scholarly journals Are the Sequential Interactive Effects of Two Active Learning Strategies Synergistic? The Use of the Socratic Method of Questioning and Ability Based Learning Techniques to Enhance Student Learning

Author(s):  
La Shun L. Carroll

If students do not fully apply themselves, then they may be considered responsible for the result of being inadequately prepared. +- Nevertheless, student outcomes are more likely to reflect a combination of both effort and systematic problems with overall course architecture. Deficiencies in course design result in inadequate preparation that adversely and directly impacts students’ productivity upon entering the workforce.  Such an impact negatively influences students' ability to maintain gainful employment and provide for their families, which inevitably contributes to the development of issues concerning their psychological well-being.  It is well-documented that incorporating active learning strategies in course design and delivery can enhance student learning outcomes.  Despite the benefit of implementing active learning techniques, rarely in the real world will it be possible for techniques to be used in isolation of one another.  Therefore, the purpose of this proposed study is to determine the interactive effects of two active learning strategies because, at a minimum, technique-pairs more accurately represent the application of active learning in the natural educational setting.  There is a paucity of evidence in the literature directed toward investigating the interactive effects of multiple active learning techniques that this study is aimed at filling.  The significance of this research is that, by determining the interactive effects of paired active learning strategies, other research studies on the beneficial effects of using particular active learning technique-pairs will be documented contributing to the literature so that ultimately classroom instruction may be customized according to the determination of optimal sequencing of strategy-pairs for particular courses, subjects, and desired outcomes that maximize student learning.

Author(s):  
Marina Kamenetskiy

The term active learning is also known as “learning by doing”; it is where students are presented with a variety of learning activities that encourages thinking and reflection. Educational leaders recognize the value of promoting active learning in the educational setting and encourage their faculty to apply active learning techniques in their online classrooms to increase learner interest and motivation. This chapter identifies various active learning strategies that can be applied to any discipline in any online course, as well as presents different examples of active learning activities. Active learning strategies can include group work, simulations (role play), and games, in order to build learners' critical thinking, problem-solving, and collaboration skills.


Author(s):  
Kay Gibson ◽  
Carolyn M. Shaw

With the shift in learning objectives that were more focused on the development of skills and processes, new assessment techniques were required to be developed to determine the effectiveness of new active-learning techniques for teaching these skills. In order for assessment to be done well, instructors must consider what learning objective they are assessing, clarify why they are assessing and what benefits will derive from the process, consider whether they will conduct assessments during or after the learning process, and specifically address how they will design solid assessments of active learning best suited to their needs. The various types of assessment for active-learning strategies include written and oral debriefing, observations, peer- and self-assessment, and presentations and demonstrations. In addition, there are several different measurement tools for recording the assessment data, including checklists and student surveys. A final aspect to consider when examining assessment techniques and measurement tools is the construction of an effective rubric. Ultimately, further research is warranted in the learning that occurs through the use of active-learning techniques in contrast with traditional teaching methods, the “portability” of active-learning exercises across cultures, and the use of newer media—such as internet and video content—as it is increasingly incorporated into the classroom.


2020 ◽  
Author(s):  
Kevin De Angeli ◽  
Shang Gao ◽  
Mohammed Alawad ◽  
Hong-Jun Yoon ◽  
Noah Schaefferkoetter ◽  
...  

Abstract Background: Automated text classification has many important applications in the clinical setting; however, obtaining labelled data for training machine learning and deep learning models is often difficult and expensive. Active learning techniques may mitigate this challenge by reducing the amount of labelled data required to effectively train a model. In this study, we analyze the effectiveness of eleven active learning algorithms on classifying subsite and histology from cancer pathology reports using a Convolutional Neural Network (CNN) as the text classification model. Results: We compare the performance of each active learning strategy using two differently sized datasets and two different classification tasks. Our results show that on all tasks and dataset sizes, all active learning strategies except diversity-sampling strategies outperformed random sampling, i.e., no active learning. On our large dataset (15K initial labelled samples, adding 15K additional labelled samples each iteration of active learning), there was no clear winner between the different active learning strategies. On our small dataset (1K initial labelled samples, adding 1K additional labelled samples each iteration of active learning), marginal and ratio uncertainty sampling performed better than all other active learning techniques. We found that compared to random sampling, active learning strongly helps performance on rare classes by focusing on underrepresented classes. Conclusions: Active learning can save annotation cost by helping human annotators efficiently and intelligently select which samples to label. Our results show that a dataset constructed using effective active learning techniques requires less than half the amount of labelled data to achieve the same performance as a dataset that constructed using random sampling.


