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Jesús Pérez; Eladio Dapena; Jose Aguilar – Education and Information Technologies, 2024
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reinforcement, Difficulty Level
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Chia-Chen Chen; Yang-Hsiang Tsai – Education and Information Technologies, 2025
With the rapid advancement of digital learning technologies, interactive e-books have emerged as a pivotal tool in technology-enhanced education, particularly for promoting active learning. However, existing research on learning engagement has inadequately addressed the integrated effects of emotional, behavioral, and cognitive dimensions on…
Descriptors: Electronic Books, Technology Uses in Education, Academic Achievement, Student Satisfaction
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Wei Zhang; Mingxuan Cai; Hong Joo Lee; Richard Evans; Chengyan Zhu; Chenghan Ming – Education and Information Technologies, 2024
Artificial Intelligence (AI) is transforming healthcare and shows considerable promise for the delivery of medical education. This systematic review provides a comprehensive analysis of the global situation, effects, and challenges associated with applying AI at the different stages of medical education. This review followed the PRISMA guidelines,…
Descriptors: Artificial Intelligence, Medical Education, Content Analysis, Teaching Methods
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Li Hu; Yulu Chen; Lisi Chen – Education and Information Technologies, 2025
With the continuous development of higher education, the evaluation of college students' learning has received increasing attention. Understanding the impact of the multiple evaluation system on college students' sense of English learning acquisition is of great significance. It helps educators to better design teaching activities and evaluation…
Descriptors: College Students, Student Attitudes, Academic Achievement, Student Evaluation
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Yasemin Kahyaoglu Erdogmus; Adile Askim Kurt – Education and Information Technologies, 2024
This study investigated pedagogical agent (with/without) and feedback (explanatory/confirmatory) types on achievement, flow experience, and cognitive load in a digital game-based learning environment. We developed a game about spreadsheets and prepared four versions of the game in the context of pedagogical agent and feedback types. Through the…
Descriptors: Cognitive Processes, Difficulty Level, Skill Development, Game Based Learning
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Manuel B. Garcia – Education and Information Technologies, 2025
The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review…
Descriptors: Computer Science Education, Teaching Methods, Programming, Computer Uses in Education
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Eugene Kwasi Gyekye – Education and Information Technologies, 2025
This qualitative study explores middle school students' perceptions of effective online learning pedagogies. I draw on eight semi-structured interviews with two students, 12 interviews with teacher participants, ongoing, open-ended ethnographic interviews with students and teachers, student artifacts, and field notes from over 300 h of synchronous…
Descriptors: Instructional Effectiveness, Teaching Methods, Electronic Learning, Middle School Students
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Liyin Zhang; Mian Wu; Fan Ouyang – Education and Information Technologies, 2024
The data-intensive research paradigm calls for using educational and learning data to generate actionable insights and improve the instruction and learning quality. Although previous research designed and employed teaching analytics or learning analytics tools, few research had incorporated multiple data sources to assess the overall teaching and…
Descriptors: In Person Learning, Small Classes, Foreign Countries, Learning Analytics
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Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
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Siamack Zahedi; Royce Kimmons; Priyanka Venkat – Education and Information Technologies, 2025
This case-study analyzed the pedagogical uses of 1:1 devices at a mid-cost private school in India. Relying on interviews, classroom observations, and naturalistic qualitative approaches, we categorized classroom technology use according to the PICRAT model of technology--Passive-Interactive-Creative and Replacement-Amplification-Transformation.…
Descriptors: Educational Technology, Technology Uses in Education, Private Schools, Access to Computers
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Eisa Rezaei; Sepide Sadat Beheshti Shirazi – Education and Information Technologies, 2024
Assessment plays a crucial role in the learning process and significantly impacts students' understanding of tasks and their engagement. With the increasing popularity of e-learning, cognitive assessment methods are becoming more prevalent, and they can help develop students' high-order thinking skills (HOTS). Thinking-Aloud Peer Assessment (TAPA)…
Descriptors: Peer Evaluation, Problem Solving, Communication (Thought Transfer), Cognitive Processes
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Kai Guo; Deliang Wang – Education and Information Technologies, 2024
ChatGPT, the newest pre-trained large language model, has recently attracted unprecedented worldwide attention. Its exceptional performance in understanding human language and completing a variety of tasks in a conversational way has led to heated discussions about its implications for and use in education. This exploratory study represents one of…
Descriptors: Feedback (Response), English (Second Language), Artificial Intelligence, Natural Language Processing
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Nafiseh Taghizadeh Kerman; Seyyed Kazem Banihashem; Mortaza Karami; Erkan Er; Stan van Ginkel; Omid Noroozi – Education and Information Technologies, 2024
Online peer feedback is an effective instructional strategy to enhance students' learning processes and outcomes. However, the literature lacks a comprehensive understanding of the influential factors that play a key role in the effective implementation of online peer feedback. This systematic review provides an overview of the current state of…
Descriptors: Feedback (Response), Student Characteristics, Personality Traits, Learning Processes
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Gang Yang; Wei Zhou; Huimin Zhou; Jiawen Li; Xiaodong Chen; Yun-Fang Tu – Education and Information Technologies, 2024
Second language (L2) writing plays an important role in improving the learners' language skills of English as a Foreign Language (EFL) in terms of language expression and linguistic thinking. Therefore, improving writing skills is still a focus area for EFL learners. To enhance EFL learners' writing ability and optimize their writing quality, an…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Writing Skills
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Juhee Lee; Yujung Ko – Education and Information Technologies, 2025
Metaverse technology is becoming increasingly popular in educational environments around the world. However, before it is widely applied in public education for adolescents learning English as a foreign language (EFL), it is crucial to assess its effectiveness in comparison to traditional teaching approaches. Our study involved 336 seventh-grade…
Descriptors: Middle School Students, Middle School Teachers, English (Second Language), Second Language Learning
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