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52. Checkbox Grading of Handwritten Mathematics Exams with Multiple Assessors: How Do Students React to the Resulting Atomic Feedback? A Mixed-Method Study

Author

Filip Moons, Paola Iannone, and Ellen Vandervieren

Abstract

Handwritten tasks are better suited than digital ones to assess higher-order mathematics skills, as students can express themselves more freely. However, maintaining reliability and providing feedback can be challenging when assessing high-stakes, handwritten mathematics exams involving multiple assessors. This paper discusses a new semi-automated grading approach called 'checkbox grading'. Checkbox grading gives each assessor a list of checkboxes consisting of feedback items for each task. The assessor then ticks those feedback items which apply to the student's solution. Dependencies between the checkboxes can be set to ensure all assessors take the same route on the grading scheme. The system then automatically calculates the grade and provides atomic feedback to the student, giving a detailed insight into what went wrong and how the grade was obtained. Atomic feedback consists of a set of format requirements for mathematical feedback items, which has been shown to increase feedback's reusability. Checkbox grading was tested during the final high school mathematics exam (grade 12) organised by the Flemish Exam Commission, with 60 students and 10 assessors. This paper focuses on students' perceptions of the received checkbox grading feedback and how easily they interpreted it. After the exam was graded, all students were sent an online questionnaire, including their personalised exam feedback. The questionnaire was filled in by 36 students, and 4 of them participated in semi-structured interviews. Findings suggest that students could interpret the feedback from checkbox grading well, with no correlation between students' exam scores and feedback understanding. Therefore, we suggest that checkbox grading is an effective way to provide feedback, also for students with shaky subject matter knowledge.

Published
2024
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53. 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

55. An Artificial Intelligence Based Sourcing Automation Concept for Smaller and Mid-Sized Enterprises in the Metal Industry

Author

Dolle, Nicolas, Wilhelm, Christian, Wergunow, Alexej, Rössle, Manfred, Fernandes, Marc, Glißmann, Lutz, 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
2021
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56. 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

57. Using Graph-Based Heuristics to Analyze a Systematic Literature Review and Validate an Expert-Based Taxonomy

Author

Nadine Schlomske-Bodenstein, Bernhard Standl, and Pablo Pirnay-Dummer

Abstract

The study presented in this paper uses heuristics from computer linguistics and graph theory to analyze a systematic literature review on educational technology. A literature review was conducted to validate an expert-based taxonomy which was developed to ontologize delivered teaching and learning for easy reuse. The sample includes N = 121 publications. The findings indicate that the yielded key words that were generated through T-MITOCAR Artemis contained key features that were rated as being relevant to the experts and caused the expert-based taxonomy to be changed and restructured. The results of this study provide directions on how time-consuming elements of systematic literature reviews could partially be automated. [For the full proceedings, see ED636095.]

Published
2023

58. A Situation Awareness Perspective on Human-Agent Collaboration: Tensions and Opportunities

Author

Jiang, Jinglu, Karran, Alexander J., Coursaris, Constantinos K., Léger, Pierre-Majorique, Beringer, Joerg, 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, Stephanidis, Constantine, editor, Kurosu, Masaaki, editor, Chen, Jessie Y. C., editor, Fragomeni, Gino, editor, Streitz, Norbert, editor, Konomi, Shin'ichi, editor, Degen, Helmut, editor, and Ntoa, Stavroula, editor

Published
2021
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59. Ethics and Regulation of Artificial Intelligence

Author

Wong, Anthony, 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, Kayalica, M. Özgür, editor, and Owoc, Mieczyslaw Lech, editor

Published
2021
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60. Assistance Needs in Production Environments: A Contextual Exploration of Workers’ Experiences and Work Practices

Author

Meneweger, Thomas, Fuchsberger, Verena, Gerdenitsch, Cornelia, Egger-Lampl, Sebastian, Tscheligi, Manfred, 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, and Ratchev, Svetan, editor

Published
2021
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61. IT-Platform for Algorithm-Based Automation of Academic Study Program Development

Author

Dolle, Nicolas, Rössle, Manfred, Kabashkin, Igor, Kitzmann, Harald, 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
2021
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62. Development of Smart Home Door Lock System

Author

Ahmad Taslim, Hazeem, Md Lazam, Nor Azlinah, Mohd Yahya, Nor Akmar, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Mat Jizat, Jessnor Arif, editor, Khairuddin, Ismail Mohd, editor, Mohd Razman, Mohd Azraai, editor, Ab. Nasir, Ahmad Fakhri, editor, Abdul Karim, Mohamad Shaiful, editor, Jaafar, Abdul Aziz, editor, Hong, Lim Wei, editor, Abdul Majeed, Anwar P. P., editor, Liu, Pengcheng, editor, Myung, Hyun, editor, Choi, Han-Lim, editor, and Susto, Gian-Antonio, editor

