scholarly journals A Hands-On, Active Learning Approach to Increasing Manufacturing Knowledge in Engineering Students

2020 ◽  
Author(s):  
Jay Goldberg ◽  
David Rank
Keyword(s):  
Active Learning ◽  
Engineering Students ◽  
Learning Approach ◽  
Hands On ◽  
Manufacturing Knowledge

scholarly journals TLS aimed to stimulate the attainment of a metacognitive strategy on kinematics models, within a cooperative learning approach

2015 ◽  
Vol 37 (2) ◽  
pp. 2503-1-2503-9
Author(s):  
Alicia Muriel Montecinos
Keyword(s):  
Active Learning ◽  
Cooperative Learning ◽  
Undergraduate Students ◽  
Engineering Students ◽  
Metacognitive Strategy ◽  
Learning Approach ◽  
Learning Approaches ◽  
Learning Sequence ◽  
Teaching Learning ◽  
Positive Results

<p>This manuscript proposes a teaching-learning sequence (or TLS) for undergraduate students with prior calculus background about kinematics models, based on metacognition and cooperative learning. It aims to help them to acquire a well-structured, simple and short strategy to check their graphs of position, velocity and acceleration, in which the method is based on derivatives. It may be used in courses addressed with traditional methods, but it is designed for active learning approaches. This TLS was twice piloted, mainly with sophomore engineering students, having positive results, and it is offered as a contribution for the growing international repository of physics TLSs.</p>

Using Hands-On Physical Computing Projects to Teach Computer Programming to Biomedical Engineering Students

2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Trevor Ham ◽  
S. Cyrus Rezvanifar ◽  
Vineet S. Thomas ◽  
Rouzbeh Amini
Keyword(s):  
Active Learning ◽  
Programming Languages ◽  
Biomedical Engineering ◽  
Engineering Students ◽  
Computer Programming ◽  
Low Cost ◽  
Project Based Learning ◽  
Physical Computing ◽  
Skill Sets ◽  
Hands On

Rapid advancements in the multidisciplinary field of biomedical engineering (BME) require competitive engineers with skill sets in a broad range of subjects including biology, physiology, mechanics, circuits, and programming. Accordingly, such a need should be reflected in the training of BME students. Among those skills, computer programming is an essential tool that is used in a wide variety of applications. In this paper, we have provided our experience in incorporating project-based learning, a promising approach in active learning, for teaching computer programming to BME students. We describe a low-cost method for using physical, hands-on computing that directly relates to BME. Additionally, we detail our efforts to teach multiple programming languages in one semester and provide a detailed analysis of the outcomes. We also provide basic materials for other instructors to adapt to fit their own needs.

Peningkatan Hasil Belajar Fisika Melalui Pendekatan Numbered Head Together Dengan Pemberian Reward di SMP Negeri 5 Kota Jambi

2012 ◽  
Vol 1 (1) ◽  
Author(s):  
Delismar Delismar
Keyword(s):  
Action Research ◽  
Active Learning ◽  
Learning Outcomes ◽  
Learning Process ◽  
Learning Outcome ◽  
Class Action ◽  
Learning Approach ◽  
Physics Learning ◽  
Lecture Method ◽  
Student Observation

In classical learning approach, conventional lecture method is commonly used by teachers in implementing learning process in classes.  The teacher becomes the main source of learning.  The current student’s habit that tends to be passive and individualistic resulted in a passive and monotone learning.      To overcome these problems, I was interested to implement the model of numbered heads together in learning Physics in the Class VII B of SMP Negeri 5 Kota Jambi. The purpose of this learning approach is to enable students to develop cooperative skill and more active learning of physics and to improve learning results. This research is a class action research, which were performed in two cycles.  All students’ activities in the class were observed and recorded in observation sheet, consisting of teacher observation sheet and student observation sheet. To find out the learning outcomes, formative test was performed using a written instrument form.  The results show the increase of students’ discipline, cooperation, liveliness, timeliness in learning Physics.  In addition, the learning model also increases the students’ learning outcomes. The average learning results increased to 75.38 (increase 3.25 points).  To conclude, the implementation of Number Head Together increase students’ discipline, cooperation, activities, and timeliness.  The model also increase the Physics learning outcome of student in SMP Negeri 5 Kota  Jambi.

An Active Learning Approach to Teaching Social Determinants of Health

2020 ◽  
Vol 6 (4) ◽  
pp. 266-273
Author(s):  
Jeanita W. Richardson
Keyword(s):  
Active Learning ◽  
Learning Style ◽  
Social Determinants ◽  
Learning Approach ◽  
Learning Style Preferences ◽  
Open Discussion ◽  
Approach To Teaching ◽  
The Individual ◽  
Style Preferences ◽  
The Impact

This active learning exercise is designed to deconstruct the impact of social determinants through the assumption of randomly selected personas. As an active learning exercise, it provides opportunities for discussion, problem solving, writing, and synthesis, while incorporating multiple learning style preferences. Part 1 involves assessing the individual social determinants at work. Part 2 involves exploring ways said determinants can enhance community health through collaboration. Assumption of personas unlike one’s own facilitates an open discussion of social position and ranges of factors influential to health without potentially evoking a sense of defensiveness associated with personal privilege (or the lack thereof).

A Temporal Dependency Based Multi-modal Active Learning Approach for Audiovisual Event Detection

2017 ◽  
Vol 48 (2) ◽  
pp. 709-732 ◽  
Author(s):  
Patrick Thiam ◽  
Sascha Meudt ◽  
Günther Palm ◽  
Friedhelm Schwenker
Keyword(s):  
Active Learning ◽  
Event Detection ◽  
Learning Approach

scholarly journals An active learning approach for clustering single-cell RNA-seq data

2021 ◽  
Author(s):  
Xiang Lin ◽  
Haoran Liu ◽  
Zhi Wei ◽  
Senjuti Basu Roy ◽  
Nan Gao
Keyword(s):  
Active Learning ◽  
Single Cell ◽  
Learning Approach ◽  
Rna Seq
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