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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
Alexandra Jackson; Cheryl Bodnar; Elise Barrella; Juan Cruz; Krista Kecskemety – Journal of STEM Education: Innovations and Research, 2025
Recent curricular interventions in engineering education have focused on encouraging students to develop an entrepreneurial mindset (EM) to equip them with the skills needed to generate innovative ideas and address complex global problems upon entering the workforce. Methods to evaluate these interventions have been inconsistent due to the lack of…
Descriptors: Engineering Education, Entrepreneurship, Concept Mapping, Student Evaluation
Shulan Xia; Peida Zhan; Kennedy Kam Ho Chan; Lijun Wang – Journal of Research in Science Teaching, 2024
Concept mapping is widely used as a tool for assessing students' understanding of science. To fully realize the diagnostic potential of concept mapping, a scoring method that not only provides an objective and accurate assessment of students' drawn concept maps but also provides a detailed understanding of students' proficiency and deficiencies in…
Descriptors: Concept Mapping, Student Evaluation, Scoring, Science Education
Jeff Hanson; Blair Taylor; Siddharth Kaza – Information Systems Education Journal, 2025
Cybersecurity content is typically taught and assessed using Bloom's Taxonomy to ensure that students acquire foundational and higher-order knowledge. In this study we show that when students are given the objectives written in the form of a competency-based statements, students have a more clearly defined outcome and are be able to exhibit their…
Descriptors: College Students, Universities, Competency Based Education, Educational Objectives
Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
Daniela González-Fernández; Carolina Iturra – Journal of Research in Special Educational Needs, 2024
This study examined the collaborative practices between teachers and speech and language therapists (SLTs) within an inclusive setting, interviewing 17 professionals' couples. Three distinct phases of collaboration were identified: planning (e.g. reviewing student performance), co-teaching in the classroom, and evaluation (reflecting upon joint…
Descriptors: Inclusion, Cooperation, Speech Therapy, Speech Language Pathology
Christine M. White; Christopher Schatschneider – Contemporary School Psychology, 2024
Universal screening to predict students' risk for reading problems is a foundational component of the Multi-Tiered Systems of Support framework and is required by law in many US states. School or district administrators are tasked with selecting screening assessments that are both technically adequate and feasible given the resources of their…
Descriptors: Screening Tests, Reading Tests, Reading Difficulties, Classification
Junfeng Man; Rongke Zeng; Xiangyang He; Hua Jiang – Knowledge Management & E-Learning, 2024
At present, the widespread use of online education platforms has attracted the attention of more and more people. The application of AI technology in online education platform makes multidimensional evaluation of students' ability become the trend of intelligent education in the future. Currently, most existing studies are based on traditional…
Descriptors: Cognitive Ability, Student Evaluation, Algorithms, Learning Processes
Lin Lin; Guan Ying Li; Xuejun Guo – Language Teaching Research, 2024
Teachers' conceptions of assessment are a significant indicator of teacher assessment literacy. This study contextualized pre-service teachers' conceptions of assessment in Chinese second language education. An exploratory factor analysis generated eight first-order factors and the following confirmatory factor analysis found a hierarchical model,…
Descriptors: Preservice Teachers, Language Teachers, Teacher Education Programs, Chinese
Juliet L. Gevargis-Mizimakoski – ProQuest LLC, 2024
Multi-Tiered System of Supports (MTSS) promotes an equity-based concept of inclusive education as opposed to a place-based concept; thus, the focus shifts from who is included to what is included because the who is all students (McCart & Miller, 2020; Sailor et al., 2018). In this qualitative study, I sought to understand high school teachers'…
Descriptors: High School Teachers, Multi Tiered Systems of Support, Teacher Attitudes, Special Education
Ilana M. Umansky; Nami Shin; Karen D. Thompson; Janette Avelar; Jaclyn Bovee – National Research and Development Center to Improve Education for Secondary English Learners at WestEd, 2024
This policy brief explores the extent to which students classified as English learners (ELs) are excluded from core content in high school. Using statewide data from Oregon (2013/14-2018/19) and Michigan (2011/12-2014/15), the percentages of current, former, and never ELs enrolled in any class in each core content area were tabulated and gaps in…
Descriptors: English Learners, Access to Education, Course Selection (Students), Track System (Education)