2019
DOI: 10.3991/ijoe.v15i04.9511
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

Abstract: <p class="0abstract">The objectives of this research are to analyse and assess an intelligent graphical tutoring system using the internet of things (IoT) to develop the efficiency of embedded systems. The research findings suggest that an intelligent system is composed of six modules: 1) student, 2) graphical tutoring, 3) expert, 4) knowledge, 5) evaluation and 6) user interface. The result of a composition assessment performed by experts indicates that the overall results are at a high level. The syste… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 44 publications
0
2
0
Order By: Relevance
“…Series: Materials Science and Engineering Kaiser-Meyer- Olkin, Bartlett's Test Sphericity, Cronbach's Alpha Students No Validity and Reliability of the Questionnaire E-Learning, ICT M Mavani (1) India 2010 Blending Intelligent and Reciprocal Tutoring Systems [ 15 ] (ICWET ‘10). ACM Evaluation and Analyzer Agent, LMS Researchers Blended Architecture E-Learning, RTS Jiragorn Chalermdit, Prachyanun Nilsook, Panita Wannapiroon (3) Thailand 2019 Graphical Tutoring System Using the IoT to Develop the Competency of ES [ 8 ] iJOE Journal IOT, STS Researchers Graphical Tutoring System with IOT platform E-Learning, IOT, STS Jay E,. Aronson (2) USA 2003 Expert Systems [ 16 ] Elsevier CBR Model Researchers Expert System -CBR E-Learning Swati Shekapure and Dipti D. Patil (2) Pune, India 2019 Enhanced e-Learning Experience using Case based Reasoning Methodology [ 38 ] Science and Information (SAI) Organization, Publication House.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Series: Materials Science and Engineering Kaiser-Meyer- Olkin, Bartlett's Test Sphericity, Cronbach's Alpha Students No Validity and Reliability of the Questionnaire E-Learning, ICT M Mavani (1) India 2010 Blending Intelligent and Reciprocal Tutoring Systems [ 15 ] (ICWET ‘10). ACM Evaluation and Analyzer Agent, LMS Researchers Blended Architecture E-Learning, RTS Jiragorn Chalermdit, Prachyanun Nilsook, Panita Wannapiroon (3) Thailand 2019 Graphical Tutoring System Using the IoT to Develop the Competency of ES [ 8 ] iJOE Journal IOT, STS Researchers Graphical Tutoring System with IOT platform E-Learning, IOT, STS Jay E,. Aronson (2) USA 2003 Expert Systems [ 16 ] Elsevier CBR Model Researchers Expert System -CBR E-Learning Swati Shekapure and Dipti D. Patil (2) Pune, India 2019 Enhanced e-Learning Experience using Case based Reasoning Methodology [ 38 ] Science and Information (SAI) Organization, Publication House.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Intelligent Tutoring Systems uses tech-based information system to deliver diverse learning style and instructional contents to students (Ali & İsmail, 2020). Educational coaching system is a novel educational podium that utilizes digital technology to enhance learners' speed of learning by providing instructions, tests, video and exercises (Jiragorn, Prachyanun, Panita, 2019). An intelligent tutor system contains learning resources and delivers it to them.…”
Section: Intelligent Tutor Systemmentioning
confidence: 99%