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Galip Kartal; Hatice Okyar – Education and Information Technologies, 2025
The present study carried out a bibliometric analysis of L2 eye-tracking research. VOSviewer, CiteSpace, and CitNetExplorer were used for the analysis. The data were 245 articles indexed by Social Sciences Citation Index (SSCI). The study identified the research topics, trends, promising research directions, influential authors and documents, and…
Descriptors: Bibliometrics, Eye Movements, Second Language Learning, Language Research
Yishen Song; Liming Guo; Qinhua Zheng – Education and Information Technologies, 2025
Scientific inquiry ability is closely related to the process of hands-on inquiry practice. However, its assessment is often separated from this practice due to the limitation of technical basis and labor cost. The development of multimodal data analysis provides a new opportunity to realize automated assessment based on hands-on practice.…
Descriptors: Elementary School Students, Grade 4, Hands on Science, Experiential Learning
Sumardani, Dadan; Lin, Chih-Hung – Education and Information Technologies, 2023
Virtual Reality (VR) has gained popularity in educational fields enabling new learning possibilities. In the implementation process, VR could improve learning by increasing positive affective and cognitive processing, whereas VR also could hurt learning by increasing distraction and leading to poorer learning outcomes. Thus, understanding the…
Descriptors: Computer Simulation, Cognitive Processes, Brain Hemisphere Functions, Reading Processes
Sridharan, Shwetha; Saravanan, Deepti; Srinivasan, Akshaya Kesarimangalam; Murugan, Brindha – Education and Information Technologies, 2021
There exist numerous resources online to gain the desired level of knowledge on any topic. However, this complicates the process of selecting the most appropriate resources. Every learner differs in terms of their learning speed, proficiency, and preferred mode of learning. This paper develops an adaptive learning management system to tackle this…
Descriptors: Integrated Learning Systems, Computer Assisted Instruction, Individualized Instruction, Learning Analytics
Jia, Yuane; Gesing, Peggy; Jun, Hyun-Jin; Burbage, Amanda K.; Hoang, Thuha; Kulo, Violet; Cestone, Christina; McBrien, Sarah; Tornwall, Joni – Education and Information Technologies, 2023
The rapid learning environment transition initiated by the COVID-19 pandemic impacted students' perception of, comfort with, and self-efficacy in the online learning environment. Garrison's Community of Inquiry framework provides a lens for examining students' online learning experiences through three interdependent elements: social presence,…
Descriptors: Learning Modalities, Educational Change, Student Attitudes, Self Efficacy
Xiao, Jun; Lin, Tzu-Han; Sun-Lin, Hong-Zheng – Education and Information Technologies, 2022
This study aimed to explore the pedagogical dimension of multichannel multimodal learning (MML) and its association with student engagement. Forty-three students from Shanghai Open University participated in the study and their behavioural, emotional, cognitive learning engagement were investigated. Although teaching in the same space, the three…
Descriptors: Learning Modalities, Learning Experience, Learner Engagement, College Students
Chettaoui, Neila; Atia, Ayman; Bouhlel, Med Salim – Education and Information Technologies, 2023
Recent advances in sensor technology, including eye-gaze tracking, have introduced the opportunity to incorporate gaze into student modelling within an embodied learning context. The produced multimodal data is used to uncover cognitive, behavioural, and affective processes during the embodied learning activity. However, the use of eye-tracking…
Descriptors: Elementary School Students, Eye Movements, Academic Achievement, Human Body
Troussas, Christos; Chrysafiadi, Konstantina; Virvou, Maria – Education and Information Technologies, 2021
Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style, Stereotypes
Stenliden, Linnea; Nissen, Jörgen – Education and Information Technologies, 2022
In a world 'flooded' with data, students in school need adequate tools as Visual Analytics (VA), that easily process mass data, give support in drawing advanced conclusions and help to make informed predictions in relation to societal circumstances. Methods for how the students' insights may be reformulated and presented in 'appropriate' modes are…
Descriptors: Elementary School Students, Visual Aids, Data Analysis, Visualization