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Chung Hyewon; Kim, Jung-In; Jung, Eunjin; Park, Soyoung – International Journal of Educational Psychology, 2022
The Program for International Student Assessment (PISA) aims to provide comparative data on 15-year-olds' academic performance and well-being. The purpose of the current study is to explore and compare the variables that predict the reading literacy and life satisfaction of U.S. and South Korean students. The random forest algorithm, which is a…
Descriptors: Comparative Education, Predictor Variables, Literacy, Life Satisfaction
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Bogina, Veronika; Hartman, Alan; Kuflik, Tsvi; Shulner-Tal, Avital – International Journal of Artificial Intelligence in Education, 2022
This paper discusses educating stakeholders of algorithmic systems (systems that apply Artificial Intelligence/Machine learning algorithms) in the areas of algorithmic fairness, accountability, transparency and ethics (FATE). We begin by establishing the need for such education and identifying the intended consumers of educational materials on the…
Descriptors: Educational Technology, Computer Software, Artificial Intelligence, Stakeholders
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Mohamed, Mohamed Zulhilmi bin; Hidayat, Riyan; Suhaizi, Nurain Nabilah binti; Sabri, Norhafiza binti Mat; Mahmud, Muhamad Khairul Hakim bin; Baharuddin, Siti Nurshafikah binti – International Electronic Journal of Mathematics Education, 2022
The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in mathematics teaching and learning for students at all levels of education. A systematic…
Descriptors: Artificial Intelligence, Mathematics Instruction, Meta Analysis, Databases
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Le, Huixiao; Jia, Jiyou – Interactive Technology and Smart Education, 2022
Purpose: In intelligent tutoring systems (ITS), learners were often granted limited authority and are forced to obey the decision of the system which might not satisfy their needs. Failure to grant learners sufficient autonomy could yield unexpected effects that hinder learning, including undermining learners' motivation, priming learners'…
Descriptors: Intelligent Tutoring Systems, Design, Program Implementation, Personal Autonomy
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Al-Hunaiyyan, Ahmed A.; Alhajri, Rana; Alzayed, Asaad; Al-Sharrah, Ahmed – International Journal of Virtual and Personal Learning Environments, 2022
Higher education (HE) in Kuwait suffers from high dropout rates, and one of the leading causes of this desertion is a lack of academic advising. Effective academic advising systems must fulfill its user's needs and provide a positive user experience (UX), which allows users to successfully and effectively fulfill their goals. This study used…
Descriptors: Higher Education, Academic Advising, Student Attitudes, Foreign Countries
Leshinsky, Amy – ProQuest LLC, 2022
The purpose of this research study was to gain insight into the experiences of secondary English asynchronous distance educators using Intelligent Agents (IA), a technology on the Desire to Learn platform (D2L), that allows for course personalization. The need for this study was made evident through an extensive review of the impact of teacher…
Descriptors: Second Language Instruction, English Language Learners, Language Teachers, Technology Uses in Education
The White House, 2022
Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In America and around the world,…
Descriptors: Artificial Intelligence, Algorithms, Privacy, Information Security
Timothy P. Negron – ProQuest LLC, 2022
Classroom management has many challenges, but when the class is held in a computer lab, even more challenges surface. The obstruction of the line-of-sight between the instructor and the students makes it difficult to monitor student behavior, attention, facial expressions or other non-verbal cues. Also, while the computer is a powerful machine,…
Descriptors: Attention, Educational Environment, Computers, Classroom Techniques
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Jamil, Nuraini; Belkacem, Abdelkader Nasreddine; Lakas, Abderrahmane – Education and Information Technologies, 2023
The COVID-19 pandemic has interrupted education institutions in over 150 nations, affecting billions of students. Many governments have forced a transition in higher education from in-person to remote learning. After this abrupt, worldwide transition away from the classroom, some question whether online education will continue to grow in…
Descriptors: Cognitive Ability, Video Technology, Eye Movements, COVID-19
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Saito, Kazuya; Macmillan, Konstantinos; Kachlicka, Magdalena; Kunihara, Takuya; Minematsu, Nobuaki – Studies in Second Language Acquisition, 2023
Whereas many scholars have emphasized the relative importance of "comprehensibility" as an ecologically valid goal for L2 speech training, testing, and development, eliciting listeners' judgments is time-consuming. Following calls for research on more efficient L2 speech rating methods in applied linguistics, and growing attention toward…
Descriptors: Second Language Learning, Second Language Instruction, Interrater Reliability, Speech Communication
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Bajracharya, Biju; Khan, Mohammad Shoeb – Information Systems Education Journal, 2023
The Autonomous Vehicles (AV) are a self-driving vehicle capable of sensing its environment and operating with minimal or no human intervention converting into a fully or partially automated vehicle. These automated vehicles have great potential to revolutionize the automotive industry and our daily lives. Thus, they are receiving a lot of…
Descriptors: Motor Vehicles, Interdisciplinary Approach, Computer Science Education, Artificial Intelligence
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Byrd, Antonio – Composition Studies, 2023
The concept 'literacy crisis' has framed ChatGPT's popularity, its rapid evolution, and its seemingly sophisticated language and knowledge performance. The concept helps scholars and teachers easily enter conversations about artificial intelligence (AI) text generation technologies and how they transform the notions of authorship, research, labor,…
Descriptors: Artificial Intelligence, Technological Advancement, Computational Linguistics, Computer Software
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Liu, Pei-Lin; Chen, Chiu-Jung – Educational Technology & Society, 2023
This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…
Descriptors: Translation, Artificial Intelligence, Computational Linguistics, Computer Software
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Kortemeyer, Gerd – Physical Review Physics Education Research, 2023
Massive pretrained language models have garnered attention and controversy due to their ability to generate humanlike responses: Attention due to their frequent indistinguishability from human-generated phraseology and narratives and controversy due to the fact that their convincingly presented arguments and facts are frequently simply false. Just…
Descriptors: Artificial Intelligence, Physics, Science Instruction, Introductory Courses
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