We describe a statistical Natural Language Generation (NLG) method for summarisation of time-series data in the context of feedback generation for students. In this paper, we initially present a method for collecting time-series data from students (e.g. marks, lectures attended) and use example feedback from lecturers in a datadriven approach to content selection. We show a novel way of constru...

This study investigates the perceptions and preferences of ESL learners in Libyan secondary schools, regarding the corrective feedback. The results are based on the analysis of the responses to 120 questionnaires administered to the students. It confirms the positive value of corrective feedback, which the body of existing research literature in the field states, and also reveals and provides e...

The distinction between concrete and abstract concepts is psychologically valid but so far it can hardly be quantified in any objective way, which prevents it from being further studied in computational linguistics. This paper proposes a systematic way to measure concreteness from the surface structure of dictionary definitions. Comparing the scores from WordNet definitions with human ratings, ...

In most developed countries, gender equality and neutrality have been widely promoted and embraced— through public policy—as a socio-cultural goal since at least the mid-twentieth century. Accordingly, we predicted that a population of highly educated youth from a relatively wealthy developed country (mostly students from a Canadian university) would display little or no significant gender bias...

Food manufacturers need to understand the taste preferences of their consumers in order to develop successful new products. The existence of consumer segments that differ in systematic ways in their taste preferences can have important implications for product development. Rather than developing a product to please all potential consumers, the manufacturer may decide to optimize the product for...

In this paper, we propose a novel ranking framework for collaborative filtering with the overall aim of learning user preferences over items by minimizing pairwise loss. We show minimization problem involves dependent random variables and provide theoretical analysis proving consistency empirical risk in worst case where all users choose minimal number positive negative items. further derive Ne...

The article encompasses the theoretical background and practical concept of teaching/learning through online courses as an example of smart solution of e-learning system adjusting to individual learning preferences, including students’ reflection on the individualized online instruction. First, the ‘Unlocking the Will to Learn’ concept by C.A. Johnston is introduced and implemented in the resea...

This paper describes a multi-agent learning approach to adaptation to users' preferences realized by an interface agency. Using a contract-net-based negotiation technique, agents as contractors as well as managers negotiate with each other to pursue the overall goal of dynamic user adaptation. By learning from indirect user feedback, the adjustment of internal credit vectors and the assignment ...

This paper reports on the design of a vision-based exercise monitoring system. The system aims to promote well-being by making exercise sessions enjoyable experiences, either through real-time interaction and instructions proposed to the user, or via experience sharing or group gaming with peers in a virtual community. The use of avatars is explored as means of representation of the user's exer...