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Chen, Pin-Hwa – Active Learning in Higher Education, 2021
There is a need to better understand note-taking in lectures. Specifically, how in-class and after-class note-taking strategies are used, whether the use of in-class and after-class note-taking strategies varies by gender, year of study and field of major/discipline and to explore the connection between the use of in-class note-taking strategies…
Descriptors: Notetaking, Learning Strategies, Lecture Method, Undergraduate Students
Klymchuk, Sergiy; Thomas, Mike; Alexander, Jordan; Evans, Tanya; Gulyaev, Sergei; Liu, William; Novak, Julia; Murphy, Priscilla; Stephens, Jason; Zaliwski, Andrew – Teaching and Learning Research Initiative, 2020
In 2012 the New Zealand Government identified as a priority the need to address the undersupply of students studying STEM subjects for delivering its Business Growth Agenda. Low engagement and retention rates in STEM subjects contribute to the shortage of STEM graduates, producing a negative impact on the New Zealand economy. This Teaching and…
Descriptors: Problem Solving, Learner Engagement, Intuition, Self Efficacy
Ban, Sun Young – ProQuest LLC, 2019
In the US, an estimated 25% of four-year college students and up to 80% of community college students suffer from a moderate to high degree of mathematics anxiety (MA) (Chang & Beilock, 2016). Many scholars have noted that mathematics anxiety can be regarded as a significant factor in determining a student's achievement and mathematics related…
Descriptors: Teaching Methods, Cognitive Style, Mathematics Anxiety, Mathematics Instruction
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Lyons, Minna; Limniou, Maria; Schermbrucker, Ian; Hands, Caroline; Downes, John J. – Psychology Learning and Teaching, 2017
Previous research has found that the flipped classroom (i.e., learning prior to the lecture, and using the lecture time for consolidating knowledge) increases students' deep learning, and has an association with improved grades. However, not all students benefit equally from flipping the classroom, and there may be important individual differences…
Descriptors: Psychology, Undergraduate Students, Behavioral Objectives, Blended Learning
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Sahin, Melek Gülsah; Teker, Gülsen Tasdelen; Güler, Nese – Journal of Education and Practice, 2016
This study analyses peer assessment through many facet Rasch model (MFRM). The research was performed with 91 undergraduate students and with lecturer teaching the course. The research data were collected with holistic rubric employed by 6 peers and the lecturer in rating the projects prepared by 85 students taking the course. This study analyses…
Descriptors: Peer Evaluation, Peer Groups, Item Response Theory, Undergraduate Students
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Cox, Charles T., Jr. – Journal of College Science Teaching, 2015
A modified model of cooperative learning known as the GIG model (for group-individual-group) designed and implemented in a large enrollment freshman chemistry course. The goal of the model is to establish a cooperative environment while emphasizing greater individual accountability using both group and individual assignments. The assignments were…
Descriptors: Accountability, Chemistry, Class Activities, Teamwork
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Zheng, Robert – Journal of Educational Computing Research, 2010
This study focuses on the effects of situated learning on students' knowledge acquisition by investigating the influence of individual differences in such learning. Seventy-nine graduates were recruited from an educational department and were assigned to situated learning and traditional learning based on a randomized block design. Results…
Descriptors: Individual Differences, Conventional Instruction, Teacher Education Programs, Social Influences
Rose, David H.; Harbour, Wendy S.; Johnston, Catherine Sam; Daley, Samantha G.; Abarbanell, Linda – Journal of Postsecondary Education and Disability, 2006
Authored by the teaching staff of T-560: Meeting the Challenge of Individual Differences at the Harvard Graduate School of Education, this article reflects on potential applications of universal design for learning (UDL) in university courses, illustrating major points with examples from T-560. The article explains the roots of UDL in cognitive…
Descriptors: Learning Theories, Textbooks, Distance Education, Discussion Groups
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection