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Schwarzenberg, Pablo; Navon, Jaime; Nussbaum, Miguel; Pérez-Sanagustín, Mar; Caballero, Daniela – Journal of Computing in Higher Education, 2018
The flipped classroom has shown a positive effect on academic performance and student satisfaction. However, there are relatively few studies that help us understand when or why this method has a positive effect on students, so as to aid the design of a flipped class. In this study, an instrument for assessing the student learning experience in…
Descriptors: Learning Experience, Blended Learning, Academic Achievement, Student Satisfaction
Lamberti, Fabrizio; Sanna, Andrea; Paravati, Gianluca; Carlevaris, Gilles – IEEE Transactions on Learning Technologies, 2014
Assessment is a delicate task in the overall teaching process because it may require significant time and may be prone to subjectivity. Subjectivity is especially true for disciplines in which perceptual factors play a key role in the evaluation. In previous decades, computer-based assessment techniques were developed to address the…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Grading
Awuah, Lawrence J. – Journal of Instructional Research, 2015
The future of higher education is likely to be driven by to the willingness to adapt and grow with the use of technologies in teaching, learning, and research. Google Apps for Education (GAFE) is a powerful cloud-computing solution that works for students regardless of their location, time, or the type of device being used. GAFE is used by…
Descriptors: Courseware, Higher Education, Computer Software, Computer Software Reviews
Ezen-Can, Aysu; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2015
The tremendous effectiveness of intelligent tutoring systems is due in large part to their interactivity. However, when learners are free to choose the extent to which they interact with a tutoring system, not all learners do so actively. This paper examines a study with a natural language tutorial dialogue system for computer science, in which…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Computer Science Education, Problem Solving
Downey, James – Journal of Information Systems Education, 2011
Given the diminishing number of Management Information Systems (MIS) majors, an understanding of the factors which influence student choice of major is crucial. It has been noted in many previous studies that interest in a major and career significantly influences the student's choice of college major; indeed, in most studies, it is the strongest…
Descriptors: Majors (Students), Vocational Interests, Multiple Regression Analysis, Influences
Hefford, Nigel A.; Keef, Stephen P. – Journal of Educational Computing Research, 2004
This analysis of gender performance differences in a first-level New Zealand university course in computer science is predicated on the model of academic ability proposed by Charles Spearman, the eminent educational psychologist and statistician. The regression model is based on the theoretical constructs of general academic ability and specific…
Descriptors: Foreign Countries, Academic Ability, Multiple Regression Analysis, Evaluation Methods
Vodounon, Maurice A. – Journal of Computers in Mathematics and Science Teaching, 2004
The primary purpose of this study was to analyze different perceptions displayed by novice programmers in the C++ programming language, and determine if modularization ability could be improved by an instructional treatment that concentrated on solving computer programs from previously existing modules. This study attempted to answer the following…
Descriptors: College Students, Academic Achievement, Student Attitudes, Programming Languages