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Balaban, Igor; Filipovic, Danijel; Zlatovic, Miran – Education and Information Technologies, 2023
This study aims to discover groups of students enrolled in the emergency remote teaching online course based on the various course-related data collected throughout the first year of COVID-19 pandemic. Research was conducted among 222 students enrolled in the course "Business Informatics" at the Faculty of Organization and Informatics of…
Descriptors: Identification, Multivariate Analysis, Profiles, Emergency Programs
Nabizadeh, Amir Hossein; Goncalves, Daniel; Gama, Sandra; Jorge, Joaquim – IEEE Transactions on Learning Technologies, 2022
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…
Descriptors: College Students, Prediction, Grades (Scholastic), Game Based Learning
Fan, Yizhou; Matcha, Wannisa; Uzir, Nora'ayu Ahmad; Wang, Qiong; Gaševic, Dragan – International Journal of Artificial Intelligence in Education, 2021
The importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of…
Descriptors: Learning Analytics, Instructional Design, Independent Study, Multivariate Analysis
Poellhuber, Bruno; Roy, Normand; Bouchoucha, Ibthihel – International Review of Research in Open and Distributed Learning, 2019
As the offer of Massive Open Online Courses (MOOCs) continues to grow around the world, a great deal of MOOC research has focused on their low success rates and used indicators that might be more appropriate for traditional degree-seeking students than for MOOC learners, who, because of the openness of MOOCs, represent a more diverse clientele who…
Descriptors: Online Courses, Integrated Learning Systems, Distance Education, Student Behavior
van den Beemt, Antoine; Buys, Joos; van der Aalst, Wil – International Review of Research in Open and Distributed Learning, 2018
The increasing use of digital systems to support learning leads to a growth in data regarding both learning processes and related contexts. Learning Analytics offers critical insights from these data, through an innovative combination of tools and techniques. In this paper, we explore students' activities in a MOOC from the perspective of personal…
Descriptors: Online Courses, Student Behavior, Behavior Patterns, Academic Achievement
Zhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
Mulenga, Eddie M.; Marbán, José M. – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The learning situation in the Zambian education sector has changed in the age of COVID-19 when the first two cases of COVID-19 infection were detected in the country rising to 45 local and at least 1.8 million infections globally by 13th April, 2020. Zambia became one of the many countries globally that has prematurely closed all schools. This…
Descriptors: Preservice Teachers, Online Courses, Mathematics Activities, COVID-19
Myint, Leslie; Hadavand, Aboozar; Jager, Leah; Leek, Jeffrey – Journal of Statistics Education, 2020
We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…
Descriptors: Statistics, Randomized Controlled Trials, Teaching Methods, Courseware
Perrotta, Carlo; Williamson, Ben – Learning, Media and Technology, 2018
This paper argues that methods used for the classification and measurement of online education are not neutral and objective, but involved in the creation of the educational realities they claim to measure. In particular, the paper draws on material semiotics to examine cluster analysis as a 'performative device' that, to a significant extent,…
Descriptors: Educational Research, Data Collection, Data Analysis, Multivariate Analysis
Rawat, Bhupesh; Dwivedi, Sanjay K. – International Journal of Information and Communication Technology Education, 2019
With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…
Descriptors: Electronic Learning, Student Characteristics, Learning Processes, Management Systems
Chen, Zhongzhou; Lee, Sunbok; Garrido, Geoffrey – International Educational Data Mining Society, 2018
The amount of information contained in any educational data set is fundamentally constrained by the instructional conditions under which the data are collected. In this study, we show that by redesigning the structure of traditional online courses, we can improve the ability of educational data mining to provide useful information for instructors.…
Descriptors: Online Courses, Course Organization, Data Analysis, Instructional Design
Quintana, Rebecca M.; Tan, Yuanru – Online Learning, 2019
We explore new tools and methods for learning designers and researchers to characterize pedagogical approaches that are applied to the design of MOOCs. This paper makes three main contributions to literature on MOOC design and evaluation: (1) an Expanded Assessing MOOC Pedagogies instrument for use by learning designers and researchers within…
Descriptors: Large Group Instruction, Online Courses, Instructional Design, Teaching Methods
Mingfang, Zhu; Qi, Wang – Higher Education Studies, 2018
From "God's favored person" to "ordinary worker", college students become indifferent to life and addicted to web gaming because they face a rapid devaluation of college student identity in China. At the same time, MOOC and other online learning resources are bringing students better personal learning environment and requiring…
Descriptors: Foreign Countries, College Students, Self Concept, Online Courses
Martin, Anna M. – ProQuest LLC, 2017
As both universities and students demonstrate an increasing interest in offering and taking online courses, a better understanding of the causes of student outcomes, such as student achievement has become increasingly important. Exploring the causes of varying rates of student success in online courses of higher education is an ongoing challenge…
Descriptors: Teacher Characteristics, College Faculty, Higher Education, Online Courses
Smith, Nichole Danielle – ProQuest LLC, 2017
According to the few quasi-experimental studies examining course outcomes for community college (Xu & Jaggars, 2011a, 2011b, 2013, 2014) and for-profit students (Bettinger, Fox, Loeb, & Taylor, 2014), there is a significant penalty for online students. No comparable research has been conducted on public four-year university students to…
Descriptors: College Students, Enrollment, Online Courses, Withdrawal (Education)