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20,066 results

1. Indicators of Inclusion in Education: A Framework for Analysis. OECD Education Working Papers. No. 300

Author

Organisation for Economic Cooperation and Development (OECD) (France), Directorate for Education and Skills, Cecilia Mezzanotte, and Claire Calvel

Abstract

Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its holistic nature. Indeed, measuring inclusion implies analysing a variety of policy areas within education systems, while also considering the different roles of the system, the school and the classroom. This paper discusses the application of the input-process-outcome model to the measurement of inclusion in education, and key indicators that can be adopted by education systems and schools to this end. It makes considerations relevant to policy makers when designing indicators to measure inclusion, such as the extent of their application, the constraints related to data disaggregation and the relevance of intersectional approaches to inclusion.

Published
2023
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2. A Bayesian Workflow for the Analysis and Reporting of International Large-Scale Surveys: A Case Study Using the OECD Teaching and Learning International Survey. OECD Education Working Papers No. 291

Author

Organisation for Economic Cooperation and Development (OECD) (France), Directorate for Education and Skills, David Kaplan, and Kjorte Harra

Abstract

This report aims to showcase the value of implementing a Bayesian framework to analyse and report results from international large-scale surveys and provide guidance to users who want to analyse the data using this approach. The motivation for this report stems from the recognition that Bayesian statistical inference is fast becoming a popular methodological framework for the analysis of educational data generally, and large-scale surveys more specifically. The report argues that Bayesian statistical methods can provide a more nuanced analysis of results of policy relevance compared to standard frequentist approaches commonly found in large-scale survey reports. The data utilised for this report comes from the OECD Teaching and Learning International Survey (TALIS). The report provides steps in implementing a Bayesian analysis and proposes a workflow that can be applied not only to TALIS but to large-scale surveys in general. The report closes with discussion of other Bayesian approaches to international large-scale survey data, in particularly for predictive modelling.

Published
2023
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3. Capturing and Characterizing Teachers' Noticing as Basis for Their Classroom Management in Different Career Stages: A Data Paper

Author

van Driel, Sharisse, Jarodzka, Halszka, Crasborn, Frank, van Strien, Johan, and Brand-Gruwel, Saskia

Abstract

Although various academic disciplines use data papers to support effective research practices, data papers are still uncommon in the educational sciences. Main goals of data papers are enhancing transparency regarding research processes and supporting data sharing among researchers and thus, open science. As many educational research projects include personal data often of minors, publishing raw data can be challenging due to privacy regulations and laws (GDPR). The present article aims at exploring how a data paper can contribute to open science and enhancing transparency regarding research and publication processes for educational research projects, often containing personal data that cannot be made openly available in its raw form. To this end, we describe a dataset of a research project on teachers' noticing as basis for their classroom management. As this project includes rich process-tracing recording methods, the dataset is diverse and serves as basis for multiple analyses and publications while containing personal data of teachers and minors. By elaborating on the characteristics of the dataset, its gathering, analysis approaches and sharing preprocessed and anonymized data files, this data paper explores how to contribute to transparency and open science in educational sciences while acting within the boundaries set by privacy regulations and laws.

Published
2023
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4. A Color-Coded Graphical Guide to the Hodgkin and Huxley Papers

Author

Hopper, Amy J., Beswick-Jones, Hana, and Brown, Angus M.

Abstract

The five papers published by Hodgkin and Huxley in 1952 are seminal works in the field of physiology, earning their authors the Nobel Prize in 1963 and ushering in the era of membrane biophysics. The papers present a considerable challenge to the novice student, but this has been partly allayed by recent publications that have updated the reporting of current and voltage to reflect the modern convention and two books that describe the contents of the papers in detail. A disadvantage is that these guides contain hundreds of pages, requiring considerable time and energy on behalf of the reader. We present a concise guide to the Hodgkin and Huxley papers that includes only essential content, with the data presented in a linear and logical manner. We have color-coded figures for ease of understanding and included boxes that summarize key information for easy reference. It is our expectation that this article will act as an accessible introduction for students to the work of Hodgkin and Huxley and hopefully foster an appreciation for a fascinating story that repays in-depth study.

