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Online learning and the use of technology-based learning management systems (LMS) are on the rise in higher education. The purpose of this study is to explore how the frequent use of these LMS mediates the relationship between three types of learner interactions and student outcomes.

This was an exploratory study using surveys that collected information on students’ use of LMS, their interactions and student outcomes. The participants of this study consisted of 362 undergraduate students from a South Korean University who were taking online classes as part of their degree.

The findings support existing research that increased learner interactions have positive effects on learning outcomes. However, some of the positive effects were reduced when considering the effect of higher levels of LMS use. In particular, learner-to-learner interactions.

This information will enable educators to identify, measure and evaluate their online courses and consider how to integrate LMS use effectively. Results imply that focus may need to be on how learner to learner interactions can be best supported through the application of LMS.

This information will enable educators to identify, measure and evaluate their online courses and consider how to integrate LMS use effectively.

Learner-to-learner interaction through social networking platforms may be more beneficial in socially constructing knowledge than formalizing interaction through LMS.

This study contributes to the field of online learning by suggesting that the importance of some types of learner interactions may be overestimated in relation to the importance of LMS use.

The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether gamification and personalization as environmental stimuli to learners’ learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs) and, in turn, their learning outcomes in MOOCs.

Sample data for this study were collected from learners who had experience in taking gamified MOOCs provided by the MOOCs platform launched by a well-known university in Taiwan, and 331 usable questionnaires were analyzed using structural equation modeling.

This study demonstrated that learners’ perceived gamification and personalization in MOOCs positively influenced their cognitive LE and emotional LE elicited by MOOCs, which jointly explained their LP in MOOCs and, in turn, enhanced their learning outcomes. The results support all proposed hypotheses and the research model, respectively, explaining 82.3% and 65.1% of the variance in learners’ LP in MOOCs and learning outcomes.

This study uses the S-O-R model as a theoretical base to construct learners’ learning outcomes in MOOCs as a series of the psychological process, which is influenced by gamification and personalization. Noteworthily, while the S-O-R model has been extensively used in prior studies, there is a dearth of evidence on the antecedents of learners’ learning outcomes in the context of MOOCs, which is very scarce in the S-O-R view. Hence, this study enriches the research for MOOCs adoption and learning outcomes into an invaluable context.

This study aims to propose a conceptual structural equation model to investigate the relationships among e‐learning system quality, e‐learning readiness, e‐learners' competency as well as learning outcomes, and to demonstrate the direct and indirect effect of e‐learning system quality and e‐learning readiness on learning outcomes from the perspectives of e‐learners' competency.

A questionnaire was distributed to 379 full‐time employees from ten technological companies in Taiwan who have had e‐learning experience (n=379). Data were analyzed by employing structural equation modeling.

Results reveal that both e‐learning system quality and e‐learning readiness have a direct and significant impact on e‐learners' competency. However, e‐learning system quality and e‐learning readiness influence learning outcomes indirectly through e‐learners' competency. In addition, e‐learners' competency has direct and positive significant influence on learning outcomes.

Based on these findings, organizations in Taiwan that would like to implement e‐learning with their employees should focus on improving individuals' online learning skills such as self‐direction, meta‐cognitive, and collaborative skills.

The findings created an understanding of what attributes of external and internal factors influence the outcome of e‐learning in high tech companies. In terms of research contributions, the study extends previous researches by identifying the mediating effect of e‐learning competency on the relationship between e‐learning system quality, e‐learning readiness and learning outcome. Organizations that would like to adopt e‐learning to improve employees' knowledge and skills will be able to apply strategies based on the findings from the research.

This paper explores the context, development and outcomes of a cross-European in-service training programme, developing mobile learning practices in school classrooms – MLEARN – in The Netherlands, England, Greece and Italy. This paper focuses on: contextual backgrounds; a training needs analysis; and initial, mid-term and final outcomes from teachers and learners.

Evidence was gathered about: contextual backgrounds through literature reviews and key informant responses; a training needs analysis through online survey responses from teachers and trainers; and outcomes of uses from five surveys, largely completed online by teachers and learners, after some 2, 3, 5, 9 and 13 months of use.

Findings from survey periods were compared to identify shifts and gaps. The training programme led to successful outcomes; there was rapid uptake and use of the mobile devices, as well as shifts in emphasis across the period of the pilot, dependent on contextual factors. But long-term integration requires focus on specific learning activities, as well as on integration beyond a one-year period.

Uses of mobile devices are increasing, across countries and age ranges. How devices can be used to support learning and teaching in contemporary contexts is not temporally independent. Country curricula, legislation, training programme access, and teacher and learner awareness and perceptions, all influence practice.

Teachers have limited access to training programmes in this field. This study investigated a key pilot in this under-developed research area. Key factors need to be considered when programmes are developed and run.

This study aims to examine live streaming experiences of business students’ at the tertiary education level, and how the use of this interactive platform satisfies their affective, cognitive, social and hedonic needs in learning. Likewise, it explored the influence of live streaming class on the learning outcome needed in achieving self-directed learning.

