Design and analysis of microworlds and puzzles for block-based programming
R Pelánek, T Effenberger - Computer Science Education, 2022 - Taylor & Francis
ABSTRACT Background and Context Block-based programming is a popular approach to
teaching introductory programming. Block-based programming often works in the context of …
teaching introductory programming. Block-based programming often works in the context of …
Digital learning games in Artificial Intelligence in Education (AIED): A review
BM McLaren, HA Nguyen - Handbook of Artificial Intelligence in …, 2023 - elgaronline.com
Digital and computer games have captured the attention and imagination of people around
the world. Lobel et al.(2017) report that Dutch children (7 to 12 years old) play digital games …
the world. Lobel et al.(2017) report that Dutch children (7 to 12 years old) play digital games …
Automated generation and tagging of knowledge components from multiple-choice questions
Knowledge Components (KCs) linked to assessments enhance the measurement of student
learning, enrich analytics, and facilitate adaptivity. However, generating and linking KCs to …
learning, enrich analytics, and facilitate adaptivity. However, generating and linking KCs to …
The impact of gender in learning with games: A consistent effect in a math learning game
There is an established gender gap in middle school math education, where female
students report higher anxiety and lower engagement, which negatively impact their …
students report higher anxiety and lower engagement, which negatively impact their …
Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics.
A challenge in digital learning games is assessing students' learning behaviors, which are
often intertwined with game behaviors. How do we know whether students have learned …
often intertwined with game behaviors. How do we know whether students have learned …
Exploring how gender and enjoyment impact learning in a digital learning game
In digital learning games, do game mechanics that promote learning and those that promote
enjoyment have different effects on students' experience? Do males or females learn from or …
enjoyment have different effects on students' experience? Do males or females learn from or …
How well do contemporary knowledge tracing algorithms predict the knowledge carried out of a digital learning game?
Despite considerable advances in knowledge tracing algorithms, educational technologies
that use this technology typically continue to use older algorithms, such as Bayesian …
that use this technology typically continue to use older algorithms, such as Bayesian …
Decimal Point: A Decade of Learning Science Findings with a Digital Learning Game
BM McLaren - Artificial Intelligence in Education: The Intersection of …, 2024 - Springer
Abstract The McLearn Lab at Carnegie Mellon University (CMU) first designed and
developed the artificial intelligence (AI) in education learning game, Decimal Point, in 2013 …
developed the artificial intelligence (AI) in education learning game, Decimal Point, in 2013 …
csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention
Abstract Knowledge tracing (KT) is the task of predicting students' future performances
based on their past interactions in online learning systems. When new students enter the …
based on their past interactions in online learning systems. When new students enter the …
Extending deep knowledge tracing: Inferring interpretable knowledge and predicting post-system performance
Recent student knowledge modeling algorithms such as Deep Knowledge Tracing (DKT)
and Dynamic Key-Value Memory Networks (DKVMN) have been shown to produce accurate …
and Dynamic Key-Value Memory Networks (DKVMN) have been shown to produce accurate …