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Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Journal of Educational Measurement, 2024
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Grantee Submission, 2023
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
Paul Tschisgale; Marcus Kubsch; Peter Wulff; Stefan Petersen; Knut Neumann – Physical Review Physics Education Research, 2025
Problem solving is considered an essential ability for becoming an expert in physics, and individualized feedback on the structure of problem-solving processes is a key component to support students in developing this ability. Problem-solving processes consist of multiple elements whose order forms the sequential structure of these processes.…
Descriptors: Problem Solving, Physics, Science Instruction, Teaching Methods
Brittney Heibel; Ryan Anderson; Marshall Swafford; Bradley Borges – Journal of Agricultural Education, 2024
Virtual reality (VR) technology is an advanced modern resource commonly integrated into various forms of training. VR training simulations are customizable in that quality-grading parameter settings, physical environment, and user capacity can be modified to personal or professional preference. In this study, VR technology training practices are…
Descriptors: Technology Integration, Computer Simulation, Sequential Approach, Training Methods
Hillman, Garnet; Stalets, Mandy – Solution Tree, 2021
When designed in ways that inspire and motivate, assessment is a gift to our students. With this resource as your guide, you will embrace a fresh mindset where assessment becomes a process that propels meaningful learning for all. Authors Garnet Hillman and Mandy Stalets dive deep into how you can work individually or collaboratively to…
Descriptors: Student Evaluation, Evaluation Methods, Formative Evaluation, Summative Evaluation
Jin, Hui; van Rijn, Peter; Moore, John C.; Bauer, Malcolm I.; Pressler, Yamina; Yestness, Nissa – International Journal of Science Education, 2019
This article provides a validation framework for research on the development and use of science Learning Progressions (LPs). The framework describes how evidence from various sources can be used to establish an interpretive argument and a validity argument at five stages of LP research--development, scoring, generalisation, extrapolation, and use.…
Descriptors: Sequential Approach, Educational Research, Science Education, Validity
Jin, Hui; van Rijn, Peter; Moore, John C.; Bauer, Malcolm I.; Pressler, Yamina; Yestness, Nissa – Grantee Submission, 2019
This article provides a validation framework for research on the development and use of science Learning Progressions (LPs). The framework describes how evidence from various sources can be used to establish an interpretive argument and a validity argument at five stages of LP research--development, scoring, generalisation, extrapolation, and use.…
Descriptors: Sequential Approach, Educational Research, Science Education, Validity
Nelson, Bryan T. – ProQuest LLC, 2019
Formative assessment has long been used to gauge students' understanding of course material prior to taking an exam. With the advent of more advanced technology, only recently have instructors been able to combine formative assessment with a student response system to allow students to respond to questions in real time during class. Previous…
Descriptors: Formative Evaluation, Student Evaluation, Evaluation Methods, Statistics
Graf, Edith Aurora; Peters, Stephanie; Fife, James H.; van Rijn, Peter W.; Arieli-Attali, Meirav; Marquez, Elizabeth – ETS Research Report Series, 2019
Learning progressions (LPs) describe the development of domain-specific knowledge, skills, and understanding. Each level of an LP characterizes a phase of student thinking en route to a target performance. The rationale behind LP development is to provide road maps that can be used to guide student thinking from one level to the next. The validity…
Descriptors: Mathematical Concepts, Learning Processes, Sequential Approach, Student Development
Willett, Terrence – RP Group, 2017
In order to improve the accuracy of students' placement into California Community College English as Second Language (ESL) courses and move them more efficiently toward completion, the statewide Common Assessment Initiative (CAI) is developing placement processes for student assessment in credit ESL that contain a multiple measures component. As…
Descriptors: Community Colleges, College Students, Student Placement, English Language Learners
Davis, Doris Bitler – Teaching of Psychology, 2017
Providing two or more versions of multiple-choice exams has long been a popular strategy for reducing the opportunity for students to engage in academic dishonesty. While the results of studies comparing exam scores under different question-order conditions have been inconclusive, the potential importance of contextual cues to aid student recall…
Descriptors: Test Construction, Multiple Choice Tests, Sequential Approach, Cues
Xiong, Xiaolu; Zhao, Siyuan; Van Inwegen, Eric G.; Beck, Joseph E. – International Educational Data Mining Society, 2016
Over the last couple of decades, there have been a large variety of approaches towards modeling student knowledge within intelligent tutoring systems. With the booming development of deep learning and large-scale artificial neural networks, there have been empirical successes in a number of machine learning and data mining applications, including…
Descriptors: Intelligent Tutoring Systems, Computer Software, Bayesian Statistics, Knowledge Level
Lemons, Mary A. – Journal of Learning in Higher Education, 2014
Assessment of learning has become very important for government, universities and accrediting agencies. In this article, two variables are examined, leadership and teamwork, in the context of a survey used by one mid-south university for assessment purposes. This survey demonstrates the problems that arise when the sequential steps of the research…
Descriptors: Research Design, Student Surveys, Student Evaluation, Outcome Measures
Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2019
Drawing on Vygotskian sociocultural theory of mind and social constructivism, and adopting a sequential exploratory mixed-methods approach, this study explored the impact of online dynamic assessment (DA) on EFL learners' academic writing skills through one-on-one individual and online synchronous DA sessions over Google Docs. It also investigated…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Sociocultural Patterns
Association for Career and Technical Education (ACTE), 2020
As the country continues to grapple with the impacts of the COVID-19 pandemic, Career and Technical Education (CTE) stakeholders around the nation are thinking ahead to what education might look like in the future. Whether schools and postsecondary institutions will be able to open fully for the next school year using social distancing methods,…
Descriptors: Communicable Diseases, Disease Control, School Closing, Vocational Education