Results 71 to 80 of about 900,550 (188)

Deep Learning in Recommender Systems

Future Internet
Recommender systems have undertaken significant advances over the last years, evolving from collaborative filtering techniques to deep learning architectures capable of modeling complex and multimodal interactions [...]
María N. Moreno-García, Fernando de la Prieta   +1 more
doaj   +1 more source

Role of FCBF Feature Selection in Educational Data Mining

Mehran University Research Journal of Engineering and Technology, 2020
The Educational Data Mining (EDM) is a very vigorous area of Data Mining (DM), and it is helpful in predicting the performance of students. Student performance prediction is not only important for the student but also helpful for academic organization to
Maryam Zaffar, Manzoor Ahmad Hashmani, K.S. Savita, Syed Sajjad Hussain Rizvi, Mubashar Rehman   +4 more
doaj   +1 more source

Unveiling educational patterns at a regional level in Colombia: data from elementary and public high school institutions

Heliyon, 2021
Even though the field of Learning Analytics (LA) has experienced an expressive growth in the last few years. The vast majority of the works found in literature are usually focusing on experimentation of techniques and methods over datasets restricted to ...
Emilcy Hernández-Leal, Néstor Darío Duque-Méndez, Cristian Cechinel   +2 more
doaj   +1 more source

Educational Data Mining: Employing Machine Learning Techniques and Hyperparameter Optimization to Improve Students' Academic Performance

Int. J. Online Biomed. Eng.
Educational data mining (EDM) is a specialized field within data mining that focuses on extracting valuable insights from academic data across high school and university levels. A common practice in EDM involves predicting students’ grades to identify at-
Mohamed Bellaj, Ahmed Ben Dahmane, Said Boudra, M. L. Sefian   +3 more
semanticscholar   +1 more source

Application of Data Mining Techniques in Determining the Accuracy of the Models Predicting the Student Academic failure

Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām, 2020
Introduction: Student academic failure is one of the shortcomings of higher education system. A system with the ability to predict and prevent the academic failure can play a decisive role in enhancing the quality of education.
Azadeh Fadavi, Keyvan Salehi, Ebrahim Khodaie, Ali Moghadamzadeh, Mohammad Javadipour   +4 more
doaj  

Proactive forecasting of student academic outcomes via Random Forest and cumulative learning data

Vietnam Journal of Science, Technology and Engineering
This study develops a Random Forest-based predictive framework to forecast course outcomes for Information Technology students at Binh Duong University using institutional academic records.
Tri Nhut Do, Ngoc Mai Nguyen Thi
doaj   +1 more source

Academic dissatisfaction in teacher evaluation: a natural language processing approach and multimodal semantic analysis for the generation of pedagogical evidence

Frontiers in Education
This study converts student voices into actionable pedagogical evidence through a Spanish-language NLP pipeline that integrates Likert-type evaluation items and open-ended comments from 411 master's students in business sciences.
Gary Christiam Farfán Chilicaus, Alexander Fernando Haro Sarango, Myriam Johanna Naranjo Vaca, Persi Vera Zelada, Luis Alberto Vera Zelada, Gladys Sandi Licapa Redolfo, Rolando Licapa Redolfo, Maríbel Amalia Carmen Sarango, Esteban Joaquin Durand Gonzáles   +8 more
doaj   +1 more source

Integration of Data Mining Clustering Approach in the Personalized E-Learning System

IEEE Access, 2018
Educational data-mining is an evolving discipline that focuses on the improvement of self-learning and adaptive methods. It is used for finding hidden patterns or intrinsic structures of educational data. In the arena of education, the heterogeneous data
Samina Kausar, Xu Huahu, Iftikhar Hussain, Zhu Wenhao, Misha Zahid   +4 more
doaj   +1 more source

Data Mining in Educational Data – Useful Tool for Sustainable Learning Development

EIRP Proceedings, 2021
Transforming data to knowledge can be realized through data mining methods, and that is a continuous challenge to discover helpful information in huge data sets.
Corina Simionescu, Mirela Danubianu, Corneliu Octavian Turcu   +2 more
doaj  

Methods of teaching educational data mining for pedagogical students

Открытое образование (Москва), 2019
The aim of the article is to discuss and argue teaching educational data mining for pedagogical stu-dents and to describe the methodical system of educational data mining teaching for students with a middle level of mathematical and IT disciplines, that ...
E. A. Terbusheva
doaj   +1 more source