Balancing supportive relationships and developing independence:An activity theory approach to understanding feedback in context for Master’s students

Master’s students are expected to be self-regulating and independent learners. Dialogic feedback has been identified as one way of promoting such independence. There continues to be concern about the extent to which master’s students are achieving this level of functioning. This study aimed to identify feedback practices and contexts which facilitated student engagement and independence. Working with students as co-researchers, interviews were conducted with 27 master’s students from three programmes. Activity theory was used as an analytical tool to generate understanding of feedback in the social context of each programme. Findings indicate there can be tension between factors which promote dialogical feedback and those which promote independence, and that active dialogic feedback with staff may limit student engagement with peer feedback

Effects of Neuro-Cognitive Load on Learning Transfer Using a Virtual Reality-Based Driving System

Understanding the ways different people perceive and apply acquired knowledge, especially when driving, is an important area of study. This study introduced a novel virtual reality (VR)-based driving system to determine the effects of neuro-cognitive load on learning transfer. In the experiment, easy and difficult routes were introduced to the participants, and the VR system is capable of recording eye-gaze, pupil dilation, heart rate, as well as driving performance data. So, the main purpose here is to apply multimodal data fusion, several machine learning algorithms, and strategic analytic methods to measure neurocognitive load for user classification. A total of ninety-eight (98) university students participated in the experiment, in which forty-nine (49) were male participants and forty-nine (49) were female participants. The results showed that data fusion methods achieved higher accuracy compared to other classification methods. These findings highlight the importance of physiological monitoring to measure mental workload during the process of learning transfer

Balancing supportive relationships and developing independence:an activity theory approach to understanding feedback in context for master’s students

Master’s students are expected to be self-regulating and independent learners. Dialogic feedback has been identified as one way of promoting such independence. There continues to be concern about the extent to which master’s students are achieving this level of functioning. This study aimed to identify feedback practices and contexts which facilitated student engagement and independence. Working with students as co-researchers, interviews were conducted with 27 master’s students from three programmes. Activity theory was used as an analytical tool to generate understanding of feedback in the social context of each programme. Findings indicate there can be tension between factors which promote dialogical feedback and those which promote independence, and that active dialogic feedback with staff may limit student engagement with peer feedback

Balancing supportive relationships and developing independence:an activity theory approach to understanding feedback in context for master’s students

Master’s students are expected to be self-regulating and independent learners. Dialogic feedback has been identified as one way of promoting such independence. There continues to be concern about the extent to which master’s students are achieving this level of functioning. This study aimed to identify feedback practices and contexts which facilitated student engagement and independence. Working with students as co-researchers, interviews were conducted with 27 master’s students from three programmes. Activity theory was used as an analytical tool to generate understanding of feedback in the social context of each programme. Findings indicate there can be tension between factors which promote dialogical feedback and those which promote independence, and that active dialogic feedback with staff may limit student engagement with peer feedback

High-sensitivity on-chip temperature sensor based on cascaded microring resonators

This article proposes an on-chip optical temperature sensor based on a cascaded microring resonator, which is composed of a reference ring and a sensing ring cascaded with different temperature sensitivities and free spectral ranges. By changing the temperature of the sensing window environment, the thermal optical effect of the waveguide causes a change in the refractive index of the waveguide, which affects the temperature sensitivity and free spectrum changes of the sensor. The output spectral response of the sensor shifts, achieving temperature sensing detection. The experimental results show that the temperature sensitivity of this microring cascaded temperature sensor is 303.6 pm/°C, which is 3.65 times the limit of a single microring temperature sensitivity of 83 pm/°C. The temperature-sensing range of the sensor is 100°C, which can well meet the temperature-monitoring requirements of ultra-large-scale integrated circuits

An electro-optic half subtractor from a silicon-based hybrid surface plasmon polariton waveguide

AN ELECTRO-OPTIC HALF SUBTRACTOR FROM A SILICON-BASED HYBRID SURFACE PLASMON POLARITON WAVEGUIDE Open physics (Rights reserved) (-) An electro-optic half subtractor from a silicon-based hybrid surface plasmon polariton waveguide / Liang, Zhixun (CC BY) (-

