highlights the importance of incorporating modern mass spectrometry techniques into undergraduate education. By focusing on the structure-characterizing capability of MS, students are able to gain hands-on experience with cutting-edge techniques and better understand how MS can be used to solve real-world problems. The three-step lipid…
Descriptors: Undergraduate Students, Scientific Concepts, Science Instruction, College Science
Muhammad Andiri Hendrawan; Romadhani Ardi – International Society for Technology, Education, and Science, 2023
The use of smartphones has become a primary need in supporting human daily activities. With the presence of a smartphone, various activities can be carried out only through an application. One application that is currently popular with Indonesians is an investment application with products such as stocks, mutual funds, and crypto. The presence of…
Descriptors: Handheld Devices, Computer Oriented Programs, Models, Investment