NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lisa Siegel; Simone Miranda Blom – Environmental Education Research, 2025
In this collaborative autoethnography, we explore and indeed embody the posthuman concept of Karen Barad's agential realism, through our experience of teaching environmental education to pre-service teachers in an online classroom. We document our planning, teaching and evaluation journey, as we defied the apparent irony of online teaching of…
Descriptors: Teaching Methods, Environmental Education, Preservice Teacher Education, Preservice Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Qin Ni; Yifei Mi; Yonghe Wu; Liang He; Yuhui Xu; Bo Zhang – IEEE Transactions on Learning Technologies, 2024
Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…
Descriptors: Cognitive Style, Electronic Learning, Prediction, Identification
Peer reviewed Peer reviewed
Direct linkDirect link
Hayley Glover; Fran Myers; Hilary Collins – Teaching in Higher Education, 2024
This paper explores tensions and ambiguities for UK HE teachers during COVID-19. It analyses changed behaviours and routines for existing hybrid workers experienced in online pedagogy through three core axes of "precarity and security;" "time and perceptions of time;" and "communication." Twelve participants supplied…
Descriptors: Foreign Countries, Higher Education, College Instruction, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Jasmin Breitwieser; Andreas B. Neubauer; Florian Schmiedek; Garvin Brod – npj Science of Learning, 2024
Mobile devices are ubiquitous, but their potential for adaptive educational interventions remains largely untapped. We identify three key promises of mobile interventions for educational research and practice: 1) intervening when it is most beneficial (i.e., "just-in-time adaptivity"), 2) estimating causal effects of interventions in…
Descriptors: Students, Handheld Devices, Computer Assisted Instruction, Educational Technology