Contribution: This article describes the process used to create a questionnaire to evaluate the usability of mobile learning applications (CECAM). The questionnaire includes specific questions to assess user interface usability and pedagogical usability. Background: Nowadays, mobile applications are expanding rapidly and are commonly used in…

Heuristic evaluation is a fast and easy way to detect usability problems. Nielsen (1994) proposed ten heuristics that are being widely used to conduct heuristic evaluation. Utilizing these heuristics for mobile learning applications is not very effective because they are generic and were not developed taking mobile devices into consideration. In…

Heuristic evaluation is a fast and cheap method that can be used to identify usability flaws in mobile learning applications. In this paper, we proposed a framework for heuristic evaluation of mobile learning applications to ensure that best practices are followed, hence saving time and effort in conducting a heuristic evaluation. Ten case studies…

Digital learning environments have been gaining prominence during the last few years. In particular, the rising usage of mobile devices, including smartphones and tabs, has invited researchers to design and develop learning applications and games for such platforms. Mobile applications and games have been developed for learning languages like many…

The article analyzes the success of interactive methods for evaluating digital tools and digital games with a focus on usability. To do so, it maps out the game's heuristic evaluations of usability, called playability. In this context, a bibliographic review was performed, seeking to encompass the most prominent authors as well as the articles…

The Early Learning STEM Australia (ELSA) pilot was a year-long investigation involving 300 educators and 4 500 four-year old children in one hundred learning centres across Australia. This paper reports on a pedagogical and design framework that was constructed to promote children's STEM engagement across digital and non-digital learning…

The Experience, Represent, Apply (ERA) heuristic is an innovation of the Early Learning STEM Australia (ELSA) project. It provided educators with an approach that embeds digital technologies in play-based learning in such a way that the focus of the learning remains on the child and not on the device. This paper reports on the experiences of early…

Teaching computer coding to children from a young age provides with them a competitive advantage for the future in a continually changing workplace. Programming strengthens logical and critical thinking as well as problem-solving skills, which lead to creative solutions for today's problems. The Little Programmer is an application for mobile…

Teaching practices within educational institutions have evolved through the increased adoption of technology to deliver the curriculum and the use of computers for assessment purposes. For educational technologists, there is a vast array of commercial computer applications available for the delivery of objective tests, and in some instances,…

Optimizing the usability of e-learning materials is necessary to maximize their potential educational impact, but this is often neglected when time and other resources are limited, leading to the release of materials that cannot deliver the desired learning outcomes. As clinician-teachers in a resource-constrained environment, we investigated…

This article describes the development of learning widget on m-learning and e-learning environments. A widget is a small, simple and useful application supporting user-oriented contents. The user may select and install widgets that are convenient as well as an auto-updating application including weather or calendar. These widgets are especially…

Item response theory models arose from the inherent limitations of classical test theory methods of test analysis. A brief description of those limitations and the corresponding enhancements provided by item response models is provided. Further, an examination of the popular Rasch one-parameter latent trait model is undertaken. Specific…

As a demonstration of the application of heuristic devices to decision-theoretical techniques, an interactive computer program known as MAUD (Multiattribute Utility Decomposition) has been designed to support decision or choice problems that can be decomposed into component factors, or to act as a tool for investigating the microstructure of a…

This paper discusses the incorporation of heuristics in computerized decision aids that are used for structuring decision problems. Decision theory is described in terms of linked subsystems, and sites where it is necessary to employ heuristic rather than normative, algorithmic procedures are identified. Production systems are then used to…

Reviews approaches to machine learning (development of techniques to automate acquisition of new information, skills, and ways of organizing existing information) in symbolic domains. Four categorical tasks addressed in machine learning literature are examined: learning from examples, learning search heuristics, learning by observation, and…