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Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Chiu, Ming Ming – Journal of Learning Analytics, 2018
Learning analysts often consider whether learning processes across time are related (1) to one another or (2) to learning outcomes at higher levels. For example, are a group's temporal sequences of talk (e.g., correct evaluation [right arrow] correct, new idea) during its problem solving related to its group solution? I show how to address these…
Descriptors: Statistical Analysis, Models, Data Analysis, Regression (Statistics)
Youngs, Bonnie L.; Prakash, Akhil; Nugent, Rebecca – Computer Assisted Language Learning, 2018
Logged tracking data for online courses are generally not available to instructors, students, and course designers and developers, and even if these data were available, most content-oriented instructors do not have the skill set to analyze them. Learning analytics, mined from logged course data and usually presented in the form of learning…
Descriptors: Online Courses, French, Second Language Learning, Second Language Instruction
Sorour, Shaymaa E.; Goda, Kazumasa; Mine, Tsunenori – Educational Technology & Society, 2017
The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson can reflect students' learning attitudes, tendencies and learning activities involved with the lesson. In this research, Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic…
Descriptors: Data Analysis, Information Retrieval, Academic Achievement, Student Attitudes
Chen, Bodong; Resendes, Monica; Chai, Ching Sing; Hong, Huang-Yao – Interactive Learning Environments, 2017
As collaborative learning is actualized through evolving dialogues, temporality inevitably matters for the analysis of collaborative learning. This study attempts to uncover sequential patterns that distinguish "productive" threads of knowledge-building discourse. A database of Grade 1-6 knowledge-building discourse was first coded for…
Descriptors: Elementary Education, Knowledge Level, Databases, Coding
Rihtaršic, David; Avsec, Stanislav; Kocijancic, Slavko – International Journal of Technology and Design Education, 2016
The purpose of this paper is to investigate whether the experiential learning of electronics subject matter is effective in the middle school open learning of robotics. Electronics is often ignored in robotics courses. Since robotics courses are typically comprised of computer-related subjects, and mechanical and electrical engineering, these…
Descriptors: Experiential Learning, Middle School Students, Electronics, Robotics
Chang, Hsin-Yi – Interactive Learning Environments, 2017
Two investigations were conducted in this study. In the first experiment, the effects of two types of interactivity with a computer simulation were compared: experimentation versus observation interactivity. Experimentation interactivity allows students to use simulations to conduct virtual experiments, whereas observation interactivity allows…
Descriptors: Computer Simulation, Interaction, Scaffolding (Teaching Technique), Experiments
Williamson, Ben – European Educational Research Journal, 2016
This article analyses the rise of software systems in education governance, focusing on digital methods in the collection, calculation and circulation of educational data. It examines how software-mediated methods intervene in the ways educational institutions and actors are seen, known and acted upon through an analysis of the methodological…
Descriptors: Governance, Educational Administration, Data Analysis, Data Collection
Siadaty, Melody; Gaševic, Dragan; Hatala, Marek – Journal of Learning Analytics, 2016
To keep pace with today's rapidly growing knowledge-driven society, productive self-regulation of one's learning processes are essential. We introduce and discuss a trace-based measurement protocol to measure the effects of scaffolding interventions on self-regulated learning (SRL) processes. It guides tracing of learners' actions in a learning…
Descriptors: Metacognition, Learning Processes, Intervention, Technology Uses in Education
Zhang, Jia-Hua; Zhang, Ye-Xing; Zou, Qin; Huang, Sen – Educational Technology & Society, 2018
The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…
Descriptors: Data Collection, Data Analysis, Educational Research, Diaries
Hoogerheide, Vincent; Loyens, Sofie M. M.; van Gog, Tamara – Instructional Science: An International Journal of the Learning Sciences, 2016
Online learning from video modeling examples, in which a human model demonstrates and explains how to perform a learning task, is an effective instructional method that is increasingly used nowadays. However, model characteristics such as gender tend to differ across videos, and the model-observer similarity hypothesis suggests that such…
Descriptors: Video Technology, Modeling (Psychology), Electronic Learning, Gender Differences
Sonnenberg, Christoph; Bannert, Maria – Journal of Learning Analytics, 2015
According to research examining self-regulated learning (SRL), we regard individual regulation as a specific sequence of regulatory activities. Ideally, students perform various learning activities, such as analyzing, monitoring, and evaluating cognitive and motivational aspects during learning. Metacognitive prompts can foster SRL by inducing…
Descriptors: Metacognition, Cues, Control Groups, Outcomes of Education
Li, Lan; Gao, Fei – Assessment & Evaluation in Higher Education, 2016
Peer assessment has been increasingly integrated in educational settings as a strategy to foster student learning. Yet little has been studied about how students at different learning levels may benefit from peer assessment. This study examined how peer-assessment and students' learning levels influenced students' project performance using a…
Descriptors: Peer Evaluation, Performance Based Assessment, Factor Analysis, Statistical Analysis
Chen, Xin; Vorvoreanu, Mihaela; Madhavan, Krishna – IEEE Transactions on Learning Technologies, 2014
Students' informal conversations on social media (e.g., Twitter, Facebook) shed light into their educational experiences--opinions, feelings, and concerns about the learning process. Data from such uninstrumented environments can provide valuable knowledge to inform student learning. Analyzing such data, however, can be challenging. The complexity…
Descriptors: Social Media, Data Analysis, Sleep, Engineering Education
Colasante, Meg; Douglas, Kathy – Australasian Journal of Educational Technology, 2016
Annotation of video provides students with the opportunity to view and engage with audiovisual content in an interactive and participatory way rather than in passive-receptive mode. This article discusses research into the use of video annotation in four vocational programs at RMIT University in Melbourne, which allowed students to interact with…
Descriptors: Active Learning, Video Technology, Audiovisual Aids, Interactive Video
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