skip to main content
10.1145/3099023.3099106acmconferencesArticle/Chapter ViewAbstractPublication PagesumapConference Proceedingsconference-collections
research-article

Toward Caring Assessment Systems

Published: 09 July 2017 Publication History

Abstract

The notion of intelligent systems that "care" is at the center of research in areas such as Intelligent Tutoring Systems and Adaptive Systems. This paper elaborates on the notion of caring assessment systems, and presents work towards achieving this vision that has potential for improving students' assessment experiences.

References

[1]
Self, J.A. 1999. The distinctive characteristics of intelligent tutoring systems research: ITSs care, precisely, International Journal of Artificial Intelligence in Education, 10, 350--364
[2]
du Boulay, B., Avramides, K., Luckin, R., Martinuz-Miron, E., Rebolledo Mendez, G., & Carr, A. 2010. Towards systems that care: a conceptual framework based on Motivation, Metacognition and Affect. International Journal of Artificial Intelligence in Education, 20, 197--229
[3]
Kay, J., & McCalla, G. 2003. The careful double vision of self. International Journal of Artificial Intelligence and Education, 13, 1--18
[4]
Brusilovsky, P., & Milan, E. 2007. User models for adaptive hypermedia and adaptive educational systems. In P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web. Methods and strategies of web personalization. LNCS 4321, Berlin Heidelberg: Springer-Verlag. 3--53
[5]
Shute, V. J., & Zapata-Rivera, D. 2012. Adaptive educational systems. In P. Durlach (Ed.), Adaptive technologies for training and education. New York, NY:Cambridge University Press. 7--27
[6]
Conati, C., Gertner, A., & VanLehn, K. 2002. Using Bayesian networks to manage uncertainty in student modeling. Journal of User Modeling and User-Adapted Interaction, 12(4), 371--417
[7]
Jameson, A. 1995. Numerical uncertainty management in user and student modeling: An overview of systems and issues. User Modeling and User-Adapted Interaction, 5(3/4), 193--251
[8]
Anderson, J. R. 1993. The adaptive character of thought. Hillsdale, NJ: Lawrence Erlbaum.
[9]
Anderson, J. R, Corbett, A. T., Koedinger, K. R., & Pelletier, R. 1995. Cognitive tutors: Lessons learned. Journal of the Learning Sciences, 4, 167--207
[10]
Koedinger, K.R., Anderson, J.R., Hadley, W.H., & Mark, M.A. 1997. Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8, 30--43
[11]
Webb, G., Pazzani, M. J., & Billsus, D. 2001. Machine learning for user modeling. User Modeling and User-Adapted Interaction, 11, 19--29
[12]
Ohlsson, S. 1994, Constraint-Based Student Modelling. In J. Greer and G. McCalla (eds) Student Modelling: The Key to Individualised Knowledge-based Instruction, vol. 125 Computer Systems and Sciences, NATO ASI, Springer-Verlag, 167--189
[13]
Mitrovic, A., & Ohlsson, S. 1999. Evaluation of a constraint-based tutor for a database language. International Journal of Artificial Intelligence in Education, 10(3--4), 238--256
[14]
Vassileva, J., McCalla, G., & Greer, J. 2003. Multi-agent multi-user modeling in I-help. User Model. User Adapt. Interact. 13(1-2), 179--210
[15]
Rosaci, D., & Sarnè, G.M.L. 2011. EVA: An evolutionary approach to mutual monitoring of learning information agents. Applied Artificial Intelligence. 25 (5), 341--361
[16]
Rich, E. 1979. User modeling via stereotypes. Cognitive Science, 3(4), 329--354
[17]
Kay, J. 2000. Stereotypes, student models and scrutability. In G. Gauthier, C. Frasson, & K. VanLehn (Eds.), Lecture notes in computer science: Vol. 1839. Intelligent tutoring systems. Berlin: Springer-Verlag. 19--30
[18]
Stansfield, J., Carr, B., & Goldstein, I. 1976. Wumpus advisor: A first implementation of a program that tutors logical and probabilistic reasoning skills (Technical Rep. No. 381). Cambridge, MA: MIT, Artificial Intelligence Laboratory
[19]
Zapata-Rivera, D., & Greer, J. 2000. Inspecting and visualizing distributed Bayesian student models. In G. Gauthier, C. Frasson, & K. VanLehn (Eds.), Lecture notes in computer science: Vol. 1839. Intelligent tutoring systems. Berlin: Springer-Verlag. 1839, 544--553
[20]
Mislevy, R.J., Steinberg, L.S., & Almond, R.G. 2003. On the structure of educational assessments. Measurement: Interdisciplinary Research and Perspectives. 1, 3--62
[21]
Mislevy, R.J. 2008. Issues of structure and issues of scale in assessment from a situative / sociocultural perspective. In P. A. Moss, D. Pullin, E. H. Haertel, J. P. Gee, & L. J. Young (Eds.). Assessment, equity, and opportunity to learn. New York: Cambridge University Press. 259--294
[22]
Laitusis C. C., Buzick H. M., Cook L. L., & Stone E. 2011. Adaptive testing options for accountability assessments. In M. Russell (Ed.), Assessing students in the margins: Challenges, strategies, and techniques. Charlotte, NC: Information Age. 291--310
[23]
Kay, J. 2008. Lifelong learner modeling for lifelong personalized pervasive learning. IEEE Transactions on Learning Technologies, 1(4), 215--228.
[24]
Shute, V.J., Hansen, E.G., & Almond, R.G. 2008. You Can't Fatten A Hog by Weighing It-Or Can You? Evaluating an Assessment for Learning System Called ACED., International Journal of Artificial Intelligence in Education, 18(4), 289--316
[25]
Attali, Y., & Powers, D. 2010. Immediate feedback and opportunity to revise answers to open-ended questions. Educational and Psychological Measurement. 70 (1), 22--35
[26]
Graesser, A. C., Person, N. K., & Harter, D. 2001. The Tutoring Research Group: Teaching tactics and dialogue in AutoTutor. International Journal of Artificial Intelligence in Education. 12, 257--279
[27]
Johnson, W.L., & Lester, J.C. 2016. Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later. International Journal of Artificial Intelligence in Education. 26 (1), 25--36
[28]
Zapata-Rivera, D., Jackson, T., Liu, L., Bertling, M., Vezzu, M., & Katz, I. R. 2014. Science Inquiry Skills using Trialogues. 12th International Conference on Intelligent Tutoring Systems. 625--626
[29]
So, Y., Zapata-Rivera, D., Cho, Y., Luce, C., & Battistini, L. 2015. Using trialogues to measure English language skills. In J. García Laborda, D. G Sampson, R. K. Hambleton and E. Guzman (Eds.) Journal of Educational Technology and Society. Special Issue: Technology Supported Assessment in Formal and Informal Learning. 21--32
[30]
Sparks, J.R., Andrews, J.J., Zapata-Rivera, D., Lehman, B., & James, K. 2017. Students' perceptions of collaborator expertise in science inquiry tasks using simulated conversations. Paper presented at the annual meeting of the AERA, San Antonio, TX.
[31]
Lehman, B., & Zapata-Rivera, D. 2017. Student emotions during conversation-based assessments. Paper presented at the annual meeting of the AERA, San Antonio, TX.
[32]
Bull, S., & Kay, J. 2007. Student models that invite the learner in: the SMILI open learner modelling framework. International Journal of Artificial Intelligence in Education, 17(2), 89--120

