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  • Economics  (2)
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  • Economics  (2)
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  • 1
    Online Resource
    Online Resource
    Applying Activity System-Based Process Model in Augmented Reality-Based Learning for Natural Science Course in Elementary School
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-9-9), p. 1-18
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-9-9), p. 1-18
    Abstract: Since learning environments have the support of innovational technology, blended learning environments could integrate the physical learning methods with multimedia learning materials, which combines the use of technology with the traditional teaching methods and offers a potential for teachers and students to meet the requirements of learning flexibility and innovation. This study aims to redesign a user-centered Activity System-Based Process Model (ASPM) and integrate the Augmented Reality (AR) into blended learning to implement the Augmented Reality-Based Blended Learning (ARBL) system. There were 57 participants who learned with the ARBL while the control group was made up of 52 students who learned with the Traditional Blended Learning (TBL) approach. Analytical results indicate that the learning outcomes and learning attitude of the ARBL group were better than those of the TBL group. The activity system-based process model could provide a helpful structure in the ARBL to guide course designers, teachers, and researchers for designing the AR learning activity.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/9579766
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    DOES FEAR LEAD TO RECESSIONS?
    Cambridge University Press (CUP) ; 2016
    In:  Macroeconomic Dynamics Vol. 20, No. 5 ( 2016-07), p. 1247-1263
    Details
    In: Macroeconomic Dynamics, Cambridge University Press (CUP), Vol. 20, No. 5 ( 2016-07), p. 1247-1263
    Abstract: This paper investigates the link between consumer pessimism and U.S. economic recessions empirically. First we use structural vector autoregressive models to identify negative structural shocks to consumer confidence, which are used as a proxy for recession fear. We then apply probit models and time-varying-transition-probability Markov-switching autoregressive models to investigate how the lack of consumer confidence affects the probability of recession. We find that recession fear leads to a higher probability of economic downturns. Furthermore, strong evidence exists that an increase in market pessimism may push the economy from an expansion state to a recession state. We also find weaker evidence suggesting that a lack of consumer confidence may trap the economy in the depressed regime longer. We conclude that a lack of confidence can push the economy into recession.
    Type of Medium: Online Resource
    ISSN: 1365-1005 , 1469-8056
    URL: Article
    DOI: 10.1017/S1365100514000819
    RVK:
    QA 10000
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2016
    detail.hit.zdb_id: 1501533-6
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