ArticleFrontiers in psychology2019
Taking a Closer Look: An Exploratory Analysis of Successful and Unsuccessful Strategy Use in Complex Problems.
Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Understanding Adults' Spatial Cognitive Processes: A Time-Embedded N-Grams Model with Machine Learning.Journal of Intelligence · 2026Article
- Assessing multiple abilities through process data in computer-based assessments: The multidimensional sequential response model (MSRM).Behavior research methods · 2025Article
- Investigating the Predictive Performance of Process Data and Result Data in Complex Problem Solving Using the Conditional Gradient Boosting Algorithm.Journal of Intelligence · 2025Article
- A Latent Hidden Markov Model for Process Data.Psychometrika · 2024Article
- Understanding the log file data from educational and psychological computer-based testing: A scoping review protocol.PloS one · 2024Article
- The cyclical ethical effects of using artificial intelligence in education.AI & society · 2022Article
- Closing the loop - The human role in artificial intelligence for education.Frontiers in psychology · 2022Article
- ProcData: An R Package for Process Data Analysis.Psychometrika · 2021Article
- Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes.Psychometrika · 2021Article
- Editorial: Process Data in Educational and Psychological Measurement.Frontiers in psychology · 2021Article
- Causal Structure Learning in Continuous Systems.Frontiers in psychology · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influencing students' educational achievements first requires understanding the underlying processes that lead to variation in students' performance. Researchers are therefore increasingly interested in analyzing the differences in behavior displayed in educational assessments rather than merely assessing their outcomes. Such analyses provide valuable information on the differences between successful and unsuccessful students and help to design appropriate interventions. Complex problem-solving (CPS) tasks have proven to provide particularly rich process data as they allow for a multitude of behaviors several of which can lead to a successful performance. So far, this data has often been analyzed on a rather aggregated level looking at an average number of actions or predefined strategies with only a few articles investigating the specific actions performed. In this paper, we report the results of an exploratory analysis of CPS log-files that is aimed at distinguishing between students that applied the correct strategy to a problem but failed to solve it and those applying the strategy successfully. In that, the sequence of behavior displayed is reduced to interpretable parts (n-grams) that allow searching for meaningful differences between the two groups of students. This level of analysis allows finding previously undefined or unknown patterns within the data and increases our understanding of the processes underlying successful problem-solving behavior even further.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.