• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 170 matches

• 2022
• 
  Guiyun Feng, Muwei Fan, Yu Chen:
  Analysis and Prediction of Students' Academic Performance Based on Educational Data Mining. IEEE Access 10: 19558-19571 (2022)
• 
  Jana Chi-San Ho, Yu-Sheng Hung, Letty Y.-Y. Kwan:
  The impact of peer competition and collaboration on gamified learning performance in educational settings: a Meta-analytical study. Educ. Inf. Technol. 27(3): 3833-3866 (2022)
• 
  Said Mohammed Alrashdi, Nour Eldin Mohamed Elshaiekh:
  Designing an IoT Framework to Improve Student Assessment Performance in the Oman Educational Portal. Int. J. Innov. Digit. Econ. 13(1): 1-12 (2022)
• 
  Ihab Ahmed Najm, Jasim Mohammed Dahr, Alaa Khalaf Hamoud, Ali Salah Hashim, Wid Akeel Awadh, Mohammed B. M. Kamel, Aqeel Majeed Humadi:
  OLAP Mining with Educational Data Mart to Predict Students' Performance. Informatica (Slovenia) 46(5) (2022)
• 
  Mohammed Nasiru Yakubu, Abubakar Mohammed Abubakar:
  Applying machine learning approach to predict students' performance in higher educational institutions. Kybernetes 51(2): 916-934 (2022)
• 
  Bilal I. Al-Ahmad, Ala' A. Al-Zoubi, Md Faisal Kabir, Marwan Al-Tawil, Ibrahim Aljarah:
  Swarm intelligence-based model for improving prediction performance of low-expectation teams in educational software engineering projects. PeerJ Comput. Sci. 8: e857 (2022)
• 
  Awadh Pratap Singh, Shiv Prasad Yadav, Preeti Tyagi:
  Performance assessment of higher educational institutions in India using data envelopment analysis and re-evaluation of NIRF Rankings. Int. J. Syst. Assur. Eng. Manag. 13(2): 1024-1035 (2022)
• 
  Mustafa Yagci:
  Educational data mining: prediction of students' academic performance using machine learning algorithms. Smart Learn. Environ. 9(1): 11 (2022)
• 
  L. Aarón Ramírez-Robles, Eréndira Gabriela Avilés-Rabanales, Ana Mónica Turcios-Esquivel, Yerly Flores-García:
  An immersive learning model by linking with companies as educational partners to improve the performance of industrial engineering students. EDUCON 2022: 2062-2070
• 2021
• 
  Seyedahmad Rahimi, Valerie Shute, Renata Kuba, Chih-Pu Dai, Xiaotong Yang, Ginny Smith, Cristina Alonso-Fernandez:
  The use and effects of incentive systems on learning and performance in educational games. Comput. Educ. 165: 104135 (2021)
• 
  Houssam El Aouifi, Mohamed El Hajji, Youssef Es-Saady, Hassan Douzi:
  Predicting learner's performance through video sequences viewing behavior analysis using educational data-mining. Educ. Inf. Technol. 26(5): 5799-5814 (2021)
• 
  Anupam Khan, Soumya K. Ghosh:
  Student performance analysis and prediction in classroom learning: A review of educational data mining studies. Educ. Inf. Technol. 26(1): 205-240 (2021)
• 
  Khaledun Nahar, Boishakhe Islam Shova, Tahmina Ria, Humayara Binte Rashid, A. H. M. Saiful Islam:
  Mining educational data to predict students performance. Educ. Inf. Technol. 26(5): 6051-6067 (2021)
• 
  Basil C. E. Oguguo, Fadip Audu Nannim, John J. Agah, Christian S. Ugwuanyi, Catherine U. Ene, Augustina C. Nzeadibe:
  Effect of learning management system on Student's performance in educational measurement and evaluation. Educ. Inf. Technol. 26(2): 1471-1483 (2021)
• 
  Solomon Sunday Oyelere, Sunday Adewale Olaleye, Oluwafemi Samson Balogun, Lukasz Tomczyk:
