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Download full textRand Al-Dmour; Hani Al-Dmour; Yazeed Al-Dmour; Ahmed Al-Dmour – Journal of International Students, 2025
In this study, we examine the role of AI-driven marketing in international student recruitment, focusing on how perceived usefulness, trust, and personalization influence decision-making. Grounded in the Technology Acceptance Model (TAM), the Trust-Based Decision-Making Model, and the Personalization--Privacy Paradox, we studied how AI-powered…
Descriptors: Foreign Students, Student Recruitment, Trust (Psychology), Privacy
Direct linkBaran, Evrim; AlZoubi, Dana; Morales, Anasilvia Salazar – TechTrends: Linking Research and Practice to Improve Learning, 2023
Computational analysis methods and machine learning techniques introduce innovative ways to capture classroom interactions and display data on analytics dashboards. Automated classroom analytics employ advanced data analysis, providing educators with comprehensive insights into student participation, engagement, and behavioral trends within…
Descriptors: Automation, Learning Analytics, Stakeholders, Computation
Camacho, Vicente Lopez; de la Guia, Elena; Olivares, Teresa; Flores, M. Julia; Orozco-Barbosa, Luis – IEEE Transactions on Learning Technologies, 2020
Increasing school dropout rates are a problem in many educational systems, with student disengagement being one significant factor. Learning analytics is a new field with a key role in educational institutions in the coming years. It may help make strategic decisions to reduce student disengagement. The use of technology in educational…
Descriptors: Learning Analytics, Learner Engagement, Measurement Equipment, Technology Uses in Education
Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Khatri, Puja; Raina, Khushboo; Wilson, Caroline; Kickmeier-Rust, Michael – Assessment & Evaluation in Higher Education, 2020
The selection of career paths and making of academic choices is a difficult and often confusing task for young people. The impact on their lives, however, is enormous as it can determine entire future career possibilities. In India, a general remedy to this stress is that instead of choosing a field of study tailored to individual preferences and…
Descriptors: Learning Analytics, Competence, Career Planning, Computer Simulation
Terrence Narinesingh – Online Submission, 2023
The Strategic Universal Design for Learning Course Development (S-UDLCD™) Faculty & Institutional Evaluation System (2023) is a research-based framework for assessing faculty performance, enhancing student retention, and improving institutional effectiveness. Unlike traditional models, this system integrates predictive analytics, student…
Descriptors: Institutional Evaluation, Evaluation Methods, Pilot Projects, Access to Education
