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2018 | nr 2 (42) | 63--82
Tytuł artykułu

Artificial Intelligence at Universities in Poland

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education. Chatbots are one of those AI-driven solutions that support learning and teaching processes also in higher education institutions. In this paper there are presented two cases of chatbot technology implementation at Polish universities. Chatbots develop students' technical and programming skills, but also provide the possibility of gaining linguistic expertise. However, a chatbot's teaching mastery depends also on its users. That is why it is important to get students to truly understand AI systems and feel responsible for the conversation. But above all, we should ensure that chatbots respect human and civil rights. (original abstract)
Rocznik
Numer
Strony
63--82
Opis fizyczny
Twórcy
  • Silesian University of Technology, Poland
  • HEC Paris in Qatar
Bibliografia
  • Abu Shawar, B., and Atwell, E. (2007a). Chatbots: Are they Really Useful? LDV-Forum, 22 (1), 29-49.
  • Abu Shawar, B., and Atwell, E. (2007b). Different measurement metrics to evaluate a chatbot system. Bridging the Gap: Academic and Industrial Research in Dialog Technologies, NAACL'07 Workshop Proceedings, Rochester, NY, http://dx.doi.org/10.3115/1556328.1556341.
  • Benotti, L., Martínez, M.C., and Schapachnik, F. (2014). Engaging High School Students Using Chatbots. Proceeding ITiCSE '14. Proceedings of the 2014 conference on Innovation & Technology in Computer Science Education (pp. 63-68). Retrieved from http://umm.famaf.unc.edu.ar/wp-content/uploads/2014/03/main.pdf, 2017.12.09.
  • Buxton, R., Joseph, F., Guido, J., and Leung, G. (2016). Bots on the Rise: Moving from Development to Commercial Reality. Report of AGC Partners, November 2016, p. 5. Retrieved from http://agcpartners.com/insights/, 2016.12.04.
  • Cahn, J. (2017). CHATBOT: Architecture, Design, & Development. Senior Thesis (EAS499). University of Pennsylvania. Retrieved from: https://static1.squarespace.com/static/569293741c1210fdda37b429/t/59160b6bff7c50104e601a85/1494616940469/CHATBOT_thesis_final.pdf, 2017.11.28.
  • Cerf, V. (1973). PARRY Encounters the DOCTOR. Conversation between a simulated paranoid and a simulated psychiatrist. Datamation, July.
  • Chantarotwong, B. (2005). The learning chatbot. Final year project. Available online http://courses.ischool.berkeley.edu/i256/f06/projects/bonniejc.pdf.
  • Colby, K.M., Hilf, F.D., Weber, S, and Kraemer, H. (1972). Turing-like indistinguishability tests for the validation of a simulation of paranoid processes. Artificial Intelligence, 3, 199-221.
  • Crisp, G., Hillier, M., and Joarder, S. (2010). Assessing students in Second Life with scripted chatbots. Short Paper: ATN Assessment Conference 2010: Assessment: Sustainability, Diversity and Innovation. Retrieved from https://espace.library.uq.edu.au/data/UQ_309422/CRISP_2010_ATN_assessment.pdf, 2017.11.29.
  • Forbes-Riley, K., and Litman, D. (2011). Benefits and challenges of real-time uncertainty detection and adaptation in a spoken dialogue computer tutor. Speech Communication, 53(9), 1115-1136.
  • Fryer, L., and Carpenter, R. (2006). Emerging technologies bots as language learning tools. Language Learning & Technology, 10(3), 8-14.
  • Ghose, S., and Barua, J.J. (2013). Toward the implementation of a topic specific dialogue based natural language chatbot as an undergraduate advisor. Informatics, Electronics & Vision (ICIEV), 2013 International Conference on (pp. 1-5). IEEE.
  • Goda, Y., Yamada, M., Matsukawa, H., Hata, K., and Yasunami, S. (2014). Conversation with a Chatbot before an Online EFL Group Discussion and the Effects on Critical Thinking. Information and Systems in Education, 13(1), 1-7.
  • Goel, A.K., and Joyner D.A. (2016). An Experiment in Teaching Cognitive Systems Online. International Journal for the Scholarship of Technology Enhanced Learning, 1(1), 3-23.
  • Gulz, A. (2004). Benefits of Virtual Characters in Computer Based Learning Environments: Claims and Evidence. International Journal of Artificial Intelligence in Education, 14(3), 313-334.
  • Hofstadter, D.R. (1996). Preface 4 The Ineradicable Eliza Effect and Its Dangers, Epilogue. In: D.R. Hofstadter (Ed.), Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought (pp. 155-169). New York, NY: Basic Books.
  • Imrie, P., and Bednar, P. (2013). Virtual Personal Assistant. In M. Martinez, and F. Pennarolaecilia (Eds.), Empowering society through digital innovations. ItAIS 2013. Proceedings of 10th Conference of the Italian Chapter of AIS. Università Commerciale Luigi Bocconi in Milan, Italy, 14.12.2013. Retrieved from https://researchportal.port.ac.uk/portal/files/1379135/Virtual_Personal_Assistant_final.pdf, 2017,12,07.
  • Jaciów, P. (2014). Implementacja bazy wiedzy awatara głosowego oraz analiza przeprowadzonych z nim rozmów (Implementation of a speaking avatar's knowledge base and performed conversations analysis). Engineer Diploma Thesis. AGH University of Science and Technology (non-published).
  • Jia, J. (2004a). The study of the application of a web-based chatbot system on the teaching of foreign languages. In Proceedings of the SITE2004. The 15th annual conference of the Society for Information Technology and Teacher Education (pp. 1201-1207). AACE press.
