From: Big data in education: a state of the art, limitations, and future research directions
Studies Themes | Description | References |
---|---|---|
Learners behavior and performance | Studies that investigated the learner’s attitude, satisfaction, strategies, behavior, big data frameworks, adaptive learning, teaching and learning analytics. | (Cantabella, Martínez-España, Ayuso, Yáñez, & Muñoz, 2019; Chaurasia & Frieda Rosin, 2017; Chaurasia, Kodwani, Lachhwani, & Ketkar, 2018; Coccoli, Maresca, & Stanganelli, 2017; Dessì, Fenu, Marras, & Reforgiato Recupero, 2019; Dubey & Gunasekaran, 2015; Elia, Solazzo, Lorenzo, & Passiante, 2018; Hirashima, Supianto, & Hayashi, 2017; Lia & Zhaia, 2018; Liang, Yang, Wu, Li, & Zheng, 2016; Maldonado-Mahauad, Pérez-Sanagustín, Kizilcec, Morales, & Munoz-Gama, 2018; Muthukrishnan & Yasin, 2018; Nie et al., 2018; Oi et al., 2017; Roy & Singh, 2017; Sedkaoui & Khelfaoui, 2019; Shorfuzzaman et al., 2019; Su, Ding, Lue, Lai, & Su, 2017; Troisi, Grimaldi, Loia, & Maione, 2018; Veletsianos, Reich, & Pasquini, 2016; Yang & Du, 2016) |
Modeling and educational Data Warehouse | Studies that introduced big data modeling and analyzed big data tools (Hadoop) with data warehouses. It explored the cloud environment and cluster analysis for accessibility and processing of educational data. | (Logica & Magdalena, 2015; Pardos, 2017; Petrova-Antonova, Georgieva, & Ilieva, 2017; Ramos, Machado, & Cordeiro, 2015; Santoso & Yulia, 2017; Wassan, 2015) |
Improvement of the educational system | Studies that analyzed statistical tools, measurements, challenges, and ICT effectiveness. It emphasized on training and various implications. It introduced a ranking system and observes the usage of websites to improve the educational system. | (Gupta & Rani, 2018; Martínez-Abad, Gamazo, & Rodríguez-Conde, 2018; Ong, 2015; Ozgur, Kleckner, & Li, 2015; Qiu, Huang, & Patel, 2015; Selwyn, 2014; Sooriamurthi, 2018; Sorensen, 2018; Zhang, 2015) |
Integration of big data into the curriculum | Studies that introduce big data topics into different courses and highlighted its implications for education. | (Buffum et al., 2014; Dinter, Jaekel, Kollwitz, & Wache, 2017; Nelson & Pouchard, 2017; Sledgianowski, Gomaa, & Tan, 2017) |