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David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
Susan E. Ramlo – Sage Research Methods Cases, 2022
Q methodology (Q) offers a scientific way to study subjectivity, meaning people's viewpoints about a topic. The underlying assumption of Q is that when people share an experience, they do not necessarily form the same viewpoint about that experience. This is different from the use of Likert-scale surveys that report results using aggregate…
Descriptors: COVID-19, Pandemics, Higher Education, Q Methodology
Yilmaz, Oguz; Hebebci, Mustafa Tevfik – International Society for Technology, Education, and Science, 2022
This research aims to determine the strengths and weaknesses of the online exams, as well as the aspects that can be evaluated as opportunities and threats, by making a SWOT analysis of the online exams that are frequently used in the distance education process. For this purpose, the study was designed with the case study technique, one of the…
Descriptors: Teacher Attitudes, Opinions, Computer Assisted Testing, Strategic Planning
Nguyen, Kim V.; Tansan, Merve; Newcombe, Nora S. – Journal of Cognition and Development, 2023
Research on spatial navigation is essential to understanding how mobile species adapt to their environments. Such research increasingly uses virtual environments (VEs) because, although VE has drawbacks, it allows for standardization of procedures, precision in measuring behaviors, ease in introducing variation, and cross-investigator…
Descriptors: Computer Simulation, Spatial Ability, Navigation, Research Methodology
Dongpeng Huang; Yixuan Huang; James J. Cummings – Australasian Journal of Educational Technology, 2024
The integration of generative artificial intelligence (GenAI) into web-based individual formative e-assessments in higher education is a nascent field that warrants further exploration. This study investigated the use of GenAI within an 8-week undergraduate-level research methods course at a university in the United States of America, aiming to…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Formative Evaluation
Parmin; Erna Noor Savitri; Yahya Nur Ifriza – South African Journal of Education, 2025
With the research reported here, we specifically aim to develop application products of scientific work independence instruments through science integrated learning (SIL) for various education levels (elementary schools, junior high schools, senior high schools, and universities). The SIL model was applied in learning to determine specific…
Descriptors: Elementary School Students, Secondary School Students, College Students, Student Development
Genemo, Hussein; Miah, Shah Jahan; McAndrew, Alasdair – Education and Information Technologies, 2016
Assessment has been defined as an authentic method that plays an important role in evaluating students' learning attitude in acquiring lifelong knowledge. Traditional methods of assessment including the Computer-Aided Assessment (CAA) for mathematics show limited ability to assess students' full work unless multi-step questions are sub-divided…
Descriptors: Research Methodology, Information Technology, Computer Assisted Testing, Models
Haan, Marieke; Lugtig, Peter; Toepoel, Vera – International Journal of Social Research Methodology, 2019
In this study, we investigate whether mobile device use in surveys can be predicted. We aim to identify possible motives for device use and build a model by drawing on theory from technology acceptance research and survey research. We then test this model with a Structural Equation Modeling approach using data of seven waves of the GESIS panel. We…
Descriptors: Telecommunications, Handheld Devices, Surveys, Intention
Cillessen, Antonius H. N.; Marks, Peter E. L. – New Directions for Child and Adolescent Development, 2017
Although peer nomination measures have been used by researchers for nearly a century, common methodological practices and rules of thumb (e.g., which variables to measure; use of limited vs. unlimited nomination methods) have continued to develop in recent decades. At the same time, other key aspects of the basic nomination procedure (e.g.,…
Descriptors: Peer Relationship, Research Methodology, Decision Making, Data Collection
Computer-Based Methods for Collecting Peer Nomination Data: Utility, Practice, and Empirical Support
van den Berg, Yvonne H. M.; Gommans, Rob – New Directions for Child and Adolescent Development, 2017
New technologies have led to several major advances in psychological research over the past few decades. Peer nomination research is no exception. Thanks to these technological innovations, computerized data collection is becoming more common in peer nomination research. However, computer-based assessment is more than simply programming the…
Descriptors: Psychological Studies, Peer Relationship, Evaluation Methods, Decision Making
Fernanda Ferreira; Zoe Yang – Discourse Processes: A Multidisciplinary Journal, 2019
Most research in psycholinguistics relies on online measures such as reading time to inform and test theories of language comprehension. However, the value of offline measures such as question-answering performance is sometimes overlooked in sentence processing work. Consequently, psycholinguists do not yet understand how the tasks and measures…
Descriptors: Psycholinguistics, Reading Strategies, Language Processing, Reading Processes
Malik, Kaleem Razzaq; Ahmad, Tauqir – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Electronic Assessment (E-Assessment) also known as computer aided assessment for the purposes involving diagnostic, formative or summative examining using data analysis. Digital assessments come commonly from social, academic, and adaptive learning in machine readable forms to deliver the machine scoring function. To achieve real-time and smart…
Descriptors: Computer Assisted Testing, Databases, Case Studies, Research Methodology
Lee, Hee-Sun; McNamara, Danielle; Bracey, Zoë Buck; Wilson, Christopher; Osborne, Jonathan; Haudek, Kevin C.; Liu, Ou Lydia; Pallant, Amy; Gerard, Libby; Linn, Marcia C.; Sherin, Bruce – Grantee Submission, 2019
Rapid advancements in computing have enabled automatic analyses of written texts created in educational settings. The purpose of this symposium is to survey several applications of computerized text analyses used in the research and development of productive learning environments. Four featured research projects have developed or been working on:…
Descriptors: Computational Linguistics, Written Language, Computer Assisted Testing, Scoring
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