The Development of a Computational Thinking Learning Package that Integrates a Learning Experience Design for Grade K

2021 ◽  
pp. 144-151
Author(s):  
Chinnaphat Junruang ◽  
Issara Kanjug ◽  
Charuni Samat
Author(s):  
Helene Fournier ◽  
Rita Kop ◽  
Heather Molyneaux

This chapter highlights over a decade of literature and research findings related to new learning ecosystems such as personal learning environments including MOOCs. New structures and environments are now in place that provide opportunities for learning in open networks, but important challenges and issues persist. This chapter also highlights challenges and opportunities in the design and development of MOOC learning experience design, conditions that must exist for people to be involved and engaged in a connectivist learning environment, challenges related to personalization and support of individual learning needs, along with new ethical and privacy concerns related to the safeguarding of data in networked environments. In conclusion, further research in areas of machine-learning AI in data-driven learning systems is discussed with emphasis on human factors such as motivation, incentives, and support that encourage course participation and learning.


Author(s):  
Desislava Paneva-Marinova ◽  
Radoslav Pavlov

This chapter presents solutions for personalized observation and enhanced learning experience in digital libraries (DLs) by special smart educational nooks. Main factors related to the DLs user experience and content usability issues are considered. During the user experience design, the users' needs, goals, preferences, and interests have been carefully studied and have become the starting point for the new DLs functionality development. This chapter demonstrates several educational nooks or their components, such as learning tools in a digital library for fashion objects, a smart learning corner in an iconographical art digital library, an ontology of learning analysis method, and some educational games for art and culture in which authors are co-developers.


2021 ◽  
Vol 3 (1) ◽  
pp. 6-7
Author(s):  
Kathryn MacCallum

Mixed reality (MR) provides new opportunities for creative and innovative learning. MR supports the merging of real and virtual worlds to produce new environments and visualisations where physical and digital objects co-exist and interact in real-time (MacCallum & Jamieson, 2017). The MR continuum links both virtual and augmented reality, whereby virtual reality (VR) enables learners to be immersed within a completely virtual world, while augmented reality (AR) blend the real and the virtual world. MR embraces the spectrum between the real and the virtual; the mix of the virtual and real worlds may vary depending on the application. The integration of MR into education provides specific affordances which make it specifically unique in supporting learning (Parson & MacCallum, 2020; Bacca, Baldiris, Fabregat, Graf & Kinshuk, 2014). These affordance enable students to support unique opportunities to support learning and develop 21st-century learning capabilities (Schrier, 2006; Bower, Howe, McCredie, Robinson, & Grover, 2014).   In general, most integration of MR in the classroom tend to be focused on students being the consumers of these experiences. However by enabling student to create their own experiences enables a wider range of learning outcomes to be incorporated into the learning experience. By enabling student to be creators and designers of their own MR experiences provides a unique opportunity to integrate learning across the curriculum and supports the develop of computational thinking and stronger digital skills. The integration of student-created artefacts has particularly been shown to provide greater engagement and outcomes for all students (Ananiadou & Claro, 2009).   In the past, the development of student-created MR experiences has been difficult, especially due to the steep learning curve of technology adoption and the overall expense of acquiring the necessary tools to develop these experiences. The recent development of low-cost mobile and online MR tools and technologies have, however, provided new opportunities to provide a scaffolded approach to the development of student-driven artefacts that do not require significant technical ability (MacCallum & Jamieson, 2017). Due to these advances, students can now create their own MR digital experiences which can drive learning across the curriculum.   This presentation explores how teachers at two high schools in NZ have started to explore and integrate MR into their STEAM classes.  This presentation draws on the results of a Teaching and Learning Research Initiative (TLRI) project, investigating the experiences and reflections of a group of secondary teachers exploring the use and adoption of mixed reality (augmented and virtual reality) for cross-curricular teaching. The presentation will explore how these teachers have started to engage with MR to support the principles of student-created digital experiences integrated into STEAM domains.


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Joann Pan ◽  
Kevin R. Scott ◽  
Andrew W. Phillips

2009 ◽  
pp. 1-20 ◽  
Author(s):  
Hokyoung Ryu

This introductory chapter focuses not so much on mobile learning technologies per se, but rather on a theoretical foundation and its pragmatic application to designing learning activities with mobile technologies. It sets out three learning spaces that are explicitly considered in the book: individual, collaborative, and situated learning. On these differing learning spaces, we begin by proposing the essential factors in effective mobile learning experience design that should be addressed by different features or functions of the relevant learning activities. In turn, derived is a conceptual framework to provide systematic support for mobile learning expererience design. This chapter concludes by surveying the mobile learning systems included in this book, reviewing their differing learning activities within context of the framework. We hope that this analysis will help to expose the key qualities and features that can support the future development of increasingly effective mobile learning applications.


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