Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 9 |
Descriptor
| Hypothesis Testing | 9 |
| Influence of Technology | 9 |
| Technology Uses in Education | 9 |
| Pretests Posttests | 5 |
| Undergraduate Students | 5 |
| Statistical Analysis | 4 |
| Foreign Countries | 3 |
| Teaching Methods | 3 |
| Academic Achievement | 2 |
| Audience Response Systems | 2 |
| Correlation | 2 |
| More ▼ | |
Source
Author
| Anderson, Scott | 1 |
| Bakkabulindi, F. E. K. | 1 |
| Cui, Zhuang | 1 |
| Eierman, Michael A. | 1 |
| Enefaa, Bestman Briggs… | 1 |
| Goss, Allen | 1 |
| Inglis, Mike | 1 |
| Iversen, Jakob H. | 1 |
| Kabasiita, J. | 1 |
| Kaplan, Alan | 1 |
| Kenny, Robert F. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 8 |
| Reports - Research | 8 |
| Tests/Questionnaires | 2 |
| Dissertations/Theses -… | 1 |
Education Level
| Higher Education | 7 |
| Postsecondary Education | 4 |
| Elementary Secondary Education | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| California | 1 |
| Canada | 1 |
| Nigeria | 1 |
| Pennsylvania | 1 |
| Uganda | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Iversen, Jakob H.; Eierman, Michael A. – Journal of Education and Learning, 2018
This study continues a long running effort to examine collaborative writing and editing tools and the factors that impact Task-Technology Fit and Technology Acceptance. Previous studies found that MS Word/email performed better than technologies such as Twiki, Google Docs, and Office Live. The current study seeks to examine specifically the impact…
Descriptors: Influence of Technology, Collaborative Writing, Undergraduate Students, Computer Mediated Communication
Anderson, Scott; Goss, Allen; Inglis, Mike; Kaplan, Alan; Samarbakhsh, Laleh; Toffanin, Melissa – Journal of Further and Higher Education, 2018
We studied the impact of clickers, also known as electronic student response systems, on the performance of students on two undergraduate finance courses. Consistent with some of the recent literature, we found that clickers have very little impact on student performance, as measured by final course grades. Further, we found that clickers do not…
Descriptors: Audience Response Systems, Undergraduate Students, Finance Occupations, Business Administration Education
Oluwuo, S. O.; Enefaa, Bestman Briggs Anthonia – Journal of Education and Practice, 2016
The study investigated the application of education information management support tools in the promotion of teaching/learning and management of students' performance in federal universities in the South-South zone of Nigeria. Two research questions and two null hypotheses guided the study. The study adopted a descriptive survey design. The…
Descriptors: Foreign Countries, Management Information Systems, Technology Integration, Technology Uses in Education
Zhuang, Weiling; Xiao, Qian – Journal of Education for Business, 2018
The authors examine factors influencing student active learning and the ensuing class learning experience in the context of applying technologies in the classroom. The results suggest that the psychological benefit directly and indirectly influences class learning experience. In addition, the functional benefit only indirectly influences class…
Descriptors: Active Learning, Technology Uses in Education, Influence of Technology, Learning Experience
Bakkabulindi, F. E. K.; Mugagga, A. M.; Shopi, J. M.; Kabasiita, J. – African Higher Education Review, 2015
This survey sought to establish how performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC) related to the use of ICT by undergraduate students in the School of Education at Makerere University. Descriptive analysis was done using percentages and means, while hypotheses were tested using Multiple…
Descriptors: Foreign Countries, Undergraduate Students, Technology Uses in Education, Schools of Education
Stevens, Brian – ProQuest LLC, 2014
Technology is an increasing part in the lives of junior high students, but little is known about how this technology affects their reading. Reading comprehension from e-books is compared to reading comprehension from conventional print books with junior high students. The problem is that students may be reading from a medium that is less than the…
Descriptors: Electronic Learning, Reading Comprehension, Books, Electronic Publishing
Xu, Weili; Zhang, Yuchen; Su, Cheng; Cui, Zhuang; Qi, Xiuying – Statistics Education Research Journal, 2014
This study explored threshold concepts and areas of troublesome knowledge among students enrolled in a basic biostatistics course at the university level. The main area of troublesome knowledge among students was targeted by using technology to improve student learning. A total of 102 undergraduate students who responded to structured…
Descriptors: Influence of Technology, Statistics, Undergraduate Students, Questionnaires
Stanley, Denise – Journal of Education for Business, 2013
Larger classes are often associated with lower student achievement. The author tested the hypothesis that the introduction of personal response systems significantly improves scores in a 250-seat classroom, through the channels of improved attendance and engagement. She focused on how continuous participation with the technology could change…
Descriptors: Influence of Technology, Large Group Instruction, Hypothesis Testing, Learner Engagement
Kenny, Robert F. – Journal of Media Literacy Education, 2011
There are those who agree with Tom Pettitt that we are entering into a period where text based literacy is no longer the only measure of intelligence, nor is it the only form of valuable communications and knowledge acquisition for today's media-centric children. As Prensky states, today's youth speak "digital" as their primary language. While his…
Descriptors: Teaching Methods, Hypothesis Testing, Influence of Technology, Media Literacy

Peer reviewed
Direct link
