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Developing Personal...
Developing Personalised Learning Support for the Business Forecasting Curriculum : The Forecasting Intelligent Tutoring System
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- Barrow, Devon (författare)
- Birmingham Business School, University of Birmingham, United Kingdom
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- Mitrovic, Antonija (författare)
- Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand
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- Holland, Jay (författare)
- Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand
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- Ali, Mohammad (författare)
- Faculty of Business and Law, Anglia Ruskin University, Cambridge, United Kingdom
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- Kourentzes, Nikolaos (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Skövde Artificial Intelligence Lab (SAIL)
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(creator_code:org_t)
- MDPI, 2024
- 2024
- Engelska.
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Ingår i: Forecasting. - : MDPI. - 2571-9394 .- 2571-9394. ; 6:1, s. 204-223
- Relaterad länk:
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https://doi.org/10.3...
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https://his.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
- SAMHÄLLSVETENSKAP -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
- SOCIAL SCIENCES -- Media and Communications -- Information Systems, Social aspects (hsv//eng)
- SAMHÄLLSVETENSKAP -- Utbildningsvetenskap -- Lärande (hsv//swe)
- SOCIAL SCIENCES -- Educational Sciences -- Learning (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
Nyckelord
- business forecasting
- forecasting education
- forecasting support systems
- intelligent tutoring systems
- time series decomposition
- Skövde Artificial Intelligence Lab (SAIL)
- Skövde Artificial Intelligence Lab (SAIL)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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