1 |
Challenges and responses: A Complex Dynamic Systems approach to exploring language teacher agency in a blended classroom
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Eliciting positive emotion through strategic responses to COVID-19 crisis: evidence from the tourism sector
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Voice for oneself: Self-interested voice and its antecedents and consequences
|
|
|
|
BASE
|
|
Show details
|
|
6 |
The trans-ancestral genomic architecture of glycemic traits.
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Into the Real World: Autonomous and Integrated Chinese Language Learning Through a 3D Immersive Experience
|
|
|
|
Abstract:
Abstract To find ways to promote out-of-class autonomous Chinese language learning with technology, the Chinese programme at a regional Australian university provided its undergraduate Chinese as a foreign language (CFL) student with an additional learning opportunity in order to practice and thereby reinforce communicative language skills in an extant immersive 3D multiuser virtual world (3D MUVW) created in Second Life (SL), Chinese Island (CI) (https://www.youtube.com/watch? v=3EYZueyp1go&t=2s) developed by a major Australian urban university. This chapter presents a semester-long pilot study that aimed to investigate students perceptions of this learning resource, particularly to explore whether this integrated approach can assist Chinese language educators in fostering autonomous learning out of the classroom. Through analysis of individual and group interviews, the study found that the resources afforded by CI were beneficial for students learning of Chinese language and culture beyond the classroom. In addition, the findings could inform Chinese language educators about how to better prepare students for intensive and immersive study abroad. The chapter concludes with pedagogical implications and directions for further research.
|
|
Keyword:
Chinese languages; Communication and Culture; Language; Language studies
|
|
URL: http://ecite.utas.edu.au/142557 https://doi.org/10.1007/978-981-16-3416-1
|
|
BASE
|
|
Hide details
|
|
8 |
The trans-ancestral genomic architecture of glycemic traits.
|
|
|
|
In: Nature genetics, vol. 53, no. 6, pp. 840-860 (2021)
|
|
BASE
|
|
Show details
|
|
9 |
Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Non-native children's automatic speech recognition: The INTERSPEECH 2020 shared task ALTA systems
|
|
Knill, Katherine; Wang, L; Wang, Y. - : ISCA, 2020. : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020
|
|
BASE
|
|
Show details
|
|
11 |
Study of central exclusive [Image: see text] production in proton-proton collisions at [Formula: see text] and 13TeV
|
|
|
|
In: Eur Phys J C Part Fields (2020)
|
|
BASE
|
|
Show details
|
|
12 |
Enhancing the learning of multi-level undergraduate Chinese language with a 3D immersive experience - an exploratory study
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Internal Meanings of the Language in Russian-Chinese Translation ... : Передача внутрилингвистических значений в русско-китайском переводе ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Exploiting future word contexts in neural network language models for speech recognition
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Impact of ASR performance on free speaking language assessment ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Finding common ground between United Kingdom based and Chinese approaches to earthen heritage conservation
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Impact of ASR performance on free speaking language assessment
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Multi-ethnic facial features extraction based on axiomatic fuzzy set theory
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Search for dark matter produced in association with heavy-flavor quark pairs in proton-proton collisions at [Formula: see text]
|
|
|
|
BASE
|
|
Show details
|
|
|
|