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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Hoic-Bozic, Natasa; Dlab, Martina Holenko; Mornar, Vedran – IEEE Transactions on Education, 2016
Blended learning models that combine face-to-face and online learning are of great importance in modern higher education. However, their development should be in line with the recent changes in e-learning that emphasize a student-centered approach and use tools available on the Web to support the learning process. This paper presents research on…
Descriptors: Blended Learning, Models, Web 2.0 Technologies, Hypermedia
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Lagarto, José Reis; Mineiro, Ana; Pereira, Joana – Journal of Postsecondary Education and Disability, 2013
This article results from a case study with exploratory traits where the implementation of a graduate degree in Portuguese Sign Language at the Portuguese Catholic University is analysed. With this study we intend to determine whether distance learning models using blended learning strategies are adequate for deaf students at the university level.…
Descriptors: Deafness, Distance Education, Graduate Students, Case Studies
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Naaj, Mahmoud Abou; Nachouki, Mirna; Ankit, Ahmed – Journal of Information Technology Education: Research, 2012
Blended learning combines multiple delivery media that are designed to complement each other and promote learning and application-learned behavior (Smith & Dillon, 1999). This article reports on a study conducted in the College of Information Technology to evaluate levels of student' satisfaction with blended learning. The particular blend of…
Descriptors: Blended Learning, Participant Satisfaction, Student Attitudes, Information Technology