The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Oscar: An Intelligent Adaptive Conversational Agent Tutoring System
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“With this approach, the students received 12% more accurate answers than those given chatbots without personalized learning materials.”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Latham et al., 2011
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“Other studies discussed a scenario-based approach to teaching with teaching agents (Latham et al., 2011;D'mello & Graesser, 2013).”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Latham et al., 2011
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“| (Latham et al., 2011) | Teaching agent, chatbot driven 54 | High usefulness | |”
From Interacting with educational chatbots: A systematic review (2023) · cites this paper as Latham et al., 2011
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Chi, M. T. H., Siler, S. A., Jeong, H., Yamauchi, T., & Hausmann, R. G. (2001) · Cognitive Science · doi:10.1207/s15516709cog2504_1 · Cited by 855
E-Learning personalization based on hybrid recommendation strategy and learning style identification
Klašnja-Milićević, A., Vesin, B., Ivanović, M., & Budimac, Z. (2011) · Computers & Education · doi:10.1016/j.compedu.2010.11.001 · Cited by 580
Ben Ammar, M., Neji, M., Alimi, A. M., & Gouardères, G. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2009.09.031 · Cited by 160
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Research works printed but not linked: 17
- Brusilovsky, P., Peylo, C.: Adaptive and Intelligent Web-based Educational Systems. Int. J. Artificial Intelligence in Education 13, 156–169 (2003)
- D’Mello, S., Lehman, B., Sullins, J., Daigle, R., Combs, R., Vogt, K., Perkins, L., Graesser, A.: A Time for Emoting: When Affect-Sensitivity Is and Isn’t Effective at Promoting Deep Learning. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010. LNCS, vol. 6094, pp. 245–254. Springer, Heidelberg (2010) · DOI
- Graesser, A., Chipman, P., Haynes, B.C., Olney, A.: AutoTutor: An Intelligent Tutoring System With Mixed-Initiative Dialogue. IEEE Trans. Education 48(4), 612–618 (2005) · DOI · Paper page
- Popescu, E.: Adaptation provisioning with respect to learning styles in a Web-based educational system: an experimental study. Journal of Computer Assisted Learning 26, 243–257 (2010) · DOI
- Felder, R., Silverman, L.K.: Learning and Teaching Styles in Engineering Education. J. Engineering Education 78(7), 674–681 (1988)
- Cha, H.J., Kim, Y.S., Park, S.-H., Yoon, T.-b., Jung, Y.M., Lee, J.-H.: Learning styles diagnosis based on user interface behaviors for the customization of learning interfaces in an intelligent tutoring system. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 513–524. Springer, Heidelberg (2006) · DOI
- Woo Woo, C., Evens, M.W., Freedman, R., Glass, M., Seop Shim, L., Zhang, Y., Zhou, Y., Michael, J.: An intelligent tutoring system that generates a natural language dialogue using dynamic multi-level planning. Artificial Intelligence in Medicine 38, 25–46 (2006) · DOI
- Mitrovic, A.: An Intelligent SQL Tutor on the Web. Int. J. Artificial Intelligence in Education 13, 171–195 (2003)
- Melis, E., Andrès, E., Büdenbender, J., Frishauf, A., Goguadse, G., Libbrecht, P., Pollet, M., Ullrich, C.: ActiveMath: A web-based learning environment. Int. J. Artificial Intelligence in Education 12(4), 385–407 (2001)
- Leontidis, M., Halatsis, C.: Integrating Learning Styles and Personality Traits into an Affective Model to Support Learner’s Learning. In: Spaniol, M., Li, Q., Klamma, R., Lau, R.W.H. (eds.) ICWL 2009. LNCS, vol. 5686, pp. 225–234. Springer, Heidelberg (2009) · DOI
- Latham, A.M., Crockett, K.A., McLean, D.A., Edmonds, B.: Predicting Learning Styles in a Conversational Intelligent Tutoring System. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds.) ICWL 2010. LNCS, vol. 6483, pp. 131–140. Springer, Heidelberg (2010) · DOI
- Latham, A., Crockett, K., Bandar, Z.: A Conversational Expert System Supporting Bullying and Harassment Policies. In: ICAART 2010, pp. 163–168 (2011) · DOI
- Pudner, K., Crockett, K.A., Bandar, Z.: An Intelligent Conversational Agent Approach to Extracting Queries from Natural Language. In: Proc. WCE Int. Conf. Data Mining and Knowledge Engineering, pp. 305–310 (2007)
- Michie, D.: Return of the Imitation Game. Electronic Transactions on Artificial Intelligence 6, 203–221 (2001)
- Li, Y., Bandar, Z., McLean, D., O’Shea, J.: A Method for Measuring Sentence Similarity and its Application to Conversational Agents. In: Proc. FLAIRS 2004, pp. 820–825 (2004)
- Khoury, R., Karray, F., Kamel, M.S.: Keyword extraction rules based on a part-of-speech hierarchy. Int. J. Advanced Media and Communication 2(2), 138–153 (2008) · DOI
- Latham, A.M., Crockett, K.A., McLean, D.A., Edmonds, B., O’Shea, K.: Oscar: An Intelligent Conversational Agent Tutor to Estimate Learning Styles. In: Proc. IEEE World Congress On Computational Intelligence 2010, pp. 2533–2540 (2010) · DOI
Cited by
Sorted by citations
Interacting with educational chatbots: A systematic review
Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11177-3 · Cited by 841
Metadata
- Authors
- Latham, A., Crockett, K., McLean, D., & Edmonds, B.
- Affiliations
- Manchester Metropolitan University (GB)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 563-572
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W152157562
- Cited by
- 10
- References
- 3
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 1 · 2017: 2 · 2012: 1
- FWCI
- 1.00
- Type
- conference paper
- Language
- en
- Open access
- green
- e-space.mmu.ac.uk
- Locations
- Lecture notes in computer science (publishedVersion)
- e-space (Manchester Metropolitan University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- intelligent tutoring systems, adaptive tutoring, chatbots, learning styles, natural language interaction, online tutoring, student self-confidence
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