Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE

By Kyparisia A. Papanikolaou, Maria Grigoriadou, Harry Kornilakis, George D. Magoulas. User modeling and user-adapted interaction, 2003

463 citations recorded by the source corpus.

Subfields: Computer Science Applications, Developmental and Educational Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a8f05fbc8f9b682b997b5422510481dfa5430a6c

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Citations in the corpus

Student Learning Styles Adaptation Method Based on Teaching Strategies and Electronic Media (2008, background): “…‘exercise’ Based on research studies (Honey & Mumford, 1992), about the type of instructional material that learners with different learning style prefer (Papanikolaou et al., 2003) Tangow (Paredes & Rodríguez 2002) sensing-intuitive dimension from the Felder-Silverman learning style model…”
Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II (2019, methodology): “, [39,56,66]) to later stages of the AIED design cycle.”
Using games and simulations for supporting learning (2006, background): “The facilitation of collaborative learning by tutors may become a more central issue in the future when more adaptive systems are developed (see Papanikolaou et al ., 2003); also the recent development of online gaming may provide new avenues for exploring how online (and distance) learning social…”
Evaluating Bayesian networks' precision for detecting students' learning styles (2007, methodology): “…CS388 (Carver, Howard, & Lavelle, 1996) and MAS-PLANG (Peñ a, Marzo, de la Rosa, & Fabregat, 2002) that use Felder and Silverman styles; the INSPIRE system (Papanikolaou, Grigoriadou, Magoulas, & Kornilakis, 2002, Papanikolaou et al., 2003) that uses the styles proposed by Honey and Mumford (1992).”
Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework (2007, background): “…the learner model can be in a simple form such as: a skill meter that is a part-shaded bar showing learner progress as a subset of expert knowledge (Papanikolaou et al., 2003; Weber & Brusilovsky, 2001); or the probability that a learner knows a concept (Corbett & Anderson, 1995; Corbett &…”
The development of intuitive knowledge classifier and the modeling of domain dependent data (2013, methodology): “In INSPIRE [20,21], the application domain model is organized into three hierarchical levels as: learning goals, concepts and materials [20,21].”