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» Learning Object Context for Adaptive Learning Design
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ML
2006
ACM
105views Machine Learning» more  ML 2006»
15 years 2 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
DC
2001
15 years 3 months ago
The Meaning of LOM and LOM Authoring Tool on HRD
Activity for standardization about educational information is prosperous internationally. The LOM standard is meta-data about learning objects. Learning objects are every types of...
Kenji Hirata, Yoshiyuki Takaoka, Mamoru Ohta, Mits...
AH
2006
Springer
15 years 6 months ago
A Model for Personalized Learning Through IDTV
Interactive Digital TV (IDTV) opens new learning possibilities where new forms of education are needed. In this paper we explain a new conception of t-learning experiences where TV...
Marta Rey-López, Ana Fernández Vilas...
SIGCSE
2005
ACM
142views Education» more  SIGCSE 2005»
15 years 8 months ago
Closed laboratories with embedded instructional research design for CS1
Closed laboratories are becoming an increasingly popular approach to teaching introductory computer science courses. However, as observed in [1], “Considering the prevalence of ...
Leen-Kiat Soh, Ashok Samal, Suzette Person, Gwen N...
BMCBI
2006
137views more  BMCBI 2006»
15 years 2 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...