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Direct linkIsmail, Azlan; Mutalib, Sofianita; Haron, Haryani – Education and Information Technologies, 2023
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…
Descriptors: Data Science, Graduate Study, Masters Programs, Graduate Students
Download full textZhao, Yijun; Xu, Qiangwen; Chen, Ming; Weiss, Gary M. – International Educational Data Mining Society, 2020
Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…
Descriptors: Grade Prediction, Data Analysis, Masters Programs, Admission Criteria
Jafar, Musa J.; Babb, Jeffry; Abdullat, Amjda – Information Systems Education Journal, 2017
As a phenomenon of interest, impact, and import, there is little doubt that the pervasive expansion of data is upon us as Information Systems educators. Concerns and topics such as Data Science, Data Analytics, Machine Learning, Business Analytics, and Business Intelligence are now ubiquitous and often situated as being the "next big…
Descriptors: Data Analysis, Information Systems, Computer Science Education, College Curriculum
Cowan, John E.; Menchaca, Michael P. – Distance Education, 2014
This study reports an analysis of 10?years in the life of the Internet-based Master in Educational Technology program (iMET) at Sacramento State University. iMET is a hybrid educational technology master's program delivered 20% face to face and 80% online. The program has achieved a high degree of success, with a course completion rate of 93% and…
Descriptors: Communities of Practice, Educational Technology, Masters Programs, Blended Learning
Lundahl, Brad W. – Journal of Teaching in Social Work, 2008
To complement traditional learning activities in a masters-level research methodology course, social work students worked on a formal research project which involved: designing the study, constructing measures, selecting a sampling strategy, collecting data, reducing and analyzing data, and finally interpreting and communicating the results. The…
Descriptors: Student Attitudes, Research Projects, Research Methodology, Learning Strategies
Peer reviewedBrown, Douglas T.; Minke, Kathleen M. – American Psychologist, 1986
The nature of graduate training in school psychology is described. The article covers the following areas: (1) historical perspective; (2) current training trends; and (3) curriculum analysis of doctoral and special programs. Implications of the data are discussed and suggestions are made for change. (PS)
Descriptors: Curriculum Evaluation, Data Analysis, Data Collection, Doctoral Programs
Shambaugh, Neal; Magliaro, Susan G. – 2001
This 5-year study of 2 instructors teaching a master's level instructional design course used developmental research to systematically examine a reflective teaching approach. The reflexive teaching model is described. Eight data sources across six deliveries of the course were analyzed in terms of design decisions (the teaching model), model…
Descriptors: Data Analysis, Educational Objectives, Educational Research, Graduate Study
Peer reviewedWeiler, William C. – Educational Evaluation and Policy Analysis, 1991
The effect of indebtedness (undergraduate loan burden) after college graduation on the decision to pursue a graduate degree was studied for 899 individuals from the High School and Beyond study. Level of undergraduate debt was not a significant choice determinant. Some limitations of the methodology are discussed. (SLD)
Descriptors: Academic Persistence, College Graduates, Data Analysis, Decision Making
