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Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis

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Bibliographic Details
Published in:International Journal of Modern Education and Computer Science
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Modern Education and Computer Science
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78410
institution FRELIP
journal_source_facet International Journal of Modern Education and Computer Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis
title_auth Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis
title_full Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis
title_fullStr Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis
title_full_unstemmed Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis
title_short Patterns and Predictors of Student Technological Proficiency in Heis: A Validated Instrument and Machine Learning Analysis
title_sort patterns and predictors of student technological proficiency in heis: a validated instrument and machine learning analysis
topic Computer Science
General
Computer Science
url https://www.mecs-press.org/ijmecs/ijmecs-v18-n3/v18n3-6.html