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Tianjiao Zhao; Jiayi Jia; Tianfei Zhu; Junyu Yang – International Journal of Technology and Design Education, 2024
Designers are always pursuing design with suitable emotions. Effective emotional fusion not only produces a good user experience but also extends the product lifecycle. The decoding of design emotion and the use of design emotion language should run through the entire design process. In this study, we propose a new emotion-embedded design flow…
Descriptors: Psychological Patterns, Design, Artificial Intelligence, Databases
Sarah J. Palmer; Adrian Fanucci-Kiss; Ella Kipervassar; Isha Jalnapurkar; Steven M. Hodge; Jean A. Frazier; David Cochran – Journal of Autism and Developmental Disorders, 2024
This study investigated how emotional valence of a perceived emotional state impacted performance on the Reading the Mind in the Eyes task (RMET) in adolescents with autism spectrum disorder (ASD) and typically developing (TD) controls. Valence of items on the RMET, Adult (RMET-A) and Child (RMET-C) versions, was first classified in a survey of…
Descriptors: Autism Spectrum Disorders, Psychological Patterns, Adolescents, Emotional Response
Yi Sun; Hongbiao Yin – Social Psychology of Education: An International Journal, 2024
Using Habermas's three human interests as a philosophical lens, a typology of emotion regulation was developed based on previous work. There are three theoretical perspectives on emotion regulation. The first perspective, "emotion regulation as steps," considers emotion regulation as an individual phenomenon and detachable entity. The…
Descriptors: Emotional Response, Self Control, Psychological Patterns, Educational Research
Ya Xiao; Khe Foon Hew – Interactive Learning Environments, 2024
In recent years, many studies have highlighted the need to go beyond the "one-size-fits-all" gamification approach to tailored or personalised gamification to optimise students' engagement based on their user attributes. However, little is known about its effectiveness on student engagement. To advance the understanding of personalized…
Descriptors: Individualized Instruction, Gamification, Student Participation, Learner Engagement
Marta Marcilla-Jorda; Catarina Grande; Vera Coelho; César Rubio-Belmonte; Micaela Moro-Ipola – Journal of Autism and Developmental Disorders, 2025
Autism spectrum disorder (ASD) is characterized by impairments in many functional areas requiring long-term interventions to promote autonomy. This study aims to map The Sensory Profile™ 2 (SP-2), one of the most widely used assessment tools in children with ASD, with the International Classification of Functioning, Disability and Health for…
Descriptors: Sensory Experience, Profiles, Autism Spectrum Disorders, Classification
Reveka Voulgari; Konstantina Koutrouba – Educational Studies, 2024
The present research aims to identify the depth of reflection attained by primary school teachers through the Critical Incident Technique (CIT) according to the categorisation of Lee (2005) and specific factors that could determine a higher level of reflection. For the first research phase twenty teacher semi-structured interviews were conducted.…
Descriptors: Elementary School Teachers, Critical Incidents Method, Reflection, Classification
V. N. Vimal Rao; Jeffrey K. Bye; Sashank Varma – Cognitive Research: Principles and Implications, 2024
The 0.05 boundary within Null Hypothesis Statistical Testing (NHST) "has made a lot of people very angry and been widely regarded as a bad move" (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What is the psychological standing of the 0.05 boundary for statistical significance? We…
Descriptors: Psychological Patterns, Statistical Analysis, Testing, Statistical Significance
Laosum, Thanyasinee – Asian Association of Open Universities Journal, 2023
Purpose: This paper aims to develop indicators of happiness in learning of the Thai open university (TOU)'s undergraduate students. Design/methodology/approach: Sampling for the study was comprised of two groups. Group I comprised eight lecturers who are experts in their disciplines and six students who were purposively sampled. The focus group…
Descriptors: Foreign Countries, Undergraduate Students, Open Universities, Psychological Patterns
Jehanzeb Rashid Cheema – Journal of Education in Muslim Societies, 2024
This study explores the relationship between the Spiral Dynamics and the 3H (head, heart, hands) models of human growth and development, using constructs such as empathy, moral reasoning, forgiveness, and community mindedness that have been shown to have implications for education. The specific research question is, "Can a combination of…
Descriptors: Correlation, Factor Analysis, Computer Software, Moral Values
Delali Kwasi Dake; Godwin Kudjo Bada – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study focused on learner sentiments and experiences after using the Moodle assessment module and trained a machine learning classifier for future sentiment predictions. Background: Learner assessment is one of the standard methods instructors use to measure students' performance and ascertain successful teaching objectives. In…
Descriptors: Psychological Patterns, Artificial Intelligence, Online Surveys, Technology Integration
Seheryeli, Merve Yildirim; Anil, Duygu – International Journal of Assessment Tools in Education, 2020
This study is a survey study which aims to determine underlying causes of anger and the anger levels of individuals, in the sample cases and mood-states defined in the research. 255 people participated by filling in forms developed by the researcher. They were asked to rank 6 mood-state expressions between 1 and 6, to classify 23 sample case…
Descriptors: Psychological Patterns, Classification, Scaling, Gender Differences
Li, Maximilian Xiling; Nadj, Mario; Maedche, Alexander; Ifenthaler, Dirk; Wöhler, Johannes – Technology, Knowledge and Learning, 2022
With the advent of physiological computing systems, new avenues are emerging for the field of learning analytics related to the potential integration of physiological data. To this end, we developed a physiological computing infrastructure to collect physiological data, surveys, and browsing behavior data to capture students' learning journey in…
Descriptors: Physiology, Computation, Artificial Intelligence, Psychological Patterns
Price, Gwendolyn F.; Ogren, Marissa; Sandhofer, Catherine M. – Developmental Psychology, 2022
The ability to categorize emotions has long-term implications for children's social and emotional development. Therefore, identifying factors that influence early emotion categorization is of great importance. Yet, whether and how language impacts emotion category development is still widely debated. The present study aimed to assess how labels…
Descriptors: Psychological Patterns, Labeling (of Persons), Classification, Preschool Children
Wang, Jiandong; Liu, Jin; DiStefano, Christine; Pan, Gaofeng; Gao, Ruiqin; Tang, Jijun – Journal of Psychoeducational Assessment, 2021
Deep neural network (DNN) has been widely used in various artificial intelligence applications and is, unsurprisingly, penetrating the field of school psychology. In the school environment, universal screening is used by teachers to identify children's emotional and behavioral risk (EBR) within a screener. EBR can be used to predict possible…
Descriptors: Children, Psychological Patterns, Child Behavior, At Risk Persons
Min-Ying Tsai – SAGE Open, 2025
The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…
Descriptors: Foreign Countries, Psychometrics, Classification, Psychological Patterns