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Wang, Chia-Chi; Ho, Hsiao-Chi; Cheng, Chih-Ling – SAGE Open, 2022
This study aimed to examine the learning progression (LP) model of scientific imagination among undergraduate students using the Scientific Imagination Test-Verbal (SIT-Verbal) and investigated the influence of students' demographic characteristics including gender, age, and discipline on their scientific imagination. Six hundred and sixteen…
Descriptors: Learning Trajectories, Undergraduate Students, Sex, Age
Lemay, David John; Doleck, Tenzin – Interactive Learning Environments, 2022
Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching…
Descriptors: MOOCs, Academic Achievement, Prediction, Student Behavior
The Role of Domain-General and Domain-Specific Skills in the Identification of Arithmetic Strategies
Eaves, Joanne; Attridge, Nina; Gilmore, Camilla – Journal of Numerical Cognition, 2022
Individuals solve arithmetic problems in different ways and the strategies they choose are indicators of advanced competencies such as adaptivity and flexibility, and predict mathematical achievement. Understanding the factors that encourage or hinder the selection of different strategies is therefore important for helping individuals to succeed…
Descriptors: Arithmetic, Mathematics Skills, Problem Solving, Learning Strategies
Saqr, Mohammed; Peeters, Ward – British Journal of Educational Technology, 2022
Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions of collaborative learning. A majority of SNA research has so far used static networks, i.e., aggregated networks that compile interactions without considering "when" certain activities or relationships occurred. Compressing a temporal…
Descriptors: Social Networks, Network Analysis, Cooperative Learning, Electronic Learning
Santoro, Sergio – Journal of Workplace Learning, 2022
Purpose: This study aims to innovate by investigating the effects of goal orientations on informal learning strategies and whether intrinsic motivation mediates the relation between those two constructs. Design/methodology/approach: To address these aims, the author relied on a quantitative study and on structural equation modeling to evaluate the…
Descriptors: Goal Orientation, Workplace Learning, Informal Education, Learning Strategies
Lopez, Eva Niña B.; Maraño, Chris Mae B.; Origenes, Ritchelle W.; Pizaña, Aylene D.; Salmo, Josephine M.; Picardal, Jay P. – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2022
Content and accuracy evaluation of textbooks is important as it provides quality assurance to both teachers and learners, especially in the new normal where modular instruction is used. This research aimed at evaluating the biology textbooks used by Senior High School STEM Science teachers (n=15) in content, presentation, and learning strategies.…
Descriptors: Content Analysis, Cytology, Scientific Concepts, Secondary School Science
Brandt, Edward C.; Columba, Lynn – Mathematics Teaching Research Journal, 2022
Over the past decade, there has been an urgent calling for the improvement of teaching and learning of mathematics. At that same time, research has provided promising findings in the value of self-regulation and choice on learning for student achievement. With the ever-increasing availability of resources for educators to support student learning,…
Descriptors: Blended Learning, Student Motivation, Mathematics Achievement, Learning Strategies
Duculescu, Cristina – ProQuest LLC, 2022
The purpose of this dissertation is three-fold: to further the understanding of grammar learning strategies (GLS) that students at an American university use when they engage in language study sessions on their own, in technology-enhanced language learning (TELL) outside of the classroom; to examine how previous language learning experience (PLLE)…
Descriptors: Grammar, Learning Strategies, Language Acquisition, Technology Uses in Education
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
Gazzara, Christopher T. – ProQuest LLC, 2022
Limited research examines writing tutors' self-efficacy, or how tutors believe "in their abilities to produce given attainments" (Bandura, 2006, p. 307). This qualitative constant comparative study explored self-efficacy's impact on tutoring strategies writing tutors use in recorded digital tutoring conferences with community college…
Descriptors: Writing (Composition), Tutors, Self Efficacy, Scaffolding (Teaching Technique)
Wilson, Wesley K. – ProQuest LLC, 2022
Statement of Purpose and Method of Study: Conley's college readiness model includes four key indicators: cognitive skills, content knowledge, academic behaviors, and transition knowledge and skills. The study determined how State Educational Agencies (SEAs) outside Mississippi with an average or above-average post-secondary retention rate measure…
Descriptors: State Standards, Accountability, Models, College Readiness
Cynthia Clegg Davies – ProQuest LLC, 2022
In the United States, community colleges have served diverse student populations, including students of color and students with disabilities. While these colleges are celebrated for their access and affordability, student success is not guaranteed. As educators work to continuously improve course and program completion, students' sense of…
Descriptors: Student Participation, Learning Strategies, Sense of Community, Community Colleges
Gilad Schrift; Dror Dotan; Nitzan Censor – npj Science of Learning, 2022
Learning of arithmetic facts such as the multiplication table requires time-consuming, repeated practice. In light of evidence indicating that reactivation of encoded memories can modulate learning and memory processes at the synaptic, system and behavioral levels, we asked whether brief memory reactivations can induce human learning in the…
Descriptors: Memory, Cognitive Processes, Numeracy, Mathematics Education
Tamilka, Bonjeer – Bulgarian Comparative Education Society, 2023
When the COVID-19 pandemic forced school closures, science, technology, engineering, and mathematics (STEM) teachers were left with the challenging task of devising ways for students to conduct experiments at home. This was necessary because experiments and other hands-on activities are integral to STEM education and are linked to the development…
Descriptors: STEM Education, Distance Education, Electronic Learning, Technology Uses in Education
Altalhab, Sultan – International Journal of Education and Literacy Studies, 2023
Although there is robust research on vocabulary learning strategies (VLSs), little is known about the strategies that learners use in pair work. Therefore, this study examines the VLSs employed by 40 Saudi undergraduate students whilst working in pair tasks. This study also investigates whether there is a relationship between using certain…
Descriptors: Vocabulary, Learning Strategies, Undergraduate Students, Cooperative Learning