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Geng, Xuewang; Yamada, Masanori – Journal of Computer Assisted Learning, 2023
Background: Augmented reality has been widely applied in various fields, and its benefits in language learning have been increasingly recognized. However, the investigation of effective learning behaviours and processes in augmented reality learning environments, taking into account temporality and analysis of differences in learning behaviours…
Descriptors: Learning Analytics, Second Language Learning, Second Language Instruction, Learning Processes
Hui-Chun Hung; Min-Yu Chuang; Cheng-Huan Chen – International Journal of Science and Mathematics Education, 2024
Due to the pandemic, many students have been forced to study remotely. This study aims to investigate the impact of online collaboration scripts on learning outcomes in virtual reality (VR) co-creation learning activities during distance learning. The collaboration scripts were designed to foster students' remote teamwork. The participants…
Descriptors: COVID-19, Pandemics, Distance Education, Cooperative Learning
Li, Shan; Huang, Xiaoshan; Wang, Tingting; Pan, Zexuan; Lajoie, Susanne P. – Journal of Learning Analytics, 2022
This study examines the temporal co-occurrences of self-regulated learning (SRL) activities and three types of knowledge (i.e., task information, domain knowledge, and metacognitive knowledge) of 34 medical students who solved two tasks of varying complexity in a computer-simulated environment. Specifically, we explored how task complexity…
Descriptors: Correlation, Metacognition, Task Analysis, Difficulty Level
Pence, Harry E. – Education Sciences, 2020
Chemical educators are facing a new generation of instructional technologies that impact classroom teaching. New technologies, like smartphones, cloud computing and artificial intelligence take learning beyond the classroom; 3D printing, virtual reality, and augmented reality provide new ways to teach the virtualization skills that are important…
Descriptors: Chemistry, Educational Technology, Telecommunications, Handheld Devices
Shimada, Atsushi; Mouri, Kousuke; Taniguchi, Yuta; Ogata, Hiroaki; Taniguchi, Rin-ichiro; Konomi, Shin'ichi – International Educational Data Mining Society, 2019
In this paper, we focus on optimizing the assignment of students to courses. The target courses are conducted by different teachers using the same syllabus, course design, and lecture materials. More than 1,300 students are mechanically assigned to one of ten courses taught by different teachers. Therefore, mismatches often occur between students'…
Descriptors: Student Placement, Learning Activities, Learning Analytics, Cognitive Style
Chamizo-Gonzalez, Julian; Cano-Montero, Elisa Isabel; Urquia-Grande, Elena; Muñoz-Colomina, Clara Isabel – International Journal of Information and Learning Technology, 2015
Purpose: The purpose of this paper are twofold. First, to disclose whether accounting students who participate more in online activities proposed by the teacher achieve better learning outcomes. Second, to identify which virtual learning activities achieve improved outcomes. Design/methodology/approach: Data mining is a computer-based tool devoted…
Descriptors: Outcomes of Education, Accounting, Learning Analytics, Teaching Methods
Sao Pedro, Michael; Jiang, Yang; Paquette, Luc; Baker, Ryan S.; Gobert, Janice – Grantee Submission, 2014
Students conducted inquiry using simulations within a rich learning environment for 4 science topics. By applying educational data mining to students' log data, assessment metrics were generated for two key inquiry skills, testing stated hypotheses and designing controlled experiments. Three models were then developed to analyze the transfer of…
Descriptors: Simulation, Transfer of Training, Bayesian Statistics, Inquiry