Offline collaborative learning approach for remote Northern territory students

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出版年:Interactive Technology and Smart Education vol. 21, no. 1 (2024), p. 67-82
第一著者: Dai, Haixiao
その他の著者: Phong Lam Nguyen, Kutay, Cat
出版事項:
Emerald Group Publishing Limited
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022 |a 1741-5659 
022 |a 1758-8510 
024 7 |a 10.1108/ITSE-05-2022-0063  |2 doi 
035 |a 2915062950 
045 2 |b d20240101  |b d20240331 
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100 1 |a Dai, Haixiao  |u College of Engineering, IT and Environment, Charles Darwin University, Darwin, Australia 
245 1 |a Offline collaborative learning approach for remote Northern territory students 
260 |b Emerald Group Publishing Limited  |c 2024 
513 |a Case Study 
520 3 |a PurposeDigital learning systems are crucial for education and data collected can analyse students learning performances to improve support. The purpose of this study is to design and build an asynchronous hardware and software system that can store data on a local device until able to share. It was developed for staff and students at university who are using the limited internet access in areas such as remote Northern Territory. This system can asynchronously link the users’ devices and the central server at the university using unstable internet.Design/methodology/approachA Learning Box has been build based on minicomputer and a web learning management system (LMS). This study presents different options to create such a system and discusses various approaches for data syncing. The structure of the final setup is a Moodle (Modular Object Oriented Developmental Learning Environment) LMS on a Raspberry Pi which provides a Wi-Fi hotspot. The authors worked with lecturers from X University who work in remote Northern Territory regions to test this and provide feedback. This study also considered suitable data collection and techniques that can be used to analyse the available data to support learning analysis by the staff. This research focuses on building an asynchronous hardware and software system that can store data on a local device until able to share. It was developed for staff and students at university who are using the limited internet access in areas such as remote Northern Territory. This system can asynchronously link the users’ devices and the central server at the university using unstable internet. Digital learning systems are crucial for education, and data collected can analyse students learning performances to improve support.FindingsThe resultant system has been tested in various scenarios to ensure it is robust when students’ submissions are collected. Furthermore, issues around student familiarity and ability to use online systems have been considered due to early feedback.Research limitations/implicationsMonitoring asynchronous collaborative learning systems through analytics can assist students learning in their own time. Learning Hubs can be easily set up and maintained using micro-computers now easily available. A phone interface is sufficient for learning when video and audio submissions are supported in the LMS.Practical implicationsThis study shows digital learning can be implemented in an offline environment by using a Raspberry Pi as LMS server. Offline collaborative learning in remote communities can be achieved by applying asynchronized data syncing techniques. Also asynchronized data syncing can be reliably achieved by using change logs and incremental syncing technique.Social implicationsFocus on audio and video submission allows engagement in higher education by students with lower literacy but higher practice skills. Curriculum that clearly supports the level of learning required for a job needs to be developed, and the assumption that literacy is part of the skilled job in the workplace needs to be removed.Originality/valueTo the best of the authors’ knowledge, this is the first remote asynchronous collaborative LMS environment that has been implemented. This provides the hardware and software for opportunities to share learning remotely. Material to support low literacy students is also included. 
653 |a Data analysis 
653 |a Software 
653 |a Students 
653 |a Embedded systems 
653 |a Learning 
653 |a Internet access 
653 |a Internet 
653 |a Hardware 
653 |a Literacy 
653 |a Feedback 
653 |a Education 
653 |a On-line systems 
653 |a Educational materials 
653 |a Microcomputers 
653 |a Minicomputers 
653 |a Databases 
653 |a Learning management systems 
653 |a Modular structures 
653 |a Collaborative learning 
653 |a Data collection 
653 |a Colleges & universities 
653 |a Wireless access points 
653 |a Educational Resources 
653 |a Electronic Learning 
653 |a Educational Environment 
653 |a Tables (Data) 
653 |a Teaching Methods 
653 |a Educational Technology 
653 |a Multimedia Materials 
653 |a Management Systems 
653 |a Instructional Materials 
653 |a Cooperative Learning 
653 |a Algorithms 
700 1 |a Phong Lam Nguyen  |u College of Engineering, IT and Environment, Charles Darwin University, Darwin, Australia 
700 1 |a Kutay, Cat  |u College of Engineering, IT and Environment, Charles Darwin University, Darwin, Australia 
773 0 |t Interactive Technology and Smart Education  |g vol. 21, no. 1 (2024), p. 67-82 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2915062950/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/2915062950/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2915062950/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch