Life-Worthy Learning Skills: A Curriculum Intervention to Promote Self-Regulated Learning

Taking the form of a portfolio of papers written across my six-year research journey, this professional doctoral thesis presents the findings of a discipline-independent curriculum intervention designed to improve students’ self-regulated learning skills. The study also examines the relationship between students’ self-regulated learning skills and their academic achievement. Research suggests that discipline-independent training interventions improve students’ self-regulated learning skills, also having a major impact on students’ academic achievement across childhood and adolescence. Founded on Zimmerman's (2000) cyclic model of self-regulated learning, the 10-week discipline-independent intervention underpinning this research was designed and implemented to support the development of Year 9 (13-14 year old) students’ self-regulated learning skills. Following a pre-test post-test non-equivalent group design, participants were divided into two groups by way of purposeful sampling, with each group receiving the training intervention consecutively during the academic year 2017/18. Data was collected at three timepoints (before the start of Phase 1, at the end of Phase 1, and at the end of Phase 2) using the Motivated Strategies for Learning Questionnaire (MSLQ) and an original and tailored instrument created specifically for this research; the Self-Regulated Learning Experimental Design Survey (SRLEDS). Forming a significant contribution to the field, this instrument was validated using the MSLQ. Results show that although students’ self-regulated learning skills and academic achievement improved across timepoint, there were not any significant differences between group and nor did students’ self-regulated learning skills predict their level of academic achievement. In light of this, the discussion focuses on providing context to these results, exploring local changes within the research setting that account for the findings before outlining the implications of this study for both research and practice. In addition to the development and validation of the SRLEDS, this study also contributes to the fields of research and practice by offering a critical reflection on the challenges of using control groups within a live school research setting. In response to this, an alternative research design is proposed as well as a range of future research directions, with implications for practice highlighted and discussed

The ACCENT Policy Wizard

The ACCENT project (Advanced Component Control Enhancing Network Technologies) developed a practical and comprehensive policy system for call control/Internet telephony. The policy system has subsequently been extended for management of sensor networks/wind farms and of home care/telecare. This report focuses on a web-based policy wizard that acts as the primary interface between end users and the policy system. The policy wizard has an intimate knowledge of the APPEL policy language (Adaptable and Programmable Policy Environment and Language). The wizard allows end users to create policies using nearnatural language without knowing or seeing XML, and to upload them to the policy system. The wizard also provides a number of convenience functions such as predefined policy templates, editing and activating existing policies, and defining policy variables. Relative to the version of December 2005, this Technical Report has been updated as follows to reflect changes in the policy wizard: - The whole report has been updated to reflect later work on the PROSEN and MATCH projects. As a result, the ACCENT and APPEL acronyms have changed. Call control, however, remains are the primary illustration of the approach in this report. - Chapter 1 is now named ‘Introduction’, and a brief ‘Conclusion’ chapter has been added in section 4. - Chapter 2 has been updated to sheet screenshots of the new policy wizard. The wizard now handles resolution policies. - The wizard now makes use of ontologies, as described briefly in section 3.1. All domain-specific knowledge is held outside the wizard, so that largely common code can be used across all domains. As a result, the wizard configuration now also refers to the POPPET server. - Section 3.6 describes a new code structure that allows different versions of the wizard to coexist. - A brief explanation has been given in section 3.8 of what is involved in supporting a new application domain with the wizard

Benthic oxygen exchange in a live coralline algal bed and an adjacent sandy habitat: an eddy covariance study

Coralline algal (maerl) beds are widespread, slow-growing, structurally complex perennial habitats that support high biodiversity, yet are significantly understudied compared to seagrass beds or kelp forests. We present the first eddy covariance (EC) study on a live maerl bed, assessing the community benthic gross primary productivity (GPP), respiration (R), and net ecosystem metabolism (NEM) derived from diel EC time series collected during 5 seasonal measurement campaigns in temperate Loch Sween, Scotland. Measurements were also carried out at an adjacent (~20 m distant) permeable sandy habitat. The O2 exchange rate was highly dynamic, driven by light availability and the ambient tidally-driven flow velocity. Linear relationships between the EC O2 fluxes and available light indicate that the benthic phototrophic communities were lightlimited. Compensation irradiance (Ec) varied seasonally and was typically ~1.8-fold lower at the maerl bed compared to the sand. Substantial GPP was evident at both sites; however, the maerl bed and the sand habitat were net heterotrophic during each sampling campaign. Additional inputs of ~4 and ~7 mol m-2 yr-1 of carbon at the maerl bed and sand site, respectively, were required to sustain the benthic O2 demand. Thus, the 2 benthic habitats efficiently entrap organic carbon and are sinks of organic material in the coastal zone. Parallel deployment of 0.1 m2 benthic chambers during nighttime revealed O2 uptake rates that varied by up to ~8-fold between replicate chambers (from -0.4 to -3.0 mmol O2 m-2 h-1; n = 4). However, despite extensive O2 flux variability on meter horizontal scales, mean rates of O2 uptake as resolved in parallel by chambers and EC were typically within 20% of one another

