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1. The Skills Imperative 2035: What Does the Literature Tell Us about Essential Skills Most Needed for Work? Working Paper 1

Author

National Foundation for Educational Research (NFER) (United Kingdom), Taylor, Amanda, Nelson, Julie, O'Donnell, Sharon, Davies, Elizabeth, and Hillary, Jude

Abstract

Calls are intensifying for workforce reskilling and a re-engineering of education and training to meet the demands of the future. Current policy in England focuses on technical, digital and green economy skills, underpinned by strong literacy and numeracy and a knowledge-rich school curriculum. National Foundation for Educational Research's Nuffield-funded research study, "The Skills Imperative 2035: Essential skills for tomorrow's workforce" investigates: (1) which essential employment skills will be most needed in 2035; (2) what will their likely supply be and where will the gaps be; (3) which occupations and workers are most at risk of not having these skills; (4) which skills will affected workers need to develop to transition into new employment opportunities; and (5) the role of educators and employers in helping to prepare young people and workers for the future labour market. This first report, a review drawing on a wide-ranging and growing evidence base, sets the scene for the wider research study by bringing together what the literature suggests about: (1) what the world of work will look like in 2035; and (2) which essential employment skills will be in demand and how what should be done to prepare.

Published
2022

2. Artificial Intelligence & Higher Education: Towards Customized Teaching and Learning, and Skills for an AI World of Work. Research & Occasional Paper Series: CSHE.6.2020

Author

University of California, Berkeley. Center for Studies in Higher Education and Taneri, Grace Ufuk

Abstract

We are living in an era of artificial intelligence (AI). There is wide discussion about and experimentation with the impact of AI on education/higher education. In this paper, we give a discussion of how AI is evolving, explore the ways AI is changing education/higher education, give a concise account of the skills universities need to teach their students to prepare them for an AI world of work, and talk succinctly about the changing nature of jobs and the workforce.

Published
2020

3. Automation of Biomarker Preconcentration, Capture, and Nanozyme Signal Enhancement on Paper-Based Devices.

Author

Bradbury DW, Azimi M, Diaz AJ, Pan AA, Falktoft CH, Wu BM, and Kamei DT

Subjects
Biomarkers analysis, Cells, Cultured, Point-of-Care Systems, Automation, Escherichia coli O157 isolation & purification, Gold chemistry, Immunoassay, Paper, Platinum chemistry
Abstract

Infectious diseases remain one of the leading causes of deaths in developing countries because of a lack of basic sanitation, healthcare clinics, and centralized laboratories. Paper-based rapid diagnostic tests, such as the lateral-flow immunoassay (LFA), provide a promising alternative to the traditional laboratory-based tests; however, they typically suffer from having a poor sensitivity. Biomarker preconcentration and signal enhancement are two common methods to improve the sensitivity of paper-based assays. While effective, these methods often require multiple liquid handling steps which are not ideal for use by untrained personnel in a point-of-care setting. Our lab previously discovered the phenomenon of an aqueous two-phase system (ATPS) separating on paper, which allowed for the seamless integration of concentration and detection of biomarkers on the LFA. In this work, we have extended the functionality of an ATPS separating on paper to automate the sequential delivery of signal enhancement reagents in addition to concentrating biomarkers. The timing of reagent delivery was controlled by changing the initial composition of the ATPS. We applied this technology to automate biomarker concentration and nanozyme signal enhancement on the LFA, resulting in a 30-fold improvement in detection limit over the conventional LFA when detecting Escherichia coli , all while maintaining a single application step.

Published
2019
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4. Text as Data Methods for Education Research. CEPA Working Paper No. 19-04

Author

Stanford Center for Education Policy Analysis (CEPA), Fesler, Lily, Dee, Thomas, Baker, Rachel, and Evans, Brent

Abstract

Recent advances in computational linguistics and the social sciences have created new opportunities for the education research community to analyze relevant large-scale text data. However, the take-up of these advances in education research is still nascent. In this paper, we review the recent automated text methods relevant to educational processes and determinants. We discuss both lexical-based and supervised methods, which expand the scale of text that researchers can analyze, as well as unsupervised methods, which allow researchers to discover new themes in their data. To illustrate these methods, we analyze the text interactions from a field experiment in the discussion forums of online classes. Our application shows that respondents provide less assistance and discuss slightly different topics with the randomized female posters, but respond with similar levels of positive and negative sentiment. These results demonstrate that combining qualitative coding with machine learning techniques can provide for a rich understanding of text-based interactions.

