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1 – 10 of 144Jeremiah Holden Kalir, Esteban Morales, Alice Fleerackers and Juan Pablo Alperin
Social annotation (SA) is a genre of learning technology that enables the annotation of digital resources for information sharing, social interaction and knowledge production…
Abstract
Purpose
Social annotation (SA) is a genre of learning technology that enables the annotation of digital resources for information sharing, social interaction and knowledge production. This study aims to examine the perceived value of SA as contributing to learning in multiple undergraduate courses.
Design/methodology/approach
In total, 59 students in 3 upper-level undergraduate courses at a Canadian university participated in SA-enabled learning activities during the winter 2019 semester. A survey was administered to measure how SA contributed to students’ perceptions of learning and sense of community.
Findings
A majority of students reported that SA supported their learning despite differences in course subject, how SA was incorporated and encouraged and how widely SA was used during course activities. While findings of the perceived value of SA as contributing to the course community were mixed, students reported that peer annotations aided comprehension of course content, confirmation of ideas and engagement with diverse perspectives.
Research limitations/implications
Studies about the relationships among SA, learning and student perception should continue to engage learners from multiple courses and from multiple disciplines, with indicators of perception measured using reliable instrumentation.
Practical implications
Researchers and faculty should carefully consider how the technical, instructional and social aspects of SA may be used to enable course-specific, personal and peer-supported learning.
Originality/value
This study found a greater variance in how undergraduate students perceived SA as contributing to the course community. Most students also perceived their own and peer annotations as productively contributing to learning. This study offers a more complete view of social factors that affect how SA is perceived by undergraduate students.
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Engida H. Gebre and Esteban Morales
This paper aims to examine the nature and sufficiency of descriptive information included in open datasets and the nature of comments and questions users write in relation to…
Abstract
Purpose
This paper aims to examine the nature and sufficiency of descriptive information included in open datasets and the nature of comments and questions users write in relation to specific datasets. Open datasets are provided to facilitate civic engagement and government transparency. However, making the data available does not guarantee usage. This paper examined the nature of context-related information provided together with the datasets and identified the challenges users encounter while using the resources.
Design/methodology/approach
The authors extracted descriptive text provided together with (often at the top of) datasets (N = 216) and the nature of questions and comments users post in relation to the dataset. They then segmented text descriptions and user comments into “idea units” and applied open-coding with constant comparison method. This allowed them to come up with thematic issues that descriptions focus on and the challenges users encounter.
Findings
Results of the analysis revealed that context-related descriptions are limited and normative. Users are expected to figure out how to use the data. Analysis of user comments/questions revealed four areas of challenge they encounter: organization and accessibility of the data, clarity and completeness, usefulness and accuracy and language (spelling and grammar). Data providers can do more to address these issues.
Research limitations/implications
The purpose of the study is to understand the nature of open data provision and suggest ways of making open data more accessible to “non expert users”. As such, it is not focused on generalizing about open data provision in various countries as such provision may be different based on jurisdiction.
Practical implications
The study provides insight about ways of organizing open dataset that the resource can be accessible by the general public. It also provides suggestions about how open data providers could consider users' perspectives including providing continuous support.
Originality/value
Research on open data often focuses on technological, policy and political perspectives. Arguably, this is the first study on analysis of context-related information in open-datasets. Datasets do not “speak for themselves” because they require context for analysis and interpretation. Understanding the nature of context-related information in open dataset is original idea.
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A. Alonso, Esteban and D. Morales
Methods of testing simple hypotheses about lifetime parameters from doubly censored data are given on the basis of the maximum likelihood principle. It is shown that, under the…
Abstract
Methods of testing simple hypotheses about lifetime parameters from doubly censored data are given on the basis of the maximum likelihood principle. It is shown that, under the assumptions of standard type, the asymptotic distribution of proposed statistics is chi‐square or linear combination of chi‐square distributions. The choice of statistics optimal from the point of view of power is discussed and illustrated by several examples.
