This project examines the use of technology for accurately measuring student emotions during mathematics game-play. Specifically, we will examine children’s emotions experienced while playing various games on the computer. We will be working with elementary school-aged students to develop a game that can help increase positive emotions (i.e., enjoyment) and decrease negative emotions (i.e., anxiety) during game-based learning.
Project Status:
Data Collection Beginning February 2022
For more information about this study, please email:
mathgamestudy@utoronto.ca
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[Boy playing on computer]
This project uses multi-channel technology to examine the moment-to-moment emotions involved in mathematics learning. During various math tasks, this study looks at the role emotions such as anger, frustration and confusion play in mathematics learning.
Project Status:
Collecting data (Seeking participants)
This project examines learner emotional, cognitive and meta-cognitive states during complex learning with various advanced learning technologies, using neuro and physiological monitoring systems, advanced statistical modelling, data mining, and machine learning approaches.
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Project Status:
Data collection complete
This project examines how the information students attend to affect emotion processes, thoughts, and subsequent learning. Additionally, this project is exploring how students use strategies learning strategies such as goal setting and monitoring, to alter these processes during learning.
Project Status:
Data collection complete
This project examines pre-cognitive performance states, levels of stress and regulation through the implementation of mindfulness and biofeedback interventions. Psycho-physiological measures of the effect of passive and active stress recovery on cognitive performance are explored.
Project Status:
Data collection complete
This project explores the role that music plays in a learner’s emotion states. Examination of physiological and emotional responses to music offer insights into the constructs that aide in the perception and use of music while learning.
Project Status:
Data collection complete
This project examines the emotional experience of teachers when engaging with students, and how teachers perceptions of mental health in the classroom impact interactions with students.
Project Status:
Data collection complete
This project examines how environmental stressors such as academic stress, family stress and peer stress can influence childrens’ basal stress level by using a novel physiological measurement called transdermal optical imaging (TOI) technology.
Project Status:
In progress
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Project Status:
Data collection complete
This project examines the relationship between emotions, personality, and grit to better understand how emotions affect understanding a concept or argument.
Project Status:
Data collection: Participant recruitment underway. Please contact Milan at steven.lazic@mail.utoronto.ca for more information if you are interested in participating.
1. A systematic review and meta-analysis which examines the physiological reactivity to social stressor stimuli in children and adolescents with ASD.Â
Status:
2. An experimental study about the impacts of eye contact on physiological reactivity and cognitive performance.
Status:
This project examines the impact of COVID-19 on 2020 Ontario Grade 12 Graduates. We are examining how COVID-19 has impacted these students’ transition to university, stress, and other mental health symptoms.Â
Project Status:
Time 1 data collection: Complete
Time 2 data collection: Complete
This project aims to understand how everyday environmental sounds, particularly human-generated orofacial sounds such as sniffing and eating, negatively affect individuals with Misophonia in academic settings, and to identify the coping mechanisms used by these individuals.
Project Status:
In Progress
For more information, please contact Mandana Jafarian.
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