  • Jia, J. (2004b). CSIEC (Computer Simulator in Educational Communication): An Intelligent Web-Based Teaching System for Foreign Language Learning Advanced Learning Technologies. Proceedings of the IEEE International Conference, 30, 690-692.
  • Kerly, A., Hall, P., and Bull, S. (2007). Bringing chatbots into education: Towards natural language negotiation of open learner models. Knowledge-Based Systems, 20(2), 177-185.
  • Knill, O., Carlsson, J., Chi, A., and Lezama, M. (2004). An artificial intelligence experiment in college math education. Retrieved from http://www.math.harvard.edu/~knill/preprints/sofia.pdf, 2017.12.17.
  • Kowalski, S., Pavlovska, K., and Goldstein, M. (2013). Two Case Studies in Using Chatbots for Security Training. In: R.C. Dodge, and L. Futcher (Eds.), Information Assurance and Security Education and Training. WISE 2009. IFIP Advances in Information and Communication Technology, vol. 406 (pp. 265-272). Berlin, Heidelberg: Springer.
  • Kuligowska, K. (2015). Commercial Chatbot: Performance Evaluation, Usability Metrics and Quality Standards of Embodied Conversational Agents. Professional Center for Business Research, 2, 1-16.
  • Lee, M.H., and Lacey, N.J. (2003). The influence of epistemology on the design of artificial agents. Minds and Machines, 13, 367-395.
  • Massaro, D.W., Cohen, M.M., Beskow, J., Daniel, S., and Cole, R.A. (2001). Developing and evaluating conversational agents. In: J. Cassel, J. Sullivan, S. Prevost, and E. Churchill (Eds.), Embodied conversational agents (pp. 287-318). Boston: MIT Press.
  • McNeal, M.L., and Newyear, D. (2013). Chapter1: Introducing Chatbots in Libraries. Library Technology Reports, 49(8), 5-10.
  • Nguyen, H., Morales, D., and Chin, T. (2017). A Neural Chatbot with Personality. Retrieved from https://web.stanford.edu/class/cs224n/reports/2761115.pdf, 2017.12.17.
  • Pilato, G., Augello, A., Vassallo, G., and Gaglio, S. (2008). EHeBby: An evocative humorist chat-bot. Mobile Information Systems, 4, 165-181.
  • Polatidis, N. (2011). Chatbot for admissions. Master thesis. University of Birmingham. Retrieved from https://www.researchgate.net/publication/265169196_Chatbot_for_admissions, 2017.11.24.
  • Pratt, E. (2017). Artificial Intelligence and Chatbots in Technical Communication - A Primer. Tekom (p. 3). Retrieved from http://intelligent-information.blog/wp-content/uploads/2017/09/A-Primer-AI-and-Chatbots-in-Technical-Communication.pdf.
  • Putz, T. (2017). Higher Education Marketing: Why Chatbots are the Future of Communication. Higher Ed Marketing Journal, 6th September 2017. Retrieved from http://circaedu.com/hemj/tta/chatbots/, 2017.12.17.
  • PwC (n.d.). An Artificial Intelligence (AI) chatbot powers profitability for a multinational bank. Retrieved from https://www.pwc.co.uk/industries/financial-services/fs-case-study-chatbot.html, 2017.12.18.
  • Samuel, A.E. (1959). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 44(1.2), 206-226.
  • Sansonnet, J.-P., Leray, D., and Martin, J.-C. (2006). Architecture of a Framework for Generic Assisting Conversational Agents. Intelligent Virtual Agents Lecture Notes in Computer Science, 145-156.
  • Shah, H. Warwick, K., Vallverdú, J., and Wu, D. (2016). Can machines talk? Comparison of Eliza with modern dialogue systems. Computer in Human Behavior, 58, 278-295.
  • Turing, A. (1950). Computing machinery and intelligence. Mind, 49, 433-460.
  • Uliyar, S. (2017). A Primer: Oracle Intelligent Bots - Powered by artificial intelligence. Redwood Shores, CA: Oracle Corporation. Retrieved from http://www.oracle.com/us/technologies/mobile/chatbots-primer-3899595.pdf. 2017.12.14.
  • UNESCO (2007). New Technologies in Higher Education: Experiences from Chile and China. Paris, France. United Nations Educational, Scientific and Cultural Organization (UNESCO). Retrieved from http://unesdoc.unesco.org/images/0015/001531/153197e.pdf, 17.11.2017.
  • VentureHarbour (n.d.). 5 B2B Chatbot Case Studies: Do Chatbots Increase Conversions? Retrieved from https://www.ventureharbour.com/5-b2b-chatbot-case-studies-do-chatbots-increase-conversions/, 2017.12.18.
  • Wallace, R.S. (2004). Be Your Own Botmaster. Oakland, CA: ALICE A.I. Foundation.
  • Wallace, R.S. (2009). The Anatomy of A.L.I.C.E. In: R. Epstein, G. Roberts, and G. Beber (Eds.), Parsing the Turing Test (pp. 181-210). Dordrecht: Springer.
  • Webber, G.M. (2005). Data representation and algorithms for biomedical informatics applications. PhD thesis, Harvard University.
  • Weizenbaum, J. (1966). ELIZA - A computer program for the study of natural language communication between man and machine. Communications of the ACM, 10(8), 36-45.
  • Weizenbaum, J. (1976). Computer power and human reason: from judgment to calculation. San Francisco, CA: W.H. Freeman & Co.
  • Yin, R.K. (1984). Case Study Research: Design and Methods. Beverly Hills, Calif: Sage Publications.
  • Zainal, Z. (2007). Case study as a research method. Jurnal Kemanusiaan, 9.
  • https://www.stanusch.com/, 2017.11.16.
  • https://www.chatbots.org/synonyms/
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.ekon-element-000171530406

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