Detecting student misuse of intelligent tutoring systems

被引：0
|
作者：
Baker, RS [1 ]
Corbett, AT [1 ]
Koedinger, KR [1 ]
机构：
[1] Carnegie Mellon Univ, Human Comp Interact Inst, Pittsburgh, PA 15217 USA
来源：
INTELLIGENT TUTORING SYSTEMS, PROCEEDINGS | 2004年 / 3220卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Recent research has indicated that misuse of intelligent tutoring software is correlated with substantially lower learning. Students who frequently engage in behavior termed "gaming the system" (behavior aimed at obtaining correct answers and advancing within the tutoring curriculum by systematically taking advantage of regularities in the software's feedback and help) learn only 2/3 as much as similar students who do not engage in such behaviors. We present a machine-learned Latent Response Model that can identify if a student is gaming the system in a way that leads to poor learning. We believe this model will be useful both for re-designing tutors to respond appropriately to gaming, and for understanding the phenomenon of gaming better.
引用
下载
收藏
页码：531 / 540
页数：10
相关论文
共 50 条
  • [1] STUDENT MODELING IN INTELLIGENT TUTORING SYSTEMS
    ELSOMCOOK, M
    ARTIFICIAL INTELLIGENCE REVIEW, 1993, 7 (3-4) : 227 - 240
  • [2] Detecting Mental Fatigue in Intelligent Tutoring Systems
    Assaf, Alyssa Hajj
    Ben Abdessalem, Hamdi
    Frasson, Claude
    AUGMENTED INTELLIGENCE AND INTELLIGENT TUTORING SYSTEMS, ITS 2023, 2023, 13891 : 66 - 74
  • [3] Student model developing for intelligent tutoring systems
    Stankov, Slavomit
    International Journal for Engineering Modelling, 1996, 9 (1-4): : 35 - 42
  • [4] Detecting Diligence with Online Behaviors on Intelligent Tutoring Systems
    Dang, Steven
    Yudelson, Michael
    Koedinger, Kenneth R.
    PROCEEDINGS OF THE FOURTH (2017) ACM CONFERENCE ON LEARNING @ SCALE (L@S'17), 2017, : 51 - 59
  • [5] Automating the Generation of Student Models for Intelligent Tutoring Systems
    Stamper, John
    ARTIFICIAL INTELLIGENCE IN EDUCATION: BUILDING TECHNOLOGY RICH LEARNING CONTEXTS THAT WORK, 2007, 158 : 701 - +
  • [6] THE CONSTRUCTION AND APPLICATION OF STUDENT MODELS IN INTELLIGENT TUTORING SYSTEMS
    BRUSILOVSKIY, PL
    JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 1994, 32 (01) : 70 - 89
  • [7] Enhancing Student Modeling for Collaborative Intelligent Tutoring Systems
    Olsen, Jennifer K.
    Aleven, Vincent
    Rummel, Nikol
    INTELLIGENT TUTORING SYSTEMS, ITS 2016, 2016, 9684 : 485 - 487
  • [8] Transferable Student Performance Modeling for Intelligent Tutoring Systems
    Schmucker, Robin
    Mitchell, Tom M.
    30TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION, ICCE 2022, VOL 1, 2022, : 13 - 23
  • [9] Construction and use of student models in intelligent tutoring systems
    Brusilovskij, P.L.
    Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 1992, (05): : 97 - 119
  • [10] Bayesian Based Student Knowledge Modeling In Intelligent Tutoring Systems
    Khodeir, Nabila
    Wanas, Nayer
    Hegazy, Nadia
    Darwish, Nevin
    2012 6TH IEEE INTERNATIONAL CONFERENCE ON E-LEARNING IN INDUSTRIAL ELECTRONICS (ICELIE), 2012, : 12 - 17
12345