A Systematic Review of Recommender Systems in Education

  • Abstract
  • Keywords
  • References
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  • Abstract

    Recommender system (RS)s are widely used in different walks of life. This research work is to explore the usage of RS in the field of education. This review is performed in five dimensions which includes, Purpose of RS in Education, various techniques to build RS, input parameters used in design of RS, type of students involved in design of RS and Modelling strategies for RS to represent the data. The outcome of the research work is to facilitate the efficient design of the recommender system in education which will help the students by generating the appropriate recommendations.



  • Keywords

    Recommender System, Modelling Strategy, Techniques, Input-Parameters

  • References

      [1] J. Lee, M. Sun and G. Lebanon “PREA : Personalized Recommendation Algorithms Toolkit,” vol. 13, pp. 2699–2703, 2012.

      [2] J. Aguilar, P. Valdiviezo-Díaz, and G. Riofrio, “A general framework for intelligent recommender systems,” Appl. Comput. Informatics, vol. 13, no. 2, pp. 147–160, 2017.

      [3] H. Drachsler, K. Verbert, O. C. Santos, and N. Manouselis, “Panorama of Recommender Systems to Support Learning,” Recomm. Syst. Handb., pp. 421–451, 2015.

      [4] K. Verbert, N. Manouselis, X. Ochoa, M. Wolpers, H. Drachsler, I. Bosnic, and E.Duval , “Context-Aware Recommender Systems for Learning: A Survey and Future Challenges,” Learn. Technol. IEEE Trans., vol. 5, no. 4, pp. 318–335, 2012.

      [5] R. Kawai and A. Hazeyama, “A Know-How Recommendation System for a Software Engineering Project Course by Using the Content Filtering Technique,” 2010 IEEE 34th Annu. Comput. Softw. Appl. Conf., pp. 547–548, 2010.

      [6] Huynh-Ly Thanh-Nhan, Huu-Hoa Nguyen, and Nguyen Thai-Nghe, “Methods for buildingcourse recommendation systems,” pp. 163–168, 2016.

      [7] D. Upendran, S. Chatterjee, S. Sindhumol, and K. Bijlani, “Application of Predictive Analytics in Intelligent Course Recommendation,” Procedia Comput. Sci., vol. 93, no. September, pp. 917–923, 2016.

      [8] D. Gui-Qin, Z. Yan-Song, and H. Yu-Min, “Research on selection system based on Bayesian recommendation model,” Adv. Mechatron. Syst. (ICAMechS), 2011 Int. Conf., pp. 35–38, 2011.

      [9] I. Portugal, P. Alencar, and D. Cowan, “The use of machine learning algorithms in recommender systems: A systematic review,” Expert Syst. Appl., vol. 97, pp. 205–227, 2018.

      [10] J. Lu, D. Wu, M. Mao, W. Wang, and G. Zhang, “Recommender system application developments: A survey,” Decis. Support Syst., vol. 74, pp. 12–32, 2015.

      [11] N. Thai-Nghe, L. Drumond, A. Krohn-Grimberghe, and L. Schmidt-Thieme, “Recommender system for predicting student performance,” Procedia Comput. Sci., vol. 1, no. 2, pp. 2811–2819, 2010.

      [12] M. Hasan, S. Ahmed, D. Abdullah, and S. Rahman, “Graduate School Recommender System : Assisting Admission Seekers to Apply for Graduate Studies in Appropriate Graduate Schools,” pp. 502–507, 2016.

      [13] A. Garrido and L. Morales, “E-Learning and intelligent planning: Improving content personalization,” Rev. Iberoam. Tecnol. del Aprendiz., vol. 9, no. 1, pp. 1–7, 2014.

      [14] Y. Chen, G. Yang, C. Pan, and J. Bai “Intelligent Decision System for Accessing Academic Performance of Candidates for Early Admission to University,” pp. 687–692, 2014.

      [15] X. Zhang, “Civil engineering professional courses collaborative recommendation system based on network,” 2009 1st Int. Conf. Inf. Sci. Eng. ICISE 2009, pp. 3253–3256, 2009.

      [16] C. Romero and S. Ventura, “Educational data mining: A review of the state of the art,” IEEE Trans. Syst. Man, Cybern. C Appl. Rev., vol. 40, no. X, pp. 601–618, 2010.

