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Christensen, Rhonda; Hodges, Charles B.; Spector, J. Michael – Technology, Knowledge and Learning, 2022
Replicating research studies is considered one way of establishing validity and confidence of findings in a field of study. In this paper, we introduce a replication framework for classifying studies conducted in the area of educational technology as a possible guide to conducting and reporting replication studies in the field. The paper includes…
Descriptors: Educational Technology, Educational Research, Classification, Replication (Evaluation)
K. I. Senadhira; R. A. H. M. Rupasingha; B. T. G. S. Kumara – Education and Information Technologies, 2024
The majority of educational institutions around the world have switched to online learning due to the COVID-19 pandemic. Since continuing education has become important during the pandemic as well, academics and students have recognized the value of online learning to avoid their challenges. The objective of this study is to categorize peoples'…
Descriptors: Classification, Artificial Intelligence, Social Media, Electronic Learning
Jessica Gatewood – ProQuest LLC, 2024
This non-experimental causal-comparative study aims to explore the possible effect of expertise on learning experience design (LXD) deviation identification and the classification of these deviations in alignment with provided learning experience design constructs within a learning technology. Additionally, this study challenges Nielsen's (1993)…
Descriptors: Educational Technology, Novices, Expertise, Learning Experience
Samaniego, José Miguel – Digital Education Review, 2023
This paper presents a cartography of the digital literacy academic field. Such cartography is comprised of two sections: a categorization of the field through literature review and analysis, and an exploration of its main issues through thematic and network analysis. On the one hand, five conceptual categories of digital literacies are found:…
Descriptors: Cartography, Digital Literacy, Classification, Network Analysis
Huang, Tao; Hu, Shengze; Yang, Huali; Geng, Jing; Liu, Sannyuya; Zhang, Hao; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
The global outbreak of the new coronavirus epidemic has promoted the development of intelligent education and the utilization of online learning systems. In order to provide students with intelligent services, such as cognitive diagnosis and personalized exercises recommendation, a fundamental task is the concept tagging for exercises, which…
Descriptors: Educational Technology, Prediction, Electronic Learning, Intelligent Tutoring Systems
Horvath, Kenneth; Steinberg, Mario – Learning, Media and Technology, 2023
Allowing learners to move across learning contexts in novel ways, digital tools play an increasingly central role for the formation of learning trajectories and identities. They thus presumably also affect dynamics of social sorting in education. Against this background, this article introduces a conceptual framework for unravelling dynamics of…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Learning Trajectories
Higgins, Traci; Mokros, Jan; Rubin, Andee; Sagrans, Jacob – Teaching Statistics: An International Journal for Teachers, 2023
In the context of an afterschool program in which students explore relatively large authentic datasets, we investigated how 11- to 14-year old students worked with categorical variables. During the program, students learned to use the Common Online Data Analysis Platform (CODAP), a statistical analysis platform specifically designed for middle and…
Descriptors: Classification, After School Programs, Data Analysis, Middle School Students
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
Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
Holmes, Wayne; Tuomi, Ilkka – European Journal of Education, 2022
Recent developments in Artificial Intelligence (AI) have generated great expectations for the future impact of AI in education and learning (AIED). Often these expectations have been based on misunderstanding current technical possibilities, lack of knowledge about state-of-the-art AI in education, and exceedingly narrow views on the functions of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Educational Trends
Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
Xieling Chen; Di Zou; Haoran Xie; Gary Cheng; Zongxi Li; Fu Lee Wang – International Review of Research in Open and Distributed Learning, 2025
Massive open online courses (MOOCs) offer rich opportunities to comprehend learners' learning experiences by examining their self-generated course evaluation content. This study investigated the effectiveness of fine-tuned BERT models for the automated classification of topics in online course reviews and explored the variations of these topics…
Descriptors: MOOCs, Distance Education, Online Courses, Course Evaluation
Nesrine Mansouri; Mourad Abed; Makram Soui – Education and Information Technologies, 2024
Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…
Descriptors: Undergraduate Students, Decision Making, Majors (Students), Specialization
Major, Louis; Smørdal, Ole; Warwick, Paul; Rasmussen, Ingvill; Cook, Victoria; Vrikki, Maria – International Journal of Research & Method in Education, 2023
Analysing the interaction between classroom dialogue and digital technology is challenging. Studies in this area typically draw on methods developed for the analysis of spoken interactions. This article reports on a new approach for analysing the enacted affordances of digital technology in classroom dialogue. Using examples from cross-country…
Descriptors: Classroom Communication, Educational Technology, Interaction, Affordances
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