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Cristina Casadevante; Miriam Romero; Tatiana Fernández-Marcos; José Manuel Hernández – European Journal of Psychology of Education, 2024
Casadevante et al. (Curr Psychol 42: 4272-4285, 2023) used an objective test and found that regulation of response speed was related to better performance in a category learning task. The present study aims at analysing whether the relation between regulation of response speed and learning exists in an associative learning task. We developed ad…
Descriptors: Associative Learning, Task Analysis, College Students, Reaction Time
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Keru Li; Yanyan Li; Yansu Wang; Yunshan Chen; Wanqing Hu – Instructional Science: An International Journal of the Learning Sciences, 2025
The study examined the influence of feedback features on revision uptake in dialogic peer feedback activities, and the moderating effect of self-efficacy and prior knowledge on this relationship. Data were collected over a 10-week course at a comprehensive university in China, involving 29 students and resulting in 242 revision-oriented comments.…
Descriptors: Foreign Countries, College Students, Peer Evaluation, Feedback (Response)
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Ruben Schlag; Karsten Stegmann; Maximilian Sailer – European Educational Researcher, 2024
The flipped classroom approach has increasingly been implemented in higher education and has shown promise for enhancing learning processes across many domains. In this instructional method, learners use certain learning materials to prepare for in-class lessons focusing on a deeper understanding and application of knowledge. Feedback and peer…
Descriptors: Flipped Classroom, Peer Relationship, Interaction, Feedback (Response)
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Naomi E. Winstone; Robert A. Nash – Assessment in Education: Principles, Policy & Practice, 2024
Feedback information can be a powerful influence on learning, yet there is currently insufficient understanding of the cognitive mechanisms responsible for these effects. In this exploratory study, students (N = 279) received teacher feedback on a practice exam paper, and a few days later we assessed the amount and type of feedback information…
Descriptors: Memory, Feedback (Response), Tests, Drills (Practice)
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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
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Genc Aksaray, Sevgi; Ozcelik, Erol – Educational Psychology, 2023
Recent findings from psychological studies have shown that emotional arousal improves human memory. However, more evidence is necessary if these results are generalisable to multimedia learning environments. Considering these needs, the study has the goal to examine the effect of emotional arousal on multimedia learning. Fifty-seven participants…
Descriptors: College Students, Foreign Countries, Arousal Patterns, Emotional Response
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Nazarana Mather; Liesl Scheepers – Turkish Online Journal of Distance Education, 2025
Feedback is one of the most powerful tools for teaching and learning. Providing meaningful feedback to students is of particular importance in an online context as it is a direct way for the facilitator to engage with their students and to provide them with individual, tailored support. This study sought to explore the perceptions of online…
Descriptors: Feedback (Response), Private Colleges, Facilitators (Individuals), Online Courses
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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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Kasakowskij, Regina; Haake, Joerg M.; Seidel, Niels – International Educational Data Mining Society, 2023
Improving competence requires practicing, e.g. by solving tasks. The Self-Assessment task type is a new form of scalable online task providing immediate feedback, sample solution and iterative improvement within the newly developed SAFRAN plugin. Effective learning not only requires suitable tasks but also their meaningful usage within the…
Descriptors: Self Evaluation (Individuals), Student Behavior, College Students, Learning Processes
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Julia Hornstein; Melanie V. Keller; Martin Greisel; Markus Dresel; Ingo Kollar – Educational Psychology Review, 2025
Peer-feedback can be an effective method to support learning. However, students often require instructional support to provide and process peer-feedback effectively. Previous research used various types of instructional support to improve the quality of peer-feedback processes and outcomes. Yet, a comprehensive overview over their effects is…
Descriptors: Elementary School Students, Secondary School Students, College Students, Peer Evaluation
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Yueh-Min Huang; Wei-Sheng Wang; Hsin-Yu Lee; Chia-Ju Lin; Ting-Ting Wu – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers significant potential for hands-on learning environments by providing immersive and visually stimulating experiences. Interacting with such environments can bring numerous benefits to learning, including enhanced engagement, knowledge construction, and higher-order thinking. However, many current VR studies…
Descriptors: Computer Simulation, Feedback (Response), Reflection, Experiential Learning
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Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan – IEEE Transactions on Learning Technologies, 2023
Owing to the rapid development of information and communication technologies, online or mobile learning content is widely available on the Internet. Unlike traditional face-to-face learning, online learning exhibits a critical limitation: real-time interactions between learners and teachers are generally not feasible in online learning. To…
Descriptors: College Students, Control Groups, Attention, Comprehension
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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
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Alif Silpachai; Reza Neiriz; MacKenzie Novotny; Ricardo Gutierrez-Osuna; John M. Levis; Evgeny Chukharev – Language Learning & Technology, 2024
It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…
Descriptors: College Students, Foreign Students, English (Second Language), Second Language Instruction
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Charlotte Silén; David Kilström; Klas Karlgren – Assessment & Evaluation in Higher Education, 2025
Feedback literacy includes students' abilities to understand, use and benefit from feedback processes; it is important for the development of self-directed learning, SDL. Considering all of the places where students can potentially learn, especially the clinic, we would argue that feedback has been too narrowly defined. This study aims to explore…
Descriptors: Feedback (Response), Multiple Literacies, Skill Development, Learning Processes
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