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(searched for: doi:10.1016/j.iheduc.2017.08.002)
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Manal Almughamisi, Majella O'Keeffe,
Frontiers in Public Health, Volume 10; https://doi.org/10.3389/fpubh.2022.863765

Abstract:
Background: Childhood obesity is a serious issue in the Kingdom of Saudi Arabia, but there is no known community intervention. The aim of the study was to use a participatory approach to obtain the perspectives of students, school staff and Ministry of Education (MoE) representatives and parents on important and feasible intervention opportunities for school-based obesity prevention for adolescent girls.Method: The study was conducted in two intermediate schools for girls (13–15 years old) in Jeddah that were purposefully identified with the support of the MoE. Group concept mapping, a mixed method approach, was conducted with 19 adults which included staff from the MoE and schools, school canteen suppliers and mothers. Adults generated statements in response to two prompts (P); P1 “The factors influencing adolescent obesity in Saudi are...” and P2 “The content of school-based programmes should focus on....” Photovoice-enhanced concept mapping was used with students (n = 15 students) to capture adolescent perspectives on what influences their dietary and physical activity habits. Students generated statements' using their own photographs. Stakeholders, both adult and students, sorted the statements into themes and rated each statement for relative importance and feasibility. Multidimensional scaling and hierarchical cluster analyses were used to produce concept maps with the input from students and adults.Result: Adults generated 35 statements in response to P1 and identified five themes that influenced adolescent obesity including “Home Environment,” “Lifestyle,” “School Environment,” “Community,” “Biology.” They generated 42 statements in relation to P2 and identified four themes including “Ministry of Education Support,” “School Environment,” “Public health programmes” and “Wider environmental influences.” Students generated 42 statements from 39 pictures. They identified five themes that influenced their dietary and physical activity habits—“Role of Government,” “School Environment,” “Home Environment,” “Retail Environment” and “Cultural Practices.” Both groups identified several common important and feasible actions with a strong emphasis on improving the school environment, in particular food provision, with MoE support. Exemplar corresponding statements from adults were “Offer healthy foods in the canteen,” “Remove chocolates and sweets” and “Educate children about healthy foods” and from students were “Offer fruit and vegetables in the canteen,” “Remove chocolates from the canteen,” “Healthy meals should not expensive.” Lack of correspondence related to students' emphasis on access to both healthy foods and physical activity in schools and the wider environment (e.g. retail environments), while adults emphasized school-based education and food provision. After further consultations, both stakeholder groups agreed on improving access to healthy foods in the canteen.Conclusions: Students and school and MoE staff jointly agreed that a canteen-based intervention was important and feasible to improve dietary habits and thus help to prevent obesity among adolescent girls. This was the first time a participatory approach was used with students for intervention development in Saudi Arabia. A co-development approach may have value to improve their school food environments.
Chang Che, Qiubin Luo, Yan Mao
Wireless Communications and Mobile Computing, Volume 2022, pp 1-11; https://doi.org/10.1155/2022/3822931

Abstract:
The problems existing in the online education courses of engineering majors in colleges and universities are studied, and the online education platform under the background of engineering certification is designed and researched. Artificial intelligence (AI) technology and wireless network technology are used in the in-depth study of online education courses. In terms of AI, the storage of data is specifically divided into three levels, namely, the source layer (operational data layer), the historical storage layer, and the data model layer. Data analysis includes the total number of data, spatial scope, and period, etc. The results show that the overall response time of the designed platform to the operation of university teachers and students is controlled within 3 s. The test results of two online education platforms show that the performance of the designed online education platform is relatively stable. It provides hardware support for online curriculum reform. In addition, in terms of the platform test pass rate, after many tests, the online education platform security test pass rate is above 98%. In the end, these conclusions are drawn: AI technology and wireless network technology can effectively improve the performance of online education platforms. Meanwhile, this can also further improve the learning efficiency of online education courses for college engineering students.
Tiong-Thye Goh, Bing Yang
International Journal of Educational Technology in Higher Education, Volume 18, pp 1-23; https://doi.org/10.1186/s41239-021-00285-8

