The DOI matches its Crossref record.
An Analysis of Attention to Student—Adaptive Hints in an Educational Game
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Eye-tracking is widely used also in the education field, where several studies evidenced that there are significant differences in eye movements between experienced and less experienced participants [10,39,40].”
From Impact of Think-Aloud on Eye-Tracking: A Comparison of Concurrent and Retrospective Think-Aloud for Research on Decision-Making in the Game Environment (2020) · cites this paper as [40]
In the citing paper
“Several studies [10,39,40] claim a significant difference in data gathered by eye-tracking when a monitored task is performed by participants with different levels of skills, experience, or education.”
From Impact of Think-Aloud on Eye-Tracking: A Comparison of Concurrent and Retrospective Think-Aloud for Research on Decision-Making in the Game Environment (2020) · cites this paper as [40]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 16
- de Castell, S., Jenson, J.: Digital Games for Education: When Meanings Play. Intermedialities 9, 45–54 (2007)
- Van Eck, R.: Building Artificially Intelligent Learning Games. In: Gibson, D., Aldrich, C., Prensky, M. (eds.) Games and Simulations in Online Learning: Research and Development Frameworks, pp. 271–307. Information Science Pub. (2007) · DOI
- Conati, C., Manske, M.: Evaluating Adaptive Feedback in an Educational Computer Game. In: Ruttkay, Z., Kipp, M., Nijholt, A., Vilhjálmsson, H.H. (eds.) IVA 2009. LNCS, vol. 5773, pp. 146–158. Springer, Heidelberg (2009) · DOI
- Peirce, N., Conlan, O., Wade, V.: Adaptive Educational Games: Providing Non-invasive Personalised Learning Experiences. In: Second IEEE International Conference on Digital Games and Intelligent Toys Based Education (DIGITEL 2008), Banff, Canada, pp. 28–35 (2008) · DOI
- Johnson, W.L.: Serious use for a serious game on language learning. In: Proc. of the 13th Int. Conf. on Artificial Intelligence in Education, Los Angeles, USA (2007)
- Conati, C., Merten, C.: Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation. Knowl.-Based Syst. 20(6), 557–574 (2007) · DOI
- Baker, R., Corbett, A., Roll, I., Koedinger, K.: Developing a generalizable detector of when students game the system. User Model. User-Adapt. Interact. 18(3) (2008) · DOI
- Aleven, V., McLaren, B.M., Roll, I., Koedinger, K.R.: Toward Tutoring Help Seeking. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 227–239. Springer, Heidelberg (2004) · DOI
- Roll, I., Aleven, V., McLaren, B.M., Ryu, E., Baker, R.S.J.d., Koedinger, K.R.: The Help Tutor: Does Metacognitive Feedback Improve Students’ Help-Seeking Actions, Skills and Learning? In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 360–369. Springer, Heidelberg (2006) · DOI
- Bee, N., Wagner, J., André, E., Charles, F., Pizzi, D., Cavazza, M.: Interacting with a Gaze-Aware Virtual Character. In: Workshop on Eye Gaze in Intelligent Human Machine Interaction, IUI 2010 (2010) · DOI
- Prasov, Z., Chai, J.: What’s in a gaze? the role of eye-gaze in reference resolution in multimodal conversational interfaces. In: IUI 2008 (2008) · DOI
- Muldner, K., Christopherson, R., Atkinson, R., Burleson, W.: Investigating the Utility of Eye-Tracking Information on Affect and Reasoning for User Modeling. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 138–149. Springer, Heidelberg (2009) · DOI
- Muir, M., Conati, C.: Understanding Student Attention to Adaptive Hints with Eye-Tracking. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011 Workshops. LNCS, vol. 7138, pp. 148–160. Springer, Heidelberg (2012) · doi:10.1007/978-3-642-28509-7_15
- Woolf, B.P.: Building intelligent interactive tutors: Student-Centered strategies for revolutionizing elearning. Morgan Kaufmann (2008)
- Easterday, M., Aleven, V., Scheines, R., Carver, S.: Using Tutors to Improve Educational Games. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds.) AIED 2011. LNCS, vol. 6738, pp. 63–71. Springer, Heidelberg (2011) · DOI
- Linehan, C., Kirman, B., Lawson, S., Chan, G.: Practical, Appropriate, Empirically-Validated Guidelines for Designing Educational Games. In: CHI 2011, pp. 1979–1988 (2011) · DOI · Paper page
Cited by
Hutt, S., Krasich, K., R. Brockmole, J., & K. D'Mello, S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445269 · Cited by 60
Prokop, M., Pilař, L., & Tichá, I. (2020) · Sensors · doi:10.3390/s20102750 · Cited by 48
Metadata
- Authors
- Muir, M., & Conati, C.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2012
- Pages
- 112-122
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 33
- References
- 0
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
