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Kim, Yunsung; Sreechan; Piech, Chris; Thille, Candace – International Educational Data Mining Society, 2023
Dynamic Item Response Models extend the standard Item Response Theory (IRT) to capture temporal dynamics in learner ability. While these models have the potential to allow instructional systems to actively monitor the evolution of learner proficiency in real time, existing dynamic item response models rely on expensive inference algorithms that…
Descriptors: Item Response Theory, Accuracy, Inferences, Algorithms
Mia Carapina; Klaudio Pap – International Association for Development of the Information Society, 2024
This paper introduces CoCo, a system designed to support and encourage collaborative learning among colocated students sharing a single mobile device. It provides teachers with the possibility to create digital lessons, configure parameters for collaborative activities such as the number of students and tablets, and monitor students' progress. On…
Descriptors: Cooperative Learning, Handheld Devices, Teaching Methods, Learning Management Systems
Khalid Oqaidi; Sarah Aouhassi; Khalifa Mansouri – International Association for Development of the Information Society, 2022
The dropout of students is one of the major obstacles that ruin the improvement of higher education quality. To facilitate the study of students' dropout in Moroccan universities, this paper aims to establish a clustering approach model based on machine learning algorithms to determine Moroccan universities categories. Our objective in this…
Descriptors: Models, Prediction, Dropouts, Learning Analytics
Watanabe, Hiroyuki; Chen, Li; Geng, Xuewang; Goda, Yoshiko; Shimada, Atsushi – International Association for Development of the Information Society, 2020
Learning skills include abilities, habits, understanding, and attitudes which are utilized to achieve learning. Students will not achieve good grades unless they properly manage their limited study time. However, it is not easy for them to organize their own study time and learn how to use it efficiently. Notably, learning analytics has not been…
Descriptors: Time Management, Learning Analytics, Skill Development, Self Management
Fancsali, Stephen E.; Murphy, April; Ritter, Steve – International Educational Data Mining Society, 2022
Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…
Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis
Saastamoinen, Kalle; Rissanen, Antti; Mutanen, Arto – International Baltic Symposium on Science and Technology Education, 2023
There were two projects at the National Defence University of Finland (NDU), which both ended by the end of 2022. One of them tried to find the answers to the main question: How artificial intelligence (AI) could be used to improve learning, teaching, and planning? The other tried to find the answer to the main question: What new skills do…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Teaching Methods, Learning Analytics
Chen, Li; Lu, Min; Goda, Yoshiko; Yamada, Masanori – International Association for Development of the Information Society, 2019
Metacognition is an aspect in self-regulated learning and is necessary to achieve such learning in an effective and efficient manner. However, it is not always easy and accurate for learners to monitor or assess their own metacognition. In this study, we designed a learning analytics dashboard to improve self-regulated learning in online…
Descriptors: Learning Analytics, Metacognition, Learning Strategies, Information Management
Lam, Paul; Lau, Carmen K. M.; Chan, Chi Him – International Association for Development of the Information Society, 2019
A successful flipped classroom relies heavily on student engagement in pre-class learning and their active participation in classroom activities. However, much to students' disappointment, their efforts in the learning process often go unnoticed in traditional assessment approaches (such as term papers and final examinations) that are more…
Descriptors: Flipped Classroom, Homework, Student Attitudes, Learning Processes
Williams, Janet M.; Pulido, Laurie – American Association for Adult and Continuing Education, 2022
During the COVID-19 pandemic, an adult noncredit program in the California Community College system partnered with Ease Learning to help convert face-to-face courses to an online modality. Subsequent data revealed a misalignment in the courses' Student Learning Outcomes and Instructional Objectives which became a barrier to student success. Wile's…
Descriptors: Best Practices, Teaching Methods, Online Courses, Outcomes of Education
Nakayama, Keita; Shimada, Atsushi; Minematsu, Tsubasa; Taniguchi, Yuta; Taniguchi, Rin-Ichiro – International Association for Development of the Information Society, 2019
Thanks to an increase in the amount of information on the Internet and the spread of ICT-supported educational environments, much attention has been paid to learning support based on "smart" recommendation technologies. In this study, we propose an education improvement model based on the recommender system using the human-in-the-loop…
Descriptors: Models, Information Dissemination, Internet, Educational Technology
Abe, Kousuke; Tanaka, Tetsuo; Matsumoto, Kazunori – International Association for Development of the Information Society, 2020
The authors are developing and using a fill-in workbook system that allows faculty members to ascertain the attitude of all students to classes including students who are not active, and to improve lectures through well-timed and appropriate actions. In this paper, in order to help teachers improve lessons and teaching materials, and to help…
Descriptors: Student Attitudes, Educational Improvement, Instructional Materials, Learning Management Systems
Roux, Lisa; Dagorret, Pantxika; Etcheverry, Patrick; Nodenot, Thierry; Marquesuzaa, Christophe; Lopisteguy, Philippe – International Association for Development of the Information Society, 2021
Distance computer-assisted learning is increasingly common, owing largely to the expansion and development of e-technology. Nevertheless, the available tools of the learning platforms have demonstrated their limits during the pandemic context, since many students, who were used to "face-to-face" education, got discouraged and dropped out…
Descriptors: Distance Education, Computer Software, Teacher Student Relationship, Supervision