Reviewerly/exHarmony huggingface dataset:
PROFESSIONAL COMPETENCY AS AN ESSENTIAL CHARACTERISTIC OF ENHANCING STUDENTS’ COMPETITIVENESS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 6932-6936ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1680Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
"Why did you do that?": Explaining black box models with Inductive Synthesis

By their nature, the composition of black box models is opaque. This makes the ability to generate explanations for the response to stimuli challenging. The importance of explaining black box models has become increasingly important given the prevalence of AI and ML systems and the need to build legal and regulatory frameworks around them. Such explanations can also increase trust in these uncertain systems. In our paper we present RICE, a method for generating explanations of the behaviour of black box models by (1) probing a model to extract model output examples using sensitivity analysis; (2) applying CNPInduce, a method for inductive logic program synthesis, to generate logic programs based on critical input-output pairs; and (3) interpreting the target program as a human-readable explanation. We demonstrate the application of our method by generating explanations of an artificial neural network trained to follow simple traffic rules in a hypothetical self-driving car simulation. We conclude with a discussion on the scalability and usability of our approach and its potential applications to explanation-critical scenarios.
Deep Likelihood Network for Image Restoration with Multiple Degradation Levels

Convolutional neural networks have been proven effective in a variety of image restoration tasks. Most state-of-the-art solutions, however, are trained using images with a single particular degradation level, and their performance deteriorates drastically when applied to other degradation settings. In this paper, we propose deep likelihood network (DL-Net), aiming at generalizing off-the-shelf image restoration networks to succeed over a spectrum of degradation levels. We slightly modify an off-the-shelf network by appending a simple recursive module, which is derived from a fidelity term, for disentangling the computation for multiple degradation levels. Extensive experimental results on image inpainting, interpolation, and super-resolution show the effectiveness of our DL-Net.
Developing Supplementary Reading Materials of Culinary Department Students of SMK N 3 Malang / Pungky Kusumaningtyas

SUMMARYKusumaningtyas, Pungky. 2018. Developing Supplementary Reading Materials ofCulinary Department Students of SMK N 3 Malang. Thesis, Department ofEnglish, Faculty of Letters, Universitas Negeri Malang. Advisors: (I) Dr.Furaidah, M.A., (II) Prof. Dr. H. Ali Saukah, M.A. Ph.D.Keywords: supplementary materials, reading skill, culinary department.This research and development study was aimed to developsupplementary reading materials in the form of reading module with the topicsrelevant with the tenth graders of culinary department of SMK N 3 Malang.The product was developed because the book that is used in the class does notsuit the specific need of the culinary department. This study used research anddevelopment design by Borg and Gall (2003) with the following steps: (1) needanalysis, (2) developing the materials, (3) expert validation, (4) revision I, (5)try-out, (6) revision II and (7) final product.There were three instruments used to collect the data in the need analysis.The first instrument was an interview guideline to interview the teacher, thesecond was an observation sheet, and the last was questionnaires for thestudents. The result of the need analysis revealed that the students felt Englishsubject was difficult and the English reading materials were not relevant withtheir specific need as students of culinary major.The materials developed were based on the types of texts in Englishsyllabus Curriculum 2013, i.e. descriptive text, recount text, and procedure text.The product developed was in the form of module. There were 43 pagescompleted with the reading activities, glossary, and answer keys.The product was validated by three English teachers as expert validators.The result from three experts validators showed that the product could be usedby the students, yet there were some aspects to be revised, such as the clarity ofcolor combination, the instructions, and the questions.After revision, the next stage was try-out. The result of the try-out wasvery good as indicated by the students’ responses toward students’ checklist.The next stage was continued by revising the product after being tried out, andproducing the final product.The overall result of this study implied that the product developed isrelevant and suitable to fill the lack of English reading materials for culinarydepartment at SMK N 3 Malang. Students can use the module as anindependent reading material. English teacher can use the product as a resourceto provide supplementary reading materials with the topics which are relevantwith culinary issues. Further researchers can develop this product to make itbetter since the product only covers three long functional texts with limitedtopics. Future researchers can also develop similar product but for other majors.
UBIQUITOUS CLASSROOM MODEL FOR DIGITAL NATIVES: A WHATSAPP EXPERIENCE

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4683-4686ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1160Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
On the BQFT Generalization

