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Jesús Pérez; Eladio Dapena; Jose Aguilar – Education and Information Technologies, 2024
In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Reinforcement, Difficulty Level
Sebastian Stuppan; Markus Rehm; Tessa J. P. van Schijndel; Markus Wilhelm – International Journal of STEM Education, 2025
Background: In STEM education, tasks are essential for organizing and designing teaching-learning processes, as they give concrete form to curricular goals and content standards. Tasks that build on each other and initiate a learning process are particularly effective. Tasks are often specified according to their function (confrontation,…
Descriptors: STEM Education, Problem Solving, Learner Engagement, Epistemology
Gaoxia Zhu; Marlene Scardamalia; Raadiyah Nazeem; Zoe Donoahue; Leanne Ma; Zhixin Lai – Instructional Science: An International Journal of the Learning Sciences, 2024
Knowledge Building principles such as real ideas, authentic problems; epistemic agency; and collective responsibility for advancement of community knowledge convey ways in which Knowledge Building mirrors work in knowledge-creating communities. Previous studies suggest Metadiscourse--discourse about discourse--helps sustain and improve community…
Descriptors: Elementary School Students, Grade 2, Learning Processes, Psychological Patterns
Michalinos Zembylas – Philosophical Inquiry in Education, 2023
This paper seeks to revisit the concept of "pedagogy of discomfort" through the combined lenses of Lauren Berlant's work on "inconvenience" and recent theorization of "affective infrastructure" to clarify how an infrastructural understanding of "discomfort-as-inconvenience" might provide deeper insights…
Descriptors: Teaching Methods, Educational Environment, Learning Processes, Psychological Patterns
Vilhunen, Elisa; Chiu, Mei-Hung; Salmela-Aro, Katariina; Lavonen, Jari; Juuti, Kalle – International Journal of Science and Mathematics Education, 2023
This study contributes to the understanding of the relationship between emotions and development of scientific understanding by examining (1) how students perform in scientific sensemaking in the context of a three-cycle predict-observe-explain (POE) activity, (2) what kind of trajectories of situational epistemic emotions students show when…
Descriptors: Secondary School Students, Learning Processes, Psychological Patterns, Observation
Juliane V. Höhle; Stefan L. Bengtsson – Environmental Education Research, 2023
Climate change education is seen as an important contributor to climate change mitigation. Yet, its predominant focus on cognitive learning tends to omit the emotional effects of learning about climate change, which often entails learners feeling anxious and overwhelmed and therefore struggling to engage with and enact "solutions." This…
Descriptors: Environmental Education, Climate, Journalism, Emotional Response
Schubert, Sandra; Pekrun, Reinhard; Ufer, Stefan – ZDM: Mathematics Education, 2023
Proofs as epistemic tools are central to mathematical practice, as they establish and provide explanations for the validity of mathematical statements. Considering the challenge that proof construction poses to learners of all ages, prior research has investigated its cognitive determinants, but the impact of affective-motivational experiences on…
Descriptors: Undergraduate Students, Epistemology, Psychological Patterns, Mathematical Logic
Zhang, Qian; Fiorella, Logan – Educational Psychologist, 2023
Errors are inevitable in most learning contexts, but under the right conditions, they can be beneficial for learning. Prior research indicates that generating and learning from errors can promote retention of knowledge, higher-level learning, and self-regulation. The present review proposes an integrated theoretical model to explain two major…
Descriptors: Models, Error Correction, Learning Processes, Feedback (Response)
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
Rahel Schmid; Robbert Smit; Nicolas Robin; Alexander Strahl – British Journal of Educational Psychology, 2025
Background: Students make many errors in visual programming. In order to learn from these, it is important that students regulate their emotions and view errors as learning opportunities. Aims: This study aimed to explore to what extent momentary emotions, specifically enjoyment, anxiety and boredom, as well as the error learning orientation of…
Descriptors: Psychological Patterns, Emotional Response, Learning Processes, Error Patterns
Xing Hu; Wen Gong – SAGE Open, 2025
As emotional factors gain increasing prominence in second language acquisition (SLA), few studies have offered a comprehensive bibliometric synthesis of this evolving research area. To address this gap, the present study analyzed 931 articles indexed in the Social Sciences Citation Index (SSCI) from 2000 to 2024. A combination of bibliometric…
Descriptors: Second Language Learning, Language Acquisition, Psychological Patterns, Emotional Response
Bredlöv, Eleonor – Studies in Continuing Education, 2022
This study connects to the term 'emotional labour', coined by [Hochschild, A. R. (1983) 2003. "The Managed Heart: Commercialization of Human Feeling." 2nd ed. Berkeley, CA: University of California Press], and explores how skin and spa therapy students are constructed as emotional workers in learning processes surrounding the body.…
Descriptors: Human Body, Therapy, Psychological Patterns, Learning Processes
Liew, Tze Wei; Tan, Su-Mae; Kew, Si Na – Information and Learning Sciences, 2022
Purpose: This study aims to examine if a pedagogical agent's expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness. Design/methodology/approach: A between-subjects experiment was conducted in which learners engaged with a multimedia learning…
Descriptors: Teaching Methods, Multimedia Instruction, Psychological Patterns, Emotional Response
Ting, Chih-Chung; Palminteri, Stefano; Lebreton, Maël; Engelmann, Jan B. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Anxiety is a common affective state, characterized by the subjectively unpleasant feelings of dread over an anticipated event. Anxiety is suspected to have important negative consequences on cognition, decision-making, and learning. Yet, despite a recent surge in studies investigating the specific effects of anxiety on reinforcement-learning, no…
Descriptors: Anxiety, Reinforcement, Stress Variables, Young Adults
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

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