Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 4 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Factor Analysis | 4 |
| Factor Structure | 4 |
| Learning Motivation | 4 |
| Test Validity | 4 |
| Foreign Countries | 3 |
| Measures (Individuals) | 3 |
| Test Construction | 3 |
| Artificial Intelligence | 2 |
| College Students | 2 |
| Goodness of Fit | 2 |
| Self Efficacy | 2 |
| More ▼ | |
Source
| Australasian Journal of… | 1 |
| British Journal of Guidance &… | 1 |
| Education and Information… | 1 |
| European Journal of Education | 1 |
Author
Publication Type
| Journal Articles | 4 |
| Reports - Research | 4 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Secondary Education | 1 |
Audience
Location
| Australia | 1 |
| Jordan | 1 |
| United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Academic Motivation Scale | 1 |
What Works Clearinghouse Rating
Kotera, Yasuhiro; Conway, Elaine; Green, Pauline – British Journal of Guidance & Counselling, 2023
Academic motivation is important to students' mental health and performance. One established measure is the Academic Motivation Scale (AMS), comprising 28 items. AMS assesses intrinsic motivation, extrinsic motivation, and amotivation, which are further categorised into seven subscales. One weakness of AMS is its length. In this study, we…
Descriptors: Test Construction, Test Validity, Factor Analysis, Learning Motivation
Yu-Yin Wang; Yu-Wei Chuang – Education and Information Technologies, 2024
With the development of artificial intelligence (AI) applications, it has become critical for scholars, educators and practitioners to understand an individual's perceived self-efficacy regarding the use of AI technologies/products. Understanding users' subsequent behaviors toward the advancement of AI technology is also critical. Despite the…
Descriptors: Artificial Intelligence, Self Efficacy, Test Construction, Test Validity
Ayoub Hamdan Al-Rousan; Mohammad Nayef Ayasrah; Mohamad Ahmad Saleem Khasawneh; Lubna Mahmoud Obeidat; Saah Saleh Obeidat – European Journal of Education, 2025
This study aimed to develop and validate the Gamified AI Learning Engagement and Motivation Scale (GALEMS) to assess secondary school students' motivation and engagement within AI-enhanced gamified learning environments in Jordan. The research employed a sequential exploratory mixed methods design grounded in Self-Determination Theory and Flow…
Descriptors: Artificial Intelligence, Technology Uses in Education, Gamification, Test Construction
Reyna, Jorge; Hanham, Jose; Vlachopoulos, Panos; Meier, Peter – Australasian Journal of Educational Technology, 2019
This research is a validation study of a survey instrument to assess student self-regulation which aims to fill a methodological gap by capturing self-regulation processes while completing learner-generated digital media (LGDM) assignments. For this purpose, the study developed and validated a self-regulation learning questionnaire. Data were…
Descriptors: Factor Analysis, Test Validity, Questionnaires, Factor Structure

Peer reviewed
Direct link
