Developing self-regulated artificial intelligence learning (SRAIL) Student Attitudes Scale
Bibliographic Data
| ID | 7145665 |
|---|---|
| Authors | Ayşegül Mazı (0000-0003-4654-3118, MİLLİ EĞİTİM BAKANLIĞI, corresponding author), Ali Mazı (0000-0001-9188-8583, MİLLİ EĞİTİM BAKANLIĞI) |
| Year | 2025 |
| Volume | 258 |
| Pages | 105227-105227 |
| Publication date | 2025-07-03 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2025.105227 |
| PMID | 40614433 |
| OpenAlex | W4411991821 |
| Language | EN |
| Citations received | 3 |
| References cited | 56 |
This research aims to develop a valid and reliable scale for measuring students' attitudes towards integrating artificial intelligence (AI) in self-regulated learning (SRL). In this study, 250 children from the Ankara province in Turkey participated. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to analyse the data. The findings indicate that the scale consists of 17 items and two dimensions. The 17-item scale comprised two dimensions: Academic success (9 items, performance with AI, etc.) and study style (8 items, time management, etc.). Furthermore, the study determined the composite reliability index (CRI) as.86, thus indicating that the scale was highly valid and reliable. It is recommended that it be implemented among children from diverse countries and across various age groups
Physics · Scale (ratio · Innovative Teaching and Learning Methods · Online Learning and Analytics · Psychology · Technology-Enhanced Education Studies
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| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |