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Álvaro Antón-Sancho; Diego Vergara; Pablo Fernández-Arias – Smart Learning Environments, 2024
Virtual Reality (VR) is a computer-generated environment with noteworthy didactic applications in different educational levels and areas of knowledge. The study of the perceptions of the agents involved about the use of VR in lectures is a fruitful line of research because it has implications in terms of the measures to be taken to improve the…
Descriptors: Computer Simulation, College Faculty, Social Sciences, Engineering
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Matsuda, Noboru; Weng, Wenting; Wall, Natalie – International Journal of Artificial Intelligence in Education, 2020
The effect of metacognitive scaffolding for learning by teaching was investigated and compared against learning by being tutored. Three versions of an online learning environment for learning algebra equations were created: (1) APLUS that allows students to interactively teach a synthetic peer with a goal to have the synthetic peer pass the quiz…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Tutoring, Intelligent Tutoring Systems
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Song, Donggil; Rice, Marilyn; Oh, Eun Young – International Review of Research in Open and Distributed Learning, 2019
Online learning environments could be well understood as a multifaceted phenomenon affected by different aspects of learner participation including synchronous/asynchronous interactions. The aim of this study was to investigate learners' participation in online courses, synchronous interaction with a conversational virtual agent, their…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Interaction
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Oliveira, Eduardo; de Barba, Paula; Corrin, Linda – Australasian Journal of Educational Technology, 2021
Smart learning environments (SLE) provide students with opportunities to interact with learning resources and activities in ways that are customised to their particular learning goals and approaches. A challenge in developing SLEs is providing resources and tasks within a single system that can seamlessly tailor learning experience in terms of…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Undergraduate Students
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Edenfield, Crystal; McBrayer, Juliann Sergi – Community College Journal of Research and Practice, 2021
Based on the shift in higher education from providing access to improving student outcomes, the purpose of this study was to examine institutional conditions community college students perceived as contributing to success in terms of identifying and making progress toward or achieving their educational goals. Institutional conditions were…
Descriptors: Institutional Characteristics, Community Colleges, Two Year College Students, Academic Achievement
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Gupta, Sambhav; Chen, Yu – Journal of Information Systems Education, 2022
Supporting student academic success has been one of the major goals for higher education. However, low teacher-to-student ratio makes it difficult for students to receive sufficient and personalized support that they might want to. The advancement of artificial intelligence (AI) and conversational agents, such as chatbots, has provided…
Descriptors: Inclusion, Undergraduate Students, At Risk Students, Artificial Intelligence
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Matsuda, Noboru – International Journal of Artificial Intelligence in Education, 2022
This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…
Descriptors: Artificial Intelligence, Teaching Methods, Intelligent Tutoring Systems, Feedback (Response)
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Song, Donggil – Contemporary Educational Technology, 2017
Learning-by-teaching has been identified as one of the more effective approaches to learning. Recently, educational researchers have investigated virtual environments in order to utilize the learning-by-teaching pedagogy. In a face-to-face learning-by-teaching situation, the role of the learners is to teach their peers or instructors. In virtual…
Descriptors: Intelligent Tutoring Systems, Concept Mapping, Man Machine Systems, Interaction
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Hollander, John; Sabatini, John; Graesser, Art – COABE Journal: The Resource for Adult Education, 2021
Twenty-first century literacy includes a mixture of digital and print literacy skills and strategies. AutoTutor for Adult Reading Comprehension is a web-based intelligent tutoring system that is designed to help adult learners develop effective reading comprehension strategies. Lessons span basic reading skills (vocabulary, word parts),…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Reading Instruction, Reading Comprehension
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Akella, Devi – Learning Organization, 2021
Purpose: This paper aims to contribute by placing the missing "learner agent" within the entire process of learning. To understand under what social conditions, it is possible to develop autonomous learners who are conscious of self, able to reflect on their identities, roles and responsibilities, to learn and develop professionally, in…
Descriptors: Student Centered Learning, Models, Organizational Learning, Reflection
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Mnasri, Sami; Habbash, Manssour – Interactive Learning Environments, 2023
Accent recognition refers to the problem of inferring the native language of a speaker from his foreign-accented speech. Differences in accent are due to both articulation and prosodic characteristics. The automatic identification of foreign accents is valuable for different speech systems, such as speech recognition, speaker identification or…
Descriptors: Arabic, Blended Learning, Artificial Intelligence, English (Second Language)
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Oller, Judith; Engel, Anna; Rochera, Maria José – Journal of Educational Research, 2021
This article presents an exploratory study aimed at analyzing the instructional design of learning personalization practices in three secondary education centers that promote connections between students' learning and/or their learning experiences in and out of school. We propose three dimensions for analysis, according to a constructivist and…
Descriptors: Learning Experience, Instructional Design, Constructivism (Learning), Sociocultural Patterns
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Prachagool, Veena; Nuangchalerm, Prasart – Journal of Education and Learning (EduLearn), 2021
The rapidly changed in our society and education may influence to nature of learning and learning behaviors in young new generation. The 21st century learning is requiring educators to prepare our children by quality of learning and teaching. Teachers are key change agent to help learners live and learn with new learning environments. The study…
Descriptors: Teacher Attitudes, Foreign Countries, Teaching Methods, Problem Solving
Hollander, John; Sabatini, John; Graesser, Art – Grantee Submission, 2021
Twenty-first century literacy includes a mixture of digital and print literacy skills and strategies. AutoTutor for Adult Reading Comprehension is a web-based intelligent tutoring system that is designed to help adult learners develop effective reading comprehension strategies. Lessons span basic reading skills (vocabulary, word parts),…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Reading Instruction, Reading Comprehension
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Yasin, Farra – Pedagogy, Culture and Society, 2023
This qualitative case study presents an investigation on how three adult literacy educators in community-based teaching contexts are using anti-deficit, culturally relevant and critical practices to engage racialised women in learning processes that counter colonial epistemology. These educators work in Ontario, Canada where policy around adult…
Descriptors: Foreign Countries, Females, Power Structure, Disadvantaged
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