Research graph
References from From AI literacy to AI-integrated inquiry-based science teaching: the serial mediating roles of AI-TPACK and science teaching self-efficacy among Chinese pre-service science teachers. Local targets link to admitted publications; unresolved targets remain external evidence.
Preservice science teachers’ preparedness for integrating AI in science teaching: a structural equation modeling approach
10.3926/jotse.3555 · 2025 · External reference
Fostering preservice science teachers’ AI-TPACK competence and reflections through an AI-focused pedagogical learning course
10.3926/jotse.3693 · 2025 · External reference
Towards intelligent-TPACK: an empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education
10.1016/j.chb.2022.107468 · 2023 · External reference
Unresolved reference
1988 · External reference
Examining science education in ChatGPT: an exploratory study of generative artificial intelligence
10.1007/s10956-023-10039-y · 2023 · External reference
Further development of an elementary science teaching efficacy belief instrument: a preservice elementary scale
10.1111/j.1949-8594.1990.tb12048.x · 1990 · External reference
Evaluating structural equation models with unobservable variables and measurement error
10.1177/002224378101800104 · 1981 · External reference
A predictive approach to the random effect model
10.1093/biomet/61.1.101 · 1974 · External reference
Unresolved reference
2025 · External reference
10.1007/978-3-030-80519-7
10.1007/978-3-030-80519-7 · 2021 · External reference
When to use and how to report the results of PLS-SEM
10.1108/ebr-11-2018-0203 · 2019 · External reference
A new criterion for assessing discriminant validity in variance-based structural equation modeling
10.1007/s11747-014-0403-8 · 2015 · External reference
Competencies for teaching with and about artificial intelligence in the natural sciences—DiKoLAN AI
10.1016/j.caeo.2025.100303 · 2025 · External reference
Improving elementary pre-service teachers’ science teaching self-efficacy through garden-based technology integration
10.3390/educsci14010065 · 2024 · External reference
Pre-service science teachers’ perception on using generative artificial intelligence in science education
10.30935/cedtech/16207 · 2025 · External reference
Common method bias in PLS-SEM: a full collinearity assessment approach
10.4018/ijec.2015100101 · 2015 · External reference
What is technological pedagogical content knowledge (TPACK)
10.1177/002205741319300303 · 2013 · External reference
Using ChatGPT for science learning: a study on pre-service teachers’ lesson planning
10.1109/tlt.2024.3401457 · 2024 · External reference
Science educators’ AI literacy and AI usage in teaching: implications for post-qualification programs
10.1016/j.caeo.2026.100376 · 2026 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2026 · External reference
TPACK in the age of ChatGPT and generative AI
10.1080/21532974.2023.2247480 · 2023 · External reference
Development and validation of an AI literacy scale for pre-service teachers in Thailand
10.34190/ejel.24.1.3990 · 2025 · External reference
Pre-service science teachers’ intention to use generative artificial intelligence in inquiry-based teaching
10.1007/s10956-024-10159-z · 2025 · External reference
Enhancing pre-service teachers’ science teaching efficacy beliefs and attitudes toward science using the flipped classroom model
10.3389/feduc.2025.1512320 · 2025 · External reference
Generative AI in pre-service science teacher education: a systematic review
10.25082/amler.2025.02.007 · 2025 · External reference
Cross-validatory choice and assessment of statistical predictions
10.1111/j.2517-6161.1974.tb00994.x · 1974 · External reference
From TPACK to DPACK: the “digitality-related pedagogical and content knowledge”-model in STEM-education
10.3390/educsci13080769 · 2023 · External reference
