Developing and Assessing Data Analytics Courses: A Continuous Proposal for Responding to AACSB Standard A5

2019 ◽  
Vol 17 (1) ◽  
pp. 133-141
Author(s):  
Gregory P. Tapis ◽  
Kanu Priya

ABSTRACT Data analytics is receiving increasing emphasis in accounting programs. This emphasis has emerged from both practitioners and accrediting bodies. In April 2018, the Association to Advance Collegiate Schools of Business (AACSB) International released Standard A5, which calls for a more holistic approach to teaching and incorporating data analytics into accounting programs. Specifically, accounting programs are required to focus on students' agility and adaptability as they relate to changes and disruptions in technology. Such characteristics present challenges and opportunities for accounting educators when developing and assessing data analytics in accounting programs. In this paper, we propose using a combination of practitioner involvement and measurements from the psychology literature to create a continuous holistic approach to course assessment and improvement. Specifically, utilizing proxies for adaptability and agility, we propose a methodology for measuring changes in students' agility and adaptability throughout a semester.

2019 ◽  
Author(s):  
ADIL FATHELRAHMAN

<p>This paper investigates application of holistic approach to teaching and assessment and applies selected strategies to measure the effectiveness of such approach using results from teaching <strong>a Decision Support Systems (DSS) Course. Assessment is an integral part of the learning cycle and for any teaching strategy to succeed, teaching should be aligned with assessment strategies.</strong><strong></strong></p> <p><br></p><p>The strategies used in this paper for measurement of <strong>the effectiveness of the holistic approach </strong>are student ratings, self-evaluation, and learning outcome measures.<strong></strong></p>


2019 ◽  
Author(s):  
ADIL FATHELRAHMAN

<p>This paper investigates application of holistic approach to teaching and assessment and applies selected strategies to measure the effectiveness of such approach using results from teaching <strong>a Decision Support Systems (DSS) Course. Assessment is an integral part of the learning cycle and for any teaching strategy to succeed, teaching should be aligned with assessment strategies.</strong><strong></strong></p> <p><br></p><p>The strategies used in this paper for measurement of <strong>the effectiveness of the holistic approach </strong>are student ratings, self-evaluation, and learning outcome measures.<strong></strong></p>


2019 ◽  
Author(s):  
Юлдуз Рахматовна Махмутазимова

В статье раскрыта целостный подход к методам обучения, рольсемьи и детского сада в формировании личности ребенка.The article reveals a holistic approach to teaching methods, the role ofthe family and kindergarten in shaping the child’s personality


2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Brandon Foreman ◽  
India A Lissak ◽  
Neha Kamireddi ◽  
Dick Moberg ◽  
Eric S Rosenthal

2021 ◽  
Author(s):  
Maria Vatshaug Ottermo ◽  
Knut Steinar Bjørkevoll ◽  
Tor Onshus

Abstract Automation of managed pressure drilling (MPD) has a big potential for improving consistency, efficiency, and safety of operations, and is therefore pursued by many actors. While this development mitigates many risk elements, it also adds some related to for example mathematical algorithms and remote access. This work is based on document reviews, interviews, and working sessions with the industry, and adds insight on how risks associated with moving to higher levels of automation of MPD can be mitigated to a level where benefits are significantly larger than the sum of added risks. The work has resulted in many recommendations for the industry, where most were related to testing, verification, and validation of the models and data inputs, as well as meaningful human control and employing a holistic approach when introducing new models. Recommendations were also given to the Petroleum Safety Authority Norway. These were related to missing or inadequate use of standards by the industry, lack of ICT knowledge, and encouraging increased experience sharing. Future work should address how to enable meaningful human control as models become more complex or to a larger extent is based on empirical data and artificial intelligence as opposed to models based on first principles. Human control is important in unexpected situations in which the system fails to act safely. There is also a need to address ICT security issues arising when remote operation becomes more common.


Author(s):  
Herbert Cornelius

For decades, HPC has established itself as an essential tool for discoveries, innovations and new insights in science, research and development, engineering and business across a wide range of application areas in academia and industry. Today High-Performance Computing is also well recognized to be of strategic and economic value – HPC matters and is transforming industries. This article will discuss new emerging technologies that are being developed for all areas of HPC: compute/processing, memory and storage, interconnect fabric, I/O and software to address the ongoing challenges in HPC such as balanced architecture, energy efficient high-performance, density, reliability, sustainability, and last but not least ease-of-use. Of specific interest are the challenges and opportunities for the next frontier in HPC envisioned around the 2020 timeframe: ExaFlops computing. We will also outline the new and emerging area of High Performance Data Analytics, Big Data Analytics using HPC, and discuss the emerging new delivery mechanism for HPC - HPC in the Cloud.


1995 ◽  
Vol 20 (1) ◽  
pp. 20-23 ◽  
Author(s):  
Brenda J. Jacono ◽  
John J. Jacono

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