A systematic literature review on personalized gamification: Algorithms and techniques

Y Xiao, KF Hew - EdMedia+ Innovate Learning, 2023 - learntechlib.org
In recent years, personalized gamification is being touted as a means to address the
challenges associated with the commonly used one-size-fits-all gamification approach in …

Profiling the skill mastery of introductory programming students: A cognitive diagnostic modeling approach

MB Garcia - Education and Information Technologies, 2024 - Springer
The global shortage of skilled programmers remains a persistent challenge. High dropout
rates in introductory programming courses pose a significant obstacle to graduation …

Player Types in Gamified Learning: Conceptualization, Validation, and Profiling

Y Xiao, X Chen, Y Jin, KF Hew - International Journal of Human …, 2024 - Taylor & Francis
Personalized gamification is often considered a superior approach to a one-size-fits-all
method. This study addresses three limitations of previous personalized gamification …

Assessing concept mapping competence using item expansion‐based diagnostic classification analysis

S Xia, P Zhan, KKH Chan… - Journal of Research in …, 2023 - Wiley Online Library
Abstract Concept mapping is widely used as a tool for assessing students' understanding of
science. To fully realize the diagnostic potential of concept mapping, a scoring method that …

Personalized gamification versus one-size-fits-all gamification in fully online learning: Effects on student motivational, behavioral and cognitive outcomes

Y Xiao, KF Hew - Learning and Individual Differences, 2024 - Elsevier
Abstract The “one-size-fits-all” approach commonly used in gamified learning is unlikely to
optimize the effects of gamification due to individual differences. Personalized gamification …

Attribute continuity in cognitive diagnosis models: impact on parameter estimation and its detection

W Ma, J Chen, Z Jiang - Behaviormetrika, 2023 - Springer
Most cognitive diagnosis models assume that skills or attributes are binary latent variables,
which greatly simplifies the interpretation of model parameters. However, the assumption …

Exploring approaches for estimating parameters in cognitive diagnosis models with small sample sizes

MA Sorrel, S Escudero, P Nájera, RS Kreitchmann… - Psych, 2023 - mdpi.com
Cognitive diagnostic models (CDMs) are increasingly being used in various assessment
contexts to identify cognitive processes and provide tailored feedback. However, the most …

Knowledge Integration in Science Learning: Tracking Students' Knowledge Development and Skill Acquisition with Cognitive Diagnosis Models

X Xu, S Ren, D Zhang, T Xin - … Measurement: Issues and …, 2024 - Wiley Online Library
In scientific literacy, knowledge integration (KI) is a scaffolding‐based theory to assist
students' scientific inquiry learning. To drive students to be self‐directed, many courses have …

Elevated serum periostin levels among arsenic-exposed individuals and their associations with the features of asthma

SR Tony, N Haque, AE Siddique, M Khatun, M Rahman… - Chemosphere, 2022 - Elsevier
Chronic exposure to arsenic via drinking water is a serious public health issue in many
countries. Arsenic causes not only cancers but also non-malignant diseases, including …

Determining the number of attributes in the GDINA model

J Wang, J Duan - British Journal of Mathematical and Statistical …, 2024 - Wiley Online Library
Exploratory cognitive diagnosis models have been widely used in psychology, education
and other fields. This paper focuses on determining the number of attributes in a widely used …