Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 3 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| Acta Didactica Napocensia | 1 |
| CBE - Life Sciences Education | 1 |
| Journal of Educational… | 1 |
| Journal of Research on… | 1 |
| Malaysian Journal of Learning… | 1 |
| ProQuest LLC | 1 |
Author
Publication Type
| Journal Articles | 5 |
| Reports - Research | 5 |
| Dissertations/Theses -… | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 2 |
| Secondary Education | 2 |
| High Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Motivated Strategies for… | 6 |
| Personal Report of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkAdkins-Jablonsky, Sarah J.; Shaffer, Justin F.; Morris, J. Jeffrey; England, Ben; Raut, Samiksha – CBE - Life Sciences Education, 2021
Anxiety can impact overall performance and persistence in college. Student response systems (SRSs), real-time active-learning technologies used to engage students and gauge their understanding, have been shown to elicit anxiety for some students. Kahoot! is an SRS technology that differs from others in that it involves gamification, the use of…
Descriptors: Audience Response Systems, Anxiety, Introductory Courses, Biology
Download full textOnivehu, Adams Ogirima; Adegunju, Adewale Kabir; Ohawuiro, Emilia Onyinyechi; Oyeniran, Juliana Bunmi – Acta Didactica Napocensia, 2018
This study investigated the relationship among Information Communication Technology utilization, self-regulated learning and academic performance of prospective teachers. The ex-post facto design (correlation method) was employed for the study. The research subjects were 580 prospective teachers who were drawn using multi-stage sampling technique…
Descriptors: Correlation, Information Technology, Information Utilization, Academic Achievement
Abdullah, Melissa Ng Lee Yen – Malaysian Journal of Learning and Instruction, 2016
Purpose: This study aimed to examine the interaction effects of gender and motivational beliefs on students' self-regulated learning. Specifically, three types of motivational beliefs under the Expectancy-Value Model were examined, namely self-efficacy, control beliefs and anxiety. Methodology: A quantitative correlational research design was used…
Descriptors: Learning Strategies, Questionnaires, Statistical Analysis, Information Technology
Packer, Doreen L. – ProQuest LLC, 2012
To succeed in today's information-rich society, students must utilize technology effectively. Online tools present unique opportunities to create and share knowledge. It was unclear if the use of these tools impacted student motivation, since many teachers were not incorporating technology of interest into lessons. Another concern was the…
Descriptors: Technology Uses in Education, Educational Technology, Cooperative Learning, Student Motivation
Zogheib, Salah – Journal of Educational Technology Systems, 2014
As the majority of educational research has focused on preservice teachers' computer use for "educational purposes," the question remains: Do preservice teachers use computer technology for daily life activities and encounters? And do preservice teachers' personality traits and motivational beliefs related to computer training provided…
Descriptors: Preservice Teachers, Computer Use, Computer Uses in Education, Educational Technology
Edens, Kellah M. – Journal of Research on Technology in Education, 2008
This research compares a behaviorally based approach for using electronic student response system (SRS) technology with a metacognitive-oriented approach to determine effects on attendance, preparation for class, and achievement. Also examined are the interaction effects of pedagogical approach with self-regulatory and motivational characteristics…
Descriptors: Student Reaction, Operant Conditioning, Goal Orientation, Student Motivation
