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2021

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Configurations To Superior Environmental Innovation Strategy: A Both–And Approach, Tiziana Russo-Spena, Nadia Di Paola, Aidan O'Driscoll Jan 2021

Configurations To Superior Environmental Innovation Strategy: A Both–And Approach, Tiziana Russo-Spena, Nadia Di Paola, Aidan O'Driscoll

Articles

An effective climate change action involves the critical role that companies must play in assuring the long-term human and social well-being of future generations. In our study, we offer a more holistic, inclusive, both–and approach to the challenge of environmental innovation (EI) that uses a novel methodology to identify relevant configurations for firms engaging in a superior EI strategy. A conceptual framework is proposed that identifies six sets of driving characteristics of EI and two sets of beneficial outcomes, all inherently tensional. Our analysis utilizes a complementary rather than an oppositional point of view. A data set of 65 companies …

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Prediction Of Equivalent Liquid Permeability From Gas Permeability Measurements: A Recurrent Neural Network Approach, Husam Alkinani, Abo Taleb Al-Hameedi, Shari Dunn-Norman Jan 2021

Prediction Of Equivalent Liquid Permeability From Gas Permeability Measurements: A Recurrent Neural Network Approach, Husam Alkinani, Abo Taleb Al-Hameedi, Shari Dunn-Norman

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

One of the most vital reservoir properties is permeability. It is usually measured using core samples with two major measurement methods: using gas or using liquid. The purpose of this work is to use a data-driven recurrent neural network model to estimate the equivalent liquid permeability based on gas permeability. By using this model, the equivalent liquid permeability can be predicted for the permeability of core samples with rich clay minerals measured using gas (or any core sample that is measured using gas). This will give an alternative way to the currently used method (Klinkenberg method). Core sample data measurements …

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Will Carbon Dioxide Injection In Shale Reservoirs Produce From The Shale Matrix, Natural Fractures, Or Hydraulic Fractures?, Sherif Fakher, Youssef Elgahawy, Hesham Abdelaal, Abdulmohsin Imqam Jan 2021

Will Carbon Dioxide Injection In Shale Reservoirs Produce From The Shale Matrix, Natural Fractures, Or Hydraulic Fractures?, Sherif Fakher, Youssef Elgahawy, Hesham Abdelaal, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Enhanced oil recovery (EOR) in shale reservoirs has been recently shown to increase oil recovery significantly from this unconventional oil and gas source. One of the most studied EOR methods in shale reservoirs is gas injection, with a focus on carbon Dioxide (CO2) mainly due to the ability to both enhance oil recovery and store the CO2 in the formation. Even though several shale plays have reported an increase in oil recovery using CO2 injection, in some cases this method failed severely. This research attempts to investigate the ability of the CO2 to mobilize crude …

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Impact Of Rheology Models On Horizontal Well Polymer Flooding In A Heavy Oil Reservoir On Alaska North Slope: A Simulation Study, Jianqiao Leng, Mingzhen Wei, Baojun Bai, Randall S. Seright, Yin Zhang, David Cercone, Samson Ning Jan 2021

Impact Of Rheology Models On Horizontal Well Polymer Flooding In A Heavy Oil Reservoir On Alaska North Slope: A Simulation Study, Jianqiao Leng, Mingzhen Wei, Baojun Bai, Randall S. Seright, Yin Zhang, David Cercone, Samson Ning

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Polymer rheology can have either a positive or a negative effect on polymer flooding performance under varied circumstances. Many researchers have studied the effect of polymer rheology in a vertical well, but no field scale studies have been conducted to investigate whether polymer rheology is beneficial to polymer flooding in heavy oil reservoirs developed by horizontal wells. In this paper, we conducted a numerical simulation study to examine the effect of HPAM polymer rheology on a polymer flooding pilot, which is the first-ever project conducted on a heavy oil reservoir from Alaska North Slope (ANS) developed by horizontal wells. Three …

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First Ever Polymer Flood Field Pilot To Enhance The Recovery Of Heavy Oils On Alaska's North Slope Pushing Ahead One Year Later, Abhijit Dandekar, Baojun Bai, John Barnes, Dave Cercone, Jared Ciferno, Reid Edwards, Samson Ning, Walbert Schulpen, Randy Seright, Brent Sheets, Dongmei Wang, Yin Zhang Jan 2021

First Ever Polymer Flood Field Pilot To Enhance The Recovery Of Heavy Oils On Alaska's North Slope Pushing Ahead One Year Later, Abhijit Dandekar, Baojun Bai, John Barnes, Dave Cercone, Jared Ciferno, Reid Edwards, Samson Ning, Walbert Schulpen, Randy Seright, Brent Sheets, Dongmei Wang, Yin Zhang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In June 2018 the team embarked on an ambitious project to address the slow development pace of Alaska's 20+ billion barrels heavy oil resource via the first ever polymer flood pilot. Following the successful commencement of the pilot in August 2018, the field demonstration, supporting laboratory experiments and numerical simulation have steadily progressed. A significant amount of valuable data and lessons learned have been collected and are reported in this paper. The ongoing pilot and the research activities is making headway toward the primary objective of validating the use of polymer flooding for extracting heavy oil in Alaska's challenging environment. …

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Preparation Of Green Biosorbent Using Rice Hull To Preconcentrate, Remove And Recover Heavy Metal And Other Metal Elements From Water, Yongbo Dan, Lei Xu, Zhimin Qiang, Huiyu Dong, Honglan Shi Jan 2021

Preparation Of Green Biosorbent Using Rice Hull To Preconcentrate, Remove And Recover Heavy Metal And Other Metal Elements From Water, Yongbo Dan, Lei Xu, Zhimin Qiang, Huiyu Dong, Honglan Shi

Chemistry Faculty Research & Creative Works

Sodium hydroxide treated rice hulls were investigated to preconcentrate, remove, and recover metal ions including Be2+, Al3+, Cr3+, CO2+, Ni2+, Cu2+, Zn2+, Sr2+, Ag+, Cd2+, Ba2+, and Pb2+ in both batch mode and column mode. Sodium hydroxide treatment significantly improved the removal efficiency for all metal ions of interest compared to the untreated rice hull. The removal kinetics were extremely fast for Co, Ni, Cu, Zn, Sr, Cd, and Ba, which made the treated rice hull a …

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Quantization For Uniform Distributions On Hexagonal, Semicircular, And Elliptical Curves, Gabriela Pena, Hansapani Rodrigo, Mrinal Kanti Roychowdhury, Josef A. Sifuentes, Erwin Suazo Jan 2021

Quantization For Uniform Distributions On Hexagonal, Semicircular, And Elliptical Curves, Gabriela Pena, Hansapani Rodrigo, Mrinal Kanti Roychowdhury, Josef A. Sifuentes, Erwin Suazo

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, first we have defined a uniform distribution on the boundary of a regular hexagon, and then investigated the optimal sets of n-means and the nth quantization errors for all positive integers n. We give an exact formula to determine them, if n is of the form n = 6k for some positive integer k. We further calculate the quantization dimension, the quantization coefficient, and show that the quantization dimension is equal to the dimension of the object, and the quantization coefficient exists as a finite positive number. Then, we define a mixture of two uniform distributions on …

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Lanchester's Equations And Cyberwarfare, George Markowsky, Linda Markowsky Jan 2021

Lanchester's Equations And Cyberwarfare, George Markowsky, Linda Markowsky

Computer Science Faculty Research & Creative Works

In his classic book Aircraft in Warfare, F. W. Lanchester discussed different types of warfare and presented equations, called the Lanchester equations, that can be used to model the results of battles between two forces of different sizes or capabilities. This paper introduces the Lanchester equations and provides a theoretical discussion leading to an analysis of the relative value of increasing the effectiveness of military assets vs. increasing the quantity of those assets. In particular, we show that increasing the effectiveness contributes only linearly to the power of a combatant, but increasing the quantity contributes quadratically. This paper also presents …

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Swill-Tac: Skill-Oriented Dynamic Task Allocation With Willingness For Complex Job In Crowdsourcing, Riya Samanta, Soumya K. Ghosh, Sajal K. Das Jan 2021

Swill-Tac: Skill-Oriented Dynamic Task Allocation With Willingness For Complex Job In Crowdsourcing, Riya Samanta, Soumya K. Ghosh, Sajal K. Das

Computer Science Faculty Research & Creative Works

Allocating tasks to the best-fit candidates is a classical problem in crowdsourcing (CS). Most of the existing approaches assume that the task and candidate knowledge is known in advance and ignore the effect of enrolled candidates' willingness on the CS system's selection decision. For instance, an unwilling candidate assigned to a task may quit without completing it, thus depreciating the utility of the CS platform. In practice, a task or candidate may arrive or leave the CS system dynamically. Moreover, a complex task may be broken into smaller sub-tasks, each requiring a variety of computations and expertise. To overcome these …

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Nodesense2vec: Spatiotemporal Context-Aware Network Embedding For Heterogeneous Urban Mobility Data, Dakshak Keerthi Chandra, Jennifer Leopold, Yanjie Fu Jan 2021

Nodesense2vec: Spatiotemporal Context-Aware Network Embedding For Heterogeneous Urban Mobility Data, Dakshak Keerthi Chandra, Jennifer Leopold, Yanjie Fu

Computer Science Faculty Research & Creative Works

The problem of learning latent representations of heterogeneous networks with spatial and temporal attributes has been gaining traction in recent years, given its myriad of real-world applications. Most systems with applications in the field of transportation, urban economics, medical information, online e-commerce, etc., handle big data that can be structured into Spatiotemporal Heterogeneous Networks (SHNs), thereby making efficient analysis of these networks extremely vital. In this paper, we propose a spatiotemporal context-aware network embedding framework that jointly captures the spatial regularities between objects and the sequential transition patterns of human mobility. First, we model the heterogeneous urban mobility data collected …

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Detection Dns Tunneling Botnets, Bohdan Savenko, Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko, George Markowsky Jan 2021

Detection Dns Tunneling Botnets, Bohdan Savenko, Sergii Lysenko, Kira Bobrovnikova, Oleg Savenko, George Markowsky

Computer Science Faculty Research & Creative Works

Botnets are often used in cyberattacks on network services and individual users, so the ability to detect botnets is very important. Botnets use DNS tunneling to send malicious command-and-control (CC) commands to victims' hosts. Unfortunately, DNS tunneling attacks are very hard to detect. The paper presents a new approach for DNS tunneling botnet detection, which considers all the features and architectural characteristics of botnets. The technique described in this paper is highly efficient at detecting DNS tunneling attacks.

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Efficient Route Selection For Drone-Based Delivery Under Time-Varying Dynamics, Arindam Khanda, Federico Coro, Francesco Betti Sorbelli, Cristina M. Pinotti, Sajal K. Das Jan 2021

Efficient Route Selection For Drone-Based Delivery Under Time-Varying Dynamics, Arindam Khanda, Federico Coro, Francesco Betti Sorbelli, Cristina M. Pinotti, Sajal K. Das

Computer Science Faculty Research & Creative Works

The use of drones can be a valuable solution for the problem of delivering goods for many reasons. In fact, they can be efficiently employed in time-critical situations when there is a traffic jam on the roads, to serve customers in hard-to-reach places, or simply to expand the business. However, due to limited battery capacities and the fact that drones can serve a single customer at a time, a drone-based delivery system (DBDS) aims to minimize the drones' energy usage for completing a route from the depot to the customer and go back to the depot for new deliveries. In …

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Exploring Autoencoder-Based Error-Bounded Compression For Scientific Data, Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello Jan 2021

Exploring Autoencoder-Based Error-Bounded Compression For Scientific Data, Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello

Computer Science Faculty Research & Creative Works

Error-bounded lossy compression is becoming an indispensable technique for the success of today's scientific projects with vast volumes of data produced during the simulations or instrument data acquisitions. Not only can it significantly reduce data size, but it also can control the compression errors based on user-specified error bounds. Autoencoder (AE) models have been widely used in image compression, but few AE-based compression approaches support error-bounding features, which are highly required by scientific applications. To address this issue, we explore using convolutional autoencoders to improve error-bounded lossy compression for scientific data, with the following three key contributions. (1) We provide …

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Optimizing Error-Bounded Lossy Compression For Scientific Data On Gpus, Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello Jan 2021

Optimizing Error-Bounded Lossy Compression For Scientific Data On Gpus, Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello

Computer Science Faculty Research & Creative Works

Error-bounded lossy compression is a critical technique for significantly reducing scientific data volumes. With ever-emerging heterogeneous high-performance computing (HPC) architecture, GPU-accelerated error-bounded compressors (such as CUSZ and cuZFP) have been developed. However, they suffer from either low performance or low compression ratios. To this end, we propose CUSZ+ to target both high compression ratios and throughputs. We identify that data sparsity and data smoothness are key factors for high compression throughputs. Our key contributions in this work are fourfold: (1) We propose an efficient compression workflow to adaptively perform run-length encoding and/or variable-length encoding. (2) We derive Lorenzo reconstruction in …

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Dehors The Record: A Correction Of A Final Jeopardy Question, Thomas E. Baker Jan 2021

Dehors The Record: A Correction Of A Final Jeopardy Question, Thomas E. Baker

FIU Law Review

No abstract provided.

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Laboratory Schools Annual Report, 2020-2021, Laboratory Schools, Illinois State University Jan 2021

Laboratory Schools Annual Report, 2020-2021, Laboratory Schools, Illinois State University

Annual Reports – Laboratory Schools

Illinois State University Laboratory Schools annual report

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Analysis Of Assessments On Secondary Students' Development And Interpretation Of Models, Alaina L. Appley Jan 2021

Analysis Of Assessments On Secondary Students' Development And Interpretation Of Models, Alaina L. Appley

Graduate Research Papers

As districts are making the shift to three-dimensional learning the development of a coherent set of high-quality task-based assessments has been a challenge. For this research I collected and analyzed twelve of my district's assessments over the scientific skill of modeling from grades seven through 12. The analysis involved two tools developed by NGSS and Achieve.org to determine the extent to which the assessments ask students to perform tasks that are driven by phenomena and use the three-dimensional in service of sense-making, the Task Screener and the Framework to Evaluate Cognitive Complexity in Science Assessments. The findings support what …

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Multimodal Learning For Dyslexic Musicians: Practical Applications For Adults, Melissa Mikucki Jan 2021

Multimodal Learning For Dyslexic Musicians: Practical Applications For Adults, Melissa Mikucki

Theses : Honours

Dyslexia affects 15 to 20% of the population according to the International Dyslexia Association. Multimodal media, such as smartphones and tablets, which are capable of presenting varied modes of information (for example, visual, aural, and kinetic), have been shown to aid learning in dyslexic children. Music has been identified as a useful multisensory tool to help educators improve literacy skills in children. However, little research has been done on the impact of dyslexia on a child or adult’s ability to learn and perform music. Few studies have been undertaken that focus solely on dyslexia’s effect on musical ability in children; …

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Imputation, Modelling And Optimal Sampling Design For Digital Camera Data In Recreational Fisheries Monitoring, Ebenezer Afrifa-Yamoah Jan 2021

Imputation, Modelling And Optimal Sampling Design For Digital Camera Data In Recreational Fisheries Monitoring, Ebenezer Afrifa-Yamoah

Theses: Doctorates and Masters

Digital camera monitoring has evolved as an active application-oriented scheme to help address questions in areas such as fisheries, ecology, computer vision, artificial intelligence, and criminology. In recreational fisheries research, digital camera monitoring has become a viable option for probability-based survey methods, and is also used for corroborative and validation purposes. In comparison to onsite surveys (e.g. boat ramp surveys), digital cameras provide a cost-effective method of monitoring boating activity and fishing effort, including night-time fishing activities. However, there are challenges in the use of digital camera monitoring that need to be resolved. Notably, missing data problems and the cost …

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Investigating Self-Efficacy: Early Childhood Teachers’ Understanding Of Self-Efficacy, Dimity Franks Jan 2021

Investigating Self-Efficacy: Early Childhood Teachers’ Understanding Of Self-Efficacy, Dimity Franks

Theses: Doctorates and Masters

Students are experiencing an increased pressure to perform academically at a younger age with reports of the narrowing of curriculum and student disengagement. Current research literature suggests curricula should reflect the increased pressures students are facing. A focus on the social and emotional skills to support student learning is recommended to increase student engagement and enrichment and prepare students for their future. Self-efficacy is one element of social and emotional learning that demands attention. Self-efficacy is considered important for teachers to understand as it can predict how students approach their tasks as well as influence their levels of motivation and …

