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Zhai, Xiaoming; Haudek, Kevin C.; Shi, Lehong; Nehm, Ross H.; Urban-Lurain, Mark – Journal of Research in Science Teaching, 2020
This study develops a framework to conceptualize the use and evolution of machine learning (ML) in science assessment. We systematically reviewed 47 studies that applied ML in science assessment and classified them into five categories: (a) constructed response, (b) essay, (c) simulation, (d) educational game, and (e) inter-discipline. We compared…
Descriptors: Computer Assisted Testing, Science Tests, Essays, Simulation
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Soutschek, Alexander; Tobler, Philippe N. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Restricting one's access to temptations (precommitment) facilitates the achievement of long-term goals. The sophisticated impulsiveness model of precommitment posits that impulsive agents who are aware that they are impulsive should show the strongest preference for precommitment. Empirically however, two central predictions of this theoretical…
Descriptors: Self Control, Goal Orientation, Metacognition, Decision Making
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Jo, Il-Hyun; Kim, Jeonghyun – Asia-Pacific Education Researcher, 2020
Psychophysiological responses have been studied as objective indicators for measuring a learner's cognitive load. Previous studies have correlated pupil dilation or fixation length with increased cognitive load. Our aims were to confirm whether these findings could be applied in a general learning context and to verify the additivity hypothesis of…
Descriptors: Cognitive Processes, Difficulty Level, Problem Solving, Psychophysiology
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Krach, Shelley Kathleen; McCreery, Michael P.; Dennis, Lindsay; Guerard, Jessika; Harris, Erica L. – Psychology in the Schools, 2020
Pearson now uses a technology-based testing platform, Q-Interactive, to administer tests previously available in paper versions. The same norms are used for both versions; Pearson's in-house equivalency studies indicated that both versions are equated. The goal of the current study is to independently evaluate equivalency findings. For the current…
Descriptors: Preschool Children, Computer Assisted Testing, Test Items, Scores
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Hill, Laura G. – International Journal of Behavioral Development, 2020
Retrospective pretests ask respondents to report after an intervention on their aptitudes, knowledge, or beliefs before the intervention. A primary reason to administer a retrospective pretest is that in some situations, program participants may over the course of an intervention revise or recalibrate their prior understanding of program content,…
Descriptors: Pretesting, Response Style (Tests), Bias, Testing Problems
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Castellano, Katherine E.; McCaffrey, Daniel F. – Journal of Educational Measurement, 2020
Testing programs are often interested in using a student growth measure. This article presents analytic derivations of the accuracy of common student growth measures on both the raw scale of the test and the percentile rank scale in terms of the proportional reduction in mean squared error and the squared correlation between the estimator and…
Descriptors: Student Evaluation, Accuracy, Testing, Student Development
Schultz, Nicole R. – ProQuest LLC, 2020
Reducing risk associated with college student drinking is a major public health concern. The free-pour assessment has the potential to inform interventions aimed at reducing risks associated with college student drinking. Yet, few studies have assessed conditions that influence pouring abilities, and no identified studies have assessed pouring…
Descriptors: Accuracy, Alcohol Abuse, Drinking, Health Behavior
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Chaka Chaka; Thembeka Shange – Turkish Online Journal of Distance Education, 2024
This study reports on the experiences students registered for a first-year, undergraduate English Studies module and English Studies lecturers had with the Invigilator app during an online examination in the first semester of 2023. Current research indicates that e-proctoring induces anxiety and uncertainty in students when they write online…
Descriptors: Computer Oriented Programs, Computer Assisted Testing, Supervision, College Freshmen
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Hossein Navidinia; Adrian Naznean; Maha Sourani; Nargess Hekmati – Asia-Pacific Education Researcher, 2024
Online teaching has gained more momentum since the outbreak of the COVID-19 pandemic. While this mode offers many benefits, one major concern is maintaining academic integrity, as online instruction can provide more opportunities for cheating. This study aimed to explore students' attitudes toward cheating in online assessments (OAs) and any…
Descriptors: Ethics, Cheating, Computer Assisted Testing, COVID-19
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Taghreed Abdulaziz Almuqayteeb; Wessam Mohamed – Journal of Education and e-Learning Research, 2024
E-learning has taken the lead over face-to-face instruction in higher education as a response to the COVID-19 pandemic. This shift forced faculty members to adapt to new roles and responsibilities to design and apply online instruction and assessments that require specific skills. This research aims to examine faculty experiences with online…
Descriptors: Foreign Countries, College Faculty, Teaching Experience, COVID-19
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Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools
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Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
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Lê Th? Thu Trang; Marlizayati Johari; Hardimah Said – Education and Information Technologies, 2024
Online assessment is not new to teachers, students and educators worldwide as internet and personal computers have dominated the globe in late 20th and early 21st. centuries. Nonetheless, it was during COVID-19 pandemic that accelerated the development of online assessment as an alternative method to the traditional assessment. This study aims at…
Descriptors: Foreign Countries, Computer Assisted Testing, Language Tests, Teaching Methods
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Katrin Klingbeil; Fabian Rösken; Bärbel Barzel; Florian Schacht; Kaye Stacey; Vicki Steinle; Daniel Thurm – ZDM: Mathematics Education, 2024
Assessing students' (mis)conceptions is a challenging task for teachers as well as for researchers. While individual assessment, for example through interviews, can provide deep insights into students' thinking, this is very time-consuming and therefore not feasible for whole classes or even larger settings. For those settings, automatically…
Descriptors: Multiple Choice Tests, Formative Evaluation, Mathematics Tests, Misconceptions
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Kokou A. Atitsogbe; Jean-Luc Bernaud – International Journal for Educational and Vocational Guidance, 2024
This manuscript aimed to develop an instrument assessing vocational values among students (VVS-S). The scale was developed in French using three different samples of Togolese participants for item development (N = 140), exploratory (N = 308) and confirmatory analyses (N = 300). It consists of 17 items divided into the five subscales of Power,…
Descriptors: Vocational Interests, Values, Measures (Individuals), Test Construction
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