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Lu, Chunyan; Minneyfield, Aarren; Jia, Min; Lu, Jun; Zheng, Yan; Huo, Jingying; Wang, Ningyi; Wu, Yihua; Brantley, Jennifer – Journal of Workplace Learning, 2023
Purpose: The purpose of this paper is to explore more agile and effective learning processes that help identify potentially high-performing staff during workplace training. Design/methodology/approach: To test the efficacy of the learning-oriented assessment (LOA) process in workplace training, a pharmaceutical sales organization implemented an…
Descriptors: Workplace Learning, Job Training, Learning Processes, Artificial Intelligence
Marrone, Rebecca; Cropley, David H.; Wang, Z. – Creativity Research Journal, 2023
Creativity is now accepted as a core 21st-century competency and is increasingly an explicit part of school curricula around the world. Therefore, the ability to assess creativity for both formative and summative purposes is vital. However, the "fitness-for-purpose" of creativity tests has recently come under scrutiny. Current creativity…
Descriptors: Automation, Evaluation Methods, Creative Thinking, Mathematics Education
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
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
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
Eric Page; Gretchen Meyers; Eve Krahe Billings – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Recent advancements in generative artificial intelligence (AI) have disrupted assessment practices within the higher education sector. The efficacy of existing assessment approaches is under reexamination with the introduction of generative AI's ability to generate human-like text. Simultaneously, there are calls to integrate generative AI into…
Descriptors: Theory Practice Relationship, Artificial Intelligence, Technology Integration, Computer Software
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)
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
Zingle, Gabriel; Radhakrishnan, Balaji; Xiao, Yunkai; Gehringer, Edward; Xiao, Zhongcan; Pramudianto, Ferry; Khurana, Gauraang; Arnav, Ayush – International Educational Data Mining Society, 2019
Peer assessment has proven to be a useful strategy for increasing the timeliness and quantity of formative feedback, as well as for promoting metacognitive thinking among students. Previous research has determined that reviews that contain suggestions can motivate students to revise and improve their work. This paper describes a method for…
Descriptors: Peer Evaluation, Formative Evaluation, Evaluation Methods, Classification
Steffen Steinert; Lars Krupp; Karina E. Avila; Anke S. Janssen; Verena Ruf; David Dzsotjan; Christian De Schryver; Jakob Karolus; Stefan Ruzika; Karen Joisten; Paul Lukowicz; Jochen Kuhn; Norbert Wehn; Stefan Küchemann – Education and Information Technologies, 2025
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant attention. However, the scarcity of open-source online tools that are capable of providing personalized feedback has restricted the widespread implementation of…
Descriptors: Higher Education, Open Educational Resources, STEM Education, Feedback (Response)
Christopher J. Harris; Eric Wiebe; Shuchi Grover; James W. Pellegrino – Community for Advancing Discovery Research in Education (CADRE), 2023
Major developments over the past two decades in STEM education and classroom assessment provide a compelling argument for shifting the focus of assessment toward the classroom where its most powerful benefits can be realized. The increased emphasis on diversity, equity, and inclusion in education puts increased scrutiny on assessment practices and…
Descriptors: Student Evaluation, STEM Education, Educational Trends, Equal Education
L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives

Murray, Tom – Journal of Artificial Intelligence in Education, 1993
Discusses evaluation methods applicable to exploratory research areas, provides an overview of qualitative and formative methods for exploratory research on intelligent tutoring systems (ITS) and describes an exploratory study in ITS knowledge acquisition which involved working with three educators to build an ITS for high school physics.…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Evaluation Methods, Formative Evaluation
O'Neil, Harold F., Jr.; Baker, Eva L. – 1987
Among opportunities to advance the state of the art of intelligent computer-assisted instruction (ICAI) are the evaluation of ICAI systems and the use of the underlying technology in ICAI systems to develop tests. Each issue is addressed via its theoretical context, key constructs, appropriate references to the literature, methodological aspects,…
Descriptors: Academic Achievement, Artificial Intelligence, Computer Assisted Instruction, Computer Software
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