scholarly journals A Survey of Automated Programming Hint Generation: The HINTS Framework

2022 ◽  
Vol 54 (8) ◽  
pp. 1-27
Author(s):  
Jessica McBroom ◽  
Irena Koprinska ◽  
Kalina Yacef
Keyword(s):  
Recent Work ◽  
Evaluation Methods ◽  
Data Driven ◽  
High Quality ◽  
Diverse Range ◽  
Tutoring Systems ◽  
Programming Education ◽  
Automated Programming ◽  
The Individual ◽  
Educational Potential

Automated tutoring systems offer the flexibility and scalability necessary to facilitate the provision of high-quality and universally accessible programming education. To realise the potential of these systems, recent work has proposed a diverse range of techniques for automatically generating feedback in the form of hints to assist students with programming exercises. This article integrates these apparently disparate approaches into a coherent whole. Specifically, it emphasises that all hint techniques can be understood as a series of simpler components with similar properties. Using this insight, it presents a simple framework for describing such techniques, the Hint Iteration by Narrow-down and Transformation Steps framework, and surveys recent work in the context of this framework. Findings from this survey include that (1) hint techniques share similar properties, which can be used to visualise them together, (2) the individual steps of hint techniques should be considered when designing and evaluating hint systems, (3) more work is required to develop and improve evaluation methods, and (4) interesting relationships, such as the link between automated hints and data-driven evaluation, should be further investigated. Ultimately, this article aims to facilitate the development, extension, and comparison of automated programming hint techniques to maximise their educational potential.

The Crisis of Becoming-Nature in Howard Barker’s Recent Dramas

2020 ◽  
Vol 8 (1) ◽  
pp. 100-114
Author(s):  
Karoline Gritzner
Keyword(s):  
Recent Work ◽  
Human Body ◽  
Elderly Women ◽  
Young Men ◽  
Human Agency ◽  
The Self ◽  
Love Relationships ◽  
Late Style ◽  
Life Force ◽  
The Individual

AbstractThis article discusses how in Howard Barker’s recent work the idea of the subject’s crisis hinges on the introduction of an impersonal or transpersonal life force that persists beyond human agency. The article considers Barker’s metaphorical treatment of the images of land and stone and their interrelationship with the human body, where the notion of subjective crisis results from an awareness of objective forces that transcend the self. In “Immense Kiss” (2018) and “Critique of Pure Feeling” (2018), the idea of crisis, whilst still dominant, seems to lose its intermittent character of singular rupture and reveals itself as a permanent force of dissolution and reification. In these plays, the evocation of nonhuman nature in the love relationships between young men and elderly women affirms the existence of something that goes beyond the individual, which Barker approaches with a late-style poetic sensibility.

scholarly journals Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems

2021 ◽  
Author(s):  
Ekaterina Kochmar ◽  
Dung Do Vu ◽  
Robert Belfer ◽  
Varun Gupta ◽  
Iulian Vlad Serban ◽  
...  
Keyword(s):  
Machine Learning ◽  
Student Performance ◽  
Language Processing ◽  
Intelligent Tutoring Systems ◽  
Large Scale ◽  
Intelligent Tutoring ◽  
Performance Outcomes ◽  
Data Driven ◽  
Personalized Feedback ◽  
Tutoring Systems

AbstractIntelligent tutoring systems (ITS) have been shown to be highly effective at promoting learning as compared to other computer-based instructional approaches. However, many ITS rely heavily on expert design and hand-crafted rules. This makes them difficult to build and transfer across domains and limits their potential efficacy. In this paper, we investigate how feedback in a large-scale ITS can be automatically generated in a data-driven way, and more specifically how personalization of feedback can lead to improvements in student performance outcomes. First, in this paper we propose a machine learning approach to generate personalized feedback in an automated way, which takes individual needs of students into account, while alleviating the need of expert intervention and design of hand-crafted rules. We leverage state-of-the-art machine learning and natural language processing techniques to provide students with personalized feedback using hints and Wikipedia-based explanations. Second, we demonstrate that personalized feedback leads to improved success rates at solving exercises in practice: our personalized feedback model is used in , a large-scale dialogue-based ITS with around 20,000 students launched in 2019. We present the results of experiments with students and show that the automated, data-driven, personalized feedback leads to a significant overall improvement of 22.95% in student performance outcomes and substantial improvements in the subjective evaluation of the feedback.

