4 datasets found
  1. View on effectiveness of online learning over in-person schooling...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). View on effectiveness of online learning over in-person schooling Philippines 2021 [Dataset]. https://www.statista.com/statistics/1262427/philippines-view-on-effectiveness-of-distance-learning-compared-to-face-to-face-schooling/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 4, 2021 - Apr 13, 2021
    Area covered
    Philippines
    Description

    According to a survey in 2021, ** percent of Filipino respondents perceive the current distance learning model was around ** to ** percent effective. On the other hand, ** percent of respondents stated that such learning model is ** to 100 percent effective. Distance learning had been implemented in the Philippines as a precaution towards the spread of the coronavirus (COVID-19).

  2. k

    Philippines E Learning Market Outlook to 2030

    • kenresearch.com
    pdf
    Updated Apr 15, 2019
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    Ken Research (2019). Philippines E Learning Market Outlook to 2030 [Dataset]. https://www.kenresearch.com/industry-reports/philippines-e-learning-market
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    pdfAvailable download formats
    Dataset updated
    Apr 15, 2019
    Dataset authored and provided by
    Ken Research
    License

    https://www.kenresearch.com/terms-and-conditionshttps://www.kenresearch.com/terms-and-conditions

    Area covered
    Philippines
    Description

    The Philippines E-Learning Market outlines sourcing strategies, compliance trends, and adoption trends to support effective planning and strategic initiatives.

  3. f

    Data from: R square.

    • plos.figshare.com
    xls
    Updated Dec 31, 2024
    + more versions
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    Anthony Vicente M. Belo; Yogi Tri Prasetyo; Ralph Andre C. Roque; Omar Paolo Benito; Maela Madel L. Cahigas; Ma. Janice J. Gumasing; Rianina D. Borres; Reny Nadlifatin (2024). R square. [Dataset]. http://doi.org/10.1371/journal.pone.0308180.t008
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    xlsAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Anthony Vicente M. Belo; Yogi Tri Prasetyo; Ralph Andre C. Roque; Omar Paolo Benito; Maela Madel L. Cahigas; Ma. Janice J. Gumasing; Rianina D. Borres; Reny Nadlifatin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Aviation College is a higher education institution that shifted to e-Learning as the education platform during the COVID-19 Pandemic. This shift has posed challenges, especially in developing countries like the Philippines. This study aims to evaluate students’ intentions toward using an e-learning platform at a collegiate aviation institution during the pandemic by employing an integrated extended Technology Acceptance Model (TAM) and Seddon’s Information System (IS) Success Model. The study involved 503 college students who completed an online questionnaire with 48 items representing 12 constructs. Structural Equation Modeling (SEM) was utilized to analyze the relationships between variables under extended TAM and IS Success Model. The findings revealed that attitude toward use had the strongest influence on behavioral intention, followed by perceived playfulness. Learning outcomes significantly impacted perceived usefulness, along with information quality, perceived ease of use, and system quality. Additionally, learning outcomes had the greatest effect on user satisfaction, followed by perceived usefulness, information quality, and system quality. Perceived usefulness had a more substantial impact on attitude toward use than perceived ease of use. Regarding perceived ease of use, system quality was the most influential factor, followed by computer self-efficacy and course design. The proposed framework enhances understanding of the relationship between technology adoption theory and the IS success model. The study’s findings can help policymakers, software developers, and educators improve the e-learning process and maintain the quality of education.

  4. f

    Construct validity and reliability.

    • plos.figshare.com
    xls
    Updated Dec 31, 2024
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    Anthony Vicente M. Belo; Yogi Tri Prasetyo; Ralph Andre C. Roque; Omar Paolo Benito; Maela Madel L. Cahigas; Ma. Janice J. Gumasing; Rianina D. Borres; Reny Nadlifatin (2024). Construct validity and reliability. [Dataset]. http://doi.org/10.1371/journal.pone.0308180.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Anthony Vicente M. Belo; Yogi Tri Prasetyo; Ralph Andre C. Roque; Omar Paolo Benito; Maela Madel L. Cahigas; Ma. Janice J. Gumasing; Rianina D. Borres; Reny Nadlifatin
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Aviation College is a higher education institution that shifted to e-Learning as the education platform during the COVID-19 Pandemic. This shift has posed challenges, especially in developing countries like the Philippines. This study aims to evaluate students’ intentions toward using an e-learning platform at a collegiate aviation institution during the pandemic by employing an integrated extended Technology Acceptance Model (TAM) and Seddon’s Information System (IS) Success Model. The study involved 503 college students who completed an online questionnaire with 48 items representing 12 constructs. Structural Equation Modeling (SEM) was utilized to analyze the relationships between variables under extended TAM and IS Success Model. The findings revealed that attitude toward use had the strongest influence on behavioral intention, followed by perceived playfulness. Learning outcomes significantly impacted perceived usefulness, along with information quality, perceived ease of use, and system quality. Additionally, learning outcomes had the greatest effect on user satisfaction, followed by perceived usefulness, information quality, and system quality. Perceived usefulness had a more substantial impact on attitude toward use than perceived ease of use. Regarding perceived ease of use, system quality was the most influential factor, followed by computer self-efficacy and course design. The proposed framework enhances understanding of the relationship between technology adoption theory and the IS success model. The study’s findings can help policymakers, software developers, and educators improve the e-learning process and maintain the quality of education.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). View on effectiveness of online learning over in-person schooling Philippines 2021 [Dataset]. https://www.statista.com/statistics/1262427/philippines-view-on-effectiveness-of-distance-learning-compared-to-face-to-face-schooling/
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View on effectiveness of online learning over in-person schooling Philippines 2021

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Apr 4, 2021 - Apr 13, 2021
Area covered
Philippines
Description

According to a survey in 2021, ** percent of Filipino respondents perceive the current distance learning model was around ** to ** percent effective. On the other hand, ** percent of respondents stated that such learning model is ** to 100 percent effective. Distance learning had been implemented in the Philippines as a precaution towards the spread of the coronavirus (COVID-19).

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