Building an Instructional Framework to Support Learner Control in Adaptive Educational Systems

2008 ◽  
pp. 579-593
Author(s):  
Kyparisia A. Papanikolaou ◽  
Maria Grigoriadou

Recently there has been a growing appreciation concerning learner control over the learning/instructional process, leading to the development of mixed-initiative systems where learners are allowed to take varying levels of control. The design of Adaptive Educational Systems (AES) that provide such learner control opportunities through their adaptive and adaptable dimensions, is a challenging research goal that requires a certain understanding of the learning and instructional processes. To this aim, in this chapter we focus on the educational background that should underlie the design of adaptation and learner-system interaction in the context of AES used for Web-based education. We propose an instructional framework that supports a variety of instructional approaches and provides guidelines that unify several processes underlying adaptation such as structuring the domain knowledge, developing the content, and planning individualised support—assessment—learner control opportunities. This framework incorporates a variety of approaches over instruction and assessment, in order to accommodate the diversity of learners’ needs and preferences, and enable them to choose when, what, and how to learn. The theoretical background underlying the design of the framework and the implications for Web-based AES design are also discussed.

Author(s):  
Kyparisia A. Papanikolaou ◽  
Maria Grigoriadou

Recently there has been a growing appreciation concerning learner control over the learning/instructional process, leading to the development of mixed-initiative systems where learners are allowed to take varying levels of control. The design of Adaptive Educational Systems (AES) that provide such learner control opportunities through their adaptive and adaptable dimensions, is a challenging research goal that requires a certain understanding of the learning and instructional processes. To this aim, in this chapter we focus on the educational background that should underlie the design of adaptation and learner-system interaction in the context of AES used for Web-based education. We propose an instructional framework that supports a variety of instructional approaches and provides guidelines that unify several processes underlying adaptation such as structuring the domain knowledge, developing the content, and planning individualised support—assessment—learner control opportunities. This framework incorporates a variety of approaches over instruction and assessment, in order to accommodate the diversity of learners’ needs and preferences, and enable them to choose when, what, and how to learn. The theoretical background underlying the design of the framework and the implications for Web-based AES design are also discussed.


2009 ◽  
Vol 53 (3) ◽  
pp. 828-840 ◽  
Author(s):  
Cristóbal Romero ◽  
Sebastián Ventura ◽  
Amelia Zafra ◽  
Paul de Bra

2002 ◽  
pp. 91-123
Author(s):  
C. M. Papaterpos ◽  
P. A. Zafiris ◽  
N. P. Georgantis ◽  
T. S. Papatheodorou

Author(s):  
Elvira Popescu

The chapter provides an overview of the individual differences that have an impact on the learning process and that are currently integrated in adaptive educational systems (AES). The focus is on one of these human factors in particular, namely learning style, which constitutes a popular source of adaptation in recent AES, but also one of the most controversial. The chapter includes a critical analysis of learning styles and their use in technology-enhanced learning settings, motivating the need for a Unified Learning Style Model (ULSM). This model integrates a carefully selected set of learning preferences extracted from several traditional learning style models, related to perception modality, way of processing and organizing information, as well as motivational and social aspects. The practical applicability of the model is also shown by briefly introducing an adaptive Web-based educational system built on it (called WELSA) and reporting the encouraging experimental results obtained so far. The use of ULSM in the emerging Web 2.0 context is also envisioned, by proposing the addition of a social learning dimension to WELSA.


Author(s):  
Keith T. Shubeck ◽  
Scotty D. Craig ◽  
Xiangen Hu

Live-action training simulations with expert facilitators are considered by many to be the gold-standard in training environments. However, these training environments are expensive, provide many logistical challenges, and may not address the individual’s learning needs. Fortunately, advances in distance-based learning technologies have provided the foundation for inexpensive and effective learning environments that can simultaneously train and educate students on a much broader scale than live-action training environments. Specifically, intelligent tutoring systems (ITSs) have been proven to be very effective in improving learning outcomes. The Virtual Civilian Aeromedical Evacuation Sustainment Training (VCAEST) interface takes advantage of both of these technologies by enhancing a virtual world with a web-based ITS, AutoTutor LITE (Learning in Interactive Training Environments). AutoTutor LITE acts as a facilitator in the virtual world by providing just-in-time feedback, presenting essential domain knowledge, and by utilizing tutoring dialogues that automatically assess user input. This paper will discuss the results of an experimental evaluation of the VCAEST environment compared to an expert-led live-action training simulation.


2016 ◽  
Author(s):  
Maia A. Smith ◽  
Cydney Nielsen ◽  
Fong Chun Chan ◽  
Andrew McPherson ◽  
Andrew Roth ◽  
...  

Inference of clonal dynamics and tumour evolution has fundamental importance in understanding the major clinical endpoints in cancer: development of treatment resistance, relapse and metastasis. DNA sequencing technology has made measuring clonal dynamics through mutation analysis accessible at scale, facilitating computational inference of informative patterns of interest. However, currently no tools allow for biomedical experts to meaningfully interact with the often complex and voluminous dataset to inject domain knowledge into the inference process. We developed an interactive, web-based visual analytics software suite called E-scape which supports dynamically linked, multi-faceted views of cancer evolution data. Developed using R and javascript d3.js libraries, the suite includes three tools: TimeScape and MapScape for visualizing population dynamics over time and space, respectively, and CellScape for visualizing evolution at single cell resolution. The tool suite integrates phylogenetic, clonal prevalence, mutation and imaging data to generate intuitive, dynamically linked views of data which update in real time as a function of user actions. The system supports visualization of both point mutation and copy number alterations, rendering how mutations distribute in clones in both bulk and single cell experiment data in multiple representations including phylogenies, heatmaps, growth trajectories, spatial distributions and mutation tables. E-scape is open source and is freely available to the community at large.


Author(s):  
José Campo-Ávila ◽  
Ricardo Conejo ◽  
Francisco Triguero ◽  
Rafael Morales-Bueno

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