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…

Intuition is one of the main factors that drive our everyday decision-making which happens quickly and unconsciously. Individuals often rely on the use of intuition to solve either simple or complex problems. The purpose of this research study is to further break down an individual's thinking processes by understanding how different groups of…

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…

This study aimed to determine the effect of cognitive and affective factors on the performance of prospective mathematics teachers. Cognitive factors include cognitive independence level and working memory capacity, while affective factor include math anxiety. Mathematical performance was then assessed as basic math skills, advanced math skills…

Affects are intuitively accepted as having a role in the key stages that determine success in problem-solving (PS) and problem-posing (PP). Two disjoint groups of prospective mathematics teachers with similar background and competences have been exposed to PS and PP activities, respectively, and they had to describe their affective states during…

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…

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…

The flipped classroom approach is increasingly popular. The effectiveness of the flipped classroom is promising, yet there is little consensus on whether and how varying the number of flipped lessons influences the overall course effectiveness and the affective perceptions of flipped learning. This is important because of the potential impacts on…

Background: Within team sports, players' ability to inhibit inappropriate behavioral responses and flexibly adapt to upcoming challenges relates significantly to their game performance. As such, there have been calls for cognitively fostering programs to form the basis of game teaching and coaching practice. However, only few studies have tested…

This paper explores student emotion and learning experiences fostered by lecturing-style instruction in Real-Analysis problem-centered lessons. We focus on two lessons that were taught by two reputable instructors and involved challenging, mathematically-related problems the students did not understand. Nonetheless, one lesson evoked negative…

In teacher education programs, student teachers gain their first autonomous teaching experiences. While students regard the teaching practicum as the most valued part of their teacher education program, they also consider it to be the most stressful. Student teachers are most concerned about daily hassles in class, mostly related to poor student…

This article seeks to provide researchers and practitioners in laboratory education, particularly those involved in the curriculum design and implementation of teaching laboratories at university level, with a conceptual framework and a working model for an integrated assessment of learning domains, by attending to a more holistic approach to…

The role of affective states in learning has recently attracted considerable attention in education research. The accurate prediction of affective states can help increase the learning gain by incorporating targeted interventions that are capable of adjusting to changes in the individual affective states of students. Until recently, most work on…

This study aims to identify effective affective states and behaviors of middle-school students' online mathematics learning in predicting their choices to study science, technology, engineering, and mathematics (STEM) in higher education based on a "positive-affect-to-success hypothesis." The dataset (591 students and 316,974 actions)…

Front camera data from tablets used in educational settings offer valuable clues to student behavior, attention, and affective state. Due to the camera's angle of view, the face of the student is partially occluded and skewed. This hinders the ability of experts to adequately capture the learning process and student states. In this paper, we…