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Alireza Maleki – Journal of Academic Ethics, 2025
Although existing research has explored various aspects of online exam cheating, there is a scarcity of studies with in-depth qualitative phases focusing specifically on psychological reasons for online exam cheating in higher education context. Therefore, the aim of this mixed-methods research is to investigate the psychological reasons behind…
Descriptors: English (Second Language), Computer Assisted Testing, Cheating, College Students
Harisa Mardiana; Yakub Yakub – Asian Association of Open Universities Journal, 2025
Purpose: This study investigates how digital literacy, digital competence and work behavior influence online teaching productivity among educators in higher education. It aims to understand how these elements interact to enhance digital teaching effectiveness. Design/methodology/approach: A mixed-methods approach was employed. Quantitative data…
Descriptors: Digital Literacy, Electronic Learning, Teacher Effectiveness, Productivity
Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
Saad Z. Alshehri – Science Education International, 2025
This study seeks to explore, through practical means, the holistic impact of the science curriculum (SC) in heightening awareness about pollution-related issues. In addition, it aims to assess its role in motivating a particular behavior among higher education students in Saudi Arabia specifically, the actions they take to mitigate pollution. The…
Descriptors: Foreign Countries, Science Curriculum, Pollution, College Students
Xinrui Sui; Qicong Lin; Qi Wang; Haipeng Wan – Education and Information Technologies, 2025
This study explores the role of Artificial Intelligence Generated Content (AIGC) in undergraduates' learning and research, and its increasing significance in higher education. Against this backdrop, understanding college students' attitudes, behaviors, and intentions towards AIGC is beneficial for better guiding their learning under the support of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Higher Education
Johan Wong; David Foxe; James Carrick; Rebekah M. Ahmed; James R. Burrell; Olivier Piguet – International Journal of Language & Communication Disorders, 2025
Background: Impacts of dementia syndromes on caregivers are well established, but research specific to Primary Progressive Aphasia (PPA) populations is scant. In particular, little is known about the impacts of non-language symptoms (e.g., emotion recognition and behavioural disturbance) on caregiver outcomes in PPA. Aims: The present study sought…
Descriptors: Dementia, Aphasia, Caregivers, Coping
Chun Sing Maxwell Ho; Darren A. Bryant – Asia Pacific Journal of Education, 2025
Studies have shown that teacher leaders take the initiative to shape and exercise pastoral care practices to meet the rapid changes in student learning and well-being. The present study aims to examine and conceptualize the relationship between teacher entrepreneurial behaviour (TEB) and the renewal of pastoral care practices while accounting for…
Descriptors: Entrepreneurship, Religious Factors, Caring, Teacher Behavior
Yashasvi Walia; Rajnish Kumar Gupta – Cognitive Research: Principles and Implications, 2025
Cognitive conflict and risk-taking behaviors are linked in complex ways. This study examined whether threat sensitivity explains the relationship between conflict monitoring and risk-taking in young adults. A sample of 204 university students (ages 18-25, mean = 20.55, SD = 2.14) completed a computerized Stroop task (cognitive conflict), the RT-18…
Descriptors: Foreign Countries, Young Adults, College Students, Interference (Learning)
Shunsuke Yoneda; Valdemar Švábenský; Gen Li; Daisuke Deguchi; Atsushi Shimada – International Educational Data Mining Society, 2025
Digital textbooks are widely used in various educational contexts, such as university courses and online lectures. Such textbooks yield learning log data that have been used in numerous educational data mining (EDM) studies for student behavior analysis and performance prediction. However, these studies have faced challenges in integrating…
Descriptors: Higher Education, College Students, Prediction, Textbooks
Jijia Yang; Yan Chen; Yunsong Wang – European Journal of Education, 2025
Critical thinking (CT) is widely recognised as a core competency in 21st-century higher education, particularly within English as a Foreign Language (EFL) learning contexts. This study examines the extent to which motivation and engagement contribute to the development of CT skills among Chinese EFL university students. A sample of 626…
Descriptors: Learning Motivation, Learner Engagement, Critical Thinking, Second Language Learning
Lisa R. Hamrick; Olivia Boorom; Katiana Estrada; Nancy Brady; Bridgette Kelleher – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Communication complexity and communicative function are important features of prelinguistic communication that are related to later language outcomes. However, little is known about how these early prelinguistic features present in young children with neurogenetic syndromes (NGS). This study aims to characterize prelinguistic complexity…
Descriptors: Communication Skills, Infants, Toddlers, Genetic Disorders
Amy Bleakley; Erin K. Maloney; Michele Boehm; Allie White – Journal of Children and Media, 2025
This study uses an online experiment among 15-17-year-old participants (n = 566) to test whether adolescents' involvement with television characters (i.e. wishful identification, parasocial interaction, perceived age similarity, attraction) varied based on character age (teen or adult), and whether involvement moderated the relationship between…
Descriptors: Adolescents, Television Viewing, Popular Culture, Age Differences
Li Chen; Taniguchi Yuta; Atsushi Shimada; Masanori Yamada – Technology, Knowledge and Learning, 2025
In this study, a collaborative problem solving-based STEM course was implemented in a seventh-grade class. This study aimed to examine the effects of students' prior knowledge on their CPS-based STEM learning processes by using a mixed-methods approach. First, a lag sequential analysis was used to investigate individual cognitive and metacognitive…
Descriptors: Problem Based Learning, STEM Education, Problem Solving, Grade 7
Siddharth Srivastava; Kristina Johnson; Cristan Farmer; Tess Levy; Audrey Thurm; Latha Valluripalli Soorya; Rajna Filip-Dhima; Aisling Quinlan; Jonathan A. Bernstein; Elizabeth Berry-Kravis; Craig M. Powell; Joseph D. Buxbaum; Mustafa Sahin; Alexander Kolevzon – American Journal on Intellectual and Developmental Disabilities, 2025
Phelan-McDermid syndrome (PMS), caused by "SHANK3" haploinsufficiency, lacks natural history data. We report the trajectory of adaptive behavior from a prospective, longitudinal, natural history study. English-speaking people aged 3-21 years with a PMS molecular diagnosis were followed over 2 years. We analyzed longitudinal Vineland…
Descriptors: Genetic Disorders, Children, Adolescents, Young Adults
Krista N. Drapalik; Daniel J. Magin; Melissa L. Rinaldi; Kristin V. Christodulu – Autism: The International Journal of Research and Practice, 2025
Adolescence is a vulnerable developmental period for autistic youth. Autistic adolescents often use camouflaging to combat social challenges, perceived differences, and stigmatization. Although adolescence is an integral period for identity development, integration of these topics remains understudied in current literature. Evidence of elevated…
Descriptors: Females, LGBTQ People, Adolescents, Autism Spectrum Disorders

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