Lecture Capture in Engineering Classes: Bridging Gaps and Enhancing Learning
نویسندگان
چکیده
This paper explores the use of lecture capture in Engineering classes to provide students with the opportunity to enhance their understanding of the course content. Students were asked to provide feedback on what they perceive the benefits and the drawbacks of lecture capture to be. The results show that the students consider lecture capture an effective tool to help them succeed in the course. The videos are available to them 24 hours a day, seven days a week thus allowing students to bridge the gap between what they have understood in the formal class setting and what they are able to better understand after reviewing the videos in a more informal, relaxed environment. In addition, most of the students indicated that the availability of the videos did not encourage them to skip or miss any classes. The main drawback was associated with technical difficulties which resulted in some wasted time.
منابع مشابه
Bridging the Gap : Computer - Aided Engineering for Energy Security and Environmental Protection
Engineers use computational tools to address a variety of practical problems. Often, the role of computer aided engineering is to capture the opportunities for wealth creation, as well as societal and environmental impacts through integrating, otherwise disconnected, piece of knowledge and closing the gap between theoretical developments and corresponding applications. The present article repor...
متن کاملComparison of the effect of lecture and blended teaching methods on students’ learning and satisfaction
Introduction: Blended learning, a new approach in educational planning, isdefined as an applying more than one method, strategy, technique or media in education. Todays, due to the development of infrastructure of Internet networks and the access of most of the students, the Internet can be utilized along with traditional and conventional methods of training. The aim of this study was to compar...
متن کاملMachine learning algorithms in air quality modeling
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
متن کاملEnhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining
This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...
متن کاملOptimization Task Scheduling Algorithm in Cloud Computing
Since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.Cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. Presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. This rese...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Educational Technology & Society
دوره 16 شماره
صفحات -
تاریخ انتشار 2013