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Vargas-Rodríguez, Yolanda Marina; Obaya Valdiva, Adolfo Eduardo; Montano-Osorio, Carlos; Lima-Vargas, Alvaro E.; Pacheco-Ortin, Sandy M.; Vargas-Rodriguez, Guadalupe I. – Online Submission, 2020
A problem-based online learning (PBe-L) teaching sequence was designed for calculating the shelf life (expiration date) of an on-site solution of refrigerated drug as part of activities of a Pharmaceutical Physical Chemistry course of Pharmacy major at FES Cuautitlán UNAM in Mexico. The teacher presents students the problem, a group collaborative…
Descriptors: Electronic Learning, Problem Based Learning, Preservation, Pharmaceutical Education
Koper, Rob – International Review of Research in Open and Distributed Learning, 2015
How do (potential) students differ in their preferences for the organization of online and distance courses and programs, can these differences be grouped into preference profiles, and are there any associations between these profiles and variables, such as achievement and dropout, that are relevant for the promotion and design of online and…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, Online Courses
Goyal, Ela; Purohit, Seema; Bhagat, Manju – International Journal on E-Learning, 2013
Information and communication technology (ICT) which includes radio, television and newer digital technology such as computers and the internet, are potentially powerful tools for extending educational opportunities, formal and non-formal, to one and all. It provides opportunities to deploy innovative teaching methodologies and interesting…
Descriptors: Foreign Countries, Stakeholders, Information Technology, Teaching Methods
Toprakci, Erdal – Online Submission, 2007
This study aims at revealing the student profiles in terms of their use of the Internet for general and educational needs in accordance. In this study, the students were given questionnaires to determine their purpose of using the Internet, the location and the times they use it and also related information about the use of Internet. They were…
Descriptors: Student Attitudes, Statistical Analysis, Internet, College Students
Peer reviewedAlic, John A.; Harris, Martha Caldwell – Monthly Labor Review, 1986
Semiskilled and "unskilled" workers in semiconductors, computer manufacturing, and consumer electronics industries are more likely than other workers to lose jobs because of technology, imports, and offshore production. However, advances in technology do tend to create jobs for skilled workers. (CT)
Descriptors: Electronics, Employment Patterns, Job Development, Job Skills
Lin, Cheng-Yao – International Journal for Technology in Mathematics Education, 2008
This study explored the efficacy of web-based instruction in topics in elementary school mathematics in fostering teachers' confidence and competence in using instructional technology, and thereby promoting more positive attitudes toward using computers and Internet resources in the mathematics classroom. The results indicated that students who…
Descriptors: Control Groups, Elementary School Mathematics, Internet, Mathematics Instruction
Pilatou, Vassiliki; Stavridou, Heleni – International Journal of Science Education, 2004
The aim of this study was to detect primary students' conceptions about the origin and conveyance of electric current and about the connection of household electric appliances. In total, 383 students (aged 11-12) from the town of Volos, Greece, participated; 213 of them drawn from experimental classes and 170 from control groups. The results…
Descriptors: Elementary Education, Elementary School Students, Electronic Equipment, Science Instruction
Duggan, Michael B. – Journal of College Student Retention: Research, Theory and Practice, 2004
This study addressed the influence of social capital factors on the first-year persistence of beginning first- and second-generation four-year college students. First-generation students were those students whose parents had never attended college. Second-generation students had at least one parent who attended college. A case was made for…
Descriptors: Predictor Variables, Parent Background, Educational Attainment, Social Capital

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