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Laura Dörrenbächer-Ulrich; Jörn R. Sparfeldt; Franziska Perels – Metacognition and Learning, 2024
Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to…
Descriptors: Metacognition, Learning Strategies, College Students, Test Validity
Jinxin Jiang; Sang Keon Yoo – International Journal of Web-Based Learning and Teaching Technologies, 2024
This article uses scientific methods and means to evaluate the value, elements, and processes of physical education, consistent with preset evaluation indicators through sample calculation, and then derives the characteristics of decision-making, the objectivity of indicators, the order, and other characteristics of the process. The authors have…
Descriptors: Physical Education, Educational Assessment, Program Evaluation, Evaluation Methods
Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Xiaohui Luo; Yueqin Hu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…
Descriptors: Structural Equation Models, Longitudinal Studies, Data Analysis, Causal Models
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
Qutaiba I. Ali – Discover Education, 2024
This paper contributes to the ongoing efforts aimed at enhancing Outcome-Based Education (OBE) assessment methodologies by addressing some critical gaps and exploring new solutions. Our work focuses on two main areas: firstly, this study proposes an improved assessment method for OBE. It refines traditional approaches by classifying course…
Descriptors: Outcome Based Education, Evaluation Methods, Student Evaluation, Artificial Intelligence
Ahmadreza Shamsi Yousefi – ProQuest LLC, 2024
This dissertation aimed to narrow the gap between learning and exercising leadership. It tried to address three main gaps in the field of leadership development assessment as its main research objectives: 1) the measurement gap which concerns the divergence between academic and industry perspectives on leadership development 2) the…
Descriptors: Evaluation Methods, Theory Practice Relationship, Leadership Training, Alignment (Education)
Michael W. Nelsen – ProQuest LLC, 2024
Population dynamics modeling using stage-based transition matrices has been used in ecology for six decades. However, the data analysis method has never been used for students in higher education. This applied doctoral project used the principles of population dynamics to assess two student populations at an institution of higher education…
Descriptors: Intervention, Time Management, School Holding Power, Graduation Rate
Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Hannah Gadd Ardrey – ProQuest LLC, 2024
The purpose of the study was to investigate secondary choral music educators' and administrators' perceptions of the use of the Mississippi Professional Growth System (PGS) as an applicable tool for evaluating secondary choral music educators. While there is limited research regarding the evaluation of choral music educators, this study aimed to…
Descriptors: Secondary School Teachers, Music Teachers, Singing, Teacher Evaluation
Lisa DaVia Rubenstein; Kathrin Maki; Brianna Quigley; Shanyn Thompson; Lisa M. Ridgley Smith – AERA Online Paper Repository, 2024
The purpose of this systematic review was to survey available measures of creativity for pk12 students for assessments characteristics and reporting of psychometric properties. Using the PRISMA framework, we identified 42 unique articles with 48 assessments meeting our inclusion criteria. Then, two coders independently coded all articles using a…
Descriptors: Literature Reviews, Meta Analysis, Elementary Secondary Education, Creativity
Jenna Sinnamon – ProQuest LLC, 2024
The purpose of this qualitative content analysis study is to investigate the themes and potential gaps in quality assurance rubrics and scorecards used to evaluate online courses in higher education. For the utility of this study, the themes and potential gaps in quality assurance rubrics and scorecards is generally defined as the recurring…
Descriptors: Online Courses, Quality Assurance, Scoring Rubrics, Higher Education
Kimberly Rogers Davis; Akeya Simeon; Emily Anne Pride Sutton – New Directions for Student Services, 2024
As institutions implement more comprehensive hazing prevention efforts, assessment is a necessary strategy for ensuring that programs and services for students are achieving their intended outcomes, especially as hazing behaviors change and evolve. Using a multi-stage student learning and development outcomes cycle, this article outlines steps to…
Descriptors: Hazing, Prevention, Intervention, Program Evaluation
Mariana Hamer; Micaela Hamer; Miguel J. Vago; M. Florencia Leal Denis – Journal of Chemical Education, 2024
In analytical chemistry, discussing different method sand techniques of analysis is essential to promote critical thinking and reasoning. Analytical courses in the chemist, pharmacist, and biochemist curricula represent the opportunity to study concepts such as experimental design, sampling, development, and optimization of protocols, data…
Descriptors: Chemistry, Science Education, Hands on Science, Thinking Skills