NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Family Educational Rights and…1
Assessments and Surveys
Study Process Questionnaire1
What Works Clearinghouse Rating
Showing 1 to 15 of 72 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Boroujeni, Mina Shirvani; Dillenbourg, Pierre – Journal of Learning Analytics, 2019
The large-scale and granular interaction data collected in online learning platforms such as massive open online courses (MOOCs) provide unique opportunities to better understand individuals' learning processes and could facilitate the design of personalized and more effective support mechanisms for learners. In this paper, we present two…
Descriptors: Online Courses, Large Group Instruction, Learning Processes, Study Habits
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ruiz-Calleja, Adolfo; Dennerlein, Sebastian; Kowald, Dominik; Theiler, Dieter; Lex, Elisabeth; Ley, Tobias – Journal of Learning Analytics, 2019
In this paper, we propose the Social Semantic Server (SSS) as a service-based infrastructure for workplace and professional learning analytics (LA). The design and development of the SSS have evolved over eight years, starting with an analysis of workplace learning inspired by knowledge creation theories and their application in different…
Descriptors: Workplace Learning, Learning Analytics, Data Processing, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Winne, Philip H.; Teng, Kenny; Chang, Daniel; Lin, Michael Pin-Chuan; Marzouk, Zahia; Nesbit, John C.; Patzak, Alexandra; Rakovic, Mladen; Samadi, Donya; Vytasek, Jovita – Journal of Learning Analytics, 2019
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gaševic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…
Descriptors: Learning Analytics, Learning Processes, Independent Study, Computer Software
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nguyen, Quan; Huptych, Michal; Rienties, Bart – Journal of Learning Analytics, 2018
Extensive research in learning science has established the importance of time management in online learning. Recently, learning analytics (LA) has shed further lights on the temporal characteristics of learning by allowing researchers to capture authentic digital footprints of student learning behaviours. Nonetheless, students' timing of…
Descriptors: Time Management, Online Courses, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Motz, Benjamin A.; Carvalho, Paulo F.; de Leeuw, Joshua R.; Goldstone, Robert L. – Journal of Learning Analytics, 2018
To identify the ways teachers and educational systems can improve learning, researchers need to make causal inferences. Analyses of existing datasets play an important role in detecting causal patterns, but conducting experiments also plays an indispensable role in this research. In this article, we advocate for experiments to be embedded in real…
Descriptors: Causal Models, Statistical Inference, Inferences, Educational Experiments
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Shum, Simon Buckingham; Sándor, Ágnes; Goldsmith, Rosalie; Bass, Randall; McWilliams, Mindy – Journal of Learning Analytics, 2017
When used effectively, reflective writing tasks can deepen learners' understanding of key concepts, help them critically appraise their developing professional identity, and build qualities for lifelong learning. As such, reflective writing is attracting substantial interest from universities concerned with experiential learning, reflective…
Descriptors: Reflection, Writing Assignments, Educational Research, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Crick, Ruth Deakin; Knight, Simon; Barr, Steven – Journal of Learning Analytics, 2017
Central to the mission of most educational institutions is the task of preparing the next generation of citizens to contribute to society. Schools, colleges, and universities value a range of outcomes--e.g., problem solving, creativity, collaboration, citizenship, service to community--as well as academic outcomes in traditional subjects. Often…
Descriptors: Educational Improvement, Holistic Approach, Data Collection, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Epp, Carrie Demmans; Phirangee, Krystle; Hewitt, Jim – Journal of Learning Analytics, 2017
Identifying which online behaviours and interactions are associated with student perceptions of being supported will enable a deeper understanding of how those activities contribute to learning experiences. Student language is one aspect of their interaction in need of greater exploration within discourse-based online learning environments. As a…
Descriptors: Student Behavior, Computer Mediated Communication, Form Classes (Languages), Language Usage
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sharma, Kshitij; Chavez-Demoulin, Valérie; Dillenbourg, Pierre – Journal of Learning Analytics, 2017
The statistics used in education research are based on central trends such as the mean or standard deviation, discarding outliers. This paper adopts another viewpoint that has emerged in statistics, called extreme value theory (EVT). EVT claims that the bulk of normal distribution is comprised mainly of uninteresting variations while the most…
Descriptors: Foreign Countries, Educational Research, Statistical Distributions, Theories
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dowell, Nia M. M.; Graesser, Arthur C.; Cai, Zhiqiang – Journal of Learning Analytics, 2016
The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We…
Descriptors: Discourse Analysis, Workshops, Computational Linguistics, Guidelines
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Khalila, Mohammad; Ebner, Martin – Journal of Learning Analytics, 2016
Learning analytics has reserved its position as an important field in the educational sector. However, the large-scale collection, processing, and analyzing of data has steered the wheel beyond the borders to face an abundance of ethical breaches and constraints. Revealing learners' personal information and attitudes, as well as their activities,…
Descriptors: Educational Research, Data Collection, Data Analysis, Technology Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Cormack, Andrew – Journal of Learning Analytics, 2016
Most studies on the use of digital student data adopt an ethical framework derived from human-subject research, based on the informed consent of the experimental subject. However, consent gives universities little guidance on using learning analytics as a routine part of educational provision: which purposes are legitimate and which analyses…
Descriptors: Data Analysis, Data Collection, Educational Research, Information Security
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5