The goal of this paper is to show that the phenomenon of BQFT (ban on quantifier float in θ-positions, cf. Boskovic 2004) can be deduced from the split DP structure, which states that a DP is a derived constituent but not an underlying one (Sportiche 2005 and Takahashi and Hulsey 2009). Combined this type of the structure with the locality condition of FQs, i.e., an FQ and its host DP must be adjacent, it follows that an FQ would not take place in θ-positions where its licensing DP is absent. An FQ requires a semantically contentful DP to be construed with it and therefore can only appear in those positions where such a DP is available. It is also shown that the proposed analysis has desirable consequences for several issues and phenomena including the stranding/adverbial properties of FQs, A- or A’-nature of movement and the LF-interpretability.
BLENDED LEARNING APPROACH USING MOODLE

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8160-8164ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2017Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
EVALUATION OF THE USER EXPERIENCE OF ADAPTATION TECHNIQUES TO FOSTER LEARNING MOTIVATION IN AN ADAPTIVE E-LEARNING PLATFORM

EVALUATION OF THE USER EXPERIENCE OF ADAPTATION TECHNIQUES TO FOSTER LEARNING MOTIVATION IN AN ADAPTIVE E-LEARNING PLATFORM
Human-like Motion Planning in Populated Environments

Populated areas pose a challenge for motion planners because individuals influence each other. Thus, this thesis integrates interaction awareness into a motion planner by using game theory. It enables a robot to navigate in a human-like manner through a populated environment. It focuses on mathematically modelling the interaction-aware navigation of humans, and based on this model, devising a novel motion planner. Moreover, it presents techniques for evaluating the human likeness of motion planners.
PLOTS: Procedure Learning from Observations using Subtask Structure

In many cases an intelligent agent may want to learn how to mimic a single observed demonstrated trajectory. In this work we consider how to perform such procedural learning from observation, which could help to enable agents to better use the enormous set of video data on observation sequences. Our approach exploits the properties of this setting to incrementally build an open loop action plan that can yield the desired subsequence, and can be used in both Markov and partially observable Markov domains. In addition, procedures commonly involve repeated extended temporal action subsequences. Our method optimistically explores actions to leverage potential repeated structure in the procedure. In comparing to some state-of-the-art approaches we find that our explicit procedural learning from observation method is about 100 times faster than policy-gradient based approaches that learn a stochastic policy and is faster than model based approaches as well. We also find that performing optimistic action selection yields substantial speed ups when latent dynamical structure is present.
Distributed Geo-Spatial LISP Blackboard for Automotive

This document specifies the use of LISP Blackboard for distributedGeo-Spatial Publish/Subscribe automotive applications.
SWNet: Small-World Neural Networks and Rapid Convergence

Training large and highly accurate deep learning (DL) models is computationally costly. This cost is in great part due to the excessive number of trained parameters, which are well-known to be redundant and compressible for the execution phase. This paper proposes a novel transformation which changes the topology of the DL architecture such that it reaches an optimal cross-layer connectivity. This transformation leverages our important observation that for a set level of accuracy, convergence is fastest when network topology reaches the boundary of a Small-World Network. Small-world graphs are known to possess a specific connectivity structure that enables enhanced signal propagation among nodes. Our small-world models, called SWNets, provide several intriguing benefits: they facilitate data (gradient) flow within the network, enable feature-map reuse by adding long-range connections and accommodate various network architectures/datasets. Compared to densely connected networks (e.g., DenseNets), SWNets require a substantially fewer number of training parameters while maintaining a similar level of classification accuracy. We evaluate our networks on various DL model architectures and image classification datasets, namely, CIFAR10, CIFAR100, and ILSVRC (ImageNet). Our experiments demonstrate an average of ~2.1x improvement in convergence speed to the desired accuracy
Awareness and motivation of medical university students in respect of digital medicine - the five-year-trend

Introduction . Transition of public health services  to principles of digital medicine objectively demands training of students to skills of basic information and communication technologies  (ICT). The purpose of  research was  studying five years'  dynamics  of questioning results of the students,  describing their readiness  and motivation to participation in development  of digital medicine. Materials  and methods . Results  of processing  of 300  questionnaires  on application ICT in public health services were analysed, consisting  of four blocks. Results and  discussion . Questioning  has  shown  the  increased  computer literacy of students,  a degree of knowledge of telemedicine, at the same  time about a quarter of students have  no  generated  opinion on  expediency  of application ICT in public health services.  Conclusions . The share  of the students positively estimating prospects of telemedicine and wishing to study and to apply ICT in the work, has increased for 5 years by 25% and correlates with a level of computer literacy and awareness about digitalization of public health system.
A NEW EXPERIENCE IN ARCHITECTURAL WORKSHOP TEACHING BY USING PROJECT-BASED LEARNING

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 7865-7871ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1948Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
EASILY INTEGRATE TECHNOLOGY INTO YOUR CLASSROOM

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9251-9255ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2293Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
PROMOTING COMMUNICATION STRATEGIES IN THE EDUCATIONAL ENVIRONMENT FOR PROFESSIONAL PURPOSES

1 Moscow City University (RUSSIAN FEDERATION)2 National Research University MIET (RUSSIAN FEDERATION)
LEARNING TO COLLABORATION: CAN INTEGRATED LEARNING IMPROVE STUDENTS PERCEPTIONS AND OUTCOMES?