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An Investigation Into The Efficacy Of Url Content Filtering Systems, Brett Ronald Turner Jan 2021

An Investigation Into The Efficacy Of Url Content Filtering Systems, Brett Ronald Turner

Theses: Doctorates and Masters

Content filters are used to restrict to restrict minors from accessing to online content deemed inappropriate. While much research and evaluation has been done on the efficiency of content filters, there is little in the way of empirical research as to their efficacy. The accessing of inappropriate material by minors, and the role content filtering systems can play in preventing the accessing of inappropriate material, is largely assumed with little or no evidence. This thesis investigates if a content filter implemented with the stated aim of restricting specific Internet content from high school students achieved the goal of stopping students …

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Real-Time Monitoring As A Supplementary Security Component Of Vigilantism In Modern Network Environments, Victor R. Kebande, Nickson M. Karie, Richard A. Ikuesan Jan 2021

Real-Time Monitoring As A Supplementary Security Component Of Vigilantism In Modern Network Environments, Victor R. Kebande, Nickson M. Karie, Richard A. Ikuesan

Research outputs 2014 to 2021

© 2020, The Author(s). The phenomenon of network vigilantism is autonomously attributed to how anomalies and obscure activities from adversaries can be tracked in real-time. Needless to say, in today’s dynamic, virtualized, and complex network environments, it has become undeniably necessary for network administrators, analysts as well as engineers to practice network vigilantism, on traffic as well as other network events in real-time. The reason is to understand the exact security posture of an organization’s network environment at any given time. This is driven by the fact that modern network environments do, not only present new opportunities to organizations but …

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Towards Effective Delivery Of Digital Interventions For Mental And Behavioral Health, Varun Mishra Jan 2021

Towards Effective Delivery Of Digital Interventions For Mental And Behavioral Health, Varun Mishra

Dartmouth College Ph.D Dissertations

The pervasiveness of sensor-rich mobile, wearable, and IoT devices has enabled researchers to passively sense various user traits and characteristics, which in turn have the potential to detect and predict different mental and behavioral health outcomes. Upon detecting or anticipating a negative outcome, the same devices can be used to deliver in-the-moment interventions and support to help users. One important factor that determines the effectiveness of digital health interventions is delivering them at the right time: (1) when a person needs support, i.e., at or before the onset of a negative outcome, or a psychological or contextual state that might …

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The Impending Judicial Regulation Of Artificial Intelligence In The Administrative State, Aram A. Gavoor Jan 2021

The Impending Judicial Regulation Of Artificial Intelligence In The Administrative State, Aram A. Gavoor

GW Law Faculty Publications & Other Works

Artificial Intelligence (AI) algorithms are being deployed in executive branch agencies at a brisk pace and with no executive branch account for their use. The proliferation of AI in government raises civil rights concerns because it has been found—at a general level—to succumb to racial and gender biases when AI algorithms are incompetently or intentionally trained. Policy solutions have been put forth to mitigate the issue of such AI uses in government, some of which are in the process of being implemented. Despite these gains, the political branches of the federal government have limited time to act before their primary …

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Effect Of Alternative Rearing Substrates And Temperature On Growth And Development Of The Cricket Modicogryllus Conspersus (Schaum), G. Ssepuuya, F. Sengendo, C. Ndagire, J. Karungi, K. K.M. Fiaboe, J. Efitre, D. Nakimbugwe Jan 2021

Effect Of Alternative Rearing Substrates And Temperature On Growth And Development Of The Cricket Modicogryllus Conspersus (Schaum), G. Ssepuuya, F. Sengendo, C. Ndagire, J. Karungi, K. K.M. Fiaboe, J. Efitre, D. Nakimbugwe

All Peer-Reviewed Publications

The increasing demand for animal protein in sub-Saharan Africa has led to insects being considered an alternative protein source for food and feed. In Uganda, chicken mash, containing fish meal as the protein source is commonly used to rear crickets. However, fishmeal is an expensive protein source that is also human food. This study therefore aimed at establishing an alternative preferred (consumed in the highest quantity) plant leaf diet for raising the Modicogryllus conspersus cricket, and the most suitable temperature for hatchability and egg development. The effect of (a) three diets (cassava leaves + cocoyam leaves + milk weed leaves; …

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Availability And Use Of Audio-Visual Materials For Teaching Mathematics At The Senior Secondary School In Ibadan, South-West Local Government, Oyo State, Hajarat Oyiza Abubakar, Jemilat Iyabo Arilesere, Shadrack Adejare Oluranti Jan 2021

Availability And Use Of Audio-Visual Materials For Teaching Mathematics At The Senior Secondary School In Ibadan, South-West Local Government, Oyo State, Hajarat Oyiza Abubakar, Jemilat Iyabo Arilesere, Shadrack Adejare Oluranti

Library Philosophy and Practice (e-journal)

No abstract provided.