Published
2019

5. The Prospects for Skills and Employment in an Age of Digital Disruption: A Cautionary Note. SKOPE Research Paper No. 127

Author

University of Oxford (United Kingdom), Centre on Skills, Knowledge and Organisational Performance (SKOPE), Brown, Phillip, Lloyd, Caroline, and Souto-Otero, Manuel

Abstract

Almost in a blink of the eye the policy focus on the 'knowledge' economy, with mass ranks of high skilled workers, has given way to claims of widespread 'technological unemployment'. This Working Paper will examine competing claims on the relationship between automation, skills and the future of work. It examines the research evidence on the scale of job losses anticipated as a consequence of digital disruption. It presents three scenarios of the impact of digital disruption on future skill requirements, before considering how evidence on automation and digital disruption is used to influence and inform UK government policy interventions on skills, employment and labour markets. In conclusion, we recommend caution in interpreting existing evidence. While high profile reports on digital disruption make for eye-catching headlines, they make for poor policy formulation. A key message is that technology is not destiny. It is human decisions that will determine the future of work.

Published
2018

6. Three-dimensional paper based platform for automatically running multiple assays in a single step.

Author

Wu Y, Ren Y, Han L, Yan Y, and Jiang H

Subjects
Colorimetry economics, Colorimetry instrumentation, Electrochemical Techniques economics, Electrochemical Techniques instrumentation, Microfluidic Analytical Techniques economics, Microfluidic Analytical Techniques instrumentation, Automation, Paper, Troponin I analysis
Abstract

Paper based assays are paving the way to automated, simplified, robust and cost-effective point of care testing (POCT). We propose a method for fabricating three dimensional (3D) microfluidic paper based analytical devices (μPADs) via combining thin adhesive films and paper folding, which avoids the use of cellulose powders and the complex folding sequence and simultaneously permits assays in several layers. To demonstrate the effectiveness of this approach, a 3DμPADs was designed to conduct more assays on a small footprint, allowing dual colorimetric and electrochemical detections. More importantly, we further developed a 3D platform for implementing automated and multiplexed ELISA in parallel, since ELISA, a routine and standard laboratory method, has rarely been used in practical analyses outside of the laboratory. In this configuration, complex and multistep diagnostic assays can be carried out with the addition of the sample and buffer in a simple fashion. Using Troponin I as model, the device showed a broad dynamic range of detection with a detection limit of 0.35 ng/mL. Thus, the developed platforms allow for various assays to be cost-effectively carried out on a single 3D device, showing great potential in an academic setting and point of care testing under resource-poor conditions., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Published
2019
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7. Artificial Intelligence on Campus: Parameters for Thoughtful Action

Author

Alec Thomson

Abstract

Artificial intelligence tools have presented many challenges and opportunities to transform teaching and learning on college campuses. These changes are significant enough to require colleges to take action to create a framework by which faculty and students can navigate the proper usage of these tools. Rather than working to create entirely new policies strictly for addressing these new technologies, they should instead edit their existing academic integrity and intellectual property statements to incorporate explicit mentions of artificial intelligence.

Published
2024

8. Transforming Academic Library Operations in Africa with Artificial Intelligence: Opportunities and Challenges: A Review Paper

Author

Echedom, Anthonia U. and Okuonghae, Omorodion

Abstract

This paper focuses on the opportunities and challenges associated with the use of artificial intelligence (AI) in academic library operations. In the quest to render fast, effective and efficient services, academic libraries have adopted different technologies in the past. Artificial intelligence technologies is the latest among the technologies currently being introduced in libraries. The technology which is considered an intelligent system, come in the form of robots and expert systems which have natural language processing, machine learning and pattern recognition capabilities. This paper examined the features of AI, the application of AI to library operations, examples of academic libraries with AI technologies in Sub-Saharan Africa, the need for AI in libraries and the challenges associated with the adoption of AI in libraries. The study concluded that AI holds a lot of prospects for the improvement of information services delivery in African academic libraries. Consequently, its adoption is a sinequanon to delivering robust library services in the Fourth Industrial Revolution (4IR).