scholarly journals High-quality net shape geometries from additively manufactured parts using closed-loop controlled ablation with ultrashort laser pulses

2020 ◽  
Vol 9 (1-2) ◽  
pp. 101-110 ◽  
Author(s):  
Daniel Holder ◽  
Artur Leis ◽  
Matthias Buser ◽  
Rudolf Weber ◽  
Thomas Graf
Keyword(s):  
Surface Roughness ◽  
Closed Loop ◽  
High Surface ◽  
Laser Pulses ◽  
Ultrashort Laser Pulses ◽  
Minimum Thickness ◽  
High Quality ◽  
Surface Optical ◽  
The Individual ◽  
Ultrashort Laser

AbstractAdditively manufactured parts typically deviate to some extent from the targeted net shape and exhibit high surface roughness due to the size of the powder grains that determines the minimum thickness of the individual slices and due to partially molten powder grains adhering on the surface. Optical coherence tomography (OCT)-based measurements and closed-loop controlled ablation with ultrashort laser pulses were utilized for the precise positioning of the LPBF-generated aluminum parts and for post-processing by selective laser ablation of the excessive material. As a result, high-quality net shape geometries were achieved with surface roughness, and deviation from the targeted net shape geometry reduced by 67% and 63%, respectively.

Two Models of Pluralism and Tolerance

1992 ◽  
Vol 14 (1) ◽  
Author(s):  
Will Kymlicka
Keyword(s):  
Political Theory ◽  
Recent Work ◽  
John Rawls ◽  
Religious Pluralism ◽  
Religious Diversity ◽  
Individual Autonomy ◽  
Individual Rights ◽  
Group Rights ◽  
The Individual ◽  
Social Pluralism

AbstractIn his most recent work, John Rawls argues that political theory must recognize and accomodate the ‘fact of pluralism’, including the fact of religious diversity. He believes that the liberal commitment to individual rights provides the only feasible model for accomodating religious pluralism. In the paper, I discuss a second form of tolerance, based on group rights rather than individual rights. Drawing on historical examples, I argue that this is is also a feasible model for accomodating religious pluralism. While both models ensure tolerance between groups, only the former tolerates individual dissent within groups. To defend the individual rights model, therefore, liberals must appeal not only to the fact of social pluralism, but also to the value of individual autonomy. This may require abandoning Rawls’s belief that liberalism can and should be defended on purely ‘political’, rather than ‘comprehensive’ grounds.

scholarly journals The tolerogenic interplay(s) among HLA-G, myeloid APCs, and regulatory cells

Blood ◽  
2011 ◽  
Vol 118 (25) ◽  
pp. 6499-6505 ◽  
Author(s):  
Edgardo D. Carosella ◽  
Silvia Gregori ◽  
Joel LeMaoult
Keyword(s):  
T Cells ◽  
Regulatory T Cells ◽  
Immune Responses ◽  
Recent Work ◽  
Large Body ◽  
Regulatory Cells ◽  
Individual Effects ◽  
The Individual ◽  
Key Aspects ◽  
Antigen Presenting

Abstract Myeloid antigen-presenting cells (APCs), regulatory cells, and the HLA-G molecule are involved in modulating immune responses and promoting tolerance. APCs are known to induce regulatory cells and to express HLA-G as well as 2 of its receptors; regulatory T cells can express and act through HLA-G; and HLA-G has been directly involved in the generation of regulatory cells. Thus, interplay(s) among HLA-G, APCs, and regulatory cells can be easily envisaged. However, despite a large body of evidence on the tolerogenic properties of HLA-G, APCs, and regulatory cells, little is known on how these tolerogenic players cooperate. In this review, we first focus on key aspects of the individual relationships between HLA-G, myeloid APCs, and regulatory cells. In its second part, we highlight recent work that gathers individual effects and demonstrates how intertwined the HLA-G/myeloid APCs/regulatory cell relationship is.

