Instructors
Course administration
General information
- Lecture type: Block Seminar CS
- Credit points: 7 - 9 CP
- Kickoff meeting
- Time: Friday April 24 14:00-16:00
- Location: DFKI (D3.2) Room Barwise on floor -2 (entrance hall), next to the
reception
- Slides: pdf
- 30.05.2009: Finish reading introductory papers
- 16.06.2009: Seminar with questions on introductory papers, 17:00, room Reuse (-2.17) DFKI
- 30.06.2009: Finish reading papers on your assigned topic (see link at the bottom) and conduct your advisor to agree on a presentation topic
- 15.07.2009: First version of slides and meeting with advisor
- 20.07.2009: Final version of slides to advisor
- 24.07.2009: Slides (pdf) to Dimitra
- Topic presentations by students
- Time: 25-26.08.2009, 10:00-16:30 (and if necessary 27.08 morning)
- Location: DFKI Room Reuse on floor -2 (entrance hall), on the right of the
reception
Please contact your advisor, to make an individual plan for your work, but do your best that your slides reach me by July 27. August 23 is the next and last possibility, but it is risky.
Informations for non-informatics students
Apart from computer science students, students registered in the masters on Visual Computing and in the
bachelor on Computer-und Kommunikationstechnik (with background in computer science) as well as students in Lehramt Mathematik/Informatik can also register!
Registration
Click
here to register for the course. (Registration is now closed!)
IMPORTANT NOTE!!!: This is only for our course-internal record of participants. In case your study programme is subject to HISPOS (e.g., computer science students), you need to register for this course also in the HISPOS system. Please consult with your department on whether you need to register in HISPOS and on the closing date for registration. You cannot obtain credits if you fail to register on time.
Course Description
This seminar aims to get students acquainted with the different aspects and components of intelligent tutoring systems that use artificial intelligence techniques. You will learn about various existing systems and you will have the opportunity to delve into one specific area of your interest.
Prerequisites
Knowledge of Artificial Intelligence techniques is useful but not required.
Requirements and grading criteria
For passing the course, the following requirements have to be satisfied.
- student presentation
- participation in other presentations and seminars
You are required to read introductory papers on ITSs and papers specific to your topic of interest. You will then prepare a 25 min. slide presentation on your topic based on the papers you read. All presentations will take place on two to three consecutive days. You also have the chance to directly apply the knowledge gained in the seminar by contributing to the development of the ActiveMath system in the course of a thesis!
Introductory Reading List
These should be read by everybody, if possible before the kick-off meeting. Reading these papers can also help you to decide whether you are interested in the course.
These are the main questions that will be discussed in the upcoming Seminar. You might need to look in more than one articles to answer them.
- Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher 13:4-16. (pdf)
- What is the argument made in (Bloom, 1984) that’s relevant to ITSs? What is the 2-Sigma problem?
- What does it mean to increase a performance by 2 sigma? What is a standard deviation?
- What was the main source of support for Bloom's argument?
- What is a formative, a parametric, and a summative evaluation?
- What is an aptitude-achievement correlation?
- VanLehn, K. (2006) The behavior of tutoring systems. International Journal of Artificial Intelligence in Education. 16, 3, 227-265. (pdf)
- What is the purpose of the article?
- What do the following terms mean? Knowledge Component, Learning vs. Physical Event, Tutoring Strategy, Inner vs. Outer Loop, Minimal Feedback vs. Error-Correction Feedback vs. Hints.
- What is the condition under which one can characterise the behaviour of ITSs as consisting of an outer and an inner loop? How do the two relate to each other, what are the responsibilities of each one, and which issues do they involve?
- Describe briefly the following systems:
- Algebra Cognitive Tutors
- Andes
- AutoTutor
- Sherlock
- SQL-Tutor
- Steve
- Corbett, K.R. Koedinger, and J.R. Anderson. Intelligent tutoring systems. In M. Helaner and T.K. Landauer, editors, Handbook of Human-Computer Interaction, Second Edition, pages 849–874. Amsterdam: Elsevier Science, 1997.(pdf)
- How does (Corbett et al, 1997) use the argument from (Bloom, 1984)? Why?
- What is the research goal Corbett and his colleagues suggest and how have they followed it themselves?
- What is the ACT-R Theory?
- How does the analysis of ITSs in (Corbett et al, 1997) compare to the analysis in (VanLehn, 2006)? What is the architecture suggested?
- What is the instructional intervention at the:
- Curriculum level?
- Problem-solving support level?
- What is the feedback like in the SHERLOCK system?