The vast majority of work in Machine Learning has focused on propositional data which is assumed to be identically and independently distributed, however, many real world datasets are relational and most real world applications are characterized by the presence of uncertainty and complex relational structure where the data distribution is neither identical nor independent. An emerging research ...

In this paper, we describe strategies we have used to foster selfregulated learning (SRL) in computer programming course in order to enhance the learning process. Strategies include direct instructions, guided practice and feedback, they were implemented using different tools to train student on SRL skills. Students in this course were enrolled in two sections randomly, one section was consider...

Semantic role labeling (SRL) identifies the predicate-argument structure in text with semantic labels. It plays a key role in understanding natural language. In this paper, we present POLYGLOT, a multilingual semantic role labeling system capable of semantically parsing sentences in 9 different languages from 4 different language groups. The core of POLYGLOT are SRL models for individual langua...

Many Semantic Role Labeling (SRL) combination strategies have been proposed and tested on English SRL task. But little is known about how much Chinese SRL can benefit from system combination. And existing combination strategies trust each individual system’s output with the same confidence when merging them into a pool of candidates. In our approach, we assign different weights to different sys...

Web-based courses have shown to be successful in providing quality distance education. However, due to a national education policy, pure online courses are not permitted in Taiwan. In addition, there exists a lack of appropriate design and delivery of blended learning courses. In this study, the authors conducted a quasi-experiment to examine the effects in applying blended learning (BL) with w...

Spectroscopic imaging has been an increasingly critical approach for unveiling specific molecules in biological environments. Toward this goal, we demonstrate hyperspectral stimulated Raman loss (SRL) imaging by intrapulse spectral scanning through a femtosecond pulse shaper. The hyperspectral stack of SRL images is further analyzed by a multivariate curve resolution (MCR) method to reconstruct...

This paper investigates two aspects of the growing trend towards collaborative learning (CL) and self-regulated learning (SRL) in higher education by examining students’ computing skills in a blended learning environment. The author redesigned a course and adopted web-enhanced CL and SRL to develop undergraduates’ computing skills of web page programming and website building. Three classes with...

the problem of understanding whether Self-Regulated Learning (SRL) is taking place and whether students are developing SRL abilities in a Computer Supported Collaborative Learning (CSCL) environment. To this end, the authors propose a taxonomy of indicators based on Zimmerman’s learning cycle model, with several adaptations derived from subsequent research on SRL in Technology Enhanced Learning...

The purpose of this exploratory study was to examine college instructors’ self-reported use of integrative learning technologies (ILT) to support student selfregulated learning (SRL) in online or blended learning environments. Participants were 12 experienced online instructors in a large mid-Atlantic university. Participants responded to a questionnaire regarding their use of ILT to support SR...

This paper presents a novel featurebased semantic role labeling (SRL) method which uses both constituent and dependency syntactic views. Comparing to the traditional SRL method relying on only one syntactic view, the method has a much richer set of syntactic features. First we select several important constituent-based and dependency-based features from existing studies as basic features. Then,...