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The implementation of the national education and lifelong education should break through the traditional learning mode in the digital era. A seamless learning environment is the intelligent form of deep integration of digital learning environment and physical learning environment. The development and construction of seamless learning space and platform is a new trend of international mobile learning research and practice. So, the purpose of this paper is to build a seamless learning platform of the open education system by expanding and improving the connotation and extension of seamless learning, based on the theories of mobile learning, ubiquitous learning and open education, combining with the characteristics of the big data era.

A seamless learning platform model will be constructed through constructing five modules including resource integration module, requirement module, management module, teacher integration module, and carrier module, using interdisciplinary research methods (combined with economics), functional analysis, model methods and exploratory research methods. Finally, this paper attempts to realize the application of a seamless learning platform in open education through the strategic path of public-private partnership (PPP).

Seamless learning platform model given by this paper can effectively eliminate the problem of information asymmetry between learner-demander and educational manager through the effective management of carrier fusion module. Furthermore, it can effectively integrate the learning resources and teachers of the open education system and social individual education system, and provide high-quality shared learning resources and diverse stratification teachers to students and social workers through PPP project cooperation ways.

There are many papers on the study of open education and resource construction. However, few papers have studied how to effectively integrate and optimize various existing scattered online resources, including various system courses, teachers and platform systems. The paper provides an effective way to solve the above sub-problems and the realization path/model reference for the effective and accurate promotion of lifelong sustainable learning for all.

This paper aims to identify the digital gaps in seamless learning concept within the higher educational institutions (HEIs) context.

The most cited mobile-assisted seamless learning framework, recent Educause higher education research report and relevant articles have been reviewed.

The digital gaps among educators and students hinder the implementation of the seamless learning framework in HEIs.

The finding will inform HEIs in addressing digital gaps to ensure learning and teaching enhancement with educational technology across institutions. It will also be useful for the design and improvement of the seamless learning framework. The finding may also be useful in creating awareness among educators and students as to the benefit of educational technologies.

No previous viewpoints have been published on digital gaps in the seamless learning concept. The digital gaps among educators and students constitute one of the most critical issues in implementing technology-assisted teaching and learning design in HEIs. This paper addresses the root of the problem by examining the digital gaps among educators and students within the seamless learning framework.

This chapter will explore how the places of learning might look in next generation learning spaces where learners traverse physical and virtual spaces using personalised learning strategies. It will examine how learning spaces may represent ubiquitous spaces in which the learner undertakes some form of study or learning. Although there has been extensive examination of the design of spaces for knowledge generation (Keppell & Riddle, 2012, 2013; Souter, Riddle, Sellers, & Keppell, 2011) there has been little attention given to how learners customise and personalise their own physical and virtual learning spaces as they traverse their learning journey. Seven principles of learning space design will be adapted for use by the personalised learner. Personalised learning strategies encompass a range of knowledge, skills and attitudes that empower the learner to take charge of their learning within next generation learning spaces. Personalised learning consists of six broad concepts: digital citizenship, seamless learning, learner engagement, learning-oriented assessment, lifelong and life-wide learning and desire paths. Teachers will need to assist learners to design their own personalised learning spaces throughout formal education to encourage learners to be autonomous learners throughout their lifetime. In order to assist learners in developing personalised learning strategies we need to teach them about learning space literacies. We can’t assume learners have the knowledge, skills and attitudes to be able to identify and effectively utilise appropriate learning spaces that optimises engagement.

Mobile devices, through their capacity to enable anytime-anywhere learning as well as capture, annotate and share multimedia, offer entirely new ways for students to learn. This chapter provides review of mobile learning with a particular focus on learning design. First various definitions and characteristics of mobile learning are examined in order to establish a common understanding of its boundaries and meaning. Example uses of mobile learning in schools and higher education are described as a way to provide a more concrete understanding of design possibilities. Benefits of mobile learning are unpacked, as distilled from the literature, including the ability to provide flexible, accessible, authentic, personalized, ubiquitous and seamless learning. Mobile learning issues are also examined, including technical problems, cognitive load issues, distraction, equity and safety. A primary school science and a university pre-service teacher education vignette are described so as to offer a more in-depth illustration of what mobile learning can look like and achieve in practice. Finally, mobile learning research findings and observations are synthesized into recommendations, to inform and guide evidence-based mobile learning design practices. Opportunities for future research and investigation are also discussed.

Construction companies are increasingly adopting sensing technologies like laser scanners, making it necessary to upskill the future workforce in this area. However, limited jobsite access hinders experiential learning of laser scanning, necessitating the need for an alternative learning environment. Previously, the authors explored mixed reality (MR) as an alternative learning environment for laser scanning, but to promote seamless learning, such learning environments must be proactive and intelligent. Toward this, the potentials of classification models for detecting user difficulties and learning stages in the MR environment were investigated in this study.

The study adopted machine learning classifiers on eye-tracking data and think-aloud data for detecting learning stages and interaction difficulties during the usability study of laser scanning in the MR environment.

