Intelligent tutoring system

Introductory programming is an essential part of the curriculum in any engineering disciplines in universities. However, for many beginning students, it is very difficult to learn. In particular, these students often get stuck and frustrated when attempting to solve programming exercises.

12p vidoctorstrange 06-05-2023 10 3   Download

In this paper to encourage students to learn through experimentation, proposing tasks on their own initiative, which involves putting into use all the skills, abilities tools and knowledge needed to successfully solve them.

23p guernsey 28-12-2021 16 0   Download

Bài viết này đề xuất giải pháp dùng kỹ thuật phân rã ma trận tích hợp mạng xã hội (Social Matrix Factorization) trong xây dựng Hệ trợ giảng thông minh (Intelligent Tutoring System - ITS). Trước hết chúng tôi điểm lại các khái niệm chính trong ITS cũng như Kỹ thuật phân rã ma trận trong Hệ thống gợi ý, sau đó đề xuất mô hình dự đoán kết quả học tập của người học trong ITS. Thực nghiệm trên tập dữ liệu thu thập từ thực tế cho thấy việc tích hợp thêm mối quan hệ xã hội của người học có khả năng làm tăng độ chính xác của mô hình dự đoán trong ITS.

8p quenchua9 20-11-2020 41 2   Download

The main goal of this paper is to: 1) presents ITSs used in the STEM+C education; and 2) introduce data-driven ITSs for STEM+C education.

9p lucastanguyen 01-06-2020 10 1   Download

To address this issue, this paper proposes three major contributions namely, automated video annotation, the 3- Dimensional (3D) tag clouds, and the hyper interactive presenter (HIP) eLearning platform. Combining existing state-of-the-art SIFT together with tag cloud, a novel approach for automatic lecture video annotation for the HIP is proposed. New video annotations are implemented automatically providing the needed random access in lecture videos within the platform, and a 3D tag cloud is proposed as a new way of user interaction mechanism.

32p kequaidan1 05-11-2019 15 2   Download

In this paper, some of the concepts behind Intelligent Tutoring Systems (ITSs) are used to elaborate a conceptual framework for error remediaton with multple external representatons (MERs) applied to learning objects (LOs). For this purpose, we have developed an LO for teaching the Pythagorean Theorem. This study analyzes the process of error remediaton by classifying mathematcal errors and provides support for the use of MERs in this process.

12p guestgreat 06-05-2019 15 0   Download

In this work, an approach which integrates forecasting model into matrix factorization model to take into account sequential/temporal effects in user modeling since users’ need/knowledge may change overtime is introduced.

16p dieutringuyen 07-06-2017 48 1   Download

A basic problem that must be dealt with in order to build an intelligent tutoring system (ITS) in the domain of foreign language teaching is that of establishing what kind of grammatical knowledge has to be included in the domain expert module. Two basic options are possible: (i) to use a naive or pedagogical grammar, comprising knowledge derived from textbooks and school grammars or (ii) to use one of the formal grammars developed by theoretical and computational linguists.

6p buncha_1 08-05-2013 68 5   Download

The paper presents some of the results obtained within a research project aimed at developing ET (English Tutor), an intelligent tutoring system which supports Italian students in learning the English verbs. We concentrate on one of the most important modules of the system, the domain (i.e. verb) expert which is devoted to generate, in a cognitively transparent way, the right tense for the verb(s) appearing in the exercises presented to the student. An example which highlights the main capabilities of the verb expert is provided. A prototype version of ET has been fully implemented. ...

6p buncha_1 08-05-2013 47 2   Download

The tutor is part of a large R&D project in ITS which resulted in a system (called DART~ for the design and development of intelligent teaching dialogues on PLATO I and in a program (called ELISA~ for teaching foreign language conjunctions in context. ELISA was able to teach a few conjunctions in English, Dutch and Italian.

5p buncha_1 08-05-2013 52 2   Download

This pape~ describes an "intelligent" tutor of foreign language concepts and skills based upon state-of-the-art research in Intelligent reaching Systems and Computational Linguistics. The tutor is part of a large R&D project in ITS which resulted in a system (called DART~ for the design and development of intelligent teaching dialogues on PLATO I and in a program (called ELISA~ for teaching foreign language conjunctions in context. ELISA was able to teach a few conjunctions in English, Dutch and Italian.

