main.bbl
7.39 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
\begin{thebibliography}{}
\bibitem[Chiu et~al., 2023]{CHIU2023100118}
Chiu, T.~K., Xia, Q., Zhou, X., Chai, C.~S., and Cheng, M. (2023).
\newblock Systematic literature review on opportunities, challenges, and future
research recommendations of artificial intelligence in education.
\newblock {\em Computers and Education: Artificial Intelligence}, 4:100118.
\bibitem[Cunningham and Delany, 2021]{10.1145/3459665}
Cunningham, P. and Delany, S.~J. (2021).
\newblock K-nearest neighbour classifiers - a tutorial.
\newblock {\em ACM Comput. Surv.}, 54(6).
\bibitem[Ezaldeen et~al., 2022]{EZALDEEN2022100700}
Ezaldeen, H., Misra, R., Bisoy, S.~K., Alatrash, R., and Priyadarshini, R.
(2022).
\newblock A hybrid e-learning recommendation integrating adaptive profiling and
sentiment analysis.
\newblock {\em Journal of Web Semantics}, 72:100700.
\bibitem[Gupta et~al., 2021]{9434422}
Gupta, S., Chaudhari, S., Joshi, G., and Yağan, O. (2021).
\newblock Multi-armed bandits with correlated arms.
\newblock {\em IEEE Transactions on Information Theory}, 67(10):6711--6732.
\bibitem[Hajduk et~al., 2019]{hajduk2019cognitive}
Hajduk, M., Sukop, M., and Haun, M. (2019).
\newblock {\em Cognitive Multi-agent Systems: Structures, Strategies and
Applications to Mobile Robotics and Robosoccer}.
\newblock Studies in Systems, Decision and Control. Springer International
Publishing.
\bibitem[Henriet et~al., 2017]{doi:10.1177/1754337116651013}
Henriet, J., Christophe, L., and Laurent, P. (2017).
\newblock Artificial intelligence-virtual trainer: An educative system based on
artificial intelligence and designed to produce varied and consistent
training lessons.
\newblock {\em Proceedings of the Institution of Mechanical Engineers, Part P:
Journal of Sports Engineering and Technology}, 231(2):110--124.
\bibitem[Hoang, 2018]{Hoang}
Hoang, L. (2018).
\newblock {\em La formule du savoir. Une philosophie unifiée du savoir fondée
sur le théorème de Bayes}.
\newblock EDP Sciences.
\bibitem[Huang et~al., 2023]{HUANG2023104684}
Huang, A.~Y., Lu, O.~H., and Yang, S.~J. (2023).
\newblock Effects of artificial intelligence–enabled personalized
recommendations on learners’ learning engagement, motivation, and outcomes
in a flipped classroom.
\newblock {\em Computers and Education}, 194:104684.
\bibitem[Ingkavara et~al., 2022]{INGKAVARA2022100086}
Ingkavara, T., Panjaburee, P., Srisawasdi, N., and Sajjapanroj, S. (2022).
\newblock The use of a personalized learning approach to implementing
self-regulated online learning.
\newblock {\em Computers and Education: Artificial Intelligence}, 3:100086.
\bibitem[Lalitha and Sreeja, 2020]{LALITHA2020583}
Lalitha, T.~B. and Sreeja, P.~S. (2020).
\newblock Personalised self-directed learning recommendation system.
\newblock {\em Procedia Computer Science}, 171:583--592.
\newblock Third International Conference on Computing and Network
Communications (CoCoNet'19).
\bibitem[Leikola et~al., 2018]{min8100434}
Leikola, M., Sauer, C., Rintala, L., Aromaa, J., and Lundström, M. (2018).
\newblock Assessing the similarity of cyanide-free gold leaching processes: A
case-based reasoning application.
\newblock {\em Minerals}, 8(10).
\bibitem[Lepage et~al., 2020]{10.1007/978-3-030-58342-2_20}
Lepage, Y., Lieber, J., Mornard, I., Nauer, E., Romary, J., and Sies, R.
(2020).
\newblock The french correction: When retrieval is harder to specify than
adaptation.
\newblock In Watson, I. and Weber, R., editors, {\em Case-Based Reasoning
Research and Development}, pages 309--324, Cham. Springer International
Publishing.
\bibitem[Lin, 2022]{9870279}
Lin, B. (2022).
\newblock Evolutionary multi-armed bandits with genetic thompson sampling.
\newblock In {\em 2022 IEEE Congress on Evolutionary Computation (CEC)}, pages
1--8.
