The Impact of Expertise on Query Formulation Strategies During Complex Learning Task Solving: A Study with Students in Medicine and Computer Science

Author(s):  
Cheyenne Dosso ◽  
Lynda Tamine ◽  
Pierre-Vincent Paubel ◽  
Aline Chevalier
Author(s):  
Feng-Qi Lai ◽  
Timothy J. Newby

<span>The present study compared the impact of different categories of graphics used within a complex learning task. One hundred eighty five native English speaking undergraduates participated in a task that required learning 18 Chinese radicals and their English equivalent translations. A post-test only control group design compared performance differences following training between 5 groups of participants (control, concrete verbal imagery information, single static graphics, multiple gradient static graphics, and animated graphics) on both immediate and 4-week retention tests. Data analysis indicated all graphic groups significantly outperformed the control group immediately following training. A 4-week delayed test showed those originally receiving multiple gradient static graphics significantly outperformed all other groups except those receiving the animated graphics. Implications are discussed based on cognitive load and the cognitive theory of multimedia learning.</span>


2020 ◽  
Vol 20 (2) ◽  
pp. 1-25 ◽  
Author(s):  
Adnan Ahmad ◽  
Furkh Zeshan ◽  
Muhammad Salman Khan ◽  
Rutab Marriam ◽  
Amjad Ali ◽  
...  

1956 ◽  
Vol 27 (3) ◽  
pp. 333 ◽  
Author(s):  
David S. Palermo ◽  
Alfred Castaneda ◽  
Boyd R. McCandless

Author(s):  
Ioan DZITAC

Membrane Computing is a branch of Computer Science initiated by<br />Gheorghe Păun in 1998, in a technical report of Turku Centre for Computer Science<br />published as a journal paper ("Computing with Membranes" in Journal of Computer<br />and System Sciences) in 2000. Membrane systems, as Gheorghe Păun called the<br />models he has introduced, are known nowadays as "P Systems" (with the letter P<br />coming from the initial of the name of this research area "father").<br />This note is an overview of the impact in ISI WoS of Gheorghe Păun’s works, focused<br />on Membrane Computing and P Systems field, on the occasion of his 65th birthday<br />anniversary.


Author(s):  
Henry Oinas-Kukkonen ◽  
Jouni Similä ◽  
Petri Pulli ◽  
Harri Oinas-Kukkonen ◽  
Pentti Kerola
Keyword(s):  

2020 ◽  
Vol 214 ◽  
pp. 03010
Author(s):  
Chung-Lien Pan ◽  
Xianghui Chen ◽  
Mei Lin ◽  
Zhuocheng Cai ◽  
Xiaolin Wu

In recent years, the innovation and breakthrough of digital technology have brought great convenience to the economic development of various sectors and People’s daily life, especially in the field of financial services. To explore the impact of digital technology on the financial industry, this paper searched 285 papers based on Web of Science (WoS) and conducted a systematic scientific metrology and literature review, providing a research front for future research. According to the research papers published between 1984 and 2020, the analysis results of co-citation and co-cited by sources, disciplines, and keywords show that in recent years, the publishing industry in this field has developed rapidly in various countries, and the research field involves such disciplines as business economics, computer science, social science, and interdisciplinary application. According to the research papers published between 1984 and 2020, the analysis results of co-citation and co-cited by sources, disciplines, and keywords show that in recent years, the publishing industry in this field has developed rapidly in various countries, and the research field involves such disciplines as business, finance; economics; computer science; social science and interdisciplinary application. Besides, American, Chinese and British institutions are also good at hosting such interdisciplinary work. And different types of keywords present important interactions in the visualization: (a) digital-based innovation, (b) big data and regulation, (c) Internet finance and financial innovation, (d) financial inclusion, (e) digital finance and risk management, and (f) mobile payment.


Author(s):  
Jaime Lester

Sparked by a series of national campaigns to increase interest in computer science, computer science departments are inundated with students who are interested in learning how to program. Despite the interest, introductory computer science course have relatively low completion rates (approximately 55% at Mason) and high rates of academic integrity violations. In response to this environment, the Computer Science department at Mason received an external grant to redesign their introductory programming courses to a self-paced, flipped format. Implementation began in Fall 2015 with a quasi-experimental methodology that tracks students from an experimental course and a control group (those who took more traditional introductory CS courses) over the course of the semester. Data collected includes grades on assignments, self-report surveys, and classroom observations.  The purpose of this study is to examine the impact of a self-paced, flipped curricular design in an introductory experiential computer science course on the immediate (in course) completion.   In this short lightning talk, we will present data from student surveys and classroom observations identifying any difference across the control and experimental groups. Preliminary results identify a significant increase in student completion upwards of a 20% difference across the groups. In addition to increasing knowledge of the impact of self-paced courses on student retention and success in computer science, we offer an alternative method to collect data on classroom observations via the Real-time Observation Classroom Application (ROCA). ROCA allows for efficient data collection and comparison of specific pedagogies to student engagement measures.  


2014 ◽  
Vol 70 ◽  
pp. 1-8 ◽  
Author(s):  
Hsien-Tsai Wu ◽  
Po-Chun Hsu ◽  
Chih-Yuan Lee ◽  
Hou-Jun Wang ◽  
Cheuk-Kwan Sun

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