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Ozsoy, Seyma Nur; Kilmen, Sevilay – International Journal of Assessment Tools in Education, 2023
In this study, Kernel test equating methods were compared under NEAT and NEC designs. In NEAT design, Kernel post-stratification and chain equating methods taking into account optimal and large bandwidths were compared. In the NEC design, gender and/or computer/tablet use was considered as a covariate, and Kernel test equating methods were…
Descriptors: Equated Scores, Testing, Test Items, Statistical Analysis
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Johri, Aditya; Hingle, Ashish – Journal of Engineering Education, 2023
Background: COVID-19 has led to an unprecedented increase in the use of technology for teaching and learning in higher education institutions (HEIs), including in engineering, computing, and technology programs. Given the urgency of the situation, technologies were often implemented with a short-term rather than long-term view. Purpose: In this…
Descriptors: Student Attitudes, Technology Uses in Education, Educational Technology, Video Technology
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C. H., Dhawaleswar Rao; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2023
Multiple-choice question (MCQ) plays a significant role in educational assessment. Automatic MCQ generation has been an active research area for years, and many systems have been developed for MCQ generation. Still, we could not find any system that generates accurate MCQs from school-level textbook contents that are useful in real examinations.…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Automation, Test Items
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Li, Xu; Ouyang, Fan; Liu, Jianwen; Wei, Chengkun; Chen, Wenzhi – Journal of Educational Computing Research, 2023
The computer-supported writing assessment (CSWA) has been widely used to reduce instructor workload and provide real-time feedback. Interpretability of CSWA draws extensive attention because it can benefit the validity, transparency, and knowledge-aware feedback of academic writing assessments. This study proposes a novel assessment tool,…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Natural Language Processing
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Thampy, Harish; Collins, Sarah; Baishnab, Elora; Grundy, Jess; Wilson, Kurt; Cappelli, Timothy – Journal of Computing in Higher Education, 2023
As a result of the COVID-19 pandemic, medical education institutions were suddenly and unexpectedly faced with making significant changes in delivering their clinical assessments to comply with social distancing requirements and limited access to clinical education centres. Seeking a potential solution to these new circumstances, we designed,…
Descriptors: Medical Education, Decision Making, Electronic Learning, Technology Uses in Education
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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
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Nagy, Gabriel; Ulitzsch, Esther; Lindner, Marlit Annalena – Journal of Computer Assisted Learning, 2023
Background: Item response times in computerized assessments are frequently used to identify rapid guessing behaviour as a manifestation of response disengagement. However, non-rapid responses (i.e., with longer response times) are not necessarily engaged, which means that response-time-based procedures could overlook disengaged responses.…
Descriptors: Guessing (Tests), Academic Persistence, Learner Engagement, Computer Assisted Testing
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Yildirim, Nuray; Tekel, Esra – International Journal of Psychology and Educational Studies, 2023
The aim of this research is to examine the pre-service teachers' opinions on online assessment during the COVID-19 process. In the study, which was designed with a phenomenological design, data were collected from 138 teacher candidates with a structured interview form consisting of open-ended questions created by the researchers and analyzed by…
Descriptors: Computer Assisted Testing, Preservice Teachers, COVID-19, Pandemics
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Kim, Hyojoon; Song, Jinwoong – Research in Science Education, 2023
Online learning overcomes space and time constraints; however, it presents challenges in teacher-learner interaction. This study explores the potential of feedback in online formative assessment (OFA) to enhance such interactions. This study identified different types of feedbacks and analyzed the characteristics of interactions between teachers,…
Descriptors: Teacher Student Relationship, Interaction, Computer Assisted Testing, Formative Evaluation
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Pingping Zhao; Chun-Yen Chang; Yueyang Shao; Zhi Liu; Hao Zhou; Jian Liu – Journal of Baltic Science Education, 2023
Students' problem-solving strategies and the differences among strategy groups were explored by analyzing the process data collected during student interactions with computer-based science items. Data were gathered from 1516 eleventh-grade students from 4 schools in China. Analyses of the sequences of students' response actions revealed that the…
Descriptors: Foreign Countries, Problem Solving, Learning Strategies, Science Instruction
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Said Hadjerrouit; Celestine Ifeanyi Nnagbo – International Association for Development of the Information Society, 2023
The purpose of this paper is to investigate the affordances of the e-assessment system Numbas from an Activity Theory perspective. The study follows a qualitative research design combined with semi-structured interviews with six students and two teachers. The findings reveal that the students were able to perceive and actualise several affordances…
Descriptors: Student Evaluation, Computer Assisted Testing, Social Theories, Feedback (Response)
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Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Mundy, Matthew; Bryant, Mike; Ashford, Cliff; Ryan, Kris – Assessment & Evaluation in Higher Education, 2023
Online examinations are a common experience in higher education. Their security is a key concern for education communities, and has resulted in a variety of cheating countermeasures. There is broad consensus in the literature that there is no one measure, including proctoring, which eradicates cheating behaviours. As a result, this study is…
Descriptors: Computer Assisted Testing, Cheating, College Students, Student Behavior
Charalampos-S Charitsis – ProQuest LLC, 2023
The employment rate of software developers has risen significantly over the last 30 years. As a result, more students are considering computer science as a potential career path. Over the last 15 years, introductory programming course (CS1) enrollment has been increasing at a much faster rate than the increase in the number of CS faculty, with no…
Descriptors: Computer Science Education, Programming, Natural Language Processing, Computer Software
Karmel Davis – ProQuest LLC, 2023
This applied dissertation was designed to provide access to current information for administrators, teachers, and staff in an elementary school that is relevant to technology and assessments. The purposes of this study were: (1) to examine how the decomposed determinant factors of the DTPB influence the teachers' intention to adopt…
Descriptors: Elementary School Teachers, Student Evaluation, Technology Uses in Education, Outcomes of Education
Kenneth W. O'Connor – ProQuest LLC, 2023
Higher education is examining artificial intelligence (AI) as a key to increasing productivity and efficiency as colleges race to remain relevant and competitive in a rapidly evolving industry. With the increase of students taking online classes, professors are looking for solutions to help maintain integrity with their testing remotely. AI has…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Electronic Learning
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