Drawing on the uses and gratifications theory, a conceptual framework was developed to discover the impact of interactive live streaming platform in meeting learners’ needs required for self-directed learning. A survey was conducted with a sample of 402 business undergraduate students from 5 universities. Data was analyzed with covariance-based structural equation modeling.

This study confirmed that learners’ gratifications gained from live streaming encouraged them to collaborate with the instructors in meeting the learning outcomes. The findings also supported that the interactive nature of live streaming offers the opportunity for students to learn independently. Thus, it sheds new light on how a live streaming learning environment can be further developed in promoting self-directed learning.

This study offers a novel understanding of live stream class adoption by examining learners’ needs from a uses and gratification perspective. It also contributed new insight to the existing literature on live streaming technology use in education to promote self-directed learning.

The purpose of this study is to scrutinize the influence of individual learning styles on the effectiveness of augmented reality (AR)-based learning in structural engineering. There has been a lack of research examining the correlation between learning efficiency and learning style, particularly in the context of quantitatively assessing the efficacy of AR in structural engineering education.

Using Kolb’s experiential learning theory (ELT), a model that emphasizes learning through experience, students from the construction management department are assigned four learning styles (converging, assimilating, diverging and accommodating). Performance data were gathered, appraised, and compared through the three dimensions from the Knowledge, Attitude and Practices (KAP) survey model across four categories of Kolb’s learning styles in both text-graph (TG)-based and AR-based learning settings.

The findings indicate that AR-based materials positively impact structural engineering education by enhancing overall learning performance more than TG-based materials. It is also found that the learning style has a profound influence on learning effectiveness, with AR technology markedly improving the information retrieval processes, particularly for converging and assimilating learners, then diverging learners, with a less significant impact on accommodating learners.

These results corroborate prior research analyzing learners' outcomes with hypermedia and informational learning systems. It was found that learners with an “abstract” approach (convergers and assimilators) outperform those with a “concrete” approach (divergers and accommodators). This research emphasizes the importance of considering learning styles before integrating technologies into civil engineering education, thereby assisting software developers and educational institutions in creating more effective teaching materials tailored to specific learning styles.

This chapter outlines how Pearson, the world’s largest education company, and its CEO John Fallon are acting as trailblazers of Jugaad Innovation (https://hbr.org/2014/12/what-frugal-innovators-do) in education by embedding a focus on learner outcomes – “efficacy” – at the heart of the company. The purpose of the chapter is to highlight practical examples of how this innovation has affected business strategy and decision-making, enabling the company to be able to have a greater impact on learning with the aim of simultaneously helping the business to grow financially. Many of these examples are from products and units that are continuing to embrace and adopt efficacy; they represent live examples of best practice.

This chapter provides an overview of how the drive toward efficacy represents a new, innovative way of doing business. The approach is not new to education, but putting a focus on learner outcomes at the center of traditional business operations represents a step-change from how other companies in the sector operate. The chapter will also look at the Office of the Chief Education Advisor, a central intrapreneurial unit that continues to lead the global efficacy agenda, with the aim that efficacy becomes so embedded in the company fabric that it becomes irreversible. In addition, the chapter provides some other examples of specific frameworks, tools and units that operate with an innovative and intrapreneurial mindset.

This study presents a case study in a major private company and the way the applied approach affected the company. The content of the chapter is taken from a live case and represents a unique insight into the ongoing application of innovation and intrapreneurship in the field.

In this paper, we review the literature on learner control and discuss the implications that increased control may have for training in e-learning environments. The purpose of this paper is to provide a comprehensive review of the learner control literature, focusing on adults and workplace training. We begin by reviewing the literature on learner control, focusing on the positive and negative effects associated with providing adult learners with control in e-learning environments. We organize our review into instructional design factors that have been manipulated to provide learners with control and person issues that moderate the relation between learner control and outcomes. Then, we summarize developments in training research and in adult learning that relate to learner control in order to provide a theoretical context for understanding learner control in adult workplace e-learning.

This study aimed to match high-impact, experiential learning with equally powerful assessment practices.

We observed three examples of programs, analyzing individual student artifacts to identify multiple learning outcomes across domains through a novel approach to assessment.

Important outcomes from this effort were boundary-crossing qualities made visible through a multi perspective assessment process.

Future research should focus on the nature of experiential learning and measurement thereof.

Learning design should consider experiences as a means to reflection, which complement content delivery. Instructors may restructure course credit loads to better reflect additional learning outcomes.

Learners with this feedback may be able to better articulate sociocultural learning.

Describes learning in experiential and high-impact education; novel assessment of experiential learning in university setting.

Aims to develop a theoretical model for understanding and enhancing effective self‐learning in a networked human and information technology (IT) environment. Recent educational reforms in different parts of the world emphasize that independent self‐learning throughout the life span is a sine qua non of education. Parallel to this is the development that the Internet and information technology have changed the modes of teaching and learning fundamentally and created unlimited opportunities for learning. There is an urgent need to develop a theory or model that can be used to deepen the understanding of the nature and process of self‐learning and facilitate students becoming highly motivated and effective self‐learners with the support of a networked human and IT environment. The implications drawn from the theory can contribute to the paradigm shift of education in current worldwide education reforms.