E-LIB Suche - Ergebnisse für: Slater, Stefan

1

The Future Potential of Combining Educational Data Mining W..:

, In: Games as Stealth Assessments; Advances in Educational Technologies and Instructional Design,

Slater, Stefan ; Bainbridge, Katie - p. 240-254 , 2023

Link: https://doi.org/10.4018/..

2

Shifts in Student Attitudes and Beliefs About Science Throu..:

, In: Communications in Computer and Information Science; Immersive Learning Research Network,

Metcalf, Shari J. ; Gagnon, David ; Slater, Stefan - p. 330-342 , 2023

Link: https://doi.org/10.1007/..

3

Cancer incidence and mortality in 23 000 patients with type..:

Swerdlow, Anthony J. ; Jones, Michael E. ; Slater, Stefan D....
International Journal of Cancer. 153 (2023) 3 - p. 512-523 , 2023

Link: https://doi.org/10.1002/..

4

A Case for (Inter)Action: The Role of Log Data in QE:

, In: Communications in Computer and Information Science; Advances in Quantitative Ethnography,

Scianna, Jennifer ; Liu, Xiner ; Slater, Stefan. - p. 395-408 , 2023

Link: https://doi.org/10.1007/..

5

Struggling to Detect Struggle in Students Playing a Science..:

, In: Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play,

Liu, Xiner ; Slater, Stefan ; Andres, Juliana Ma. Alexandra L.... - p. 83-88 , 2023

Link: https://dl.acm.org/doi/1..

6

Does embedding learning supports enhance transfer during ga..:

Bainbridge, Katie ; Shute, Valerie ; Rahimi, Seyedahmad...
Learning and Instruction. 77 (2022) - p. 101547 , 2022

Link: https://doi.org/10.1016/..

7

Engagement-Based Player Typologies Describe Game-Based Lear..:

, In: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium; Lecture Notes in Computer Science,

Slater, Stefan ; Baker, Ryan ; Shute, Valerie. - p. 325-328 , 2022

Link: https://doi.org/10.1007/..

8

Perspectives on Scales, Contexts, and Directionality of Col..:

, In: International Handbook of Computer-Supported Collaborative Learning,

Fields, Deborah ; Kafai, Yasmin ; Aguilera, Earl.. - p. 371-388 , 2021

Link: https://doi.org/10.1007/..

9

Affect-Targeted Interviews for Understanding Student Frustr..:

, In: Lecture Notes in Computer Science; Artificial Intelligence in Education,

Baker, Ryan S. ; Nasiar, Nidhi ; Ocumpaugh, Jaclyn L.... - p. 52-63 , 2021

Link: https://doi.org/10.1007/..

10

Can typical game features have unintended consequences? A s..:

Chase, Catherine C. ; Malkiewich, Laura J. ; Lee, Alison...
British Journal of Educational Technology. 52 (2020) 1 - p. 57-74 , 2020

Link: https://doi.org/10.1111/..

11

Mining Big Data in Education: Affordances and Challenges:

Fischer, Christian ; Pardos, Zachary A. ; Baker, Ryan Shaun...
Review of Research in Education. 44 (2020) 1 - p. 130-160 , 2020

Link: https://doi.org/10.3102/..

12

Forecasting future student mastery:

Slater, Stefan ; Baker, Ryan
Distance Education. 40 (2019) 3 - p. 380-394 , 2019

Link: https://doi.org/10.1080/..

13

Affect Sequences and Learning in Betty's Brain:

, In: Proceedings of the 9th International Conference on Learning Analytics & Knowledge,

Andres, Juliana Ma. Alexandra L. ; Ocumpaugh, Jaclyn ; Baker, Ryan S.... - p. 383-390 , 2019

Link: https://dl.acm.org/doi/1..

14

Degree of error in Bayesian knowledge tracing estimates fro..:

Slater, Stefan ; Baker, Ryan S.
Behaviormetrika. 45 (2018) 2 - p. 475-493 , 2018

Link: https://doi.org/10.1007/..

15

Contextual factors affecting hint utility:

Inventado, Paul Salvador ; Scupelli, Peter ; Ostrow, Korinn...
International Journal of STEM Education. 5 (2018) 1 - p. , 2018

Link: https://doi.org/10.1186/..