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Xiao Wen; Hu Juan – Interactive Learning Environments, 2024
To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…
Descriptors: MOOCs, Dropouts, Dropout Characteristics, Dropout Research
Michael E. O'Sullivan; Kyle Hasenstab – PRIMUS, 2024
This article studies the efficacy of ALEKS Preparation, Placement and Learning (PPL) in assessing the likelihood of a student succeeding in a first-semester calculus course. Proctored ALEKS PPL assessments were taken by all students enrolled in Calculus 1 during five semesters in which all students took a tightly coordinated course that included…
Descriptors: Placement Tests, Calculus, Undergraduate Students, Predictor Variables
Jessie Weber; Tara Fahmie; Seth Walker; Joseph Lambert; Bailey Copeland; Thomas Freetly; Amanda Zangrillo – Journal of Applied Behavior Analysis, 2024
Understanding factors that influence the efficacy of functional communication training has both practical and conceptual benefits. The current study extended research in this area by exploring data from 95 consecutive applications of functional communication training with extinction across two independent clinics. We selected candidate predictor…
Descriptors: Communication (Thought Transfer), Communication Skills, Skill Development, Training
Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Lisa Meerts-Brandsma; Bryn Spielvogel; Hilary Lambert; Jim Sibthorp – Journal of Experiential Education, 2024
Background: Practitioners want to create meaningful experiences for youth because they provide positive benefits. Immersion semester high schools are likely to provide meaningful experiences. Purpose: This study sought to identify what types of activities are most meaningful to youth, whether activities are more meaningful in immersion semester…
Descriptors: Experiential Learning, High School Students, Learning Activities, Psychological Patterns
Chai, Huanyou; Hu, Tianhui; Niu, Gengfeng – Education and Information Technologies, 2023
Research on online learning effectiveness has experienced a shift towards focusing on learner characteristics or differences. However, little attention has been paid to learners' personality traits, especially those that highly match with the environmental characteristics of online learning. Guided by recent active learning approach and Model of…
Descriptors: Undergraduate Students, Personality Traits, Online Courses, Academic Achievement
Wang, Qin; Mousavi, Amin – British Journal of Educational Technology, 2023
Technologies and teaching practices can provide a rich log data, which enables learning analytics (LA) to bring new insights into the learning process for ultimately enhancing student success. This type of data has been used to discover student online learning patterns, relationships between online learning behaviors and assessment performance.…
Descriptors: Predictor Variables, Academic Achievement, Literature Reviews, Meta Analysis
The Causal Relationship between Learner Motivation and Language Achievement: New Dynamic Perspective
Alamer, Abdullah; Alrabai, Fakieh – Applied Linguistics, 2023
It is well known that successful second language (L2) learners are motivated individuals. Accordingly, L2 researchers have tested the predictive power of different motivational constructs on language learning outcomes. However, this perspective appears to neglect the assessment of achievement as a predictor of future motivation. To assess this…
Descriptors: Learning Motivation, Second Language Learning, Achievement, Academic Achievement
Ne'eman, Ariel; Shaul, Shelley – Child & Youth Care Forum, 2023
Background: Many studies have examined which kindergarteners' skills best predict reading acquisition later at school. Most of these studies focused on emergent literacy skills such as letter knowledge, phonological awareness, and oral language abilities as the basis for reading acquisition. Additionally, several studies have also found cognitive…
Descriptors: Kindergarten, Young Children, Emergent Literacy, Cognitive Ability
Soto, Christian; Gutierrez de Blume, Antonio P.; Rebolledo, Verónica; Rodríguez, Fernanda; Palma, Diego; Gutiérrez, Fernando – Metacognition and Learning, 2023
Reading comprehension and writing are essential skills for success in modern societies. Additionally, reading and writing have been described as highly reflective activities that necessitate metacognitive monitoring and control. However, reading comprehension and writing are skills moderated by many factors, proficiency among them. Thus, in the…
Descriptors: Metacognition, Reading Comprehension, Writing Skills, Reading Achievement
Sepiadou, Iwanna; Metallidou, Panayiota – European Journal of Psychology of Education, 2023
The aim of the study was to investigate the predictive value of adaptive and maladaptive dimensions of perfectionism for academic procrastination in university students and the possible moderating role of different dimensions of academic hardiness. The total sample was consisted of 966 undergraduate students from various departments. They were…
Descriptors: Academic Persistence, Personality Traits, Time Management, Predictor Variables
Goren, Dilara; Kaya, Ebru – Science & Education, 2023
The paper reports an empirical study on the relationship between middle school students' understanding of nature of science (NOS) and their metacognitive awareness. The reconceptualised family resemblance approach to the nature of science (RFN) (Erduran & Dagher, 2014; Kaya & Erduran, 2016) as a holistic framework that covers science as…
Descriptors: Scientific Principles, Metacognition, Middle School Students, Predictor Variables
Ghai, Akanksha; Tandon, Urvashi – Education and Information Technologies, 2023
The current study investigates the interaction of Gamification, and Instructional Design to enhance the Usability of e-Learning in higher education programs. The study also examines the mediating role of Instructional design. Data were collected from a self-structured questionnaire from the academicians and was analyzed through Structural Equation…
Descriptors: Gamification, Instructional Design, Usability, Electronic Learning
Burns, Matthew K.; Lembke, Erica S.; Duesenberg-Marshall, McKinzie D.; Hopkins, Stephanie; Hirt, Stacy; Romero, Monica E.; Thomas, Elizabeth; Steinbauer, Jo Ann; Del Gaiso, Amber; Crooks, Scott – Journal of Research in Special Educational Needs, 2023
The present level of academic achievement and functional performance (PLAAFP) is an essential component of the individualised educational program (IEP) process because it identifies student strengths and areas for growth. However, there is minimal research that examines components of an IEP and student outcomes. The current study examined the…
Descriptors: Academic Achievement, Educational Assessment, Individualized Education Programs, Educational Quality
Decarli, Gisella; Zingaro, Donatella; Surian, Luca; Piazza, Manuela – Developmental Science, 2023
Preverbal infants spontaneously represent the number of objects in collections. Is this 'sense of number' (also referred to as Approximate Number System, ANS) part of the cognitive foundations of mathematical skills? Multiple studies reported a correlation between the ANS and mathematical achievement in children. However, some have suggested that…
Descriptors: Infants, Numeracy, Young Children, Mathematics Achievement