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Han Zhang; Yilang Peng – Sociological Methods & Research, 2024
Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…
Descriptors: Social Science Research, Visual Aids, Visual Learning, Cluster Grouping
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Raiyn, Jamal – Journal of Education and Practice, 2016
Various concepts have been introduced to improve students' analytical thinking skills based on problem based learning (PBL). This paper introduces a new concept to increase student's analytical thinking skills based on a visual learning strategy. Such a strategy has three fundamental components: a teacher, a student, and a learning process. The…
Descriptors: Visual Learning, Thinking Skills, Student Improvement, Elementary School Students
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Romero-Hall, E.; Watson, G. S.; Adcock, A.; Bliss, J.; Adams Tufts, K. – Journal of Computer Assisted Learning, 2016
This research assessed how emotive animated agents in a simulation-based training affect the performance outcomes and perceptions of the individuals interacting in real time with the training application. A total of 56 participants consented to complete the study. The material for this investigation included a nursing simulation in which…
Descriptors: Simulated Environment, Animation, Computer Uses in Education, Educational Technology
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Waller, Sharon, Ed. – IntechOpen, 2021
Today's educators stand at the crossroads of globalization and technology. The world is rapidly shrinking. The workplace is being transformed before our very eyes. Technology is forever changing the way we perceive reality and the way we do business. Educators are required to equip students for a workplace that has yet to emerge. The skill sets of…
Descriptors: Global Approach, Technological Advancement, Career Readiness, Libraries
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Dzekoe, Richmond – Language Learning & Technology, 2017
This study investigated how 22 advanced-low proficiency ESL students used computer-based multimodal composing activities (CBMCAs) to facilitate self-revision and learn English through academic writing in the USA. The CBMCAs involved a combination of writing, listening, visual analysis, and speaking activities. The research was framed within an…
Descriptors: Undergraduate Students, Second Language Learning, English Language Learners, Writing (Composition)