scholarly journals The AI-Atlas: Didactics for Teaching AI and Machine Learning On-Site, Online, and Hybrid

2021 ◽  
Vol 11 (7) ◽  
pp. 318
Author(s):  
Thilo Stadelmann ◽  
Julian Keuzenkamp ◽  
Helmut Grabner ◽  
Christoph Würsch
Keyword(s):  
Machine Learning ◽  
Best Practices ◽  
Online Teaching ◽  
Public Speaking ◽  
Graduate Program ◽  
Tertiary Education ◽  
Research Question ◽  
Design Based Research ◽  
The Subject ◽  
Diverse Audience

We present the “AI-Atlas” didactic concept as a coherent set of best practices for teaching Artificial Intelligence (AI) and Machine Learning (ML) to a technical audience in tertiary education, and report on its implementation and evaluation within a design-based research framework and two actual courses: an introduction to AI within the final year of an undergraduate computer science program, as well as an introduction to ML within an interdisciplinary graduate program in engineering. The concept was developed in reaction to the recent AI surge and corresponding demand for foundational teaching on the subject to a broad and diverse audience, with on-site teaching of small classes in mind and designed to build on the specific strengths in motivational public speaking of the lecturers. The research question and focus of our evaluation is to what extent the concept serves this purpose, specifically taking into account the necessary but unforeseen transfer to ongoing hybrid and fully online teaching since March 2020 due to the COVID-19 pandemic. Our contribution is two-fold: besides (i) presenting a general didactic concept for tertiary engineering education in AI and ML, ready for adoption, we (ii) draw conclusions from the comparison of qualitative student evaluations (n = 24–30) and quantitative exam results (n = 62–113) of two full semesters under pandemic conditions with the result of previous years (participants from Zurich, Switzerland). This yields specific recommendations for the adoption of any technical curriculum under flexible teaching conditions—be it on-site, hybrid, or online.

Predicting the citation and impact factor of terms for scientific publications using machine learning algorithms

2020 ◽  
Author(s):  
Aleksey Klokov ◽  
Evgenii Slobodyuk ◽  
Michael Charnine
Keyword(s):  
Machine Learning ◽  
Semantic Processing ◽  
The Body ◽  
Machine Learning Algorithms ◽  
Scientific Publications ◽  
Text Data ◽  
Semantic Relationships ◽  
Subject Areas ◽  
The Subject ◽  
Scientific Environment

The object of the research when writing the work was the body of text data collected together with the scientific advisor and the algorithms for processing the natural language of analysis. The stream of hypotheses has been tested against computer science scientific publications through a series of simulation experiments described in this dissertation. The subject of the research is algorithms and the results of the algorithms, aimed at predicting promising topics and terms that appear in the course of time in the scientific environment. The result of this work is a set of machine learning models, with the help of which experiments were carried out to identify promising terms and semantic relationships in the text corpus. The resulting models can be used for semantic processing and analysis of other subject areas.

Polytechnic to Business Project (P2B) a Case of Innovation and Knowledge Transference

2019 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Teresa Paiva
Keyword(s):  
Knowledge Transfer ◽  
Best Practices ◽  
Education Institution ◽  
Theoretical Background ◽  
Transfer Model ◽  
Case Study Method ◽  
Multiple Sources ◽  
The Subject ◽  
Manage Innovation

Background: The theoretical background of this article is on the model developed of knowledge transfer between universities and the industry in order to access the best practices and adapt to the study case in question regarding the model of promoting and manage innovation within the universities that best contribute with solution and projects to the business field. Objective: The development of a knowledge transfer model is the main goal of this article, supported in the best practices known and, also, to reflect in the main measurement definitions to evaluate the High Education Institution performance in this area. Methods: The method for this article development is the case study method because it allows the fully understanding of the dynamics present within a single setting, and the subject examined to comprehend what is being done and what the dynamics mean. The case study does not have a data collection method, as it is a research that may rely on multiple sources of evidence and data which should be converged. Results: Since it’s a case study this article present a fully description of the model proposed and implemented for the knowledge transfer process of the institution. Conclusion: Still in a discussion phase, this article presents as conclusions some questions and difficulties that could be pointed out, as well as some good perspectives of performed activity developed.