Improvement of the personnel adaptation system in a medical organization

2021 ◽  
pp. 73-78
Author(s):  
Svetlana Vladimirovna Kropotova
Keyword(s):  
Medical Personnel ◽  
Adaptation Process ◽  
Medical Organization ◽  
High Quality ◽  
Methods Of Analysis ◽  
Quality Adaptation ◽  
The Individual

The purpose of the study is to improve the adaptation system for personnel in a multidisciplinary hospital. Results: the problems of organizing the adaptation process were identified, the methods of analysis and assessment of the management of the adaptation process in a medical organization were adapted, the effectiveness of the existing system of adaptation of medical workers in the organization was assessed. Conclusion: the study proved the need for a more complete and high-quality adaptation process; the process is not static, a creative approach is needed, taking into account the characteristics of the organization (team) and the individual abilities of a specialist; to improve the organization, for the effective adaptation of medical personnel, it is necessary to develop the institution of mentoring.

Data Science and real world health data improve precision for diagnosis: Acute Kidney Injury, acute-on-chronic and Chronic Kidney Disease (Preprint)

2021 ◽  
Author(s):  
Karen Triep ◽  
Alexander Benedikt Leichtle ◽  
Martin Meister ◽  
Georg Martin Fiedler ◽  
Olga Endrich
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Data Science ◽  
Query Language ◽  
Correct Diagnosis ◽  
Kidney Injury ◽  
Data Driven ◽  
World Health ◽  
Discharge Data ◽  
The Individual

BACKGROUND The criteria for the diagnosis of kidney disease outlined in “The Kidney Disease: Improving Global Outcomes (KDIGO)” are based on a patient’s current, historical and baseline data. The diagnosis of acute (AKI), chronic (CKD) and acute-on-chronic kidney disease requires past measurements of creatinine and back-calculation and the interpretation of several laboratory values over a certain period. Diagnosis may be hindered by unclear definition of the individual creatinine baseline and rough ranges of norm values set without adjustment for age, ethnicity, comorbidities and treatment. Classification of the correct diagnosis and the sufficient staging improves coding, data quality, reimbursement, the choice of therapeutic approach and the patient’s outcome. OBJECTIVE With the help of a complex rule-engine a data-driven approach to assign the diagnoses acute, chronic and acute-on-chronic kidney disease is applied. METHODS Real-time and retrospective data from the hospital’s Clinical Data Warehouse of in- and outpatient cases treated between 2014 – 2019 is used. Delta serum creatinine, baseline values and admission and discharge data are analyzed. A KDIGO based standard query language (SQL) algorithm applies specific diagnosis (ICD) codes to inpatient stays. To measure the effect on diagnosis, Text Mining on discharge documentation is conducted. RESULTS We show that this approach yields an increased number of diagnoses as well as higher precision in documentation and coding (unspecific diagnosis ICD N19* coded in % of N19 generated 17.8 in 2016, 3.3 in 2019). CONCLUSIONS Our data-driven method supports the process and reliability of diagnosis and staging and improves the quality of documentation and data. Measuring patients’ outcome will be the next step of the project.

ВИХОВНИЙ ПОТЕНЦІАЛ УРОКІВ ЧИТАННЯ ДЛЯ ФОРМУВАННЯ ТОЛЕРАНТНОСТІ МОЛОДШИХ ШКОЛЯРІВ

2021 ◽  
Vol 1 (2) ◽  
pp. 89-96
Author(s):  
O. I. POPOVA ◽  
◽  
A. S. LESYK ◽  
Keyword(s):  
Primary School ◽  
Mass Culture ◽  
Special Kind ◽  
Moral Choice ◽  
School Students ◽  
Self Presentation ◽  
Experimental Learning ◽  
The World ◽  
The Individual ◽  
Educational Potential