Published
2021
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9. LLM potentiality and awareness: a position paper from the perspective of trustworthy and responsible AI modeling

Author

Iqbal H. Sarker

Subjects
LLM, Automation, Risk factors, Trustworthy AI, Responsible AI, Text analytics, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95
Abstract

Abstract Large language models (LLMs) are an exciting breakthrough in the rapidly growing field of artificial intelligence (AI), offering unparalleled potential in a variety of application domains such as finance, business, healthcare, cybersecurity, and so on. However, concerns regarding their trustworthiness and ethical implications have become increasingly prominent as these models are considered black-box and continue to progress. This position paper explores the potentiality of LLM from diverse perspectives as well as the associated risk factors with awareness. Towards this, we highlight not only the technical challenges but also the ethical implications and societal impacts associated with LLM deployment emphasizing fairness, transparency, explainability, trust and accountability. We conclude this paper by summarizing potential research scopes with direction. Overall, the purpose of this position paper is to contribute to the ongoing discussion of LLM potentiality and awareness from the perspective of trustworthiness and responsibility in AI.

Published
2024
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11. Declarative Representation of UML State Machines for Querying and Simulation

Author

Mehrafrooz, Zohreh, Jannatpour, Ali, Constantinides, Constantinos, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tekinerdoğan, Bedir, editor, Spalazzese, Romina, editor, Sözer, Hasan, editor, Bonfanti, Silvia, editor, and Weyns, Danny, editor

Published
2024
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13. IoT Enabled Framework for Smart Home Automation Using Artificial Intelligence and Blockchain Technology

Author

Mazid, Abdul, Kirmani, Sheeraz, Manaullah, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Challa, Rama Krishna, editor, Aujla, Gagangeet Singh, editor, Mathew, Lini, editor, Kumar, Amod, editor, Kalra, Mala, editor, Shimi, S. L., editor, Saini, Garima, editor, and Sharma, Kanika, editor

Published
2024
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14. The Future of Work and Skills in ETF Partner Countries. ETF Issues Paper

Author

European Training Foundation (ETF) (Italy), Popper, Rafael, and Loikkanen, Torsti

Abstract

This ETF Issues Paper on the Future of Work and Skills is the first attempt to collect and analyse existing information and data on the skills demands of the future in ETF partner countries, and to explore responses for better managing the transition (transformation) towards an inclusive future for the benefit of individuals and societies. Thus, the paper analyses the impact of global developments on skills demands in ETF partner countries in order to support their discussions on the policy reforms required for managing the transition to the future. Rather than making a detailed analysis of each individual country, the paper reviews the general trends across the four regions of the ETF's partner countries: South Eastern Europe and Turkey (SEET), Eastern Partnership (EaP), Southern and Eastern Mediterranean (SEMED) and Central Asia.

Published
2019

16. Automated Reporting of Code Quality Issues in Student Submissions

Author

Karnalim, Oscar, Simon, Chivers, William, Panca, Billy Susanto, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Keane, Therese, editor, Lewin, Cathy, editor, Brinda, Torsten, editor, and Bottino, Rosa, editor

Published
2023
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17. Markov Decision Process for Automatic Cyber Defense

Author

Zhou, Xiaofan, Enoch, Simon Yusuf, Kim, Dong Seong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, You, Ilsun, editor, and Youn, Taek-Young, editor

Published
2023
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18. Automatic Control System Based on Industry 4.0, PLC, and SCADA

Author

Kibulungu, Jonathan Wilondja, Laseinde, Opeyeolu Timothy, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nagar, Atulya K., editor, Singh Jat, Dharm, editor, Mishra, Durgesh Kumar, editor, and Joshi, Amit, editor

Published
2023
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19. Deep Learning Based Automated Smart Cart With Inventory Management For Sustainable Development Using IoT

Author

Jain, Aman, Nagrath, Ishu, Bankawat, Ayush, Arora, Simran, Sharma, Pavika, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Whig, Pawan, editor, Silva, Nuno, editor, Elngar, Ahmed A., editor, Aneja, Nagender, editor, and Sharma, Pavika, editor

