We examined the facilitation of shared epistemic agency through a knowledge‐building (KB) design that included analytics‐supported collective reflective assessment (AsCRA). Forty undergraduate students taking a Liberal Studies course at a university in central China used the promising ideas tool and the knowledge building discourse explorer to self‐analyze the online discourse they had created in Knowledge Forum® (KF), an online discourse environment; 34 students in a comparison section of the same course used KF but did not use the additional tools. Both classes were taught by the same teacher and studied the same inquiry topics. Multifaceted analysis of students' interaction in and the quality of discourse on KF, an educational online platform, indicated that analytics‐supported reflective assessment helped them to develop high‐level shared epistemic agency in the KB process. Qualitative analysis showed that AsCRA helped students to focus on high‐level goals (idea negotiation, synthesis of ideas and rise above thinking) in KB, and to engage in continuous assessment, reflection, and action planning to regulate and improve their discourse. The findings have important implications for the design of technology‐rich environments to support learners, and may help teachers identify the potential uses of such environments to encourage learners to engage in productive collaborative inquiry and develop metacognition and agency.
Previous research has shown that body sway (both standing and seated) is related to the accuracy of affordance judgments. The authors investigated the influence of seated head and torso movement on the perception of a novel affordance for wheelchair locomotion. Healthy adults without prior wheelchair experience judged the lowest lintel under which they could roll in the wheelchair. Prior to judgments, participants were given brief (≈ 2 min) practice at self-controlled wheelchair locomotion. During practice, the participant's head either was or was not restrained within the wheelchair. During the subsequent judgment session, the participant's head was or was not restrained. The accuracy of affordance judgments was influenced by restraint during the practice session and also by restraint during the judgment session. The authors collected data on head movement during the judgment session (when participants were not restrained). These data revealed that movement during judgment sessions was influenced by whether or not participants were restrained during the practice session. Overall, the results reveal that the availability of head movements (i.e., being unrestrained) and the nature of head movements (during unrestrained judgment sessions) were causally related to the accuracy of affordance judgments.
The aim of the paper is to use data mining technology to establish a classification of breast cancer survival patterns, and offers a treatment decision-making reference for the survival ability of women diagnosed with breast cancer in Taiwan. We studied patients with breast cancer in a specific hospital in Central Taiwan to obtain 1,340 data sets. We employed a support vector machine, logistic regression, and a C5.0 decision tree to construct a classification model of breast cancer patients' survival rates, and used a 10-fold cross-validation approach to identify the model. The results show that the establishment of classification tools for the classification of the models yielded an average accuracy rate of more than 90% for both; the SVM provided the best method for constructing the three categories of the classification system for the survival mode. The results of the experiment show that the three methods used to create the classification system, established a high accuracy rate, predicted a more accurate survival ability of women diagnosed with breast cancer, and could be used as a reference when creating a medical decision-making frame.
This study was aimed to explore the differential expression of long noncoding RNAs (lncRNA)‐PCAT1, miR‐145‐5p and TLR4 in osteogenic differentiation via the Toll‐like receptor (TLR) signalling pathway and consequently determine the potential molecular mechanism. The mRNAs and pathways related to the osteogenic differentiation in human adipose‐derived stem cells (hADSCs) were analysed by bioinformatics. The MiRanda and TargetScan database were employed to detect the potential binding sites of miRNAs on lncRNAs and mRNAs. The differential expression of lncRNA‐PCAT1, miR‐145‐5p and TLR4 were detected by qRT‐PCR. Rrelated protein expression was analysed by Western blot. The targeted relationships between lncRNA‐PCAT1, miR‐145‐5p and TLR4 were verified by dual‐luciferase reporter assay. Alkaline phosphatase (ALP) activity and ARS staining assays were used to measure the impacts exerted by lncRNA PCAT1, miR‐145‐5p and TLR4
mRNA on osteogenic differentiation. After the induction of osteoblast differentiation, the expression of lncRNA‐PCAT1 and TLR4 increased, while the expression of miR‐145‐5p decreased. Dual‐luciferase reporter assay confirmed the targeted relationship between lncRNA‐PCAT1, miR‐145‐5p, and TLR4. LncRNA‐PCAT1 negatively regulated miR‐145‐5p and positively regulated TLR4. Knockdown of lncRNA‐PCAT1 or TLR4 decreased the expression of osteogenic differentiation‐related proteins, reduced the ALP and ARS levels and the activity of the TLR signalling pathway. MiR‐145‐5p could reverse the effects of PCAT1 and TLR4 in hADSCs osteogenic differentiation. LncRNA‐PCAT1 negatively regulated miR‐145‐5p, which promoted TLR4 expression to promote osteogenic differentiation by activating the TLR signalling pathway.
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