Designing Intelligent Tutoring System using Chatbot on the Prepackaged Product Training
Abstract
Government Officer (ASN) has the obligation to develop competencies for a minimum of 20 learning hours / year. However, not all ASNs can take part in training as a form of competency development due to the limited quota of face-to-face (classical) training available. The latest regulations provide alternative non-classical learning that does not have to be face-to-face including e-learning, distance learning and self learning. Self learning can be used by students to improve their competency using a variety of learning resources available both conventional and based on information technology. In this paper, one of the tools to support self learning will be discussed in the form of intelligent tutoring system design using a chatbot in the prepackaged goods training (BDKT). The design uses the framework of Design Science Research, starting from setting goals, designing chatbot conversational flow, developing applications using chatfuel, demonstration through simulations via Facebook Messgenger and Blackbox Evaluation. The resulting prototype has been able to follow the flow of the conversation that was designed and can be used as a support for self learning anytime and anywhere as long as it is connected to the internet.
Downloads
References
Brown, J. S., Burton, R. R., & Bell, A. G. (1975). SOPHIE: A Step toward creating a reactive learning environment. International Journal of Man-Machine Studies. https://doi.org/10.1016/S0020-7373(75)80026-5
Chaeruman, U. A. (2017). Pedati Model Desain Sistem Pembelajaran Blended. In Direktorat Pembelajaran dan Kemahasiswaan Kemristekdikti.
Christina Conati, Kaska Porayska-Pomsta, M. M. (2018). AI in Education needs interpretable Machine Learning : Lessons from Open Learner Modelling. ICML Workshop on Human Interpretability in Machine Learning (WHI). Stockholm.
Constable, H., & Keegan, D. (1990). Foundations of Distance Education. British Journal of Educational Studies. https://doi.org/10.2307/3121033
Derek, R. (1992). Exploring Open and Distance. London: Kogan Page Limited.
Indonesia, P. R. (2014). UU ASN No. 5 tahun 2014. UNDANG-UNDANG REPUBLIK INDONESIA NOMOR 5 TAHUN 2014 TENTANG APARATUR SIPIL NEGARA.
Indonesia, P. R. (2017). PP No. 11 Tahun 2017. PERATURAN PEMERINTAH REPUBLIK INDONESIA NOMOR 11 TAHUN 2017 TENTANG MANAJEMEN PEGAWAI NEGERI SIPIL.
Kapfhammer, G. M. (2004). Software testing. In Computer Science Handbook, Second Edition. https://doi.org/10.1201/b11362-16
Knowles, M. S. (1975). Self-directed learning: a guide for learners and teachers. Selfdirected Learning A Guide for Learners and Teachers.
Lembaga Administrasi Negara. Peraturan Lembaga Adminisrasi Negara No.10 tentang Pengembangan Kompetensi Pegawai Negeri Sipil. , (2018).
Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology. https://doi.org/10.1037/a0037123
Nesbit, J. C., Adesope, O. O., Liu, Q., & Ma, W. (2014). How effective are intelligent tutoring systems in computer science education? Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014. https://doi.org/10.1109/ICALT.2014.38
O’Shea, T. (1979). A self-improving quadratic tutor. International Journal of Man-Machine Studies. https://doi.org/10.1016/S0020-7373(79)80007-3
Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A design science research methodology for information systems research. Journal of Management Information Systems. https://doi.org/10.2753/MIS0742-1222240302
Sánchez-Díaz, X., Ayala-Bastidas, G., Fonseca-Ortiz, P., & Garrido, L. (2018). A knowledge-based methodology for building a conversational chatbot as an intelligent tutor. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-030-04497-8_14
Schroeder, N. L., Adesope, O. O., & Gilbert, R. B. (2013). How effective are pedagogical agents for learning? a meta-analytic review. Journal of Educational Computing Research. https://doi.org/10.2190/EC.49.1.a
Setiaji, B., & Wibowo, F. W. (2016). Chatbot Using a Knowledge in Database: Human-to-Machine Conversation Modeling. Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS. https://doi.org/10.1109/ISMS.2016.53
UNDP. (2019). Sustainable Development Goals. Retrieved September 1, 2019, from https://www.undp.org/content/undp/en/home/sustainable-development-goals.html
UNESCO. (2019). UNESDOC Digital Library. Retrieved September 2, 2019, from https://unesdoc.unesco.org/ark:/48223/pf0000368303
We Are Social & Hootsuite. (2019). Digital 2019. We Are Social & Hootsuite.
Copyright (c) 2020 PANCANAKA Jurnal Kependudukan, Keluarga, dan Sumber Daya Manusia
This work is licensed under a Creative Commons Attribution 4.0 International License.
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).