Published
2022
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5. Is Educational Research in Aotearoa in Good Shape? An NZCER Occasional Paper

Author

New Zealand Council for Educational Research (NZCER) and Wylie, Cathy

Abstract

It is timely to take stock of the wellbeing of educational research in Aotearoa New Zealand. The major Education Work Programme 2021 includes a Research, Evaluation and Development Strategy. Te Ara Paerangi--Future Pathways Green Paper has launched a major review of the design of public funding for research institutions and for research taking place in tertiary and other education institutions. This paper canvasses the recent history and current landscape of educational research funding and support in Aotearoa New Zealand. It draws on the author's extensive experience in this field, and the need to test the author's growing unease that educational research in this country is, overall, not in good shape.

Published
2022

7. Digitization of Forensic Engineering: Overview, Perspectives and New Challenges

Author

Finocchiaro, Regina, Amelio, Alessia, Biondi, Samuele, 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, Bourbakis, Nikolaos, editor, Tsihrintzis, George A., editor, Virvou, Maria, editor, and Jain, Lakhmi C., editor

Published
2024
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9. The Road to Reducing Vehicle CO2 Emissions: A Comprehensive Data Analysis

Author

Madhurima, S., Mannooparambil, Joseph Mathew, Kumar, Kukatlapalli Pradeep, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Aurelia, Sagaya, editor, J., Chandra, editor, Immanuel, Ashok, editor, Mani, Joseph, editor, and Padmanabha, Vijaya, editor

Published
2024
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10. Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach

Author

Joshi, Tanmay, Hegadi, Ravindra, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, KC, editor, Makkar, Aaisha, editor, Conway, Myra, editor, Singh, Ashutosh K., editor, Vacavant, Antoine, editor, Abou el Kalam, Anas, editor, Bouguelia, Mohamed-Rafik, editor, and Hegadi, Ravindra, editor

Published
2024
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11. Educating on spatial skills using a paper-folding-and-punched-hole videogame: gameplay data analysis.

Author

Garcia-Segarra, Pablo, Santamarta, Vicent, and Falomir, Zoe

Subjects
PAPER arts, DATA analysis, SPATIAL ability
Abstract

Introduction: Paper folding and punched hole tests are used to measure spatial abilities in humans. These abilities are relevant since they are associated with success in STEM (Science, Technology, Engineering, and Mathematics). This study addresses the challenge of teaching spatial reasoning skills using an educational videogame, the Paper Folding Reasoning Game. Methods: The Paper Folding Reasoning Game is an interactive game which presents activities intended to help users train and understand how to fold a paper to get a specific shape (Part I) and the consequence of punching a hole on a folded paper (Part II). This educational videogame can automatically generate paper-folding-and-punched-hole questions with varying degrees of difficulty depending on the number of folds and holes made, thus producing additional levels for training due to its embedded reasoning mechanisms (Part III). Results: This manuscript presents the results of analyzing the gameplay data gathered by the Paper Folding Reasoning Game in its three parts. For Parts I and II, the data provided by 225 anonymous unique players are analyzed. For Part III (Mastermode), the data obtained from 894 gameplays by 311 anonymous unique players are analyzed. In our analysis, we found out a significant difference in performance regarding the players who trained (i.e., played Parts I and II) before playing the Mastermode (Part III) vs. the group of players who did not train. We also found a significant difference in players' performance who used the visual help (i.e., re-watch the animated sequence of paper folds) vs. the group of players who did not use it, confirming the effectiveness of the Paper Folding Reasoning Game to train paper-folding-and-punched-hole reasoning skills. Statistically significant gender differences in performance were also found. [ABSTRACT FROM AUTHOR]

Published
2024
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12. CONTINGENT: Advanced Solution to Enhance Cyber Resilience Through Machine Learning Techniques

Author

Pérez Carrasco, Francisco, García García, Alberto, Garrido Peñalver, Victor, Company Peris, Rafael, Gimenez Salazar, Pablo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Botto-Tobar, Miguel, editor, Zambrano Vizuete, Marcelo, editor, Montes León, Sergio, editor, Torres-Carrión, Pablo, editor, and Durakovic, Benjamin, editor

Published
2024
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13. Towards Road Profiling with Cooperative Intelligent Transport Systems

