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Nuo Cheng; Wei Zhao; Xiaoqing Xu; Hongxia Liu; Jinhong Tao – Education and Information Technologies, 2024
Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Ability, Online Courses
Wei Chen; Lijia Lin; Weiguo Pang – Education and Information Technologies, 2025
A video lesson with generative learning activities has the potential to improve learning by engaging learners. However, existing literature regarding designing and implementing an interactive video lesson is insufficient. In the present study, we aimed to investigate: a) whether the use of the summarizing strategy would benefit learning via video…
Descriptors: Learning Processes, Video Technology, Learning Activities, Writing Skills
Mohan Honnagudi Gururaj; Nandish Malleshappa; Sankhya Nagesh Nayak; Devaraj Fakkirappa Vadenapur; Benak Patel Medugondanahalli Puradaswamy – Education and Information Technologies, 2024
A Study with undergraduate engineering students was conducted in order to evaluate whether cognitive and comprehending ability can be improved by incorporating the tool based learning. The simulator tools and virtual labs were used to represent tool based learning. The study was conducted on three different years of students. In the first stage…
Descriptors: Undergraduate Students, Engineering Education, Evaluation, Comprehension
da Silva, Renan Amorim; de Vasconcelos, Flávia Cristina Gomes Catunda – Education and Information Technologies, 2022
This paper presents an analysis of cognitive skill levels expressed in high school students' performance using laboratory simulations. We address lower-order cognitive skills (LOCS) and higher-order cognitive skills (HOCS) situations in a virtual simulation activity, in order to identify and underly further discussions about students' reasoning…
Descriptors: Chemistry, Science Instruction, Cognitive Ability, High School Students
Yang, Jiumin; Zhu, Fangfang; Jiang, Yirui; Pi, Zhongling – Education and Information Technologies, 2023
Evidence regarding the benefits of an instructor's deictic gestures in video lectures on adults' learning may not necessarily be reflective of their effect on children's learning. Furthermore, there is a lack evidence regarding how deictic gestures specifically affect learners' learning process. Based in cognitive load theory, with consideration…
Descriptors: Comparative Analysis, Video Technology, Children, Nonverbal Communication
On Enhancing Students' Cognitive Abilities in Online Learning Using Brain Activity and Eye Movements
Jamil, Nuraini; Belkacem, Abdelkader Nasreddine; Lakas, Abderrahmane – Education and Information Technologies, 2023
The COVID-19 pandemic has interrupted education institutions in over 150 nations, affecting billions of students. Many governments have forced a transition in higher education from in-person to remote learning. After this abrupt, worldwide transition away from the classroom, some question whether online education will continue to grow in…
Descriptors: Cognitive Ability, Video Technology, Eye Movements, COVID-19
Mselle, Leonard; Ishengoma, Fredrick – Education and Information Technologies, 2022
In this paper, MTL, an approach for visualization-based pedagogy, is analyzed and contextualized in both Cognitive Load Theory (CLT) and Dual Coding Theory (DCT). Through MTL, lectures, tutorials, laboratory sessions and individual study in learning and teaching programming are all carried out using two cognitive channels; verbal and non-verbal.…
Descriptors: Visualization, Teaching Methods, Cognitive Ability, Learning Theories