Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment

By T. Tang, G. McCalla. 2005

316 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4e64bf4753ca865bd9b0cf2658fce0efe7433f1c

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Citations in the corpus

Research-paper recommender systems: a literature survey (2015, unknown): “Reference [1], [43] [80], [155] [106], [123], [131], [139] [34], [42], [82], [91], [141], [154], [174] [31– 33], [57], [88], [90], [93], [102], [103], [150], [173] [9], [30], [35– 39], [48], [140], [157], [160], [164], [165] [27], [55], [81], [94], [105], [107], [108], [117], [162], [163], [169], [1”
Educational data mining: A survey from 1995 to 2005 (2007, background): “…application of data mining in educational systems can be oriented to different actors with each particular point of view (Zorrilla, Menasalvas, Marin, Mora, & Segovia, 2005): • Oriented towards students (Heraud, France, & Mille, 2004; Farzan, 2004; Lu, 2004; Tang & McCalla, 2005; Zaı̈ane, 2002).”
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges (2012, background): “Most systems suggest learning resources [106] and/or people [43], [85] who can help with a learning activity.”
The State of Educational Data Mining in 2009: A Review and Future Visions. (2009, background): “Researchers have also been able to extend student modeling even beyond educational software, towards figuring out what factors are predictive of student failure or non-retention in college courses or in college altogether [Dekker et al. 2009; Romero et al. 2008; Superby et al. 2006].”
Applying Data Mining Techniques to e-Learning Problems (2007, methodology): “In [49, 85], studies on how Data Mining techniques could successfully be incorporated to e-learning environments and how they could improve the learning tasks were carried out.”
Data mining in course management systems: Moodle case study and tutorial (2008, background): “…with similar learning characteristics and to promote group-based collaborative learning as well as to provide incremental learner diagnosis (Tang & McCalla, 2005); discovering patterns reflecting user behaviours and for collaboration management to characterize similar behaviour groups in…”