Author

Benzagouta, Mohamed-Lamine, Bourdy, Emilien, Aniss, Hasnaa, Fouchal, Hacène, El Faouzi, Nour-Eddin, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Renault, Éric, editor, Boumerdassi, Selma, editor, and Mühlethaler, Paul, editor

Published
2024
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14. Machine Learning and Data Mining

Author

Kurasov, Dmitry A., Kutuzov, Anton S., Zvonarev, Dmitry S., Devyatkov, Anton P., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, and Gibadullin, Arthur, editor

Published
2024
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15. On the Automated Text Report Generation in Open Transport Data Analysis Platform

Author

Bulygin, Mark, Namiot, Dmitry, 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, Vishnevskiy, Vladimir M., editor, Samouylov, Konstantin E., editor, and Kozyrev, Dmitry V., editor

Published
2024
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17. Linking NFT Transaction Events to Identify Privacy Risks

Author

Zelenyanszki, Dorottya, Hóu, Zhé, Biswas, Kamanashis, Muthukkumarasamy, Vallipuram, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Dong, Naipeng, editor, Pillai, Babu, editor, Bai, Guangdong, editor, and Utting, Mark, editor

Published
2024
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18. Optimizing Ride-Sharing Potential in New York City: A Dynamic Algorithm Analysis of Peak and Off-Peak Demand Scenarios

Author

Afsari, Marzieh, Ippolito, Nicola, Mistrice, Lory Michelle Bresciani, Gentile, Guido, 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
2024
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19. Exploring Data Visualization in Mixed Reality Simulations to Measure Teacher Responsiveness

Author

Bondie, Rhonda, Mancenido, Zid, Adams, Happi, Dede, Chris, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bourguet, Marie-Luce, editor, Krüger, Jule M., editor, Pedrosa, Daniela, editor, Dengel, Andreas, editor, Peña-Rios, Anasol, editor, and Richter, Jonathon, editor

Published
2024
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20. Mining and Analysis of Search Interests Related to Online Learning Platforms from Different Countries Since the Beginning of COVID-19

Author

Thakur, Nirmalya, Khanna, Karam, Cui, Shuqi, Azizi, Nazif, Liu, Zihui, 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, Zaphiris, Panayiotis, editor, Ioannou, Andri, editor, Sottilare, Robert A., editor, Schwarz, Jessica, editor, Fui-Hoon Nah, Fiona, editor, Siau, Keng, editor, Wei, June, editor, and Salvendy, Gavriel, editor

Published
2023
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21. Advancing Sustainable Development Through Automation: An Advanced Health Monitoring System for Predicting and Evaluating Individual Well-Being

Author

Khanna, Puneet, Goel, Rahul, Bajaj, Risheek, Anand, Mayank, 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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23. Personalized Movie Recommendation Prediction Using Reinforcement Learning

Author

Bahi, Abderaouf, Gasmi, Ibtissem, Bentrad, Sassi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Abawajy, Jemal, editor, Tavares, João Manuel R.S., editor, Kharb, Latika, editor, Chahal, Deepak, editor, and Nassif, Ali Bou, editor

Published
2023
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24. Monitoring and Forecasting Crop Yields

Author

Makarovskikh, Tatiana, Panyukov, Anatoly, Abotaleb, Mostafa, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sokolinsky, Leonid, editor, and Zymbler, Mikhail, editor

Published
2023
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26. Automatic Concrete Bridge Crack Detection from Strain Measurements: A Preliminary Study

Author

Milani, Rudy, Sahin, Tarik, Danwitz, Max von, Moll, Maximilian, Popp, Alexander, Pickl, Stefan, 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, Hämmerli, Bernhard, editor, Helmbrecht, Udo, editor, Hommel, Wolfgang, editor, Kunczik, Leonhard, editor, and Pickl, Stefan, editor

Published
2023
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28. Smart Clustering of HPC Applications Using Similar Job Detection Methods

Author

Shaikhislamov, Denis, Voevodin, Vadim, 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, Wyrzykowski, Roman, editor, Dongarra, Jack, editor, Deelman, Ewa, editor, and Karczewski, Konrad, editor

