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Fabiano Fruett; Fernanda Pereira Barbosa; Samuel Cardoso Zampolli Fraga; Pedro Ivo Aragao Guimaraes – IEEE Transactions on Education, 2024
Open-source hardware and software platforms have played an important role in democratizing access to technology and education in computer science and engineering. Recent advancements in tools, such as KiCad, MicroPython, and Thonny, integrated development environment potentially accelerate low-budget educational applications, providing a smooth…
Descriptors: Open Source Technology, STEM Education, Art Education, Artificial Intelligence
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
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
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
Bogdan Nicula; Mihai Dascalu; Tracy Arner; Renu Balyan; Danielle S. McNamara – Grantee Submission, 2023
Text comprehension is an essential skill in today's information-rich world, and self-explanation practice helps students improve their understanding of complex texts. This study was centered on leveraging open-source Large Language Models (LLMs), specifically FLAN-T5, to automatically assess the comprehension strategies employed by readers while…
Descriptors: Reading Comprehension, Language Processing, Models, STEM Education

Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
Connor David Nelson – ProQuest LLC, 2024
This dissertation introduces a comprehensive framework aimed at reshaping applied cybersecurity education to significantly ease the learning curve, at scale, through three synergistic innovations. These methods address the daunting educational barriers in cybersecurity, enabling learners at all levels to understand complex security concepts more…
Descriptors: Computer Security, Information Security, Computer Science Education, Models
Yishen Song; Qianta Zhu; Huaibo Wang; Qinhua Zheng – IEEE Transactions on Learning Technologies, 2024
Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…
Descriptors: Scoring, Essays, Writing Evaluation, Computer Software
Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
Manna, Martina – International Journal of Mobile and Blended Learning, 2023
As an emergent technology augmented reality (AR) demonstrated a plethora of advantages in foreign language education, promoting motivation, memorization of contents as well as contextualized learning. However, the majority of teachers are unfamiliar with AR, and their role as designers and facilitators requires further investigation. Moreover,…
Descriptors: Italian, Second Language Learning, Second Language Instruction, Open Source Technology
Zorislav Šojat; Gordana Gredicak Šojat – International Society for Technology, Education, and Science, 2023
The sudden, unexpected breakthrough in the intelligence shown by machines, as a wished for, but very disruptive element, will shape the future of our civilisation and Humans as individuals and collectives. The extreme drive towards commercialisation of newest developments already led to an extremely wide spread of Machine Intelligence Assistants…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Morale
Lawrence Angrave; Jiaxi Li; Ninghan Zhong – Grantee Submission, 2022
To efficiently create books and other instructional content from videos and further improve accessibility of our course content we needed to solve the scene detection (SD) problem for engineering educational content. We present the pedagogical applications of extracting video images for the purposes of digital book generation and other shareable…
Descriptors: Instructional Materials, Material Development, Video Technology, Course Content