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Lubrick, Mark; Wellington, Bill – Journal of Learning and Teaching in Digital Age, 2022
Background: Using online low stakes MCQ quizzing as a formative learning method is common in many introductory courses; allowing for rapid student feedback. Purposes: A comparative study of two different approaches for administering low stakes multiple choice quizzes as tools to enhance formative learning in a large-lecture introductory marketing…
Descriptors: Formative Evaluation, Computer Assisted Testing, Multiple Choice Tests, Introductory Courses
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Taskenbayeva, Zhuldyz; Abdyrov, Aitzhan; Muratova, Gulzhan; Kaltayeva, Gulnar; ?oxegen, Aliya; Smailova, Laila – World Journal on Educational Technology: Current Issues, 2022
The purpose of this research; It is the evaluation of scientific and methodological foundations for the organization of the educational process in distance education conditions with student views. The research was based on the qualitative research method. The participant group of the research consists of 125 university students studying in various…
Descriptors: Distance Education, Student Attitudes, College Students, Program Effectiveness
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Ally, Said; Oreku, George – International Journal of Education and Development using Information and Communication Technology, 2022
The outbreak of the COVID-19 pandemic largely disrupted the continuity of educational delivery. Online learning was the prompt response by educators. However, this comes with a big question on the conduct of assessment. Running examinations traditionally is vulnerable to high security risks and administration costs. A precise mechanism to…
Descriptors: COVID-19, Pandemics, Electronic Learning, Information Systems
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Clements, Douglas H.; Banse, Holland; Sarama, Julie; Tatsuoka, Curtis; Joswick, Candace; Hudyma, Aaron; Van Dine, Douglas W.; Tatsuoka, Kikumi K. – Mathematical Thinking and Learning: An International Journal, 2022
Researchers often develop instruments using correctness scores (and a variety of theories and techniques, such as Item Response Theory) for validation and scoring. Less frequently, observations of children's strategies are incorporated into the design, development, and application of assessments. We conducted individual interviews of 833…
Descriptors: Item Response Theory, Computer Assisted Testing, Test Items, Mathematics Tests
Gema Del Moral – ProQuest LLC, 2022
English Language Learners (ELLs) are at an academic disadvantage with the rest of general education because they are linguistically challenged, especially in reading. Educators are recommended to use best practices to provide a good quality education to ELLs through the use of instructional tools. One instructional tool that is recommended to use…
Descriptors: Teaching Methods, Instructional Materials, Academic Achievement, English Language Learners
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Daffin, Lee William, Jr.; Jones, Ashley A. – Online Learning, 2018
As online education becomes a more popular and permanent option for obtaining an education after high school, it also raises questions as to the academic rigor of such classes and the academic integrity of the students taking the classes. The purpose of the current study is to explore the integrity issue and to investigate student performance on…
Descriptors: College Students, Online Courses, Psychology, Computer Assisted Testing
Florida Department of Education, 2018
All Florida schools teach the Florida Standards in English Language Arts (ELA) and Mathematics. Student performance on the Florida Standards Assessments (FSA) provides important information to parents/guardians, teachers, policy makers, and the general public regarding how well students are learning the Florida Standards. This document has been…
Descriptors: Educational Assessment, State Standards, Language Arts, Mathematics
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Beatriz Chaves-Yuste; Cristina de-la-Peña – TESOL Journal, 2025
Technology, constantly present in current society and education, needs to make use of the most effective digital resources to optimize the teaching-learning process. Despite the growing body of literature on the pedagogical effectiveness of digital resources in a second language (L2) context, limited research has been conducted when working with…
Descriptors: English for Special Purposes, Second Language Instruction, Second Language Learning, Tourism
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Yishen Song; Liming Guo; Qinhua Zheng – Education and Information Technologies, 2025
Scientific inquiry ability is closely related to the process of hands-on inquiry practice. However, its assessment is often separated from this practice due to the limitation of technical basis and labor cost. The development of multimodal data analysis provides a new opportunity to realize automated assessment based on hands-on practice.…
Descriptors: Elementary School Students, Grade 4, Hands on Science, Experiential Learning
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Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
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Hao, Jiangang; Mislevy, Robert J. – ETS Research Report Series, 2018
Virtual performance assessments (VPAs), such as game- and simulation-based assessments, provide promising ways for assessing complex and integrated skills. However, the high cost, long development cycle, and complex scoring process significantly hinder the adoption of VPAs, particularly in large-scale assessments with tight deadlines and limited…
Descriptors: Performance Based Assessment, Computer Assisted Testing, Test Construction, Evidence
Young, Jay Richards – ProQuest LLC, 2018
This study examined the potential use of keystroke dynamics to create keyprints (typing fingerprints) to authenticate individuals in online assessment situations. The implications of this study are best understood in terms of the keystroke behavioral biometric. While previous studies considered the degree to which keystroke typing patterns are…
Descriptors: Keyboarding (Data Entry), Identification, Measurement Techniques, Computer Assisted Testing
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Wang, Shiyu; Lin, Haiyan; Chang, Hua-Hua; Douglas, Jeff – Journal of Educational Measurement, 2016
Computerized adaptive testing (CAT) and multistage testing (MST) have become two of the most popular modes in large-scale computer-based sequential testing. Though most designs of CAT and MST exhibit strength and weakness in recent large-scale implementations, there is no simple answer to the question of which design is better because different…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Sequential Approach
Wang, Keyin – ProQuest LLC, 2017
The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…
Descriptors: Comparative Analysis, Computer Assisted Testing, Adaptive Testing, Test Items
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Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models
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