E-assessment meets personalization

Abstract

Over the last decade, a large number of e-assessment system and tools were developed. However, they all provide assessments that are characterized by a static structure (ordered sequence of questions, predefined start and ending, etc.). This approach does not consider students individual knowledge or characteristics. Instead, each student has to answer the same questions. The work presented in this paper focuses on a personalized e-assessment system (askMe!) that not only identifies, but also supports and even compensates deficits in students' individual learning by considering students' strengths and preferences. In this paper, the core, the adaptation model of the system is presented that defines what can be adapted, as well as when and how it is to be adapted

Towards an adaptive system for the evaluation of network services

“…The most recent proposal related to assessment and cus tomization can be found in [18]. The system proposed, named askMe!, supports and compensates deficits in students' in dividual learning by considering the students' strengths and preferences.…”

“…To make this possible, the OneR [20] algorithm have been chosen, as a first approximation of other works based on the use of rules to make user adapta tion [18].…”

Learning analytics for the development of adapted e‐assessment workflow system

“…Several studies have presented e-learning personalized approaches [12][13][14][15][16][17], but few of them were interested to the adaptation of the e-assessment like [18][19][20][21][22]. Chenti et al [18] have presented a personalized assessment in the semantic web, and explored the use of semantic web technologies for reasoning over learning and assessment resources to personalize the information presented to the learner.…”

“…AskMe! [19] is a personalized e-assessment system that covers e-assessment steps, starting from creating tests and presenting them to the learners up to preparing the results and presenting them to teachers and authors. In this system, the authors have not specified the source of the data used in the adaptation conditions.…”

PANDA - A Platform for Open Learning Analytics

“…is a web-based e-assessment system being developed at the Fraunhofer IDMT that covers the whole life-cycle of e-assessments starting from creating questions, presenting them to the students up to preparing the results and presenting them to teachers, tutors, etc. The questions and tests can consider individual aspects so that e-assessments and their feedback can perfectly be tailored to students or groups of students (Saul and Wuttke, 2013). Moreover, the author of the adaptive tests is not limited to traditional question types such as multiple-choice, but can use Interactive Content Objects (ICOs) to create sophisticated (interactive) e-assessments (Saul and Wuttke, 2012).…”