Biochar reduces colloidal phosphorus in leachate by regulating phoD- and phoC-harboring microbial communities during drying/rewetting cycles

Abstract Drying and rewetting (DRW) events cause the release of colloidal phosphorus (Pcoll, 1–1000 nm) in leachate, and biochar is considered an effective inhibitor; however, the microbial mechanism remains elusive. In this study, three successive DRW cycles were performed on the soil columns to assess the effect of biochar addition on Pcoll content and its possible associates, including phosphatase-producing microbial populations (phoD- and phoC-harboring microbial communities) and alkaline/acid phosphatase (ALP/ACP) activities. Results showed that the biochar addition significantly decreased the Pcoll by 15.5–32.1% during three DRW cycles. The structural equation model (SEM) confirmed that biochar addition increased phoD- and phoC-harboring microbial communities and ALP/ACP activities, which reduces the release of Pcoll into leachate. In addition, the manure biochar was more effective than the straw biochar in promoting competition and cooperation in the co-occurrence network (2–5% nodes increased on average), and the key taxa Proteobacteria and Cyanobacteria were identified as the dominant species of potential ALP/ACP activities and Pcoll content. Our findings provide a novel understanding of biochar reducing Pcoll loss from the phosphatase perspective by regulating the phoD- and phoC-harboring communities during DRW events. Graphical abstrac

A surface strategy boosting the ethylene selectivity for CO2 reduction and in situ mechanistic insights

Abstract Electrochemical reduction of carbon dioxide into ethylene, as opposed to traditional industrial methods, represents a more environmentally friendly and promising technical approach. However, achieving high activity of ethylene remains a huge challenge due to the numerous possible reaction pathways. Here, we construct a hierarchical nanoelectrode composed of CuO treated with dodecanethiol to achieve elevated ethylene activity with a Faradaic efficiency reaching 79.5%. Through on in situ investigations, it is observed that dodecanethiol modification not only facilitates CO2 transfer and enhances *CO coverage on the catalyst surfaces, but also stabilizes Cu(100) facet. Density functional theory calculations of activation energy barriers of the asymmetrical C–C coupling between *CO and *CHO further support that the greatly increased selectivity of ethylene is attributed to the thiol-stabilized Cu(100). Our findings not only provide an effective strategy to design and construct Cu-based catalysts for highly selective CO2 to ethylene, but also offer deep insights into the mechanism of CO2 to ethylene

Human aldose reductase expression accelerates diabetic atherosclerosis in transgenic mice

Direct evidence that hyperglycemia, rather than concomitant increases in known risk factors, induces atherosclerosis is lacking. Most diabetic mice do not exhibit a higher degree of atherosclerosis unless the development of diabetes is associated with more severe hyperlipidemia. We hypothesized that normal mice were deficient in a gene that accelerated atherosclerosis with diabetes. The gene encoding aldose reductase (AR), an enzyme that mediates the generation of toxic products from glucose, is expressed at low levels in murine compared with human tissues. Mice in which diabetes was induced through streptozotocin (STZ) treatment, but not nondiabetic mice, expressing human AR (hAR) crossed with LDL receptor–deficient (Ldlr–/–) C57BL/6 male mice had increased aortic atherosclerosis. Diabetic hAR-expressing heterozygous LDL receptor–knockout mice (Ldlr+/–) fed a cholesterol/cholic acid–containing diet also had increased aortic lesion size. Lesion area at the aortic root was increased by STZ treatment alone but was further increased by hAR expression. Macrophages from hAR-transgenic mice expressed more scavenger receptors and had greater accumulation of modified lipoproteins than macrophages from nontransgenic mice. Expression of genes that regulate regeneration of glutathione was reduced in the hAR-expressing aortas. Thus, hAR increases atherosclerosis in diabetic mice. Inhibitors of AR or other enzymes that mediate glucose toxicity could be useful in the treatment of diabetic atherosclerosis