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Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Students’ Performance in Programming Courses

机译：基于移动接口机器学习的预测模型的开发，提高学生在编程课程中的表现

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Fagbola Temitayo Matthew; Adeyanju Ibrahim; Oloyede Ayodele; Obe Olumide; Olaniyan Olatayo; Esan Adebimpe; Omodunbi Bolaji; Egbetola Funmilola;
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1. DEVELOPMENT OF ROBUST AND COST-EFFECTIVE PREDICTIVE MODELS FOR IMPROVING STUDENTS’ PERFORMANCE IN PROGRAMMING COURSES [J] . Temitayo Fagbola, Oluyinka Akintayo, Olatayo Olaniyan, Computer Sciences and Telecommunications . 2018,第1期

机译：鲁棒性和成本有效的预测模型的开发，以提高学生在编程课程中的表现
2. Student Performance in First-Year Math and Physics Courses as Predictor of Student Dropout in Engineering Programs [J] . Pinheiro Sandra Ma C., Oliveira-Esquerre Karla, Martins Marcio A. F., The international journal of engineering education . 2021,第2期

机译：第一年数学和物理课程的学生表现是工程计划中学生辍学的预测因素
3. CORRELATES OF SUCCESS IN JAVA PROGRAMMING: PREDICTING THE PERFORMANCE OF STUDENTS IN A JAVA COURSE FROM THE RESULTS OF LOWER LEVEL COURSES [J] . BASHIR S GALADANCI, MARYAM I MUKHTAR, SANAH A MUAZ Journal of Theoretical and Applied Information Technology . 2019,第6期

机译：JAVA编程成功的相关性：从较低级别的课程结果中预测Java课程中学生的表现
4. Diversifying activities to improve student performance in programming courses [C] . Scheila Wesley Martins, Antonio Jose Mendes, Antonio Dias Figueiredo International conference on computer systems and technologies and workshop for PhD students in computing 2010 . 2010

机译：开展各种活动以提高学生在编程课程中的表现
5. Predicting student performance in introductory computer programming courses [D] . Doane, William E. J. 2008

机译：预测计算机编程入门课程中的学生表现
6. Development and validation of a machine learning-based predictive model to improve the prediction of inguinal status of anal cancer patients: A preliminary report [O] . Berardino De Bari, Mauro Vallati, Roberto Gatta, 2017

机译：基于机器学习的预测模型的开发和验证以改善对肛门癌患者腹股沟状态的预测：初步报告
7. Improving Students Performance in Small-Scale Online Courses - A Machine Learning-Based Intervention [O] . Sepinoud Azimi, Carmen-Gabriela Popa, Tatjana Cucić 2020

机译：在小型在线课程中提高学生表现 - 基于机器学习的干预
8. Learning-based Nonlinear Model Predictive Control to Improve Vision-based Mobile Robot Path Tracking. [R] . Ostafew, C. J., Collier, J., Schoellig, A. P., 2015

机译：基于学习的非线性模型预测控制改进基于视觉的移动机器人路径跟踪。

Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Students’ Performance in Programming Courses

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