Search results

This study aims to explore how learners prefer to interact with microlearning videos. Microlearning is an emerging topic in work-based learning, and the benefits of using video in supporting learning have been widely discussed. However, only very few of previous works were conducted on discussing how learners prefer to interact with microlearning video. This paper aims to fill this knowledge gap.

A questionnaire was used in this study for data collection purposes. In total, the invitation had been sent to 236 enrolled learners from the three targeted modules through emails. A total of 77 participants completed the survey with the response rate of 32.6%. The chi-square test is used in this study in order to conclude whether the findings from the sample related to hypotheses are statistically significant.

By analysing primary data collected from a United Kingdom (UK) university, the findings suggest that 1) the perceived usefulness of the control functions and the expression functions of multimedia microlearning videos are generally high and 2) more participants, on the one hand, prefer to have more control in their multiple-choice questions’ arrangement and open-ended questions’ arrangement; on the other hand, there was no significant difference on the preference of when to attempt assessment.

This is the first time that a study like this had been conducted to review and discuss the interactive preferences between learners and multimedia microlearning. This study could shed some lights on future research in the field of microlearning and work-based learning.

With the progress of new technologies of information and communication, more and more producers of data exist. On the other hand, the web forms a huge support of all these kinds of data. Unfortunately, existing data is not proper due to the existence of the same information in different sources, as well as erroneous and incomplete data. The aim of data integration systems is to offer to a user a unique interface to query a number of sources. A key challenge of such systems is to deal with conflicting information from the same source or from different sources. We present, in this paper, the resolution of conflict at the instance level into two stages: references reconciliation and data fusion. The reference reconciliation methods seek to decide if two data descriptions are references to the same entity in reality. We define the principles of reconciliation method then we distinguish the methods of reference reconciliation, first on how to use the descriptions of references, then the way to acquire knowledge. We finish this section by discussing some current data reconciliation issues that are the subject of current research. Data fusion in turn, has the objective to merge duplicates into a single representation while resolving conflicts between the data. We define first the conflicts classification, the strategies for dealing with conflicts and the implementing conflict management strategies. We present then, the relational operators and data fusion techniques. Likewise, we finish this section by discussing some current data fusion issues that are the subject of current research.