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Showing 1 to 15 of 28 results Save | Export
Jessica Kahlow – Online Submission, 2024
This comprehensive guide illuminates the art and science of educational assessment, blending ancient alchemical wisdom with modern AI innovations. Part one lays the foundation, exploring essential principles of assessment and evaluation and its pivotal role in shaping learning outcomes. Part two delves into diverse assessment types, from formative…
Descriptors: Educational Assessment, Student Evaluation, Educational Innovation, Artificial Intelligence
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Catherine Nickerson; Peter Davidson – Business and Professional Communication Quarterly, 2024
In this discussion, we consider how the use of scenario-based assessment (SBA) can provide students with a way of developing the digital communication skills that business communication research has found they will need for the workplace, alongside other aspects of professional competence. This is because SBA can be employed to engage learners in…
Descriptors: Vignettes, Student Evaluation, Digital Literacy, Skill Development
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Martin, Paul P.; Graulich, Nicole – Chemistry Education Research and Practice, 2023
In chemistry, reasoning about the underlying mechanisms of observed phenomena lies at the core of scientific practices. The process of uncovering, analyzing, and interpreting mechanisms for explanations and predictions requires a specific kind of reasoning: mechanistic reasoning. Several frameworks have already been developed that capture the…
Descriptors: Artificial Intelligence, Critical Thinking, Logical Thinking, Student Evaluation
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Jiseung Yoo; Jisun Park; Minsu Ha; Chelcea Mae Lagmay Darang – SAGE Open, 2024
In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…
Descriptors: Preservice Teachers, Cognitive Processes, Automation, Supervision
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Zewei Tian; Lief Esbenshade; Alex Liu; Shawon Sarkar; Zachary Zhang; Kevin He; Min Sun – Grantee Submission, 2025
The Colleague AI platform introduces a groundbreaking Rubric Generation function designed to streamline how educators create and use rubrics for instructional and assessment purposes. This feature uses artificial intelligence (AI) to produce standards-based rubrics tailored to course content for formative and summative evaluations. By automating…
Descriptors: Scoring Rubrics, Artificial Intelligence, Futures (of Society), Teaching Methods
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Daire Maria Ni Uanachain; Lila Ibrahim Aouad – Thresholds in Education, 2025
This chapter investigates the dual role of Generative AI (GenAI) in providing support and feedback to students and in reshaping formative and summative educational assessments, addressing both the burgeoning opportunities for enhancing teaching methodologies and the associated ethical challenges. There is a focus on the necessity for balanced…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Giabbanelli, Philippe J.; Tawfik, Andrew A.; Wang, Bao – Journal of Research on Technology in Education, 2023
Instructional strategies employing complex problem-solving examine how learners represent the problem space and argue for decisions. Unlike problems with few solutions (e.g., multiple choices), instructors struggle to evaluate solutions to ill-structured problems quickly and consistently across students. This prevents instructors to provide timely…
Descriptors: Problem Solving, Maps, Artificial Intelligence, Evaluation Methods
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Moriah Ariely; Tanya Nazaretsky; Giora Alexandron – Journal of Research in Science Teaching, 2024
One of the core practices of science is constructing scientific explanations. However, numerous studies have shown that constructing scientific explanations poses significant challenges to students. Proper assessment of scientific explanations is costly and time-consuming, and teachers often do not have a clear definition of the educational goals…
Descriptors: Biology, Automation, Individualized Instruction, Science Instruction
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Goran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format
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Tom Bleckmann; Gunnar Friege – Knowledge Management & E-Learning, 2023
Formative assessment is about providing and using feedback and diagnostic information. On this basis, further learning or further teaching should be adaptive and, in the best case, optimized. However, this aspect is difficult to implement in reality, as teachers work with a large number of students and the whole process of formative assessment,…
Descriptors: Concept Mapping, Formative Evaluation, Automation, Feedback (Response)
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Brandon J. Yik; David G. Schreurs; Jeffrey R. Raker – Journal of Chemical Education, 2023
Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…
Descriptors: Educational Technology, Formative Evaluation, Molecular Structure, Models
Amy Adair – ProQuest LLC, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Evaluation Methods, Scaffolding (Teaching Technique), Mathematics
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Yik, Brandon J.; Dood, Amber J.; Cruz-Ramirez de Arellano, Daniel; Fields, Kimberly B.; Raker, Jeffrey R. – Chemistry Education Research and Practice, 2021
Acid-base chemistry is a key reaction motif taught in postsecondary organic chemistry courses. More specifically, concepts from the Lewis acid-base model are broadly applicable to understanding mechanistic ideas such as electron density, nucleophilicity, and electrophilicity; thus, the Lewis model is fundamental to explaining an array of reaction…
Descriptors: Artificial Intelligence, Models, Formative Evaluation, Organic Chemistry
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Gombert, Sebastian; Di Mitri, Daniele; Karademir, Onur; Kubsch, Marcus; Kolbe, Hannah; Tautz, Simon; Grimm, Adrian; Bohm, Isabell; Neumann, Knut; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Formative assessments are needed to enable monitoring how student knowledge develops throughout a unit. Constructed response items which require learners to formulate their own free-text responses are well suited for testing their active knowledge. However, assessing such constructed responses in an automated fashion is a complex task…
Descriptors: Coding, Energy, Scientific Concepts, Formative Evaluation
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Xiaofang Liao; Xuedi Zhang; Zhifeng Wang; Heng Luo – British Journal of Educational Technology, 2024
Formative assessment is essential for improving teaching and learning, and AI and visualization techniques provide great potential for its design and delivery. Using NLP, cognitive diagnostic and visualization techniques designed to analyse and present students' monthly exam data, we developed an AI-enabled visual report tool comprising six…
Descriptors: Artificial Intelligence, Design, Program Implementation, Formative Evaluation
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