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Oliwa, Robert – Teaching English with Technology, 2021
This study investigates the process of designing the functionalities of an online learning platform put forward by three types of its users: students, academics and admin staff. Moreover, the study intends to get an insight into the impact the attitudes of the participants of the instruction process have on the process of the platform…
Descriptors: Curriculum Design, Online Courses, Distance Education, Electronic Learning
Magraw-Mickelson, Zoe; Wang, Harry H.; Gollwitzer, Mario – International Journal of Testing, 2022
Much psychological research depends on participants' diligence in filling out materials such as surveys. However, not all participants are motivated to respond attentively, which leads to unintended issues with data quality, known as careless responding. Our question is: how do different modes of data collection--paper/pencil, computer/web-based,…
Descriptors: Response Style (Tests), Surveys, Data Collection, Test Format
Masango, Mxolisi; Muloiwa, Takalani; Wagner, Fezile; Pinheiro, Gabriela – Journal of Student Affairs in Africa, 2020
Knowing relevant information about students entering the higher education (HE) system is becoming increasingly important, thus enabling higher education institutions (HEIs) to design effective studentcentred support programmes. Therefore, HEIs should ascertain all relevant information about their students before the commencement of the academic…
Descriptors: Test Construction, Test Use, Biographical Inventories, Questionnaires
Ruiperez-Valiente, Jose A.; Munoz-Merino, Pedro J.; Alexandron, Giora; Pritchard, David E. – IEEE Transactions on Learning Technologies, 2019
One of the reported methods of cheating in online environments in the literature is CAMEO (Copying Answers using Multiple Existences Online), where harvesting accounts are used to obtain correct answers that are later submitted in the master account which gives the student credit to obtain a certificate. In previous research, we developed an…
Descriptors: Computer Assisted Testing, Tests, Online Courses, Identification
Mikhailova, Elena A.; Post, Christopher J.; Zurqani, Hamdi A.; Younts, Grayson L. – Education Sciences, 2022
Crowdsourcing is an important tool for collecting spatio-temporal data, which has various applications in education. The objectives of this study were to develop and test a laboratory exercise on soil erosion by water and field data crowdsourcing in an online introductory soil science course (FNR 2040: Soil Information Systems) at Clemson…
Descriptors: Social Sciences, Telecommunications, Handheld Devices, Geographic Information Systems
Bao, Yingying; Chen, Guanliang; Hauff, Claudia – International Educational Data Mining Society, 2017
Massive Open Online Courses (MOOCs) are a promising form of online education. However, the occurrence of academic dishonesty has been threatening MOOC certificates' effectiveness as a serious tool for recruiters and employers. Recently, a large-scale study on the log traces from more than one hundred MOOCs created by Harvard and MIT has identified…
Descriptors: Large Group Instruction, Online Courses, Cheating, Incidence
Nugent, Gwen; Guru, Ashu; Namuth-Covert, Deana M. – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This study examines differences in credit and noncredit users' learning and usage of the Plant Sciences E-Library (PASSEL, http://passel.unl.edu), a large international, open-source multidisciplinary learning object repository. Background: Advances in online education are helping educators to meet the needs of formal academic credit…
Descriptors: Academic Libraries, Electronic Libraries, Research Libraries, Electronic Learning
Gibson, David; de Freitas, Sara – Technology, Knowledge and Learning, 2016
This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5-year period at a large Australian university. The complex…
Descriptors: Foreign Countries, Educational Research, Data Collection, Data Analysis
Ingrid Nix; Marion Hall – Sage Research Methods Cases, 2016
This case study describes a method of collecting data on students' experiences of developing digital literacy (information and communications technology) skills as part of their course at the United Kingdom's Open University. An online reflective quiz was integrated into three health and social care modules, offering students the opportunity both…
Descriptors: Foreign Countries, Questionnaires, Interviews, Data Collection
Zimbardi, Kirsten; Colthorpe, Kay; Dekker, Andrew; Engstrom, Craig; Bugarcic, Andrea; Worthy, Peter; Victor, Ruban; Chunduri, Prasad; Lluka, Lesley; Long, Phil – Assessment & Evaluation in Higher Education, 2017
Feedback is known to have a large influence on student learning gains, and the emergence of online tools has greatly enhanced the opportunity for delivering timely, expressive, digital feedback and for investigating its learning impacts. However, to date there have been no large quantitative investigations of the feedback provided by large teams…
Descriptors: Student Evaluation, Feedback (Response), Academic Achievement, Achievement Gains
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
Frick, Theodore; Dagli, Cesur – Technology, Knowledge and Learning, 2016
We illustrate a very recent research study that demonstrates the value of Massive Open Online Courses (MOOCs) as vehicles for research. We describe the development of the Indiana University Plagiarism Tutorials and Tests (IPTAT). Our new design has been guided by "First Principles of Instruction": authentic problems, activation,…
Descriptors: Online Courses, College Students, Plagiarism, Tutorial Programs
Pawl, Andrew; Teodorescu, Raluca E.; Peterson, Joseph D. – Physical Review Special Topics - Physics Education Research, 2013
We have developed simple data-mining algorithms to assess the consistency and the randomness of student responses to problems consisting of multiple true or false statements. In this paper we describe the algorithms and use them to analyze data from introductory physics courses. We investigate statements that emerge as outliers because the class…
Descriptors: Data Collection, Test Reliability, Physics, Introductory Courses
Baker, Ryan S.; Corbett, Albert T. – Research & Practice in Assessment, 2014
Many university leaders and faculty have the goal of promoting learning that connects across domains and prepares students with skills for their whole lives. However, as assessment emerges in higher education, many assessments focus on knowledge and skills that are specific to a single domain. Reworking assessment in higher education to focus on…
Descriptors: Educational Assessment, Data Collection, Information Retrieval, Learning Processes
Levy, Yair; Ramim, Michelle M. – Interdisciplinary Journal of E-Learning and Learning Objects, 2012
Procrastination appears to be an inevitable part of daily life, especially for activities that are bounded by deadlines. It has implications for performance and is known to be linked to poor personal time management. Although research related to procrastination as a general behavior has been well established, studies assessing procrastination in…
Descriptors: Computer Assisted Testing, Time Management, Student Behavior, Data Collection
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