      [17] I. A. Mohtar, N. A. Zulkifli, and S. S. Shaffie, “Intelligent higher institution student selection system,” ICCAIE 2011 - 2011 IEEE Conf. Comput. Appl. Ind. Electron., no. Iccaie, pp. 396–401, 2011.

      [18] Y. Jin, “A Study of the Mass Customization-based Strategy fortheRecommendation of Online Course Resources of the Open University of China,” 2015.

      [19] M. P. O. Mahony and B. Smyth, “A Recommender System for On-line Course Enrolment : An Initial Study,” pp. 133–136.

      [20] C. Romero and S. Ventura, “Educational data mining: A survey from 1995 to 2005,” Expert Syst. Appl., vol. 33, no. 1, pp. 135–146, 2007.

      [21] S. Anuvareepong, S. Phooim, N. Charoenprasoplarp, and S. Vimonratana, “Course Recommender System for Student Enrollment Using Augmented Reality,” Proc. - 2017 6th IIAI Int. Congr. Adv. Appl. Informatics, IIAI-AAI 2017, pp. 212–217, 2017.

      [22] A. Felfernig and R. Burke, “Constraint-based recommender systems: technologies and research issues,” Proc. 10th Int. Conf. Electron. Commer. ICEC ’08, vol. 8, no. 5, pp. 1–10, 2008.

      [23] R. Farzan and P. Brusilovsky, “Social Navigation Support in a Course Recommendation System.”

      [24] K. N. Rao, “Application Domain and Functional Classification of Recommender Systems — A Survey,” vol. 28, no. 3, pp. 17–35, 2008.

      [25] M. Tkalcic and L. Chen, “Personality and recommender systems,” Recomm. Syst. Handbook, Second Ed., pp. 715–739, 2015.

      [26] S. V. K. Kumar and S. Padmapriya, “An Efficient Recommender System for Predicting Study Track to Students Using Data Mining Techniques,” vol. 3, no. 9, pp. 7996–7998, 2014.

      [27] C. Huang, R. Chen and L. Chen, “Proceedings of the 2013 International Conference on Machine Learning and Cybernetics, Tianjin, 14-17 July, 2013 COURSE-RECOMMENDATION SYSTEM BASED ON ONTOLOGY,” pp. 14–17, 2013.

      [28] A. Parameswaran, P. Venetis, and H. Garcia-molina, “Recommendation Systems with Complex Constraints : A Course Recommendation Perspective,” vol. V.

      [29] J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, “Recommender systems survey,” Knowledge-Based Syst., vol. 46, pp. 109–132, 2013.

      [30] Pei-ChannChang , Cheng-Hui Lin and Meng-Hui Chen , “A Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems” 2016.

      [31] K. Taha, “Automatic Academic Advisor,” Proc. 8th IEEE Int. Conf. Collab. Comput. Networking, Appl. Work., pp. 262–268, 2012.

      [32] J.Itmazi and M.Megias, “Using Recommendation Systems in course managements systems to recommend learning objects,” The international Arab Journal of Information Technology, vol. 5, no 3, pp. 234–240, 2008.

      [33] H. Bydžovská, “Course Enrollment Recommender System,” no. x, pp. 312–317, 2013.

      [34] H. Y. Jeong, C. R. Choi, and Y. J. Song, “Personalized Learning Course Planner with E-learning DSS using user profile,” Expert Syst. Appl., vol. 39, no. 3, pp. 2567–2577, 2012.

      [35] S. . Kluska-Nawarecka, E. . Nawarecki, B. . Śnieżyński, and D. . Wilk-Kołodziejczyk, “The recommendation system knowledge representation and reasoning procedures under uncertainty for metal casting,” Metalurgija, vol. 54, no. 1, pp. 263–266, 2015.

      [36] S. JULKA, A. VERMA, “Evaluating Recommender Strategies” ,International Journal of Computer Science & Engineering Technology (IJCSET), ISSN : 2229-3345 Vol. 7 No. 01 Jan 2016, 1-5

      [37] O. R. Zaiane, “Building a recommender agent for e-learning systems,” Proc. - Int. Conf. Comput. Educ. ICCE 2002, no. January 2003, pp. 55–59, 2002.

      [38] M. Salehi, “Application of implicit and explicit attribute based collaborative filtering and BIDE for learning resource recommendation,” Data Knowl. Eng., vol. 87, pp. 130–145, 2013.