\bibitem[Marie, 2019]{Marie}
Marie, F. (2019).
\newblock Coliseum-3d. une plate-forme innovante pour la segmentation
d’images médicales par raisonnement à partir de cas (ràpc) et méthodes
d’apprentissage de type deep learning.
\bibitem[Muangprathub et~al., 2020]{MUANGPRATHUB2020e05227}
Muangprathub, J., Boonjing, V., and Chamnongthai, K. (2020).
\newblock Learning recommendation with formal concept analysis for intelligent
tutoring system.
\newblock {\em Heliyon}, 6(10):e05227.
\bibitem[Nkambou et~al., 2010]{Nkambou}
Nkambou, R., Bourdeau, J., and Mizoguchi, R. (2010).
\newblock {\em Advances in Intelligent Tutoring Systems}.
\newblock Springer Berlin, Heidelberg, 1 edition.
\bibitem[Richter and Weber, 2013]{Richter2013}
Richter, M. and Weber, R. (2013).
\newblock {\em Case-Based Reasoning (A Textbook)}.
\newblock Springer-Verlag GmbH.
\bibitem[Richter, 2009]{RICHTER20093}
Richter, M.~M. (2009).
\newblock The search for knowledge, contexts, and case-based reasoning.
\newblock {\em Engineering Applications of Artificial Intelligence},
22(1):3--9.
\bibitem[Robertson and Watson, 2014]{Robertson2014ARO}
Robertson, G. and Watson, I.~D. (2014).
\newblock A review of real-time strategy game ai.
\newblock {\em AI Mag.}, 35:75--104.
\bibitem[{Roldan Reyes} et~al., 2015]{ROLDANREYES20151}
{Roldan Reyes}, E., Negny, S., {Cortes Robles}, G., and {Le Lann}, J. (2015).
\newblock Improvement of online adaptation knowledge acquisition and reuse in
case-based reasoning: Application to process engineering design.
\newblock {\em Engineering Applications of Artificial Intelligence}, 41:1--16.
\bibitem[Seznec et~al., 2020]{pmlr-v108-seznec20a}
Seznec, J., Menard, P., Lazaric, A., and Valko, M. (2020).
\newblock A single algorithm for both restless and rested rotting bandits.
\newblock In Chiappa, S. and Calandra, R., editors, {\em Proceedings of the
Twenty Third International Conference on Artificial Intelligence and
Statistics}, volume 108 of {\em Proceedings of Machine Learning Research},
pages 3784--3794. PMLR.
\bibitem[Sinaga and Yang, 2020]{9072123}
Sinaga, K.~P. and Yang, M.-S. (2020).
\newblock Unsupervised k-means clustering algorithm.
\newblock {\em IEEE Access}, 8:80716--80727.
\bibitem[Su et~al., 2022]{SU2022109547}
Su, Y., Cheng, Z., Wu, J., Dong, Y., Huang, Z., Wu, L., Chen, E., Wang, S., and
Xie, F. (2022).
\newblock Graph-based cognitive diagnosis for intelligent tutoring systems.
\newblock {\em Knowledge-Based Systems}, 253:109547.
\bibitem[Wang et~al., 2021]{WANG2021331}
Wang, F., Liao, F., Li, Y., and Wang, H. (2021).
\newblock A new prediction strategy for dynamic multi-objective optimization
using gaussian mixture model.
\newblock {\em Information Sciences}, 580:331--351.
\bibitem[Xu et~al., 2021]{9627973}
Xu, S., Cai, W., Xia, H., Liu, B., and Xu, J. (2021).
\newblock Dynamic metric accelerated method for fuzzy clustering.
\newblock {\em IEEE Access}, 9:166838--166854.
\bibitem[Zhang. and Aslan, 2021]{ZHANG2021100025}
Zhang., K. and Aslan, A.~B. (2021).
\newblock Ai technologies for education: Recent research and future directions.
\newblock {\em Computers and Education: Artificial Intelligence}, 2:100025.
\bibitem[Zhao et~al., 2023]{ZHAO2023118535}
Zhao, L.-T., Wang, D.-S., Liang, F.-Y., and Chen, J. (2023).
\newblock A recommendation system for effective learning strategies: An
integrated approach using context-dependent dea.
\newblock {\em Expert Systems with Applications}, 211:118535.
\bibitem[Zhou and Wang, 2021]{Zhou2021}
Zhou, L. and Wang, C. (2021).
\newblock Research on recommendation of personalized exercises in english
learning based on data mining.
\newblock {\em Scientific Programming}, 2021:5042286.
\end{thebibliography}