Adaptive Learning Path Recommendation based on Graph Theory and an Improved Immune Algorithm |
BIAN, Cun-Ling
(Department of Educational Technology, Ocean University of China)
WANG, De-Liang (Department of Educational Technology, Ocean University of China) LIU, Shi-Yu (Department of Educational Technology, Ocean University of China) LU, Wei-Gang (Department of Educational Technology, Ocean University of China) DONG, Jun-Yu (Department of Computer Science and Technology, Ocean University of China) |
1 | S.S. Nash, "Learning objects, learning object repositories, and learning theory: Preliminary best practices for online courses," Interdisciplinary Journal of Knowledge & Learning Objects, Vol. 1, no. 1, pp. 217-228, 2005. |
2 | Q. Lin, J. Chen, Z.H. Zhan, W.N. Chen, C.A.C. Coello, Y. Yin, C.M. Lin and J. Zhang, "A Hybrid Evolutionary Immune Algorithm for Multi-objective Optimization Problems," IEEE Transactions on Evolutionary Computation, Vol. 20, no. 5, pp. 711-729, 2015. DOI |
3 | J.T. Tsai, W.H. Ho, T.K. Liu and J.H. Chou, "Improved immune algorithm for global numerical optimization and job-shop scheduling problems," Applied Mathematics & Computation, Vol. 194, no. 2, pp. 406-424, 2007. DOI |
4 | Q. Lin, Q. Zhu, P. Huang, J. Chen, Z. Ming and J. Yu, "A novel hybrid multi-objective immune algorithm with adaptive differential evolution," Computers & Operations Research, Vol. 62, no. C, pp. 95-111, 2015. DOI |
5 | G. Pan, K. Li, A. Ouyang and K. Li, "Hybrid immune algorithm based on greedy algorithm and delete-cross operator for solving TSP," Soft Computing, Vol. 20, no. 2, pp. 555-566, 2016. DOI |
6 | J.J. Jeroen, van Merrienboer and P. Ayres, "Research on cognitive load theory and its design implications for e-learning," Educational Technology Research and Development. Vol. 3, no. 3, pp. 5-13, 2005. DOI |
7 | S. Wan and Z. Niu, "A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm," Knowledge-Based Systems, Vol. 103, pp. 28-40, 2016. DOI |
8 | J. Janssen, A.J. Berlanga and R. Koper, "Evaluation of the Learning Path Specification," Educational Technology & Society, Vol. 14, no.3, pp. 218-230, 2011. |
9 | C.M. Chen, "Ontology-based concept map for planning a personalised learning path," British Journal of Educational Technology, Vol. 40, no. 6, pp. 1028-1058, 2009. DOI |
10 | M. Pushpa., "ACO in e-Learning: Towards an adaptive learning path," International Journal on Computer Science & Engineering, Vol. 4, no. 3, pp. 458-462, 2012. |
11 | E. Kurilovas, I. Zilinskiene and V. Dagiene, "Recommending suitable learning scenarios according to learners' preferences: An improved swarm based approach," Computers in Human Behavior, Vol. 30, pp. 550-557, 2014. DOI |
12 | T.C. Hsieh, M.C. Lee and C.Y. Su, "Designing and implementing a personalized remedial learning system for enhancing the programming learning," Educational Technology & Society, Vol. 16, no. 4, pp.32-46, 2013. |
13 | P. Karampiperis and D. Sampson, "Adaptive Learning Re-sources Sequencing in Educational Hypermedia Systems," Educational Technology & Society, Vol. 8, no. 4, pp.128-147, 2005. |
14 | C.M. Chen, "Intelligent web-based learning system with personalized learning path guidance," Computers & Education, Vol. 51, no. 2, pp. 787-814, 2008. DOI |
15 | Django Project, 2018. |
16 | T.C. Yang, G.J. Hwang and J.H. Yang, "Development of an Adaptive Learning System with Multiple Perspectives based on Students' Learning Styles and Cognitive Styles," Educational Technology & Society, Vol. 16, no. 4, pp. 185-200, 2013. |
17 | S. Aine, R. Kumar and P.P. Chakrabarti, "Adaptive parameter control of evolutionary algorithms to improve quality-time trade-off," Applied Soft Computing Journal, Vol. 9, no. 2, pp. 527-540, 2009. DOI |
18 | K.A.D. Jong, "Analysis of the behavior of a class of genetic adaptive systems," Dept Computer And communication Sciences University of Michigan, 1975. |
19 | R.M. Gagne, L.J. Briggs, "Principles of instructional design," Performance Improvement, Vol. 44, no. 2, pp. 44-46, 1974. DOI |
20 | K. Hilal, A. Karamete and O. Aydin, "The Effects of a Computer-Assisted Teaching Material, Designed According to the ASSURE Instructional Design and the ARCS Model of Motivation, on Students' Achievement Levels in a Mathematics Lesson and Their Resulting Attitudes," European Journal of Contemporary Education, Vol. 15, no. 1, pp. 105-113, 2016. |
