English medium instruction has been used in many education levels. Although L2 learners study since primary education, some of them still cannot communicate and write well English. It is probably caused by lack self-esteem, motivation, comprehensible input, interaction. The present aimed to investigate the use on EFL students at tertiary level. This employed a quantitative method. participants ...

In text classification, dictionaries can be used to define human-comprehensible features. We propose an improvement to dictionary features called smoothed dictionary features. These features recognize document contexts instead of ngrams. We describe a principled methodology to solicit dictionary features from a teacher, and present results showing that models built using these human-comprehensi...

Predictive modeling applications have a number of concerns. While predictive accuracy is often the primary concern, other issues such as efficiency and robustness are often considered. It is my position that comprehensibility is another concern in predictive modeling applications, and is often an important one. However, without an understanding of comprehensibility in predictive modeling, it is...

This thesis is concerned with the problem of learning comprehensible theories from structured data and covers primarily classification and regression learning. The basic knowledge representation language is set around a polymorphically-typed, higherorder logic. The general setup is closely related to the learning from propositionalized knowledge and learning from interpretations settings in Ind...

User’s mental representations and cognitive strategies can have a profound influence on how they interact with computer interfaces (Janosky, Smith & Hildreth, 1986). However, there is very little research that elucidates such mental representations and strategies in the context of interactive hypermedia. Furthermore, interface design for hypermedia information presentation systems is rarely dri...

Table A1 summarizes the various characteristics of the synthetic models used in the experiments, including the number of event types, the size of the state space, whether a challenging construct is contained (loops, duplicates, nonlocal choice, and concurrency), and the entropy of the process defined by the model (estimated based on a sample of size 10,000). The original models may contain eith...

Quantitative predictions for complex scientific theories are often obtained by running simulations on computational models. In order for a theory to meet with wide-spread acceptance, it is important that the model be reproducible and comprehensible by independent researchers. However, the complexity of computational models can make the task of replication all but impossible. Previous authors ha...

The digital backchannel Backstage aims at supporting active and socially enriched participation in large class lectures by improving the social awareness of both lecturer and students. For this purpose, Backstage provides microblog-based communication for fast information exchange among students as well as from audience to lecturer. Rating enables students to assess relevance of backchannel mes...