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Nargiza Mikhridinova; Carsten Wolff; Wim Van Petegem – Education and Information Technologies, 2024
An individual competence is one of the main human resources, which enables a person to operate in everyday life. A competence profile, formally captured and described as a structured model, may enable various operations, e.g., a more precise evaluation and closure of a training gap. Such application scenarios supported by information systems are…
Descriptors: Taxonomy, Competence, Models, Profiles
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Pattamaporn Piriyapongpipat; Sally Goldin; Nadh Ditcharoen – Smart Learning Environments, 2024
Global trends in higher education emphasize the development of curricula that offer greater responsiveness to learners. Creating flexible and responsive curricula will require additional support systems for curriculum management. The first step toward sustainably developing this kind of system is to represent essential curricular information in a…
Descriptors: Curriculum Development, Taxonomy, Higher Education, Models
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Herbert W. Marsh; Jiesi Guo; Reinhard Pekrun; Oliver Lüdtke; Fernando Núñez-Regueiro – Educational Psychology Review, 2024
Multi-wave-cross-lagged-panel models (CLPMs) of directional ordering are a focus of much controversy in educational psychology and more generally. Extending traditional analyses, methodologists have recently argued for including random intercepts and lag2 effects between non-adjacent waves and giving more attention to controlling covariates.…
Descriptors: Self Concept, Academic Achievement, Correlation, Educational Psychology
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Valentina Gliozzi – Cognitive Science, 2024
We propose a simple computational model that describes potential mechanisms underlying the organization and development of the lexical-semantic system in 18-month-old infants. We focus on two independent aspects: (i) on potential mechanisms underlying the development of taxonomic and associative priming, and (ii) on potential mechanisms underlying…
Descriptors: Infants, Computation, Models, Cognitive Development
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Constance Tucker; Sarah Jacobs; Kirstin Moreno – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Learning outcomes and assessment frameworks guide educators in curricular decisionmaking, impact assessment, gap identification, and equity evaluation, aligning with anticipated learning objectives. Common frameworks include Bloom's taxonomy, Kirkpatrick's model, Fink's taxonomy, and Moore's Outcomes model. The authors identified a lack of focus…
Descriptors: Student Evaluation, Outcomes of Education, Taxonomy, Decision Making
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Aik Lim Tan; Robyn Gillies; Azilawati Jamaludin – Cambridge Journal of Education, 2024
Assessing student learning outcomes has been an integral and central component of schools and academic institutions, both as a measure of how well the school is performing and how well individual students are progressing. However, standardised tests might not be able to fully capture holistic aspects of learning such as self-regulatory…
Descriptors: Models, Taxonomy, Student Evaluation, Student Interests
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Yerin Kwak; Zachary A. Pardos – British Journal of Educational Technology, 2024
The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open-source and…
Descriptors: Foreign Countries, Multilingualism, Instructional Materials, Access to Education
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Julie Larran; Sascha Hein – British Journal of Guidance & Counselling, 2024
This systematic literature review investigated school counselling needs in East and Southeast Asia based on 109 studies from 14 countries published since 2011. School counselling needs were categorised using an international taxonomy (Morshed & Carey, 2020, Development of a taxonomy of policy levers to promote high quality school-based…
Descriptors: Research, School Counseling, Asians, Foreign Countries
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Tanjea Ane; Tabatshum Nepa – Research on Education and Media, 2024
Precision education derives teaching and learning opportunities by customizing predictive rules in educational methods. Innovative educational research faces new challenges and affords state-of-the-art methods to trace knowledge between the teaching and learning ecosystem. Individual intelligence can only be captured through knowledge level…
Descriptors: Artificial Intelligence, Prediction, Models, Teaching Methods
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Samuele Maccioni; Cristiano Ghiringhelli; Edoardo Datteri – Learning Organization, 2024
Purpose: The purpose of this paper is to explore the phenomenon of organizational unlearning with a focus on challenging path dependence and its implications on the organizational change field. By generating a taxonomy of unlearning definitions and examining the dimensions, actors and processes involved, the authors aim to offer a holistic…
Descriptors: Organizational Change, Organizational Learning, Taxonomy, Outcome Measures
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Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
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Umair Ali Khan; Janne Kauttonen; Lili Aunimo; Ari Alamäki – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The purpose of this paper is to address the challenges posed by disinformation in an educational context. The paper aims to review existing information assessment techniques, highlight their limitations, and propose a conceptual design for a multimodal, explainable information assessment system for higher education. The ultimate goal…
Descriptors: Artificial Intelligence, Higher Education, Trust (Psychology), Barriers
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Emily O. Gravett; Dorothe Bach – To Improve the Academy, 2024
We are in a particular moment in human history when climate change and environmental degradation, and the accompanying "eco-anxiety" many of us feel, are challenging predominant ways of living and educating. Just as educational developers have started turning a critical lens inward around other important social justice issues, we all…
Descriptors: Indigenous Knowledge, Taxonomy, Social Justice, Learning Theories
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing