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Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
Carla Quinci – Interpreter and Translator Trainer, 2024
This study combines product- and process-oriented research methods and tools to observe whether and how the presence of pre-translated text affects translation quality and influences the translator's research patterns. It is part of the LeMaTTT project, a simulated longitudinal empirical study exploring the impact of MT on info-mining and thematic…
Descriptors: Artificial Intelligence, Translation, Data Collection, Information Retrieval
Voss, Nathaniel M.; Vangsness, Lisa – Educational Measurement: Issues and Practice, 2020
While it is easy to assume that university students who wait until the last minute to complete surveys for their class research requirements provide low-quality data, this issue has not been empirically examined. The goal of the present study was to examine the relation between student research procrastination and two important data quality…
Descriptors: Time Management, College Students, Data Collection, Student Surveys
Maya Murad; KC Collins – Canadian Journal of Learning and Technology, 2024
Procrastination is a prevalent issue among university students and leads to long-term negative impacts on academic performance as well as mental health and quality of life. This paper investigated StudyTracker, a self-tracking digital application (app) that we developed for university students to use to track their study sessions. The app provided…
Descriptors: Computer Oriented Programs, Attention, Self Management, Data Collection
Kocak, Omer; Goktas, Yuksel – International Journal of Contemporary Educational Research, 2021
Smartphones, which enable us to be online everywhere and every time, are also commonly used by students today. This study aims to reveal undergraduate students' habits of using smartphones. With this purpose, the phone usage track application was installed on students' smartphones, and their 7-day use was recorded with the application and was then…
Descriptors: Telecommunications, Handheld Devices, Habit Formation, Computer Use
Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth – Frontline Learning Research, 2020
To be successful in online education, learners should be able to self-regulate their learning due to the autonomy offered to them. Accurate measurement of learners' self-regulated learning (SRL) in online education is necessary to determine which learners are in need of support and how to best offer support. Trace data is gathered automatically…
Descriptors: Learning Strategies, Online Courses, Electronic Learning, Data Collection
Oliveira, David Manuel Duarte; Pedro, Luís; Santos, Carlos – Smart Learning Environments, 2021
This paper was developed within the scope of a PhD thesis that intends to characterize the use of mobile applications by the students of the University of Aveiro during class time. The main purpose of this paper is to present the results of an initial pilot study that aimed to fine-tune data collection methods in order to gather data that…
Descriptors: Telecommunications, Higher Education, Pilot Projects, Handheld Devices
Lim, Lisa-Angelique; Dawson, Shane; Gaševic, Dragan; Joksimovic, Srecko; Fudge, Anthea; Pardo, Abelardo; Gentili, Sheridan – Australasian Journal of Educational Technology, 2020
Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students' sense-making of…
Descriptors: Individualized Instruction, Learning Analytics, Data Collection, Student Attitudes
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
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
Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
Cooper, Amanda; Klinger, Don A.; McAdie, Patricia – Educational Research, 2017
Background: Within the realm of public education, there is a well-known "knowledge to practice gap" on current conceptions of classroom assessment. A collaborative research project undertaken by the Elementary Teachers' Federation of Ontario (ETFO) and a research team at Queen's University explored the roots of this gap from the…
Descriptors: Foreign Countries, Evidence Based Practice, Educational Assessment, Theory Practice Relationship
Enugu, Ramya; Hokayem, Hayat – European Journal of Science and Mathematics Education, 2017
This study examined the challenges that pre-service teachers faced when implementing inquiry and their perspective on how to overcome them. The data sample was 55 pre-service teachers (PSTs) enrolled into two sections of a science methods course in a private university in North Texas. The data sources consisted of inquiry-based lesson plans, PST…
Descriptors: Preservice Teachers, Program Implementation, Inquiry, Teaching Models
Shaffer, Shelly – Journal of Adolescent & Adult Literacy, 2016
This article describes a qualitative case study, conducted at a high school in the Southwestern United States, that follows a veteran teacher as he develops and implements a two-week unit on "The Great Gatsby" by F. Scott Fitzgerald using flipped classroom methods. The researcher collected data while the teacher used this method for the…
Descriptors: High Schools, Secondary School Teachers, English Teachers, Blended Learning
Miyamoto, Yohsuke R.; Coleman, Cody A.; Williams, Joseph Jay; Whitehill, Jacob; Nesterko, Sergiy; Reich, Justin – Journal of Learning Analytics, 2015
A long history of laboratory and field experiments have demonstrated that dividing study time into many sessions is often superior to massing study time into few sessions, a phenomenon known as the "spacing effect." We use this well-established finding from the psychology literature as inspiration for investigating how students…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education