We report the results of an empirical analysis of learner discourse wherein we analyze the utility of domain keywords in determining the topics of conversation. The results provide a foundation for agent-based feedback to learners in a collaborative learning environment. We also track user actions on a graphical user interface to determine learners’ progress and the quality of their designs.

Data-driven learning has been recognized a potential tool for enhancing outcomes. The current study designed data-driven hospitality lexis programme to facilitate the of vocabulary by autonomous learners. To achieve objectives, development learners’ knowledge was measured using T-test based on pre-testing and post-testing. In addition, opinions were explored two types questionnaire: Mentimeter ...

The paper presents a simple method of tuning a PD controller for controlling the depth of an autonomous underwater vehicle. The non-linear dynamics of the depth of the vehicle are linearised and approximated as an integrating process with deadtime. The PD controller tuning is then done using gain margin specifications. Keywords—Autonomous Underwater Vehicle, Dead-time, integrating process, PD c...

As online education programs increase their numbers, autonomous learning becomes more necessary to achieve academic success. The present research determines the impact that participating in an course has on students’ language learner autonomy. To quantify this Measuring Instrument for Language Learner Autonomy was applied second and last week of course. By means a paired samples t-test, it conf...

It is well known that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ances...