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Qing Zhang – Science Insights Education Frontiers, 2024
This article aims to investigate the impact of mentalized affectivity on negative emotions among Chinese college students based on a questionnaire survey of 899 university students. The study adopts a mentalized affectivity scale, an internet altruistic behavior scale, and a self-analysis questionnaire. The study's findings reveal a negative…
Descriptors: Foreign Countries, College Students, Social Behavior, Altruism
Alicia H. Sitren – Journal on Excellence in College Teaching, 2024
Experiential learning is an important component of a criminal justice education. To date, the use of virtual technologies as a form of experiential learning has not been tested. To address this gap, a virtual tour detailing mental illness occurring in prison was provided to undergraduate students in five criminal justice courses taught in two U.S.…
Descriptors: Computer Simulation, Experiential Learning, Criminology, Correctional Rehabilitation
Tara Coppinger; Con Burns; Mai O'Leary; Louise Fleming; Seán Lacey; Aoife L. McCarthy – Irish Educational Studies, 2024
The International Survey of Children's Wellbeing (ISCWeB) is the most wide-ranging and diverse study ever conducted internationally on children from their own perspective. The aim of this study was to pilot the ISCWeB among primary schoolchildren in Ireland to examine their subjective wellbeing and examine the relationship between subjective…
Descriptors: Foreign Countries, Elementary School Students, Well Being, Life Satisfaction
Pamela Michel-Acosta; Josefina Pepín-Ubrí; Jeanette Chaljub-Hasbún – Journal of New Approaches in Educational Research, 2024
Introduction: The Dominican Republic, due to its nature as a Small Island Developing State (SIDS), faces several challenges in the face of extreme weather phenomena such as hurricanes. Therefore, integrating technologies such as Augmented Reality (AR) in teaching these topics in class can influence student motivation and improve learning. Aim:…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Physical Environment, Simulated Environment
Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
Don Passey; Jean Gabin Ntebutse; Manal Yazbak Abu Ahmad; Janet Cochrane; Simon Collin; Asmaa Ganayem; Elizabeth Langran; Sadaqat Mulla; Maria Mercedes Rodrigo; Toshinori Saito; Miri Shonfeld; Saunand Somasi – Technology, Knowledge and Learning, 2024
This conceptual paper draws on a wide range of research and policy literature, providing a contemporary view of issues, factors and practices that affect education for digitally excluded populations. Concern for how education for digitally excluded populations can be supported is focal to this paper, with different sections offering key related…
Descriptors: Inclusion, Access to Computers, Access to Education, Minority Group Students
Alvaro M. Lozano-Tarazona; Diego Mauricio Rivera Pinzón – Interactive Learning Environments, 2024
This study is related to the transfer of the header motor skill in soccer from a virtual reality (VR) sport's training to the real world. A total of 61 children (37 females) between 9 and 11 years of age were distributed into three groups: a control group without training; a second group that was trained in an original VR environment developed by…
Descriptors: Team Sports, Psychomotor Skills, Skill Development, Computer Simulation
Gulnur Tyulepberdinova; Madina Mansurova; Talshyn Sarsembayeva; Sulu Issabayeva; Darazha Issabayeva – Journal of Computer Assisted Learning, 2024
Background: This study aims to assess how well several machine learning (ML) algorithms predict the physical, social, and mental health condition of university students. Objectives: The physical health measurements used in the study include BMI (Body Mass Index), %BF (percentage of Body Fat), BSC (Blood Serum Cholesterol), SBP (Systolic Blood…
Descriptors: Artificial Intelligence, Algorithms, Predictor Variables, Physical Health
Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
Towards Automatic Question Generation Using Pre-Trained Model in Academic Field for Bahasa Indonesia
Derwin Suhartono; Muhammad Rizki Nur Majiid; Renaldy Fredyan – Education and Information Technologies, 2024
Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…
Descriptors: Foreign Countries, Computational Linguistics, Computer Software, Questioning Techniques
Hussein Sabra; Theresia Tabchi – ZDM: Mathematics Education, 2024
This contribution explores the teaching of graph theory in the context of engineering education. We examine how teachers use collectively designed resources in terms of their backgrounds. After a literature review, we justify the choice to develop an analytical framework for studying the materials in terms of connections to be established in the…
Descriptors: Foreign Countries, Graphs, Engineering Education, Computer Science
Yun Nga Choy; Eva Yi Hung Lau; Dandan Wu – Education and Information Technologies, 2024
Digital parenting refers to the parenting practices that maximize the benefits and minimize potential risks of children's interactions with digital media and online spaces. Balancing the pros and cons of early digital usage is a challenge for many caregivers. This scoping review synthesizes evidence regarding digital parenting practices and their…
Descriptors: Parenting Styles, Parenting Skills, Computer Use, Educational Technology
Sibley F. Lyndgaard; Corey E. Tatel; Victoria Pham; Julia E. Melkers; Ruth Kanfer – International Journal of Lifelong Education, 2024
For adults engaged in formal learning, self-efficacy judgements may have substantial impact on key learning attitudes and outcomes. A complex systems/person-centric perspective emphasises the importance of contextual features of adult life, yet extant study of self-efficacy is largely constrained to judgements of competence in course activities.…
Descriptors: Self Efficacy, Adults, Masters Programs, Graduate Students
Andrea Trudeau; Ying Xie; Olha Ketsman; Cindy York; Sandrine Goldsmith – TechTrends: Linking Research and Practice to Improve Learning, 2024
This mixed-methods study explored the impact of cinematic virtual reality (CVR) on seventh-grade students (n = 66) in a school library. The research was comprised of two phases, integrating data from questionnaires and student/teacher interviews. The study focused on "The Displaced," a documentary about child refugees, presented in two…
Descriptors: Adolescents, Student Attitudes, Computer Simulation, Technology Uses in Education
Sijia Chen; Jan-Louis Kruger – Interpreter and Translator Trainer, 2024
Following a preliminary study that examined the potential effectiveness of a computer-assisted consecutive interpreting (CACI) mode, this paper presents a further trial of the CACI workflow. The workflow involves respeaking using speech recognition (SR) in phase I and production assisted by the SR text and its machine translation (MT) output in…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Translation, Speech Communication

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