THE TRUMP ADMINISTRATION’S APPROACH TO ENERGY SECURITY IN POLAND AND THE BALTIC STATES

2020 ◽  
Vol 18 (1/2020) ◽  
pp. 33-67
Author(s):  
Olga Stevanovic
Keyword(s):  
Energy Security ◽  
Research Question ◽  
Energy Resources ◽  
Baltic States ◽  
Realist Theory ◽  
Main Research ◽  
Security Challenges ◽  
The Us ◽  
The Subject ◽  
The Baltic

The subject of this paper encompasses US policy towards Poland and the Baltic States regarding energy security during Donald Trump’s presidency. It is discernible that vast domestic energy resources have created an opportunity for the US to project more power to these countries, and the surrounding region. We argue that Trump and his administration’s perceptions have served as an intervening variable in that opportunity assessment, in accordance with the neoclassical realist theory. The main research question addressed in this paper is whether US has used that opportunity to contribute to energy security in countries it has traditionally deemed as allies. Two aspects of US approach to energy security of the designated countries are taken into consideration: liquified natural gas exports and support for the Three Seas Initiative. The way Trump presented his policy and its results in his public statements has also been considered in this paper. The article will proceed as follows. The first subsection of the paper represents a summary of energy security challenges in Poland and the Baltic States. The second subsection is dedicated to the opportunity for the US to project energy power and to Trump’s perceptions relevant for the opportunity assessment. The third subsection deals with American LNG exports to these countries as a possible way for contributing to energy security in Poland and the Baltic States. The last part of the paper addresses the Three Seas Initiative and US approach to this platform.

scholarly journals Advancing Stress Detection Methodology with Deep Learning Techniques Targeting UX Evaluation in AAL Scenarios: Applying Embeddings for Categorical Variables

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1550
Author(s):  
Alexandros Liapis ◽  
Evanthia Faliagka ◽  
Christos P. Antonopoulos ◽  
Georgios Keramidas ◽  
Nikolaos Voros
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
User Experience ◽  
Electrodermal Activity ◽  
Binary Classification ◽  
Research Question ◽  
Classification Problem ◽  
Categorical Variables ◽  
Stress Detection ◽  
Software Failures

Physiological measurements have been widely used by researchers and practitioners in order to address the stress detection challenge. So far, various datasets for stress detection have been recorded and are available to the research community for testing and benchmarking. The majority of the stress-related available datasets have been recorded while users were exposed to intense stressors, such as songs, movie clips, major hardware/software failures, image datasets, and gaming scenarios. However, it remains an open research question if such datasets can be used for creating models that will effectively detect stress in different contexts. This paper investigates the performance of the publicly available physiological dataset named WESAD (wearable stress and affect detection) in the context of user experience (UX) evaluation. More specifically, electrodermal activity (EDA) and skin temperature (ST) signals from WESAD were used in order to train three traditional machine learning classifiers and a simple feed forward deep learning artificial neural network combining continues variables and entity embeddings. Regarding the binary classification problem (stress vs. no stress), high accuracy (up to 97.4%), for both training approaches (deep-learning, machine learning), was achieved. Regarding the stress detection effectiveness of the created models in another context, such as user experience (UX) evaluation, the results were quite impressive. More specifically, the deep-learning model achieved a rather high agreement when a user-annotated dataset was used for validation.

scholarly journals Best practices in machine learning for chemistry

2021 ◽  
Vol 13 (6) ◽  
pp. 505-508
Author(s):  
Nongnuch Artrith ◽  
Keith T. Butler ◽  
François-Xavier Coudert ◽  
Seungwu Han ◽  
Olexandr Isayev ◽  
...  
Keyword(s):  
Machine Learning ◽  
Best Practices

Sustainability Certification and Green Public Procurement: Ideals and Outcomes in a New Jersey School District

