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Marli Crabtree; Kenneth L. Thompson; Ellen M. Robertson – HAPS Educator, 2024
Research has suggested that changing one's answer on multiple-choice examinations is more likely to lead to positive academic outcomes. This study aimed to further understand the relationship between changing answer selections and item attributes, student performance, and time within a population of 158 first-year medical students enrolled in a…
Descriptors: Anatomy, Science Tests, Medical Students, Medical Education
Wei Wang – Education and Information Technologies, 2024
As information and communication technologies develop in China, language tests are shifting from conventional paper-and-pencil testing to computerized testing. The aim of this study is to investigate Chinese test-takers' adaptability to computerized language exams, including their performance across testing modes and their perception of the…
Descriptors: Computer Assisted Testing, Language Tests, Second Language Learning, Second Language Instruction
Gal Kaldes; Elizabeth L. Tighe; Qiwei He – Grantee Submission, 2024
Introduction: Despite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessments. Methods: This study analyzed process data, specifically time allocation data, from the Program…
Descriptors: Time Management, Adults, Literacy, Computer Assisted Testing
Cleon M. McLean – ProQuest LLC, 2024
This non-consecutive, three-year qualitative study explored the testing experiences of high school juniors who used Chromebooks to take their Smarter Balanced Standardized Assessments (SBAC) in English Language Arts and Mathematics. The study began in 2015, the first year in which SBAC was administered to students across California and other…
Descriptors: Student Attitudes, Computer Assisted Testing, Standardized Tests, Student Evaluation
Reid Proctor; Renee Hayslett – Journal of Teaching and Learning with Technology, 2024
Conventional team-based learning (TBL) uses a paper-based system to deliver a team-quiz component of the instructional method. We observed the use of this paper-based system in various settings and identified it could be challenging in a large classroom. Challenges include distributing paper answer cards, time to grade them, and additional…
Descriptors: Open Source Technology, Computer Oriented Programs, Group Instruction, Teamwork
Omer Ari; Kara Hageman; Andrea Lofgren – Research & Practice in Assessment, 2024
Quizzes using test-enhanced learning features of spaced, varied, and interleaved retrieval practice have been shown to support consolidation of knowledge gains in students. In this pilot study, we examined the test-enhanced learning potential of a novel quizzing method designed to Spiral Assessment to Reinforce Knowledge (SPARK; Hageman, 2020)…
Descriptors: Online Courses, Computer Assisted Testing, Taxonomy, Learning Processes
Colin Madland; Valerie Irvine; Christopher DeLuca; Okan Bulut – OTESSA Conference Proceedings, 2024
In this paper, we review the literature on technology in assessment in higher education and compare how the literature aligns with the assessment in a digital world framework (Bearman et al., 2022). We found themes in the literature that were not present in the framework (e.g., academic integrity and faculty workload) and constructs in the…
Descriptors: Literature Reviews, Higher Education, Theory Practice Relationship, Technology Integration
Zur, Amir; Applebaum, Isaac; Nardo, Jocelyn Elizabeth; DeWeese, Dory; Sundrani, Sameer; Salehi, Shima – International Educational Data Mining Society, 2023
Detailed learning objectives foster an effective and equitable learning environment by clarifying what instructors expect students to learn, rather than requiring students to use prior knowledge to infer these expectations. When questions are labeled with relevant learning goals, students understand which skills are tested by those questions.…
Descriptors: Equal Education, Prior Learning, Educational Objectives, Chemistry
González, Carlos; Ponce, Daniel; Fernández, Violeta – Educational Technology Research and Development, 2023
As a result of the Great Online Transition (GOT) that occurred during COVID-19, it is increasingly necessary to understand the digital competencies that are required for online and blended learning in the postpandemic era. Postquarantine, higher education institutions must return to on-campus face-to-face learning, a situation which raises…
Descriptors: COVID-19, Pandemics, Technological Literacy, Educational Technology
Goldenberg, Judy; Niv, Doron – Educational Research for Policy and Practice, 2023
Although teacher's personality is an essential component of successful classroom learning, most teacher education programs accept students solely on the basis of scholastic ability scores such as school grades, national test scores (SAT, GRE) or undergraduate college transcripts. To ensure suitability to teaching, a personality-evaluation system…
Descriptors: Teacher Education Programs, Preservice Teachers, COVID-19, Pandemics
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
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
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
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
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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