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Chang, Hui-Tzu; Lin, Chia-Yu; Jheng, Wei-Bin; Chen, Shih-Hsu; Wu, Hsien-Hua; Tseng, Fang-Ching; Wang, Li-Chun – Educational Technology & Society, 2023
The objective of this research is based on human-centered AI in education to develop a personalized hybrid course recommendation system (PHCRS) to assist students with course selection decisions from different departments. The system integrates three recommendation methods, item-based, user-based and content-based filtering, and then optimizes the…
Descriptors: Artificial Intelligence, Course Selection (Students), Blended Learning, Accuracy
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Marsela Thanasi-Boçe; Julian Hoxha – Education and Information Technologies, 2024
Entrepreneurship education has evolved to meet the demands of a dynamic business environment, necessitating innovative teaching methods to prepare entrepreneurs for market uncertainties. Large Language Models (LLMs) like the Generative Pre-trained Transformer 4 (GPT-4), recognized for their exceptional performance on public datasets, are examined…
Descriptors: Entrepreneurship, Business Administration Education, Technology Integration, Artificial Intelligence
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Lucia Uguina-Gadella; Iria Estevez-Ayres; Jesus Arias Fisteus; Carlos Alario-Hoyos; Carlos Delgado Kloos – IEEE Transactions on Learning Technologies, 2024
Students learn not only directly from their teachers and books, but also by using their computers, tablets, and phones. Monitoring these learning environments creates new opportunities for teachers to track students' progress. In particular, this article is based on gathering real-time events as students interact with learning tools and materials…
Descriptors: Predictor Variables, Academic Achievement, Computer Assisted Instruction, Electronic Learning
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Zola Chi-Chin Lai – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study examines the impact of artificial intelligence (AI)-assisted blended learning on writing self-efficacy and resilience among lower intermediate English as a foreign language learners. Using a quasi-experimental design, it compares outcomes of an experimental group using AI tools with a control group receiving traditional instruction.…
Descriptors: Artificial Intelligence, Blended Learning, Writing Instruction, English (Second Language)
Rachel Williams Newman – Online Submission, 2025
Surgical resident learning style preferences in the wake of the rapid, widespread adoption of online learning technology during and following the COVID-19 pandemic is not widely studied. This study investigated learning style preferences of surgical residents in the context of engagement in a hybrid national scientific conference. Thirty-five…
Descriptors: Surgery, Graduate Medical Education, Cognitive Style, Distance Education
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Hsiu-Lien Tu – Educational Process: International Journal, 2025
Background/purpose: This research aimed to evaluate the impact of integrating the WSQ-based flipped learning method with cooperative learning on speaking performance among English as a Foreign Language (EFL) learners. Addressing the challenges EFL learners face in oral proficiency, the study sought to determine whether this innovative pedagogical…
Descriptors: Cooperative Learning, Flipped Classroom, Speech Communication, Pronunciation
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Rahimzadeh, Leila; Gilakjani, Abbas Pourhosein – Knowledge Management & E-Learning, 2022
As an alternative solution to solve different reading comprehension problems in learning English as a foreign language (EFL), it is necessary to implement a blended learning model that combines both online and face-to-face (f2f) teaching modes. This study aimed at investigating the impact of blended learning on Iranian intermediate EFL learners'…
Descriptors: Blended Learning, English (Second Language), Second Language Learning, Teaching Methods
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Lee, James F.; Malovrh, Paul A.; Doherty, Stephen; Nichols, Alecia – Language Teaching Research, 2022
Recent research on the effects of processing instruction (PI) have incorporated online research methods in order to demonstrate that PI has effects on cognitive processing behaviors as well as on accuracy (e.g. Lee & Doherty, 2019a). The present study uses self-paced reading and a moving windows technique to examine the effects of PI on second…
Descriptors: Language Processing, Comparative Analysis, Second Language Instruction, Second Language Learning
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Werlen, Egon; Bergamin, Per – International Association for Development of the Information Society, 2018
The continuous measurement of learning behavior or learning outcome by appropriate sensors is fundamental for the implementation of technology-based adaptive learning courses. An adaptive system needs such learning data to adapt the instruction to the needs of students. Depending on the learning objective, the sensors use information generated…
Descriptors: Self Evaluation (Individuals), Measures (Individuals), Computer Assisted Instruction, Computer Assisted Testing
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Sarré, Cédric; Grosbois, Muriel; Brudermann, Cédric – Computer Assisted Language Learning, 2021
Corrective feedback (CF) can be provided to learners in different ways (explicit or implicit, focused or unfocused) and is the subject of major controversies in second language acquisition research. As no clear consensus has been reached so far about the most effective approach to CF with a view to fostering accuracy in second language (L2)…
Descriptors: Blended Learning, Comparative Analysis, Second Language Learning, Second Language Instruction
Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2021
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Reading Comprehension
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Bird, Erin Bridges; Harte, Peggy; Ballard, Heidi L. – Science and Children, 2020
"Citizen science" gives students a unique opportunity to engage with their own research, as well as data collected by other citizen scientists. Often, citizen science projects focus on students collecting and submitting data for scientists, which can sometimes limit opportunities to engage in the entire scientific process. This article…
Descriptors: Grade 4, Elementary School Students, Science Instruction, Teaching Methods
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Calderon, Orly; Sood, Charu – Interactive Learning Environments, 2020
Use of learning management systems is prevalent across the continuum of education formats (online, blended, face-to-face). Specific asynchronous tools such as the discussion board are effective for student-instructor and student-student communication [Calderon, Ginsberg, and Ciabocchi (2012); Jorczak, R. L., & Dupuis, D. N. (2014). Differences…
Descriptors: Outcomes of Education, Asynchronous Communication, Computer Mediated Communication, Group Discussion
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Abbitt, Jason; Watt, Sarah – Journal of Technology and Teacher Education, 2020
This study investigates the relationship between measures of user activity within a Learning Management System (LMS) and student performance during a series of Virtual Field Experience (VFE) online learning modules. Implemented in a graduate-level course on teaching methods for learners with mild/moderate disabilities, each VFE activity was…
Descriptors: Management Systems, Preservice Teachers, Computer Simulation, Online Courses
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Xin, Li; Zhongbao, Zhao – International Education Studies, 2021
We advocate the in-depth integration of information technology and education in the digital age, and we also encourage teachers of all disciplines to actively carry out online and offline blended learning. This study attempts to use an empirical research to apply the Blended Learning to the oral English teaching in the first year of senior high…
Descriptors: Blended Learning, Oral Language, Language Proficiency, Second Language Learning
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