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Showing 1 to 15 of 26 results Save | Export
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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
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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
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James Pengelley; Peter R. Whipp; Anabela Malpique – Technology, Pedagogy and Education, 2025
The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…
Descriptors: Cognitive Processes, Paper and Pencil Tests, Computer Assisted Testing, Student Evaluation
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Sudakova, Natalia E.; Savina, Tatyana N.; Masalimova, Alfiya R.; Mikhaylovsky, Mikhail N.; Karandeeva, Lyudmila G.; Zhdanov, Sergei P. – Education Sciences, 2022
Assessment is critical in postsecondary education, as it is at all levels. Assessments are classified into four types: diagnostic, summative, evaluative, and formative. Recent trends in assessment have migrated away from summative to formative evaluations. Formative evaluations help students develop expertise and concentrate their schedules, ease…
Descriptors: Computer Assisted Testing, Formative Evaluation, Higher Education, Bibliometrics
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Delnoij, Laurie E. C.; Janssen, José P. W; Dirkx, Kim J. H.; Martens, Rob L. – International Journal of Assessment Tools in Education, 2022
Informed study decisions are pivotal for student retention in higher online education. A self-assessment prior to enrolment has been proposed as a promising approach to enable informed decision-making and to build resources for retention. To determine whether such a self-assessment affects the decision-making process as intended, thorough and…
Descriptors: Computer Assisted Testing, Self Evaluation (Individuals), Decision Making, Test Validity
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Allan, Stuart – Research in Learning Technology, 2020
Many institutions are making the move from pen and paper to online examinations, but the literature offers relatively few critical reflections on the ramifications of such a shift. This research presents evidence of the ways in which the social and human practices of online exams are deeply entangled with the material and technological, and…
Descriptors: Foreign Countries, Student Evaluation, Computer Assisted Testing, Educational Benefits
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Campbell, Anita L.; Craig, Tracy S.; Mofolo-Mbokane, Batseba; Padayachee, Pragashni – International Journal of Mathematical Education in Science and Technology, 2022
We are four academics teaching mathematics at three different higher education institutions over two continents. Through fortnightly meetings to research how our practices changed as a result of the COVID-19 lockdowns, we formed a community of practice. The process of articulating our experiences and ideas, and reflecting on the recorded meetings…
Descriptors: College Faculty, COVID-19, Pandemics, Communities of Practice
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Okada, Alexandra; Noguera, Ingrid; Alexieva, Lyubka; Rozeva, Anna; Kocdar, Serpil; Brouns, Francis; Ladonlahti, Tarja; Whitelock, Denise; Guerrero-Roldán, Ana-Elena – British Journal of Educational Technology, 2019
Checking the identity of students and authorship of their online submissions is a major concern in Higher Education due to the increasing amount of plagiarism and cheating using the Internet. The literature on the effects of e-authentication systems for teaching staff is very limited because it is a novel procedure for them. A considerable gap is…
Descriptors: Audits (Verification), Plagiarism, Cheating, Internet
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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
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van den Bogaart, Antoine C. M.; Schaap, Harmen; Hummel, Hans G. K.; Kirschner, Paul A. – Instructional Science: An International Journal of the Learning Sciences, 2017
This article presents the use of personal professional theories (PPTs) in Dutch higher vocational education. PPTs are internalised bodies of formal and practical knowledge and convictions that professionals use to direct their behaviour. With the aid of high-quality representations of students' PPTs teachers can access, monitor, and support the…
Descriptors: Concept Mapping, Interviews, Schemata (Cognition), Higher Education
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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
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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
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van den Bogaart, Antoine C. M.; Bilderbeek, Richel J. C.; Schaap, Harmen; Hummel, Hans G. K.; Kirschner, Paul A. – Technology, Pedagogy and Education, 2016
This article introduces a dedicated, computer-supported method to construct and formatively assess open, annotated concept maps of Personal Professional Theories (PPTs). These theories are internalised, personal bodies of formal and practical knowledge, values, norms and convictions that professionals use as a reference to interpret and acquire…
Descriptors: Vocational Education, Computer Assisted Testing, Formative Evaluation, Concept Mapping
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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)
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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
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