Published
2021
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63. Virtualization and Automation for Cybersecurity Training and Experimentation

Author

Bica, Ion, Unc, Roxana Larisa, Țurcanu, Ștefan, 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, Maimut, Diana, editor, Oprina, Andrei-George, editor, and Sauveron, Damien, editor

Published
2021
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64. Application of the program for artificial intelligence analytics of paper text and segmentation by specified parameters in clinical practice

Author

A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak, E. V. Bazaeva, D. N. Samochatov, E. V. Koshkina, Е. V. Bushueva, and O. M. Drapkina

Subjects
ai, machine learning, deep learning, data processing, automation, healthcare, medicine, rupatient, electronic health record, optical character recognition, natural language processing, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

The development of novel technologies using elements of artificial intelligence (AI) in medicine is addressed to practical clinical implementation and provision of key issues, including improvement in the use of routine clinical data, aimed at practical relevance, standardization, confidentiality and patient safety.Aim. To evaluate the effectiveness of the RuPatient electronic heart record (EHR) system in real clinical practice for extracting and structuring medical data.Material and methods. Extraction and recognition of data using EHR from various following sources: outpatient records, statements, routine medical reports, epicrisis and other structured and unstructured medical information based on the developed technology of intelligent text analytics, optical character recognition, for specified words and phrases, and the use of machine learning elements. A particular criterion for evaluating the effectiveness of EHR is the time spent on filling out electronic medical records compared to real clinical practice.Results. The time of entering and processing information by the recognition system of medical documentation included in the RuPatient EHR was shorter than in standard practice (20,3±1,4 minutes, 25,1±1,5 minutes, respectively, p

Published
2023
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65. Automation Surprises in Transportation: A Systematic Literature Review

Author

Tillinghast, Daniel J., 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, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Stephanidis, Constantine, editor, Duffy, Vincent G., editor, Krömker, Heidi, editor, Fui-Hoon Nah, Fiona, editor, Siau, Keng, editor, Salvendy, Gavriel, editor, and Wei, June, editor

Published
2021
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66. Automation in Healthcare Systematic Review

Author

Ruiz, Raquel L., 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, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Stephanidis, Constantine, editor, Duffy, Vincent G., editor, Krömker, Heidi, editor, Fui-Hoon Nah, Fiona, editor, Siau, Keng, editor, Salvendy, Gavriel, editor, and Wei, June, editor

Published
2021
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67. Trust and Automation: A Systematic Review and Bibliometric Analysis

Author

Zhang, Zhengming, Duffy, Vincent G., Tian, Renran, 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, Stephanidis, Constantine, editor, Soares, Marcelo M., editor, Rosenzweig, Elizabeth, editor, Marcus, Aaron, editor, Yamamoto, Sakae, editor, Mori, Hirohiko, editor, Rau, Pei-Luen Patrick, editor, Meiselwitz, Gabriele, editor, Fang, Xiaowen, editor, and Moallem, Abbas, editor

Published
2021
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68. Emerging Applications of Cognitive Ergonomics: A Bibliometric and Content Analysis

Author

Roach, Anne Louise, 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, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Stephanidis, Constantine, editor, Harris, Don, editor, Li, Wen-Chin, editor, Schmorrow, Dylan D., editor, Fidopiastis, Cali M., editor, Antona, Margherita, editor, Gao, Qin, editor, Zhou, Jia, editor, Zaphiris, Panayiotis, editor, Ioannou, Andri, editor, Sottilare, Robert A., editor, Schwarz, Jessica, editor, and Rauterberg, Matthias, editor

Published
2021
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71. Deployment of Contact-Based Ultrasonic Thickness Measurements Using Over-Actuated UAVs

Author

Watson, Robert J., Pierce, S. Gareth, Kamel, Mina, Zhang, Dayi, MacLeod, Charles N., Dobie, Gordon, Bolton, Gary, Dawood, Tariq, Nieto, Juan, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Rizzo, Piervincenzo, editor, and Milazzo, Alberto, editor

Published
2021
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72. Social and Ethical Aspects of Automation

Author

Kent, Mary Doyle, Kopacek, Peter, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, 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
2021
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73. Development and Research of Electromagnetic Installation of Industrial Wastewater Purification from Ferromagnetic Impurities as an Object of Automation

