Expert system for problem solving in distance university education: The successful case of the subject <b>“</b>operations management<b>”</b>

Esteban, Francisco David de la Peña; Torralbo, Juan Alfonso Lara; Lizcano, David; Rey, María Aurora Martínez

doi:10.1111/exsy.12444

Cited by 3 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The studies which adopted two or more AI algorithms generally aimed to build models to predict students' learning behaviors or performance (e.g., Hussain et al, 2019;. Knowledge elicitation methods via interviewing domain experts were also related to the development of intelligent learning systems for guiding and assessing learners' learning status, providing them with feedback (e.g., de la Peña Esteban et al, 2019). Studies have employed ontology to develop prototypes of e-learning systems and recommender systems as a basis for guiding performance-oriented learning, and to help learners understand through the concepts of ontologies of topics (e.g., Capuano et al, 2012;Romero et al, 2019).…”

Section: Roles Of Aiol Research In Each Periodmentioning

confidence: 99%

AI in Online-Learning Research: Visualizing and Interpreting the Journal Publications from 1997 to 2019

Hwang

Tang

2022

IRRODL

View full text Add to dashboard Cite

This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI) algorithms. Results indicate that, from 1997 to 2009, AIoL research focused on the combination of intelligent tutoring systems and distance learning. In 2010–2014, AIoL research emphasized learner-oriented learning. In 2015–2019, learner-system interactions to facilitate personalized, adaptive, and collaborative learning became the main focus. “Intelligent tutoring systems” have played the most important role in AIoL, followed by “profiling and prediction,” and “adaptive systems with personalization.” Accordingly, the roles and research trends as well as several suggestions for future research in the field of AIoL are provided as a reference for researchers and policy makers.

show abstract

Section: Roles Of Aiol Research In Each Periodmentioning

confidence: 99%

AI in Online-Learning Research: Visualizing and Interpreting the Journal Publications from 1997 to 2019

Hwang

Tang

2022

IRRODL

View full text Add to dashboard Cite

show abstract

Trends in Expert System Development: A Practicum Content Analysis in Vocational Education for Over Grow Pandemic Learning Problems

Ana

2020

Indonesian J. Sci. Technol

View full text Add to dashboard Cite

The impact of the COVID-19 has emerged as a varied issue, ranging from the economy, society's social order, and education, especially when social and physical distancing have been introduced in various areas of community activities as one of the prevention. It has also affected the tertiary education institution where learning activities should be conducted from and at home, forcing the higher education communities to shift learning from conventional learning to online learning. Needless to say, learning that does not require practicum is easier compared to learning that needs it. Consequently, it is a new task for lecturers to ensure the meaningful practicum learning implementation is conducted as it should be. Therefore, the creation of expert systems for practicum learning in vocational education is urgently required in online learning. The aim of this literature review was to examine the development of an expert system used at practicum learning in tertiary institutions and how the design of learning systems could be integrated into vocational education in facing the COVID-19 pandemic. The method used was the literature study, through research stages starting from the finding and selection of articles and journals with relevant topics, and then analysing the data. The findings of this study was to identify the development of an expert program in an attempt to promote practicum learning using e-learning in the midst of the COVID-19 pandemic outbreak.

show abstract

Automated System Synthesis of Structured Educational Content

Sidorova

Долгова

Zheleznyak

2021

jour

View full text Add to dashboard Cite

At present the study of computer science is almost impossible imagine without electronic educational resources usage. These resources are most often represents at learning package. Synthesis of learning packages is labour and resource intensive process. The results of this process influence to students work efficient. Article is devoted to creating automated system synthesis of structured educational content. This system is the universal shell for computer science learning package. This system allow to unify educational process approach, apply regardless of course content, increase student work efficient in university local network. Developed system is include six independent module. These modules realize system load properties choose, service, system load, authentification and tools, student competence control. This article contains modules work concept. Module work concept of system load properties choose is describes in detail and it's function algorithm is presented. Educational content is structured to computer science teaching program. All content is divided to two logical section. Which section is contains several subsection. Those section and subsection are TreeView hierarchical tree nodes. They are included educational content elements by special algorithm. Universal test system and special developed on VBA interactive trainers are included to competence control subsection. Those trainers are program's which can generate task for several topic. The system which considering in this article have some advantages. It's occupied small memory on hard disk, it's worked in network and on local computer. The educational content can be flexible included in this system without on course volume and student basic knowledge level.

show abstract

Expert system for problem solving in distance university education: The successful case of the subject “operations management”

Cited by 3 publications

References 19 publications

AI in Online-Learning Research: Visualizing and Interpreting the Journal Publications from 1997 to 2019

AI in Online-Learning Research: Visualizing and Interpreting the Journal Publications from 1997 to 2019

Trends in Expert System Development: A Practicum Content Analysis in Vocational Education for Over Grow Pandemic Learning Problems

Automated System Synthesis of Structured Educational Content

Contact Info

Product

Resources

About