Technology-enabled Learning in Digital Education: Research Areas and Prediction Trends of Learning Technologies for Authentic Assessments Practices

Technology-enabled Learning in Digital Education: Research Areas and Prediction Trends of Learning Technologies for Authentic Assessments Practices | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Technology-enabled Learning in Digital Education: Research Areas and Prediction Trends of Learning Technologies for Authentic Assessments Practices Tristan Lim, Swapna Gottipati, Michelle Cheong This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2696352/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study aims to provide practical insights on the research areas and prediction trends of learning technologies that support authentic assessment practices in the digital education setting. Technology-enabled learning can be utilized to enhance assessment design in meaningful ways that resembles the professional work environment. Innovative technology-enabled assessment practices necessitate an understanding of the technologies at-hand, hence a disciplined inquiry is called upon into the multitude of technologies that define the landscape. The study looked to investigate the technology groups and research efforts within the field of learning technologies that were shaping digitally mediated authentic assessment practices. Using Horizon Report (HR), an annual education-based technology forecasting publication, as a reference, the study looked to evaluate if HR is a good proxy to predict the evolution of learning technologies in the said scape. Research distinguished four key learning technology groups, namely ubiquitous learning technology, adaptive learning technology, immersive learning technology, and learning object. Network analyses performed on the four technology groups identified key generalizable research themes that can be utilized for research focus. The study also found that HR is a useful tool to predict technology trends, as corroborated from bibliometric analyses, and detailed the composition and evolution of these trends. This study can help educators and researchers identify and decide promising potential areas for future research and/or investment focus. Educational Philosophy and Theory Authentic Assessment Practice Learning Technology Technology-enabled Learning Research Areas and Prediction Trends Digital Education Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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