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Ning Ma; Yan-Ling Zhang; Chun-Ping Liu; Lei Du – Interactive Learning Environments, 2024
Online asynchronous interaction is considered a core part of online teacher training, which has an important impact on learners' learning experience and learning outcomes. How to provide immediate and effective feedback through technical support based on the learners' interactive content and enhance interactive connection has become a key issue in…
Descriptors: Foreign Countries, Teacher Education, Online Courses, Asynchronous Communication
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Patricia Diaz; Stefan Hrastinski; Per Norström – Interactive Learning Environments, 2024
Teacher educators' distinct and dual task of educating future teachers includes using digital tools to support students' ongoing learning while exemplifying appropriate teaching strategies where the use of digital tools, such as response systems (RSs), are commonly occurring. RSs have been used in higher education for a long time, and many studies…
Descriptors: Teacher Educators, Audience Response Systems, Student Participation, Learner Engagement
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Hsu, Ting-Chia – Interactive Learning Environments, 2022
In this study, we used the application software installed on students' smart phones as instantly interactive tools during class time in a flipped learning context. One popular daily-life instant interaction application, "Line", provided the students with text or multimedia feedback in time sequence; one non-daily instant interaction…
Descriptors: Social Media, Feedback (Response), Flipped Classroom, Behavioral Science Research
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Jing Chen; Ruiqi Wang; Bei Fang; Chen Zuo – Interactive Learning Environments, 2024
Online learning has developed rapidly and billions of learners have participated in various courses. However, the high dropout rate is universal and learning performance is not satisfactory. Fortunately, learners have posted a large number of reviews which express their feedback opinions. The fine-grained aspects and opinions existing in reviews…
Descriptors: Online Courses, Feedback (Response), Opinions, Algorithms
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Ya Xiao; Khe Foon Hew – Interactive Learning Environments, 2024
In recent years, many studies have highlighted the need to go beyond the "one-size-fits-all" gamification approach to tailored or personalised gamification to optimise students' engagement based on their user attributes. However, little is known about its effectiveness on student engagement. To advance the understanding of personalized…
Descriptors: Individualized Instruction, Gamification, Student Participation, Learner Engagement
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Gila Kurtz; Dan Kohen-Vacs – Interactive Learning Environments, 2024
Humanoid robotics is an emerging field striving to deploy technological devices capable of resembling and mimicking the human form. Primarily, the capability of human-like robots to interact with people has proved to be contributory in areas such as education and caretaking, but less so in adult training. In this study, we outline the design and…
Descriptors: Robotics, Technology Uses in Education, Teamwork, Training
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Ge, Zi-Gang – Interactive Learning Environments, 2022
This study seeks to investigate the impact of a real-time multi-peer feedback process with the use of a web-based polling software on adult e-learners' learning performance. Two groups of participants with 30 members in each were involved in the experiment. In the two-and-a-half-hour experiment, the experimental group adopted a web-based polling…
Descriptors: Feedback (Response), Peer Evaluation, Computer Software, Adult Learning
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Jingjing Shao; Lu Cheng; Yansu Wang; Keru Li; Yanyan Li – Interactive Learning Environments, 2024
Although peer feedback has been proposed as an instructional strategy for cultivating critical thinking, high-quality peer feedback is difficult to obtain. Regulation scripts are a promising scaffold for this activity. Besides, few previous studies have explored the dynamic relationship between feedback content and critical thinking. Therefore,…
Descriptors: Peer Evaluation, Feedback (Response), Scripts, Critical Thinking
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Eisuke Saito; Jennifer Mansfield; Richard O'Donovan – Interactive Learning Environments, 2024
By assessing student engagement with learning tasks along with students' understanding of subject matter before and during teaching, teachers are able to shift their teaching approaches through improvisational pedagogical reasoning in real time. However, if a teacher does not know how to respond to students' cues, their capacity to effectively…
Descriptors: Educational Practices, Teaching Methods, Reflective Teaching, Decision Making
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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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Soomaiya Hamid; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
E-learning is the process of sharing knowledge out of the traditional classrooms through different online tools using internet. The availability and use of these tools are not easy for every student. Many institutions gather e-learning feedback to know the problems of students to improve their systems. In e-learning systems, typically a high…
Descriptors: Feedback (Response), Electronic Learning, Automation, Classification
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Cheng, Chao-Yang; Chen, Jim-Ming; Chen, Sherry Y. – Interactive Learning Environments, 2023
Online tests offer many advantages but they still belong to assessment, which may make learners have anxiety. Thus, students may experience certain emotion. Academic emotion is a branch of emotion and has great effects on student learning. Such effects can be associated with individual differences, especially prior knowledge. To this end, this…
Descriptors: College Students, Prior Learning, Academic Achievement, Emotional Response
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Zhongling Pi; Renjia Liu; Hongjuan Ling; Xingyu Zhang; Shuo Wang; Xiying Li – Interactive Learning Environments, 2024
A video lecture instructor exhibiting positive emotion has been shown to induce similar emotions in students, improving the students' motivation and increasing their attention, thus improving their learning performance. However, little systematic research exists on which specific design features with regards to the instructor can induce such…
Descriptors: Foreign Countries, Undergraduate Students, Nonverbal Communication, Affective Behavior
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Cutumisu, Maria; Lou, Nigel Mantou – Interactive Learning Environments, 2023
It is possible that individuals do not endorse a general mindset or theory of intelligence and that their mindset is specific to particular domains. There is currently a dearth of evidence to support this possibility. It is also not known how these two types of mindset influence learning behaviors and outcomes. This study investigates the roles of…
Descriptors: Preservice Teachers, Student Attitudes, Ability, Educational Games
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Daocheng Hong – Interactive Learning Environments, 2024
The digital transformation of education is greatly accelerating in various computer-supported applications. As a particularly prominent application of the human-machine interactive system, intelligent learning systems aim to capture users' current intentions and provide recommendations through real-time feedback. However, we have a limited…
Descriptors: Feedback (Response), Users (Information), Learner Engagement, Tests
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