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Weitekamp, Daniel, III.; Harpstead, Erik; MacLellan, Christopher J.; Rachatasumrit, Napol; Koedinger, Kenneth R. – International Educational Data Mining Society, 2019
Computational models of learning can be powerful tools to test educational technologies, automate the authoring of instructional software, and advance theories of learning. These mechanistic models of learning, which instantiate computational theories of the learning process, are capable of making predictions about learners' performance in…
Descriptors: Computation, Models, Learning, Prediction
Jerry Stinnett – College Composition and Communication, 2019
This article theorizes how students know when to activate knowledge acquired in FYC courses. Addressing knowledge activation as motivated by pursuing activity-specific objectives, the author calls for situating students' encounter with and acquisition of rhetorical knowledge and practices of writing as knowledge of how to perform activities other…
Descriptors: College Freshmen, Writing (Composition), Courses, Learning Activities
Wilkie, Karina J. – Educational Studies in Mathematics, 2021
Teachers whose mathematical meanings support understanding across different contexts are likely to convey them in productive ways for coherent student learning. This exploratory study sought to elicit 67 secondary mathematics pre-service teachers' (PSTs) meanings for quadratics with growing pattern creation and multiple translation tasks. A…
Descriptors: Equations (Mathematics), Secondary School Mathematics, Preservice Teachers, Mathematics Skills
Wang, Yubing; Zhang, Tan; Chen, Ang – Journal of Teaching in Physical Education, 2021
Purpose: The purpose of this study was to determine the 3-year trajectory of students' interest in learning physical activity (PA) knowledge during middle school and the effects of gender and prior knowledge on the trajectory. Methods: Using a repeated-measures design, a cohort of 447 sixth-grade students' interest in learning PA knowledge was…
Descriptors: Physical Activities, Gender Differences, Prior Learning, Middle School Students
Jung, Jaewon; Shin, Yoonhee; Zumbach, Joerg – Interactive Learning Environments, 2021
This study investigated the effects of pre-training types on the cognitive load, collaborative knowledge construction and level of learning in a computer-supported collaborative learning environment. Pre-training was provided to help learners optimise their cognitive load, build accurate shared-knowledge and achieve successful deep learning. The…
Descriptors: Cognitive Processes, Difficulty Level, Knowledge Level, Cooperative Learning
Shaw, Tammy; Wood, Timothy J.; Touchie, Claire; Pugh, Debra; Humphrey-Murto, Susan M. – Advances in Health Sciences Education, 2021
Learner handover (LH), the process of sharing of information about learners between faculty supervisors, allows for longitudinal assessment fundamental in the competency-based education model. However, the potential to bias future assessments has been raised as a concern. The purpose of this study is to determine whether prior performance…
Descriptors: Bias, Prior Learning, Physicians, Student Evaluation
Wang, Dongqing; Han, Hou – Journal of Computer Assisted Learning, 2021
With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further…
Descriptors: Learning Analytics, Educational Technology, Feedback (Response), Intelligent Tutoring Systems
Alzahrani, Latifa; Seth, Kavita Panwar – Education and Information Technologies, 2021
COVID-19 has impacted educational processes in most countries: some educational institutions have closed, while others, particularly in higher education, have converted to online learning systems, due to the advantages offered by information technologies. This study analyzes the critical factors influencing students' satisfaction with their…
Descriptors: Student Satisfaction, College Students, Integrated Learning Systems, Electronic Learning
Fonseca, Kathleen – South African Journal of Childhood Education, 2021
Background: During their university studies, student teachers are equipped for the teaching profession in various domains of knowledge and practice. In addition to learning pedagogic skills for practice purposes, they also expand their knowledge of the subjects that they will teach. In mathematics teacher education, one important principle is that…
Descriptors: Problem Solving, Preservice Teachers, Preservice Teacher Education, Mathematics Education
Papa, Maria Fernanda; De Castro, Maria Valeria; Becker, Pablo; Martinez, Esperanza Marcos; Olsina, Luis – IEEE Transactions on Education, 2021
Contribution: From prior studies on models and strategies used to study the academic performance of university students, it is evident that none of them either evaluates T-shaped degrees or does so according to the profile of the students' high school provenance. The study provided in this article employs a well-established model and strategy to…
Descriptors: Student Evaluation, Evaluation Methods, College Students, Prior Learning
Velardi, Sara; Leahy, Jessica; Collum, Kourtney; McGuire, Julia; Ladenheim, Melissa – Journal of Agricultural Education and Extension, 2021
Purpose: Knowledge exchange networks are critical to farmer success and help reduce barriers to entry and growth for new farmers. This study explores informal and formal knowledge exchange networks among two growing industries in Maine: maple syrup production and beekeeping. We increase understanding of the mechanisms through which knowledge…
Descriptors: Agricultural Occupations, Adult Learning, Informal Education, Learning Theories
Xu, Jianzhong – European Journal of Psychology of Education, 2021
Whereas it is often a challenge to keep students motivated and interested in academic tasks, it is more of a challenge to have students stay motivated and interested in academic tasks outside school during nonschool hours--homework. Prior research, however, has largely overlooked the reasons or purposes students have for doing homework and their…
Descriptors: Homework, Goal Orientation, Student Interests, Mathematics Achievement
Gunshenan, Clare; Inouye, Martha; Houseal, Ana; Jacobs, Tracy – Science and Children, 2021
In this article, the authors share how model lessons spaced throughout the year, connected by a single anchoring phenomenon, provided opportunities for teachers to build schema for complex science learning as they shifted between "learner hats" and "teacher hats." Descriptions of the authors' workshop sessions include…
Descriptors: Faculty Development, Science Instruction, Workshops, Teaching Methods
Atarés, Lorena; Canet, M. Jose; Trujillo, Macarena; Benlloch-Dualde, José Vte.; Paricio Royo, Javier; Fernandez-March, Amparo – Education Sciences, 2021
Pregraduate students often have low success expectations toward their thermodynamics courses, which are often considered too abstract and remarkably difficult to understand. For this reason, they may not even try to reach any level of comprehension while settling for reproducing mathematical calculations and memorizing definitions to pass the…
Descriptors: Thermodynamics, Scientific Concepts, Concept Formation, Misconceptions
Miller-Cotto, Dana; Auxter, Abbey E. – Educational Psychology, 2021
Faded worked examples have been used to promote problem solving performance, such as mathematics performance in many laboratory studies and short-term classroom studies. However, few studies have examined the ways educators may use fading in their own classroom on more accessible platforms that do not require programming experience. Further, few…
Descriptors: Undergraduate Students, College Mathematics, Algebra, Homework