Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Information Technology | 3 |
Predictor Variables | 3 |
College Students | 2 |
Correlation | 2 |
Foreign Countries | 2 |
Academic Achievement | 1 |
Cognitive Style | 1 |
Computer Literacy | 1 |
Computer Uses in Education | 1 |
Data | 1 |
Dropout Rate | 1 |
More ▼ |
Source
Online Submission | 3 |
Author
Dela Cruz, Arnold P. | 1 |
Luciano, Ruth G. | 1 |
Merkys, Gediminas | 1 |
Olipas, Cris Norman P. | 1 |
Sandler, Martin E. | 1 |
Saparniene, Diana | 1 |
Saparnis, Gintaras | 1 |
Publication Type
Reports - Research | 3 |
Speeches/Meeting Papers | 2 |
Journal Articles | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
High Schools | 1 |
Audience
Location
Lithuania | 1 |
Philippines | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Luciano, Ruth G.; Olipas, Cris Norman P.; Dela Cruz, Arnold P. – Online Submission, 2022
Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…
Descriptors: Foreign Countries, Information Technology, College Students, Dropout Rate
Sandler, Martin E. – Online Submission, 2010
Effective assessment of teaching and learning with technology requires a capacity to map learning outcomes. Student attitudes of the use of IT are measured in a structural equation model derived from an instrument based on the principles of undergraduate practice of Chickering and Ehrmann (1996). Institutional and background data are included. By…
Descriptors: Undergraduate Study, Student Attitudes, Academic Achievement, Path Analysis
Saparniene, Diana; Merkys, Gediminas; Saparnis, Gintaras – Online Submission, 2006
Purpose: The paper deals with the study of students' computer literacy one of the purposes being demonstration the impact of the cognitive and non-cognitive personality traits (attention, verbal and non-verbal intelligence, emotional-motivational relationship with computer, learning strategies, etc.) on the quality of computer literacy.…
Descriptors: Program Effectiveness, Computer Literacy, Psychometrics, Personality Traits