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Automated Data-Driven Hint Generation in Intelligent Tutoring Systems for Code-Writing: On the Road of Future Research.
Get PDFIntroductory programming is an essential part of the curriculum
in any engineering discipline in universities. However, for many beginning students,
it is very difficult to learn. In particular, these students often get stuck
and frustrated when attempting to solve programming exercises. One way to assist
beginning programmers to overcome difficulties in learning to program is to
use intelligent tutoring systems (ITSs) for programming, which can provide
students with personalized hints of students’ solving process in programming
exercises.
Currently, mostly these systems manually construct the domain models.
They take much time to construct, especially for exercises with very large solution
spaces. One of the major challenges associated with handling ITSs for programming
comes from the diversity of possible code solutions that a student
can write. The use of data-driven approaches to develop these ITSs is just starting
to be explored in the field. Given that this is still a relatively new research
field, many challenges are still remained unsolved. Our goal in this paper is to
review and classify analysis techniques that are requested to generate datadriven
hints in ITSs for programming. This work also aims equally to identify
the possible future directions in this research field
Maximum Loadability Enhancement with a Hybrid Optimization Method
Get PDFincrease in demand in addition to constraint in building new power plants. The economics and environmental constraints to build new power plants and transmission lines have led the system to operate very close to its stability limits. Hence, more researches are required to study the important requirements to maintain stable voltage condition and hence develop new techniques in order to address the voltage stability problem. As an action, most Reactive Power Planning (RPP) objective is to minimize the cost of new reactive resources while satisfying the voltage stability constraints and labeled as Secured Reactive Power Planning (SCRPP). The new alternative optimization technique called Adaptive Tumbling Bacterial Foraging (ATBFO) was introduced to solve the RPP problems in the IEEE 57 bus system. The comparison common optimization Meta-Heuristic Evolutionary Programming and original Bacterial Foraging techniques were chosen to verify the performance using the proposed ATBFO method. As a result, the ATBFO method is confirmed as the best suitable solution in solving the identified RPP objective functions
AeU's Flexible MBA fits study around your lifestyle
Get PDFThe thought of studying while managing the demands of a multitude work from business and family can appear daunting, if not possible
Second Language and background language influences on the oral production of Spanish words and phrases as a third language among 5-6 year old students
Get PDFThis study aimed to discover the possible factors that contribute to the oral production of words
and phrases among 5-6 year old kindergarten students learning Spanish as third language in an
international school in Kuala Lumpur, Malaysia. Six subjects were involved in the study with
three different mother tongues; namely, of Chinese, Hindi and Indonesian language (Bahasa
Indonesia) and English was the medium of instruction in school. The study was conducted
over a period of one school year and specifically examined the role of English proficiency (L2)
in the production of English-Spanish cognates, the role of mother tongue (L1) and crosslinguistic
awareness in the production of Spanish words and phrases. Also examined were the
influence of parental support and role of songs on the oral production Spanish words and
phrases.
Data was collected through in-depth interviews with the young subjects and observations of
Spanish teaching-learning sessions which were videotaped. Questionnaire were passed on to
parents followed by telephone interviews to corroborate information about the home
environment of subjects, types and frequency of support. An interview was also conducted
with the Spanish teacher to obtain a more in-depth understanding of the behaviours of subjects
during class sessions.
The results of the study showed that among the different mother tongues, subjects with Hindi
as their mother tongue (L1) produced the most number of Spanish words and phrases which
may be attributed to Spanish and Hindi originating from the same language branch. In terms
of the English-Spanish cognates that were produced, generally subjects who were proficient in
English (L2) produced more cognates compared to subjects who were less proficient (based on
WIDA scores) with the exception of one subject. Also, subjects were able to produce more
Spanish phrases and words that were introduced using songs. Subjects who demonstrated
cross-linguistic awareness, especially in terms of awareness of the similarities between learning English and Spanish produced more Spanish words and phrases. However, parental support
and support outside the class did not influence the production of Spanish words and phrases.
The findings of the study support the Typological Primacy Model, L2 Status Factor,
Developmentally Moderated Transfer Hypothesis and Cumulative Enhancement Model to a
certain degree.
Exposing children to a third language at such a young age is a valuable endeavor. It is proven
that younger students can learn multiple languages at one time when given the opportunity
Towards Integrated Model of Big Data (BD), Business Intelligence (BI) and Knowledge Management (KM)
Get PDFThe emerging of Big Data (BD) in recent years as the latest development of Business Intelligence (BI) and Business Analytics (BA), representing new and unusual sources of data (e.g. social media, sensors), advanced technologies (e.g., Hadoop architectures, visualisation, predictive analytics), and new requirements of user skills (e.g., data scientists). This has a major impact on the fundamental of the traditional Business Intelligence (BI) and Knowledge Management (KM) processes.
