Reflective Experiential Learning: Using Active Video Watching for Soft Skills Training

Learning by watching videos has become the dominant way of learning for millennials. However, watching videos is a passive form of learning which usually results in a low level of engagement. As the result, video-based learning often results in poor learning outcomes. One of the proven strategies to increase engagement is to integrate interactive activities such as quizzes and assessment problems into videos. Although this strategy increases engagement, it requires changing existing videos and therefore substantial effort from the teacher. We have developed the Active Video Watching (AVW) system that enables the teacher to use existing videos from YouTube without modifications. The teacher is required to define a set of aspects for videos, which serve as reflective scaffolds in order to increase engagement and focus learners’ thinking. AVW provides a Personal Space for individual learners to link their personal experiences while watching videos. The comments collected can be used by the individuals to reflect on their own thoughts or to be shared with other learners in the Social Space. We conducted a study with postgraduate students on presentation skills. The results show that the level of engagement with AVW was high, and that the aspects were effective as reflection prompts. We plan to conduct further studies related to other types of soft skills, and also to further extend AVW to provide individualized feedback to students

Supporting Constructive Video-based Learning: Requirements Elicitation from Exploratory Studies

Although videos are a highly popular digital medium for learning, video watching can be a passive activity and results in limited learning. This calls for interactive means to support engagement and active video watching. However, there is limited insight into what engagement challenges have to be overcome and what intelligent features are needed. This paper presents an empirical way to elicit requirements for innovative functionality to support constructive video-based learning. We present two user studies with an active video watching system instantiated for soft skill learning (pitch presenta-tions). Based on the studies, we identify whether learning is happening and what kind of interaction contributes to learning, what difficulties participants face and how these can be overcome with additional intelligent support. Our findings show that participants who engaged in constructive learning have improved their conceptual understanding of presentation skills, while those who exhibited more passive ways of learning have not improved as much as constructive learners. Analysis of participants’ profiles and experiences led to requirements for intelligent support with active video watching. Based on this, we propose intelligent nudging in the form of signposting and prompts to further promote constructive learning

Experimental Electronic Structure and Interband Nesting in BaVS_3

The correlated 3d sulphide BaVS_3 is a most interesting compound because of the apparent coexistence of one-dimensional and three-dimensional properties. Our experiments explain this puzzle and shed new light on its electronic structure. High-resolution angle-resolved photoemission measurements in a 4eV wide range below the Fermi level explored the coexistence of weakly correlated a_1g wide-band and strongly correlated e_g narrow-band d-electrons that is responsible for the complicated behavior of this material. The most relevant result is the evidence for a_1g--e_g inter-band nesting condition.Comment: 4 pages, 3 figure

Independent Assessment of the 2018–19 fish deaths in the lower Darling

Three significant fish death events occurred in the Darling River near Menindee between December 2018 and January 2019. The three events took place within two adjacent weir pools in a 30 km reach of river between Texas Downs Station and Weir 32 (DPI NSW Fisheries, 2019). The main native fish species involved included Murray Cod, Silver Perch, Golden Perch, Bony Herring, with mortality estimates in the range of hundreds of thousands to over a million fish. Though post-event fish population sampling is yet to be conducted, we expect that these mortalities will impact populations in the lower Darling River, and perhaps beyond, for many years. These events constitute a serious ecological shock to the lower Darling and reverse positive ecological outcomes that had accrued from environmental watering programs. We have determined that fish deaths events were primarily caused by local hydrological and climatic conditions (Figure 1-1). The extreme hot and dry climate during 2018, extending into 2019, shaped the conditions that saw a large fish biomass, which had flourished since favourable spawning conditions in 2016, isolated in the weir pools around Menindee, with no means of escaping upstream or downstream. Those adverse climate conditions also shaped the subsequent algal bloom development and the strong and persistent thermal stratification of the weir pools, which created hypoxic conditions in the bottom waters of the pools. All that was needed for this to have a fatal impact on the fish was a trigger for the weir pool waters to become destratified and deprive the fish of oxygen. That trigger duly arrived with a series of sudden cool changes in the weather, with temperature drops and wind action initiating the turnover of the weir pool waters. This sudden depletion of oxygen, combined with the already high water and air temperatures, would have offered the large biomass of stressed fish no means of escape. For each fish death event, the weir pool in which the fish were trapped was bordered downstream by an impenetrable barrier (a weir) and upstream by a dry channel. Ultimately, it was the rapid transition from very favourable conditions to very adverse ones that resulted in such high numbers of fish deaths. We have also determined that the fish death events were shaped by a broader climatic, hydrologic and basin management context that placed the lower Darling River at risk of such fish deaths. The preceding six years (since 2012) had seen two high flow events that had delivered water into Menindee Lakes (2012 and 2016) and offered opportunities for substantial fish breeding and recruitment. Fish populations were further enhanced by the judicious use of environmental water. The end result was a considerable biomass of fish within the Menindee Lakes, post 2016. Outside of these high flow events there were minimal flows in the Darling River below Bourke. This period was preceded by the Millennium drought (2000-2010), during which time flows across the entire northern Murray– Darling Basin were reduced. All of the hydroclimatic evidence available indicates that the years since 2000 have been some of the driest on record, in terms of inflows into major upstream storages, combined with an increased number of extreme heat days, which would have had a major impact on water quality in remnant pools. Soon after the events, Basin government officials met and developed an action plan to respond to the crisis. Immediate actions underway include additional water quality monitoring in the lower Darling, the use of aerators and targeted fish relocations. These immediate actions are welcomed, however, the current situation remains critical – without significant inflows, further deaths of surviving fish may be expected. We consider that priorities and actions in the short-term should focus on anticipating a repeat of ‘worst-case scenario’ outcomes with responses focussed at the site scale. In addition, the Minister for Agriculture and Water Resources announced a Native Fish Management and Recovery Strategy to help manage and recover fish populations across the Basin. We consider that this provides a good opportunity to enhance native fish management and support native fish population recovery and should be developed and implemented through a genuine collaboration between governments, communities, and Traditional Owners. The strategy needs to build on existing and lapsed native fish programs across the Basin. Through our investigations, it became evident to us that, over the long-term, the extant water access arrangements in the northern Basin, as well as limitations in the river models used to plan water sharing, place the lower Darling River at a higher risk of conditions that can lead to fish deaths during droughts than has previously been anticipated. Given that we are witnessing an increasing frequency of low inflow sequences in the northern Basin, this presents a serious problem for safeguarding fish populations, and populations of other resident biota, during drought in the lower Darling. We have identified that changes to Barwon–Darling water access arrangements made by NSW just prior to the commencement of the Basin Plan in 2012 have enhanced the ability of irrigators to access water during low flow periods and during the first flow event immediately after a cease-to-flow period. Further, it appears that the river models used to develop water sharing arrangements have a tendency to overestimate streamflows during dry sequences, and hence underestimate the impacts of extractions during dry times

