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Katherine Picho-Kiroga; Marcela Valencia Serrano; Noel Bourne; Jerriel Hall – Advances in Engineering Education, 2024
Stereotype threat (ST) is implicated as a contributory factor to attrition in Science Technology Engineering and Math (STEM) fi elds. One of the mechanisms by which ST degrades performance is by impairing metacognitive monitoring (Schmader et al. 2008), which is positively related to learning and performance (Hadwin et al., 2017; Winne &…
Descriptors: Performance, African American Students, Engineering Education, Stereotypes
Qiongjiang Song; Yuhan Liu; Qinggen Zhang – British Educational Research Journal, 2025
This study aimed to contribute to the substantial body of research on critical thinking (CT) interventions by determining whether the effectiveness of two CT interventions (generic and infusion) varied according to students' baseline CT levels. Using a quasi-experimental design, we collected data from two universities, with 167 participants from…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Teaching Methods
Yang, Christopher C. Y.; Ogata, Hiroaki – Education and Information Technologies, 2023
The application of student interaction data is a promising field for blended learning (BL), which combines conventional face-to-face and online learning activities. However, the application of online learning technologies in BL settings is particularly challenging for students with lower self-regulatory abilities. In this study, a personalized…
Descriptors: Individualized Instruction, Learning Analytics, Intervention, Academic Achievement
Mengjiao Yin; Hengshan Cao; Zuhong Yu; Xianyu Pan – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…
Descriptors: Predictor Variables, Artificial Intelligence, Performance, Cluster Grouping
Green, Katherine B.; Towson, Jacqueline – Teaching and Learning in Communication Sciences & Disorders, 2022
Differentiated instruction is a student-centered approach to instruction that considers the differing characteristics and aspects of the learner. With increasing diversity in higher education, differentiated instruction is one strategy that instructors may use to facilitate student success. However, there is limited empirical research examining…
Descriptors: Individualized Instruction, Ability Grouping, Undergraduate Students, Communications
Misun Dokko – Journal of Basic Writing, 2023
The two-year institution where I teach first-year composition serves multilingual students who excel, keep pace, or fall behind. In addition to these students, there are one or two whom I identify as "promising but struggling multilinguals." While this small but everpresent contingent attend regularly, submit work somewhat consistently,…
Descriptors: Multilingualism, Intervention, Freshman Composition, Bilingual Students
Rebecca April Gibson – School-University Partnerships, 2024
Purpose: This case study sought to investigate the relationship between pre-service teachers' participation in designing and delivering one-on-one literacy intervention lessons to beginning readers and their own evolving self-efficacy in literacy instruction. Design/methodology/approach: The study was embedded within a 4000-level course in the…
Descriptors: Literacy Education, Intervention, Beginning Reading, Preservice Teachers
Jiang Congmeng; Adjah N. Mazlan – Journal of Pedagogical Research, 2025
This study explores the interplay between educational technology adoption, online community participation, self-paced learning, and graduate students' health promotion skills in physical education programs. It investigates how these factors facilitate or hinder skill development by examining teaching techniques and interventions in graduate…
Descriptors: Graduate Students, Health Promotion, Physical Education, Educational Technology
Hur, Paul; Lee, HaeJin; Bhat, Suma; Bosch, Nigel – International Educational Data Mining Society, 2022
Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…
Descriptors: Artificial Intelligence, Individualized Instruction, College Mathematics, Statistics
Christina Armstrong – ProQuest LLC, 2023
The problem at a Southwestern private school is that secondary teachers have insufficient training to apply personalized instruction (PI) with fidelity to meet the needs of students with severe to moderate cognitive impairments. The purpose of this basic qualitative study was to explore the secondary teachers' perceptions of the training they need…
Descriptors: Secondary School Teachers, Private Schools, Individualized Instruction, Intellectual Disability
Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
Caitlin Mahoney Spears – ProQuest LLC, 2022
This study describes how participation in a university literacy clinic impacts self-efficacy in pre-service teacher candidates. This study was conducted one and a half years into the global COVID-19 pandemic, creating the need for the clinic's program, Literacy Camp, to be completed through fully virtual means. Thus, ways in which the pre-service…
Descriptors: Preservice Teachers, Self Efficacy, Literacy Education, Clinics
Fiedler, Sebastian H. D.; Väljataga, Terje – Interactive Learning Environments, 2020
This paper argues for conceptualizing the notion of personal learning environments in higher education from an explicit adult education perspective that emphasizes the realization, re-instrumentation, and integration of learning activity in the wider context of adult life. It discusses and re-interprets an existing proposal for modeling "the…
Descriptors: Individualized Instruction, Adult Students, Adult Education, Higher Education
Ghaith, Ghazi M.; Awada, Ghada M. – Teaching & Learning Inquiry, 2022
This article reports the results of a qualitative study of the effectiveness of a critical reading instructional intervention based on teacher/student conferencing (TSC) and differentiated instruction (DI) in improving the participants' understanding and evaluation of published educational research. TSC and DI entailed using a subset of teaching…
Descriptors: Scaffolding (Teaching Technique), Educational Research, Teacher Student Relationship, Individualized Instruction
Orji, Fidelia A.; Vassileva, Julita; Greer, Jim – International Journal of Artificial Intelligence in Education, 2021
Persuasive Technologies (PT) are computational methods, strategies, and design techniques, grounded in social psychology to change user attitudes/behaviours. PTs have been applied in diverse areas, such as eCommerce, health, workplace, vehicles, urban and ambient environments. A kind of PT that has become popular in eLearning is known under the…
Descriptors: Intervention, Program Effectiveness, Learner Engagement, Class Size