在線教育平臺學(xué)習(xí)質(zhì)量預(yù)測及影響因素分析

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摘要：本文基于線上教育平臺用戶的學(xué)習(xí)行為信息和班級信息，以用戶學(xué)習(xí)質(zhì)量為目標(biāo)變量，進(jìn)行了特征工程和屬性構(gòu)建，基于已有數(shù)據(jù)集生成了用戶學(xué)習(xí)過程信息，然后基于隨機(jī)森林模型計(jì)算各種信息對用戶學(xué)習(xí)質(zhì)量的影響，以發(fā)現(xiàn)線上用戶學(xué)習(xí)質(zhì)量的影響因素，為線上用戶學(xué)習(xí)和線上教育平臺開發(fā)課程提供支持。

關(guān)鍵詞：在線學(xué)習(xí)質(zhì)量；數(shù)據(jù)挖掘；影響因素分析

doi：10.3969/J.ISSN.1672-7274.2025.02.023

中圖分類號：G 434；TP 3          文獻(xiàn)標(biāo)志碼：A            文章編碼：1672-7274（2025）02-00-03

Prediction of Learning Quality and Analysis of Influencing Factors on Online Education Platforms

SONG Shuai

（Jinzhong Information College， Jinzhong 030600， China）

Abstract： Based on the learning behavior information and class information of online education platform users， this article conducts feature engineering and attribute construction with user learning quality as the target variable. User learning process information is generated based on existing datasets， and then the impact of each information on user learning quality is calculated using a random forest model to discover the influencing factors of online user learning quality and provide support for online user learning and online education platform course development.

Keywords： online learning quality; data mining; analysis of influencing factors

1   研究背景

當(dāng)前，隨著互聯(lián)網(wǎng)和移動(dòng)技術(shù)迅速發(fā)展，數(shù)字化教育正成為全球教育發(fā)展的重要趨勢。（剩余3398字）