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Natalie Smith; Somarie Holtzhausen – Perspectives in Education, 2024
Limited studies illustrate the significance of a transformative perspective on pre-service teachers' assessment practices during their study in higher education institutions (HEIs). As such, the need to prepare pre-service teachers for the transformative realities of the workplace has been widely acknowledged as a crucial element of contemporary…
Descriptors: Preservice Teachers, Language Teachers, Preservice Teacher Education, Student Evaluation
Zhipeng Hou; Elizabeth Tipton – Research Synthesis Methods, 2024
Literature screening is the process of identifying all relevant records from a pool of candidate paper records in systematic review, meta-analysis, and other research synthesis tasks. This process is time consuming, expensive, and prone to human error. Screening prioritization methods attempt to help reviewers identify most relevant records while…
Descriptors: Meta Analysis, Research Reports, Identification, 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
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
Region 15 Comprehensive Center, 2024
This brief emphasizes the importance of English learner reclassification in California, where over 19 percent of students are classified as English learners. It outlines the high-stakes nature of this process, particularly under the Every Student Succeeds Act (ESSA), which mandates uniform criteria for exiting English learner programs. The four…
Descriptors: English Learners, Classification, Language Proficiency, Teacher Attitudes
David L. Sibley – ProQuest LLC, 2024
This study examined the perspectives of accreditation liaison officers, institutional accreditor peer-reviewers, and chief library officer perspectives on the role that the academic librarian, academic library, and information literacy should play in institutional accreditation. The study was framed using a conceptual model based on New…
Descriptors: Accreditation (Institutions), Institutional Evaluation, Librarians, Academic Libraries
Yuwei Xia; Ying Luo; Xiaofei Lu – Language Teaching Research Quarterly, 2024
Grounded in Vygotsky's Sociocultural Theory, Dynamic Assessment (DA) can provide fine-tuned information regarding learners' development and opportunities to promote further development. Vocabulary knowledge, because of its complex nature, requires a more sensitive assessment, especially for second language (L2) learners. This systematic literature…
Descriptors: Evaluation Methods, Vocabulary Development, Second Language Learning, Second Language Instruction
M. E. De Vos; L. K. J. Baartman; C. P. M. Van der Vleuten; E. De Bruijn – Journal of Vocational Education and Training, 2024
The assessment of workplace learning by educators at the workplace is a complex and inherently social process, as the workplace is a participatory learning environment. We therefore propose seeing assessment as a process of judgment embedded in a community of practice and to this purpose use the philosophy of inferentialism to unravel the judgment…
Descriptors: Vocational Education, Workplace Learning, Communities of Practice, Foreign Countries
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
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

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