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Showing 1 to 15 of 53 results Save | Export
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Guozhu Ding; Mailin Li; Shan Li; Hao Wu – Asia Pacific Education Review, 2025
This study investigated the optimal feedback intervals for tasks of varying difficulty levels in online testing and whether task difficulty moderates the effect of feedback intervals on student performance. A pre-experimental study with 36 students was conducted to determine the delayed time for providing feedback based on student behavioral data.…
Descriptors: Feedback (Response), Academic Achievement, Computer Assisted Testing, Intervals
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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
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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
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Zakraoui, Jezia; Saleh, Moutaz; Al-Maadeed, Somaya; AlJa'am, Jihad Mohamad – Education and Information Technologies, 2023
Emotion and focus of children during handwriting are essential for language learning. Handwriting for young children is challenging because it needs deep motivation and willingness to complete the task regardless of its difficulty. Recently, emerged haptic guidance systems have a good potential to offer children a better sense of engagement to…
Descriptors: Children, Tactual Perception, Attention Span, Handwriting
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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
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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
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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
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Colette Christiansen; Carol Calvert; Clare Morris – Educational Researcher, 2024
Previous studies in higher education have found that a considerable number of students do not access feedback. Here, we use assessment system data on nearly 300,000 assignment submissions to statistically analyze demographic and timing factors leading to lower likelihood of feedback collection. The most significant factors were student…
Descriptors: Influences, Student Behavior, Feedback (Response), Undergraduate Students
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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
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Soland, James – Educational Measurement: Issues and Practice, 2019
As computer-based tests become more common, there is a growing wealth of metadata related to examinees' response processes, which include solution strategies, concentration, and operating speed. One common type of metadata is item response time. While response times have been used extensively to improve estimates of achievement, little work…
Descriptors: Test Items, Item Response Theory, Metadata, Self Efficacy
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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
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Xu, Wei; Xing, Qian-Wen; Zhu, Jing-Dong; Liu, Xiao; Jin, Pin-Nv – Education and Information Technologies, 2023
In regular dance teaching, teachers find it difficult to pay attention to and meet the specific needs of each student. Extended-reality (XR) has the potential to help students get more information to dance learning. This study developed an XR interactive learning system to assist teachers in dance teaching, and explored the impact of XR on the…
Descriptors: Computer Simulation, Instructional Effectiveness, Dance Education, Technology Uses in Education
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Harrison, Laura M.; Mathuews, Katy B. – Journal of College Student Development, 2022
Despite large investments of human and financial resources in college student success, the 6-year graduation rate for US public universities remains at approximately 60% (NCES, 2018). In an effort to understand faculty roles in mitigating and exacerbating student learning, we interviewed 50 students from two public universities in the US Mid-west…
Descriptors: College Students, Barriers, Student Experience, Academic Achievement
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Omer Kocak – International Journal of Technology in Education, 2024
Student response systems (SRSs) increase the engagement of students by supporting them to participate in the course and thus contribute to their academic achievement. However, in most of the experimental studies in which the effects of SRSs were investigated, details on how to integrate SRSs into the course were not provided. This study aimed to…
Descriptors: Academic Achievement, Cognitive Processes, Difficulty Level, Asynchronous Communication
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Song, Yi; Zhu, Mengxiao; Sparks, Jesse R. – Journal of Educational Computing Research, 2023
In this research, we use a process data analysis approach to gather additional evidence about students' argumentation skills beyond their performance scores in a computer-based assessment. This game-enhanced scenario-based assessment (named Seaball) included five activities that require students to demonstrate their argumentation skills within a…
Descriptors: Data Analysis, Academic Achievement, Interaction, Performance
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