scholarly journals AN INTELLIGENT TUTORING SYSTEM FOR LEARNING LISTENING TOEIC

2021 ◽  
Vol 3 (1) ◽  
pp. 456-467
Author(s):  
Maria Asumpta Deny Kusumaningrum ◽  
Dewanti Ratna Pertiwi
Keyword(s):  
Artificial Intelligence ◽  
Community Service ◽  
English Proficiency ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
International Communication ◽  
Tutoring System ◽  
Listening Skill ◽  
Job Vacancy ◽  
Direct Feedback

Nowadays, English proficiency to be one of the main requirements when someone continuous study and applies for a job. One of them is TOEIC (Test of English for International Communication). In SMK AAG Penerbangan Adisutjipto Yogyakarta, TOEIC is used to measure the students’ English proficiency. Various job vacancy advertisements require the applicants to achieve the standard TOEIC score. Therefore, preparation for taking English proficiency is needed to equip the students ready in facing the TOEIC test. Artificial intelligence (AI) technology can help to improve the students’ English proficiency. The use of AI becomes higher due to the advantages such as flexibility, accurateness, and direct feedback. This program applied AI technology to develop listening skill in TOEIC of the students in SMK AAG Penerbangan Adisutjipto Yogyakarta. The result from this community service is the students know the skills and strategies to do the listening skill in TOEIC test.    

scholarly journals Kanji Workbook: A Writing-Based Intelligent Tutoring System for Learning Proper Japanese Kanji Writing Technique with Instructor-Emulated Assessment

2020 ◽  
Vol 34 (08) ◽  
pp. 13382-13389
Author(s):  
Paul Taele ◽  
Jung In Koh ◽  
Tracy Hammond
Keyword(s):  
Writing Assessment ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Tutoring System ◽  
Course Grades ◽  
University Courses ◽  
Educational Applications ◽  
Direct Feedback ◽  
To Receive ◽  
Academic Year

Kanji script writing is a skill that is often introduced to novice Japanese foreign language students for achieving Japanese writing mastery, but often poses difficulties to students with primarily English fluency due to their its vast differences with written English. Instructors often introduce various pedagogical methods—such as visual structure and written techniques—to assist students in kanji study, but may lack availability providing direct feedback on students' writing outside of class. Current educational applications are also limited due to lacking richer instructor-emulated feedback. We introduce Kanji Workbook, a writing-based intelligent tutoring system for students to receive intelligent assessment that emulates human instructor feedback. Our interface not only leverages students' computing devices for allowing them to learn, practice, and review the writing of prompted characters from their course's kanji script lessons, but also provides a diverse set of writing assessment metrics—derived from instructor interviews and classroom observation insights—through intelligent scoring and visual animations. We deployed our interface onto novice- and intermediate-level university courses over an entire academic year, and observed that interface users on average achieved higher course grades than their peers and also reacted positively to our interface's various features.

Research on Construction of Database Domain Ontology

2013 ◽  
Vol 717 ◽  
pp. 736-741 ◽  
Author(s):  
Xue Jiang ◽  
Ying Liu ◽  
Ying Zhang ◽  
Zhen Fang ◽  
De Peng Dang
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Knowledge Sharing ◽  
Domain Knowledge ◽  
Knowledge Engineering ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Domain Ontology ◽  
Tutoring System ◽  
Knowledge Learning

Domain ontology, which is widely used in knowledge engineering, artificial intelligence and semantic Web domain, describes concepts of the entities and mutual relationships between them. However, there is no existing research on construction of database domain ontology. Domain ontology of database will help to optimize associative knowledge learning in teaching and develop the intelligent tutoring system. It can also maximize domain knowledge sharing and reusing. In this paper, database domain ontology is constructed, and then we achieve the visualization. Finally we also implement the persistent storage of ontology and query.

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