      [39] M M.M. El-Bishouty and et al , “Smart e-course recommender based on learning styles,” vol. 1, pp. 99–111, 2014.

      [40] P. D. Olivier, “Fuzzy admissions model,” Proc. Annu. Southeast. Symp. Syst. Theory, pp. 288–290, 2007.

      [41] T. Zhang and V. S. Iyengar, “Recommender Systems Using Linear Classifiers,” vol. 2, pp. 313–334, 2002.

      [42] Y. Lee and J. Cho “An Intelligent Course Recommendation System,” Smart Comput. Rev., vol. 1, no. 1, pp. 69–84, 2011.

      [43] M. Elammari and R. Elfrjany, “Reducing the Complexity of Recommender Systems Development,” vol. 1, no. 4, 2012.

      [44] F. Liu, S. Zhang, J. Ge, F. Lu, and J. Zou, “Agricultural major Courses recommendation using Apriori Algorithm applied in China Open University system,” pp. 0–4, 2016.

      [45] S. Wan and Z. Niu, “A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm,” Knowledge-Based Syst., vol. 103, pp. 28–40, 2016.

      [46] J. Xu, T. Xing, and M. Van Der Schaar, “Personalized Course Sequence Recommendations,” vol. 64, no. 20, pp. 5340–5352, 2016.

      [47] A. Felfernig, G. E. Friedrich, D. Jannach, and M. Zanker, “Developing Constraint-based Recommenders,” Recomm. Syst. Handb., pp. 187–215, 2011.

      [48] F. O. Carballo and C. Antunes, “COURSE SELECTION RECOMMENDATION SYSTEM FOR HIGHER EDUCATION,” no. 2005, p. 2010, 2010.

      [49] K. Wakil, B. Akram, N. Kamal, and A. Safi, “Web Recommender System for Private Universities ’ Admission in Iraq : UHD Case Study,” vol. 4, no. 5, pp. 329–341, 2014.

      [50] C. Romero, S. Ventura, and E. García, “Data mining in course management systems: Moodle case study and tutorial,” Comput. Educ., vol. 51, no. 1, pp. 368–384, 2008.

      [51] Q. Yang, J. Sun, J. Wang, and Z. Jin, “Semantic web-based personalized recommendation system of courses knowledge research,” Proc. - 2010 Int. Conf. Intell. Comput. Cogn. Informatics, ICICCI 2010, pp. 214–217, 2010.

      [52] A. H. M. Ragab, A. F. S. Mashat, and A. M. Khedra, “HRSPCA: Hybrid recommender system for predicting college admission,” Int. Conf. Intell. Syst. Des. Appl. ISDA, pp. 107–113, 2012.

      [53] A. Al-badarenah and J. Alsakran, “An Automated Recommender System for Course Selection,” vol. 7, no. 3, pp. 166–175, 2016.

      [54] S. B. Aher and L. M. R. J. Lobo, “A Comparative Study of Association Rule Algorithms for Course Recommender System in E-learning,” Int. J. Comput. Appl., vol. 39, no. 1, pp. 48–52, 2012.

      [55] S. Bouraga, I. Jureta, S. Faulkner, and C. Herssens, “Knowledge-Based Recommendation Systems: A Survey,” Int. J. Intell. Inf. Technol., vol. 10, no. 2, pp. 1–19, 2014.

      [56] Q. E. Booker, “A student program recommendation system prototype.”

      [57] S. B. Aher and L. M. R. J. Lobo, “COURSE RECOMMENDER SYSTEM IN E-LEARNING,” vol. 3, no. 1, pp. 159–164, 2012.

      [58] L. Sunil and D. K. Saini, “Design of a Recommender System for Web Based Learning,” vol. I, pp. 3–8, 2013.

      [59] R. Burke, “Knowledge-based recommender systems”

      [60] S. B. Aher and L. M. R. J. Lobo, “Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data,” Knowledge-Based Syst., vol. 51, pp. 1–14, 2013.

      [61] D. Cosley and S. Lawrence, “REFEREE: An open framework for practical testing of recommender systems using ResearchIndex,” Proc. 28th VLDB Conf., pp. 35–46, 2002.

      [62] Kuyoro Shade O., Awodele Oludele, Okolie Samuel O. GogaNicolae“Framework of Recommendation System for Tertiary,” vol. 2, no. 4, pp. 648–657, 2013.




Article ID: 16771
DOI: 10.14419/ijet.v7i3.4.16771

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