Data Mining for the Analysis of Student Assessment Results in Engineering by Applying Active Didactic Strategy

被引:0
|
作者
Baluarte-Araya, César [1 ]
Ramirez-Valdez, Oscar [1 ]
Suarez-Lopez, Ernesto [1 ]
Huertas-Niquén, Percy [1 ]
机构
[1] Universidad Nacional de San Agustín de Arequipa, Arequipa, Peru
关键词
Thanks to the Universidad Nacional de San Agustín de Arequipa for the support it provides for the development and implementation of proposals that benefit the continuous improvement of student performance through the application of Active Teaching Strategies; with beneficial results for students as well as the teaching-learning process;
D O I
10.14569/IJACSA.2024.0150921
中图分类号
学科分类号
摘要
29
引用
收藏
页码:220 / 228
相关论文
共 50 条
  • [1] Analysis of Student Performance Applying Data Mining Techniques in a Virtual Learning Environment
    Aguagallo L.
    Salazar-Fierro F.
    García-Santillán J.
    Posso-Yépez M.
    Landeta-López P.
    García-Santillán I.
    [J]. International Journal of Emerging Technologies in Learning, 2023, 18 (11) : 175 - 195
  • [2] Applying Data Mining in Score Analysis
    Liu, Yi
    [J]. ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 1, 2012, 159 : 175 - 180
  • [3] Multidimensional Assessment Results Data Mining and Analysis for Courses of Science
    Wang Jie-feng
    [J]. 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS), 2016, : 519 - 522
  • [4] APPLYING PREDICTIVE DATA MINING STRATEGIES TO TOXICITY ASSESSMENT
    Yang, Chihae
    [J]. DRUG METABOLISM REVIEWS, 2007, 39 : 7 - 7
  • [5] Data mining in mining engineering: results of classification and clustering of shovels failures data
    Dindarloo, Saeid R.
    Siami-Irdemoosa, Elnaz
    [J]. INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, 2017, 31 (02) : 105 - 118
  • [6] Applying Data Mining Techniques to Predict Student Dropout: A Case Study
    Perez, Boris
    Castellanos, Camilo
    Corneal, Dario
    [J]. 2018 IEEE 1ST COLOMBIAN CONFERENCE ON APPLICATIONS IN COMPUTATIONAL INTELLIGENCE (COLCACI), 2018,
  • [7] ANALYSIS OF A DATA MINING BASED STUDENT DATA COLLECTION
    Ayyavaraiah, Monelli
    [J]. PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2019), 2019,
  • [8] USING DATA MINING TECHNOLOGY FOR STUDENT DATA ANALYSIS
    Zuka, Rita
    Krasts, Juris
    Rozevskis, Uldis
    [J]. NEW CHALLENGES OF ECONOMIC AND BUSINESS DEVELOPMENT - 2017: DIGITAL ECONOMY, 2017, : 755 - 763
  • [9] Analyzing Student Performance in Engineering Placement Using Data Mining
    Agarwal, Krishnanshu
    Maheshwari, Ekansh
    Roy, Chandrima
    Pandey, Manjusha
    Rautray, Siddharth Swarup
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA ENGINEERING (ICCIDE 2018), 2019, 28 : 171 - 181
  • [10] Mining association rules in student's assessment data
    Kumar, Varun
    Chadha, Anupama
    [J]. International Journal of Computer Science Issues, 2012, 9 (5 5-3): : 211 - 216