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Zhao, Fuzheng; Liu, Gi-Zen; Zhou, Juan; Yin, Chengjiu – Educational Technology & Society, 2023
Big data in education promotes access to the analysis of learning behavior, yielding many valuable analysis results. However, with obscure and insufficient guidelines commonly followed when applying the analysis results, it is difficult to translate information knowledge into actionable strategies for educational practices. This study aimed to…
Descriptors: Learning Analytics, Man Machine Systems, Artificial Intelligence, Learning Strategies
Yi Zhang; Jiumin Yang; Chenyan Dai; Zhongling Pi – Educational Technology & Society, 2024
Previous studies have shown that encouraging students to use self-explanation strategies has proven effective in text-focused learning contexts. However, no study to date has focused on how students' strategy preference moderates the effect of self-explanation strategies on learning from video lectures. The current study investigated how students'…
Descriptors: Teaching Methods, Video Technology, Lecture Method, Preferences
Hui-Chun Chu; Chia-Ying Hsu; Chun-Chieh Wang – Educational Technology & Society, 2025
In ancient poetry courses, students are expected to learn literary skills and the ability for interpreting ancient poems, from which they can gain insight into the historical context and appreciate the beauty of the poems. However, due to the gaps between ancient and modern living contexts, students often encounter difficulties in comprehending…
Descriptors: Poetry, History, Comprehension, Artificial Intelligence
Tingting Wang; Juan Zheng; Susanne P. Lajoie – Educational Technology & Society, 2025
Previous studies have confirmed the pivotal roles of student engagement in predicting learning achievements; however, only a few emphasized the patterns of different engagement dimensions within individuals (i.e., co-occurrences of behavioral, cognitive, and emotional engagement). Thus, this study identifies engagement profiles and explores their…
Descriptors: Medical Students, Technology Uses in Education, Educational Technology, Computer Simulation
Wang, Tingting; Li, Shan; Lajoie, Susanne – Educational Technology & Society, 2023
Cognitive load can be induced by both learning tasks and self-regulated learning (SRL) activities, which compete for limited working memory capacity. However, there is little research on the relationship between cognitive load and SRL. This study explored how cognitive load interplayed with SRL behaviors and their joint effects on task performance…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Technology Uses in Education
Yuchen Chen; Xinli Zhang; Lailin Hu – Educational Technology & Society, 2024
In conventional ancient Chinese poetry learning, students tend to be under-motivated and fail to understand many aspects of poetry. As generative artificial intelligence (GAI) has been applied to education, image-GAI (iGAI) provides great opportunities for students to generate visualized images based on their descriptions of poems, and to situate…
Descriptors: Elementary School Students, Grade 5, Poetry, Artificial Intelligence
Chen, Chih-Hung; Koong, Chorng-Shiuh; Liao, Chien – Educational Technology & Society, 2022
Artificial intelligence (AI) technology has been progressively utilized in educational environments in recent years, due to the advances in computing and information processing techniques. The automatic speech recognition technique (ASR) provides students with instantaneous feedback and interactive oral practice for supporting a context with…
Descriptors: Evaluation Methods, Speech Communication, Speech Skills, Anxiety
Chen, Beyin; Hwang, Gwo-Haur; Wang, Shen-Hua – Educational Technology & Society, 2021
The application of artificial intelligence (AI) in education is now widespread, and the use of robots in education has demonstrated a positive influence on students' behavior and development. However, the use of emerging technologies usually results in cognitive load, especially for elementary school students whose learning capacity has not yet…
Descriptors: Cognitive Processes, Difficulty Level, Game Based Learning, Robotics
Wu, Bian; Hu, Yiling; Wang, Minhong – Educational Technology & Society, 2020
The high-fidelity and interactivity afforded by head-mounted displays (HMD) has a potential to improve learning in problem-solving contexts. However, there is a lack of studies with mixed findings on the efficacy of HMD in the development of problem-solving competence. Moreover, the integration of learning strategies with HMD supported learning is…
Descriptors: Technology Uses in Education, Problem Solving, Student Attitudes, Self Efficacy
Wu, Ting-Ting; Huang, Yueh-Min; Su, Chen-Ying; Chang, Lei; Lu, Yi Chen – Educational Technology & Society, 2018
Nursing practice courses are the most formative part of nursing education. Through practice, nursing students apply, validate, and clarify theories taught in class. Recently, research on the application of mobile devices in nursing practice courses has advanced rapidly. An e-book system that integrates text, audio, and images can improve a…
Descriptors: Nursing Education, Electronic Publishing, Educational Technology, Technology Uses in Education
Schwonke, Rolf – Educational Technology & Society, 2015
Instructional design theories such as the "cognitive load theory" (CLT) or the "cognitive theory of multimedia learning" (CTML) explain learning difficulties in (computer-based) learning usually as a result of design deficiencies that hinder effective schema construction. However, learners often struggle even in well-designed…
Descriptors: Cognitive Processes, Difficulty Level, Metacognition, Self Control
Chu, Hui-Chun; Wang, Chun-Chieh; Wang, Lin – Educational Technology & Society, 2019
EFL (English as a foreign language) students usually learn by rote when they study English grammar. They usually memorize all the grammar rules mechanically instead of learning grammar in a structured way. Researchers have suggested that students can internalize knowledge via using knowledge construction tools and collaborated learning activities.…
Descriptors: Instructional Effectiveness, Concept Mapping, Cooperative Learning, Game Based Learning
Yang, Chi; Jen, Chun-Hui; Chang, Chun-Yen; Yeh, Ting-Kuang – Educational Technology & Society, 2018
This study aimed to examine the relative effectiveness of using an animation versus static pictures in terms of supporting the learning of genetics. To provide a methodologically sound comparison, the two sessions were constructed to be equivalent and were designed based on principles provided by the cognitive theory of multimedia learning and the…
Descriptors: Genetics, Teaching Methods, Science Instruction, Scientific Concepts
Wang, Zhe; Adesope, Olusola – Educational Technology & Society, 2017
Research on the seductive details effect on reading expository texts in multimedia learning environments has grown over the past few decades. However, less is known when seductive details are encountered in learning through worked-examples to solve problems. Thus, it is necessary to examine the seductive details effect when solving problems in a…
Descriptors: Attention, Recall (Psychology), Cognitive Processes, Prompting
Cheng, Tsung-Sheng; Lu, Yu-Chun; Yang, Chu-Sing – Educational Technology & Society, 2015
Multimedia plays a vital role in both learning systems and the actual education process. However, currently used presentation software is often not optimized and generates a great deal of clutter on the screen. Furthermore, there is often insufficient space on a single display, leading to the division of content. These limitations generally…
Descriptors: Cognitive Processes, Difficulty Level, Multimedia Instruction, Visual Aids