TY  - CHAP
A1  - Gonnermann, Jana
A1  - Brandenburger, Bonny
A1  - Vladova, Gergana
A1  - Gronau, Norbert
ED  - Bui, Tung X.
T1  - To what extent can individualisation in terms of different types of mode improve learning outcomes and learner satisfaction?
BT  - a pre-study
T2  - Proceedings of the 56th Annual Hawaii International Conference on System Sciences January 3-6, 2023
N2  - With the latest technological developments and associated new possibilities in teaching, the personalisation of learning is gaining more and more importance. It assumes that individual learning experiences and results could generally be improved when personal learning preferences are considered. To do justice to the complexity of the personalisation possibilities of teaching and learning processes, we illustrate the components of learning and teaching in the digital environment and their interdependencies in an initial model. Furthermore, in a pre-study, we investigate the relationships between the learner's ability to (digital) self-organise, the learner’s prior- knowledge learning in different variants of mode and learning outcomes as one part of this model. With this pre-study, we are taking the first step towards a holistic model of teaching and learning in digital environments.
KW  - advances in teaching and learning technologies
KW  - digital learning
KW  - digital teaching
KW  - experimental design
KW  - personalised learning
KW  - teaching and learning model
Y1  - 2023
SN  - 978-0-9981331-6-4
SP  - 123
EP  - 132
PB  - Department of IT Management Shidler College of Business University of Hawaii
CY  - Honolulu, HI
ER  -