Published
2023
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29. Predicting Car Sale Time with Data Analytics and Machine Learning

Author

Ahaggach, Hamid, Abrouk, Lylia, Foufou, Sebti, Lebon, Eric, 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, Noël, Frédéric, editor, Nyffenegger, Felix, editor, Rivest, Louis, editor, and Bouras, Abdelaziz, editor

Published
2023
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30. Analysis of User Diversity-Based Patterns of Public Discourse on Twitter About Mental Health in the Context of Online Learning During COVID-19

Author

Thakur, Nirmalya, Cho, Hazel, Cheng, Haokun, Lee, Hyunji, 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, Mori, Hirohiko, editor, Asahi, Yumi, editor, Coman, Adela, editor, Vasilache, Simona, editor, and Rauterberg, Matthias, editor

Published
2023
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32. A Novel Framework for Harnessing AI for Evidence-Based Policymaking in E-Governance Using Smart Contracts

Author

Upreti, Kamal, Verma, Ankit, Mittal, Shikha, Vats, Prashant, Haque, Mustafizul, Ali, Shakir, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Shaw, Rabindra Nath, editor, Paprzycki, Marcin, editor, and Ghosh, Ankush, editor

Published
2023
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34. The Breach is Dead, Long Live the Breach: A Spatial Temporal Study of Healthcare Data Breaches

Author

Nejjari, Narjisse, Zkik, Karim, Benbrahim, Houda, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mirzazadeh, Abolfazl, editor, Erdebilli, Babek, editor, Babaee Tirkolaee, Erfan, editor, Weber, Gerhard-Wilhelm, editor, and Kar, Arpan Kumar, editor

Published
2023
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35. A Multiple Linear Regression-Based Model for Determining State-Wise Pregnancy Care Status for Urban and Rural Areas

Author

Mehra, Harshita, Mittal, Vriddhi, Vij, Sonakshi, Virmani, Deepali, 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, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish Chand, editor

Published
2023
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36. Application of Artificial Intelligence Techniques for Cancer Data Analysis in Brazil

Author

Tabares-Morales, Santiago, Duque-Méndez, Néstor Darío, Bez, Marta Rosecler, Tabares-Morales, Valentina, de Carvalho, Juliano Varella, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Agredo-Delgado, Vanessa, editor, Ruiz, Pablo H., editor, Ruiz Gaona, Alexandra, editor, Villegas Ramírez, María Lili, editor, and Giraldo Orozco, William Joseph, editor

Published
2023
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37. Solid Development Teams Search Approach

Author

Zhelepov, Alexey, Moiseev, Vladislav, Yarushkina, Nadezhda, Kacprzyk, Janusz, Series Editor, Shahbazova, Shahnaz N., editor, Abbasov, Ali M., editor, Kreinovich, Vladik, editor, and Batyrshin, Ildar Z., editor

Published
2023
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40. Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital 'Betania'

Author

Improta, Giovanni, Bottino, Vincenzo, Morra, Mara, Russo, Mario Alessandro, Nasti, Rodolfo, Triassi, Maria, 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, Wen, Shiping, editor, and Yang, Cihui, editor

Published
2023
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41. Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital 'Betania'

Author

Improta, Giovanni, Bottino, Vincenzo, Sciambra, Antonio, Russo, Mario Alessandro, Stingone, Maria Anna, Triassi, Maria, 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, Wen, Shiping, editor, and Yang, Cihui, editor

Published
2023
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44. Freehand drawing activity: a comparison between tablet-finger vs paper&crayon throughout time.

Author

Paule Ruiz, MPuerto, Sánchez Santillán, Miguel, and Pérez-Pérez, Juan Ramón

Subjects
*MOBILE apps, *MOTOR ability, *PORTABLE computers, *GRAPHIC arts, *PHYSIOLOGICAL adaptation, *DATA analysis, *RESEARCH funding, *DRAWING, *CLINICAL trials, *INTERVIEWING, *DESCRIPTIVE statistics, *CHI-squared test, *CREATIVE ability, *TEACHERS, *ONLINE education, *COLLEGE teacher attitudes, *ANALYSIS of variance, *STATISTICS, *COMPARATIVE studies, *VISUAL perception, *DATA analysis software, *CHILDREN
Abstract

