| 1. |
- Zhang, Qian, 1977-, et al.
(författare)
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Contextualizing the rural in digital studies : A computational literature review of rural-digital relations
- 2023
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Ingår i: Technology in society. - : Elsevier. - 0160-791X .- 1879-3274. ; 75
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Tidskriftsartikel (refereegranskat)abstract
- Digital technologies are changing how and where we live, work and socialize. Rural areas are distinctive spaces and places but in the current debates of new digital phenomena, digital spaces and practices risk not being contextualized with sensitivities to rural geographies. This study aims to map how digital has been examined to date in rural-focused studies, and accordingly present propositions for how rural-digital studies can be sensitive to the distinctive and diverse character of rural spaces and places. We conduct a two-stage/scale literature review, combining 1) computational topic modelling from a Global Dataset (459 article abstracts) with 2) qualitative content analysis from a sub-dataset focusing on the Nordic region (Nordic Sub-Dataset, 17 full articles). We begin with a topic modelling analysis generating ten major themes (topics) leading to an overview of how research areas are connected to the meaning of rural context. Turning to the Nordic region, as an in-depth example, we illustrate the complexity of rural digital geographies, through a qualitative content analysis. This demonstrates that digital in rural contexts are primarily positioned outwardly as social/regional development and business/economy, and less situated inwardly through individual experience and community building. Combined we show a wide spectrum of rural-digital relations but demonstrate that rural contexts in rural-digital relations need more attention. We propose three propositions to invite deeper rural contextualizations in future digital studies to uphold the importance of rural spaces and places through, by and with digital geography.
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| 2. |
- Ayele, Workneh Yilma, 1978-
(författare)
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A toolbox for idea generation and evaluation : Machine learning, data-driven, and contest-driven approaches to support idea generation
- 2022
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Ideas are sources of creativity and innovation, and there is an increasing demand for innovation. For example, the start-up ecosystem has grown in both number and global spread. As a result, established companies need to monitor more start-ups than before and therefore need to find new ways to identify, screen, and collaborate with start-ups.The significance and abundance of data are also increasing due to the growing digital data generated from social media, sensors, scholarly literature, patents, different forms of documents published online, databases, product manuals, etc. Various data sources can be used to generate ideas, yet, in addition to bias, the size of the available digital data is a major challenge when it comes to manual analysis.Hence, human-machine interaction is essential for generating valuable ideas where machine learning and data-driven techniques generate patterns from data and serve human sense-making. However, the use of machine learning and data-driven approaches to generate ideas is a relatively new area. Moreover, it is also possible to stimulate innovation using contest-driven idea generation and evaluation. However, the measurement of contest-driven idea generation processes needs to be supported to manage the process better. In addition, post-contest challenges hinder the development of viable ideas. A mixed-method research methodology is applied to address these challenges.The results and contributions of this thesis can be viewed as a toolbox of idea-generation techniques, including a list of data-driven and machine learning techniques with corresponding data sources and models to support idea generation. In addition, the results include two models, one method and one framework, to better support data-driven and contest-driven idea generation. The beneficiaries of these artefacts are practitioners in data and knowledge engineering, data mining project managers, and innovation agents. Innovation agents include incubators, contest organizers, consultants, innovation accelerators, and industries.Future projects could develop a technical platform to explore and exploit unstructured data using machine learning, visual analytics, network analysis, and bibliometric for supporting idea generation and evaluation activities. It is possible to adapt and integrate methods included in the proposed toolbox in developer platforms to serve as part of an embedded idea management system. Future research could also adapt the framework to barriers that constrain the development required to elicit post-contest digital service. In addition, since the proposed artefacts consist of process models augmented with AI techniques, human-centred AI is a promising area of research that can contribute to the artefacts' further development and promote creativity.
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| 3. |
- Han, Shengnan, 1973-, et al.
(författare)
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Digital proctoring in higher education : a systematic literature review
- 2024
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Ingår i: International Journal of Educational Management. - 0951-354X .- 1758-6518. ; 38:1, s. 265-285
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Forskningsöversikt (refereegranskat)abstract
- Purpose – To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.Design/methodology/approach – A systematic literature review was conducted. The PRISMA procedure was adapted for the literature search. The topics were identified by topic modelling techniques from 154 relevant publications in seven databases.Findings – Seven widely discussed topics in literature were identified, including solutions for detecting cheating and student authentication, challenges/issues of uptakes and students' performance in different proctoring environments.Research limitations/implications – This paper provides insights for academics, policymakers, practitioners and students to understand the implementation of digital proctoring in academia, its adoption by HEIs, impacts on students' and educators' performance and the rapid increase in its use for digital exams in HEIs, with particular emphasis on the impacts of the systems on digitalising examinations in HE.Originality/value – This review paper has systematically and critically described the state-of-the-art literature on digital proctoring in HE and provides useful insights and implications for future research on digital proctoring, and how academic integrity in online examinations can be enhanced, along with digitalising HE.
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