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Mubarak, Ahmed Ali; Ahmed, Salah A. M.; Cao, Han – Interactive Learning Environments, 2023
In this study, we propose a MOOC Analytic Statistical Visual model (MOOC-ASV) to explore students' engagement in MOOC courses and predict their performance on the basis of their behaviors logged as big data in MOOC platforms. The model has multifunctions, which performs on visually analyzing learners' data by state-of-the-art techniques. The model…
Descriptors: MOOCs, Learner Engagement, Performance, Student Behavior
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Nguyen, Ha; Parameswaran, Prasina – Information and Learning Sciences, 2023
Purpose: The goal of this study is to explore how content creators engage in critical data literacies on TikTok, a social media site that encourages the creation and dissemination of user-created, short-form videos. Critical data literacies encompass the ability to reason with, critique, control, and repurpose data for creative uses. Existing work…
Descriptors: Critical Literacy, Social Media, Video Technology, Criticism
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Yürüm, Ozan Rasit; Taskaya-Temizel, Tugba; Yildirim, Soner – Education and Information Technologies, 2023
Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…
Descriptors: Video Technology, Educational Technology, Learning Management Systems, Data Collection
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Xue, Xiaorui; Xie, Shiwei; Mishra, Shitanshu; Wright, Anna M.; Biswas, Gautam; Levin, Daniel T. – Educational Technology Research and Development, 2022
Recent advances in eye-tracking technology afford the possibility to collect rich data on attentional focus in a wide variety of settings outside the lab. However, apart from anecdotal reports, it is not clear how to maximize the validity of these data and prevent data loss from tracking failures. Particularly helpful in developing these…
Descriptors: Case Studies, Eye Movements, Comparative Analysis, Human Posture
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Salas-Rueda, Ricardo-Adán – Canadian Journal of Learning and Technology, 2021
The aim of this quantitative research is to analyze the impact of Facebook in the teaching-learning process in financial mathematics education, using data science, machine learning, and neural networks. The sample is composed of 46 students from the Bachelor of Administration, Commerce and Marketing program at La Salle University. The results of…
Descriptors: Social Media, Mathematics Instruction, Data Use, Undergraduate Students
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Hirsch, Shanna E.; MacSuga-Gage, Ashley S.; Ennis, Robin Parks; Mathews, Hannah Morris; Rice, Kathryn; Marcus, Kendalee – Journal of Special Education Technology, 2020
Positive behavioral interventions and supports (PBIS) is an empirically-based framework for proactively supporting student behavior across school settings. One technique schools utilize to teach and reinforce behavioral expectations is through the use of video. Since 2010, the Association for Positive Behavior Support has hosted the PBIS Film…
Descriptors: Video Technology, Positive Behavior Supports, Films, Film Production
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Downer, Jason T.; Williford, Amanda P.; Bulotsky-Shearer, Rebecca J.; Vitiello, Virginia E.; Bouza, Johayra; Reilly, Shannon; Lhospital, Ann – School Mental Health, 2018
Consultation to teachers can be an effective intervention for reducing young children's challenging behaviors within the classroom, yet there is a need for more efficient approaches that provide data-driven, video-based support to enhance and expand teacher and child impacts. This paper focuses on a newly developed early childhood consultation…
Descriptors: Data Use, Video Technology, Early Childhood Teachers, Consultation Programs