Author

Safonyk, Andrii, Tarhonii, Ivan, Hrytsiuk, Ivanna, Prysiazhniuk, Olena, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Shakhovska, Natalya, editor, and Medykovskyy, Mykola O., editor

Published
2021
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74. Open Source Intelligence Initiating Efficient Investigation and Reliable Web Searching

Author

Tiwari, Shiva, Verma, Ravi, Jaiswal, Janvi, Rai, Bipin Kumar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Gupta, P. K., editor, Tyagi, Vipin, editor, Flusser, Jan, editor, Ören, Tuncer, editor, and Valentino, Gianluca, editor

Published
2020
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75. Innovative Smart Hoisting Assistance

Author

Garg, Anjali, Mehta, Vibhu, Soni, Shubham, Sharma, Ritika, Goyal, Himanshu, Sachdeva, Divyam, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Batra, Usha, editor, Roy, Nihar Ranjan, editor, and Panda, Brajendra, editor

Published
2020
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76. Expanding Tracing Capabilities Using Dynamic Tracing Data

Author

Ziegenhagen, Dennis, Speck, Andreas, Pulvermueller, Elke, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Damiani, Ernesto, editor, Spanoudakis, George, editor, and Maciaszek, Leszek A., editor

Published
2020
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77. Robotics and Automation as a Foundation of the Fourth Industrial Revolution - Industry 4.0

Author

Karabegović, Isak, Turmanidze, Raul, Dašić, Predrag, Chaari, Fakher, Series Editor, Haddar, Mohamed, Series Editor, Kwon, Young W., Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Tonkonogyi, Volodymyr, editor, Trojanowska, Justyna, editor, Oborskyi, Gennadii, editor, Edl, Milan, editor, Kuric, Ivan, editor, Pavlenko, Ivan, editor, and Dasic, Predrag, editor

Published
2020
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78. Beyond the Obvious Multi-Choice Options: Introducing a Toolkit for Distractor Generation Enhanced with NLI Filtering

Author

Andreea Dutulescu, Stefan Ruseti, Denis Iorga, Mihai Dascalu, and Danielle S. McNamara

Abstract

The process of generating challenging and appropriate distractors for multiple-choice questions is a complex and time-consuming task. Existing methods for an automated generation have limitations in proposing challenging distractors, or they fail to effectively filter out incorrect choices that closely resemble the correct answer, share synonymous meanings, or imply the same information. To overcome these challenges, we propose a comprehensive toolkit that integrates various approaches for generating distractors, including leveraging a general knowledge base and employing a T5 LLM. Additionally, we introduce a novel strategy that utilizes natural language inference to increase the accuracy of the generated distractors by removing confusing options. Our models have zero-shot capabilities and achieve good results on the DGen dataset; moreover, the models were fine-tuned and outperformed state-of-the-art methods on the considered dataset. To further extend the analysis, we introduce human annotations with scores for 100 test questions with 1085 distractors in total. The evaluations indicated that our generated options are of high quality, surpass all previous automated methods, and are on par with the ground truth of human-defined alternatives. [This paper was published in: "AIED 2024, LNAI 14830," edited by A. M. Olney et al., Springer Nature Switzerland, 2024, pp. 242-50.]

Published
2024
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81. Proposed System for a Socio-Technical Design Framework for Improved User Collaborations with Automation Technologies

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, Abdelnour Nocera, José, editor, Parmaxi, Antigoni, editor, Winckler, Marco, editor, Loizides, Fernando, editor, Ardito, Carmelo, editor, Bhutkar, Ganesh, editor, and Dannenmann, Peter, editor

Published
2020
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82. The EDMM Modeling and Transformation System

Author

Wurster, Michael, Breitenbücher, Uwe, Brogi, Antonio, Falazi, Ghareeb, Harzenetter, Lukas, Leymann, Frank, Soldani, Jacopo, Yussupov, Vladimir, 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, Yangui, Sami, editor, Bouguettaya, Athman, editor, Xue, Xiao, editor, Faci, Noura, editor, Gaaloul, Walid, editor, Yu, Qi, editor, Zhou, Zhangbing, editor, Hernandez, Nathalie, editor, and Nakagawa, Elisa Y., editor

Published
2020
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83. Real-Time IoT-Based Production Planning and Control of Industrial Robots in an Automated Cyber-Physical Production System Under Dynamic Conditions: Lessons Learned from a Make-to-Order Usage Case

