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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
Schnieders, Joyce Z.; Moore, Joann L.; Herring, Jacob; Monroe, Mira – ACT, Inc., 2023
In recent years, schools and large-scale assessment developers across the United States have been providing English learners with language supports when they take tests to reduce construct-irrelevant variance, or errors in test scores due to factors that are extraneous to the construct being assessed (Thorndike et al., 1991). Some of these…
Descriptors: English Language Learners, Language Tests, Student Experience, Student Attitudes
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
Nieto, David; Nguyen, Annie – Multicultural Learning and Teaching, 2023
Both educators and students in the United States feel the continuous pressure to improve achievement scores as a form of validation for their work and success. However, emerging bilingual (EBs) learners encounter barriers within assessments that break the assumptions of validity, reliability, and fairness and prevent them from demonstrating their…
Descriptors: Bilingual Students, Native Language, Student Evaluation, English Language Learners
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
Aksoy, Erdem – International Journal of Contemporary Educational Research, 2023
This study analyzes the alignment between the educational policy of Turkey and high-stakes tests administered for students transitioning from secondary to high school. Research questions focus on the opinions of secondary school teachers about the alignment between transit exam questions and curricula, course books and materials, and their views…
Descriptors: Foreign Countries, Educational Policy, High Stakes Tests, Alignment (Education)
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
Nguyen, Nga Thanh; Clark, Colin; Juriansz, John – Journal of University Teaching and Learning Practice, 2023
Resit exams allow students who have failed a subject a second chance to demonstrate achievement of the academic standards required for program progression. Contrary to previous studies in this field, this paper reports on the value of resit exams with a comprehensive discussion of the lessons learned from the implementation of resits in different…
Descriptors: Tests, Testing, Repetition, Academic Failure
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
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
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
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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