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Jessica Swenson; Emma Treadway; Krista Beranger – Journal of Engineering Education, 2024
Background: Real-world engineering problems are ill-defined and complex, and solving them may arouse negative epistemic affect (feelings experienced within problem-solving). These feelings fall into sequenced patterns (affective pathways). Over time, these patterns can alter students' attitudes toward engineering. Meta-affect (affect or cognition…
Descriptors: Engineering Education, Problem Solving, Student Attitudes, Affective Behavior
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Imdad Ali; Samiran Das – Mathematics Teaching Research Journal, 2024
This study examines the direct and indirect effects of some affective constructs, such as self-efficacy (SE), mathematics anxiety (MA) and mathematics interest (MI) on algebraic problem solving achievement (PSA). The sample of the study consists of 400 class IX secondary school students in Morigaon district of Assam, India. The instruments…
Descriptors: Self Efficacy, Student Interests, Algebra, Problem Solving
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Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
Perseverance is critical for students' achievement and may be particularly important after COVID-19. This paper includes analyses of teacher and principal interviews and student educational technology usage data to examine students' perseverance during math problem-solving across three cohorts of students during and after COVID-19. Data were…
Descriptors: COVID-19, Pandemics, Academic Persistence, Mathematics Education
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Inés M. Gómez-Chacón; José M. Marbán – ZDM: Mathematics Education, 2024
Affective and cognitive processes may be jointly researched to better understand mathematics learning, paying special interest to emotions related to knowledge acquisition. However, it remains necessary to explore these processes in studies linked to the education of pre-service mathematics teachers. This study aims to characterize epistemic…
Descriptors: Psychological Patterns, Preservice Teachers, Mathematics Teachers, Knowledge Base for Teaching
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Isabel M. Romero Albaladejo; María del Mar García López – Education and Information Technologies, 2024
The mathematical-related affect research agenda demands studies on the affect-cognition relationship, as well as interventions aimed at improving affective aspects of mathematical learning. The potential of technological environments for promoting cognitive changes in students has been widely informed and there is evidence of their influence in…
Descriptors: Geometry, Mathematics Instruction, Student Attitudes, Computer Software
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Robert Potocnik; Jana Rapuš Pavel – Cogent Education, 2024
The teaching profession can be challenging. It depends on each individual how they deal with challenges in the work environment, in communicating with colleagues and pupils, and how successful they are in solving various problems. In the study, we were interested in how four female visual arts teachers understand and become aware of the specifics…
Descriptors: Visual Arts, Art Education, Art Teachers, Social Emotional Learning
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Mingyu Feng; Natalie Brezack; Chunwei Huang; Melissa Lee; Megan Schneider; Kelly Collins; Wynnie Chan – Society for Research on Educational Effectiveness, 2024
Background/Context: Math education remains a critical focus for national education improvement. As a solution, districts in the U.S. are investing in math education technologies. Research has demonstrated the potential of these technologies to close achievement gaps (e.g., Pape et al., 2012; Roschelle et al., 2016). Student math achievement is…
Descriptors: Mathematics Education, Problem Solving, Educational Technology, Technology Uses in Education
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Christopher Dignam; Candace M. Smith; Amy L. Kelly – Journal of Education in Science, Environment and Health, 2025
The evolution of artificial intelligence (AI) and robotics in education has transitioned from automation toward emotionally responsive learning systems through artificial emotional intelligence (AEI). While AI-driven robotics has enhanced instructional automation, AEI introduces an affective dimension by recognizing and responding to human…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Computer Software
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Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students