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Amy Pallant; Christopher Lore; Hee-Sun Lee; Stephanie Seevers; Trudi Lord – Journal of Geoscience Education, 2025
This paper describes how plate tectonics and rock genesis, two topics that are typically addressed separately in secondary Earth science classes, can be taught together as an integrated system. We define the TecRocks Reasoning Framework, developed to support student reasoning about rock formation situated in the context of plate tectonics. We also…
Descriptors: Secondary School Science, Secondary School Students, Geology, Plate Tectonics
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Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
Tatjana Voitova; Valdis Bernhofs; Daniel Müllensiefen – Gifted Child Quarterly, 2025
Psychosocial skills are variables related to human behavior, beliefs, and attitudes and shape social interactions, learning processes, academic achievements, and general goal-directed behavior. Psychosocial skills seem particularly important during the adolescent period when large changes in goal setting, learning attitudes, and ability…
Descriptors: Individual Development, Music, Listening Skills, Secondary School Students
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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
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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
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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
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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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