A Systematic Review of Educational Data Mining

被引：1

作者：

Xu, FangYao ^{[1
]}

Li, ZhiQiang ^{[2
]}

Yue, JiaQi ^{[3
]}

Qu, ShaoJie ^{[2
]}

机构：

[1] Beijing Inst Technol, Sch Math & Stat, Beijing, Peoples R China

[2] Beijing Inst Technol, Network & Informat Ctr, Beijing, Peoples R China

[3] Beijing Inst Technol, Sch Comp Sci, Beijing, Peoples R China

来源：

INTELLIGENT COMPUTING, VOL 2 | 2021年 / 284卷

关键词：

Improving classroom teaching; Pedagogical issues; Media in education; BIG DATA; PERFORMANCE; STUDENTS; ONLINE; CLASSIFICATION; ACCEPTANCE; ENGAGEMENT; PREDICTION; TEACHERS; LEARNERS;

D O I：

10.1007/978-3-030-80126-7_54

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As an important part of data mining, educational data mining (EDM) has played a significant role in the field of education. This article reviews the development process of EDM, summarizes limited research directions of EDM from the past five years, and analyses the motivation and purpose of these studies, including the problems that have been solved. Next, the tools and algorithms used are introduced according to the referenced literature. Finally, this article discusses and summarizes further research directions based on previous research results and some thoughts with the hopes of offering researchers future research directions.

引用

页码：764 / 780

页数：17

共 50 条

[31] Data mining techniques applied in educational environments: Literature review
Villanueva Manjarres, Andres
Moreno Sandoval, Luis Gabriel
Salinas Suarez, Martha Janneth
DIGITAL EDUCATION REVIEW, 2018, (33): : 235 - 266
[32] A Systematic Review on Data Mining for Mathematics and Science Education
Dongjo Shin
Jaekwoun Shim
International Journal of Science and Mathematics Education, 2021, 19 : 639 - 659
[33] Scholarly data mining: A systematic review of its applications
Dridi, Amna
Gaber, Mohamed Medhat
Azad, R. Muhammad Atif
Bhogal, Jagdev
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2021, 11 (02)
[34] Semantic data mining in the information age: A systematic review
Sirichanya, Chanmee
Kraisak, Kesorn
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 36 (08) : 3880 - 3916
[35] A Systematic Review on Data Mining for Mathematics and Science Education
Shin, Dongjo
Shim, Jaekwoun
INTERNATIONAL JOURNAL OF SCIENCE AND MATHEMATICS EDUCATION, 2021, 19 (04) : 639 - 659
[36] Prediction of delirium using data mining: A systematic review
Chua, S. J.
Wrigley, S.
Hair, C.
Sahathevan, R.
JOURNAL OF CLINICAL NEUROSCIENCE, 2021, 91 : 288 - 298
[37] Adaptations of data mining methodologies: a systematic literature review
Plotnikova, Veronika
Dumas, Marlon
Milani, Fredrik
PEERJ COMPUTER SCIENCE, 2020,
[38] Educational data mining and learning analytics: a review of educational management in e-learning
Rabelo, Anaile
Rodrigues, Marcos W.
Nobre, Cristiane
Isotani, Seiji
Zarate, Luis
INFORMATION DISCOVERY AND DELIVERY, 2024, 52 (02) : 149 - 163
[39] Adaptations of data mining methodologies: A systematic literature review
Plotnikova V.
Dumas M.
Milani F.
Plotnikova, Veronika (veronika.plotnikova@ut.ee), 1600, PeerJ Inc. (06): : 1 - 43
[40] Regression Method in Data Mining: A Systematic Literature Review
Sebt, Mohammad Vahid
Sadati-Keneti, Yaser
Rahbari, Misagh
Gholipour, Zohreh
Mehri, Hamid
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2024, 31 (06) : 3515 - 3534

← 1 2 3 4 5 →