Published
2023
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20. Integrating Industry 4.0 Technologies for Enhanced Safety Engineering: A Comprehensive Review and Analysis

Author

Hutchins, Savannah, Jhaveri, Niral, Duffy, Vincent G., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Duffy, Vincent G., editor, Krömker, Heidi, editor, A. Streitz, Norbert, editor, and Konomi, Shin'ichi, editor

Published
2023
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21. Performance Losses with Virtualization: Comparing Bare Metal to VMs and Containers

Author

Baumgartner, Jonatan, Lillo, Christophe, Rumley, Sébastien, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bienz, Amanda, editor, Weiland, Michèle, editor, Baboulin, Marc, editor, and Kruse, Carola, editor

Published
2023
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22. Swarm Maneuver of Combat UGVs on the Future Digital Battlefield

Author

Nohel, Jan, Stodola, Petr, Flasar, Zdeněk, Křišťálová, Dana, Zahradníček, Pavel, Rak, Luděk, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mazal, Jan, editor, Fagiolini, Adriano, editor, Vašík, Petr, editor, Bruzzone, Agostino, editor, Pickl, Stefan, editor, Neumann, Vlastimil, editor, Stodola, Petr, editor, and Lo Storto, Stefano, editor

Published
2023
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23. Quality Control Automation System for Furniture Connecting Fittings to Achieve Zero Defect

Author

Mertöz, Cihan, Şen, Çağla, Utuş, Ömür, Karaarslan, Nurettin, Başçı, Hüseyin, Fırat, Sedat, Alev, Uğur, Vanlı, Ali Serdar, Akdoğan, Anıl, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Haddar, Mohamed, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2023
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24. Possibilities and Barriers in Implementing of AI-Based Automation Techniques in Management

Author

Dolle, Nicolas, Kuzmina-Merlino, Irina, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kabashkin, Igor, editor, Yatskiv, Irina, editor, and Prentkovskis, Olegas, editor

Published
2023
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25. Value Entity Recognition Task in the Air Transportation on the Base of E-Texts Analysis

Author

Zervina, Olga, Stukalina, Yulia, Pavlyuk, Dmitry, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kabashkin, Igor, editor, Yatskiv, Irina, editor, and Prentkovskis, Olegas, editor

Published
2023
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27. Industry 4.0: Implementation of Technologies in Medical Manufacturing Companies

Author

Guadalupe Mori, Victor Hugo, Ogosi Auqui, José Antonio, Rosales Huamani, Jimmy Aurelio, Arenas Ñiquin, José Luis, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nagar, Atulya K., editor, Singh Jat, Dharm, editor, Mishra, Durgesh Kumar, editor, and Joshi, Amit, editor

Published
2023
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28. Internet Administration of the Paper-and-Pencil Gifted Rating Scale: Assessing Psychometric Equivalence

Author

Yarnell, Jordy B. and Pfeiffer, Steven I.

Abstract

The present study examined the psychometric equivalence of administering a computer-based version of the Gifted Rating Scale (GRS) compared with the traditional paper-and-pencil GRS-School Form (GRS-S). The GRS-S is a teacher-completed rating scale used in gifted assessment. The GRS-Electronic Form provides an alternative method of administering and completing the 72-item scale, which eases scoring and interpretation of the measure. The GRS-E reduces the potential for human error by implementing automated scoring. An automated form may increase the likelihood that the measure is utilized, supporting wider screening in the schools for gifted identification. Five of the six subscales were completed by teachers in matched pairs on 185 students. Results indicate strong internal consistency across both administration forms and no significant difference in mean scores. This study contributes to the growing body of literature in support of the psychometric equivalence of paper-and-pencil report forms administered in a computer-based environment.

Published
2015
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29. Optimization of the control paper production system of using the extremum seeking control method

Author

Olga Ermilina and Vladimir Chemodanov

Subjects
Automation, Extremum seeking controller, Papermaking, Synchronous accumulation, Synchronous detection, Science, Technology
Abstract

Article highlights Automated control system for paper production has been developed, which has increased the accuracy and stability of regulating the weight of paper web. Fiber consumption rates decreased by 2%. The standard deviation of the weight of the paper web decreased by 1.5-2%.