The article emphasizes that the world around us sets its own requirements for the ability of a junior student to adapt to it, to his tolerant willingness to build constructive relationships with others. In reading lessons, which aim, among other things, to form the values of primary school students, they learn to choose an individual way of self-presentation, behavior and communication. The task of the teacher is to teach to observe life, to notice human kindness, sacrifice, courage, as well as heartlessness, cruelty, indifference. Hence the signs of a tolerant personality, such as patience, indulgence, tolerance for differences, kindness, the ability to listen to others, not to judge others, to take their position, the ability to empathize, humanism. The updated content of literary material, which comprehensively covers the sphere of interests of junior schoolchildren, its emotionality, novelty, decoration, interesting forms and methods of working with texts of works and children's books with preference to problematic, creative tasks should convince students that fiction is a special kind of art, and reading – a special, unique means of satisfying cognitive interests, knowledge of the world and self-knowledge, which can not be replaced by any other means of mass culture. In the process of experimental learning, we tried to design and implement such types of educational activities of students, which contributed to the formation of tolerance in them as the most important value of the individual. After analyzing some aspects of updating the content and methodology of reading lessons in primary school in the context of implementing the ideas of tolerant education, we note that the new textbooks and manuals for extracurricular reading contain many texts with the potential for educating this quality of personality. actions of characters; to feel the state of another person, to make a moral choice. Key words: formation of tolerance in junior schoolchildren, reading lessons, educational potential of reading lessons, formation of personality of junior schoolchildren.

scholarly journals One for All: Neural Joint Modeling of Entities and Events

2019 ◽  
Vol 33 ◽  
pp. 6851-6858 ◽  
Author(s):  
Trung Minh Nguyen ◽  
Thien Huu Nguyen
Keyword(s):  
Deep Learning ◽  
Recent Work ◽  
State Of The Art ◽  
Contextual Information ◽  
Joint Modeling ◽  
Event Extraction ◽  
Event Trigger ◽  
The Individual ◽  
Novel Model ◽  
Argument Roles

The previous work for event extraction has mainly focused on the predictions for event triggers and argument roles, treating entity mentions as being provided by human annotators. This is unrealistic as entity mentions are usually predicted by some existing toolkits whose errors might be propagated to the event trigger and argument role recognition. Few of the recent work has addressed this problem by jointly predicting entity mentions, event triggers and arguments. However, such work is limited to using discrete engineering features to represent contextual information for the individual tasks and their interactions. In this work, we propose a novel model to jointly perform predictions for entity mentions, event triggers and arguments based on the shared hidden representations from deep learning. The experiments demonstrate the benefits of the proposed method, leading to the state-of-the-art performance for event extraction.

scholarly journals TightCap: 3D Human Shape Capture with Clothing Tightness Field

2022 ◽  
Vol 41 (1) ◽  
pp. 1-17
Author(s):  
Xin Chen ◽  
Anqi Pang ◽  
Wei Yang ◽  
Peihao Wang ◽  
Lan Xu ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Ground Truth ◽  
Data Driven ◽  
Optimization Scheme ◽  
High Quality ◽  
3D Scan ◽  
Multi Stage ◽  
Geometry Image

In this article, we present TightCap, a data-driven scheme to capture both the human shape and dressed garments accurately with only a single three-dimensional (3D) human scan, which enables numerous applications such as virtual try-on, biometrics, and body evaluation. To break the severe variations of the human poses and garments, we propose to model the clothing tightness field—the displacements from the garments to the human shape implicitly in the global UV texturing domain. To this end, we utilize an enhanced statistical human template and an effective multi-stage alignment scheme to map the 3D scan into a hybrid 2D geometry image. Based on this 2D representation, we propose a novel framework to predict clothing tightness field via a novel tightness formulation, as well as an effective optimization scheme to further reconstruct multi-layer human shape and garments under various clothing categories and human postures. We further propose a new clothing tightness dataset of human scans with a large variety of clothing styles, poses, and corresponding ground-truth human shapes to stimulate further research. Extensive experiments demonstrate the effectiveness of our TightCap to achieve the high-quality human shape and dressed garments reconstruction, as well as the further applications for clothing segmentation, retargeting, and animation.

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