Dima Yousef, Aseel A. Takshe and Davide Contu
The Covid-19 pandemic forced educational institution to rapidly switch to online delivery. Even if the pandemic seems to be over, online learning will continue to constitute at…
Abstract
Purpose
The Covid-19 pandemic forced educational institution to rapidly switch to online delivery. Even if the pandemic seems to be over, online learning will continue to constitute at least a part of the course’s delivery in the future. With that in mind, this study aims to explore the factors that influence teaching presence online and how these perceptions will guide teachers to adopt practices that will impact their presence accordingly. Given the changes implemented due to the pandemic, this study is essential to identify the significance of teaching and social presence in online classes.
Design/methodology/approach
Semi-structured interviews were used to find answers to the posed research questions. Exploring the perceptions and experiences of four university teachers, this study, informed by the community of inquiry (CoI) model, investigated the impact of teaching and social presence on the online learning experience in higher education.
Findings
The findings indicate that teachers acknowledged the importance of these two elements in teaching online. Moreover, the study investigates how teachers could establish teaching and social presence to enhance the online learning experience.
Originality/value
The study explores teachers’ views on the importance of presence, their practices to achieve in an online learning environment and addresses a gap in the literature on “teaching presence from the educator’s perspective, [since] most studies exploring the student’s perspective” (Gurley, 2018, p. 200).
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Davide Contu and Elgilani Eltahir Elshareif
This paper aims to estimate willingness to accept (WTA) hypothetical nuclear energy projects and the impact of net perceived benefits across three countries: Italy, a country…
Abstract
Purpose
This paper aims to estimate willingness to accept (WTA) hypothetical nuclear energy projects and the impact of net perceived benefits across three countries: Italy, a country without nuclear plants in operation; the UK, a country with nuclear plants in operation and the United Arab Emirates (UAE), which has more recently opted for the inclusion of nuclear energy in its energy mix. These valuations can support cost-benefit analyses by allowing policymakers to account for additional benefits and costs which would be otherwise neglected.
Design/methodology/approach
Data collection was conducted through online nationwide surveys, for a total of over 4,000 individuals sampled from Italy, the UK and the UAE. The surveys included choice experiments designed to elicit preferences towards nuclear energy in the form of WTA, indicating estimated compensations for welfare worsening changes and questions to measure perceived risks and benefits.
Findings
The average WTA/Km is the lowest for the case of the UAE. What is more, perceived net positive benefits tend to decrease the WTA required by the UAE respondents? Moreover, across the cases, albeit to a lesser extent with regard to Italy’s case, there is evidence that a more positive benefit perception seems to increase the valuation of environmental and public benefits offered as part of the experiment.
Originality/value
The contribution of this study is primarily twofold: first, it provides a comparison of WTA values in a context where the availability of choice experiment data is scant; second, it assesses whether and to what extent perceived net positive benefits of nuclear energy impact WTA of nuclear energy projects.
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Ikhlaas Gurrib, Firuz Kamalov, Olga Starkova, Elgilani Eltahir Elshareif and Davide Contu
This paper aims to investigate the role of price-based information from major cryptocurrencies, foreign exchange, equity markets and key commodities in predicting the next-minute…
Abstract
Purpose
This paper aims to investigate the role of price-based information from major cryptocurrencies, foreign exchange, equity markets and key commodities in predicting the next-minute Bitcoin (BTC) price. This study answers the following research questions: What is the best sparse regression model to predict the next-minute price of BTC? What are the key drivers of the BTC price in high-frequency trading?
Design/methodology/approach
Least absolute shrinkage and selection operator and Ridge regressions are adopted using minute-based open-high-low-close prices, volume and trade count for eight major cryptos, global stock market indices, foreign currency pairs, crude oil and gold price information for February 2020–March 2021. This study also examines whether there was any significant break and how the accuracy of the selected models was impacted.
Findings
Findings suggest that Ridge regression is the most effective model for predicting next-minute BTC prices based on BTC-related covariates such as BTC-open, BTC-high and BTC-low, with a moderate amount of regularization. While BTC-based covariates BTC-open and BTC-low were most significant in predicting BTC closing prices during stable periods, BTC-open and BTC-high were most important during volatile periods. Overall findings suggest that BTC’s price information is the most helpful to predict its next-minute closing price after considering various other asset classes’ price information.
Originality/value
To the best of the authors’ knowledge, this is the first paper to identify the covariates of major cryptocurrencies and predict the next-minute BTC crypto price, with a focus on both crypto-asset and cross-market information.
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Rachel Palmén and Maria Caprile
This chapter discusses the relevance of a community of practice (CoP) for a reflexive gender equality policy and reflects on the different approaches taken within TARGET. It is…
Abstract
This chapter discusses the relevance of a community of practice (CoP) for a reflexive gender equality policy and reflects on the different approaches taken within TARGET. It is based on the literature on CoPs and structural change as well as on experiences in transferring this approach to the context of implementing gender equality plans (GEPs) within different types of research organisations. While the notion of the CoP was coined in the 1990s, literature on gender and such communities remained scarce until a recent wealth of research looked at the role played by inter-institutional CoPs in advancing structural change in research organisations. In this chapter, we examine whether and how an institutional CoP approach has been a useful vehicle for gender equality plan development and how the different configurations of internal and external stakeholders within the CoPs have impacted GEP implementation.