How does this trend square with the way we conceptualize knowledge as intellectual capital and value it? Knowledge management and business intelligence have both recognized data and information though generally as non-value precursors of valuable knowledge assets. In establishing the conceptual foundation of big data as an additional valuable assets related to knowledge, we are making a case for bringing big data and business intelligence into the KM fold. In developing this theoretical foundation, concepts such as tacit and explicit knowledge, learning, and others can be deployed to increase understanding. As a result, we believe we can help the field better understand the idea of big data and how it relates to knowledge assets as well as providing a justification for bringing knowledge management tools and processes to bear on big data and business intelligence, a move towards an integrated conceptual model of big data (BD), business intelligence (BI) and knowledge management (KM).
KM is the continuum of BD as the main information deposit, and BI is an activity necessary for the mobilization of the information resource. Thus it necessitates the collective intelligence to be structured in the context of BI to convert data into actionable knowledge for strategic advantage relative to the various organizational environments. This paper will contribute to the creation of such a model that is the focus of on-going research.
The aim is to propose an integrated BDBIKM model that represents the processing of raw data and its transformation into contextual knowledge that can be adopted to add specific business value in practice and innovate knowledge to provide unique competitive advantage
Digital Education Transforming Higher Education.
No full textNATIONAL NATIONALMANAGEMENT MANAGEMENT ACCOUNTING ACCOUNTINGCONFERENCE CONFERENCE Session pm Cyber Security, Risk Management, Governance and Compliance Introduction by Chairman Cyber Security Cyber Threat Management Mr. Vishal M Jain Partner Deloitte India Risk Management in the Digital Economy Mr. Uantchern Loh CEO, Asia Pacific Black Sun Plc, Singapore Governance, Risk and compliance in a digital world. Mr. Sujit Christy Director Layers7 SeguroConsultoria Private Limited National Cyber Security Mr. John Tan Wee Keong Project Manager S T Electronics (Info Security Pvt Ltd) Singapore Q&A Lunch Session pm Digital Education and Skills Development Introduction by Chairman Digital Education Transforming Higher Education to be a Knowledge Economy Prof. Dr. John Arul Phillips Dean Asia e University Transitioning to Digital Potentials and Practices in Sri Lankan Higher Education Prof. Shironica P. Karunanayaka Professor in Educational Technology The Open University of Sri Lanka Digital Skill Development and Workforce Transformation Prof Ajantha Dharmasiri President Institute of Personnel Management (IPM) and Director PIM Q&A Session pm Panel Discussion Digital Transformation Building the Next Generation Accountants Chairman / Moderator Mr. Dinesh Weerakkody Advisor Ministry of National Policies and Economic Affairs Panelists Prof. Samanthi Senaratne Professor Dept. of Accounting University of Sri Jayewardenepura Mr. Adrian Perera ACCA UK (Sri Lanka Branch) Prof. Lakshman R. Watawala President CMA Sri Lanka Mr. Lasantha Wickremasinghe President CA Sri Lanka Mr. Anuj Jain Senior Vice President (Finance) Lanka IOC PLC Mr. Ronnie Peiris Group Finance Director John Keells Holdings PLC Mr. Asite D.B. Talwatte Chairman Management Systems (Pvt) Limited Mr. Uantchern Loh CEO Black Sun Plc, Singapore Strategy & Integrated Thinking South Africa Mr. Graham Terry, Consultant Mr. Vishal M Jain, Partner Deloitte India Dato.AhmadFarisYahaya, Former Managing Director CyberviewSdnBhd Malaysia Closing Remarks Tea Meant For: CMA Members, CEOs, Directors, CFOs, Senior Managers, Management Accountants, Financial Accountants, Financial Analysts, Professionals, Academics and Government Officials. Investment : Members Rs. 17,500/NON Members Rs. 19,500/ The Institute of Certified Management Accountants of Sri Lanka No. 29/24, Visakha Private Rd
Analisis Linguistik Terhadap Penggunaan Media Sosial Dalam kalangan Pelajar di IPTS
Get PDFPenggunaan aplikasi WhatsApp Group merupakan salah satu media komunikatif yang kian popular dalam era teknologi kini. Kajian ini bertujuan untuk meninjau penggunaan bahasa WhatsApp Group dalam kalangan pelajar program Ijazah Sarjana Muda Pendidikan (Pengajaran Bahasa Melayu Sekolah Rendah) di Asia e University. Korpus kajian terdiri daripada teks WhatsApp Group autentik yang dikumpul daripada seramai 40 orang pelajar PBMSR Ambilan September 2013 kumpulan pengkhususan Bahasa Melayu (BM). Aspek yang menjadi tumpuan kajian ialah penggunaan kata dan ciri-ciri umum linguistik bahasa WhatsApp Group berkenaan. Hasil kajian mendapati bahawa bentuk kata yang paling popular dalam teks WhatsApp Group ialah bentuk singkatan dan percampuran bahasa. Kata singkatan ini diterjemahkan ke dalam pelbagai bentuk melalui beberapa proses yang berbeza. Misalnya, pengguguran vokal atau konsonan, pengguguran vokal dan konsonan, pengguguran suku kata, penggunaan homofon huruf, angka atau simbol bagi menggantikan sesuatu kata dan penggunaan huruf awal. Kajian juga menunjukkan berlakunya penggunaan dialek dalam interaksi WhatsApp Group antara pelajar tersebut. Penemuan kajian turut mendapati terdapat penggunaan ciri linguistik yang ketara. Pengguna WhatsApp Group lebih mengutamakan kandungan mesej daripada bentuk komunikasi lantas menyebabkan wujudnya bentuk bahasa “baharu” yang melibatkan unsur pragmatik
The Relationship Between Learning Styles and Multiple Intelligences among Malaysian Medical and health Sciences Students.
