Die Rolle von Grundvorstellungen in Lehr-Lern-Prozessen im Rechnungswesenunter-richt – Eine Mehr-Ebenen-Analyse zu den Überzeugungen von Lehrkräften und Grundvorstellungen, Motivation, Modellierungsfähigkeit und Noten von Lernenden

Berding, Florian; Jahncke, Heike

doi:10.1007/978-3-658-31146-9_11

Cited by 2 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The assignment-errormatrix can address both challenges since this matrix describes the data generation process. This idea can be illustrated with the following example based on the dataset from Berding and Jahncke (2020).…”

Section: Conclusion Theoretical Implicationsmentioning

confidence: 99%

Performance and Configuration of Artificial Intelligence in Educational Settings. Introducing a New Reliability Concept Based on Content Analysis

Berding¹,

Riebenbauer

Stütz

et al. 2022

Front. Educ.

Self Cite

View full text Add to dashboard Cite

Learning analytics represent a promising approach for fostering personalized learning processes. Most applications of this technology currently do not use textual data for providing information on learning, or for deriving recommendations for further development. This paper presents the results of three studies aiming to make textual information usable. In the first study, the iota concept is introduced as a new content analysis measure to evaluate inter-coder reliability. The main advantage of this new concept is that it provides a reliability estimation for every single category, allowing deeper insight into the quality of textual analysis. The second study simulates the process of content analysis, comparing the new iota concept with well-established measures (e.g., Krippendorff’s Alpha, percentage agreement). The results show that the new concept covers the true reliability of a coding scheme, and is not affected by the number of coders or categories, the sample size, or the distribution of data. Furthermore, cut-off values are derived for judging the quality of the analysis. The third study employs the new concept, as it analyzes the performance of different artificial intelligence (AI) approaches for interpreting textual data based on 90 different constructs. The texts used here were either created by apprentices, students, and pupils, or were taken from vocational textbooks. The paper shows that AI can reliably interpret textual information for learning purposes, and also provides recommendations for optimal AI configuration.

show abstract

Section: Conclusion Theoretical Implicationsmentioning

confidence: 99%

Performance and Configuration of Artificial Intelligence in Educational Settings. Introducing a New Reliability Concept Based on Content Analysis

Berding¹,

Riebenbauer

Stütz

et al. 2022

Front. Educ.

Self Cite

View full text Add to dashboard Cite

show abstract

Performance and Configuration of Artificial Intelligence in Business Education Learning Analytics Applications. A Content Analysis-Based Approach.

Berding¹,

Riebenbauer²,

Stütz³

et al. 2022

Preprint

View full text Add to dashboard Cite

Learning analytics represent a promising approach for fostering personalized learning processes. Most applications of this technology currently do not use textual data for providing information on learning, or for deriving recommendations for further development. This paper presents the results of three studies aiming to make textual information usable. In the first study, the iota concept is introduced as a new content analysis measure to evaluate inter-coder reliability. The main advantage of this new concept is that it provides a reliability estimation for every single category, allowing deeper insight into the quality of textual analysis. The second study simulates the process of content analysis, comparing the new iota concept with well-established measures (e.g., Krippendorff’s alpha, percentage agreement). The results show that the new concept covers the true reliability of a coding scheme, and is not affected by the number of coders or categories, the sample size, or the distribution of data. Furthermore, cut-off values are derived for judging the quality of the analysis. The third study uses the new concept, analyzing the performance of different artificial intelligence (AI) approaches for interpreting textual data based on 90 different constructs. The texts used here were either created by apprentices, students, and pupils, or were taken from vocational textbooks. The paper shows that AI can reliably interpret textual information for learning purposes, and also provides recommendations for optimal AI configuration.

show abstract

Die Rolle von Grundvorstellungen in Lehr-Lern-Prozessen im Rechnungswesenunter-richt – Eine Mehr-Ebenen-Analyse zu den Überzeugungen von Lehrkräften und Grundvorstellungen, Motivation, Modellierungsfähigkeit und Noten von Lernenden

Cited by 2 publications

References 27 publications

Performance and Configuration of Artificial Intelligence in Educational Settings. Introducing a New Reliability Concept Based on Content Analysis

Performance and Configuration of Artificial Intelligence in Educational Settings. Introducing a New Reliability Concept Based on Content Analysis

Performance and Configuration of Artificial Intelligence in Business Education Learning Analytics Applications. A Content Analysis-Based Approach.

Contact Info

Product

Resources

About