6p buncha_1 08-05-2013 58 3   Download

This paper reports on the recognition component of an intelligent tutoring system that is designed to help foreign language speakers learn standard English. The system models the grammar of the learner, with this instantiation of the system tailored to signers of American Sign Language (ASL). We discuss the theoretical motivations for the system, various difficulties that have been encountered in the implementation, as well as the methods we have used to overcome these problems. Our method of capturing ungrammaticalities involves using malrules (also called 'error productions'). ...

7p bunrieu_1 18-04-2013 53 5   Download

This paper presents a project that investigates to what extent computational linguistic methods and tools used at GETA for machine translation can be used to i m p l e m e n t n o v e l f u n c t i o n a l i t i e s in intelligent c o m p u t e r assisted language learning. Our intelligent tutoring system project is still in its early phases. The learner module is based on an empirical study of French as used by Acadian e l e m e n...

5p bunrieu_1 18-04-2013 46 2   Download

This paper describes a spelling correction system that functions as part of an intelligent tutor that carries on a natural language dialogue with its users. The process that searches the lexicon is adaptive as is the system filter, to speed up the process. The basis of our approach is the interaction between the parser and the spelling corrector. Alternative correction targets are fed back to the parser, which does a series of syntactic and semantic checks, based on the dialogue context, the sentence context, and the phrase context. phrases that are used in the correction process. ...

5p bunrieu_1 18-04-2013 54 4   Download

To improve the interaction between students and an intelligent tutoring system, we developed two Natural Language generators, that we systematically evaluated in a three way comparison that included the original system as well. We found that the generator which intuitively produces the best language does engender the most learning. Specifically, it appears that functional aggregation is responsible for the improvement.

8p bunbo_1 17-04-2013 39 3   Download

The focus of this study is positive feedback in one-on-one tutoring, its computational modeling, and its application to the design of more effective Intelligent Tutoring Systems. A data collection of tutoring sessions in the domain of basic Computer Science data structures has been carried out. A methodology based on multiple regression is proposed, and some preliminary results are presented. A prototype Intelligent Tutoring System on linked lists has been developed and deployed in a collegelevel Computer Science class. ...

6p hongphan_1 15-04-2013 49 1   Download

Most spoken dialogue systems are still lacking in their ability to accurately model the complex process that is human turntaking. This research analyzes a humanhuman tutoring corpus in order to identify prosodic turn-taking cues, with the hopes that they can be used by intelligent tutoring systems to predict student turn boundaries. Results show that while there was variation between subjects, three features were significant turn-yielding cues overall. In addition, a positive relationship between the number of cues present and the probability of a turn yield was demonstrated. ...

5p hongdo_1 12-04-2013 52 2   Download

Supporting natural language input may improve learning in intelligent tutoring systems. However, interpretation errors are unavoidable and require an effective recovery policy. We describe an evaluation of an error recovery policy in the B EE TLE II tutorial dialogue system and discuss how different types of interpretation problems affect learning gain and user satisfaction.

6p hongdo_1 12-04-2013 43 3   Download

An intelligent tutoring system (ITS) is a program that tracks a student’s actions and offers feedback. Critiquing systems and intelligent tutors are similar in that they all analyze the users’ work-in-progress and provide feedback (Robbins, 1998). However, intelligent tutors differ from critiquing systems in that intelligent tutors intend to support students’ learning, whereas critiquing systems help users improve their work at hand.

6p connhobinh 10-12-2012 42 2   Download

Readers will find several papers that address high-level issues in the use of technology in education, for example architecture and design frameworks for building online education materials or tools. Several other chapters report novel approaches to intelligent tutors or adaptive systems in educational settings. A number of chapters consider many roles for social computing in education, from simple computer-mediated communication support to more extensive community-building frameworks and tools.

0p bi_bi1 14-07-2012 81 6   Download