Decision-analytic structuring of fundamental study objectives

Ahn, Heinz; Clermont, Marcel; Dyckhoff, Harald; Höfer-Diehl, Yvonne

doi:10.1007/s11573-012-0625-5

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…contact with other students, communicating with lecturers). Also in the German higher education context, Ahn et al (2012) applied both previously established goals categories and added new categories on the basis of interviews and questionnaires with students and lecturers. These categories reflect goals related to the choice of a particular course of study.…”

Section: Existing Study Goal Classificationsmentioning

confidence: 99%

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Tagset for University Students' Educational Goals

2020

Proceedings of the 17th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2020)

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Self-set educational goals are central to self-regulated learning and an observable manifestation of students' motivation. In this paper, we develop and trial a tagset for the characteristics of university students' self-set goals. The novelty of this approach consists in using data-driven, non-exclusive tags, rather than theory-derived, exclusive categories, on the basis of freely formulated goals in natural language. A 400-goal sample out of the 2,262 educational goals collected from 732 students at three universities was used to develop a tagset of six metatags and 28 tags. Six coders independently assigned tags to the collected goals. Based on these tag assignments (n = 376,458), Krippendorff's α was used to approximate intercoder reliability. Surprising intercoder agreement scores are discussed. Further, relative frequencies for each of the tags were calculated. These point to relevant aspects of students' motivations. The tagged dataset may serve as input for AI-powered study assistant systems, whilst the tagset itself may be used in future studies to gain further insights into university students' study motivations.

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Section: Existing Study Goal Classificationsmentioning

confidence: 99%

“…The authors classified them into six supra-categories. On the basis of the data collected, Ahn et al (2012) proposed a four-level hierarchical model of study goals. The highest level represents the overarching aim of living a good life.…”

Section: Existing Study Goal Classificationsmentioning

confidence: 99%

Tagset for University Students' Educational Goals

2020

Proceedings of the 17th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2020)

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“…This is probably because, so far, there has been a lack of meaningful indicators for academic teaching. Teaching indicators discussed in business administration only refer either to graduate numbers (meaning a hassle-free interconnection of students' performance and the performance of their lecturers), or to pure satisfaction indicators from students (Ahn et al 2012). Table 9 Overview of the development of the effectiveness (a) and efficiency (b) in regard to individual BuSs a) b)…”

Section: Implications Limitations and Outlookmentioning

confidence: 99%

Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009

Clermont

2016

Scientometrics

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This article analyses the development of effectiveness and efficiency of German business schools' research production between 2001 and 2009. The results suggest that effectiveness for most of the examined business schools increases initially. Then, however, a declining trend in the further course of time can be observed. Similar tendencies can be stated considering efficiency, even though they are slightly less pronounced. An analysis of the reasons for these observations reveals that the initial positive developments of effectiveness and of efficiency are mainly due to technology advances, whereas the following decreases are basically a result of technology backwardness. In regard to different types of business schools, a strong relation between the reputation of a school and the research effectiveness of that school becomes apparent. With reference to geographical regions, Western and Southern German business schools feature higher effectiveness than their Northern or Eastern counterparts do. This statement, however, is not valid in terms of efficiency.

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“…The research objectives formulated generally in university statutes are fundamental with respect to the interests of various stakeholders; however, they are not specific and manageable enough for performance measurement. Hardly any studies are to be found on the systematic, explicit derivation of specific fundamental objectives of performance in the university sector (Ahn et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Citation metrics as an additional indicator for evaluating research performance? An analysis of their correlations and validity

Clermont

Dirksen

Scheidt

et al. 2017

Bus Res

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Evaluating the predictive ability of mortality forecasts is important yet difficult. Death rates and mean lifespan are basic life table functions typically used to analyze to what extent the forecasts deviate from their realized values. Although these parameters are useful for specifying precisely how mortality has been forecasted, they cannot be used to assess whether the underlying mortality developments are plausible. We therefore propose that in addition to looking at average lifespan, we should examine whether the forecasted variability of the age at death is a plausible continuation of past trends. The validation of mortality forecasts for Italy, Japan, and Denmark demonstrates that their predictive performance can be evaluated more comprehensively by analyzing both the average lifespan and lifespan disparity-that is, by jointly analyzing the mean and the dispersion of mortality. Approaches that account for dynamic age shifts in survival improvements appear to perform better than others that enforce relatively invariant patterns. However, because forecasting approaches are designed to capture trends in average mortality, we argue that studying lifespan disparity may also help to improve the methodology and thus the predictive ability of mortality forecasts.

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Decision-analytic structuring of fundamental study objectives

Cited by 6 publications

References 19 publications

Tagset for University Students' Educational Goals

Tagset for University Students' Educational Goals

Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009

Citation metrics as an additional indicator for evaluating research performance? An analysis of their correlations and validity

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