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Analysis of the Aesthetic Characteristics of College Students in the Age of Digital Art and Visualization in History Education

Bibliographic Data

ID22018960
AuthorsLi Yang (0000-0003-3852-3651, Krirk University), Xiaoli Yin (0009-0001-8388-7297, Krirk University)
Year2024
Volume7
Issue3
Pages53-67
Publication date2024-01-05
Open AccessYes
TypeARTICLE
VenueHerança (JOURNAL)
Journal identifiersISSN: 2184-3090 • E-ISSN: 2184-3090
PublisherUK Zhende Publishing Limited Company (PUBLISHER)
DOI10.52152/heranca.v7i3.800
OpenAlexW4405582184
LanguageEN

Digital technology's advancement has increased the visibility of digital art and traditional art heritage in the art world. It consists of a variety of artistic pursuits that leverage digital art tools and platforms, creating new avenues for artistic expression. The goal of the study is to comprehend how these digital art and traditional art heritage forms affect students' aesthetic enjoyment and to look at perceived advantages and disadvantages from both the viewpoints of college students and history teachers. The study also examines variances across various academic fields and artistic mediums as well as the long-term impacts on students' artistic growth and originality. To acquire comprehensive and in-depth insights, a qualitative research strategy was used. Fifteen college students from college were chosen through deliberate sampling for in-depth interviews. Interviews were used to gather the material, which was then thematically examined. To guarantee the reliability and validity of the results, the findings were triangulated and independently checked. The study found that second-degree creativity and short video culture have been heavily included into university courses on digital aesthetics. Different effects of short video culture were seen in different academic fields and artistic mediums

Aesthetics · Art · Mathematics education · Visual arts · Visualization · Computer Science · Digital Media and Visual Art · Ideological and Political Education · Innovative Educational Techniques · Psychology · Artificial Intelligence

Highly citedNo
Open DOIOpen Access
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