The apps for drawing are present in our children's life. Nevertheless, little is known about the impact of mobile technology on the freehand drawing educational activity. There are few works which are contextualised within short periods of time, with teachers who are not theirs and, in some cases, outside the children's classroom. In this paper, we are focussed on the use of technology on freehand drawing activity. Thus, we have compared the graphics produced by 4- and 5-year-old children with paper&crayon in comparison with those with tablet-finger. Children made the drawings during a planned free-drawing activity, in their ordinary classrooms, with their teachers and during five sessions. Assessment of drawings has evidenced tablet feasibility for making graphics. Nevertheless, with the passing of time, quality of graphics (tablet-finger vs paper&crayons), are nearly matched, demonstrating the low impact level technology has on this activity. In addition, if drawings are analysed specifically according to ages, results have shown that both groups have to develop adaptation strategies of visual perceptual skills and fine motor skills for the touch screen in order to obtain the same quality in the drawings made on both support types. [ABSTRACT FROM AUTHOR]

Published
2024
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45. How to Open Science: Debugging Reproducibility within the Educational Data Mining Conference

Author

Haim, Aaron, Gyurcsan, Robert, Baxter, Chris, Shaw, Stacy T., and Heffernan, Neil T.

Abstract

Despite increased efforts to assess the adoption rates of open science and robustness of reproducibility in sub-disciplines of education technology, there is a lack of understanding of why some research is not reproducible. Prior work has taken the first step toward assessing reproducibility of research, but has assumed certain constraints which hinder its discovery. Thus, the purpose of this study was to replicate previous work on papers within the proceedings of the "International Conference on Educational Data Mining" to accurately report on which papers are reproducible and why. Specifically, we examined 208 papers, attempted to reproduce them, documented reasons for reproducibility failures, and asked authors to provide additional information needed to reproduce their study. Our results showed that out of 12 papers that were potentially reproducible, only one successfully reproduced all analyses, and another two reproduced most of the analyses. The most common failure for reproducibility was failure to mention libraries needed, followed by non-seeded randomness. [For the complete proceedings, see ED630829. Additional funding for this paper was provided by the U.S. Department of Education's Graduate Assistance in Areas of National Need (GAANN).]

Published
2023

46. Integrating Computational Thinking and Data Science: The Case of Modding Classification Games

Author

Marianthi Grizioti and Chronis Kynigos

Abstract

Even though working with data is as important as coding for understanding and dealing with complex problems across multiple fields, it has received very little attention in the context of Computational Thinking. This paper discusses an approach for bridging the gap between Computational Thinking with Data Science by employing and studying classification as a higher-order thinking process that connects the two. To achieve that, we designed and developed an online constructionist gaming tool called SorBET which integrates coding and database design enabling students to interpret, organize, and analyze data through game play and game design. The paper presents and discusses the results of a pilot study that aimed to investigate the data practices secondary students develop through playing and modifying SorBET games, and to determine the impact of game modding on student critical engagement with CT. According to the results, students developed and used certain data practices such as data interpretation and data model design to become better players or to design an interesting classification game. Moreover, game modding process motivated students to question the original games' content, leading them to develop a critical stance towards the game data model and representations.

Published
2024

47. Exploring Complex Biological Processes through Artificial Intelligence

Author

Fatima Rahioui, Mohammed Ali Tahri Jouti, and Mohammed El Ghzaoui

Abstract

Artificial intelligence (AI) is now affecting all aspects of our social lives. Without always knowing it, we interact daily with intelligent systems. They serve us invisibly. At least that is the goal we assign to them: to make our lives better, task by task. Artificial intelligence has the potential to make biology education more engaging, personalized, and effective by providing students with interactive simulations, personalized learning experiences, and other tools that help them understand complex biological concepts. In this paper, we discuss the integration of AI into the virtual classroom, which significantly enhances student learning experiences in various ways. The study shows that an effective integration of technology into the virtual classroom requires a thoughtful approach that aligns with educational goals and the specific needs of students. In fact, interactive simulations can help make biology more engaging and memorable for students. Besides, personalized learning AI algorithms can help biology students receive a more tailored and effective learning experience, helping them to better understand the course material and develop a deeper appreciation for the natural world. In this work, we will discuss the use of AI to enhance interactive simulation-based cellular processes, with additional application in anatomy, physiology, and ecology teaching. Moreover, this paper discusses how AI could be used to analyze student data and propose personalized learning using adaptive assessments, content recommendations, and data sciences. This paper illustrates examples of AI algorithms that could be useful for teaching biology.

