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A systematic review of empirical studies using log data from open‐ended learning environments to measure science and engineering practices

https://doi.org/10.1111/bjet.13289
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Students' experimentation strategies in design: Is process data enough?
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The many faces of scientific inquiry: Effectively measuring what students do and not only what they say
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Identifying patterns of students' performance on simulated inquiry tasks using PISA 2015 log‐file data
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Understanding User Behavior Through Log Data and Analysis
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The Usefulness of Log Based Clustering in a Complex Simulation Environment
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Who Needs Help? Automating Student Assessment Within Exploratory Learning Environments
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Coherence Over Time: Understanding Day-to-Day Changes in Students’ Open-Ended Problem Solving Behaviors
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Comparing Representations for Learner Models in Interactive Simulations
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Assessing Model-Based Reasoning using Evidence- Centered Design
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Identifying Productive Inquiry in Virtual Labs Using Sequence Mining
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Characterizing Students’ Learning Behaviors Using Unsupervised Learning Methods
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Improving Construct Validity Yields Better Models of Systematic Inquiry, Even with Less Information
inferredcites →https://doi.org/10.1007/978-3-642-57821-2_5openalex-snapshot
Open-Ended Learning Environments: Foundations, Assumptions, and Implications for Automated Design
inferredcites →https://doi.org/10.1007/978-3-658-27602-7openalex-snapshot
Systematic Reviews in Educational Research: Methodology, Perspectives and Application
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Logfile analyses of successful and unsuccessful strategy use in complex problem-solving: a cross-national comparison study
inferredcites →https://doi.org/10.1007/s10489-010-0267-7openalex-snapshot
Properties of Bayesian student model for INQPRO
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Format Effects of Empirically Derived Multiple-Choice Versus Free-Response Instruments When Assessing Graphing Abilities
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Tools for Science Inquiry Learning: Tool Affordances, Experimentation Strategies, and Conceptual Understanding
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Enhancing Digital Simulated Laboratory Assessments: a Test of Pre-Laboratory Activities with the Learning Error and Formative Feedback Model
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Operationalizing Optimization in a Middle School Virtual Engineering Internship
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A Learning Experience in Inquiry-Based Physics with Immersive Virtual Reality: Student Perceptions and an Interaction Effect Between Conceptual Gains and Attitudinal Profiles
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The learning analytics of model-based learning facilitated by a problem-solving simulation game
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Leveraging machine-learned detectors of systematic inquiry behavior to estimate and predict transfer of inquiry skill
inferredcites →https://doi.org/10.1007/s11336-020-09725-2openalex-snapshot
Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data
inferredcites →https://doi.org/10.1007/s11336-020-09734-1openalex-snapshot
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
inferredcites →https://doi.org/10.1007/s11423-013-9301-xopenalex-snapshot
Computer-based assessment of Complex Problem Solving: concept, implementation, and application
inferredcites →https://doi.org/10.1007/s40593-016-0131-yopenalex-snapshot
Applying a Framework for Student Modeling in Exploratory Learning Environments: Comparing Data Representation Granularity to Handle Environment Complexity
inferredcites →https://doi.org/10.1007/s40593-020-00199-yopenalex-snapshot
Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments
inferredcites →https://doi.org/10.1016/j.chb.2016.02.095openalex-snapshot