2020 ◽  
pp. 168-178
Author(s):  
Heba Abdel-Halim

Description: The action research evaluation describes a variety of novel teaching and learning techniques that were incorporated into a medicinal chemistry course. Clinically relevant medicinal chemistry cases were presented to learners complemented with 3D protein visualisation software in lectures. Evaluation: The learning outcome of students was assessed using in-class quizzes, poster session presentations and exams. Students’ marks and post-course surveys were used to assess the newly employed teaching methods. The improvement in student marks complemented the post-course surveys resulted. The majority of students agreed that the course design has improved their understanding of medicinal chemistry in general and helped in relating the course to pharmacy practice. Conclusion: This study suggests that diversifying teaching and learning methods is essential to improved students’ performance and understanding of medicinal chemistry. The integration of clinically relevant medicinal chemistry cases may help students to relate the concepts of drug chemistry, and drug design aspects to pharmacy practice.


Author(s):  
Katherine Elizabeth Bishop-Williams

Abstract: Wicked problems are large, complex problems involving multiple perspectives that present substantial future challenges. These challenges can be overwhelming for learners and pose difficulties in teaching for instructors. Herein a solutions-oriented teaching strategy that amalgamates proven active learning strategies is presented along with a step-by-step guide and materials list. Evidence of student learning is provided. This strategy provides students the opportunity to view complex, wicked problems from multiple perspectives and to visualize their role in future solutions.


2016 ◽  
Vol 15 (2) ◽  
pp. ar22 ◽  
Author(s):  
Emily R. Elliott ◽  
Robert D. Reason ◽  
Clark R. Coffman ◽  
Eric J. Gangloff ◽  
Jeffrey R. Raker ◽  
...  

Undergraduate introductory biology courses are changing based on our growing understanding of how students learn and rapid scientific advancement in the biological sciences. At Iowa State University, faculty instructors are transforming a second-semester large-enrollment introductory biology course to include active learning within the lecture setting. To support this change, we set up a faculty learning community (FLC) in which instructors develop new pedagogies, adapt active-learning strategies to large courses, discuss challenges and progress, critique and revise classroom interventions, and share materials. We present data on how the collaborative work of the FLC led to increased implementation of active-learning strategies and a concurrent improvement in student learning. Interestingly, student learning gains correlate with the percentage of classroom time spent in active-learning modes. Furthermore, student attitudes toward learning biology are weakly positively correlated with these learning gains. At our institution, the FLC framework serves as an agent of iterative emergent change, resulting in the creation of a more student-centered course that better supports learning.


2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Oriza Candra ◽  
Doni Tri Putra Yanto

This study aims to determine the improvement of student learning outcomes in Analyzing Circuits (MRL) subjects in class X TDTL SMK N 1 Padang, by using the active learning strategies type of Everyone is a Teacher Here. This type of research was quasi-experimental. The subjects of the research was class X TDTL with 32 students. The object of the research was active learning strategies type of Everyone Is a Teacher Here. The instrument used was the achievement test by using multiple-choice questions that had been tested for validity and reliability. From the results of the research, data showed the average value of student learning outcomes in the average pretest was 57. While at posttest by applying Active Learning Strategies Everyone is a Teacher Here, it showed an increase of 17.5 points, with an average of 74.5. The learning outcomes were tested by using Gainscore’s formula (g) which obtained 0.337 g with middle score criteria.


2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Fatma Wati

This type of research is a field research (field research) with quantitative approach. This study used an experimental method that is pre-experimental design. The study population was students grade XI MA Siti Mariam, and sampling using sampling saturated. Data analysis techniques in this research is descriptive statistics, normality test, heteroscedasticity test and simple linear regression. The results show that there is active learning strategies influence the type of the great wind blows toward student learning outcomes in the material in the limit of infinite grade XI MA Siti Mariam 2015/2016 school year, as indicated by thitung> t table (6.532> 2.120) and the regression coefficients X amounted to 0.632 states that any type of active learning strategies influence the great wind blows (X) rose unit then learning results in an infinite limit students will increase by 0.632 units. In R2 test known type of active learning strategies the great wind blows has the effect of 73% for improved learning outcomes in infinite limit.                                                                                                  Keywords: influence, active learning, the great wind blows, the limit at infini


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