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Megan Kathleen Neel – ProQuest LLC, 2024
The purpose of this quantitative correlational-predictive study was to determine if and to what extent Online Full Time Faculty's (OFTF) Emotional Intelligence (EI) Self-Perception, Self-Expression, Interpersonal, Decision Making, and Stress Management, individually and combined, predicted Online Student Success in an online higher education…
Descriptors: College Faculty, Online Courses, Emotional Intelligence, Self Concept
Or Goren; Liron Cohen; Amir Rubinstein – International Educational Data Mining Society, 2024
The problem of student dropout in higher education has gained significant attention within the Educational Data Mining research community over the years. Since student dropout is a major concern for the education community and policymakers, many research studies aim to evaluate and uncover profiles of students at-risk of dropping out, allowing…
Descriptors: Dropout Characteristics, Prediction, Potential Dropouts, Student Characteristics
Viezel, Kathleen D.; Freer, Benjamin; Morgan, Chelsea D. – Focus on Autism and Other Developmental Disabilities, 2022
As an increasing number of individuals with autism spectrum disorder (ASD) matriculate on college campuses, all stakeholders should be prepared to meet their needs. Despite a body of literature describing adaptive behavior deficits of individuals with ASD, there is a paucity of research examining these skills among those who are college-ready. The…
Descriptors: Autism, Pervasive Developmental Disorders, Student Adjustment, College Freshmen
Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
Akkuzu-Guven, Nalan; Uyulgan, Melis Arzu – Journal of Education in Science, Environment and Health, 2021
Ecological intelligence is a comprehensive understanding that aims to create an awareness regarding how human activities affect ecosystems and to promote preventing unconscious consumption behaviors that would lead to a sustainable life. It enables us to take social, economic and environmental responsibility, also to act cooperatively and…
Descriptors: Environmental Education, College Students, Student Participation, Ecology
Istapra, Eva; Sasongko, Rambat Nur; Kristiawan, Muhammad; Kusumah, Raden Gamal Tamrin; Walid, Ahmad – Education Quarterly Reviews, 2021
The purpose of this study was to determine the relationship between interpersonal intelligence and student learning outcomes so that there is an increase and strengthening of student achievement. The method used in this research is field research with a correlational quantitative approach which aims to analyze the relationship between…
Descriptors: Interpersonal Competence, Academic Achievement, Outcomes of Education, Emotional Intelligence
Akdemir, Ahmet Selçuk – Shanlax International Journal of Education, 2021
Willingness to communicate (WTC), a recent affective construct of SLA research, has experienced a paradigm shift regarding its nature. Current WTC research tends to define it as a dynamic and context-bound structure rather being in a linear and static disposition. New conceptualization is based on Complex Dynamic System (CDS) theory. This theory…
Descriptors: Interpersonal Communication, Second Language Learning, Language Skills, Attitudes
Grey, Brittany; Deutchki, Elizabeth K.; Lund, Emily A.; Werfel, Krystal L. – Journal of Early Intervention, 2022
This study compared preschool spoken language outcomes for children with hearing loss who met the Early Hearing Detection and Intervention (EHDI) guidelines to those who did not, as well as compared outcomes for those who met the current EHDI guidelines to those who met the earlier benchmarks. Finally, the predictive role of meeting each component…
Descriptors: Early Intervention, Preschool Children, Hearing Impairments, Benchmarking
Raj, Nisha S.; V. G., Renumol – E-Learning and Digital Media, 2022
Learning analytics aims at helping the students to attain their learning goals. The predictions in learning analytics are made to enhance the effectiveness of educational interferences. This study predicts student engagement at an early phase of a Virtual Learning Environment (VLE) course by analyzing data collected from consecutive years. The…
Descriptors: Foreign Countries, Learner Engagement, Virtual Classrooms, Artificial Intelligence
Mallory L. Dobias; Michael B. Sugarman; Michael C. Mullarkey; Jessica L. Schleider – Administration and Policy in Mental Health and Mental Health Services Research, 2022
A large proportion of adolescents experiencing depression never access treatment. To increase access to effective mental health care, it is critical to understand factors associated with increased versus decreased odds of adolescent treatment access. This study used individual depression symptoms and sociodemographic variables to predict…
Descriptors: Adolescents, Depression (Psychology), Access to Health Care, Mental Health
Michaela Arztmann; Jessica Lizeth Domínguez Alfaro; Lisette Hornstra; Jacqueline Wong; Johan Jeuring; Liesbeth Kester – British Journal of Educational Technology, 2025
A distinct feature of educational games using augmented reality (AR) is that the game is played through physically interacting with the environment, whereas physical interaction is typically rather limited in other digital games. Understanding and performing the interactive game mechanics can be cognitively demanding. Adding pre-training could…
Descriptors: Computer Simulation, Artificial Intelligence, Training, Cognitive Processes
Guanghui He – European Journal of Education, 2025
Guided by Self-Determination Theory, this mixed-methods study investigates how professor-student rapport, grit and motivation affect engagement among Chinese university students learning English. Quantitative data were collected from 721 students through self-report questionnaires, and qualitative data were obtained through semi-structured…
Descriptors: College Faculty, College Students, Teacher Student Relationship, Academic Persistence
An Jie Lye; Peng Yen Liew; Hidayah Mohd Fadzil; Chan Choong Foong – Journal of Chemical Education, 2023
Current engineering education should develop the noncognitive abilities of students. Psychological capital (PsyCap) is defined as an individual's strengths of self-efficacy, optimism, hope, and resiliency. PsyCap is an essential noncognitive ability that influences student mental health and academic performance, yet limited research has been done…
Descriptors: Emotional Intelligence, Student Characteristics, Chemical Engineering, Predictor Variables
Munise Seçkin Kapucu; I?brahim Özcan; Hülya Özcan; Ahmet Aypay – International Journal of Technology in Education and Science, 2024
Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…
Descriptors: Secondary School Students, Science Achievement, Artificial Intelligence, Foreign Countries
Michal L. Cook; Brianne Tomaszewski; Elena Lamarche; Karrah Bowman; Claire B. Klein; Sara Stahl; Laura G. Klinger – Autism: The International Journal of Research and Practice, 2024
Autistic individuals are at significantly higher risk of suicide than non-autistic individuals, with transition-aged youth at potentially the highest risk. While lower executive function (EF) skills have been significantly associated with suicide risk in other clinical samples, the link between EF and suicidality has not yet been examined for…
Descriptors: Suicide, At Risk Persons, Youth, Autism Spectrum Disorders

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