Published
2024

48. Working with Sources in the L2 Student Writer's Assemblage: Technology, Texts, and Research

Author

Vasilopoulos, Eugenia

Abstract

This study explores how Deleuzian concepts of assemblage, affect, and rhizome can inform, and transform, our understanding of how technology shapes second language academic writing. More specifically, it focuses on the practice of L2 academic writing as novice writers compose a source-based research paper in an English for Academic Purposes bridging program. The study followed seven student participants over several weeks as they worked on this assignment. Data-collection instruments included ongoing interviews throughout the writing process, document analysis of written drafts, screencast recordings, and researcher diary. Rhizoanalysis was used to analyze the data and map connections between the elements operating in the student writers' assemblage. Vignettes are presented to problematize conventional reading of data and to turn attention to texts in L2 writing research as asignifying machines. Reading participant data differently allows for exploration of the interconnections between the material, affective, and expressive elements and forces in the digital mediated source-based writing process. For these novice L2 student writers, the elements and forces in their assemblage operate in unique and unpredictable ways, producing unforeseen outcomes.

Published
2021
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49. Predicting Patient’s Waiting Times in Emergency Department: A Retrospective Study in the CHIC Hospital Since 2019

Author

Ameur, Nadhem Ben, Lahyani, Imene, Thabet, Rafika, Megdiche, Imen, Steinbach, Jean-christophe, Lamine, Elyes, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Fournier-Viger, Philippe, editor, Hassan, Ahmed, editor, Bellatreche, Ladjel, editor, Awad, Ahmed, editor, Ait Wakrime, Abderrahim, editor, Ouhammou, Yassine, editor, and Ait Sadoune, Idir, editor

Published
2022
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50. A comparison of tablet-based and paper-based venous insufficiency epidemiologic and economic study quality of life/symptom questionnaire for assessment of chronic venous disease.

Author

Albernaz, Luiz Fernando, Albernaz, Daiane Taís Schlindwein, Zignani, Fernanda Rita, Santiago, Fabricio, de Moura, Regina Marcia Faria, Barroso, Gustavo, Reis e Silva, Alexandre, and Chi, Yung-Wei

Subjects
*RESEARCH, *STATISTICS, *SAMPLE size (Statistics), *CHRONIC diseases, *RESEARCH methodology evaluation, *VENOUS insufficiency, *MANN Whitney U Test, *T-test (Statistics), *QUESTIONNAIRES, *QUALITY of life, *DESCRIPTIVE statistics, *MEDICAL practice, *STATISTICAL correlation, *DATA analysis, *DATA analysis software, *LONGITUDINAL method
Abstract

Objective: To comparatively evaluate performances of tablet-based versus paper-based Venous Insufficiency Epidemiologic and Economic Study-Quality of Life/Symptom (VEINES-QOL/Sym) questionnaire. Methods: We prospectively evaluated 78 consecutive patients who completed tablet-based and paper-based VEINES-QOL/Sym questionnaires and compared their scores, completion time, data entry time, and ease of use. We used Student's t-test and Wilcoxon test for quantitative variables, Bland–Altman test and kappa coefficient for agreement between questionnaires and patients, respectively. Spearman's correlation coefficient was used to assess correlations. Results: Most participants (83.3%) found it easier to use the tablet device. Less time was needed to complete the tablet-based (median, 4.75; IQR, 3–7 min) than the paper-based (median, 8.3; IQR, 6.3–11.3 min) questionnaire (p <.001). Better educated patients took less time to complete paper-based (p =.003) and tablet-based (p =.001) questionnaires and considered the latter easier to use (p =.010). Conclusions: The tablet-based VEINES-QOL/Sym proved to be an easy-to-use and time-saving tool. [ABSTRACT FROM AUTHOR]

Published
2024
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