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Michael J. Platow; Georgina C. Lee; Chris Wang; Diana M. Grace; Mila Knezovic; Lillian Smyth; Kenneth I. Mavor – Social Psychology of Education: An International Journal, 2025
In an on-line format, the current research measured students' (N = 453) social identifications as "university students" and as "university customers" to predict their self-reported engagement in deep and surface learning, attitudes toward cheating, intent to continue their studies, and their psychological well-being (e.g.,…
Descriptors: College Students, Learning Processes, Psychological Patterns, Well Being
Ricardo Navarro; Vanessa Vega; Hugo Bayona; Victor Bernal; Arlis Garcia – Journal of Education and e-Learning Research, 2024
This study aimed to determine whether the three dimensions of academic engagement (cognitive, emotional and behavioral) were positively associated with perceived learning and academic performance. The participants were 301 university students from Lima. Structural equation models were used to test the proposed theoretical relationship between the…
Descriptors: Learning Processes, Academic Achievement, Learner Engagement, Electronic Learning
Yanhui Mao; Xinyi Luo; Shujun Wang; Zhuozhu Mao; Mei Xie; Marino Bonaiuto – British Journal of Educational Psychology, 2024
Background: Existing research has linked individuals' flow experience - a positive affective and cognitive state of deep immersion and engagement in daily activities - and their well-being, particularly among university students. A growing number of longitudinal studies have further contributed to this understanding. However, limited attention has…
Descriptors: Learning Processes, Attention, Student Welfare, College Students
Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
Marita Cronqvist – European Journal of Education, 2024
In education, there is a risk that joy in learning is counteracted by allowing a performance culture to dominate. Research shows that emotions are of great importance for results, motivation and well-being. This study aims to add knowledge about the essential meanings of joy in learning based on students' lived experiences and thereby implications…
Descriptors: Foreign Countries, Educational Environment, Elective Courses, Psychological Patterns
Hayes, William M.; Wedell, Douglas H. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
In reinforcement learning (RL) tasks, decision makers learn the values of actions in a context-dependent fashion. Although context dependence has many advantages, it can lead to suboptimal preferences when choice options are extrapolated beyond their original encoding contexts. Here, we tested whether we could manipulate context dependence in RL…
Descriptors: Reinforcement, Learning Processes, Attention, Context Effect
Garro-Mena, Leonardo; Calderón-Castro, Jenny Andrea – Online Submission, 2022
Introduction: Various studies have associated boredom in educational processes with a variety of negative effects. It is believed that boredom is caused by a failure in the environment to fulfill our need for motivation. Many tools (scales) have been developed to measure it. However, these scales are designed to measure global boredom, that is, at…
Descriptors: College Students, Student Motivation, Psychological Patterns, Learner Engagement
Tang, Qing; Zhang, Tao; Jiang, Lixia – Education and Information Technologies, 2023
The rapid development and extensive application of information and communication technologies has facilitated blended instruction, which is regarded as the "new normal" in the field of modern education and has become the focus of academic research. This study thus explored the influencing mechanism of blended instruction on students'…
Descriptors: Blended Learning, Instructional Effectiveness, College Students, Foreign Countries
Coto, Mayela; Mora, Sonia; Grass, Beatriz; Murillo-Morera, Juan – Computer Science Education, 2022
Background and context: Emotions are ubiquitous in academic settings and affect learning strategies, motivation to persevere, and academic outcomes, however they have not figured prominently in research on learning to program at the university level. Objective: To summarize the current knowledge available on the effect of emotions on students…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Emotional Response
Yahui Wang; Jia Liu – British Journal of Educational Studies, 2024
The COVID-19 pandemic has exerted a profound impact on numerous facets of our daily lives, including in higher education. International students have encountered unique challenges due to their vulnerability stemming from living abroad, including cultural adjustments, language barriers, and separation from families and friends. This review aims to…
Descriptors: COVID-19, Pandemics, Foreign Students, Influences
Larsen, Inge Birkbak; Blenker, Per; Neergaard, Helle – Education & Training, 2023
Purpose: The aim of this paper is to examine the usefulness of the stimulus-organism-response (S-O-R) model for systematizing and further exploring the knowledge of the role of entrepreneurship education (EE) in fostering students' entrepreneurial mindset (EM). Current research studying the EM in an educational setting often fails to conceptualize…
Descriptors: Entrepreneurship, College Students, Business Education, Models
Yilun Yang; Tianqi Jiang; Liping Chen – Asia-Pacific Education Researcher, 2024
Language teachers cannot ignore the role of technology in young language learners' lives to engage and motivate them. Therefore, the current research investigated the mediating effect of students' learning and cognitive styles on the relationship between their emotions and situational motivation. 1089 respondents were selected from different…
Descriptors: Psychological Patterns, Metacognition, Educational Environment, Technology Uses in Education
Zhao, Fangzheng; Mayer, Richard E. – Educational Technology Research and Development, 2023
How does the emotional tone (happy or sad) and gender (male or female) of the instructor's computer-generated voice in a multimedia lesson affect learning processes and outcomes for female learners (Experiment 1) and male learners (Experiment 2)? In two experiments, college students viewed a 2.5 min narrated slideshow on the formation of lightning…
Descriptors: Emotional Response, Psychological Patterns, Intonation, Gender Differences
Ashley Herr-Perrin – ProQuest LLC, 2022
The concept of trauma has garnered interest since the Vietnam War and continues to be a visible topic (Center for Substance Abuse Treatment [CSAT], 2014) in the literature. Research has determined that the prevalence of trauma is widespread and its effects are potentially far-reaching, often outlasting the event for many years (Substance Abuse and…
Descriptors: Trauma Informed Approach, Learning Processes, Student Attitudes, Student Welfare
Sinha, Tanmay – Journal of the Learning Sciences, 2022
Background: Problem-solving followed by instruction (PS-I) is a powerful design shown to transform students' conceptual understanding and transfer. Within PS-I, no research has examined how moment-by-moment determinants of affective states impact the problem-solving phase and posttest performance. Methods: I develop a multimodal learning analytics…
Descriptors: College Students, Problem Solving, Instruction, Emotional Response