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Marissa R. Bamberger; Olha Ketsman; Jui-Ling Chiang; Akosua B. Poku; Kara Kennedy; Mary Sanderson; Todd D. Reeves – Journal of Educational Technology Systems, 2025
This exploratory study describes the distribution of pre-service teacher (PST) technology use for formal or informal professional learning. Additionally, it describes PSTs' self-efficacy for technology use and associated factors. Laptops and smartphones were among the most commonly used devices. Technology use for professional learning was common…
Descriptors: Educational Technology, Technology Uses in Education, Preservice Teacher Education, Preservice Teachers
Rebekah Davis; Florence Martin; Min Zhuang; Duncan Culbreth; Cigdem Meral; WeiChao Wang – Journal of Educational Technology Systems, 2025
Monitoring applications (MAs) software provides filtering and monitoring for technology management. In the fall of 2020, a southeastern state encouraged public and charter K-12 schools to use MAs by providing funding for their purchase. This was intended to protect students from online threats and self-harm during the COVID-19 pandemic, which…
Descriptors: Technology Uses in Education, COVID-19, Pandemics, Bullying
Tony Lee; Vincent Cho – Journal of Educational Technology Systems, 2025
This study investigated the role of generative artificial intelligence (AI) tools in facilitating informal digital English learning activities among second language (L2) learners in a Chinese context. It explored how factors like learners' ideal L2 self-imagination, international posture, and perceptions of information quality influence their…
Descriptors: Artificial Intelligence, Blended Learning, Technology Uses in Education, Learning Activities
Linghong Li; Wayne F. Patton – Journal of Educational Technology Systems, 2025
The evolving landscape of higher education demands integrating advanced technologies to foster engaging and inclusive learning environments. This paper examines the practical integration of Stellarium, a virtual planetarium software, and ChatGPT, an AI conversational agent, in an asynchronous online undergraduate astronomy course. Stellarium…
Descriptors: Electronic Learning, Astronomy, Science Education, Artificial Intelligence
Caitlin K. Kirby; Imari Cheyne Tetu; Casey Henley – Journal of Educational Technology Systems, 2025
A recent increase in blended course options has changed the landscape of higher education, necessitating revisions of prior categorization of blended online and in-person course models. Building on the Mixed Instructional eXperience (MIX) taxonomy using current literature and course models, we developed three key parameters for defining course…
Descriptors: Blended Learning, Electronic Learning, Undergraduate Study, Undergraduate Students
Peter J. Kalenda; Logan Rath; Marium Abugasea Heidt; Allison Wright – Journal of Educational Technology Systems, 2025
This study explores preservice education student perceptions on ChatGPT's ability to write lesson plans through the use of a guided analysis process with 59 undergraduate and graduate students enrolled in STEM, TESOL, and Social studies methods courses for grades PreK-12. A pre- post-survey and a reflection on the strengths and weaknesses of…
Descriptors: Preservice Teachers, Teacher Attitudes, Technology Uses in Education, Synchronous Communication