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Esteban and D. Morales
Proposes a partially parametric estimation of a survival function when data may be both left and right censored. Assuming that the chance of censoring is not related to the…
Abstract
Proposes a partially parametric estimation of a survival function when data may be both left and right censored. Assuming that the chance of censoring is not related to the individual’s survival time, the proposed estimator treats the uncensored observations non parametrically and uses parametic models for the censored observations. In this way, the results extend Klein et al.’s work (1990) to the doubly censored data case. Shows some of the properties of the estimator when the correct theoretical parametric model is selected.
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Benedetta Esposito, Ornella Malandrino, Maria Rosaria Sessa and Daniela Sica
The improvement of the agri-food supply chain sustainability plays pivotal role in the planet’s survival and in overcoming of climate disasters. Digital technologies that support…
Abstract
The improvement of the agri-food supply chain sustainability plays pivotal role in the planet’s survival and in overcoming of climate disasters. Digital technologies that support the collection of Big Data produced along the agri-food supply chain (SC) emerge as powerful tools to accelerate the ecological transition of the sector. Digital technologies can support the implementation of circular business models by sharing data across the SC, monitoring in real time the materials flow, automatizing some agricultural practices and improving the decision-making through the development of decision support systems. Despite the relevance of these arguments, there is a lack of shared frameworks and guidelines for the effective development of a “data-driven circular economy” in the agri-food SC. In this scenario, this chapter examines how scholars investigate data-oriented strategies to accelerate the ecological transition and the adoption of circular economy (CE) models in the agri-food sector (AFS). To this end, a systematic literature review (SLR) was performed. Twenty-nine papers were selected following a rigorous sampling process. Both bibliometric and descriptive results are provided in the first part of this chapter. According to the analytical framework developed, the selected papers were examined in light of the “reduce, reuse and recycle” (3R) paradigm. Moreover, an additional R was retrieved from the systematic review (i.e., redesign), broadening the analytical perspective. The results indicate that scholars have predominantly provided theoretical contributions concerning the role of digital technologies and big data for the agri-food circular transition from a macro-perspective. The findings are useful for policy-makers and managers, who can promote and implement the big data-oriented approach to facilitate the circular transition. Limitations and future research directions are also provided.
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Adriana AnaMaria Davidescu, Eduard Mihai Manta, Andrei Pisică and Diana Popa
Digitalization can drive the sustainable development of society and industry. However, a lot of the opportunities are tightly related to the risks. This chapter investigates how…
Abstract
Digitalization can drive the sustainable development of society and industry. However, a lot of the opportunities are tightly related to the risks. This chapter investigates how academic performance in terms of scientific publications at the intersection of digitization, sustainable development, and industry brings added value to the research field. The analysis focuses on the academic papers that research the relationship between digitalization, sustainable development, and industry, analyzing comparatively two primary academic databases, Scopus and Web of Science (WoS). To do that, two samples of scientific publications were investigated. The first sample comprised 703 documents indexed in WoS, while the second was formed by 566 documents indexed in Scopus. The analyzed period for WoS is 1996–2022, while for Scopus is 2000–2022. The empirical results indicated that the research field's primary issues include digitalization, digital transformation, the construction industry, sustainability, COVID-19, and innovation for both WoS and Scopus. The most relevant authors on this cross-cutting subject in the WoS database are Beier G., Aigbavboa C., and Kumar M. In contrast, in the Scopus database, we found Beier G., Ghobakhloo M., and Iranmanesh M. At the same time, the most typical journals are the International Journal of Production Research, Sustainability, and Computers in Industry for WoS and Sustainability, Journal of Cleaner Production, and Procedia CIRP for Scopus.
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Esma Asil, Aslı Uçar, Çağla Zeynep Tunay and Aynur Bütün Ayhan
This study aims to evaluate the nutritional habits, eating behavior and nutritional status of children with autism.
Abstract
Purpose
This study aims to evaluate the nutritional habits, eating behavior and nutritional status of children with autism.
Design/methodology/approach
This study was conducted with 60 boys and 16 girls diagnosed with autism (mean age: 8.3 ± 4.9 years). Research data were collected from parents of children with autism using a questionnaire form developed by researchers after literature searching. The height and body weight of the children were recorded, and body mass index (BMI) was calculated.
