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Miroslava Tokovská; Dominika Doktorová; Jana Šolcová – Journal of Social Studies Education Research, 2024
The ability to learn new skills as an adult, cognitive stimulation in the ageing process, and a cognitively active lifestyle are of interest to experts in education, public health, and social studies. The game Scrabble, with its enjoyable nature, has gained recognition as an educational resource that facilitates the acquisition and preservation of…
Descriptors: Brain, Educational Games, Older Adults, Adults
Reynald M. Cacho – Online Learning, 2024
The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on the AI Ecological Education Policy Framework, the guidelines offer a suggestive…
Descriptors: Artificial Intelligence, College Instruction, Learning Processes, Guidelines
Kari L. George; Kaitlin N. S. Newhouse – Research in Higher Education, 2024
Given a myriad of recent contemporary challenges graduate students are facing as well as long-standing issues with student attrition, there is a pressing need to reexamine models of doctoral student progress. While existing research commonly examines departure or failure to meet milestones as the outcome of interest, by the time students leave…
Descriptors: Doctoral Students, Academic Persistence, Progress Monitoring, Barriers
Xiaojia Wang; Rickard Enstroem – Decision Sciences Journal of Innovative Education, 2024
Information flow is one of the three main flows of supply chains. It is an abstract concept that can be challenging for students to grasp in its entirety. This article describes a role-playing game for teaching the topic of information flow in an undergraduate supply chain management course. The game allows students to simulate receiving and…
Descriptors: Role Playing, Educational Games, Undergraduate Study, Economics Education
Laduona Dai; Veronika Kritskaia; Evelien van der Velden; Reinder Vervoort; Marlieke Blankendaal; Merel M. Jung; Marie Šafár Postma; Max M. Louwerse – Journal of Computer Assisted Learning, 2024
Background: The integration of Text-to-Speech (TTS) and virtual reality (VR) technologies in K-12 education is an emerging trend. However, little is known about how students perceive these technologies and whether these technologies effectively facilitate learning. Objectives: This study aims to investigate the perception and effectiveness of TTS…
Descriptors: Computer Simulation, Assistive Technology, Elementary Education, Technology Uses in Education
Adelson de Araujo; Pantelis M. Papadopoulos; Susan McKenney; Ton de Jong – Journal of Computer Assisted Learning, 2024
Background: Sustaining productive student-student dialogue in online collaborative inquiry learning is challenging, and teacher support is limited when needed in multiple groups simultaneously. Collaborative conversational agents (CCAs) have been used in the past to support student dialogue. Yet, research is needed to reveal the characteristics…
Descriptors: Learning Analytics, Computer Mediated Communication, Artificial Intelligence, Dialogs (Language)
Alexa Deyo; Josh Wallace; Katherine M. Kidwell – Journal of American College Health, 2024
Objective: To examine how time spent on handheld screens was related to internalizing mental health symptoms in college students and whether time spent in nature was associated with fewer mental health symptoms. Participants: Three hundred seventy-two college students (M[subscript age] = 19.47 ± 1.74, 63.8% female; 62.8% college freshman).…
Descriptors: Handheld Devices, Telecommunications, Computer Use, Mental Health
Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
Sam Maesschalck – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper explores the potential value of critical thinking in computer science education and discusses strategies for its integration across the curriculum. Background: As technology rapidly evolves and becomes increasingly integrated into society, there is a growing need for computer science graduates who can think critically about…
Descriptors: Computer Science Education, Critical Thinking, Integrated Curriculum, Curriculum Development
Lae Lae Shwe; Sureena Matayong; Suntorn Witosurapot – Education and Information Technologies, 2024
Multiple Choice Questions (MCQs) are an important evaluation technique for both examinations and learning activities. However, the manual creation of questions is time-consuming and challenging for teachers. Hence, there is a notable demand for an Automatic Question Generation (AQG) system. Several systems have been created for this aim, but the…
Descriptors: Difficulty Level, Computer Assisted Testing, Adaptive Testing, Multiple Choice Tests
Jasmina Rosic; Lara Schreurs; Sophie H. Janicke-Bowles; Laura Vandenbosch – Child Development, 2024
Digital flourishing refers to the positive perceptions of digital communication use in five dimensions: connectedness, positive social comparison, authentic self-presentation, civil participation, and self-control. This three-wave panel study among 1081 Slovenian adolescents (M[subscript age] = 15.34 years, 53.8% boys, 80.7% ethnic majority)…
Descriptors: Foreign Countries, Adolescents, Computer Mediated Communication, Interpersonal Relationship
Ramon Mayor Martins; Christiane G. Von Wangenheim; Marcelo F. Rauber; Adriano F. Borgatto; Jean C. R. Hauck – ACM Transactions on Computing Education, 2024
As Machine Learning (ML) becomes increasingly integrated into our daily lives, it is essential to teach ML to young people from an early age including also students from a low socioeconomic status (SES) background. Yet, despite emerging initiatives for ML instruction in K-12, there is limited information available on the learning of students from…
Descriptors: Artificial Intelligence, Computer Science Education, Socioeconomic Status, Correlation
Jens Dörpinghaus; Johanna Binnewitt; David Samray; Kristine Hein – ACM Transactions on Computing Education, 2024
Objectives: The purpose of this study is to reveal the importance of informatics in continuing vocational education in Germany. The labour market is a field with diverse data structures and multiple applications, for example connecting jobseekers and trainings or jobs. The labour market heavily relies on vocational education and training and…
Descriptors: Foreign Countries, Information Science Education, Computer Science Education, Vocational Education
Ruby S. Chanda; Vanishree Pabalkar; Sarika Sharma – Journal of Applied Research in Higher Education, 2024
Purpose: This study aims to understand and analyze the aspects influencing students' attitudes and behavior toward the use of metaverse in education. The metaverse is currently viewed as technology with immense prospects. However, the practice of the metaverse for educational motives is rarely deliberated. Design/methodology/approach: To assess…
Descriptors: Undergraduate Students, Graduate Students, Artificial Intelligence, Computer Simulation
Ashwaq Alsoubai – ProQuest LLC, 2024
Computational risk detection holds promise for shielding particularly vulnerable groups from online harm. A thorough literature review on real-time computational risk detection methods revealed that most research defined 'real-time' as approaches that analyze content retrospectively as early as possible or as preventive approaches to prevent risks…
Descriptors: Adolescents, Algorithms, Time, Computer Mediated Communication

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