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Xin Li; Wanqing Hu; Yanyan Li – Educational Technology Research and Development, 2025
Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…
Descriptors: Artificial Intelligence, Scripts, Learner Engagement, Electronic Learning
Efren de la Mora Velasco; Matthew Moreno – Educational Technology Research and Development, 2025
The measurable effects of music in online learning remains a topic of extensive debate, largely due to inconsistent findings within existing literature. Many of these inconclusive results stem from research methodologies that focus on singular perspectives, often overlooking a balance between cognitive challenges and emotional benefits of…
Descriptors: Music, Acoustics, Electronic Learning, Cognitive Processes
Jingyi Xie; Jiao Jiao – Educational Technology Research and Development, 2025
The formation of the digital divide is influenced by both objective factors, such as insufficient digital resources, and subjective factors, such as technology acceptance. This study employs a mixed-methods approach, utilizing the KANO model to analyze learners' demand attributes and the UTAUT model to examine subjective factors influencing…
Descriptors: Technology Uses in Education, Electronic Learning, Computer Attitudes, Developing Nations
Ng, Davy Tsz Kit; Leung, Jac Ka Lok; Su, Jiahong; Ng, Ross Chi Wui; Chu, Samuel Kai Wah – Educational Technology Research and Development, 2023
The pandemic has catalyzed a significant shift to online/blended teaching and learning where teachers apply emerging technologies to enhance their students' learning outcomes. Artificial intelligence (AI) technology has gained its popularity in online learning environments during the pandemic to assist students' learning. However, many of these AI…
Descriptors: Teacher Competencies, Digital Literacy, 21st Century Skills, Artificial Intelligence
Chin, Doris B.; Dohmen, Ilsa M.; Cheng, Britte H.; Oppezzo, Marily A.; Chase, Catherine C.; Schwartz, Daniel L. – Educational Technology Research and Development, 2010
One valuable goal of instructional technologies in K-12 education is to prepare students for future learning. Two classroom studies examined whether Teachable Agents (TA) achieves this goal. TA is an instructional technology that draws on the social metaphor of teaching a computer agent to help students learn. Students teach their agent by…
Descriptors: Concept Mapping, Educational Technology, Elementary School Students, Science Instruction

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