The design of AHA!

Bra, Paul De; Smits, David; Stash, Natalia

doi:10.1145/1149941.1149968

Cited by 41 publications

(45 citation statements)

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“…A given engine may allow for showing concepts or not, but not for applying strechtext (e.g., the AHA! engine [ 13]). Using such lowlevel requirements might make an adaptation strategy impossible to be used by different engines.…”

Section: The Lag Grammar History and Lessons Learntmentioning

confidence: 99%

“…It allows insertion of only predefined authoring constructs, thus providing handling help, as mentioned in Section 1 (in Fig.1, left Fig.1, or by specific concepts -not shown here). Moreover, for the specific concepts, the environment allows direct database access to a domain model and goal and constraints model database, permitting selection of appropriate specific concepts directly from the respective instances 13 . Thus, it provides ample support for the authors, lowering the authoring threshold.…”

Section: The Problemmentioning

confidence: 99%

“…delivery system [ 13] Database driven user access and strategy storage similar to the existing online system. Efficient storage system for the way in which AH Strategies are constructed by the user in LAG using this programming environment.…”

Section: Objectivesmentioning

confidence: 99%

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LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring

Cristea

Smits

Bevan

et al. 2009

Lecture Notes in Computer Science

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Abstract. Reusable adaptation specifications for adaptive behaviour has come to the forefront of adaptive research recently, with EU projects such as GRAPPLE 1 , and PhD research efforts on designing an adaptation language for learning style specification [ 28]. However, this was not the case five years ago, when an adaptation language for adaptive hypermedia (LAG) was first proposed. This paper describes the general lessons learnt during the last five years in designing, implementing and using an adaptation language, as well as the changes that the language has undergone in order to better fulfil its goal of combining a high level of semantics with simplicity, portability as well as being flexible. Besides discussing these changes based on some sample strategies, this paper also presents a novel authoring environment for the programming-savvy adaptation author, that applies feedback accumulated during various evaluation sessions with the previous set of tools, and its first evaluation with programming experts.

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Section: The Lag Grammar History and Lessons Learntmentioning

confidence: 99%

Section: The Problemmentioning

confidence: 99%

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LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring

Cristea

Smits

Bevan

et al. 2009

Lecture Notes in Computer Science

Self Cite

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“…Link hiding in AHA! framework taken from the adaptive paper [31]. The upper fragment shows several links leading to other sections of the paper.…”

Section: Link Hidingmentioning

confidence: 99%

“…8.2. This example is taken from their adaptive paper, which presented their framework [31]. A number of studies of link hiding revealed that it is best used as a "unidirectional" technology.…”

mentioning

confidence: 99%

Adaptive Navigation Support

Brusilovsky

Lecture Notes in Computer Science

127

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Abstract.Adaptive navigation support is a specific group of technologies that support user navigation in hyperspace, by adapting to the goals, preferences and knowledge of the individual user. These technologies, originally developed in the field of adaptive hypermedia, are becoming increasingly important in several adaptive Web applications, ranging from Web-based adaptive hypermedia to adaptive virtual reality. This chapter provides a brief introduction to adaptive navigation support, reviews major adaptive navigation support technologies and mechanisms, and illustrates these with a range of examples. IntroductionAdaptive hypermedia [9] is a research area at the crossroads of hypermedia and user modeling. Adaptive hypermedia systems (AHS) offer an alternative to the traditional "one-size-fits-all" hypermedia and Web systems by adapting to the goals, interests, and knowledge of individual users as they are represented in the individual user models. This chapter is focused on adaptive navigation support technologies originally developed in the field of adaptive hypermedia. By adaptively altering the appearance of links on every browsed page, using such methods as direct guidance, adaptive ordering, link hiding and removal, and adaptive link annotation, these technologies support personalized access to information. Over the last 10 years, adaptive navigation support technologies have been used in many adaptive Web systems in a range of application areas from e-learning to e-commerce. The evaluation of these technologies has demonstrated their ability to allow users to achieve their goals faster, reduce navigational overhead, and increase satisfaction [7; 18; 50; 52; 73].After a brief introduction to the history of adaptive navigation support, this chapter offers a state-of-the-art overview of adaptive navigation support. The overview is divided into two parts. The first part focuses on adaptation technologies and attempts to answer the question: What kind of adaptation effects may be useful to provide guidance to the users of Web hypermedia systems? The second part focuses on adaptation mechanisms and attempts to answer the question: How can these adaptation effects be produced? Both parts are illustrated with a range of examples. The last section discusses the prospects of extending adaptive navigation support beyond Web hypermedia. Adaptive Navigation Support: From Adaptive Hypermedia to the Adaptive WebResearch on adaptive navigation support in hypermedia can be traced back to the early 1990's. By that time, several research teams had recognized standard problems found in static hypertext within different application areas, and had begun to explore various ways to adapt the behavior of hypertext and hypermedia systems to individual users. A number of teams addressed problems related to navigation in hypermediasuch as the problem of inefficient navigation or the problem of being lost-which had been discovered when the field of hypertext reached relative maturity at the end of the 1980's [46]. Within a few year...

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eLearning standards and automatic assessment in a distributed eclipse based environment for learning computer programming

Jurado

Redondo

Ortega

2012

Comp Applic In Engineering

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Computer Programming competence is a good research field in which students of Computer Science can be assisted by an Intelligent Tutoring System (ITS). An ITS can guide the students in their learning process proposing the corresponding learning activities for each particular student. In this article, we will outline a proposal about how to use eLearning standard and automatic assessment techniques to build an ITS for learning to program. In addition, we will show the implemented system to test our proposal and how we have evaluated it with students in our university.© 2012 Wiley Periodicals, Inc. Comput Appl Eng Educ 22:774–787, 2014; View this article online at http://wileyonlinelibrary.com/journal/cae; DOI

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The design of AHA!

Cited by 41 publications

References 0 publications

LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring

LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring

Adaptive Navigation Support

eLearning standards and automatic assessment in a distributed eclipse based environment for learning computer programming

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