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Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
Zhang, J.; Lou, X.; Zhang, H.; Zhang, J. – Distance Education, 2019
Understanding how collective attention flow circulates amid an over-abundance of knowledge is a key to designing new and better forms of online and flexible learning experiences. This study adopted an open flow network model and the associated distance metrics to gain an understanding of collective attention flow using clickstream data in a…
Descriptors: Attention, Online Courses, Foreign Countries, Introductory Courses
Tang, Hengtao; Dai, Miao; Yang, Shuoqiu; Du, Xu; Hung, Jui-Long; Li, Hao – Distance Education, 2022
The purpose of this research was to apply multimodal learning analytics in order to systemically investigate college students' attention states during their collaborative problem-solving (CPS) in online settings. Existing research on CPS relies on self-reported data, which limits the validity of the findings. This study looked at data in a…
Descriptors: Learning Analytics, College Students, Attention, Cooperative Learning
Zeng, Shuang; Zhang, Jingjing; Gao, Ming; Xu, Kate M.; Zhang, Jiang – Computer Assisted Language Learning, 2022
Learning analytics (LA) has the potential to generate new insights into the complexities of learning behaviours in language massive open online courses (LMOOCs). In LA, the collective attention model takes an ecological system view of the dynamic process of unequal participation patterns in online and flexible learning environments. In this study,…
Descriptors: Learning Analytics, MOOCs, Oral Language, English (Second Language)
Lämsä, Joni; Uribe, Pablo; Jiménez, Abelino; Caballero, Daniela; Hämäläinen, Raija; Araya, Roberto – Journal of Learning Analytics, 2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Synchronous Communication, Learning Analytics
Bodén, Ulrika; Stenliden, Linnéa – Designs for Learning, 2019
This paper investigates the potential aspects of visual literacy that might appear when visual analytics and students interact in social science secondary classrooms. Interacting with visual technology likely demands new forms of literacy as various dimensions of complexity emerge in such learning activities where reading imposes order and…
Descriptors: Foreign Countries, Secondary School Students, Visual Literacy, Learning Analytics
Tan, Sabine; Wiebrands, Michael; O'Halloran, Kay; Wignell, Peter – Technology, Pedagogy and Education, 2020
This paper presents the findings from a case study which explores how students engage with learning materials mediated through 360-degree panoramic videos. The case study extends findings from a project which developed an online platform for viewing and annotating 360-degree videos, and for providing data analytics (heatmaps, viewpoint tracking…
Descriptors: Learner Engagement, Video Technology, Learning Analytics, Instructional Materials
Tärning, Betty; Lee, Yeon Joo; Andersson, Richard; Månsson, Kristian; Gulz, Agneta; Haake, Magnus – Journal of the Learning Sciences, 2020
Background: Previous research shows that critical constructive feedback, that scaffolds students to improve on tasks, often remains untapped. The paper's aim is to illuminate at what stages students provided with such feedback drop out of feedback processing. Methods: In our model, students can drop out at any of five stages of feedback…
Descriptors: Feedback (Response), Computer Games, Educational Games, Elementary School Students
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2021
These proceedings contain the papers of the 18th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2021), held virtually, due to an exceptional situation caused by the COVID-19 pandemic, from October 13-15, 2021, and organized by the International Association for Development of the Information Society…
Descriptors: Computer Simulation, Open Educational Resources, Telecommunications, Handheld Devices