Quasi-Static and Dynamic Mismatch for Door Opening and Stair Climbing With a Legged Robot

This paper contributes to quantifying the notion of robotic fitness by developing a set of necessary conditions that determine whether a small quadruped has the ability to open a class of doors or climb a class of stairs using only quasi-static maneuvers. After verifying that several such machines from the recent robotics literature are mismatched in this sense to the common human scale environment, we present empirical workarounds for the Minitaur quadrupedal platform that enable it to leap up, force the door handle and push through the door, as well as bound up the stairs, thereby accomplishing through dynamical maneuvers otherwise (i.e., quasi-statically) achievable tasks. For more information: Kod*la

Inkjet printing of oral dosage forms to solubilize BCS Class II drugs

Oral drug delivery remains the preferred method of administration but BCS Class II drugs are not ideally suited to this due to their inherent poor solubility. Although a number of methods to increase solubility already exist, there is a need for less damaging methods of production which are more flexible to the needs of the patient. The innovative formulation method of inkjet printing has been suggested for this purpose as it has the capacity to produce highly precise dosing in a continuous manner. The Optomec Aerosol Jet 200 Printer utilised in the current study has never been used in pharmaceutical research before and it is highly interesting as it functions in a manner akin to a miniaturised spray dryer. Due to the low dose content of a single layer, formulations can be easily tailored to the patient’s individual requirements by changing the size and speed of deposition, utilising different nozzle sizes and layering to increase the overall dose. Raman spectroscopy, scanning electron microscopy and powder x-ray diffraction suggest that printing the drug alone results in a crystalline product. However, in the presence of a polymer it seems to form a less crystalline product suggesting the polymer is promoting solid dispersion formation in a similar manner to a spray dryer. Completely amorphous formulations are achieved on application of a premixed "ink" with a polymer content of 75% or more, allowing up to 25% drug loading. Drug release increases 10-fold on printing relative to a comparable powder blend and thus inkjet printing can be considered to be a viable method of improving the overall performance of the drug. The next steps will be to utilize this established methodology to produce innovative controlled release on a small scale

Inkjet printing oral dosage forms

The current study aims to establish an innovative method of effectively solubilising Biopharmaceutical Classification System Class II drugs using inkjet printing. Dosage forms have been produced using an Optomec AJ200 3D Inkjet printer. Printing with an appropriate polymer seems to result in an amorphous product, which will hopefully have a greater overall solubility

BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget

The desire to map neural networks to varying-capacity devices has led to the development of a wealth of compression techniques, many of which involve replacing standard convolutional blocks in a large network with cheap alternative blocks. However, not all blocks are created equally; for a required compute budget there may exist a potent combination of many different cheap blocks, though exhaustively searching for such a combination is prohibitively expensive. In this work, we develop BlockSwap: a fast algorithm for choosing networks with interleaved block types by passing a single minibatch of training data through randomly initialised networks and gauging their Fisher potential. These networks can then be used as students and distilled with the original large network as a teacher. We demonstrate the effectiveness of the chosen networks across CIFAR-10 and ImageNet for classification, and COCO for detection, and provide a comprehensive ablation study of our approach. BlockSwap quickly explores possible block configurations using a simple architecture ranking system, yielding highly competitive networks in orders of magnitude less time than most architecture search techniques (e.g. under 5 minutes on a single GPU for CIFAR-10). Code is available at https://github.com/BayesWatch/pytorch-blockswap.Comment: ICLR 202

Activation Addition: Steering Language Models Without Optimization

Reliably controlling the behavior of large language models (LLMs) is a pressing open problem. Existing methods include supervised finetuning, reinforcement learning from human feedback (RLHF), prompt engineering and guided decoding. We instead investigate activation engineering: modifying activations at inference time to predictably alter model behavior. In particular, we bias the forward pass with an added 'steering vector' implicitly specified through natural language. Unlike past work which learned these steering vectors (Subramani, Suresh, and Peters 2022; Hernandez, Li, and Andreas 2023), our Activation Addition (ActAdd) method computes them by taking the activation differences that result from pairs of prompts. We demonstrate ActAdd on GPT-2 on OpenWebText and ConceptNet. Our inference-time approach yields control over high-level properties of output and preserves off-target model performance. It involves far less compute and implementation effort compared to finetuning or RLHF, allows users to provide natural language specifications, and its overhead scales naturally with model size

APPEL: An Adaptable and Programmable Policy Environment and Language

The Accent project (Advanced Component Control Enhancing Network Technologies) developed a practical and comprehensive policy system for call control/Internet telephony. The policy system has subsequently been extended for management of sensor networks/wind farms and of home care/telecare. This report focuses on Appel (Adaptable and Programmable Policy Environment and Language). It provides an overview of the language, and presents the language in XML schema form. The core language has been instantiated for call control, for sensor networks, and for home care. Sample goals and policies of different kinds are provided to illustrate these applications