scholarly journals Perancangan Intelligent Tutoring System Menggunakan Chatbot pada Mata Pelatihan Barang Dalam Keadaan Terbungkus

Author(s):  
Wicaksono Febriantoro ◽  
Achmad Nurhadi

ASN mempunyai kewajiban pengembangan kompetensi selama minimal 20 JP/tahun. Akan tetapi tidak semua ASN dapat mengikuti pelatihan sebagai bentuk pengembangan kompetensi dikarenakan terbatasnya kuota/jumlah pelatihan tatap muka (klasikal) yang tersedia. Regulasi terbaru memberikan alternatif pembelajaran non klasikal yang tidak harus bertatap muka antara lain e-learning, distance learning dan belajar mandiri. Belajar mandiri dapat digunakan siswa untuk meningkatkan kompetensinya menggunakan berbagai sumber belajar yang tersedia baik konvensional dan berbasis pada teknologi informasi. Dalam paper ini akan dibahas salah satu tools pendukung belajar mandiri berupa perancangan intelligent tutoring system menggunakan chatbot pada mata pelatihan barang dalam keadaan terbungkus (BDKT). Perancangan menggunakan framework Design Science Research, mulai dari penetapan tujuan, perancangan desain alur percakapan chatbot, pengembangan aplikasi menggunakan chatfuel, demonstrasi melalui simulasi via Facebook Messenger dan Evaluasi Blackbox. Prototype yang dihasilkan telah dapat mengikuti alur percakapan yang dirancang dan dapat digunakan sebagai pendukung belajar mandiri kapan saja dan dimana saja (domain pelajari materi dan evaluasi) asalkan terkoneksi dengan internet.

Author(s):  
Abhishek Singh Rathore ◽  
Siddhartha Kumar Arjaria

With digitization, a rapid growth is seen in educational technology. Different formal and informal learning contents are available on the internet. Intelligent tutoring system provides personalized e-learning to the learners. Different attributes like historical data, real-time data, behavioral, and cognitive are usually used for personalization. Based on the personalization, the intelligent tutoring system aims to provide easy and effective understanding. Recent research highlights the effect of learner's behavior and emotions on effective teaching-learning process. This chapter provides a brief description of the intelligent tutoring system, current developments, instructional techniques, proposed solution, and future recommendations. The emphasis of the study is to provide insights on self-regulated learning.


2020 ◽  
Vol 28 (1) ◽  
Author(s):  
Isadora Burmeister Dickie ◽  
Haro Ristow Wippel Schulenburg ◽  
Luiz Paulo de Lemos Wiese

Este artigo apresenta um estudo sobre a utilização do design participativo no desenvolvimento de estratégias de gamificação aplicadas ao ensino-aprendizagem. Conduzido pelo método Design Science Research, o estudo visou a identificação, o desenvolvimento e a avaliação de um framework para auxiliar na condução do processo de gamificação. Assim, as etapas do estudo compreenderam: (1) Identificação do problema: a partir das Revisões Bibliográficas Sistemática e Assistemática, levantou-se informações a respeito da participação dos demandantes no desenvolvimento de gamificação aplicada ao ensino-aprendizagem; (2) Definição dos resultados esperados: compreendeu à listagem de requisitos específicos ao processo participativo de gamificação; (3) Projeto e desenvolvimento: correspondeu à elaboração do framework; (4) Avaliação: correspondeu à realização de teste e refinamento do framework; e (5) Comunicação: correspondeu à socialização dos resultados do estudo e a sua utilização pela equipe do Projeto Game On que, desde 2019, integra atividades de ensino, pesquisa e extensão na Univille.


2011 ◽  
Vol 7 (4) ◽  
pp. 65-80 ◽  
Author(s):  
Sami A. M. Al-Radaei ◽  
R. B. Mishra

Course sequencing is one of the vital aspects in an Intelligent Tutoring System (ITS) for e-learning to generate the dynamic and individual learning path for each learner. Many researchers used different methods like Genetic Algorithm, Artificial Neural Network, and TF-IDF (Term Frequency- Inverse Document Frequency) in E-leaning systems to find the adaptive course sequencing by obtaining the relation between the courseware. In this paper, heuristic semantic values are assigned to the keywords in the courseware based on the importance of the keyword. These values are used to find the relationship between courseware based on the different semantic values in them. The dynamic learning path sequencing is then generated. A comparison is made in two other important methods of course sequencing using TF-IDF and Vector Space Model (VSM) respectively, the method produces more or less same sequencing path in comparison to the two other methods. This method has been implemented using Eclipse IDE for java programming, MySQL as database, and Tomcat as web server.


Author(s):  
Sami A. M. Al-Radaei ◽  
R. B. Mishra

Course sequencing is one of the vital aspects in an Intelligent Tutoring System (ITS) for e-learning to generate the dynamic and individual learning path for each learner. Many researchers used different methods like Genetic Algorithm, Artificial Neural Network, and TF-IDF (Term Frequency- Inverse Document Frequency) in E-leaning systems to find the adaptive course sequencing by obtaining the relation between the courseware. In this paper, heuristic semantic values are assigned to the keywords in the courseware based on the importance of the keyword. These values are used to find the relationship between courseware based on the different semantic values in them. The dynamic learning path sequencing is then generated. A comparison is made in two other important methods of course sequencing using TF-IDF and Vector Space Model (VSM) respectively, the method produces more or less same sequencing path in comparison to the two other methods. This method has been implemented using Eclipse IDE for java programming, MySQL as database, and Tomcat as web server.


Author(s):  
Antonio Fernández-Caballero ◽  
José Manuel Gascueña ◽  
Federico Botella ◽  
Enrique Lazcorreta

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