The classification models demonstrated high performance, with neural network classifier showing superior performance (accuracy of 99.9%) during the detection of learning stages and an ensemble showing the highest accuracy of 84.6% for detecting interaction difficulty during laser scanning.

The findings of this study revealed that eye movement data possess significant information about learning stages and interaction difficulties and provide evidence of the potentials of smart MR environments for improved learning experiences in construction education. The research implication further lies in the potential of an intelligent learning environment for providing personalized learning experiences that often culminate in improved learning outcomes. This study further highlights the potential of such an intelligent learning environment in promoting inclusive learning, whereby students with different cognitive capabilities can experience learning tailored to their specific needs irrespective of their individual differences.

The classification models will help detect learners requiring additional support to acquire the necessary technical skills for deploying laser scanners in the construction industry and inform the specific training needs of users to enhance seamless interaction with the learning environment.

This response paper aims to comment on specific aspects of the position paper.

In this paper, the author presents a response to Fischer et al.'s contribution on “The Challenge for the Digital Age: Making Learning a Part of Life.” While imperatives and narratives of learning in the future have been well articulated in the literature, their paper provides insights into lifelong learning in the digital age.

The author raises comments on the comprehensiveness of the lifelong learning perspectives and the calls to action. Over the years, with multiyear efforts on the research-based evolution of the design, implementation and adoption of technology-supported learning environments in some parts of the world, the author believes well-researched innovative pedagogy and design principles have already to some extent impacted transformation of learning and teaching in normal schools. By referring to the work in the running of a model school in Taiwan, the author demonstrate some of the pathways that can guide innovation and work towards operationalizing a futuristic vision that is resonant with the one painted in the paper. The paper will end with some comments on how narratives on the future of learning will evolve.

In trying to understand the lens that the vision would bring to learning on the digital edge, the author has provided commentaries to probe into the comprehensiveness of their vision of future learning. From an Asian perspective, the author describes one effort that can help make progress in moving towards this vision. It involves realizing the vision by grounding our designs in real experiments or instantiations, such as the interest-driven creator (IDC) experimental school in Taiwan, and highlight past research efforts which have been successful in transformation of classrooms and schools such as developing seamless learning for connecting learning in different spaces afforded by mobile digital devices.

Higher education models continue to transform and advance across multiple trajectories spurred by knowledge economies and digital futures. The demand for disciplinary expertise, agile and responsive transition of graduates from university to industry, and employees who are adept and multi-skilled at working with global teams, has continued to raise the significance of international curricula and wider student experiences.

This chapter discusses the changing landscape of higher education and the disruptive influences that impinge on existing pedagogical models in the delivery of learning and teaching. It analyses the need for ‘just in time’, stackable units of learning that support learners in their lifelong learning journeys, embedded with 21st Century Learning skills. Further, the chapter will review existing models for course and curriculum development, recommend appropriate course development processes that are seamless, and meet industry and professional disciplinary agency requirements.

This paper aims to discuss the use of student affairs professionals in short-term, faculty-led study abroad programs to enhance student experiences, support faculty by taking over the “student support” role, and manage risk.

This is a conceptual paper that introduces the value that student affairs professionals can bring to the study abroad context. A short case study is embedded.

Although conceptual, this paper identifies the benefits of a partnership between student affairs and academic affairs in the study abroad context.

This paper is not empirical.

The practical implications of using student affairs professionals in the study abroad context include enhanced student experiences through both pre-departure preparation and ongoing reflection, increased support for faculty which may result in less faculty burnout and stress, and additional staff to help mitigate and manage risk.

The collaboration between student affairs and academic affairs in the study abroad context has only been addressed in one other manuscript (from 2005). There is a great potential value in developing partnerships between these two divisions with respect to study abroad.

This paper aims to focus on academic library managers’ learning practices in the context of cooperative work supported by computational artefacts. Academic library managers’ everyday work is mainly cooperative. Their cooperation is supported predominantly by computational artefacts. Learning how to use the computational artefacts efficiently and effectively involves understanding the changes in everyday work that affect managers and, therefore, it requires deep understanding of their cooperative work practices.

Focused ethnography was conducted through participant observations, interviews and document analysis. Ten managers from a university library in Sweden participated in the research. A thematic method was used to analyse the empirical material. Computer supported cooperative work (CSCW) and work-integrated learning was used as the conceptual lens.

Five learning practices were identified: collaboration, communication, coordination, decision-making processes and computational artefacts’ use. The findings show that learning is embedded in managers’ cooperative work practices, which do not necessarily include sufficient training time. Furthermore, learning was intertwined with cooperating and was situational. Managers learned by reflecting together on their own experiences and through joint cooperation and information sharing while using the computational artefacts.

The main contribution lies in providing insights into how academic library managers learn and cooperate in their everyday work, emphasizing the role of computational artefacts, the importance of the work context and the collective nature of learning. It also highlights the need for continual workplace learning in contemporary knowledge work environments. Thus, the research generates contributions to the informatics field by extending the understanding of managers’ work-integrated learning in their everyday cooperative work practices supported by computational artefacts’ use. It also contributes to the intersection of CSCW and work-integrated learning.