Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System

In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide one-on-one online computer-based learning supp...
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Autor*in:	Devon Barrow [verfasserIn] Antonija Mitrovic [verfasserIn] Jay Holland [verfasserIn] Mohammad Ali [verfasserIn] Nikolaos Kourentzes [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	business forecasting forecasting education intelligent tutoring systems time series decomposition forecasting support systems

Übergeordnetes Werk:	In: Forecasting - MDPI AG, 2019, 6(2024), 1, Seite 204-223
Übergeordnetes Werk:	volume:6 ; year:2024 ; number:1 ; pages:204-223

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/forecast6010012

Katalog-ID:	DOAJ10050714X

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author	Devon Barrow
spellingShingle	Devon Barrow misc Q1-390 misc QA1-939 misc business forecasting misc forecasting education misc intelligent tutoring systems misc time series decomposition misc forecasting support systems misc Science (General) misc Mathematics Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System
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topic_title	Q1-390 QA1-939 Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System business forecasting forecasting education intelligent tutoring systems time series decomposition forecasting support systems
topic	misc Q1-390 misc QA1-939 misc business forecasting misc forecasting education misc intelligent tutoring systems misc time series decomposition misc forecasting support systems misc Science (General) misc Mathematics
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title	Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System
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title_sort	developing personalised learning support for the business forecasting curriculum: the forecasting intelligent tutoring system
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title_auth	Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System
abstract	In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide one-on-one online computer-based learning support affording student modelling, adaptive pedagogical response, and performance tracking. This study provides a detailed description of the design and development of the first Forecasting Intelligent Tutoring System, aptly coined FITS, designed to assist students in developing an understanding of time series forecasting using classical time series decomposition. The system’s impact on learning is assessed through a pilot evaluation study, and its usefulness in understanding how students learn is illustrated through the exploration and statistical analysis of a small sample of student models. Practical reflections on the system’s development are also provided to better understand how such systems can facilitate and improve forecasting performance through training.
abstractGer	In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide one-on-one online computer-based learning support affording student modelling, adaptive pedagogical response, and performance tracking. This study provides a detailed description of the design and development of the first Forecasting Intelligent Tutoring System, aptly coined FITS, designed to assist students in developing an understanding of time series forecasting using classical time series decomposition. The system’s impact on learning is assessed through a pilot evaluation study, and its usefulness in understanding how students learn is illustrated through the exploration and statistical analysis of a small sample of student models. Practical reflections on the system’s development are also provided to better understand how such systems can facilitate and improve forecasting performance through training.
abstract_unstemmed	In forecasting research, the focus has largely been on decision support systems for enhancing performance, with fewer studies in learning support systems. As a remedy, Intelligent Tutoring Systems (ITSs) offer an innovative solution in that they provide one-on-one online computer-based learning support affording student modelling, adaptive pedagogical response, and performance tracking. This study provides a detailed description of the design and development of the first Forecasting Intelligent Tutoring System, aptly coined FITS, designed to assist students in developing an understanding of time series forecasting using classical time series decomposition. The system’s impact on learning is assessed through a pilot evaluation study, and its usefulness in understanding how students learn is illustrated through the exploration and statistical analysis of a small sample of student models. Practical reflections on the system’s development are also provided to better understand how such systems can facilitate and improve forecasting performance through training.
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title_short	Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System
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