Open Educators and Colearners as DJs

Author(s):  
Alexandra Okada ◽  
Scott Leslie

The aim of this chapter is to examine key factors for facilitating the development of reusable learning content (RLC) from the perspective of open educators and collaborative learners (colearners). Reusability is an essential feature of online resources for users having the facility and flexibility for adopting and/or adapting them. Authors then investigate the benefits and challenges that educators and learners may face when producing RLC collaboratively through an open and flexible framework called “the Flow,” using the knowledge mapping software Compendium. Results indicate there is good evidence that the OER Flow becomes a clear and flexible approach for users being aware of key steps to reuse and recreate new OER having reusability in their mind. With an easy-to-use visual technology, such as Compendium, which can be applied in several steps to adapt OER in order to represent different styles of learning paths, reusability might be more widely promoted in different and more diverse communities and institutions.

Author(s):  
Mahboubeh Asgari ◽  
David Kaufman

Digital games have the potential to create environments that increase motivation, engage learners, and support learning. This chapter focuses on fantasy as one of the motivational features of games, and explores the relationships among digital games, fantasy, and learning. The authors describe game characteristics and the key factors that make digital games motivational and compelling – important factors in designing games for learning. Motivation is critical in engaging students in learning activities, and this chapter explores fantasy as an important motivational feature in digital games, the popular genre of fantasy role-playing games such as Dungeons & Dragons, and the importance of creating different kinds of fantasies for males and females. Finally, the authors explore the integration of learning content in fantasy contexts in digital games.


2015 ◽  
Vol 35 (13) ◽  
pp. 2309-2320 ◽  
Author(s):  
Sanja Antic ◽  
Michael T. Wolfinger ◽  
Anna Skucha ◽  
Stefanie Hosiner ◽  
Silke Dorner

The translation and degradation of mRNAs are two key steps in gene expression that are highly regulated and targeted by many factors, including microRNAs (miRNAs). While it is well established that translation and mRNA degradation are tightly coupled, it is still not entirely clear where in the cell mRNA degradation takes place. In this study, we investigated the possibility of mRNA degradation on the ribosome inDrosophilacells. Using polysome profiles and ribosome affinity purification, we could demonstrate the copurification of various deadenylation and decapping factors with ribosome complexes. Also, AGO1 and GW182, two key factors in the miRNA-mediated mRNA degradation pathway, were associated with ribosome complexes. Their copurification was dependent on intact mRNAs, suggesting the association of these factors with the mRNA rather than the ribosome itself. Furthermore, we isolated decapped mRNA degradation intermediates from ribosome complexes and performed high-throughput sequencing analysis. Interestingly, 93% of the decapped mRNA fragments (approximately 12,000) could be detected at the same relative abundance on ribosome complexes and in cell lysates. In summary, our findings strongly indicate the association of the majority of bulk mRNAs as well as mRNAs targeted by miRNAs with the ribosome during their degradation.


2021 ◽  
Vol 84 (4) ◽  
pp. 60-67
Author(s):  
A.R. Soltangazinov ◽  
◽  
A.S. Narynbayeva ◽  
D.A. Ilyassova ◽  
◽  
...  

Main problem: Currently, there are various socio-economic and environmental problems in the development of rural regions, among the key ones: access to basic services, lack of transport connectivity, inadequate social, housing infrastructure, and others. Achieving sustainable development of the territory is one of the important priorities, which is of great importance for any state. Sustainable development is understood as harmonious development from the perspective of the economy, social sphere and ecology. At the same time, the sustainable development of socio-economic and natural systems is not possible if many factors and conditions are not taken into account that can directly affect the current state and long-term sustainability of their functioning and interference is not created on these processes within the framework of the implementation of various policies by the state. Purpose: In this regard, the purpose of this study is to identify and study the key factors that determine and contribute to the balanced development of rural regions of the country in the context of sustainable development goals and objectives. Methods: Empirical methods of economic cognition, methods of induction and deduction, synthesis, as well as logical methods were used in the framework of scientific research. Results and their significance: When classifying significant factors that influence the formation of sustainable rural development, it is necessary to take into account an essential feature of sustainable development – a harmonious combination of economic, social and environmental components of social development. Taking into account the logic of this study, based on the variety of factors contributing to the sustainable development of rural a reas, their systematization has been carried out.


Author(s):  
Alexandra Okada

This chapter presents new methodologies designed to facilitate language acquisition in open learning communities via open educational resources and knowledge mapping. It specifically focuses on the OpenLearn project developed by The Open University. This offers a virtual learning environment based on Moodle platform with free educational materials and knowledge media tools such as the instant messaging MSG, the Web videoconferencing application, FlashMeeting, and the knowledge mapping software tool Compendium. In this chapter, these technologies and mapping techniques are introduced in order to promote open language learning. Ways in which teachers and students can make use of these OpenLearn tools and resources are discussed and some benefits fully described.


2022 ◽  
pp. 58-77
Author(s):  
Smitha Baboo ◽  
Yogesh Kanna ◽  
Cathlyn Niranjana Bennett

Game-based learning is one of the sustainable education methods for future professionals from the higher education learning environment. To attain these innovative and sustainable teaching pedagogies, the components of games and simulations need to be incorporated into the teaching-learning content. The integration of neuroscience and cognitive concepts has become an essential feature in understanding various phenomena in game-based learning with regard to higher education learning environments. Several neural and cognitive processes are involved while engaging in such activities. These activities have played a pivotal role in the pedagogy and teachers had to think on their feet while engaging students in higher education as well. Game-based learning has proven to be a very effective method of engaging higher education students.