Understanding students' performance in a computer-based assessment of complex problem solving: An analysis of behavioral data from computer-generated log files
inferredcites →https://doi.org/10.1016/j.chb.2022.107304openalex-snapshot
Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond
inferredcites →https://doi.org/10.1016/j.compedu.2015.10.018openalex-snapshot
Computer-generated log-file analyses as a window into students' minds? A showcase study based on the PISA 2012 assessment of problem solving
inferredcites →https://doi.org/10.1016/j.compedu.2018.07.013openalex-snapshot
Students' exploration strategies in computer-simulated complex problem environments: A latent class approach
inferredcites →https://doi.org/10.1016/j.edurev.2015.02.003openalex-snapshot
Phases of inquiry-based learning: Definitions and the inquiry cycle
inferredcites →https://doi.org/10.1016/j.learninstruc.2017.08.005openalex-snapshot
Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment
inferredcites →https://doi.org/10.1016/j.lindif.2013.10.006openalex-snapshot
Cross-national gender differences in complex problem solving and their determinants
inferredcites →https://doi.org/10.1016/j.tsc.2015.04.008openalex-snapshot
Using educational data mining to assess students’ skills at designing and conducting experiments within a complex systems microworld
inferredcites →https://doi.org/10.1021/ed072p287openalex-snapshot
National Science Education Standards
inferredcites →https://doi.org/10.1021/ed500531aopenalex-snapshot
Making Sense of Students’ Actions in an Open-Ended Virtual Laboratory Environment
inferredcites →https://doi.org/10.1080/03057267.2012.720770openalex-snapshot
Learning science through computer games and simulations
inferredcites →https://doi.org/10.1080/08957347.2011.554604openalex-snapshot
Validating Measurement of Knowledge Integration in Science Using Multiple-Choice and Explanation Items
inferredcites →https://doi.org/10.1080/10494820.2019.1639061openalex-snapshot
Mining big data to help make informed decisions for designing effective digital educational games
inferredcites →https://doi.org/10.1080/10494820.2019.1689146openalex-snapshot
Predicting student understanding by modeling interactive exploration of evidence during an online science investigation
inferredcites →https://doi.org/10.1080/10508406.2013.837391openalex-snapshot
From Log Files to Assessment Metrics: Measuring Students' Science Inquiry Skills Using Educational Data Mining
inferredcites →https://doi.org/10.1080/10508406.2014.954750openalex-snapshot
Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming
inferredcites →https://doi.org/10.1109/cict.2016.137openalex-snapshot
Examining Diagnosis Paths: A Process Mining Approach
inferredcites →https://doi.org/10.1109/iiai-aai.2017.57openalex-snapshot
Learning Process Analysis Based on Sequential Pattern Mining and Lag Sequential Analysis in a Web-Based Inquiry Science Environment
inferredcites →https://doi.org/10.1109/mite.2014.7020232openalex-snapshot
Exploring the link between initial and final diagnosis in a medical intelligent tutoring system
inferredcites →https://doi.org/10.1109/sisy.2016.7601491openalex-snapshot
Exploring data mining possibilities on computer based problem solving data
inferredcites →https://doi.org/10.1109/t4e.2019.00-33openalex-snapshot
Capturing Learner Interaction in Computer-Based Learning Environment: Design and Application
inferredcites →https://doi.org/10.1109/tlt.2015.2513387openalex-snapshot
Integrating Model-Driven and Data-Driven Techniques for Analyzing Learning Behaviors in Open-Ended Learning Environments
inferredcites →https://doi.org/10.1111/bjet.12331openalex-snapshot
Dataset of scientific inquiry learning environment
inferredcites →https://doi.org/10.1111/bmsp.12197openalex-snapshot
A latent topic model with Markov transition for process data
inferredcites →https://doi.org/10.1111/j.1745-3984.1980.tb00811.xopenalex-snapshot
CONSTRUCT VALIDITY OF FREE‐RESPONSE AND MACHINE‐SCORABLE FORMS OF A TEST
inferredcites →https://doi.org/10.1111/j.1745-3984.1996.tb00498.xopenalex-snapshot
Test Theory Reconceived
inferredcites →https://doi.org/10.1111/jcal.12128openalex-snapshot
Towards general models of effective science inquiry in virtual performance assessments
inferredcites →https://doi.org/10.1111/jcal.12451openalex-snapshot
Exploring behavioural patterns during complex problem‐solving
inferredcites →https://doi.org/10.1111/jedm.12107openalex-snapshot
Using Networks to Visualize and Analyze Process Data for Educational Assessment
inferredcites →https://doi.org/10.1145/2876034.2893410openalex-snapshot
