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Given the persistent receptive skills challenges faced by language learners and the numerous merits of using technologically-enhanced learning in the form of mobile-assisted language learning in language teaching, this study decides to incorporate a context-analysis-practice-exploration lesson-planning framework with mobile learning to improve the receptive skills of learners. This step is necessary on the recommendation by scholarly research that while implementing technology, teacher training, digital literacy and expertise, incorporating good teaching practices and lesson planning frameworks may assist in yielding positive results.

This study decides to utilize a mixed-method research design through an experimental approach to elicit information from 90 EFL students concerning the effectiveness of incorporating the context-analysis-practice-exploration framework in a mobile-leaning mode instructional delivery to improve their reading and listening skills.

After collecting and analyzing data, the study found that while the participants perceived enhanced-mobile learning to make lessons enjoyable, integrating this framework and m-learning improved their reading skills. This study used notable findings to make pedagogical conclusions on the objective of this study.

This study contributes through empirical evidence on the effectiveness of incorporating mobile learning and a responsive lesson planning framework towards improving English as a foreign language learners' learning outcome. Besides, this study is the first to probe and unpack the effectiveness of a responsive lesson-planning framework in language education.

This study aims to use eye-tracking technology to conduct an empirical study about online learning process analysis, thus aiming to understand the attentional preferences and learning paths in online learners.

With eye movement tracking and data analysing technology, the Tobii X120 eye-tracking instrument, Tobii studio and online learning platform are used to record and visualise data of eye moving and learning steps during the real task-based online learning processes of 14 online learners. According to Barbara A. Soloman’s learning style classification framework, these learners’ learning style was presented in four dimensions. Based on data of eye moving, leaning style and operation in online course, the correlation about learners’ preferences of learning content, online learning paths and learning style were analysed based on according data.

The paper provides empirical insights about how change is brought about during online learning. It is found that there is no significant difference in attention preference between the students with the difference on the learning style of visual-verbal, although each person has a different attention preference on the learning content.

The limitation of this study is that only one common type of video learning process is studied. The learning process of various types of instructional videos in online learning will be done in future research.

In this study, eye-movement tracking technology is used to understand students’ learning path and learning preference in the online learning process, which is helpful to optimise the online learning process and improve the efficiency of online learning.

This research findings have been approved by relevant experts and have won the first prize in the school-level competition of South China Normal University in China.

In this study, the technology of psychology (eye-tracking technology) is introduced into the study of real task-based online learning process in the subject of educational technology, realising the integration of multi-disciplinary research techniques and methods.

With shortening product life cycles and an increasing number of product variants, manufacturing firms perform more production ramp-ups. In this context, learning is crucially important to quickly achieve high production process quality and stability. The paper aims to discuss this issue.

Through a laboratory experiment, this study analyzes spillover learning between consecutive ramp-ups and how this phenomenon is influenced by tacit knowledge transfer through observation and imitation.

The results prove the existence of spillover learning between consecutive ramp-ups. Moreover, they provide evidence how tacit knowledge transfer through observation and imitation enhances learning of new tasks in consecutive production ramp-ups.

Future research could focus on the specific psychological processes driving tacit knowledge transfer and spillover learning, a topic which is only touched upon in this paper.

The findings show that manufacturing firms should not only aim at reaching a steep learning curve during a single production ramp-up, but should also take into account the effects of spillover learning with regard to future production ramp-ups. Furthermore, the paper provides novel insights concerning the allocation of workers to production tasks with regard to previous experience when introducing new personnel and during ramp-up phases.

Previous evidence on the existence and characteristics of spillover learning in production ramp-up situations is not conclusive. This paper provides new and unambiguous insights by considering different organizational settings.

A series of seven empirical studies conducted in Sheffield lend support to the notion that learners do spontaneously display styles of information processing behaviour originally identified by Pask and Scott, that even versatile postgraduate students are susceptible to the effects of matching and mismatching of teaching and learning styles, and that the arena in which these learning styles may be observed extends beyond learning to information seeking activity including database searching. Much research is still to be done to resolve the enigma of learning styles. However, arguably Pask’s time has come in the sense that current computing software and educational infrastructure now allow with relative ease the testing of the potential of Pask’s constructs using large samples of students, and the realisation of this potential in the development and delivery of mainstream teaching and learning resources.

The aim of the Youth Training Scheme [1] is to provide young people entering the labour market with a broad‐based and integrated training programme which will:

The purpose of the paper is to develop a mathematical model that describes group learning processes with and without worker turnover.

Based on an extensive literature review, fundamental characteristics of group learning processes are first identified and then incorporated into a group learning curve (GLC). The developed GLC is then validated by fitting to empirical data.

The results show that the behaviour of the developed model is in conformance with the characteristics identified in the literature. A comparison with two other learning curves that have frequently been discussed in the literature shows that the GLC developed in this paper is a good mathematical representation of group learning processes.

The model developed in this paper enables practitioners to predict performance improvement in groups.

The paper is one of the first to propose a mathematical formulation of a GLC.

Increasing constraints on personnel and resources have led to a focus on alternative methods of transmitting knowledge to novices, whether university students or newly hired staff. This chapter focuses on one such alternative through the use of a technology-based educational delivery system (TBEDS). Prior research has addressed individual components of technology-supported systems or performed experiments of limited time and direct external relevance to the participants, but has not addressed the effect of a holistic approach to technology-based learning on users. This study capitalizes on a unique, holistically designed TBEDS to longitudinally examine the impact of systems on novices' procedural knowledge acquisition under conditions of actual usage. The longitudinal data also illustrates the role of user-determined experiential practice on achievement as moderated by comfort with technology. The findings indicate a strong relationship between the use of a TBEDS for repeated experiential practice and procedural knowledge acquisition. Individual components of effort (quantity of problems attempted, frequency of practice sessions, and quality of practice) are examined, with quantity being significantly positively related to performance, as is quality when the user is accountable to an external authority for that quality.