Abstract:
E-learning systems are widely deployed in higher education institutions but sustaining students’ continued use of e-learning systems remains challenging. This study investigated the relationship between e-learning engagement, flow experience and learning management system continuance via a mediated moderation interaction model. The context of the study is a Moodle LMS supporting a blended learning environment. After controlling age and gender, a PLS analysis of 92 students’ samples with a reflective flow construct explained 49% of the variance in the research model. The analysis shows that flow mediates e-engagement and perceived ease of use with a direct positive impact on e-learning system continuance. Flow has an indirect impact through perceived usefulness on e-learning system continuance. However, the direct impact of flow on system continuance weakens as e-learning engagement increases. This finding may help to explain the mixed and inconsistent impact of flow in the e-learning system continuance literature. The dual effect of flow suggests that instructors must carefully balance pedagogical decisions intended to heighten flow experience to generate positive learning outcomes through e-engagement and its consequence of reduced impact on continued system use.
, Karel Kreijns, Slavi Stoyanov, Scott Rosas, Marco Kalz
Journal of Computing in Higher Education, Volume 33, pp 255-280; https://doi.org/10.1007/s12528-020-09264-w

Abstract:
Openness in education is not a consistent term or value since “open” is used to describe various things and often means different things to different individuals. In a research context, it is important to identify the many interpretation(s) and perspectives of openness being investigated, especially since the underlying ideas behind these different interpretations and contexts can yield different results. Not much empirical research on the implementation aspects of open education exists, especially comparing open educational resources (OER) and open online education (OOE). This empirical study addresses this gap, exploring identification and prioritization of organizational challenges and opportunities of two subgroups of projects (i.e. OER focused or OOE focused) within various higher education institutions in The Netherlands. The main research question in this study is: Does the project character (OER focus vs. OOE focus) of innovation projects lead to perceived differences by actors involved in their implementation? Findings indicate that there are differences in conceptual as well as practical representation between the two groups. These findings imply that higher education institutions need to internally adapt to the needs of various manifestations of “openness” to be able to fully benefit from opportunities and overcome challenges.
, , Efthimios Alepis, Maria Virvou
New Review of Hypermedia and Multimedia, Volume 26, pp 138-167; https://doi.org/10.1080/13614568.2021.1908436

Abstract:
Social Media have become a tool for communication among people, the majority of whom belong to the younger generation. Hence, exploiting them in the educational field can promote communication and collaboration among students and instructors. Moreover, expanding them with more pedagogical tools, such as assessments and adaptivity, can improve further the learning outcomes. In view of the above, this paper presents i-LearnC#, an intelligent tutoring application over Facebook, for learning programming. This Facebook app extends the capabilities of Facebook platform to be used as an integrated tutoring system. In particular, i-LearnC# embodies an intelligent Virtual Coach offering individualised advice, covering students’ knowledge gaps and solving queries on unknown learning concepts. Regarding students’ assessment, i-LearnC# applies the Revised Bloom Taxonomy and delivers personalised assistance to them through the Virtual Coach. Finally, i-LearnC# employs cluster analysis for recommending the optimal groups for collaboration to students. i-LearnC# was evaluated using a well-known framework, the statistical hypothesis test and system's log files. The results are very promising, showing that i-LearnC# has been educationally beneficial to students in higher education promoting effective learning and teaching of computing education and achieving high acceptance rate as an adaptive intelligent social learning environment.
, Nicola Lewis, Ruth Richardson, Sian Thomas, Margaret Devonald-Morris, David Pontin, Carolyn Wallace
Published: 16 January 2020
Nurse Researcher, Volume 28, pp 17-24; https://doi.org/10.7748/nr.2020.e1696

Abstract:
Background Children whose assessed health needs cannot be met by statutory and universal services may require bespoke packages of continuing care. A project management group was set up to design a study that would explore the complexities for a children’s community nurse (CCN) of managing such packages. Methodology Group concept mapping (GCM), a mixed quantitative/qualitative participant-centred methodology, was used to obtain consensus from 20 CCNs about the complexities inherent in managing such packages and to develop a concept map that illustrated the emerging conceptual framework. Discussion The participants’ ideas were written as statements and analysed. Core analysis of a square symmetrical matrix through multidimensional scaling and hierarchical cluster analysis was undertaken to produce a set of maps and reports. The final concept map was interpreted. It contained 99 statements organised into five conceptual clusters: ‘education and training’ (17 statements), ‘risk and safety’ (15 statements), ‘continuing care process’ (17 statements), ‘relationships and boundaries’ (22 statements) and ‘working with families’ (28 statements). Conclusion CCNs used GCM to explore their roles and responsibilities when managing children’s continuing care. Their resulting ideas were developed into a five-cluster conceptual framework that illustrated their views about the complexities of managing such care. Implications for practice The emergent conceptual framework enables CCNs to explore their practice in relation to managing packages of care. Additionally, the framework will be used to design a CCN workforce planning instrument that will be useful to measure complexity in CCN caseloads. The GCM methodology could be used by other nursing teams who wish to develop their practice.
, , , Dimitar D. Sasselov, Colin Fredericks, David J. Malan
Published: 2 January 2020
Distance Education, Volume 41, pp 6-25; https://doi.org/10.1080/01587919.2020.1724772

