Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses

W Chango, R Cerezo, C Romero - Computers & Electrical Engineering, 2021 - Elsevier
In this paper we apply data fusion approaches for predicting the final academic performance
of university students using multiple-source, multimodal data from blended learning …

Local technology to enhance data privacy and security in educational technology

D Amo Filvá, P Prinsloo… - … journal of interactive …, 2021 - upcommons.upc.edu
In educational environments, technological adoption in the last 10 years has enabled a data-
driven and decisionmaking paradigm in organizations. The integration of cloud services in …

Learning analytics and evidence-based K12 education in Japan: usage of data-driven services for mobile learning across two years

H Ogata, R Majumdar, B Flanagan… - … Journal of Mobile …, 2024 - inderscienceonline.com
Learning and evidence analytics framework (LEAF) is a technology framework for data-
driven services in education. LEAF helps to form an educational eco-system with new digital …

Biometrics and behavior analysis for detecting distractions in e-learning

Á Becerra, J Irigoyen, R Daza, R Cobos… - … on Computers in …, 2024 - ieeexplore.ieee.org
In this article, we explore computer vision approaches to detect abnormal head pose during
e-Iearning sessions and we introduce a study on the effects of mobile phone usage during …

Learning analytics for enhanced professional capital development: a systematic review

J de La Hoz-Ruiz, M Khalil… - Frontiers in …, 2024 - frontiersin.org
Background/Motivation This article presents a systematic review aimed at examining the
utilization of learning analytics (LA) to enhance teachers' professional capital. Aim The study …

Self-Regulated Learning and Active Feedback of MOOC Learners Supported by the Intervention Strategy of a Learning Analytics System

R Cobos - Electronics, 2023 - mdpi.com
MOOCs offer great learning opportunities, but they also present several challenges for
learners that hinder them from successfully completing MOOCs. To address these …

A generative AI-based personalized guidance tool for enhancing the feedback to MOOC learners

Á Becerra, Z Mohseni, J Sanz… - 2024 IEEE Global …, 2024 - ieeexplore.ieee.org
The widespread adoption of Massive Open Online Courses (MOOCs) has profoundly
influenced higher education by granting learners access to an extensive array of …

M2lads: A system for generating multimodal learning analytics dashboards

A Becerra, R Daza, R Cobos, A Morales… - 2023 IEEE 47th …, 2023 - ieeexplore.ieee.org
In this article, we present a Web-based System called M2LADS, which supports the
integration and visualization of multimodal data recorded in learning sessions in a MOOC in …

Teaching through learning analytics: Predicting student learning profiles in a physics course at a higher education institution

EG Rincon-Flores, E Lopez-Camacho, J Mena… - 2022 - reunir.unir.net
Learning Analytics (LA) is increasingly used in Education to set prediction models from
artificial intelligence to determine learning profiles. This study aims to determine to what …

Your teammate just sent you a new message!: The effects of using telegram on individual acquisition of teamwork competence

MÁC González, FJR Sedano, ÁH García… - IJIMAI, 2021 - dialnet.unirioja.es
Students' acquisition of teamwork competence has become a priority for educational
institutions. The development of teamwork competence in education generally relies in …