2015 ◽  
pp. 366-379
Author(s):  
Vani Kalloo ◽  
Permanand Mohan

In this chapter, the authors explore the development of mathematics content for mobile learning. Firstly, some key factors which affect the development of mathematics content for mobile learning are considered. The development of content is challenging because of the limitations of a mobile device and the diversity of the mathematics content. The diversity of the content refers to the different types of mathematics content such as text, numbers, algebraic equations or graphs. The main challenge is determining the most effective way to represent this content on a mobile device. The need to consider factors such as the type of mathematics content, mobile device limitations, and the inclusion of mathematics pedagogy are discussed. The reason why each of these factors is significant is explained and a method for developing mathematics learning content is presented. The chapter closes with an example of a learning activity developed using this method.


2020 ◽  
Vol 10 (1) ◽  
pp. 12 ◽  
Author(s):  
Abdulelah Alshehri ◽  
Therese M. Cumming

Mobile devices are increasingly included for knowledge management (KM) in academic contexts. The purpose of this study was to examine how the integration of mobile technologies affects KM among students and educators in higher education settings in Saudi Arabia. Interviews with educators and students at two universities explored the factors determining the use of mobile technologies for learning. Content analysis of the participants’ responses found that the students and educators perceived four key factors determining mobile technology use: the capacity of mobile technologies to enhance learning processes, teaching practices, and student-student and student-educator communicative interactions, and hardware and infrastructure components. The main conclusion was that Saudi universities must utilise mobile technologies to identify, encapsulate, transform, and disseminate usable knowledge effectively.


2019 ◽  
Vol 11 (8) ◽  
pp. 2289 ◽  
Author(s):  
Zhai ◽  
Gao ◽  
Zhang ◽  
Wu

Concentrating on geographically hierarchical data structures and using large-scale satisfaction survey data in Nanjing, this study employs Bayesian spatial multilevel model (MLM) to evaluate Nanjing’s perceived sustainable urbanization. In this study, we consider the geographically hierarchical data structures and the city’s individual perceptions of sustainable urbanization to explore the effect of environment and self-rated health on perceived sustainable urbanization, controlling for individual sociodemographic attributes and household. Through clarifying the spatial dependence and heterogeneity, this paper provides a flexible framework for assessing sustainable urbanization and dealing with the geographical hierarchical data. In particular, by drawing on existing studies, our questionnaire is more representative of the overall characteristics of Nanjing’s population than census data, which can be helpful for understanding whether urbanization is sustainable from individual perspective and further for correcting practices. Based on a survey of 10,077 questionnaires, this paper finds the geographically hierarchical data structures have significantly influenced the evaluation of sustainable urbanization, and the Bayesian spatial MLM is an effective tool for evaluating China’s sustainable urbanization. In particular, this paper takes spatial effects into consideration and compares the geographically hierarchical data. Results show that spatial patterns significantly influence the assessment of sustainable urbanization, and perceived pollution, age, education level, and income are the four key factors influencing individual perceived sustainable urbanization.


2016 ◽  
Vol 4 (2) ◽  
pp. 98-103 ◽  
Author(s):  
Peter Kraker ◽  
Christopher Kittel ◽  
Asura Enkhbayar

The goal of Open Knowledge Maps is to create a visual interface to the world’s scientific knowledge. The base for this visual interface consists of so-called knowledge maps, which enable the exploration of existing knowledge and the discovery of new knowledge. Our open source knowledge mapping software applies a mixture of summarization techniques and similarity measures on article metadata, which are iteratively chained together. After processing, the representation is saved in a database for use in a web visualization. In the future, we want to create a space for collective knowledge mapping that brings together individuals and communities involved in exploration and discovery. We want to enable people to guide each other in their discovery by collaboratively annotating and modifying the automatically created maps.Das Ziel von Open Knowledge Map ist es, ein visuelles Interface zum wissenschaftlichen Wissen der Welt bereitzustellen. Die Basis für die dieses Interface sind sogenannte “knowledge maps”, zu deutsch Wissenslandkarten. Wissenslandkarten ermöglichen die Exploration bestehenden Wissens und die Entdeckung neuen Wissens. Unsere Open Source Software wendet für die Erstellung der Wissenslandkarten eine Reihe von Text Mining Verfahren iterativ auf die Metadaten wissenschaftlicher Artikel an. Die daraus resultierende Repräsentation wird in einer Datenbank für die Anzeige in einer Web-Visualisierung abgespeichert. In Zukunft wollen wir einen Raum für das kollektive Erstellen von Wissenslandkarten schaffen, der die Personen und Communities, welche sich mit der Exploration und Entdeckung wissenschaftlichen Wissens beschäftigen, zusammenbringt. Wir wollen es den NutzerInnen ermöglichen, einander in der Literatursuche durch kollaboratives Annotieren und Modifizieren von automatisch erstellten Wissenslandkarten zu unterstützen.


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