2 The purpose of this chapter is to evaluate the relation between the 21 st Century Competencies (21CC) and self-regulated learning (SRL). The 21CC framework emerged out of efforts to improve and reform educational systems in order to better prepare students to be for 21 st Century Skills, 2009a, 2009b). Within this framework, competencies move beyond simple content area knowledge or skills to ...

Interest in statistical relational learning (SRL) has grown rapidly in recent years. Several key SRL tasks have been identified, and a large number of approaches have been proposed. Increasingly, a unifying framework is needed to facilitate transfer of knowledge across tasks and approaches, to compare approaches, and to help bring structure to the field. We propose Markov logic as such a framew...

The purpose of this study was to investigate the effects of design strategies for promoting students’ self-regulated learning skills on students’ self-regulation and achievements. Seven strategies for promoting students’ SRL are identified through the literature review and applied into the experimental group: goal setting, self-evaluation, self-monitoring, cognitive strategies, resource managem...

In two randomized experiments, one conducted online (n = 174) and one in the classroom (n = 267), we tested the effects of two types of self-regulated learning (SRL) strategies on students' intentions to put effort into professional development activities: strength-based SRL strategies (i.e., identifying perceived relative strengths and, subsequently, selecting professional development activiti...

The COVID-19 pandemic has forced universities to make a radical switch from face-to-face traditional teaching (TT) completely online learning (OL). Thus, many studies proposed the proper OL environment for specific subject and evaluated its effectiveness. However, few have empirically compared with TT determine which better More importantly, an self-regulated (SRL) ability of student interactiv...

During phase I/II clinical trials of sirolimus (rapamycin; SRL), therapeutic drug monitoring was performed with a multistep liquid-liquid extraction of 1-mL aliquots of whole blood followed by reversed-phase HPLC with ultraviolet detection. Blood was sampled according to a standardized protocol and clinical status. SRL concentrations were interpolated from calibration curves with a linear range...

BACKGROUND We investigated the potential of conversion to sirolimus (SRL) as a primary immunosuppressant in attenuating cardiac allograft vasculopathy progression. METHODS AND RESULTS Twenty-nine cardiac transplant recipients were converted to SRL 3.8+/-3.4 years after transplantation with complete calcineurin inhibitor (CNI) withdrawal. Secondary immunosuppressants (azathioprine or mycopheno...

We present an approach to automatic semantic role labeling (SRL) carried out in the context of the D-coi project. Although there has been an increasing interest in automatic SRL in recent years, previous research has focused mainly on English. Adapting earlier research to the Dutch situation poses an interesting challenge especially because there is no semantically annotated Dutch corpus availa...

This paper suggests two ways of improving semantic role labeling (SRL). First, we introduce a novel transition-based SRL algorithm that gives a quite different approach to SRL. Our algorithm is inspired by shift-reduce parsing and brings the advantages of the transitionbased approach to SRL. Second, we present a self-learning clustering technique that effectively improves labeling accuracy in t...

Previous studies on Chinese semantic role labeling (SRL) have concentrated on single semantically annotated corpus. But the training data of single corpus is often limited. Meanwhile, there usually exists other semantically annotated corpora for Chinese SRL scattered across different annotation frameworks. Data sparsity remains a bottleneck. This situation calls for larger training datasets, or...