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Yujie Han; Sumin Hong; Zhenyan Li; Cheolil Lim – TechTrends: Linking Research and Practice to Improve Learning, 2025
This scoping review investigates the roles of intelligent learning companion systems (LCS) within educational settings, as well as the presences artificial intelligence (AI) embodies within these roles, and their application in education. Employing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for…
Descriptors: Artificial Intelligence, Definitions, Classification, Technology Uses in Education
Hemmler, Yvonne M.; Rasch, Julian; Ifenthaler, Dirk – TechTrends: Linking Research and Practice to Improve Learning, 2023
Educational recommender systems offer benefits for workplace learning by tailoring the selection of learning activities to the individual's learning goals. However, existing systems focus on the learner as the primary stakeholder of learning processes and do not consider the organization's perspective. We conducted a systematic review to develop a…
Descriptors: Workplace Learning, Educational Objectives, Educational Technology, Artificial Intelligence
Van Schoors, Rani; Elen, Jan; Raes, Annelies; Vanbecelaere, Stefanie; Depaepe, Fien – TechTrends: Linking Research and Practice to Improve Learning, 2023
Although digital personalized learning (DPL) is assumed to be beneficial for the student as well as the teacher, the implementation process of DPL tools can be challenging. Therefore, the aim of our study is to scrutinize teachers' perceptions towards the implementation of DPL in the classroom. A total of 370 teachers from primary and secondary…
Descriptors: Electronic Learning, Individualized Instruction, Use Studies, Teacher Attitudes
Alamri, Hamdan A.; Watson, Sunnie; Watson, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Personalized learning has the potential to transfer the focus of higher education from teacher-centered to learner-centered environments. The purpose of this integrative literature review was to provide an overview of personalized learning theory, learning technology that supports the personalization of higher education, current practices, as well…
Descriptors: Individualized Instruction, Educational Technology, Technology Uses in Education, Blended Learning
Burden, Kevin; Kearney, Matthew; Schuck, Sandy; Burke, Paul – TechTrends: Linking Research and Practice to Improve Learning, 2019
This article discusses the results of a survey that measured school teachers' and mobile learning (m-learning) experts' perceptions of the relative importance and effectiveness of various pedagogical principles underpinning m-learning designs. A scan of relevant literature produced a set of articles describing effective innovative m-learning.…
Descriptors: Electronic Learning, Educational Principles, Educational Innovation, Authentic Learning
Aguilar, Stephen J. – TechTrends: Linking Research and Practice to Improve Learning, 2018
We are still designing educational experiences for the "average" student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the…
Descriptors: Instructional Design, Social Justice, Educational Research, Data Collection