The introduction of the so-called Student Outcomes (SOs) in curricula is a main objective for the Universitat Politècnica de València (UPV).SOs are adaptive dimensions of students to the labour world and to lifelong learning.They are a complementary reference to academic marks, but they also grow to be academic outcomes in themselves.However, the integration of these SOs in the methodology and dynamic of traditional subjects and the obtaining of objective evidence of their achievement and results is a big challenge.UPV details in its Strategy Plan 2015-2020 the significance of these SOs, and integrates actions to promote initiatives to help meet the challenge, such as Educational Innovation and Improvement Projects (PIME).The present work explains an activity carried out within this framework.This contribution describes an experience carried out with the collaboration of lecturers of three different subjects taught in the third year of the degree of Tourism and double degree Tourism and Business Management: Catering Production Management (CPM), New Technologies Applied to Tourism (NTAT), and Business English (BE).The actions completed were designed to simultaneously develop and assess different SOs: Comprehension and integration (CT-01) 1 , Team work and leadership (CT-06), and effective communication (CT-08).Project based learning methodologies were used.Different groups of students, created using the Belbin Team Role Method, developed a catering business project.For it, they used content learnt in the subject CPM, created a website (contents based on NTAT), and presented their work in English (related BE).The contents, techniques and knowledge were developed in parallel in the three subjects and integrated in the project.Specific assessment actions were designed for each subject, the project was considered for the final mark of all three subjects.Thus, the greatest possible amount of synergies among the subjects was created.The final result of the project was presented both in written form and in oral form in English.The three lecturers jointly evaluated the works presented, considering knowledge, content and outcomes accomplished.Two surveys were used to measure the project; one half-way, to assess its development, and another at the end, to assess the results.Then, there was a comparison of individual results vs group results.Student feedback about the adequacy of the methodology, class dynamism and learning outcomes was satisfactory, as was collaboration between lecturers.As the main limiting factor of the project, we can mention the small size of the group, which did not allow a parallel investigation with experimental and control groups, and the difficulty to include part-time teachers of other subjects to the project due to their lack of availability, as well as the existing syllabus and class distribution, which do not allow much flexibility outside the usual activities.
PROFESSIONAL COMPETENCIES FOR PROFESSORS OF THE 21ST CENTURY: ANALYTICAL AND DESCRIPTIVE STUDY

Appears in: INTED2019 Proceedings Publication year: 2019Page: 4806 (abstract only)ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1197Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
ICTS AND CONCENTRATION LEVELS IN EARLY EDUCATION STUDENTS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9736-9745ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2421Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
​CAN E-GOVERNANCE MAKE AN IMPACT ON NIGERIA’S POLITICAL AND ECONOMIC GROWTH?

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 792-798ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0277Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
INTERPRETATION OF THE CONCEPT OF DERIVATIVE AND DEFINITE INTEGRAL IN A SIMPLE WAY

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8495-8499ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2121Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Robust Exploration with Tight Bayesian Plausibility Sets

Optimism about the poorly understood states and actions is the main driving force of exploration for many provably-efficient reinforcement learning algorithms. We propose optimism in the face of sensible value functions (OFVF)- a novel data-driven Bayesian algorithm to constructing Plausibility sets for MDPs to explore robustly minimizing the worst case exploration cost. The method computes policies with tighter optimistic estimates for exploration by introducing two new ideas. First, it is based on Bayesian posterior distributions rather than distribution-free bounds. Second, OFVF does not construct plausibility sets as simple confidence intervals. Confidence intervals as plausibility sets are a sufficient but not a necessary condition. OFVF uses the structure of the value function to optimize the location and shape of the plausibility set to guarantee upper bounds directly without necessarily enforcing the requirement for the set to be a confidence interval. OFVF proceeds in an episodic manner, where the duration of the episode is fixed and known. Our algorithm is inherently Bayesian and can leverage prior information. Our theoretical analysis shows the robustness of OFVF, and the empirical results demonstrate its practical promise.
РЕДУКЦІЯ ЗМІСТУ НАВЧАННЯ МОНІТОРИНГУ СТАНУ ҐРУНТУ СЕРЕДОВИЩА ІСНУВАННЯ