Findings
Almost half of the children except the 13–18 age group were overweight/obese according to BMI. Difficulty in giving new food was 73.1% in the 2–5 age group, 70% in the 6–12 age group and 40% in the 13–18 age group (p = 0.04). It was determined that the children refused to consume a median of 3 (1–8) types of food (p = 0.04) and were obsessed with consuming 2 (1–4) types of food and 1 (1–4) type of beverages. Additionally, milk and dairy products were refused significantly higher between 2–5 and 6–12 years than 13–18 years (p = 0.02). Also, it was found that age had an inverse effect on refusal food number (β = 0.38, 95% CI = −0.30 − −0.08, p = 0.01). In conclusion, obesity and nutritional problems such as food selectivity, food refusal and obsessive eating behavior are encountered in children with autism which affect children socially and physically and should not be ignored when planning the treatment of children with autism.
Research limitations/implications
The lack of a control group to compare the results of children with autism is an important limitation of the study.
Originality/value
This study fulfills a defined need to examine and evaluate Turkish children’s nutritional status, nutritional habits and eating behavior with autism.
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Walter Leal Filho, Maria Alzira Pimenta Dinis, Maria F. Morales, María Semitiel-García, Pedro Noguera-Méndez, Salvador Ruiz de Maya, María-del-Carmen Alarcón-del-Amo, Nuria Esteban-Lloret and María Pemartín
Higher education institutions (HEIs) offer courses and programmes focusing on sustainability in economics, as courses on sustainable development (SD), which examine the economic…
Abstract
Purpose
Higher education institutions (HEIs) offer courses and programmes focusing on sustainability in economics, as courses on sustainable development (SD), which examine the economic, social and environmental dimensions of SD. This paper aims to examine sustainability integration in economics degree programmes.
Design/methodology/approach
Through an extensive literature review in Web of Science (WoS) and information search in Google, conducting to 28 relevant case studies, this paper elucidates the emphasis given to sustainability as part of economics degree programmes in HEIs.
Findings
The results suggest that, whereas the inclusion of sustainability components in this field is a growing trend, much still needs to be done to ensure that matters related to SD are part of the routine of university students studying economics.
Research limitations/implications
It is worth noting that the literature review conducted in WoS was primarily aimed at assisting in the selection of university case studies. The 28 university case studies scrutinised in this study may lack sufficient representation from numerous developing countries.
Practical implications
This study highlights challenges in integrating the SD into economics degree programmes, suggesting the need for curriculum adjustments as underscoring operational issues, acting as barriers. The inclusion of sustainability in economics programmes must navigate operational issues stemming from packed timetables and busy schedules, requiring innovative solutions.
Social implications
As far as the authors are aware, this study holds substantial importance in its emphasis on implementing sustainability within HEIs’ economics programmes, assisting in pursuing SD.
Originality/value
The novelty of this study lies in addressing sustainability with the specific economics focus programmes within the HEIs context.
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T. Pérez and J.A. Pardo
Goodness‐of‐fit test based on Kϕ‐divergence between observed and theoretical frequencies are considered. The asymptotic chi‐square null distribution and three alternative…
Abstract
Goodness‐of‐fit test based on Kϕ‐divergence between observed and theoretical frequencies are considered. The asymptotic chi‐square null distribution and three alternative approximations to the exact distribution function of this family are compared in small samples. Numerical results are presented for the symmetric null hypothesis for different multinomial sample sizes with various cell numbers. Exact power under specific alternatives to the symmetric null hypothesis are calculated and a comparison with the family of power divergence statistics is made.
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Mrs. Agueda Esteban Talaya and Mrs. Eva Reinares Lara
This paper analyzes the evolution of research undertaken in the last 35 years on tourist demand in Spain. The research considered has been classified into three fields with their…
Abstract
This paper analyzes the evolution of research undertaken in the last 35 years on tourist demand in Spain. The research considered has been classified into three fields with their own specific touristic characteristics; research projects that have been oriented toward the study of demand as a whole, those that study the origin of demand in specific zones and destinations and thirdly, those that address the demand of concrete tourist products and services. Forecast studies on tourist demand which are included in some of the above will also be included in this paper. The revision of these studies will take three basic factors into account: the area and the objectives of the project, the method used and the application and practical utility of the study.
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