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Yang, Tzu-Chi; Chang, Chung-Yuan – Education and Information Technologies, 2023
Enabling college graduates to achieve career success is increasingly considered a major responsibility of universities. Many studies have developed models of predicting students' career decisions and have sought to provide appropriate treatments or early support for students to achieve this goal. Most studies, however, have focused on using…
Descriptors: Data Use, Decision Making, Computer Mediated Communication, Social Media
Lynnette Brice; Alison Harrison; Alan Cadwallader – Journal of Open, Flexible and Distance Learning, 2023
The purpose of this paper is to share insights gained from the discovery, design, and delivery phases of creating a three-tiered model of non-academic learning support in open, distance, and flexible learning (ODFL): "Learner Engagement and Success Services (LESS)", at Open Polytechnic | Te Pukenga, New Zealand. Presented as a case…
Descriptors: Ethics, Learning Analytics, Intervention, Foreign Countries
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
Diane P. Fabian – ProQuest LLC, 2021
The patient portal is an electronic repository of health information, including doctor's notes, laboratory test results, and diagnostic imaging reports. There are limited studies that explore how individuals make sense of their health information, and use that understanding to increase health literacy. Education leaders should consider the ways…
Descriptors: Community Colleges, Patients, Allied Health Occupations Education, Computer Mediated Communication
Miller, Cynthia; Cohen, Benjamin; Yang, Edith; Pellegrino, Lauren – MDRC, 2020
College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…
Descriptors: College Students, Academic Advising, Technology Uses in Education, Faculty Advisers

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