The ‘who’ and the ‘what’ in international migration research: data-driven analysis of Scopus-indexed scientific literature

Hassan, Saeed‐Ul; Visvizi, Anna; Waheed, Hajra

doi:10.1080/0144929x.2019.1583282

Cited by 35 publications

(24 citation statements)

References 45 publications

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“…Furthermore, we also seek to investigate activities having an influential impact on the performance by mining textual data [41][42][43] of students' feedback by employing deep advance learning [44] and natural language processing techniques [45]. A framework catering to the prominent attributes-extrinsic and intrinsic-associated with students' performance may enable the learning analytics community to adhere towards more effective decision-making systems.…”

Section: Concluding Remarks Limitations and Future Extensionsmentioning

confidence: 99%

Predicting At-Risk Students Using Clickstream Data in the Virtual Learning Environment

2019

Self Cite

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In higher education, predicting the academic performance of students is associated with formulating optimal educational policies that vehemently impact economic and financial development. In online educational platforms, the captured clickstream information of students can be exploited in ascertaining their performance. In the current study, the time-series sequential classification problem of students’ performance prediction is explored by deploying a deep long short-term memory (LSTM) model using the freely accessible Open University Learning Analytics dataset. In the pass/fail classification job, the deployed LSTM model outperformed the state-of-the-art approaches with 93.46% precision and 75.79% recall. Encouragingly, our model superseded the baseline logistic regression and artificial neural networks by 18.48% and 12.31%, respectively, with 95.23% learning accuracy. We demonstrated that the clickstream data generated due to the students’ interaction with the online learning platforms can be evaluated at a week-wise granularity to improve the early prediction of at-risk students. Interestingly, our model can predict pass/fail class with around 90% accuracy within the first 10 weeks of student interaction in a virtual learning environment (VLE). A contribution of our research is an informed approach to advanced higher education decision-making towards sustainable education. It is a bold effort for student-centric policies, promoting the trust and the loyalty of students in courses and programs.

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Section: Concluding Remarks Limitations and Future Extensionsmentioning

confidence: 99%

Predicting At-Risk Students Using Clickstream Data in the Virtual Learning Environment

2019

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“…It is one of the most appreciated and complete indexing reference databases, which is a guarantee of the scientific quality of publications presented there. SCOPUS has been widely used so far as a sole data set for literature reviews [26,[32][33][34]. According to Meho and Rogers [35] this data set is especially useful for literature reviews in the fields of life sciences and social sciences, which are the most important scientific disciplines dealing with the issues analyzed in the paper.…”

Section: Methodsmentioning

confidence: 99%

Winter Sports Resorts and Natural Environment—Systematic Literature Review Presenting Interactions between Them

Żemła

2021

Sustainability

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The systematic literature review method was adopted to analyze the content of papers published since 2001 that focused on interactions between winter sports resort operations and the natural environment. A total of 86 papers published in journals indexed in SCOPUS data base were analyzed. Three main groups of topics presented in analyzed papers were found: the environmental impact of winter sports resorts, the management of environmental impacts and sustainable development of winter sports resorts, and finally the impact of climate change on winter sports resort operations. The biggest number of publications were devoted to the latter topic, and interest in conducting research within this area has apparently grown during the last two decades. However, most conclusions reached by the authors of numerous studies are site-specific and difficult to extend to other resorts/destinations. Additionally, the conclusions presented in many papers are contrary to the results achieved in other publications. Several gaps in our contemporary scientific knowledge and directions of future research are suggested in addition to the abovementioned results of the analysis conducted in the presented paper as the final conclusion of the research.

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“…In a great simplification, three questions define the scope and focus of the migration debate today (cf. Hassan et al., ). These include: (i) why people leave or take the decision to move; (ii) why the receiving countries decide to welcome (or not) migrants; (iii) how to ensure that both the sending countries and the receiving countries are able to safeguard their own sustainability.…”

Section: A Snapshot View On the Migration Debate And Its Limitationsmentioning

confidence: 99%

Managing International Migration: Rethinking Transaction Costs, Red Tape, and Their Impact

Visvizi

Pachocka

Lytras

2019

International Migration

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The debate on migration is bound to be tough and uneasy, and yet it is necessary to ask the difficult questions and listen to arguments that we may not like. Only in this way, it will be possible to have a solid and healthy discussion on the prospect of an efficient global governance regime. This Special Section addresses this imperative by exploring the prospect of turning away from ad hoc migration management towards holistic global migration governance. Migration defies any moral judgment and imposes moral obligations on those more fortunate. Tools and, so, policies are needed to follow this moral imperative of serving without harming. Transaction costs and red tape are nevertheless central in the debate. This Special Section sheds some light on it.

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The ‘who’ and the ‘what’ in international migration research: data-driven analysis of Scopus-indexed scientific literature

Cited by 35 publications

References 45 publications

Predicting At-Risk Students Using Clickstream Data in the Virtual Learning Environment

Predicting At-Risk Students Using Clickstream Data in the Virtual Learning Environment

Winter Sports Resorts and Natural Environment—Systematic Literature Review Presenting Interactions between Them

Managing International Migration: Rethinking Transaction Costs, Red Tape, and Their Impact

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