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Horwitz, Paul; Reichsman, Frieda; Lord, Trudi; Dorsey, Chad; Wiebe, Eric; Lester, James – Technology, Knowledge and Learning, 2023
Studies of educational games often treat them as "black boxes" (Black and Wiliam in Phi Delta Kappan 80: 139-48, 1998; Buckley et al. in Int J LearnTechnol 5:166-190, 2010; Buckley et al. in J Sci Educ Technol 13: 23-41, 2010) and measure their effectiveness by exposing a treatment group of students to the game and comparing their…
Descriptors: Educational Games, Genetics, Middle School Students, High School Students
Dever, Daryn A.; Wiedbusch, Megan D.; Cloude, Elizabeth B.; Lester, James; Azevedo, Roger – Discourse Processes: A Multidisciplinary Journal, 2022
This study examined 57 learners' emotions (i.e., joy, anger, confusion, frustration) as they engaged with scientific content while learning about microbiology with Crystal Island, a game-based learning environment (GBLE). Measures of learners' prior knowledge, in-game text comprehension, facial expressions of emotion, and posttest reading…
Descriptors: Psychological Patterns, Reading Comprehension, Game Based Learning, Science Education
Henderson, Nathan; Acosta, Halim; Min, Wookhee; Mott, Bradford; Lord, Trudi; Reichsman, Frieda; Dorsey, Chad; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2022
Stealth assessment in game-based learning environments has demonstrated significant promise for predicting student competencies and learning outcomes through unobtrusive data capture of student gameplay interactions. However, as machine learning techniques for student competency modeling have increased in complexity, the need for substantial data…
Descriptors: Evaluation Methods, Game Based Learning, Educational Environment, Learning Strategies
Emerson, Andrew; Min, Wookhee; Azevedo, Roger; Lester, James – British Journal of Educational Technology, 2023
Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students'…
Descriptors: Game Based Learning, Natural Language Processing, Prediction, Student Evaluation
Taub, Michelle; Sawyer, Robert; Lester, James; Azevedo, Roger – International Journal of Artificial Intelligence in Education, 2020
The goal of this study was to examine college students' (n = 61) contextualized emotions during in-game actions while playing "Crystal Island," a game-based learning environment where students are tasked with solving the mystery of what illness impacted all island inhabitants. We examined emotions during in-game actions: during book…
Descriptors: Psychological Patterns, Independent Study, Logical Thinking, Game Based Learning
Emerson, Andrew; Cloude, Elizabeth B.; Azevedo, Roger; Lester, James – British Journal of Educational Technology, 2020
A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor-based technologies such as facial expression analysis and gaze tracking have introduced the opportunity to leverage multimodal data streams for learning analytics. Learning…
Descriptors: Learning Analytics, Game Based Learning, Play, Eye Movements
Cloude, Elizabeth B.; Carpenter, Dan; Dever, Daryn A.; Azevedo, Roger; Lester, James – Journal of Learning Analytics, 2021
Reflection is critical for adolescents' problem solving and learning in game-based learning environments (GBLEs). Yet challenges exist in the literature because most studies lack a theoretical perspective and clear operational definition to inform how and when reflection should be scaffolded during game-based learning. In this paper, we address…
Descriptors: Game Based Learning, Video Games, Learning Analytics, Microbiology
Rachmatullah, Arif; Reichsman, Frieda; Lord, Trudi; Dorsey, Chad; Mott, Bradford; Lester, James; Wiebe, Eric – Journal of Science Education and Technology, 2021
This study examined students' genetics learning in a game-based environment by exploring the connections between the expectancy-value theory of achievement motivation and flow theory. A total of 394 secondary school students were recruited and learned genetics concepts through interacting with a game-based learning environment. We measured their…
Descriptors: Models, Secondary School Students, Genetics, Game Based Learning