Author

Berlak, Joachim, Berg, Julia, Stangl, Michael, Baumgart, Luciano, 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, Moreno-Díaz, Roberto, editor, Pichler, Franz, editor, and Quesada-Arencibia, Alexis, editor

Published
2020
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85. Framework for Collaborative Software Testing Efforts Between Cross-Functional Teams Aiming at High Quality End Product

Author

Mahanta, Prabal, Bischoff, Georg, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Debruyne, Christophe, editor, Panetto, Hervé, editor, Guédria, Wided, editor, Bollen, Peter, editor, Ciuciu, Ioana, editor, and Meersman, Robert, editor

Published
2019
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86. A Proposal for Combining Project Based Learning and Lean Six Sigma to Teach Robotic Process Automation Development and Enhance Systems Integration

Author

Money, William H. and Mew, Lionel Q.

Abstract

This paper proposes a Project-based team instruction methodology with open-ended projects to teach students critical analysis, design and implementation steps of developing Robotic Process Automation (RPA) for information systems. The use of project-based learning is appropriate for teaching RPA analysis and design with lean Six Sigma tools because of its experimental approach and documentation of logical steps needed to learn how to implement RPA successfully. The approach systematically documents work currently performed and defines future actions of the process while ensuring significant benefits are achieved with the RPA enhanced process. This methodology is important because the application of RPA is not commonly taught in Management Information System (MIS) programs. MIS students may not understand the significance of combined methodology, RPA tool, and usefulness of RPA until they enter the workforce where RPA is rapidly becoming available and easier to implement. The lecture sessions and exercises are valuable because it is easy to communicate the value of RPA in terms of time, quality, volume of transactions, etc. using Lean Six Sigma analytic approaches. The exercises involve hands on activities to make this learning experience interesting for students to readily associate the theoretical process improvement agreement and visualize the practical value of RPA enhanced projects. The paper discusses the need for process changes (and new development approaches) in organization to match the properties and functions within enterprise systems and ERPs that has led to criticism of the enterprise systems. This criticism is attributable to the ERPs' many subfunctions and operations that have limited adaptability and reduced functional and operational flexibility. The RPAs require limited prior knowledge of ERPs or their sub-processes for the improvements that are made in the performance of the organization. Thus, students do not have to "learn" how these enterprise or ERP systems operate to make changes or task improvements. This paper presents a project-based methodology and design approach focusing on development of RPAs that help students learning how to make the improvements using the RPS tools. The students learn that projects can deliver significant and tangible benefits to organizations while engaging students in key activities of the analysis, design and development process from a low code-no code perspective.

Published
2023

88. Smart Automated Rubber Mixer System Implemented by Internet of Things for Tire Manufacturing

Author

Jhu, Yu-Chen, Lin, Chien-Chou, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chang, Chuan-Yu, editor, Lin, Chien-Chou, editor, and Lin, Horng-Horng, editor

Published
2019
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90. Mental Workload in the Explanation of Automation Effects on ATC Performance

Author

Cañas, José Juan, Ferreira, Pedro, de Frutos, Patricia López, Puntero, Eva, López, Elena, Gómez-Comendador, Fernando, de Crescenzio, Francesca, Lucchi, Francesca, Netjasov, Fedja, Mirkovic, Bojana, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Longo, Luca, editor, and Leva, M. Chiara, editor

Published
2019
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91. Aerospace Assembly Gap Measurement Using Low Cost Smart Tools with Machine Vision

Author

Crossley, Richard, Ratchev, Svetan, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, and Ratchev, Svetan, editor

Published
2019
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92. Using Deep Learning for Automated Communication Pattern Characterization: Little Steps and Big Challenges

Author

Roth, Philip C., Huck, Kevin, Gopalakrishnan, Ganesh, Wolf, Felix, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bhatele, Abhinav, editor, Boehme, David, editor, Levine, Joshua A., editor, Malony, Allen D., editor, and Schulz, Martin, editor

Published
2019
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93. Industry 4.0 Testbed at Brno University of Technology

Author

Zalud, Ludek, Burian, Frantisek, Kalvodova, Petra, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, and Mazal, Jan, editor

Published
2019
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94. Automatic quality assessment of knee radiographs using knowledge graphs and convolutional neural networks.

