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Marc P. Janson; Oliver Dickhäuser – Journal of Experimental Education, 2025
Feedback significantly impacts learning outcomes, yet interindividual differences in feedback preferences remain understudied. We postulate and test a fitting feedback framework assuming that feedback framings matching personal preferences produce positive effects. We conducted two learning experiments including feedback representing different…
Descriptors: Cognitive Processes, Difficulty Level, Feedback (Response), Preferences
Éva Gál – Psychology in the Schools, 2025
Previous studies indicated that when encountering academic difficulties, students with fixed intelligence mindset, experience higher levels of negative emotions and they also report significant drops in their self-esteem. Thus, the present study proposed to test whether priming students with unconditional self-acceptance (USA), reduces…
Descriptors: Intelligence, Self Esteem, Self Concept, Academic Achievement
Chi-Cheng Chang; Tseng-Chuan Chen – Interactive Learning Environments, 2024
This study aims to explore how e-textbooks with emotional design affect students' emotion, cognitive load and learning achievement. There were 147 freshman students in total: the experimental group I, II and control group consisted of 49, 47 and 51 students, using e-textbooks with emotional design, without emotional design and traditional paper…
Descriptors: Electronic Books, Technology Uses in Education, Handheld Devices, College Freshmen
Wen-shuang Fu; Jia-hua Zhang; Di Zhang; Tian-tian Li; Min Lan; Na-na Liu – Journal of Educational Computing Research, 2025
Cognitive ability is closely associated with the acquisition of programming skills, and enhancing learners' cognitive ability is a crucial factor in improving the efficacy of programming education. Adaptive feedback strategies can provide learners with personalized support based on their learning context, which helps to stimulate their interest…
Descriptors: Feedback (Response), Cognitive Ability, Programming, Computer Science Education
Khawlah M. Al-Tkhayneh – Journal of Applied Research in Higher Education, 2024
Purpose: This study aimed to identify the level of students' academic integration in the physical environment of the classroom. Design/methodology/approach: This study used an experimental approach. The study sample consisted of 60 students, who were divided into an experimental group (n = 30) and a control group (n = 30) in two classrooms…
Descriptors: Classroom Environment, Physical Environment, College Students, Sociology
Katerina Nerantzaki; Polykarpos Meladianos – Journal of Interactive Learning Research, 2025
Virtual reality (VR) technology has greatly expanded its role in education. It provides immersive experiences that enhance learning across various disciplines. Understanding the role of emotions in technology-based learning environments is crucial for improving educational outcomes. This study aimed to explore how VR environments evoke university…
Descriptors: Computer Simulation, Technology Uses in Education, Emotional Response, Undergraduate Students
Yasemin Kahyaoglu Erdogmus; Adile Askim Kurt – Education and Information Technologies, 2024
This study investigated pedagogical agent (with/without) and feedback (explanatory/confirmatory) types on achievement, flow experience, and cognitive load in a digital game-based learning environment. We developed a game about spreadsheets and prepared four versions of the game in the context of pedagogical agent and feedback types. Through the…
Descriptors: Cognitive Processes, Difficulty Level, Skill Development, Game Based Learning
Lipnevich, Anastasiya A.; Eßer, Felix J.; Park, Mi Jin; Winstone, Naomi – Assessment in Education: Principles, Policy & Practice, 2023
Although feedback is one of the most important instructional techniques, strong empirical research on receiving feedback is scarce in comparison to research on feedback provision. In this experimental study, we examined the influence of detailed comments and praise on student motivation and change in performance. 147 university students wrote an…
Descriptors: Positive Reinforcement, Bias, Feedback (Response), Student Motivation
Soonri Choi; Soomin Kang; Kyungmin Lee; Hongjoo Ju; Jihoon Song – Contemporary Educational Technology, 2024
This study proposes that the gestures of an agent tutor in a multimedia learning environment can generate positive and negative emotions in learners and influence their cognitive processes. To achieve this, we developed and integrated positive and negative agent tutor gestures in a multimedia learning environment directed by cognitive gestures.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Processes, Difficulty Level
Hugo G. Lapierre; Patrick Charland; Pierre-Majorique Léger – Computer Science Education, 2024
Background and Context: Current programming learning research often compares novices and experienced programmers, leaving early learning stages and emotional and cognitive states under-explored. Objective: Our study investigates relationships between cognitive and emotional states and learning performance in early stage programming learners with…
Descriptors: Programming, Computer Science Education, Psychological Patterns, Cognitive Processes
Kienia Markia Green – ProQuest LLC, 2024
This study examined online graduate students' perceived learning styles and perceptions of factors that influenced their overall academic achievement in online courses. The study explored relationships between the learning styles and the factors identified as influencing achievement. Previous research produced mixed results when evaluating the…
Descriptors: Online Courses, Graduate Students, Cognitive Style, Student Attitudes
Shan Li; Zuer Liu; Mengling Qiu; Jiaxin Huang; Juan Zheng; Guozhu Ding – Journal of Educational Computing Research, 2024
Educational robots represent a unique form of teacher presence. Exploring how the communication features of robot instructors affect student learning experience could contribute to the advancement of educational robots. This study examined the impact of speech rate, voice type, and emotional tone of robots on students' cognitive load, attitudes…
Descriptors: Educational Technology, Technology Uses in Education, Cognitive Processes, Difficulty Level
Yorganci, Serpil – Journal of Computer Assisted Learning, 2022
Background: Continuous advances in mobile and multimedia technologies have increased interest in the use of e-books in educational settings. Objectives: The current study investigated how the e-book technology and different types of feedback influenced the learning, motivation, and cognitive load of students within the differentiation unit of…
Descriptors: Books, Electronic Publishing, Video Technology, Feedback (Response)
Wang, Wei-Tsong; Lin, Ying-Lien; Lu, Hsin-En – Education and Information Technologies, 2023
Students are commonly in a high cognitive load state when they encounter sophisticated knowledge. Whether the novel augmented reality (AR) technology can be utilized in an online learning course to explain complicated scientific concepts in a more understandable manner to students during the COVID-19 period is an unaddressed issue. This study aims…
Descriptors: Computer Simulation, Online Courses, COVID-19, Pandemics
Zhi Liu; Rui Mu; Zongkai Yang; Xian Peng; Sannyuya Liu; Jia Chen – Interactive Learning Environments, 2023
Massive open online courses (MOOCs) provide learners with high-quality learning resources, but learners drop out frequently. Learners' concerns (e.g. the topics in course content or logistics) and cognitive engagement patterns (e.g. "tentative" or "certain") are considered the essential factors affecting learners' course…
Descriptors: MOOCs, Cognitive Processes, Learner Engagement, Discussion Groups

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