  Do teamwork experience and self-regulated learning determine the performance of students in an online educational technology course? Educ. Inf. Technol. 26(5): 5311-5335 (2021)
• 
  E. S. Vinoth Kumar, S. Appavu alias Balamurugan, S. Sasikala:
  Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making. Int. J. Comput. Intell. Syst. 14(1): 1796-1808 (2021)
• 
  Fabián Santos-García, Karina Elizabeth Delgado Valdivieso, Andreas Rienow, Joaquín Gairín:
  Urban-Rural Gradients Predict Educational Gaps: Evidence from a Machine Learning Approach Involving Academic Performance and Impervious Surfaces in Ecuador. ISPRS Int. J. Geo Inf. 10(12): 830 (2021)
• 
  Maryam Zaffar, Manzoor Ahmed Hashmani, K. S. Savita, Sameer Ahmad Khan:
  A review on feature selection methods for improving the performance of classification in educational data mining. Int. J. Inf. Technol. Manag. 20(1/2): 110-131 (2021)
• 
  Javier Gil-Quintana, Emilio Vida de León:
  Educational Influencers on Instagram: Analysis of Educational Channels, Audiences, and Economic Performance. Publ. 9(4): 43 (2021)
• 
  Fabienne Reisen, Jacinta Cooper, Jennifer C. Powell, Christopher Roulston, Amanda J. Wheeler:
  Performance and Deployment of Low-Cost Particle Sensor Units to Monitor Biomass Burning Events and Their Application in an Educational Initiative. Sensors 21(21): 7206 (2021)
• 
  Sajjad Khalaf Hussien, Mushtak Mahmood Khalaf Al-Sabawy, Wesam Ali Hussien:
  The Extent to which the Overall Quality can be Applied to University Educational Performance - An Applied Study in Iraqi Universities. Webology 18(2): 1133-1151 (2021)
• 
  Yucheng Jin, Xiaomeng Yang, Chengting Yu, Liangjing Yang:
  Educational Data Mining: Discovering Principal Factors for Better Academic Performance. BDET 2021: 1-8
• 
  Rogerio de Leon Pereira, Anthony Tan, Andrea Bunt, Olivier Tremblay Savard:
  Increasing player engagement, retention and performance through the inclusion of educational content in a citizen science game. FDG 2021: 16:1-16:12
• 
  Hortense Gerardo:
  Educational Convergence: The Anthropology, Performance, and Technology (APT) Program. FIE 2021: 1-4
• 
  (Withdrawn) On the Contemporary Direction of Educational Realm and Performances of Teachers' Role. ICIMTECH 2021: 272:1-272:5
• 2020
• 
  Irene Vargianniti, Kostas Karpouzis:
  Using Big and Open Data to Generate Content for an Educational Game to Increase Student Performance and Interest. Big Data Cogn. Comput. 4(4): 30 (2020)
• 
  Ali Özdemir, Kadriye Filiz Balbal:
  Fuzzy logic based performance analysis of educational mobile game for engineering students. Comput. Appl. Eng. Educ. 28(6): 1536-1548 (2020)
• 
  Danial Hooshyar, Margus Pedaste, YeongWook Yang:
  Mining Educational Data to Predict Students' Performance through Procrastination Behavior. Entropy 22(1): 12 (2020)
• 
  Anna Y. Q. Huang, Owen H. T. Lu, Jeff C. H. Huang, Chengjiu Yin, Stephen J. H. Yang:
  Predicting students' academic performance by using educational big data and learning analytics: evaluation of classification methods and learning logs. Interact. Learn. Environ. 28(2): 206-230 (2020)
• 
  Nadeem Khalid:
  Artificial intelligence learning and entrepreneurial performance among university students: evidence from malaysian higher educational institutions. J. Intell. Fuzzy Syst. 39(4): 5417-5435 (2020)

skipping 140 more matches