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Relating Product Data to Process Data from Computer-Based Competency Assessment

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Competence Assessment in Education

Abstract

Competency measurement typically focuses on task outcomes. Taking process data into account (i.e., processing time and steps) can provide new insights into construct-related solution behavior, or confirm assumptions that govern task design. This chapter summarizes four studies to illustrate the potential of behavioral process data for explaining task success. It also shows that generic process measures such as time on task may have different relations to task success, depending on the features of the task and the test-taker. The first study addresses differential effects of time on task on success across tasks used in the OECD Programme for the International Assessment of Adult Competencies (PIAAC). The second study, also based on PIAAC data, investigates at a fine-grained level, how the time spent on automatable subtasks in problem-solving tasks relates to task success. The third study addresses how the number of steps taken during problem solving predicts success in PIAAC problem-solving tasks. In a fourth study, we explore whether successful test-takers can be clustered on the basis of various behavioral process indicators that reflect information problem solving. Finally, we address how to handle unstructured and large sets of process data, and briefly present a process data extraction tool.

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Notes

  1. 1.

    Naumann et al. (2014) included a third predictor in their model: the openness of the task. For the results for this predictor, not reported here, please refer to the original source.

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Acknowledgments

The preparation of this manuscript was supported by a grant from the German Research Foundation (DFG), awarded to Frank Goldhammer, Johannes Naumann, and Heiko Rölke (GO 1979/1-1) in the Priority Programme “Competence Models for Assessing Individual Learning Outcomes and Evaluating Educational Processes” (SPP 1293). Frank Goldhammer and Johannes Naumann contributed equally to this chapter.

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Goldhammer, F., Naumann, J., Rölke, H., Stelter, A., Tóth, K. (2017). Relating Product Data to Process Data from Computer-Based Competency Assessment. In: Leutner, D., Fleischer, J., Grünkorn, J., Klieme, E. (eds) Competence Assessment in Education. Methodology of Educational Measurement and Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-50030-0_24

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  • DOI: https://doi.org/10.1007/978-3-319-50030-0_24

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