Adaptive Navigation Support, Learner Control and Open Learner Models

Bull, Susan; Ahmad, Norasnita; Johnson, Matthew; Johan, Rasyidi; Mabbott, Andrew; Kerly, Alice

doi:10.1007/978-3-540-70987-9_33

Cited by 6 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, with such promising results from previous work, it is still an open question how we can design specific features of the ITSs to support selfassessment and study choice effectively, while maintaining or even enhancing their effectiveness at the domain level. Recently, ITS researchers have pointed out the potential of using Open Learner Models (OLMs) to support students' self-assessment and study choice [1]. OLM is one component of ITS that displays students' learning progress using different forms of visualizations.…”

Section: Introductionmentioning

confidence: 99%

Active Learners: Redesigning an Intelligent Tutoring System to Support Self-regulated Learning

Long

Aleven

2013

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract.Supporting students' self-regulated learning (SRL) is an important topic in the learning sciences. Two critical processes involved in SRL are selfassessment and study choice. Intelligent tutoring systems (ITSs) have been shown to be effective in supporting students' domain-level learning through guided problem-solving practice, but it is an open question how they can support SRL processes effectively, while maintaining or even enhancing their effectiveness at the domain level. We used a combination of user-centered design techniques and experimental classroom research to redesign and evaluate an ITS for linear equation solving so it supports self-assessment and study choice. We added three features to the tutor' Open Learner Model (OLM) that may scaffold students' self-assessment (self-assessment prompts, delaying the update of students' progress bars, and providing progress information on the problem type level). We also designed a problem selection screen with shared student/system control and game-like features. We went through two iterations of design and conducted two controlled experiments with 160 local middle school students to evaluate the effectiveness of the new features. The evaluations reveal that the new OLM with self-assessment support facilitates students' learning processes, and enhances their learning outcomes significantly. However, we did not find significant learning gains due to the problem selection feature. This work informs the design of future ITS that supports SRL.

show abstract

Section: Introductionmentioning

confidence: 99%

Active Learners: Redesigning an Intelligent Tutoring System to Support Self-regulated Learning

Long

Aleven

2013

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…Para mejorar las posibilidades pedagógicas de los sistemas adaptativos se están incorporando nuevas técnicas como la exposición del modelo del alumno (OLM: Open Learner Model) (Bull et al, 2008), la ampliación de las posibilidades instruccionales (OCAHS: Open Corpus Adaptation Hypermedia Systems) (Sosnovsky, 2009;Knutov, 2008) y del desarrollo de nuevas formas de adaptabilidad en trabajos en grupo como la creación coordinada de mapas conceptuales y ontologías (Beydoun, 2009;Gladun et al, 2009).…”

Section: Ten D Enci As D E Lo S Ahsunclassified

Aproximación Cognitiva al Modelado de Sistemas Inteligentes aplicados a la Educación

Caravantes Redondo

View full text Add to dashboard Cite

Estado ValorPresentation PENDING: Se está inicializando en SIC. TRANSITION: Está cambiando el aspecto del SIC. PERMANENT: El SIC está en espera de interacción. NO: No existe el SIC. Perception NO: No se ha iniciado la percepción del SIC. CURRENT: No se ha superado el tiempo de percepción, el usuario está percibiendo el SIC. PAST: Se ha superado el tiempo de percepción, el usuario ha percibido el SIC. Blockade YES: El SIC no admite interacción. NO: El SIC responde al usuario. Duration BEGIN: El SIC se ha iniciado y ha alcanzado su estado permanente. END: El SIC ha superado su duración máxima. Sound NO: No está activo ningún sonido con control de estado (excepto sonido de fondo). ACTIVE: Está sonando algún sonido con control de estado. END: No hay ningún sonido activo y ya finalizó un sonido con control de estado.

show abstract

Advanced Technologies for Personalized Learning, Instruction, and Performance

Vandewaetere

Clarebout

2013

Handbook of Research on Educational Communications and Technology

View full text Add to dashboard Cite

Adaptive Navigation Support, Learner Control and Open Learner Models

Cited by 6 publications

References 7 publications

Active Learners: Redesigning an Intelligent Tutoring System to Support Self-regulated Learning

Active Learners: Redesigning an Intelligent Tutoring System to Support Self-regulated Learning

Aproximación Cognitiva al Modelado de Sistemas Inteligentes aplicados a la Educación

Advanced Technologies for Personalized Learning, Instruction, and Performance

Contact Info

Product

Resources

About