Leveraging process data to assess adults’ problem-solving skills
Using sequence mining to identify behavioral patterns across digital tasks
Bibliographic Data
| ID | 21538696 |
|---|---|
| Authors | Qiwei He (0000-0003-1410-3839, Educational Testing Service, corresponding author), F Borgonovi (0000-0002-6759-4515, Organisation de Coopération et de Développement Economiques), Marco Paccagnella (0000-0003-3549-9190, Organisation de Coopération et de Développement Economiques) |
| Year | 2021 |
| Volume | 166 |
| Pages | 104170 |
| Publication date | 2021-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers & Education (JOURNAL) |
| Journal identifiers | ISSN: 0360-1315 • E-ISSN: 1873-782X |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.compedu.2021.104170 |
| OpenAlex | W3132421330 |
| Language | EN |
| Citations received | 28 |
| References cited | 41 |
Biology · Data mining · Machine learning · Operations management · Process mining · Sequential Pattern Mining · Work in process · Complex Systems and Decision Making · Computer Science · Engineering · Software Engineering Research · Software Engineering Techniques and Practices · Artificial Intelligence
Cognitive diagnostic assessment based on signal detection theory
Binary modeling of action sequences in problem-solving tasks
St-Century Readers
Macro- and Micro-Level Behavioral Patterns in Simulation-Based Scientific Inquiry
Understanding Adults’ Spatial Cognitive Processes
Mapping student engagement in creative thinking
A decade of reflection and thematic review on artificial intelligence's impact on educational measurement
Leveraging process data to investigate the interplay between response formats and cognitive processes in digital assessment and learning environments
From exploration to efficiency
Preschoolers’ initial planning time on problem-solving performance across task difficulties
Assessing Chinese middle school students’ computational thinking
Exploring the collective process of classroom dialogue using sequential pattern mining technique
Examining adults’ web navigation patterns in multi-layered hypertext environments
Examining adults’ behavioral patterns in a sequence of problem solving tasks in technology-rich environments
A systematic review of the use of log-based process data in computer-based assessments
Digital skilling of working adults
An exploratory process mining on students’ complex problem-solving behavior
Cognitive process grouping on students’ mathematical creative problem solving
Using sequence mining to study students’ calculator use, problem solving, and mathematics achievement in the National Assessment of Educational Progress (Naep)
Years of Interactive Tasks in Large‐scale Assessments
Uncovering adults' problem‐solving patterns from process data with hidden Markov model and network analysis
Exploring latent states of problem‐solving competence using hidden Markov model on process data
An Explainable AI Framework for Game‐Based Assessment
Clustering sequential navigation patterns in multiple‐source reading tasks with dynamic time warping method
Effects of Digital Game‐Based Learning on Student's Problem‐Solving Ability
Capturing and sharing know-how through visual process representations
Contributions of tertiary students’ background factors, learning strategies, behavioural engagement, and cognitive skills to problem solving in technology-rich environments
Unpacking Piaac’s cognitive skills measurements through engagement with Bloom’s taxonomy
| Unique citing works | 28 |
|---|---|
| Citations per year | 5,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 26 |