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Saini, Munish; Arora, Vaibhav; Singh, Madanjit; Singh, Jaswinder; Adebayo, Sulaimon Oyeniyi – Education and Information Technologies, 2023
With the advent of technology and digitization, the use of Information and Communication Technology (ICT) and its tools for the imperative dissemination of information to learners are gaining more ground. During the process of the conveyance of lectures, it is mostly observed that students (learners) are supposed to take notes (minutes) of the…
Descriptors: Artificial Intelligence, Multilingualism, Information Technology, Guidelines
Verdecchia, Roberto; Lago, Patricia – IEEE Transactions on Education, 2023
Contribution: This article contributes empirical insights on hybrid teaching of software engineering courses. Results include the systematic analysis of hybrid teaching attendance and interaction, perception of hybrid teaching, and grade distributions. Results are synthesized into eight evidence-based guidelines. Background: Hybrid teaching, i.e.,…
Descriptors: Engineering Education, Computer Science Education, Computer Software, Masters Programs
James Ohisei Uanhoro – Educational and Psychological Measurement, 2024
Accounting for model misspecification in Bayesian structural equation models is an active area of research. We present a uniquely Bayesian approach to misspecification that models the degree of misspecification as a parameter--a parameter akin to the correlation root mean squared residual. The misspecification parameter can be interpreted on its…
Descriptors: Bayesian Statistics, Structural Equation Models, Simulation, Statistical Inference
Tan, Teck Kiang – Practical Assessment, Research & Evaluation, 2023
Researchers often have hypotheses concerning the state of affairs in the population from which they sampled their data to compare group means. The classical frequentist approach provides one way of carrying out hypothesis testing using ANOVA to state the null hypothesis that there is no difference in the means and proceed with multiple comparisons…
Descriptors: Comparative Analysis, Hypothesis Testing, Statistical Analysis, Guidelines
Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
Sakata, Nozomi – Journal of Mixed Methods Research, 2023
Whereas the significance and potential impacts of messiness in mixed methods research have been well acknowledged, the literature on mixed methods research has accumulated few examples of engaging and navigating mess. This article provides an account of the nitty-gritty of messiness and its consequences during the process of mixed methods…
Descriptors: Guidelines, Mixed Methods Research, Case Studies, Interpersonal Relationship
Tucker, Susan; Stevahn, Laurie; King, Jean A. – American Journal of Evaluation, 2023
This article compares the purposes and content of the four foundational documents of the American Evaluation Association (AEA): the Program Evaluation Standards, the AEA Public Statement on Cultural Competence in Evaluation, the AEA Evaluator Competencies, and the AEA Guiding Principles. This reflection on alignment is an early effort in the third…
Descriptors: Professionalism, Comparative Analysis, Professional Associations, Program Evaluation
Dony Marzuki – PASAA: Journal of Language Teaching and Learning in Thailand, 2023
This study investigated the effects of two types of classroom instructions on EFL learners' oral proficiency by implementing teachers' judgment. Two intact classes of EFL university students studied a compulsory subject of their department under two different types of classroom instruction. The first group of students was trained with explicit…
Descriptors: Language Proficiency, English (Second Language), Second Language Learning, Second Language Instruction
OECD Publishing, 2021
Digital technologies have transformed the way people interact, work and learn. The emergency transition to online teaching and learning necessitated by the coronavirus (COVID-19) pandemic has posed a serious challenge to instructional routines of higher education systems across OECD countries. The pandemic has demonstrated the ability of higher…
Descriptors: Higher Education, Educational Change, Online Courses, Distance Education
Evaluation Quality Assessment Frameworks: A Comparative Assessment of Their Strengths and Weaknesses
Pollard, Alison; Forss, Kim – American Journal of Evaluation, 2023
Quality Assessment Frameworks (QAFs) are standardized templates that include pre-defined criteria, open questions, or a combination to assess the quality of evaluations. They support organizations to limit risks associated with poor-quality evaluation. Qualitative research focused on four QAFs shows that five dimensions of quality are assessed…
Descriptors: Comparative Analysis, Guidelines, Evaluation Methods, Evaluation Criteria
Alain Bengochea; Sabrina F. Sembiante – Review of Education, 2024
This best-evidence synthesis appraises the design and outcome characteristics of vocabulary intervention studies conducted with preschool through 6th grade emergent bilingual (EB) children and spotlights rigorously designed studies for which effects could be better attributed to instructional features. Twenty-nine selected studies were analysed…
Descriptors: Bilingualism, Vocabulary Development, Intervention, Comparative Analysis
Young, Karin J.; Habgood, Laurel G.; Stensaas, Kristina L.; Villanueva, Omar; Weigand, Willis – Journal of Chemical Education, 2021
In this laboratory experiment, students evaluated three silver(I) complexes as potential additives for dental adhesives based on bacterial growth inhibition, heat stability, water insolubility, and cost-effectiveness. Each student prepared and analyzed a cyanoxime ligand and its corresponding silver(I) complex. Students characterized the…
Descriptors: Chemistry, Biomedicine, Laboratory Experiments, Biochemistry
Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
Wang, Shaojie; Zhang, Minqiang; Lee, Won-Chan; Huang, Feifei; Li, Zonglong; Li, Yixing; Yu, Sufang – Journal of Educational Measurement, 2022
Traditional IRT characteristic curve linking methods ignore parameter estimation errors, which may undermine the accuracy of estimated linking constants. Two new linking methods are proposed that take into account parameter estimation errors. The item- (IWCC) and test-information-weighted characteristic curve (TWCC) methods employ weighting…
Descriptors: Item Response Theory, Error of Measurement, Accuracy, Monte Carlo Methods
Groth, Randall E.; Follmer, D. Jake – Investigations in Mathematics Learning, 2021
As lesson study becomes more prevalent, there is a need to continuously develop theoretical and methodological infrastructure to support and refine its use. In this article, we present a critical methodological analysis of the challenges and benefits of using Toulmin's argumentation model in mathematics education to assess the debriefing phase of…
Descriptors: Models, Mathematics Instruction, Lesson Plans, Persuasive Discourse