Automated Author Profile

Xu, Zhe

Current S-Index

8.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.6

Average Dataset Index per dataset

Total Datasets

5

Total datasets for this author

Average FAIR Score

72.3%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Effects of game-based learning on undergraduate engineering students’ task performance: using flow state theory- Data

This research tested eight hypotheses: H1:Perceived instructional support positively influences students' task performance in this context; H2: Perceived optimal challenge is positively associated with task performance in this context. H3:Perceived feedback is positively associated with task performance in this context. H4: Perceived relevance is positively associated with task performance in this context. H5: Flow state mediates the positive relationship between perceived instructional support and task performance. H6: Flow state mediates the positive relationship between perceived challenge and task performance.H7: Flow state mediates the positive relationship between perceived feedback and task performance . H8: Flow state mediates the positive relationship between perceived relevance and task performance. The excel file named "Engineering GBL Data" contains students’ self-reported feedback on their experience, flow state, and task performance after participating in the gamified bridge engineering course. For more details about the conceptual model, please read the research paper.

Authors

  • Xu, Zhe ;
  • Kim, Jinhee ;
  • Yang, Guang ;
  • li, na ;
  • Clarke , Kathryn ;
  • Zhao, Shiyu ;
  • Zhang, Tao
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/tct3bhsjttSeptember 2025

Effects of game-based learning on undergraduate engineering students’ task performance: using flow state theory- Data

This research tested eight hypotheses: H1:Perceived instructional support positively influences students' task performance in this context; H2: Perceived optimal challenge is positively associated with task performance in this context. H3:Perceived feedback is positively associated with task performance in this context. H4: Perceived relevance is positively associated with task performance in this context. H5: Flow state mediates the positive relationship between perceived instructional support and task performance. H6: Flow state mediates the positive relationship between perceived challenge and task performance.H7: Flow state mediates the positive relationship between perceived feedback and task performance . H8: Flow state mediates the positive relationship between perceived relevance and task performance. The excel file named "Engineering GBL Data" contains students’ self-reported feedback on their experience, flow state, and task performance after participating in the gamified bridge engineering course. For more details about the conceptual model, please read the research paper.

Authors

  • Xu, Zhe ;
  • Kim, Jinhee ;
  • Yang, Guang ;
  • li, na ;
  • Clarke , Kathryn ;
  • Zhao, Shiyu ;
  • Zhang, Tao
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/tct3bhsjtt.1September 2025

Data from: Phylogeography of the arid shrub Atraphaxis frutescens (Polygonaceae) in northwestern China: evidence from cpDNA sequences (Version: 1)

Climatic fluctuations during the Pleistocene are usually considered as a significant factor in shaping intraspecific genetic variation and influencing demographic histories. To well-understand these processes in desert northwest China, we selected arid adapted Atraphaxis frutescens as the study species. Two cpDNA regions (psbK-psbI, psbB-psbH) were sequenced in 272 individuals from 33 natural populations across the range of this shrub, and 10 haplotypes were identified. It was found to contain high levels of total gene diversity (H T = 0.858), and low levels of within-population diversity (H S = 0.092). Analysis of molecular variance (AMOVA) indicates that genetic differentiation primarily occurs among groups of populations. Based on BEAST (Bayesian Evolutionary Analysis Sampling Trees) analysis, we suggest that intraspecific differentiation of the species, resulting from isolated populations, accompanied enhanced desertification during the middle and late Pleistocene. The expansion of the Gurbantunggut and Kumtag deserts in this area appears to have triggered divergence among populations of the western, central, and eastern portions of the region and shaped genetic differentiation among them. Two possible independent glacial refugia were predicted, the Ili Valley and the northern Junggar Basin. Extensive development of arid habitats (desert margin and arid piedmont grassland) coupled with a more equable climate because the early Holocene are factors likely to have generated recent expansion of A. frutescens.

Authors

  • Xu, Zhe ;
  • Zhang, Ming-Li
1 Citation0 Mentions77% FAIR1.2 Dataset Index
10.5061/dryad.bt6h5November 2014

Haplotype sequences for Atraphaxis frutescens

No description available

Authors

  • Xu, Zhe ;
  • Zhang, Ming-Li
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.bt6h5/1January 2014

distribution points used in MAXENT

No description available

Authors

  • Xu, Zhe ;
  • Zhang, Ming-Li
0 Citations0 Mentions77% FAIR1.9 Dataset Index
10.5061/dryad.bt6h5/2January 2014