Get PDFMost studies on learning styles (LS) and multiple intelligences (MI) have predominantly been conducted in a single institution. Comparative studies involving
two or more medical schools are currently lacking and the correlation between LS and MI have not been sufficiently established. This study was a multidisciplinary and multi
institutional study on the LS and MI of medical and health sciences students from three Malaysian universities using the VARK questionnaire and MI Inventory respectively. Differences in the mean VARK subscale scores and mean MI domain scores
according to gender, race, first language, family income and academic achievements were analysed while age and the pre-university cumulative grade point average (CGPA)
were correlated to these mean scores. The mean VARK subscale scores were also correlated to the mean MI domain scores. The most powerful indicator of LS and MI
were determined using a path analysis. Both interdisciplinary and inter-institutional differences in LS and MI were observed. Overall, a majority of the students were unimodal learners. The most common type of learners was the reading/writing type whereas the kinesthetic subscale had the highest mean score. Regardless of disciplines and universities, all cohorts of students had the highest mean score in the intrapersonal domain and the lowest mean score in the verbal/linguistic domain. All demographic factors played a role in the learning preferences and MI to a varying extent, except for family income, which had no influence on LS. Learning preferences did not differ significantly between high and non-high achievers. However, statistical significant differences in the mean existential,kinesthetic and interpersonal domain scores existed between high and non-high achievers.
Path analysis showed that the most powerful predictor of LS and MI was the first language and age respectively (combining all medical and health sciences students from
University A), and gender and family income respectively (combining all Year 1 medical students from all three universities). A statistical significant correlation
between all VARK subscales with at least one or more MI domains existed. Interestingly, none of the VARK subscales correlated to the interpersonal domain.
The presence of interdisciplinary, inter-institutional and individual differences implies that different teaching approaches are necessary in medical and health sciences education. Although most learners preferred a unimodal approach in this study, multi sensory learning should be encouraged as it helps students to learn better and enhances memory retention. A consistently low verbal/linguistic score implies that there is a need
to help medical and health sciences students to improve their English language proficiency whereas a lack of correlation between the interpersonal domain with any of
the VARK subscale implies that non-conventional learning methods such as interprofessional learning or cooperative learning are necessary for the development of interpersonal skills among these students
Knowledge Management System Model for Learning Organisations
Get PDFBased on the literature of knowledge management (KM), this paper reports on the progress of developing a new knowledge management system (KMS) model with components architecture that are distributed over the widely-recognised socio-technical system (STS) aspects to guide developers for selecting the most applicable components to support their KM practice in learning organisations (LO). This new model will bridge the literature gap
found in KMS components which are not clearly defined, nor arranged and categorised for the most efficient use inside the organisation. Without this model, KMS developers should expect deficiency in their design due to the possibility of missing or misinterpreting important components for the intended design. Therefore, with this new model, the much clearer approach is achieved by ensuring that all KMS components are clearly identified and used to guarantee KMS effectiveness in the organisation. This research leads to a further study to test and confirm the new model for KMS development in LO’s
The Construct of Policy Leadership: A Conceptual Framework
Get PDFThis paper provides a framework in defining and presenting the concept of “policy leadership”. Policy leadership are activities that leaders in organizations take to guarantee that the internal and external policy environments keep on being beneficial to the purpose, culture, and changing circumstances of the organization. Policy leadership is not just restricted to the acknowledgment of policy unquestioningly, yet it is likewise worries on the improvements, and changes but it provides the basis for policy execution and implementation in organizations. This type of leadership is significantly important for leaders who are encircled and enclosed with internal and external policies in their organizations that need them to deal proactively and positively within the policies for organizational well-being and its effectiveness. This emerging concept will assists leaders in understanding the ‘what’ and ‘why’ of policy leadership. Besides that, policy leadership provides an opportunity for understanding the role of leaders engaging in policies to achieve organizational effectiveness. However, future research is needed to empirically validate the concept through systematic investigations that sheds light on the constructs and later devise a scale to measure policy leadership