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Conijn, Rianne; Kleingeld, Ad; Matzat, Uwe; Snijders, Chris – Journal of Computer Assisted Learning, 2022
Background: Online and blended learning need an appropriate assessment strategy which ensures academic integrity. During the pandemic, many universities have chosen for online proctoring. Although some earlier examples suggest that online proctoring may reduce cheating, the potential side-effects of proctoring are largely unknown. Objectives:…
Descriptors: Supervision, Computer Assisted Testing, Integrity, Cheating
Halem, Nicolette; Klaveren, Chris; Cornelisz, Ilja – Higher Education Quarterly, 2021
Virtual proctoring technology is credited with increasing the accessibility of exams by enabling students to participate in exams at any time and place. In this field experiment, students were randomly assigned to virtual proctoring or traditional on-campus examination to evaluate the effect, nature and timing of implementation barriers for online…
Descriptors: Foreign Countries, Supervision, Computer Assisted Testing, Barriers
Whitelock, Denise; Edwards, Chris; Okada, Alexandra – Journal of Learning for Development, 2020
The EU-funded TeSLA project -- Adaptive Trust-based e-Assessment System for Learning (http://tesla-project.eu) -- has developed a suite of instruments for e-Authentication. These include face recognition, voice recognition, keystroke dynamics, forensic analysis and plagiarism detection, which were designed for integration within a university's…
Descriptors: Computer Security, Electronic Learning, Student Attitudes, Teacher Attitudes
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
Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth; Kalz, Marco – Journal of Computing in Higher Education, 2017
The number of students engaged in Massive Open Online Courses (MOOCs) is increasing rapidly. Due to the autonomy of students in this type of education, students in MOOCs are required to regulate their learning to a greater extent than students in traditional, face-to-face education. However, there is no questionnaire available suited for this…
Descriptors: Online Courses, Independent Study, Questionnaires, Likert Scales
Fiorella, Logan; van Gog, Tamara; Hoogerheide, Vincent; Mayer, Richard E. – Journal of Educational Psychology, 2017
The present study tests whether presenting video modeling examples from the learner's (first-person) perspective promotes learning of an assembly task, compared to presenting video examples from a third-person perspective. Across 2 experiments conducted in different labs, university students viewed a video showing how to assemble an 8-component…
Descriptors: Perspective Taking, Video Technology, Instructional Materials, Modeling (Psychology)
Roelofs, Ardi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Investigators have found no agreement on the functional locus of Stroop interference in vocal naming. Whereas it has long been assumed that the interference arises during spoken word planning, more recently some investigators have revived an account from the 1960s and 1970s holding that the interference occurs in an articulatory buffer after word…
Descriptors: Eye Movements, Interference (Language), Naming, Pictorial Stimuli
Pechenizkiy, Mykola; Trcka, Nikola; Vasilyeva, Ekaterina; van der Aalst, Wil; De Bra, Paul – International Working Group on Educational Data Mining, 2009
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated through the use of different information systems. The results of data mining can be used for getting a better understanding of the underlying educational processes, for…
Descriptors: Data Analysis, Methods, Computer Software, Computer Assisted Testing
Hol, A. Michiel; Vorst, Harrie C. M.; Mellenbergh, Gideon J. – Applied Psychological Measurement, 2007
In a randomized experiment (n = 515), a computerized and a computerized adaptive test (CAT) are compared. The item pool consists of 24 polytomous motivation items. Although items are carefully selected, calibration data show that Samejima's graded response model did not fit the data optimally. A simulation study is done to assess possible…
Descriptors: Student Motivation, Simulation, Adaptive Testing, Computer Assisted Testing
Kalz, Marco; van Bruggen, Jan; Giesbers, Bas; Waterink, Wim; Eshuis, Jannes; Koper, Rob – Campus-Wide Information Systems, 2008
Purpose: The purpose of this paper is twofold: first the paper aims to sketch the theoretical basis for the use of electronic portfolios for prior learning assessment; second it endeavours to introduce latent semantic analysis (LSA) as a powerful method for the computation of semantic similarity between texts and a basis for a new observation link…
Descriptors: Evaluation Methods, Portfolio Assessment, Portfolios (Background Materials), Open Universities

Martens, Rob; Hermans, Henry – Studies in Educational Evaluation, 2000
Developed seven Internet-delivered tests of prior knowledge for distance education students in the Netherlands interested in gaining information about future studies. Analysis of 151 responses received through the Web site showed student appreciation of the instruments and the assessment process. (SLD)
Descriptors: College Students, Computer Assisted Testing, Distance Education, Evaluation Methods
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers