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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
Nadine Schlomske-Bodenstein; Bernhard Standl; Pablo Pirnay-Dummer – International Association for Development of the Information Society, 2023
The study presented in this paper uses heuristics from computer linguistics and graph theory to analyze a systematic literature review on educational technology. A literature review was conducted to validate an expert-based taxonomy which was developed to ontologize delivered teaching and learning for easy reuse. The sample includes N = 121…
Descriptors: Heuristics, Educational Technology, Literature Reviews, Automation
Mikkel Godsk; Karen Louise Møller – Education and Information Technologies, 2025
There is a widespread agenda of improving teaching and learning in higher education by engaging students with educational technology. Based on a large-scale literature review, the article presents 61 specific, research-based recommendations for realising the engagement potential of eight types of educational technologies in higher education. These…
Descriptors: College Students, Learner Engagement, Technology Uses in Education, Educational Technology
Lunny, Carole; Reid, Emma K.; Neelakant, Trish; Chen, Alyssa; Zhang, Jia He; Shinger, Gavindeep; Stevens, Adrienne; Tasnim, Sara; Sadeghipouya, Shadi; Adams, Stephen; Zheng, Yi Wen; Lin, Lester; Yang, Pei Hsuan; Dosanjh, Manpreet; Ngsee, Peter; Ellis, Ursula; Shea, Beverley J.; Wright, James M. – Research Synthesis Methods, 2022
Multiple 'overviews of reviews' conducted on the same topic ("overlapping overviews") represent a waste of research resources and can confuse clinicians making decisions amongst competing treatments. We aimed to assess the frequency and characteristics of overlapping overviews. MEDLINE, Epistemonikos and Cochrane Database of Systematic…
Descriptors: Taxonomy, Literature Reviews, Meta Analysis, Incidence
Agariadne Dwinggo Samala; Soha Rawas; Tianchong Wang; Janet Marie Reed; Jinhee Kim; Natalie-Jane Howard; Myriam Ertz – Education and Information Technologies, 2025
The rapid advancement of Generative Artificial Intelligence (GenAI) models, particularly ChatGPT, has sparked widespread discussion among educators and researchers regarding their potential implications for education. This study presents a comprehensive taxonomy of GenAI in academia and education, encompassing a wide range of applications,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Taxonomy, Ethics
Seohyeon Choi; Emma Shanahan; Bess Casey-Wilke; Jechun An; LeAnne Johnson – Journal of Learning Disabilities, 2024
Despite decades of research efforts, data-based instruction (DBI) for students with intensive intervention needs are not being widely used in practice as anticipated, and many educators have difficulties in implementing it. This systematic review aimed to examine what kinds of implementation drivers and strategies have been used to support…
Descriptors: Special Needs Students, Learning Disabilities, Intervention, Program Implementation
Arielle Boguslav – Annenberg Institute for School Reform at Brown University, 2024
Despite the common title of "coach," definitions of high-quality coaching vary tremendously across models and programs. Yet, few studies make comparisons across different models to understand what is most helpful, for whom, and under what circumstances. As a result, practitioners are left with many options and little evidence-based…
Descriptors: Coaching (Performance), Discourse Analysis, Educational Quality, Definitions
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
Sepehr Ghazinoory; Aida Mohajeri; Mehdi Kiamehr; Hasan Danaeefard – Interactive Learning Environments, 2023
The prerequisite of developing countries' economic growth is to move along the technological development trajectory through technological learning, and large firms as hubs of technological knowledge, play an important role in this transition. In this paper, we tried to bridge two main taxonomies in the field of technological development, one of…
Descriptors: Technology Education, Workplace Learning, Corporations, Corporate Education
Bunt, Byron John; Grosser, Mary; van Tonder, Deon – Journal of Cognitive Education and Psychology, 2022
In this article, a methodology for utilizing eight Thinking Maps that are linked to a cognitive taxonomy will be explored. Firstly, the various taxonomies focusing on cognitive processes will be elaborated upon, namely Bloom's Taxonomy as well as Barret's Taxonomy that is used in the education system. Following this, the article will explore the…
Descriptors: Concept Mapping, Thinking Skills, Taxonomy, Cognitive Processes
Anikieva, Marina A. – Australasian Journal of Educational Technology, 2021
This paper discusses the factors that determine the customisation of e-learning programmes. The process of customisation depends on many parameters, such as the objectives of the programme, the quantity and order of the learning materials, the personality and abilities of the student, and the resources within the learning system. Curriculum…
Descriptors: Electronic Learning, Individualized Instruction, Taxonomy, Educational Research
Lauritz Schewior; Marlit Annalena Lindner – Educational Psychology Review, 2024
Studies have indicated that pictures in test items can impact item-solving performance, information processing (e.g., time on task) and metacognition as well as test-taking affect and motivation. The present review aims to better organize the existing and somewhat scattered research on multimedia effects in testing and problem solving while…
Descriptors: Multimedia Materials, Computer Assisted Testing, Test Items, Pictorial Stimuli
Ley, Tobias; Tammets, Kairit; Pishtari, Gerti; Chejara, Pankaj; Kasepalu, Reet; Khalil, Mohammad; Saar, Merike; Tuvi, Iiris; Väljataga, Terje; Wasson, Barbara – Journal of Computer Assisted Learning, 2023
Background: With increased use of artificial intelligence in the classroom, there is now a need to better understand the complementarity of intelligent learning technology and teachers to produce effective instruction. Objective: The paper reviews the current research on intelligent learning technology designed to make models of student learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Analytics, Instructional Effectiveness
Lorås, Madeleine; Sindre, Guttorm; Trætteberg, Hallvard; Aalberg, Trond – ACM Transactions on Computing Education, 2022
As the field of computing education grows and matures, it has become essential to unite computing education and higher education research. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This article…
Descriptors: Study Habits, Computer Science Education, Higher Education, College Students
Baker, Elise; Masso, Sarah; Huynh, Kylie; Sugden, Ellie – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Reporting of outcome and experience measures is critical to our understanding of the effect of intervention for speech sound disorders (SSD) in children. There is currently no agreed-upon set of measures for reporting intervention outcomes and experiences. In this article, we introduce the Speech Outcome Reporting Taxonomy (SORT), a tool…
Descriptors: Outcomes of Treatment, Speech Impairments, Phonology, Intervention