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Fröber, Kerstin; Jurczyk, Vanessa; Dreisbach, Gesine – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Frequent forced switching between tasks has been shown to reduce switch costs and increase voluntary switch rates. So far, however, the boundary conditions of the influence of forced task switching on voluntary task switching are unknown. Thus, the present study was aimed to test different aspects of generalizability (across items, tasks, and…
Descriptors: Cognitive Ability, Attention Control, Task Analysis, Generalization
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Beaty, Roger E.; Johnson, Dan R.; Zeitlen, Daniel C.; Forthmann, Boris – Creativity Research Journal, 2022
Semantic distance is increasingly used for automated scoring of originality on divergent thinking tasks, such as the Alternate Uses Task (AUT). Despite some psychometric support for semantic distance -- including positive correlations with human creativity ratings -- additional work is needed to optimize its reliability and validity, including…
Descriptors: Semantics, Scoring, Creative Thinking, Creativity
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Koch, Marco; Spinath, Frank M.; Greiff, Samuel; Becker, Nicolas – Journal of Intelligence, 2022
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…
Descriptors: Intelligence, Intelligence Tests, Computer Assisted Testing, Test Items
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Krzic, Maja; Brown, Sandra – Natural Sciences Education, 2022
The transition of our large ([approximately]300 student) introductory soil science course to the online setting created several challenges, including engaging first- and second-year students, providing meaningful hands-on learning activities, and setting up online exams. The objective of this paper is to describe the development and use of…
Descriptors: Introductory Courses, Social Sciences, Online Courses, Educational Change
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Wise, Steven L.; Kuhfeld, Megan R.; Cronin, John – Educational Assessment, 2022
The arrival of the COVID-19 pandemic had a profound effect on K-12 education. Most schools transitioned to remote instruction, and some used remote testing to assess student learning. Remote testing, however, is less controlled than in-school testing, leading to concerns regarding test-taking engagement. This study compared the disengagement of…
Descriptors: Computer Assisted Testing, COVID-19, Pandemics, Learner Engagement
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Khodamoradi, Abolfazl; Maghsoudi, Mojtaba; Saidi, Mavadat – Practical Assessment, Research & Evaluation, 2022
This study aimed to explore the washback effects of implementing online formative assessment (OFA) in Iranian Teacher Education Universities. To this end, a sample of 227 prospective teachers majoring in Teaching English as a Foreign Language and 21 teacher educators were randomly selected. In an explanatory sequential design, their perceptions of…
Descriptors: Foreign Countries, Computer Assisted Testing, Formative Evaluation, Preservice Teachers
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Çakiroglu, Ünal; Saylan, Esin; Çevik, Isak; Özkan, Adem – International Review of Research in Open and Distributed Learning, 2022
This quasi-experimental study explored how different online exam types differentiate learners' academic achievement and perceived learning. The participants comprised 95 undergraduate students enrolled in an English course at a Turkish university in three groups, each taking a different type of quiz: with multiple-choice, open-ended, and mixed…
Descriptors: Test Format, Computer Assisted Testing, Electronic Learning, English (Second Language)
He, Wei – NWEA, 2022
To ensure that student academic growth in a subject area is accurately captured, it is imperative that the underlying scale remains stable over time. As item parameter stability constitutes one of the factors that affects scale stability, NWEA® periodically conducts studies to check for the stability of the item parameter estimates for MAP®…
Descriptors: Achievement Tests, Test Items, Test Reliability, Academic Achievement
Joe Olsen; Amy Adair; Janice Gobert; Michael Sao Pedro; Mariel O'Brien – Grantee Submission, 2022
Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…
Descriptors: Mathematical Models, Intelligent Tutoring Systems, Performance Based Assessment, Data Collection
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Vittoria Bonanzinga; Francesca Casasso; Cecilia Fissore; Valeria Fradiante; Marina Marchisio – International Association for Development of the Information Society, 2022
From 2020/2021 the evaluation of students' learning in primary school is no longer expressed through a decimal-based score, but through a descriptive assessment, in a more formative perspective of evaluation. In addition, the widespread use of technological tools in school has changed the teaching/learning process and it has highlighted the need…
Descriptors: Teacher Education Programs, Elementary School Teachers, Formative Evaluation, Teaching Methods
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Kocdar, Serpil; Karadeniz, Abdulkadir; Peytcheva-Forsyth, Roumiana; Stoeva, Vessela – Open Praxis, 2018
The aim of this study was to identify students' perceptions on cheating and plagiarism and trust in e-assessment according to their assessment experience and mode of learning as well as exploring their concerns in e-assessment. Participants were 952 students from two public universities in Turkey and Bulgaria. The study was designed as a…
Descriptors: Cheating, Plagiarism, Foreign Countries, College Students
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Doneva, Rositsa; Gaftandzhieva, Siliva; Totkov, George – Turkish Online Journal of Distance Education, 2018
This paper presents a study on known approaches for quality assurance of educational test and test items. On its basis a comprehensive approach to the quality assurance of online educational testing is proposed to address the needs of all stakeholders (authors of online tests, teachers, students, experts, quality managers, etc.). According to the…
Descriptors: Educational Testing, Automation, Quality Assurance, Computer Assisted Testing
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Kuch, Fred; Roberts, Robin M. – Assessment & Evaluation in Higher Education, 2019
This study sought to determine whether an evaluator conducting electronic course evaluations in person in a classroom increased response rates. At a large public university in the United States, course evaluations were being conducted electronically, attaining a response rate of <50% over several semesters. At the end of the Spring 2015 at this…
Descriptors: Student Evaluation, Computer Assisted Testing, Telecommunications, Handheld Devices
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Lin, Jian-Wei; Lai, Yung-Cheng – Australasian Journal of Educational Technology, 2019
Computer-based assessment (CBA) is an important area of e-learning research. Most studies of CBA technology add new constructs to existing user acceptance models and rarely consider the moderating effects. However, the self-regulation (SR) levels (i.e., high or low) in an e-learning environment substantially affect individual learning behaviour…
Descriptors: Computer Assisted Testing, Adoption (Ideas), Electronic Learning, Self Management
New York State Education Department, 2019
The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the development of the 2019 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2019…
Descriptors: Grade 6, Grade 7, Grade 8, English
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