Author

Wang Q, Han X, Song L, Zhang X, Zhang B, Gu Z, Jiang B, Li C, Li X, and Yu Y

Subjects
Humans, Radiography methods, Neural Networks, Computer, Knee diagnostic imaging, Automation, Image Processing, Computer-Assisted methods, Quality Control
Abstract

Background: X-ray radiography is a widely used imaging technique worldwide, and its image quality directly affects diagnostic accuracy. Therefore, X-ray image quality control (QC) is essential. However, subjectively assessing image quality is inefficient and inconsistent, especially when large amounts of image data are being evaluated. Thus, subjective assessment cannot meet current QC needs., Purpose: To meet current QC needs and improve the efficiency of image quality assessment, a complete set of quality assessment criteria must be established and implemented using artificial intelligence (AI) technology. Therefore, we proposed a multi-criteria AI system for automatically assessing the image quality of knee radiographs., Methods: A knee radiograph QC knowledge graph containing 16 "acquisition technique" labels representing 16 image quality defects and five "clarity" labels representing five grades of clarity were developed. Ten radiographic technologists conducted three rounds of QC based on this graph. The single-person QC results were denoted as QC1 and QC2, and the multi-person QC results were denoted as QC3. Each technologist labeled each image only once. The ResNet model structure was then used to simultaneously perform classification (detection of image quality defects) and regression (output of a clarity score) tasks to construct an image QC system. The QC3 results, comprising 4324 anteroposterior and lateral knee radiographs, were used for model training (70% of the images), validation (10%), and testing (20%). The 865 test set data were used to evaluate the effectiveness of the AI model, and an AI QC result, QC4, was automatically generated by the model after training. Finally, using a double-blind method, the senior QC expert reviewed the final QC results of the test set with reference to the results QC3 and QC4 and used them as a reference standard to evaluate the performance of the model. The precision and mean absolute error (MAE) were used to evaluate the quality of all the labels in relation to the reference standard., Results: For the 16 "acquisition technique" features, QC4 exhibited the highest weighted average precision (98.42% ± 0.81%), followed by QC3 (91.39% ± 1.35%), QC2 (87.84% ± 1.68%), and QC1 (87.35% ± 1.71%). For the image clarity features, the MAEs between QC1, QC2, QC3, and QC4 and the reference standard were 0.508 ± 0.021, 0.475 ± 0.019, 0.237 ± 0.016, and 0.303 ± 0.018, respectively., Conclusions: The experimental results show that our automated quality assessment system performed well in classifying the acquisition technique used for knee radiographs. The image clarity quality evaluation accuracy of the model must be further improved but is generally close to that of radiographic technologists. Intelligent QC methods using knowledge graphs and convolutional neural networks have the potential for clinical applications., (© 2024 American Association of Physicists in Medicine.)

Published
2024
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95. REVIEW PAPER BIOSENSORS FOR EARLY DIAGNOSIS AND AUTOMATED DRUG DELIVERY IN PANCREATIC CANCER.

Author

S., ANAND

Subjects
CANCER diagnosis, DRUG delivery systems, PANCREATIC cancer, MACHINE learning, CANCER prognosis
Abstract

Pancreatic cancer remains one of the most challenging malignancies to diagnose and treat effectively, resulting in poor patient outcomes due to late-stage detection and limited therapeutic options. The emergence of biosensors has revolutionized cancer diagnosis and therapy, providing new avenues for early detection and personalized treatment. This paper explores the development and integration of biosensors within a unique expert system for pancreatic cancer diagnosis and drug delivery automation. It discusses the principles, types, and applications of biosensors in pancreatic cancer diagnosis, their role in automating drug delivery, and the design of an expert system that leverages these technologies to enhance patient outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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96. LLM potentiality and awareness: a position paper from the perspective of trustworthy and responsible AI modeling.

Author

Sarker, Iqbal H.

Subjects
LANGUAGE models, TRUST, ARTIFICIAL intelligence, RISK perception, AWARENESS
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. [ABSTRACT FROM AUTHOR]

Published
2024
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97. A Smart Embedded System Model for the AC Automation with Temperature Prediction

Author

Javed Mehedi Shamrat, F. M., Allayear, Shaikh Muhammad, Alam, Md. Farhad, Jabiullah, Md. Ismail, Ahmed, Razu, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Gupta, P.K., editor, Tyagi, Vipin, editor, Flusser, Jan, editor, Ören, Tuncer, editor, and Kashyap, Rekha, editor

Published
2019
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98. Automated Soil Tester

Author

Kovelan, P., Kartheeswaran, T., Thisenthira, N., Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, K. C., editor, and Hegadi, Ravindra S., editor

Published
2019
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99. Automation of Timing Quality Checks and Optimization

Author

Ketavanya, Dubakula, Darji, Anand D., Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Rajaram, S., editor, Balamurugan, N.B., editor, Gracia Nirmala Rani, D., editor, and Singh, Virendra, editor

Published
2019
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