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Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
EdChoice, 2023
This poll was conducted between August 18-August 27, 2023 among a national sample of 1,000 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Results from the full survey have a measure of precision of plus or minus 3.3 percentage points. Among the…
Descriptors: Adolescents, Gender Differences, Age Differences, Racial Differences
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L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
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Mohamed M. Mostafa – Interactive Learning Environments, 2023
Interactive Learning Environments (ILE) is a leading international journal in the design and use of interactive learning environments. In this study we conduct a comprehensive bibliometric analysis spanning three decades to objectively examine the journal's impactful authors, citation patterns, collaboration networks and emerging trends.…
Descriptors: Bibliometrics, Network Analysis, Developing Nations, Developed Nations
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Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
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Ahmad, Zahoor; Shahzadi, Erum – Bulletin of Education and Research, 2018
Universities play a remarkable role in the development of a country by producing skilled graduates for the country. Graduation rate is low as compared to the enrollment rate in the higher education institutions. Academic failure is main reason for non-degree completion. Students' retention and high academic performance are significant for…
Descriptors: Academic Achievement, Prediction, Artificial Intelligence, Undergraduate Students
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Avis, James – Journal of Vocational Education and Training, 2018
This literature review engages with a diverse and sometimes contradictory body of work, employing an analytic stance rooted in policy scholarship. It discusses rhetorical constructions of the Fourth Industrial Revolution (4th IR), locating these in understandings of the economy rooted in a neo-liberalism which rests upon a capitalist terrain. The…
Descriptors: Vocational Education, Industrialization, Neoliberalism, Social Systems
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Kukulska-Hulme, Agnes – Research-publishing.net, 2018
Despite efforts to increase participation in education across the globe, it remains an inaccessible right for millions of children and adults. Mobile learning, and specifically 'mobile assistance', can provide personal support to learners when teachers are scarce or learners have pressing individual goals. MASELTOV was a project which implemented…
Descriptors: Access to Education, Telecommunications, Handheld Devices, Educational Technology
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Sen, Ayon; Patel, Purav; Rau, Martina A.; Mason, Blake; Nowak, Robert; Rogers, Timothy T.; Zhu, Xiaojin – International Educational Data Mining Society, 2018
In STEM domains, students are expected to acquire domain knowledge from visual representations that they may not yet be able to interpret. Such learning requires perceptual fluency: the ability to intuitively and rapidly see which concepts visuals show and to translate among multiple visuals. Instructional problems that engage students in…
Descriptors: Visual Aids, Visual Perception, Data Analysis, Artificial Intelligence
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Reilly, Joseph M.; Ravenell, Milan; Schneider, Bertrand – International Educational Data Mining Society, 2018
In this paper, we describe the analysis of multimodal data collected on small collaborative learning groups. In a previous study, we asked pairs (N=84) with no programming experience to program a robot to solve a series of mazes. The quality of the dyad's collaboration was evaluated, and two interventions were implemented to support collaborative…
Descriptors: Cooperative Learning, Programming, Nonverbal Communication, Motion
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Gautam, Dipesh; Maharjan, Nabin; Graesser, Arthur C.; Rus, Vasile – International Educational Data Mining Society, 2018
This work is a step towards full automation of auto-mentoring processes in multi-player online environments such as virtual internships. We focus on automatically identifying speaker's intentions, i.e. the speech acts of chat utterances, in such virtual internships. Particularly, we explore several machine learning methods to categorize speech…
Descriptors: Speech Acts, Classification, Automation, Synchronous Communication
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Sean J. Smith; Amber Rowland; Samantha Goldman; Adam Carreon – Journal of Special Education Leadership, 2024
The purpose of this qualitative study was to understand, from the perspective of students with disabilities, what special education leaders and their respective classroom educators should consider in the integration of artificial intelligence (AI) features and tools to support individualized instruction. This study utilized an immersive and…
Descriptors: Special Education, Leaders, Artificial Intelligence, Technology Uses in Education
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Mohammad H. Al-khresheh – Language Teaching Research Quarterly, 2024
The integration of artificial intelligence (AI) into language instruction has presented new opportunities, with ChatGPT emerging as a promising tool for interactive and personalized learning. This systematic review examines the effectiveness, advantages, and drawbacks of the ChatGPT in English language teaching (ELT). To achieve this objective,…
Descriptors: Futures (of Society), Artificial Intelligence, Computer Software, Technology Uses in Education
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Andreas Gegenfurtner, Editor; Ingo Kollar, Editor – New Perspectives on Learning and Instruction, 2024
Bringing together the research of leading international scholars in the field of digital learning, "Designing Effective Digital Learning Environments" discusses cutting-edge advancements in digital technology and presents an evidence-informed summary of best practices for effective design principles and implementation within educational…
Descriptors: Instructional Design, Best Practices, Information Technology, Technology Integration
Editorial Projects in Education, 2025
Problem-based learning (PBL) offers a powerful approach to engage students in meaningful learning experiences by connecting classroom content to real-world challenges. This Spotlight explores how PBL can be implemented across K-12 to foster critical thinking, collaboration, and problem-solving skills. From preparing students for the workforce…
Descriptors: Problem Based Learning, Learning Experience, Kindergarten, Elementary Secondary Education
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