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Sunil Pokhrel – Teacher Education Advancement Network Journal, 2024
Recent research has indicated that the utilization of digital technologies among Nepal's secondary school teachers is minimal. A multiple case study research design was employed to explore how Physics teachers at the secondary level utilized digital technologies for teaching Physics and the challenges they encountered in adopting new instructional…
Descriptors: Physics, Science Instruction, Foreign Countries, Secondary School Teachers
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Jona Lilienthal; Sibylle Sturtz; Christoph Schürmann; Matthias Maiworm; Christian Röver; Tim Friede; Ralf Bender – Research Synthesis Methods, 2024
In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…
Descriptors: Bayesian Statistics, Meta Analysis, Health Sciences, Technology
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J. Schillings; R. Bennett; D. C. Rose – Journal of Agricultural Education and Extension, 2024
Purpose: End-user participation is often encouraged to promote the uptake of Digital Livestock Technologies (DLTs). However, managing participation during DLT development can be challenging. We explore how participation decisions can impact end-users' engagement and attitudes towards the process, before suggesting strategies for improved…
Descriptors: Agricultural Occupations, Animals, Animal Husbandry, Agricultural Production
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Megan G. Stutesman; Thalia R. Goldstein – Journal of Creative Behavior, 2024
Dance is a multifaceted creative act that has been used to communicate emotions throughout human evolution. Despite this history, there has been no empirical exploration of components of dance that allow it to communicate emotion. We address this with a mixed methods study in which a quantitative study with dance viewers builds upon qualitative…
Descriptors: Dance, Creative Activities, Emotional Response, Communication (Thought Transfer)
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Suhye Kim; Jung-Hwan Kim; Wooseok Hyung; Suhkyung Shin; Myoung Jin Choi; Dong Hwan Kim; Chang-Hwan Im – IEEE Transactions on Learning Technologies, 2024
With the widespread application of online education platforms, the necessity for identifying learners' mental states from webcam videos is increasing as it can be potentially applied to artificial intelligence-based automatic identification of learner states. However, the behaviors that elementary school students frequently exhibit during online…
Descriptors: Educational Technology, Medicine, Diagnostic Tests, Attention
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Ziqing Peng; Yan Wan – Education and Information Technologies, 2024
Understanding preferences surrounding artificial intelligence (AI) and human teaching assistants (TAs) helps managers improve AI TAs, effectively deploying AI and human TAs, and providing better services to learners. The literature has explored how AI TAs' characteristics affect students' use intention, neglecting students' comparative behaviors…
Descriptors: Artificial Intelligence, Teaching Assistants, Student Attitudes, Anxiety
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Rudy Arnaud Nana; Serge Clotaire Billong; Jérôme Boombhi; Francky Teddy Endomba; Hilaire Djantio; Alain Menanga – Education and Information Technologies, 2024
Treatment adherence is one of the milestones in the care of hypertensive patients, with new information and communication technologies as potential educational tools. This study aimed to evaluate the add-on effect of a digital cartoon educative video on the therapeutic observance of patients followed up in the General Hospital Yaoundé compared to…
Descriptors: Compliance (Psychology), Hypertension, Patients, Cartoons
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Yu-Min Wang; Wan-Ching Chiu; Hsin-Hui Lin; Yi-Shun Wang; Yu-Yin Wang; I-Fan Chen – Innovations in Education and Teaching International, 2024
This study investigates the individual difference antecedents of students' behavioural intention to use VR-based learning systems, especially from an integrated perspective of Big Five personality traits and perceived physiological vulnerability to IT use (PPVITU). Data collected from 149 respondents are tested against the research model using the…
Descriptors: College Students, Computer Simulation, Human Body, Pain
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C. Beaver – PRIMUS, 2024
In this paper, several research topics are presented that provide productive avenues of exploration for students in an undergraduate cryptography course. The topics are intended for a variety of skill levels and interests. In some cases, a student might be inspired to try to solve the proposed problem or write computer code. Other topics might…
Descriptors: Technology, Coding, Undergraduate Students, Student Projects
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Anne Wally Ryan; Line Kolås; Anders Grov Nilsen; Aslaug Grov Almås – Education and Information Technologies, 2024
Within the higher education sector, the principle of student-active and research-based education are established in strategy documents and action plans, but at the same time there is an ongoing debate about what is meant by research-based learning and how it can be applied in practical teaching contexts. The aim of this empirical study is to…
Descriptors: Literature Reviews, Learning Activities, Research Training, Cooperative Learning
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Niloofar Mansoor; Cole S. Peterson; Michael D. Dodd; Bonita Sharif – ACM Transactions on Computing Education, 2024
Background and Context: Understanding how a student programmer solves different task types in different programming languages is essential to understanding how we can further improve teaching tools to support students to be industry-ready when they graduate. It also provides insight into students' thought processes in different task types and…
Descriptors: Biofeedback, Eye Movements, Computer Science Education, Programming Languages
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Laura Kawerau; Athena Birkenberg; Thomas Daum; Cosmas Alfred Butele; Regina Birner – Field Methods, 2024
Agricultural studies mainly rely on quantitative research approaches. Despite growing interest in and uptake of qualitative, participatory, and visual methods due to their perceived advantages in gathering in-depth information and empowering participants, visual-digital research methods have yet to be largely applied. In our study on adaptation…
Descriptors: Research Skills, Visual Aids, Agricultural Education, Climate
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Yixun Xing – Teaching Statistics: An International Journal for Teachers, 2024
Generative artificial intelligence (AI) has shown the potential to reshape the world and redefine daily workflows. One specific instance of generative AI, ChatGPT, specializes in understanding natural language and generating human-like conversational text. Its free access, user-friendly interface, and instant feedback have propelled its popularity…
Descriptors: Artificial Intelligence, Synchronous Communication, Statistics, Data Analysis
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Sinan Hopcan; Gamze Türkmen; Elif Polat – Education and Information Technologies, 2024
With the advancement of artificial intelligence (AI) and machine learning (ML) techniques, attitudes towards these two fields have begun to gain importance in different professions. One of the affected professions is undoubtedly the teaching profession. Increasing the levels of concern for artificial intelligence and attitudes towards machine…
Descriptors: Artificial Intelligence, Educational Technology, Anxiety, Preservice Teachers
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Sadhu Prasad Kar; Amit Kumar Das; Rajeev Chatterjee; Jyotsna Kumar Mandal – Education and Information Technologies, 2024
Technology Enabled Learning (TEL) has a major impact on the learning adaptability of the learners. During the COVID-19 pandemic, there has been a drastic change in the learning methodology. The adaptability of learners from the various domains, levels and age has been a significant component of research in context to education. In this paper, the…
Descriptors: Online Courses, Artificial Intelligence, Technology Uses in Education, Student Adjustment
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