Published
2023
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30. Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning.

Author

Salimi Y, Mansouri Z, Hajianfar G, Sanaat A, Shiri I, and Zaidi H

Subjects
Humans, Radiography, Abdominal, Abdomen diagnostic imaging, Machine Learning, Tomography, X-Ray Computed, Contrast Media, Image Processing, Computer-Assisted methods, Automation
Abstract

Background: Contrast-enhanced computed tomography (CECT) provides much more information compared to non-enhanced CT images, especially for the differentiation of malignancies, such as liver carcinomas. Contrast media injection phase information is usually missing on public datasets and not standardized in the clinic even in the same region and language. This is a barrier to effective use of available CECT images in clinical research., Purpose: The aim of this study is to detect contrast media injection phase from CT images by means of organ segmentation and machine learning algorithms., Methods: A total number of 2509 CT images split into four subsets of non-contrast (class #0), arterial (class #1), venous (class #2), and delayed (class #3) after contrast media injection were collected from two CT scanners. Seven organs including the liver, spleen, heart, kidneys, lungs, urinary bladder, and aorta along with body contour masks were generated by pre-trained deep learning algorithms. Subsequently, five first-order statistical features including average, standard deviation, 10, 50, and 90 percentiles extracted from the above-mentioned masks were fed to machine learning models after feature selection and reduction to classify the CT images in one of four above mentioned classes. A 10-fold data split strategy was followed. The performance of our methodology was evaluated in terms of classification accuracy metrics., Results: The best performance was achieved by Boruta feature selection and RF model with average area under the curve of more than 0.999 and accuracy of 0.9936 averaged over four classes and 10 folds. Boruta feature selection selected all predictor features. The lowest classification was observed for class #2 (0.9888), which is already an excellent result. In the 10-fold strategy, only 33 cases from 2509 cases (∼1.4%) were misclassified. The performance over all folds was consistent., Conclusions: We developed a fast, accurate, reliable, and explainable methodology to classify contrast media phases which may be useful in data curation and annotation in big online datasets or local datasets with non-standard or no series description. Our model containing two steps of deep learning and machine learning may help to exploit available datasets more effectively., (© 2024 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine.)

Published
2024
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31. GPTZero vs. Text Tampering: The Battle That GPTZero Wins

Author

David W. Brown and Dean Jensen

Abstract

The growth of Artificial Intelligence (AI) chatbots has created a great deal of discussion in the education community. While many have gravitated towards the ability of these bots to make learning more interactive, others have grave concerns that student created essays, long used as a means of assessing the subject comprehension of students, may be at risk. The bot's ability to quickly create high quality papers, sometimes complete with reference material, has led to concern that these programs will make students too reliant on their ability and not develop the critical thinking skills necessary to succeed. The rise in these applications has led to the need for the development of detection programs that are able to read the students submitted work and return an accurate estimation of if the paper is human or computer created. These detection programs use natural language processing's (NLP) ideas of perplexity, or randomness of the text, and burstiness, or the tendency for certain words and phrases to appear together, plus sophisticated algorithms to compare the essays to preexisting literature to generate an accurate estimation on the likely author of the paper. The use of these systems has been found to be highly effective in reducing plagiarism among students, however concerns have been raised about the limitations of these systems. False positives, false negatives, and cross language identification are three areas of concern amongst faculty and have led to reduced usage of the detection engines. Despite the limitations however, these systems are a valuable tool for educational institutions to maintain academic integrity and ensure that students are submitting original work. [For the full proceedings, see ED656038.]