A Computational Model of Limb Impedance Control Based on Principles of Internal Model Uncertainty

Efficient human motor control is characterized by an extensive use of joint impedance modulation, which is achieved by co-contracting antagonistic muscles in a way that is beneficial to the specific task. While there is much experimental evidence available that the nervous system employs such strategies, no generally-valid computational model of impedance control derived from first principles has been proposed so far. Here we develop a new impedance control model for antagonistic limb systems which is based on a minimization of uncertainties in the internal model predictions. In contrast to previously proposed models, our framework predicts a wide range of impedance control patterns, during stationary and adaptive tasks. This indicates that many well-known impedance control phenomena naturally emerge from the first principles of a stochastic optimization process that minimizes for internal model prediction uncertainties, along with energy and accuracy demands. The insights from this computational model could be used to interpret existing experimental impedance control data from the viewpoint of optimality or could even govern the design of future experiments based on principles of internal model uncertainty

Band alignments at Ga₂O₃ heterojunction interfaces with Si and Ge

Amorphous Ga2O3 thin films were deposited on p-type (111) and (100) surfaces of silicon and (100) germanium by atomic layer deposition (ALD). X-ray photoelectron spectroscopy (XPS) was used to investigate the band alignments at the interfaces using the Kraut Method. The valence band offsets were determined to be 3.49± 0.08 eV and 3.47± 0.08 eV with Si(111) and Si(100) respectively and 3.51eV± 0.08 eV with Ge(100). Inverse photoemission spectroscopy (IPES) was used to investigate the conduction band of a thick Ga2O3 film and the band gap of the film was determined to be 4.63±0.14 eV. The conduction band offsets were found to be 0.03 eV and 0.05eV with Si(111) and Si(100) respectively, and 0.45eV with Ge(100). The results indicate that the heterojunctions of Ga2O3 with Si(100), Si(111) and Ge(100) are all type I heterojunctions

Self-Regulation, Knowledge, Experience: Which User Characteristics Are Useful for Predicting Video Engagement?

The use of videos in education has attracted considerable research attention. However, in order to gain the most benefits, learners need to actively engage with videos. It is an important, yet challenging, task to disentangle the relation between engagement with videos and learning, and at the same time to take into account relevant individual differences in order to offer personalised support. In this paper we investigate the question: `Can user characteristics relating to self-regulation, knowledge, and experience be leveraged for predicting user engagement with videos?'. Our results show that users' domain knowledge and self-regulation abilities can inform overall engagement prediction (inactive, passive and constructive learners), which makes them useful for adaptation and personalisation

Using the Explicit User Profile to Predict User Engagement in Active Video Watching

In this paper we leverage the explicit user profile (relating to experience, knowledge, and self-regulation) to predict user engagement in active video watching. Data from two user studies for informal learning of presentation skills in a Higher Education context is used to develop and validate the prediction models. Our results show that these user characteristics can reasonably predict the overall engagement (inactive, passive and constructive learners). Our approach can be used to inform adaptive interventions that prevent disengagement and enhance the learning experience

Theory of Magnetic Field Induced Spin Density Wave in High Temperature Superconductors

The induction of spin density wave (SDW) and charge density wave (CDW) orderings in the mixed state of high $T_c$ superconductors (HTS) is investigated by using the self-consistent Bogoliubov-de Gennes equations based upon an effective model Hamiltonian with competing SDW and d-wave superconductivity interactions. For optimized doping sample, the modulation of the induced SDW and its associated CDW is determined by the vortex lattice and their patterns obey the four-fold symmetry. By deceasing doping level, both SDW and CDW show quasi-one dimensional like behavior, and the CDW has a period just half that of the SDW along one direction. From the calculation of the local density of states (LDOS), we found that the majority of the quasi-particles inside the vortex core are localized. All these results are consistent with several recent experiments on HTS