Abstract:
Participants’ engagement in massive online open courses (MOOCs) is highly irregular and self-directed. It is well known in the field of television media that substantial parts of the audience tend to drop out at major episodic, or seasonal, closures, which makes creating cliff-hangers a crucial strategy to retain viewers (Bakker, 1993; Cazani, 2016; Thompson, 2003). Could there be an analogous pattern in MOOCs—with an elevated probability of dropout at major chapter transitions? Applying disjoint survival analysis on a sample of 12,913 students in a popular astronomy MOOC that built participants’ cultural capital (hobbyist pursuits), we found a significant increase in dropout rates at chapter closures. Moreover, the latter the chapter closure was positioned in the course sequence, the higher the dropout rate became. We found this pattern replicated in a sample of 20,134 students in a popular computer science MOOC that introduced participants to programming.
Published: 20 August 2019
by MDPI
Social Sciences, Volume 8; https://doi.org/10.3390/socsci8080243

Abstract:
In this article, we highlight the pressing need for integrating the windows of opportunities that digital transformation of education opens up with circular economy education to accelerate the achievements of sustainability outcomes. Circular economy transition, as a multi-scalar process, relates to several contexts, e.g., product, firm, industry-level transformations ranging from designing local socio-technical solutions to greening global value chains, with multi-level policy and business implications for finance, production, distribution, consumption that are fundamentally consequential to everyday life, work and learning. Drawing on theories of neo-capital, multi-level perspective and structuration, and as methodology, using content analysis and qualitative meta-synthesis of scientific publications in digital education for sustainability, we blended our findings into multi-level, multi-domain structuration blueprints, which capture the complexity of value emanating from the interactions among external structures, internal structures of agents, active agencies and outcomes, for circular economy open online education and massive open online course instructional designs. We conclude that learning and creating multiple values to increase social–ecological value, complementarily to economic value, necessitate activating the complexity of value embedded in digital education and circular economy transitions with customizable niches of learning preferences and journeys of individuals and groups, within broader (and evolving) technological, organizational and institutional structures.
Published: 1 March 2019
Information Discovery and Delivery, Volume 47, pp 53-63; https://doi.org/10.1108/idd-08-2018-0039

Abstract:
PurposeRecent research in higher education has pointed out that personalized e-learning through the use of learning management systems, such as Moodle, improves the academic results of students and facilitates the detection of at-risk students.Design/methodology/approachA sample of 124 students following the Degree in Health Sciences at the University of Burgos participated in this study. The objectives were as follows: to verify whether the use of a Moodle-based personalized e-learning system will predict the learning outcomes of students and the use of effective learning behaviour patterns and to study whether it will increase student satisfaction with teaching practice.FindingsThe use of a Moodle-based personalized e-learning system that included problem-based learning (PBL) methodology predicted the learning outcomes by 42.3 per cent, especially with regard to the results of the quizzes. In addition, it predicted effective behavioural patterns by 74.2 per cent. Increased student satisfaction levels were also identified through the conceptual feedback provided by the teacher, arguably because it facilitated a deeper understanding of the subject matter.Research limitations/implicationsThe results of this work should be treated with caution, because of the sample size and the specificity of the branch of knowledge of the students, as well as the design type. Future studies will be directed at increasing the size of the sample and the diversity of the qualifications.Originality/valueLearning methodology in the twenty-first century has to be guided towards carefully structured work from the pedagogic point of view in the learning management systems allowing for process-oriented feedback and PBL both included in personalized e-learning systems.
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