Published
2023

32. SENSOR FOR AN AUTOMATIC MEASUREMENT OF MECHANICAL PROPERTIES OF RECOVERED PAPER OBJECTS

Author

KREBS, Tobias and SCHABEL, Samuel

Subjects
automation, machine learning, mechanical properties, paper object classification, recovered paper, sensor technology, recovered paper quality, Engineering (General). Civil engineering (General), TA1-2040, Electronic computers. Computer science, QA75.5-76.95
Abstract

Recovered paper is the most important raw material for paper industry today and paper industry is one of the forerunners of circular economy. However, despite the long history with recycling the characterization of recovered paper quality is still not solved sufficiently. Here the automatic classification of paper objects can bring significant progress. Up to now, most technical approaches use NIR sensors and visual cameras, which can only “see” the surface of the objects. This often leads to misclassifications, since, for example, many packages look like graphic papers due to their printed surface. To improve these challenging classification tasks, sensors for mechanical properties of the paper objects can make an important contribution. In this paper, an automatic sensor is presented which can measure force characteristics when penetrating paper objects with specially shaped measuring tips. These force characteristics show good correlations to the mechanical properties determined in the laboratory according to standardized methods.

Published
2020
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33. The Image-Based Automatic Detection Method for Cutter Ring Edge Wear of Shield Machine

Author

Bo, Wen, Li, Fengyuan, Cai, Xiaofeng, Zhang, Changyou, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Cao, Buqing, editor, Fan, Hongfei, editor, Liu, Dongning, editor, Du, Bowen, editor, and Gao, Liping, editor

Published
2022
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35. Virtual Police Station System with Chat Bot Using FSM

Author

Gupta, Bhoomi, Rustagi, Parth, Sinha, Priyanshu, Sroa, Rohit, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Marín-Raventós, Gabriela, editor, and Mishra, Durgesh Kumar, editor

Published
2022
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36. IRIS Advanced Threat Intelligence Orchestrator- A Way to Manage Cybersecurity Challenges of IoT Ecosystems in Smart Cities

Author

Bilali, Vasiliki-Georgia, Kosyvas, Dimitrios, Theodoropoulos, Thodoris, Ouzounoglou, Eleftherios, Karagiannidis, Lazaros, Amditis, Angelos, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, González-Vidal, Aurora, editor, Mohamed Abdelgawad, Ahmed, editor, Sabir, Essaid, editor, Ziegler, Sébastien, editor, and Ladid, Latif, editor

Published
2022
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37. Functionality Testing in the Automation of Scientific Application Workflows in an HPC Environment

Author

de Jesús Orozco Luna, Felipe, González, Jesús Manuel Alemán, Dueñas, Veronica Lizette Robles, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Navaux, Philippe, editor, Barrios H., Carlos J., editor, Osthoff, Carla, editor, and Guerrero, Ginés, editor

Published
2022
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39. Co-designing Prototypes for User Experience and Engagement in Automation : Case Study of London-based Airport Future Workplace

Author

Saadati, Parisa, Abdelnour-Nocera, José, Clemmensen, Torkil, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Bhutkar, Ganesh, editor, Barricelli, Barbara R., editor, Xiangang, Qin, editor, Clemmensen, Torkil, editor, Gonçalves, Frederica, editor, Abdelnour-Nocera, José, editor, Lopes, Arminda, editor, Lyu, Fei, editor, Zhou, Ronggang, editor, and Hou, Wenjun, editor

Published
2022
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40. Co-design Workshops as a Step Towards Pilot Implementation for Complex Workplaces : A Case Study of London-Based Airport Future Workplace

Author

Saadati, Parisa, Abdelnour-Nocera, José, Clemmensen, Torkil, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ardito, Carmelo, editor, Lanzilotti, Rosa, editor, Malizia, Alessio, editor, Larusdottir, Marta, editor, Spano, Lucio Davide, editor, Campos, José, editor, Hertzum, Morten, editor, Mentler, Tilo, editor, Abdelnour Nocera, José, editor, Piccolo, Lara, editor, Sauer, Stefan, editor, and van der Veer, Gerrit, editor

Published
2022
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41. One-Word Approach in Text-Mining for Value Identification

Author

Zervina, Olga, Stukalina, Yulia, Pavlyuk, Dmitry, Rubens, Neil, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kabashkin, Igor, editor, Yatskiv, Irina, editor, and Prentkovskis, Olegas, editor

Published
2022
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42. Human-Centered Artificial Intelligence: Beyond a Two-Dimensional Framework