21 | Y.S. Lin, Y.C. Chang and C.P. Chu, "An Innovative Approach to Scheme Learning Map Considering Tradeoff Multiple Objectives," Educational Technology & Society, Vol. 19, no. 1, pp. 142-157, 2016. |
22 | C.F. Lin, Y.C. Yeh, Y.H. Hung and R.I. Chang, "Data mining for providing a personalized learning path in creativity: An application of decision trees," Computers & Education, Vol. 68, no. 4, pp. 199-210, 2013. DOI |
23 | G. Durand, N. Belacel and F. Laplante, "Graph theory based model for learning path recommendation," Journal of Information Science, Vol. 251, no. 4, pp. 10-21, 2013. DOI |
24 | D. Churchill, "Towards a Useful Classification of Learning Objects," Educational Technology Research and Development, Vol. 55, no. 5, pp. 479-497, 2007. DOI |
25 | S. Al-Muhaideb and M.E.B. Menai, "Evolutionary computation approaches to the Curriculum Sequencing problem," Natural Computing, Vol. 10, no. 2, pp. 891-920, 2011. DOI |
26 | Klasnja-Milicevic, B. Vesin, M. Ivanovic and Z. Budimac, "E-Learning personalization based on hybrid recommendation strategy and learning style identification," Computers & Education, Vol. 56, no. 3, pp. 885-899, 2011. DOI |
27 | C.F. Lin, Y.C. Yeh, Y.H. Hung and R.I. Chang, "Data mining for providing a personalized learning path in creativity: An application of decision trees," Computers & Education, Vol. 68, no. 4, pp. 199-210, 2013. DOI |
28 | U. Ocepek, Bosni, Zoran, Nan, Ovska, I. Erbec and J. Rugelj, "Exploring the relation between learning style models and preferred multimedia types," Computers & Education, Vol. 69, no. 4, pp. 343, 2013. DOI |
29 | Y. Akbulut and C.S. Cardak, "Adaptive educational hyper-media accommodating learning styles: A content analysis of publications from 2000 to 2011," Computers & Education, Vol. 58, no. 2, pp. 835-842, 2012. DOI |
30 | R.M. Felder and B.A. Soloman, "Learning styles and strate-gies," 2000. |
31 | Y.C. Lin, Y.T. Lin and Y.M. Huang, "Development of a diagnostic system using a testing-based approach for strengthening student prior knowledge," Computers & Education, Vol. 57, no. 2, pp. 1557-1570, 2011. DOI |
32 | S.H. Liu and G.G. Lee, "Using a concept map knowledge management system to enhance the learning of biology," Computers & Education, Vol. 68, no. 4, pp. 105-116, 2013. DOI |
33 | S. Schaal, F.X. Bogner and R. Girwidz, "Concept Mapping Assessment of Media Assisted Learning in Interdisciplinary Science Education," Research in Science Education, Vol. 40, no. 3, pp. 339-352, 2010. DOI |
34 | M. Neshat, G. Sepidnam, M. Sargolzaei and A.N. Toosi, "Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications," Artificial Intelligence Review, Vol. 42, no. 4, pp. 965-997, 2014. DOI |
35 | S.A. Hofmeyr and S. Forrest, "Computer immunology," Communications of the ACM, Vol 40, pp. 88-96, 1997. DOI |
36 | I.A. Alshalabi, S. Hamada and K. Elleithy, "Automated adaptive learning using smart shortest path algorithm for course units," in Proc. of IEEE Conf. on Systems, Applications and Technology, pp. 1-5, 2015. |
37 | N.V. Jungum, N. Mohamudally and N. Nissanke, "Partitioning Application Using Graph Theory for Mobile Devices in Pervasive Computing Environments," Procedia Computer Science, Vol. 94, pp. 105-112, 2016. DOI |
38 | D. Mears and H.B. Pollard, "Network science and the human brain: Using graph theory to understand the brain and one of its hubs, the amygdala, in health and disease," Journal of Neuroscience Research, Vol. 94, no. 6, pp. 590-605, 2016. DOI |
39 | M. Alian and R. Jabri, "A shortest adaptive learning path in eLearning systems: mathematical view," Journal of American Science, Vol. 5, no. 6, pp. 32-42, 2009. |
40 | H. Tseng, C. Chiang, J. Su, J. Hung and B.E. Shelton, "Building an Online Adaptive Learning and Recommendation Platform," in Proc. of Int. Symposium on Emerging Technologies for Education, pp. 428-432, 2016. |
41 | J.D. Novak and A.J. Ca-as, "The origins of the concept mapping tool and the continuing evolution of the tool," Information Visualization, Vol. 5, no. 3, pp. 175-184, 2006. DOI |
42 | D.A. Wiley, "Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy," D.a.wiley the Instructional Use of Learning Objects, 2000. |
43 | E. Kurilovas, I. Zilinskiene and V. Dagiene, "Recommending suitable learning paths according to learners' preferences: Experimental research results," Computers in Human Behavior, Vol. 51, pp. 945-951, 2015. DOI |
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