Predicting Student Learning using Log Data from Interactive Simulations on Climate Change
inferredcites →https://doi.org/10.1145/2930238.2930271openalex-snapshot
Modeling User Exploration and Boundary Testing in Digital Learning Games
inferredcites →https://doi.org/10.1145/3027385.3027422openalex-snapshot
Modeling exploration strategies to predict student performance within a learning environment and beyond
inferredcites →https://doi.org/10.1145/3303772.3303831openalex-snapshot
Clustering Analysis Reveals Authentic Science Inquiry Trajectories Among Undergraduates
inferredcites →https://doi.org/10.1145/3430895.3460127openalex-snapshot
Automating the Assessment of Problem-solving Practices Using Log Data and Data Mining Techniques
inferredcites →https://doi.org/10.1145/3448139.3448193openalex-snapshot
Examining the Links between Log Data and Reflective Problem-solving Practices in An Interactive Task
inferredcites →https://doi.org/10.1145/3513140openalex-snapshot
Automated Assessment in Computer Science Education: A State-of-the-Art Review
inferredcites →https://doi.org/10.1177/0146621617748325openalex-snapshot
Latent Class Analysis of Recurrent Events in Problem-Solving Items
inferredcites →https://doi.org/10.1177/0735633120960422openalex-snapshot
Automatic Assessment of Students’ Engineering Design Performance Using a Bayesian Network Model
inferredcites →https://doi.org/10.1186/2196-7822-1-2openalex-snapshot
Developing a computer-based assessment of complex problem solving in Chemistry
inferredcites →https://doi.org/10.14742/ajet.2759openalex-snapshot
A Tale of Three Cases: Examining Accuracy, Efficiency, and Process Differences in Diagnosing Virtual Patient Cases
inferredcites →https://doi.org/10.1787/9789264208070-enopenalex-snapshot
PISA 2012 Results: Creative Problem Solving (Volume V)
inferredcites →https://doi.org/10.18260/1-2--28027openalex-snapshot
Characterizing Students' Micro-Iterations Strategies through Data-Logged Design Actions
inferredcites →https://doi.org/10.18608/jla.2015.21.3openalex-snapshot
Using Coherence Analysis to Characterize Self-Regulated Learning Behaviours in Open-Ended Learning Environments
inferredcites →https://doi.org/10.22318/icls2020.2593openalex-snapshot
Using Machine Learning to Understand Students' Learning Patterns in Simulations.
inferredcites →https://doi.org/10.3102/0091732x20903304openalex-snapshot
Mining Big Data in Education: Affordances and Challenges
inferredcites →https://doi.org/10.3389/fpsyg.2018.00302openalex-snapshot
The Efficacy and Development of Students' Problem-Solving Strategies During Compulsory Schooling: Logfile Analyses
inferredcites →https://doi.org/10.3389/fpsyg.2018.01372openalex-snapshot
Analysis of Process Data of PISA 2012 Computer-Based Problem Solving: Application of the Modified Multilevel Mixture IRT Model
inferredcites →https://doi.org/10.3389/fpsyg.2018.02231openalex-snapshot
Data Mining Techniques in Analyzing Process Data: A Didactic
inferredcites →https://doi.org/10.3389/fpsyg.2019.00486openalex-snapshot
Statistical Analysis of Complex Problem-Solving Process Data: An Event History Analysis Approach
inferredcites →https://doi.org/10.3389/fpsyg.2019.00777openalex-snapshot
Taking a Closer Look: An Exploratory Analysis of Successful and Unsuccessful Strategy Use in Complex Problems
inferredcites →https://doi.org/10.3389/fpsyg.2019.01975openalex-snapshot
Exploring Multiple Goals Balancing in Complex Problem Solving Based on Log Data
inferredcites →https://doi.org/10.3389/fpsyg.2019.02461openalex-snapshot
Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests
inferredcites →https://doi.org/10.4324/9780203813799openalex-snapshot
Theoretical Foundations of Learning Environments
inferredcites →https://doi.org/10.5281/zenodo.3554617openalex-snapshot
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
inferredcites →https://doi.org/10.5281/zenodo.3554645openalex-snapshot
Leveraging Educational Data Mining for Real-time Performance Assessment of Scientific Inquiry Skills within Microworlds
inferredcites →https://doi.org/10.5281/zenodo.3554647openalex-snapshot
Identifying Key Features of Student Performance in Educational Video Games and Simulations through Cluster Analysis
inferredcites →https://doi.org/10.5281/zenodo.3554705openalex-snapshot
Analyzing Process Data from Game/Scenario-Based Tasks: An Edit Distance Approach

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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One Code to Predict Them All: Universal Encoding for Inquiry Modeling
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