Author

Pacailler, Matthew, Yahoodik, Sarah, Sato, Tetsuya, Ammons, Jeremiah G., Still, Jeremiah, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chen, Jessie Y. C., editor, Fragomeni, Gino, editor, Degen, Helmut, editor, and Ntoa, Stavroula, editor

Published
2022
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44. Self Driving Car in a Constrained Environment

Author

Harish, B., Thenmozhi, Durairaj, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Fernando, Xavier, editor, Lu, Joan, editor, Piramuthu, Selwyn, editor, and Chandrabose, Aravindan, editor

Published
2022
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45. Smart License Approval Using AIOT

Author

Jagati, Anika, Raja, Maheswari, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Fernando, Xavier, editor, Lu, Joan, editor, Piramuthu, Selwyn, editor, and Chandrabose, Aravindan, editor

Published
2022
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46. Artificial Intelligence Techniques for Automating Management and Leadership Tasks: Literature Review

Author

Kuzmina-Merlino, Irina, Dolle, Nicolas, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kabashkin, Igor, editor, Yatskiv, Irina, editor, and Prentkovskis, Olegas, editor

Published
2022
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47. Assembling Automation for Furniture Fittings to Gain Durability and to Increase Productivity

Author

Kocaman, Musaddin, Mertöz, Cihan, Gökçe, Rıza, Fırat, Sedat, Akdoğan, Anıl, Vanlı, Ali Serdar, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2022
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49. Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on e-Learning (Madeira, Portugal, July 1-4, 2016)

Author

International Association for Development of the Information Society (IADIS), Nunes, Miguel Baptista, and McPherson, Maggie