2021 ◽  
pp. 097340822110125
Author(s):  
Cluny Mendez ◽  
Christopher L. Atkinson
Keyword(s):  
New Jersey ◽  
School District ◽  
School Districts ◽  
Best Practices ◽  
Public Procurement ◽  
Lessons Learned ◽  
Future Research ◽  
Review Of The Literature ◽  
Green Public Procurement ◽  
The Subject

The implementation of sustainability and green public procurement (GPP) initiatives in school districts has been the subject of some debate; questions over definitions and programme goals have led to inconsistency and concerns about programme achievements. The legitimacy of programmes rests not only with the announcement of policy by officials, but with adherence to policy and staff buy-in. This study examines barriers districts face, and makes recommendations based upon district experience on ways to successfully implement sustainability and GPP initiatives. A review of the literature on GPP and legitimacy in the execution of public functions within the education domain begins the study. Major components relative to best practices for GPP programmes are studied through the review of GPP-related documents from a school district in New Jersey considered as an exemplar of such programmes. Analysis of an interview with the district’s representatives suggests that, despite the normative approval such programmes receive, and widespread understanding of the rationale for pursuing such initiatives, there remain critical failings in implementation of these programmes, stemming from education, resourcing of initiatives and prioritization of green procurement in relation to other district priorities. The study concludes with lessons learned from this case, which is important given its positioning within New Jersey as an exemplar and recommendations for future research where work in this area is needed.

scholarly journals Coronavirus Disease 2019 and Its Effect on Teaching and Learning Process in the Higher Educational Institutions

2021 ◽  
Vol 8 (1) ◽  
pp. 90-107
Author(s):  
Harshavardhan Reddy Kummitha ◽  
Naveen Kolloju ◽  
Prakash Chittoor ◽  
Venkatesh Madepalli
Keyword(s):  
Digital Divide ◽  
Learning Process ◽  
Online Teaching ◽  
Teaching And Learning ◽  
Research Question ◽  
Cross Sectional Study ◽  
Successful Implementation ◽  
Cross Sectional ◽  
Training Programmes ◽  
Teaching Learning

In response to the coronavirus disease 2019 (COVID-19) pandemic, most of the higher education institutions (HEIs) across the globe have replaced conventional teaching with online teaching. However, the technological preparedness of countries of varied nature differs significantly. In this context, the purpose of the study is to answer the following research question: how are the HEIs mitigating the difficulties that have resulted from the COVID-19 pandemic to facilitate online teaching–learning process? The study is carried out based on a cross-sectional study from 281 academic professionals who are employed in HEIs in India and Ethiopia. The findings from this comparative study highlight that digital divide and lack of institutional preparedness are found to be major problems that constrained the effective implementation of online teaching/learning. Besides, this study also found that training programmes for the faculty members to utilize web resources and facilitate online teaching were found to be limited in both the countries. The article concludes by offering suggestions and policy advice to minimize the digital divide and for successful implementation of online teaching in HEIs.

Nauczyciel w czasie edukacji zdalnej w polskich tygodnikach opinii. Analiza dyskursu

2021 ◽  
pp. 59-74
Author(s):  
Justyna Dobrołowicz
Keyword(s):  
Critical Discourse Analysis ◽  
Research Question ◽  
Critical Discourse ◽  
Specific Power ◽  
Remote Work ◽  
Sociological Perspective ◽  
The Press ◽  
The World ◽  
Communication Activity ◽  
The Subject

