Intelligent and Adaptive Learning Systems 2012
DOI: 10.4018/978-1-60960-842-2.ch010
|View full text |Cite
|
Sign up to set email alerts
|

E-Learning Tools with Intelligent Assessment and Feedback for Mathematics Study

Abstract: Mathematics students, often among large university classes of several hundreds of students, are easily daunted when solving math problems. Lacking individual feedback, they easily give up. To bolster learning, Computer-Aided Assessment may help students by giving them individual feedback about their progress. This article presents some general requirements for Intelligent Assessment using semi-automatic feedback in mathematics education with a special focus on solution processes. Intelligent Assessment implies… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2012
2012
2022
2022

Publication Types

Select...
3
2
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 7 publications
0
2
0
Order By: Relevance
“…There are exceptions such as in mathematics education, where well-understood misconceptions and the appearance of common errors have provided the basis for more sophisticated intelligent and adaptive assessment systems. Reviews by Bescherer, Kortenkamp, Müller, and Spannagel (2009), Bescherer, Herding, Kortenkamp, Müller, and Zimmermann (2012) of e-assessment systems in mathematics distinguish between systems that are ''automated,'' offering students generic responses, ''intelligent'' in that they identify common misconceptions or patterns of errors, and those that are ''adaptive,'' offering students tailored content and activities according to patterns in their responses to questions and problems. Semantic web technologies could be integrated into all of these categories of e-assessment software, but offer particular advantages in those that are considered ''intelligent'' or ''adaptive.''…”
Section: E-assessment and Formative Assessmentmentioning
confidence: 99%
“…There are exceptions such as in mathematics education, where well-understood misconceptions and the appearance of common errors have provided the basis for more sophisticated intelligent and adaptive assessment systems. Reviews by Bescherer, Kortenkamp, Müller, and Spannagel (2009), Bescherer, Herding, Kortenkamp, Müller, and Zimmermann (2012) of e-assessment systems in mathematics distinguish between systems that are ''automated,'' offering students generic responses, ''intelligent'' in that they identify common misconceptions or patterns of errors, and those that are ''adaptive,'' offering students tailored content and activities according to patterns in their responses to questions and problems. Semantic web technologies could be integrated into all of these categories of e-assessment software, but offer particular advantages in those that are considered ''intelligent'' or ''adaptive.''…”
Section: E-assessment and Formative Assessmentmentioning
confidence: 99%
“…Fewer studies have examined the combination of human and computer in marking and provision of feedback comments. Semi-automatic assessment is a term that has been used to describe the cooperation between human markers and the computer in assessment (Herding and Schroeder, 2011;Bescherer et al, 2011;Sargent, J et al, 2004).…”
Section: Introductionmentioning
confidence: 99%