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Scientometric Mapping Of Defence Life Science Journal, Neha Kumari Teli, Naveen Chaparwal, Dr. P. S. Rajput Jan 2021

Scientometric Mapping Of Defence Life Science Journal, Neha Kumari Teli, Naveen Chaparwal, Dr. P. S. Rajput

Library Philosophy and Practice (e-journal)

This paper analyzes scientometric mapping of 178 articles which was published in the Defence Life Science Journal. 14 issues from 4 volumes during 2016-2019 have been considered for the current study. To analysis the publication year of the articles to know authorship pattern to identify how many single and multiple author contribute to know how many pages in maximum articles to discuss top 10 cited articles to identify author productivity degreeof collaboration; collaboration index: all these are to mainly discussed in the research. This study reveals that out of 178 publications 5(2.8%) paper contributed by single author and rest of …

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Publication Pattern Of Ifla Journal (2013-2019): A Bibliometric Assessment, Prerna Singh, Harish Chander Jan 2021

Publication Pattern Of Ifla Journal (2013-2019): A Bibliometric Assessment, Prerna Singh, Harish Chander

Library Philosophy and Practice (e-journal)

The present study evaluates the publication trends of IFLA Journal for the period 2013-2019. Using bibliometric techniques 189 articles of seven volumes of the source journal were examined in terms to identify chronological distribution, authorship pattern and gender distribution, mapping of subjects, types of document cited, ranking of authors etc. The results highlight that majority of contributions have been made by female authors and huge amount of authors were affiliated to the universities. Most of the contributed articles were research papers and US is the top contributor among others. The bibliometric assessment provides the picture of growth of journal in …

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Indian Contribution In Animal Behaviour Research: A Scientometric Study, Surulinathi .. M Asst.Professor, Rajkumar N Research Scholar, Jayasuriya T Mlis, Rajagopal T Assistant Professor Jan 2021

Indian Contribution In Animal Behaviour Research: A Scientometric Study, Surulinathi .. M Asst.Professor, Rajkumar N Research Scholar, Jayasuriya T Mlis, Rajagopal T Assistant Professor

Library Philosophy and Practice (e-journal)

The study analysed the characteristics of articles published by the Indian Scientists in the field of Animal Behaviour, a total 10030 Publications retrieved from the Scopus online database were analysed. There were as many as 120 countries actively engaged research with Indian researchers, which produced 10,030 publications during the study period. The most productive and the highest number of Collaboration with the United States of America (844), followed by Next the UK with 253, Germany (184), Australia (114), Japan (111) and Saudi Arabia (107). Among these institutions, Panjab University, Punjab topped in the list with 431 publications (57 H-Index) …

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Evolving Visual Arts’ Faculty Pedagogical Skills Through Technology Integration In Higher Education, Nimra Akram Miss, Syeda Hina Batool Dr, Tauseef Hussain Mr, Muhammad Safdar, Shahid Hussain Mr Jan 2021

Evolving Visual Arts’ Faculty Pedagogical Skills Through Technology Integration In Higher Education, Nimra Akram Miss, Syeda Hina Batool Dr, Tauseef Hussain Mr, Muhammad Safdar, Shahid Hussain Mr

Library Philosophy and Practice (e-journal)

This study is about the current status of technology’s usage by visual arts’ faculty members to enhance their pedagogical skills. It explores the impact of using technology in visual arts and the constraints in its integration. Researchers used qualitative research design to conduct this study. Data was collected, through semi-structured interviews, from faculty working in painting department of four institutions of Lahore, Pakistan. The findings of the study showed that faculty members were using technology for different purposes such as for art making, research and communications. However, at the same time, the use of technology was limited due to various …

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