The aim of the research presented in this article is to identify the ways in which theopinion-forming press presents teachers and their remote work with students. I assume thatby constructing press statements: mentioning or concealing certain topics, using specificlinguistic forms – journalists influence what readers think about Polish teachers, how theyevaluate their attitude to work and its effects. The problems raised in the research fall withinthe field of pedeutology – a pedagogical subdiscipline examining the teaching profession.Pedeutology helps to understand the specificity of a teacher’s work, analyses its determinants,creates models of professional competences. I have made the subject of my research thepress discourse understood as a communication activity, as a result of which we learn tothink about the world in a certain way. Although the concept of discourse is currently a usefuland popular research category, it still causes many definition difficulties. I am closest tothe sociological perspective of understanding discourse, according to which discourse hasa specific power to create the world, because it provides its participants with ways ofunderstanding reality. Getting to know the press discourse about teachers is thereforea very important matter, the way of writing about this professional group determines howpeople perceive it and how to behave towards it. The method of analysing the 18 presstexts selected for the study is a critical discourse analysis, which was used to answer thefollowing research question: what linguistic means were used in the discourse on teacher’sremote work and what the effects of this discourse may be. In the analysed texts about distance education, mainly expressions with a clearly negative semantic character are used,which in turn leads to discrediting teachers and shapes the belief about the crisis situationin education.

scholarly journals Are Best Practices Really Best? A Review of the Best Practices Literature in Library and Information Studies

2013 ◽  
Vol 8 (4) ◽  
pp. 110 ◽  
Author(s):  
Jackie Druery ◽  
Nancy McCormack ◽  
Sharon Murphy
Keyword(s):  
Best Practices ◽  
Best Practice ◽  
Information Science ◽  
Library And Information Science ◽  
Science Literature ◽  
Common Definition ◽  
Library And Information Studies ◽  
Information Studies ◽  
The Subject ◽  
Definition Of

Objective - The term “best practice” appears often in library and information science literature, yet, despite the frequency with which the term is used, there is little discussion about what is meant by the term and how one can reliably identify a best practice. Methods – This paper reviews 113 articles that identify and discuss best practices, in order to determine how “best practices” are distinguished from other practices, and whether these determinations are made on the basis of consistent and reliable evidence. The review also takes into account definitions of the term to discover if a common definition is used amongst authors. Results – The “evidence” upon which papers on “best practices” are based falls into one of the following six categories: 1) opinion (n=18, 15%), 2) literature reviews (n=13, 12%), 3) practices in the library in which the author works (n=19, 17%), 4) formal and informal qualitative and quantitative approaches (n=16, 14%), 5) a combination of the aforementioned (i.e., combined approaches) (n=34, 30%), and 6) “other” sources or approaches which are largely one of a kind (n=13, 12%). There is no widely shared or common definition of “best practices” amongst the authors of these papers, and most papers (n=94, 83%) fail to define the term at all. The number of papers was, for the most part, split evenly amongst the six categories indicating that writers on the subject are basing “best practices” assertions on a wide variety of sources and evidence. Conclusions – Library and information science literature on “best practices” is rarely based on rigorous empirical methods of research and therefore is generally unreliable. There is, in addition, no widely held understanding of what is meant by the use of the term.

scholarly journals Factors that Encourage Student Engagement: Insights from a Case Study of ‘First Time’ Students in a New Zealand University.

2011 ◽  
Vol 8 (1) ◽  
pp. 81-96
Author(s):  
Barbara Russell ◽  
◽  
Gloria R L Slater ◽  
Keyword(s):  
New Zealand ◽  
Student Engagement ◽  
Conceptual Model ◽  
Tertiary Education ◽  
Research Question ◽  
Education Programme ◽  
Active Citizenship ◽  
Structured Interviews ◽  
First Time

This case study reports on the findings from one of nine tertiary institutions that took part in a project funded by the Teaching and Learning Research Initiative (TLRI) in New Zealand. The research question explored how institutional and non institutional learning environments influence student engagement with learning in a higher education, university setting. Data was collected initially by means of a questionnaire; subsequently more in-depth data was gathered through semi-structured interviews with students randomly selected from those who indicated, on the questionnaire, that they were willing to be interviewed. Respondents were enrolled for the first time in this institution, but not necessarily for the first time in a tertiary education programme. A conceptual model with four strands: motivation and agency; transactional engagement; institutional support and active citizenship was used to organise the data. Findings were analysed against a synthesis of current literature and suggest that factors identified in the first three strands of the conceptual model played a significant role in student engagement with learning; active citizenship, however, did not feature highly in student responses and is an aspect of engagement that could benefit from further research.

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