NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 301 to 315 of 3,693 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Karamouzis, Polikarpos; Athanassiades, Elias – Religious Education, 2011
The correlation of student teachers' religiosity with their views on the religious education course that they are called on to teach in Greek public schools is the subject treated in the present survey. The five main features of religiosity, that is, (1) religious faith, (2) religious knowledge, (3) religious experience, (4) participation in a…
Descriptors: Student Teachers, Education Courses, Multivariate Analysis, Data Processing
Ewell, Peter; L'Orange, Hans – State Higher Education Executive Officers, 2009
A rapidly changing global economy, shifting demographics, and concerns about our ability to maintain a competitive workforce have focused national attention on the educational systems of America's states, highlighting their critical role in ensuring a productive and creative future for our country. As a result, Americas colleges and universities…
Descriptors: Higher Education, Elementary Secondary Education, Information Management, Design Requirements
Dong, Xiao – ProQuest LLC, 2010
Workflow technology has emerged as an eminent way to support scientific computing nowadays. Supported by mature technological infrastructures such as web services and high performance computing infrastructure, workflow technology has been well adopted by scientific community as it offers an effective framework to prototype, modify and manage…
Descriptors: Work Environment, Data Processing, Pattern Recognition, Semantics
Peer reviewed Peer reviewed
Direct linkDirect link
Pistilli, Matthew D.; Arnold, Kimberly E. – About Campus, 2010
This article discusses how Purdue University is changing the academic behavior of struggling students. At Purdue, they've developed Signals as a means of helping students better understand where they stand gradewise early enough so that they can seek help and raise their grade or drop the course without the penalty of a failing grade. They knew…
Descriptors: Feedback (Response), Grades (Scholastic), Academic Achievement, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Powell, Cynthia B.; Mason, Diana S. – Journal of Science Education and Technology, 2013
Chemistry instructors in teaching laboratories provide expert modeling of techniques and cognitive processes and provide assistance to enrolled students that may be described as scaffolding interaction. Such student support is particularly essential in laboratories taught with an inquiry-based curriculum. In a teaching laboratory with a high…
Descriptors: Cognitive Processes, Outcome Measures, Chemistry, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue – Journal of Information Systems Education, 2012
The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…
Descriptors: Computers, Schools, Foreign Countries, Computer Science
Peer reviewed Peer reviewed
Direct linkDirect link
Volkwyn, Trevor S.; Allie, Saalih; Buffler, Andy; Lubben, Fred – Physical Review Special Topics - Physics Education Research, 2008
Conventional physics laboratory courses generally include an emphasis on increasing students' ability to carry out data analysis according to scientific practice, in particular, those aspects that relate to measurement uncertainty. This study evaluates the efficacy of the conventional approach by analyzing the understanding of measurement of…
Descriptors: Majors (Students), Laboratory Manuals, Data Collection, Data Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Boyer, Kristy Elizabeth; Phillips, Robert; Ingram, Amy; Ha, Eun Young; Wallis, Michael; Vouk, Mladen; Lester, James – International Journal of Artificial Intelligence in Education, 2011
Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective tutorial strategies, but extracting them is a challenge because of the richness of human dialogue. This article addresses that challenge through a machine learning…
Descriptors: Markov Processes, Intelligent Tutoring Systems, Tutoring, Program Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
D'Allegro, Mary Lou; Kerns, Stefanie – Journal of College Student Retention: Research, Theory & Practice, 2011
Data mining and statistical analyses at a less selective institution reveal that the relationships between parents' educational level and some first year success indicators are not linear. Specifically, students who report that either parent or guardian(s) have an educational level beyond a baccalaureate degree or do not report parent education…
Descriptors: First Generation College Students, Educational Attainment, Data Processing, Pattern Recognition
Peer reviewed Peer reviewed
Direct linkDirect link
Banta, Trudy W., Ed. – Assessment Update, 2012
This issue of "Assessment Update" presents the following articles: (1) Expectations for Assessment Reports: A Descriptive Analysis (Keston H. Fulcher, Matthew Swain, and Chris D. Orem); (2) Editor's Notes: A Surprising Reaction (Trudy W. Banta); (3) Getting SMART with Assessment: ACTION Steps to Institutional Effectiveness (Eric Daffron…
Descriptors: Higher Education, Educational Practices, Educational Trends, Educational Development
Peer reviewed Peer reviewed
Direct linkDirect link
Grover, Lovleen Kumar; Mehra, Rajni – Journal of Statistics Education, 2008
The field of Data Mining like Statistics concerns itself with "learning from data" or "turning data into information". For statisticians the term "Data mining" has a pejorative meaning. Instead of finding useful patterns in large volumes of data as in the case of Statistics, data mining has the connotation of searching for data to fit preconceived…
Descriptors: Statistics, Data Processing, Differences, Mathematics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Yu, Chong Ho; Digangi, Samuel; Jannasch-Pennell, Angel Kay; Kaprolet, Charles – Online Journal of Distance Learning Administration, 2008
The efficacy of online learning programs is tied to the suitability of the program in relation to the target audience. Based on the dataset that provides information on student enrollment, academic performance, and demographics extracted from a data warehouse of a large Southwest institution, this study explored the factors that could distinguish…
Descriptors: Online Courses, Data Collection, Research Methodology, Profiles
US Department of Education, 2008
This report presents the results of an audit by the Office of the Inspector General to determine whether the Department of Education's Office of Elementary and Secondary Education (OESE) provided sufficient oversight of graduation and dropout rates submitted by states in their Consolidated State Performance Reports to ensure the rates were…
Descriptors: Agencies, Federal Government, Audits (Verification), Inspection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lazarony, Paul J.; Driscoll, Donna A. – American Journal of Business Education, 2011
Researchers are often distressed to discover that the data they wanted to use in their landmark study is not configured in a way that is usable by a Statistical Analysis Software Package (SASP). For example, the data needed may come from two or more sources and it may not be clear to the researcher how to get them combined into one analyzable…
Descriptors: Data Processing, Statistical Analysis, Database Management Systems, Experiential Learning
Pages: 1  |  ...  |  17  |  18  |  19  |  20  |  21  |  22  |  23  |  24  |  25  |  ...  |  247