Based on the theoretical analysis of scientific, technical and methodological literature, study and summarizing the experience of didactic reduction methods developing, using the methods of statistics, a method of vertical didactic reduction of the learning content of the environmental soil monitoring has been developed.The sufficiency of the content is substantiated, verified and confirmed using the methods of statistics.The implementation of the method leads to a decrease in time for measurements, calculations, and analysis when obtaining an approximate result with statistically small errors. It leads to the maximization of information about the results obtained under conditions of limited study time, as well as under conditions of limited time for its implementation into future professional activities. The vertical reduction method comprises the following steps: selection of research objects and identification of partial indicators for soil evaluation; data collection for analysis; standardization of partial indicators and calculation the integral indicator for soil evaluation; identification of partial indicators that are the most important in their influence on the integral indicator on the basis of multiple regression; clustering research objects in order to determine their excellent characteristics and typical cluster representatives; formation of conclusions and implementation of the vertical reductionmethod of the learning content of the environmental soil monitoring.The results are adequate which is evidenced by the high values of the coefficient of determination, R2 = 0,967, the adjusted coefficient of determination, Adj.R2 = 0,961, and by the low value of the standard error estimator, Std.Error of estimate = 0.021.The method forms a toolkit for its application in relation to other topics of the environmental monitoring learning.
AN INEXPENSIVE ROBOTIC KIT FOR CHILDREN EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4692-4699ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1167Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
COGNITIVE GAME LIBRARY AS A FORM OF CULTURAL IDENTITY DEVELOPMENT BY PRESCHOOL CHILDREN

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4912-4921ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1220Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Enhancing Cultural Heritage Tourism Experience with Augmented Reality Technology in Bali

Cultural heritage tourism industry is generally required to continuously be creative in finding new strategies for attracting and engaging tourists actively in enjoying this type of tourism. However, cultural heritage managers generally face challenges in marketing and competitiveness. One of the ways to gain competitive advantage is the implementation of the Augmented Reality technology. This study was conducted in order to recreate an interpretation of tourist attractions with the use of Augmented Reality in Bali with the aim of enhancing cultural heritage tourists experience. The methodology used are documentation, interview, usability study and observation. Researches on usability involves users in testing a prototype. The prototype here is an augmented reality app that present the condition of three tourist attractions in Bali (Kuta, Sanur and Uluwatu), back then to 1970-1980s, to the times before Mass Tourism became a threat like nowadays. The usability study and observation method are widely used to understand how people work with electronic devices such as mobile phones and tablets in recent days. The expected results in this study are to produce an app that is useful to enhance the experience of tourists in Bali and at the end it is expected to create a better appreciation to the culture, history of Bali and its tourism.&#x0D; Keywords: Augmented Reality, Cultural, Heritage, Tourism, Tourist, Experience, Bali
ELECTRONIC BRAINSTORMING IN THE INNOVATION LABORATORY - NEW WAY OF VOCATIONAL TRAINING FOR SPECIAL EDUCATION TEACHERS

ELECTRONIC BRAINSTORMING IN THE INNOVATION LABORATORY - NEW WAY OF VOCATIONAL TRAINING FOR SPECIAL EDUCATION TEACHERS
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

In recent years there is a surge of interest in applying distant supervision (DS) to automatically generate training data for relation extraction (RE). In this paper, we study the problem what limits the performance of DS-trained neural models, conduct thorough analyses, and identify a factor that can influence the performance greatly, shifted label distribution. Specifically, we found this problem commonly exists in real-world DS datasets, and without special handing, typical DS-RE models cannot automatically adapt to this shift, thus achieving deteriorated performance. To further validate our intuition, we develop a simple yet effective adaptation method for DS-trained models, bias adjustment, which updates models learned over the source domain (i.e., DS training set) with a label distribution estimated on the target domain (i.e., test set). Experiments demonstrate that bias adjustment achieves consistent performance gains on DS-trained models, especially on neural models, with an up to 23% relative F1 improvement, which verifies our assumptions. Our code and data can be found at \url{https://github.com/INK-USC/shifted-label-distribution}.
EXPLORING PEDAGOGICAL APPROACHES FOR NEW PRODUCT DESIGN AND DEVELOPMENT COURSES IN ACADEMIA

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 8371-8380ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2083Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain