A5048558692- Online Learning and Analytics
- Learning Styles and Cognitive Differences
- Software System Performance and Reliability
- Online and Blended Learning
- Problem and Project Based Learning
- Education and Critical Thinking Development
- Innovative Teaching and Learning Methods
- Technology Use by Older Adults
- Gender and Technology in Education
- Teaching and Learning Programming
- Intelligent Tutoring Systems and Adaptive Learning
- Engineering Education and Curriculum Development
- Genetics, Bioinformatics, and Biomedical Research
- Mobile Health and mHealth Applications
- AI in Service Interactions
- Evaluation of Teaching Practices
- Engineering Education and Pedagogy
- Context-Aware Activity Recognition Systems
- Innovative Teaching Methods
Health Information Management
2024
Universidade Nova de Lisboa
2023-2024
Nova Management (United States)
2023
Instituto Politécnico de Leiria
2013
The introduction of accessible generative artificial intelligence opens promising opportunities for the implementation personalized learning methods in any educational environment. Personalized has been conceptualized a long time, but it only recently become realistic and truly achievable. In this paper, we propose an affordable sustainable approach toward personalizing materials as part complete process. We have created tool within pre-existing management system at software engineering...
Non-CS learners are increasingly interested in programming for career opportunities, productivity, and better communication with technical teams. Despite well-known challenges like logical thinking, unique issues non-CS remain underexplored. Purpose: This study examines the motivations, experiences, of Brazilian learners, aiming to inform educational strategies. Methodology: We conducted an open-ended survey a diverse sample 36 considered respondents, analyzing data through open coding....
Population in modern societies is ageing, and the number of elders complete isolation increases with this phenomena. Information technologies are being increasingly used to enhance remote communications monitoring between caregivers. However, these seldom adapted elders' real needs functional limitations, often discarded by them. They usually hard use lack a set features that perceive as useful their daily- life In paper we present Protege: an Android mobile application for elder- caregiver...
In higher education, providing personalized feedback and support to students is a significant challenge. Early warning systems can help by identifying both at-risk high-performing students, allowing for timely interventions enhanced learning opportunities. our study, we used year's worth of data from an information management school build predictive models two binary classification problems: students. We employed traditional machine classifiers long-short term memory units (LSTM), testing...
PERSPECTIVE MATTERS: A PRELIMINARY LOOK INTO THE DIFFERENCES BETWEEN PROFESSOR AND STUDENT PERCEPTION OF TEST DIFFICULTY THEIR RELATIONSHIP WITH PERFORMANCE
Learning management systems (LMS) provide a rich source of data about the engagement students with courses and their materials that tends to be underutilized in practice. In this paper, we use collected from LMS uncover learning strategies adopted by compare effectiveness. Starting sample over 11,000 enrollments at Portuguese information school, extracted features indicative self-regulated (SRL) behavior associated interactions. Then, employed an unsupervised machine algorithm (k-means)...
Appears in: INTED2023 Proceedings Publication year: 2023Pages: 4585-4592ISBN: 978-84-09-49026-4ISSN: 2340-1079doi: 10.21125/inted.2023.1207Conference name: 17th International Technology, Education and Development ConferenceDates: 6-8 March, 2023Location: Valencia, Spain
IMPLEMENTING TEAM-BASED LEARNING IN DATA SCIENCE EDUCATION: ENHANCING STUDENT SATISFACTION AND PERFORMANCE
The institutional adoption of learning management systems (LMS) aims to improve educational outcomes and reduce churn through student engagement with content.Modern LMS record all interactions store them as activity logs that encode patterns behaviour.Previous research has shown insights derived from log data can detect students at risk failing in a single or few courses, but comprehensive institution-wide surveys are far between.The work presented herein uses machine create predictive...
GROUPING BACHELOR'S STUDENTS ACCORDING TO THEIR MOODLE INTERACTION PROFILES: A K-MEANS CLUSTERING APPROACH
COMPARING PERCEPTION AND REALITY: EXPLORING TEST COMPLEXITY STUDENT PERFORMANCE IN HIGHER EDUCATION