The present contribution describes a project which was carried out by nine European Universities to explore Self-Regulated Learning (SRL) in Technology Enhanced Learning Environments (TELEs). The methodology of identifying and evaluating TELEs which support SRL and the results from case studies are described and discussed.

We discuss the relationship between the fields of statistical relational learning (SRL) and multi-agent systems (MAS). We identify a number of SRL research problems that have analogies in MAS research, and vice-versa, and suggest how research from each area can be leveraged to provide solutions for the other.

We propose a novel MLN-based method that collectively conducts SRL on groups of news sentences. Our method is built upon a baseline SRL, which uses no parsers and leverages redundancy. We evaluate our method on a manually labeled news corpus and demonstrate that news redundancy significantly improves the performance of the baseline, e.g., it improves the F-score from 64.13% to 67.66%. *

Background & Objective: Self-regulated learning (SRL) is an active and self-centered process in which learners systematically guide and evaluate their cognitive, environmental, motivational, and behavioral factors to achieve learning goals using special strategies. The present study aimed to validate the Persian version of the short SRL questionnaire as an effective tool. Materials & Methods: ...

BACKGROUND Long-acting somatostatin receptor ligands (SRL) with product-specific formulation and means of administration are injected periodically in patients with acromegaly and neuroendocrine tumors. A simple decision-tree model aimed at comparing cost savings with ready-to-use Somatuline Autogel(®) (lanreotide) and Sandostatin LAR(®) (octreotide) for the UK, France, and Germany. The drivers ...

BACKGROUND Problem-based learning (PBL) is most commonly used in medical education to enhance self-regulated learning (SRL) skills. Self-efficacy beliefs affect students' motivation through self-regulatory processes. The purpose of this study is to examine the relationship between medical students' self-reported SRL skills and their self-efficacy in PBL. METHODS A cross-sectional study was co...

Parse-tree paths are commonly used to incorporate information from syntactic parses into NLP systems. These systems typically treat the paths as atomic (or nearly atomic) features; these features are quite sparse due to the immense variety of syntactic expression. In this paper, we propose a general method for learning how to iteratively simplify a sentence, thus decomposing complicated syntax ...

Facilitating undergraduates’ self-regulated learning (SRL) is the key to successful online learning, and teachers’ various feedback plays an important role. Through investigation on Chinese university students’ experience, study found SRL strategies differences in terms of gender, grades achievement rank. The structural equation modeling analysis showed that different teacher can influence stra...

High abstinence rates characterize alcohol-dependent liver graft recipients. The immunosuppressants cyclosporine A (CsA) and tacrolimus (TRL) also inhibit calcineurin (CLN) in the brain. Previously, we found that CsA reduces alcohol consumption in C57BL/6J mice. The goals of the present study were: 1) to compare the ethanol preference effects of CsA against TRL, as well as sirolimus (SRL), an i...

Restrictocin and related fungal endoribonucleases from the α-sarcin family site-specifically cleave the sarcin/ricin loop (SRL) on the ribosome to inhibit translation and ultimately trigger cell death. Previous studies showed that the SRL folds into a bulged-G motif and tetraloop, with restrictocin achieving a specificity of ∼1000-fold by recognizing both motifs only after the initial binding s...