Students' Listening Preferences and Perception In Using XReading Audiobook

The aim of this study is to portray freshmen students’ listening preferences when using XReading audiobook and to describe students’ perception about the improvement of their English skills after using XReading audiobook for several months. This study used mixed method, both quantitative and qualitative to get sets of data. 80 freshmen students, who were also active users of XReading program, were involved as subject of the study. The data were gathered through the combination of close-ended and open-ended questionnaire followed by interview session for participants who did not give clear answer. The data from questionnaire were analyzed using descriptive quantitative while the data from interview were transcribed and analyzed qualitatively. The result shows that most students prefer to have reading-while-listening activity rather than only listening to audiobook. Students can also take advantages of some features provided in XReading audiobook. In addition, students have positive response about XReading audiobook because it has some benefits and is helpful to improve their English skills especially listening skill. Keywords: Listening preferences, Students Perception, XReading audiobook.   &nbsp

Towards the implementation of a preference-and uncertain-aware solver using answer set programming

Logic programs with possibilistic ordered disjunction (or LPPODs) are a recently defined logic-programming framework based on logic programs with ordered disjunction and possibilistic logic. The framework inherits the properties of such formalisms and merging them, it supports a reasoning which is nonmonotonic, preference-and uncertain-aware. The LPPODs syntax allows to specify 1) preferences in a qualitative way, and 2) necessity values about the certainty of program clauses. As a result at semantic level, preferences and necessity values can be used to specify an order among program solutions. This class of program therefore fits well in the representation of decision problems where a best option has to be chosen taking into account both preferences and necessity measures about information. In this paper we study the computation and the complexity of the LPPODs semantics and we describe the algorithm for its implementation following on Answer Set Programming approach. We describe some decision scenarios where the solver can be used to choose the best solutions by checking whether an outcome is possibilistically preferred over another considering preferences and uncertainty at the same time.Postprint (published version

Combining quantifications for flexible query result ranking

Databases contain data and database systems governing such databases are often intended to allow a user to query these data. On one hand, these data may be subject to imperfections, on the other hand, users may employ imperfect query preference specifications to query such databases. All of these imperfections lead to each query answer being accompanied by a collection of quantifications indicating how well (part of) a group of data complies with (part of) the user's query. A fundamental question is how to present the user with the query answers complying best to his or her query preferences. The work presented in this paper first determines the difficulties to overcome in reaching such presentation. Mainly, a useful presentation needs the ranking of the query answers based on the aforementioned quantifications, but it seems advisable to not combine quantifications with different interpretations. Thus, the work presented in this paper continues to introduce and examine a novel technique to determine a query answer ranking. Finally, a few aspects of this technique, among which its computational efficiency, are discussed