Cited By

View all
  • (2024)Caring assessments: challenges and opportunitiesFrontiers in Education10.3389/feduc.2024.12164819Online publication date: 21-Jun-2024
  • (2023)Positive Artificial Intelligence in Education (P-AIED): A RoadmapInternational Journal of Artificial Intelligence in Education10.1007/s40593-023-00357-y34:3(732-792)Online publication date: 3-Aug-2023
  • (2020)Open Student Modeling Research and its Connections to Educational AssessmentInternational Journal of Artificial Intelligence in Education10.1007/s40593-020-00206-231:3(380-396)Online publication date: 6-Oct-2020
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
UMAP '17: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
July 2017
456 pages
ISBN:9781450350679
DOI:10.1145/3099023
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 July 2017

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. adaptive assessment systems
  2. conversation-based assessment.

Qualifiers

  • Research-article

Conference

UMAP '17
Sponsor:

Acceptance Rates

Overall Acceptance Rate 162 of 633 submissions, 26%

Upcoming Conference

UMAP '25

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)0
Reflects downloads up to 05 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Caring assessments: challenges and opportunitiesFrontiers in Education10.3389/feduc.2024.12164819Online publication date: 21-Jun-2024
  • (2023)Positive Artificial Intelligence in Education (P-AIED): A RoadmapInternational Journal of Artificial Intelligence in Education10.1007/s40593-023-00357-y34:3(732-792)Online publication date: 3-Aug-2023
  • (2020)Open Student Modeling Research and its Connections to Educational AssessmentInternational Journal of Artificial Intelligence in Education10.1007/s40593-020-00206-231:3(380-396)Online publication date: 6-Oct-2020
  • (2020)Learner Modeling in the Context of Caring AssessmentsAdaptive Instructional Systems10.1007/978-3-030-50788-6_31(422-431)Online publication date: 10-Jul-2020
  • (2020)AssessmentGuide to Teaching Computer Science10.1007/978-3-030-39360-1_13(279-303)Online publication date: 6-Aug-2020
  • (2018)Simulated Dialogues with Virtual Agents: Effects of Agent Features in Conversation-Based AssessmentsArtificial Intelligence in Education10.1007/978-3-319-93846-2_88(469-474)Online publication date: 20-Jun-2018

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media