Abstract

These proceedings contain the papers of the International Conference e-Learning 2016, which was organised by the International Association for Development of the Information Society, 1-3 July, 2016. This conference is part of the Multi Conference on Computer Science and Information Systems 2016, 1-4 July. The e-Learning (EL) 2016 conference aims to address the main issues of concern within e-Learning. This conference covers both technical as well as the non-technical aspects of e-Learning. These proceedings contain keynote lecture, "Twenty-First Century Skills, Technology and Open Learning: Re-Designing Teaching for the Digital Age" (Tony Bates) [abstract only] and workshop, "Making Sustainable Online Learning a Reality Informed by the Community of Inquiry Framework" (Susi Peacock and Lindesay Irvine). Full papers in these proceedings include: (1) Determining Factors of Students' Perceived Usefulness of e-Learning in Higher Education (Aleksander Aristovnik, Damijana Keržic, Nina Tomaževic and Lan Umek); (2) EvalCOMIX®: A Web-Based Programme to Support Collaboration in Assessment (María Soledad Ibarra-Sáiz and Gregorio Rodríguez-Gómez); (3) A Holistic Approach to Scoring in Complex Mobile Learning Scenarios (Marcel Gebbe, Matthias Teine and Marc Beutner); (4) Content Development for 72,000 Learners: An Online Learning Environment for General Practitioners. A Case Study (Dirk Pilat); (5) First Stages of Adult Students' Relationship to Scientific Knowing and Research in the Open University's Web-Based Methodology Course (Leena Isosomppi and Minna Maunula); (6) A Quantitative Analysis of the Role of Social Networks in Educational Contexts (Azam Shokri and Georgios Dafoulas); (7) Care Management: On Line-Based Approaches to Nurse Education in Ultrasound Imaging (Elena Taina Avramescu, Mitrache Marius and Adrian Camen); (8) Can e-Learning Change Work Practices? (Signe Schack Noesgaard); (9) A Practice of Mobile Learning Bases on Cloud Computing (Heng Wu and Zhong Dong); (10) Guidelines for Conducting a Post-Graduate Module within a Blended Synchonous Learning Environment, Facilitator and Student Perspectives (Christopher Upfold); (11) IT Tools in Initial Teacher Training (Dorin Herlo); (12) Application of a Reference Framework for Integration of Web Resources in DOLTRN--Case Study of Physics--Topic: Waves (Fabinton Sotelo Gomez and Armando Ordóñez); (13) Creating Micro-Videos to Demonstrate Technology Learning (Mark Frydenberg and Diana Andone); (14) An Analysis of Students Enrolled to an Undergraduate University Course Offered Also Online (Nello Scarabottolo); (15) How Do We Know What is Happening Online: A Triangulated Approach to Data Analysis (Marina Charalampidi and Michael Hammond); (16) Analysis of 3D Modeling Software Usage Patterns for K-12 Students (Yi-Chieh Wu, Wen-Hung Liao, Ming-Te Chi and Tsai-Yen Li); and (17) A Distributed Intelligent e-Learning System (Terje Kristensen). Short papers in these proceedings include: (1) Using Cognitive Maps to Promote Self-Managed Learning in Online Communities of Inquiry (Susi Peacock and John Cowan); (2) Automation in Distance Learning: An Empirical Study of Unlearning and Academic Identity Change Linked to Automation of Student Messaging within Distance Learning (Hilary Collins, Hayley Glover, Fran Myers and Mor Watson); (3) Developing the 1st MOOC of University of Porto: Challenges and Strategies (Isabel Martins, Nuno Regadas and Margarida Amaral); (4) Informal Language Learning in Authentic Setting, Using Mobile Devices and SNS (Ruthi Aladjem and Bibiana Jou); (5) Enhancing Third-Year Medical Clerkships: Using Mobile Technology for Teaching and Learning (Janette R. Hill, Michelle A. Nuss, Ronald M. Cervero, Julie K. Gaines and Bruce Middendorf); (6) Statistical Measures of Integrity in Online Testing: Empirical Study (Tom Wielicki); (7) The Complexities of Digital Storytelling: Factors Affecting Performance, Production, and Project Completion (Peter Gobel and Makimi Kano); (8) Collegewide Promotion on e-Learning/Active Learning and Faculty Development (Nobuyuki Ogawa and Akira Shimizu); (9) Training Portuguese Teachers Using Blended Learning--A Different Approach (Bertil P. Marques and Paula Escudeiro); (10) Gamify and Recognize Prior Learning: How to Succeed in Educators' Further Professional Training with Open Badges (Esko Lius); (11) How Do K-12 Students' Manage Applications on Their Mobile Devices? (Ruthi Aladjem and Sharon Hardof); (12) Digital Storytelling for Inclusive Education: An Experience in Initial Teacher Training (Marco Lazzari); and (13) Learning Factory--Assembling Learning Content with a Framework (Peter Steininger). Reflection papers in these proceedings include: (1) Equalizing Educational Opportunities by ICT (Ana María Delgado García and Blanca Torrubia Chalmeta); (2) The Acceptability of MOOC Certificates in the Workplace (Christina Banks and Edward Meinert); (3) Orchestration of Social Modes in e-Learning (Armin Weinberger and Pantelis M. Papadopoulos); (4) Information Competencies and Their Implementation in the Educational Process of Polish Universities. Exploratory Studies (Anna Tonakiewicz-Kolosowska, Iwona Socik and Monika Gajewska); (5) Virtual & Real Face to Face Teaching (Romeo Teneqexhi and Loreta Kuneshka); and (6) Virtual Scaffolding--Constructivism in Online Learning (Lachlan MacKinnon and Liz Bacon). The following poster is included: Active Learning Methods in Programming for Non-IT Students (Olga Mironova, Irina Amitan, Jüri Vilipõld and Merike Saar). An author index is included. Individual papers contain references.

Published
2016

50. Automated Search for Logistic Knowledge Tracing Models

Author

Pavlik, Philip I. and Eglington, Luke G.

Abstract

This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for the regression-based models (e.g., stepwise selection or LASSO), we are unaware of their application to student modeling. Such automatic methods of model creation offer the possibility of better student models with either reduced complexity or better fit, in addition to relieving experts from the burden of searching for better models by hand with possible human error. Our new functions are now part of the preexisting R package LKT. We explain our search methods with two datasets demonstrating the advantages of using the tool with stepwise regression and regularization (LASSO) methods to aid in feature selection. For the stepwise method using BIC, the models are simpler (due to the BIC penalty for parameters) than alternatives like BestLR with little lack of fit. For the LASSO method, the models can be made simpler due to the fitting procedure involving a regularization parameter that penalizes large absolute coefficient values. However, LASSO also offers the possibility of highly complex models with exceptional fit. [For the complete proceedings, see ED630829.]

Published
2023