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Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Muurlink, Olav; Gould, Anthony M.; Joullié, Jean-Etienne – Sociological Methods & Research, 2023
Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff's faces. It resurrects and…
Descriptors: Visual Aids, Visualization, Data Analysis, Research Methodology
Lemay, David John; Basnet, Ram B.; Doleck, Tenzin – Education and Information Technologies, 2022
Open-source software movement presents a viable alternative to commercial operating systems. Linux-based operating systems are freely available and a competitive option for computer users who want full control of their computer software. Thus, it is relevant to inquire on how the open-source movement might influence user technology switching…
Descriptors: Open Source Technology, Computer Software, Intention, Influences
Morreale, Fabio – Teachers and Curriculum, 2022
In the creative sector, "music technology" refers to a wide range of musical practices, tools and devices enabled or facilitated by computers. Yet the music technology curriculum in New Zealand, as in other parts of the world, is dominated by two specific tools: commercial Digital Audio Workstations (DAWs) and notation software. In this…
Descriptors: Educational Change, Music Education, Educational Technology, Foreign Countries
Ainhoa Alvarez; Mikel Villamañe – Interactive Learning Environments, 2024
Assessment is a key element in any course, and providing students with a balance between formative and summative assessments is crucial. Defining such a process is a complex task for teachers and often entails a great workload. This makes it necessary to have tools to help in the assessment process definition and its monitoring. This paper first…
Descriptors: Open Source Technology, Learning Management Systems, Student Evaluation, College Students
Jonathan E. Westfall; Evan M. Hill – Teaching of Psychology, 2024
Introduction: Recruiting undergraduate students to participate in research has long been an established practice within psychology. Although this data source has weaknesses, this involvement in the research process has considerable pedagogical value in teaching students research methodology. Statement of the Problem: Most common software packages…
Descriptors: Computer Software, Researchers, Recruitment, Research Administration
Bulut, Okan; Yildirim-Erbasli, Seyma Nur – International Journal of Assessment Tools in Education, 2022
Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…
Descriptors: Reading Comprehension, Natural Language Processing, Artificial Intelligence, Automation
JonathanP. Antle; Jerry T. Godbout; Scott Simpson – Journal of Chemical Education, 2022
Students in an upper-level physical chemistry course utilized an open-sourced statistical software package to construct models fitted to experimental pressure-volume data. In the first part of the experiment, students familiarize themselves with model fitting. In the second part of the experiment, students determine which truncated version of the…
Descriptors: Chemistry, Science Instruction, Models, Goodness of Fit
Enze Chen; Mark Asta – Journal of Chemical Education, 2022
With the growing desire to incorporate data science and informatics into STEM curricula, there is an opportunity to integrate research-based software and tools (e.g., Python) within existing pedagogical methods to craft new, accessible learning experiences. We show how the open-source Jupyter Book software can achieve this goal by creating a…
Descriptors: Programming, Open Source Technology, STEM Education, Textbooks
Heather Kleider-Offutt; Beth Stevens; Laura Mickes; Stewart Boogert – Cognitive Research: Principles and Implications, 2024
Artificial intelligence is already all around us, and its usage will only increase. Knowing its capabilities is critical. A facial recognition system (FRS) is a tool for law enforcement during suspect searches and when presenting photos to eyewitnesses for identification. However, there are no comparisons between eyewitness and FRS accuracy using…
Descriptors: Artificial Intelligence, Race, Recognition (Psychology), Video Technology
Ludmila Walaszczyk; Sylvester Arnab – Electronic Journal of e-Learning, 2025
In the current educational environment, e-learning and online education have gained significant prominence, especially highlighted during the COVID-19 pandemic when their importance increased dramatically. Empirical evidence highlights the undeniable benefits of online learning, with learners globally appreciating the flexibility to access course…
Descriptors: Open Source Technology, Gamification, Usability, Electronic Learning
Hortsch, Michael – Anatomical Sciences Education, 2023
With anatomical education becoming a global endeavor, free online resources offered via the Internet or other electronic venues are of increasing importance for teaching and learning communities worldwide. Students and instructors from developing countries, often limited in access to modern instructional resources by infrastructural and financial…
Descriptors: Anatomy, Web Sites, Open Source Technology, Internet
Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
Papadimitropoulou, Katerina; Riley, Richard D.; Dekkers, Olaf M.; Stijnen, Theo; le Cessie, Saskia – Research Synthesis Methods, 2022
Meta-analysis is a widely used methodology to combine evidence from different sources examining a common research phenomenon, to obtain a quantitative summary of the studied phenomenon. In the medical field, multiple studies investigate the effectiveness of new treatments and meta-analysis is largely performed to generate the summary (average)…
Descriptors: Effect Size, Meta Analysis, Evidence, Medicine
Maksim V. Yakovlev; Eduard S. Gareev; Emil R. Burangulov – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
In this study, we defined and critically analyzed the commercial use of online resources and e-learning technologies via systemic, neo-institutional, comparative analysis. These resources and technologies include the following: multifunctional e-learning platforms (University Without Borders, Moodle, iSpring), online tools (Kahoot, Buncee,…
Descriptors: Distance Education, Knowledge Economy, Electronic Learning, Access to Information

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