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Zheng, Yafeng; Gao, Zhanghao; Shen, Jun; Zhai, Xuesong – IEEE Transactions on Learning Technologies, 2023
A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patterns to the collaborative discussion. The current…
Descriptors: Semantics, Classification, Electronic Learning, Computer Mediated Communication
Kamil, Puspita Insan; Rusmadipraja, Ismail Agung; Sirait, Rinda Aunillah; Rusli, Nathan – Applied Environmental Education and Communication, 2023
Throughout history, humans shared habitats and resources with animals, making human-wildlife interactions (HWI), including conflict, inevitable. Understanding issues before mitigating them is one important aspect of conservation. This study assessed 1,613 registrants' data on public perception of HWI through a computer-mediated communication (CMC)…
Descriptors: Foreign Countries, Public Opinion, Wildlife, Physical Environment
Ju, Narae; Williams, Natalie; Sedivy, Julie; Chambers, Craig G.; Graham, Susan A. – Child Development, 2023
This study examined 4- and 5-year-olds' incremental interpretation of size adjectives, focusing on whether contrastive inferences are modulated by speaker behavior. Children (N = 120, 59 females, mostly White, tested between July, 2018 and August, 2019) encountered either a conventional or unconventional speaker who labeled objects in a…
Descriptors: Preschool Children, Inferences, Interpersonal Communication, Behavior
Tan, Jesmine S. H.; Chen, Wenli; Su, Junzhu; Su, Guo – International Journal of Computer-Supported Collaborative Learning, 2023
Peer feedback is known to have positive effects on knowledge improvement in a collaborative learning environment. Attributed to technology affordances, class-wide peer feedback could be garnered at a wider range in the networked learning environment. However, more empirical studies are needed to explore further the effects of type and depth of…
Descriptors: Peer Evaluation, Feedback (Response), Cooperative Learning, Computer Assisted Instruction
Güllü, Hasan; Karahan, Engin; Akçay, Ahmet Oguz – Education and Information Technologies, 2023
One of the most fundamental problems many students face in school is bullying. This form of harassment, known as cyberbullying, has emerged as the use of the internet and other digital media has increased in recent years. The purpose of this study is to determine the extent of secondary school students' cyberbullying and cyber victimization…
Descriptors: Computer Mediated Communication, Bullying, Victims, Secondary School Students
Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume – Interactive Learning Environments, 2023
Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…
Descriptors: Intelligent Tutoring Systems, Cognitive Style, Learner Engagement, Academic Achievement
Maqsood, Rabia; Ceravolo, Paolo; Ahmad, Muhammad; Sarfraz, Muhammad Shahzad – International Journal of Educational Technology in Higher Education, 2023
The heterogeneous data acquired by educational institutes about students' careers (e.g., performance scores, course preferences, attendance record, demographics, etc.) has been a source of investigation for Educational Data Mining (EDM) researchers for over two decades. EDM researchers have primarily focused on course-specific data analyses of…
Descriptors: Foreign Countries, Computer Science, Undergraduate Students, Private Colleges
Khachatryan, Davit – Journal of Statistics and Data Science Education, 2023
According to decades of research in educational psychology, learning is a social process that is enhanced when it happens in contexts that are familiar and relevant. But because of the skyrocketing popularity of data science, today we often work with students coming from an abundance of academic concentrations, professional, and personal…
Descriptors: Statistics Education, Teaching Methods, Visual Aids, Music
Marinelli, Melissa; Male, Sally A.; Valentine, Andrew; Guzzomi, Andrew; van der Veen, Tom; Hassan, Ghulam Mubashar – European Journal of Engineering Education, 2023
Access to interactive, simulated work environments through virtual reality (VR) has potential in teaching safety in design (SiD) to engineering students with reduced risk, cost and inconvenience. However, there is limited understanding of what students learn from immersive VR interventions, or the outcomes from specific learning activities. This…
Descriptors: Computer Simulation, Safety, Design, Engineering Education
Ismail, Azlan; Mutalib, Sofianita; Haron, Haryani – Education and Information Technologies, 2023
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…
Descriptors: Data Science, Graduate Study, Masters Programs, Graduate Students
Wang, Jun; Jin, Shuaizhen; Zhong, Zheng; Feng, Sijia; Deng, Yaxin; Li, Ruining – Journal of Educational Computing Research, 2023
Immersive Virtual Environments can provide users with a sense of spatial presence and experience. But learners with Color Vision Deficiency cannot receive information entirely in the environments because they are difficult to distinguish some or all colors. This study selects learners with red-green color blindness as the sample, and designs three…
Descriptors: Students, Color, Visual Impairments, Teaching Methods
Jämsä, Johanna; Sandström, Vilma; Holopainen, Jani; Juhola, Sirkku; Kalliokoski, Tuomo; Korhonen-Kurki, Kaisa; Lyytikäinen, Veera; Mattila, Osmo; Pietikäinen, Janna; Soini, Katriina – Applied Environmental Education and Communication, 2023
We studied three novel approaches in environmental science communication for experts: gamification, virtual reality, and art-based scenario workshops and analyze participants' perceptions through qualitative interviews and a survey. Four dimensions emerged from the interviews: "enjoyment," "usability," "sociability,"…
Descriptors: Environmental Education, Gamification, Expertise, Computer Simulation
Boettcher, K.; Terkowsky, C.; Schade, M.; Brandner, D.; Grünendahl, S.; Pasaliu, B. – European Journal of Engineering Education, 2023
A newly-developed online laboratory experiment in immersive virtual reality (VR) is used for process engineering students. A digital twin (DT) of a jet pump was realised using the game engine Unreal Engine 4. The chance was taken for an instructional redesign deviating from the conventional cookbook-experiment to better integrate the changing…
Descriptors: Computer Simulation, Laboratories, Engineering Education, Problem Solving
York, Julie – Childhood Education, 2023
The STEM acronym (science, technology, engineering, and mathematics) has evolved into STEAM, to reflect the increasingly held view that art and creativity are essential components of math/science teaching and learning. Sadly, too few students are choosing to take computer science classes. When presented as a technical science, many students,…
Descriptors: Programming, STEM Education, Art Education, Early Childhood Education
Chan, Wendy; Oh, Jimin – Journal of Experimental Education, 2023
Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…
Descriptors: Generalization, Computation, Probability, Sample Size

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