This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang +11 more
wiley +1 more source
Pragmatic clustered randomised control trial to evaluate a self-regulated learning intervention to be implemented in South Australian primary schools-study protocol. [PDF]
Brinkman SA +9 more
europepmc +1 more source
Resilience and online learning emotional engagement among college students in the digital age: a perspective based on self-regulated learning theory. [PDF]
Ge D.
europepmc +1 more source
The impact of teacher feedback on medical students' self-regulated learning: a serial mediation model of teacher-student interaction and sense of school belonging. [PDF]
Tian J, Hui Z, Lei H.
europepmc +1 more source
Self-Regulated Learning Assessment in Young Soccer Players: Beyond Competitive Levels. [PDF]
Trecroci A +6 more
europepmc +1 more source
Exploring How AI Literacy and Self-Regulated Learning Relate to Student Writing Performance and Well-Being in Generative AI-Supported Higher Education. [PDF]
Shi J, Liu W, Hu K.
europepmc +1 more source
Development and validation of the AI-enhanced Self-Regulated Learning (AI-SRL) scale
Mehmet Ayaz, Fatih Karataş, Erkan Yüce
openalex +2 more sources
Correction: Workplace learning: the bidirectional relationship between stress and self-regulated learning in undergraduates. [PDF]
Marsch S, Yanagida T, Steinberg E.
europepmc +1 more source
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Students become experts in their own learning through the process of self-regulated learning (SRL). Neither being a mental capacity nor a performance dexterity, self-regulation is the self-directed procedure through which learners translate their psychological capacities into task-related skills in several situations, such as academics, athletics ...
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