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Bephyer Parey; Elisabeth Kutscher – Journal of Mixed Methods Research, 2024
Rigor evaluation in mixed methods research is a growing need. Linking rigor to Hong and Pluye's (2019) concepts of methodological and reporting quality, the purpose of this article is to operationalize and expand Harrison et al.'s (2020) Rigorous Mixed Methods Framework. Drawing from a systematic methodological review of 66 inclusive education…
Descriptors: Mixed Methods Research, Difficulty Level, Evaluation Methods, Research Design
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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
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Jinfa Cai; Benjamin Rott – ZDM: Mathematics Education, 2024
Problem posing engages students in generating new problems based on given situations (including mathematical expressions or diagrams) or changing (i.e., reformulating) existing problems. Problem posing has been at the forefront of discussion over the past few decades. One of the important topics studied is the process of problem posing as…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Models
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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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Chan, Kennedy Kam Ho – International Journal of Science Education, 2022
Pedagogical content knowledge (PCK) refers to the content-specific knowledge that teachers use to promote students' learning of specific subject matter. PCK comprises multiple knowledge components that interact with each other when enacted in teachers' instructional practices. For many years, researchers lacked a robust methodological approach to…
Descriptors: Pedagogical Content Knowledge, Science Teachers, Science Education, Teaching Methods
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Zhichun Liu; Zarina Gearty; Eleanor Richard; Chandra Hawley Orrill; Shakhnoza Kayumova; Ramprasad Balasubramanian – International Journal of STEM Education, 2024
Although computational thinking (CT) is becoming increasingly prevalent in K-12 education, many teachers find it challenging to integrate it with their classroom learning. In this systematic review, we have reviewed empirical evidence on teachers' computational-thinking-focused professional development (PD). The findings depict the landscape of…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Teaching Methods
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Daniel Alvunger – International Journal for Research in Vocational Education and Training, 2024
Purpose: This paper presents a qualitative systematic review of Swedish research on vocational education and training (VET) at the upper secondary school level over the past 20 years. The review is based on a theoretical model on curriculum making as social practice that may serve as model for comparative studies between countries. By introducing…
Descriptors: Curriculum Development, Secondary School Students, Foreign Countries, Vocational Education
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Yasushi Tsujimoto; Yusuke Tsutsumi; Yuki Kataoka; Akihiro Shiroshita; Orestis Efthimiou; Toshi A. Furukawa – Research Synthesis Methods, 2024
Meta-analyses examining dichotomous outcomes often include single-zero studies, where no events occur in intervention or control groups. These pose challenges, and several methods have been proposed to address them. A fixed continuity correction method has been shown to bias estimates, but it is frequently used because sometimes software (e.g.,…
Descriptors: Meta Analysis, Literature Reviews, Epidemiology, Error Correction
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David Goretzko; Karik Siemund; Philipp Sterner – Educational and Psychological Measurement, 2024
Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…
Descriptors: Factor Analysis, Goodness of Fit, Psychological Studies, Measurement
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Thomas R. Guskey – Learning Professional, 2024
Political discord, social tensions, and global conflicts compel teachers to guide students in exploring diverse perspectives and engaging in constructive, respectful dialogues. Furthermore, the rapid evolution of technology, particularly artificial intelligence (AI), necessitates teachers and school leaders to consider entirely new paradigms in…
Descriptors: Program Evaluation, Faculty Development, Academic Achievement, Elementary Secondary Education
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Hii, Puong Koh; Goh, Chin Fei; Rasli, Amran; Tan, Owee Kowang – Knowledge Management & E-Learning, 2022
Multicriteria decision-making (MCDM) techniques have been widely adopted to evaluate the effectiveness of e-learning. However, the literature review has not kept pace with the rapid accumulation of knowledge in this field. This study systematically reviews the MCDM techniques applied in e-learning issues. In total, we reviewed 77 published studies…
Descriptors: Electronic Learning, Instructional Effectiveness, Decision Making, Evaluation
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Hunter A. Matusevich; Karrie A. Shogren; Sheida K. Raley; Kathleen N. Zimmerman; Abdulaziz Alsaeed; Richard Chapman – Career Development and Transition for Exceptional Individuals, 2025
Self-determination is a predictor of postschool success. The importance of self-determination instruction for students with and without disabilities is increasingly being recognized. The Self-Determined Learning Model of Instruction (SDLMI) has been implemented in various settings and at various intensities with all students. Researchers have…
Descriptors: Self Determination, Models, Students with Disabilities, Multi Tiered Systems of Support
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Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
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Mikkel Helding Vembye; Felix Weiss; Bethany Hamilton Bhat – Review of Educational Research, 2024
Co-teaching and related collaborative models of instruction are widely used in primary and secondary schools in many school systems. This systematic review and meta-analysis investigated the effects of such models on students' academic achievement and how these effects are moderated by factors of theoretical and practical relevance. Although…
Descriptors: Team Teaching, Teacher Collaboration, Models, Teaching Methods
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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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