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Connie L. Sanchez – ProQuest LLC, 2024
New Jersey consistently ranks as one of the top-performing states in the country when it comes to education. Most recently, it was ranked third in the nation. A look at the state's standards in any subject shows the state works diligently to vertically align standards while also challenging students in order to better prepare them for the future…
Descriptors: Artificial Intelligence, Social Studies, Technology Uses in Education, Thinking Skills
Marwa Said Mustafa El-Garawany – Language Teaching Research Quarterly, 2024
Some recent studies have reported positive effects of artificial intelligence (AI)-powered writing assistants on students' EFL writing skills, but their impact on affective factors has yet to be examined. Thus, the present study investigated the effects of a QuillBot-based intervention on English Language majors' EFL writing performance,…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Mousavinasab, Elham; Zarifsanaiey, Nahid; R. Niakan Kalhori, Sharareh; Rakhshan, Mahnaz; Keikha, Leila; Ghazi Saeedi, Marjan – Interactive Learning Environments, 2021
With the rapid growth of technology, computer learning has become increasingly integrated with artificial intelligence techniques in order to develop more personalized educational systems. These systems are known as Intelligent Tutoring systems (ITSs). This paper focused on the variant characteristics of ITSs developed across different educational…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Individualized Instruction, Web Based Instruction
Zhang, Qiuxin – English Language Teaching, 2021
With the rapid development of economy and technology, more and more fields are combined with electronic intelligence and artificial intelligence, and language teaching is no exception. As a research hot issue, computer-assisted language learning (CALL) has attracted more and more people's attention. Based on computer-aided technology, teachers can…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Computer Assisted Instruction
Fis Erümit, Semra – Technology, Pedagogy and Education, 2021
The present study is an evaluation of the distance education process along with related activities in primary, secondary and high schools in Turkey during the COVID-19 pandemic. The present qualitative study involved K-12 students who participated in the distance education process. Semi-structured interviews were conducted, and content analysis…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Distance Education
Li, Fengying; He, Yifeng; Xue, Qingshui – Educational Technology & Society, 2021
With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…
Descriptors: Educational Technology, Artificial Intelligence, Student Needs, Individualized Instruction
Jimenez, Laura; Boser, Ulrich – Center for American Progress, 2021
Despite the often-negative discussion about testing in schools, assessments are a necessary and useful tool in the teaching and learning process. This is especially true when it comes to diagnostic and formative assessments, which give teachers real-time direction for what students need to learn to master course content. It is this space where the…
Descriptors: Artificial Intelligence, Test Use, Test Anxiety, Test Construction
Underwood, Joshua – Research-publishing.net, 2021
Voice interaction assistants, such as "Siri," "Alexa," or "Google Assistant," offer new opportunities to create meaningful, fun tasks for language learning that require accurate spoken production. Designing good tasks requires an understanding of the learning context and needs as well as the interactional…
Descriptors: Audio Equipment, Second Language Learning, Second Language Instruction, Student Motivation
Cattell, Lindsay; Bruch, Julie – Regional Educational Laboratory Mid-Atlantic, 2021
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…
Descriptors: At Risk Students, Identification, Artificial Intelligence, Dropout Prevention
Lee, Jeonghyun; Soleimani, Farahnaz; Irish, India; Hosmer, John, IV; Soylu, Meryem Yilmaz; Finkelberg, Roy; Chatterjee, Saurabh – Online Learning, 2022
In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…
Descriptors: Online Courses, Models, Thinking Skills, Computer Mediated Communication
Demszky, Dorottya – ProQuest LLC, 2022
Language is central to education, being the core medium of instruction. Researchers and practitioners have long used manual methods to analyze instructional language like classroom discourse and instructional texts, with the goal of facilitating student-centered instruction. In this dissertation, I offer three studies demonstrating how natural…
Descriptors: Natural Language Processing, Student Centered Learning, Textbook Content, Evaluation Methods
Pelzer, Elena; Turner, Benjamin O. – Communication Teacher, 2022
With the increase in demand for online learning, machine teachers are becoming an important technology in higher education, since they are expected to improve teaching effectiveness and student learning outcomes. However, machine teachers require an aptitude for technology and are associated with high initial costs. Thus, here, we use a more basal…
Descriptors: Electronic Learning, Technology Uses in Education, Interaction, In Person Learning
Ehara, Yo – International Educational Data Mining Society, 2022
Language learners are underserved if there are unlearned meanings of a word that they think they have already learned. For example, "circle" as a noun is well known, whereas its use as a verb is not. For artificial-intelligence-based support systems for learning vocabulary, assessing each learner's knowledge of such atypical but common…
Descriptors: Language Tests, Vocabulary Development, Second Language Learning, Second Language Instruction
Taylor, Amanda; Nelson, Julie; O'Donnell, Sharon; Davies, Elizabeth; Hillary, Jude – National Foundation for Educational Research, 2022
Calls are intensifying for workforce reskilling and a re-engineering of education and training to meet the demands of the future. Current policy in England focuses on technical, digital and green economy skills, underpinned by strong literacy and numeracy and a knowledge-rich school curriculum. National Foundation for Educational Research's…
Descriptors: Job Skills, Labor Market, Foreign Countries, Futures (of Society)
Burkhard, Michael; Seufert, Sabine; Cetto, Matthias; Handschuh, Siegfried – International Association for Development of the Information Society, 2022
Educational chatbots promise many benefits for teaching and learning. Although chatbot use cases in this research field are rapidly growing, most studies focus on individual users rather than on collaborative group settings. To address this issue, this paper investigates how chatbot-mediated learning can be designed to foster middle school…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Web Based Instruction