Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses

Nand, Ravneil; Sharma, Anuraganand

doi:10.1109/cec.2019.8789987

Cited by 8 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some researchers aim to form mixed‐ability teams based on students' theoretical knowledge (Sakulviriyakitkul, Sintanakul, & Srisomphan, 2020). Recent research investigates the effectiveness of utilizing metaheuristic algorithms, such as Firefly or particle swarm optimization, to form groups based on the broad skills that students associate with themselves, ranging from coding to presentation (Nand & Sharma, 2019). Replicating instructor‐formed group making strategies in a different context is difficult.…”

Section: A Typology Of Collaborative Gis Programming Course Projectsmentioning

confidence: 99%

A collaborative GIS programming course using GitHub Classroom

Anbaroğlu

2021

Transactions in GIS

View full text Add to dashboard Cite

Geospatial software developers often rely on Git to collaborate with each other and manage source code in an efficient way. Yet, most GIS programming courses do not prepare students for such a work environment. This article proposes a typology that a GIS programming course could follow consisting of three components: group organization, project and evaluation. Based on the typology, a GIS programming course was designed where randomly formed pairs develop a state‐of‐the‐art QGIS plugin. GitHub Classroom was used to facilitate collaboration among students, which also allowed the lecturer to monitor the progress of groups and provide timely feedback. Five out of the six groups were successful in completing the projects, and a substantial majority of the students were satisfied with the course. A strengths–weaknesses–opportunities–threats analysis reveals insights that other lecturers may find useful when designing their GIS programming courses.

show abstract

Section: A Typology Of Collaborative Gis Programming Course Projectsmentioning

confidence: 99%

A collaborative GIS programming course using GitHub Classroom

Anbaroğlu

2021

Transactions in GIS

View full text Add to dashboard Cite

show abstract

“…Preference incorporates the ability to decide when to initiate the stepping-ahead mechanism. FA was also selected based on its superior performance than other common meta-heuristics algorithms ( Hassan & Rashid, 2020b , 2020a ; Nand & Sharma, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

An introduction of preference based stepping ahead firefly algorithm for the uncapacitated examination timetabling

Nand¹,

Sharma²,

Chaudhary³

2022

PeerJ Computer Science

Self Cite

View full text Add to dashboard Cite

In recent times, there has been a growing attention to intelligent optimization algorithms centred on swarm principles such as the firefly algorithm (FA). It was proposed for the continuous domain that mimics the attraction of fireflies to flashing light and has been used in discrete domains via modification. A discrete domain that is a major challenge in most higher education institutes (HEI) is examination timetabling. This article presents a new methodology based on FA for uncapacitated examination timetabling problems (UETP) where the proposed method is an extension of earlier work by the authors on the continuous domain. UETP is considered in this article as it is a university examination timetabling problem, which is still an active research area and has not been solved by FA algorithm as per authors knowledge. The proposed method concentrates on solving the initial solution using discrete FA where it consolidates the reordering of examinations and slots through a heuristic ordering known as neighborhood search. Three neighborhoods are employed in this research, where one is used during the initialization phase while two are utilized during solution improvement phase. Later, through preference parameters, a novel stepping ahead mechanism is used, which employs neighborhood searches built on previous searches. The proposed method is tested with 12 UETP problems where the preference based stepping ahead FA creates comparative results to the best ones available in the literature for the Toronto exam timetabling dataset. The results obtained are proof of concept at the preliminary stage and require further experiments on other educational datasets such as the second international timetable competition benchmark sets. The newly introduced preference based stepping ahead mechanism takes advantage of the current best solution space where it exploits the solution space for better solutions. This paves the way for researchers to utilize the mechanism in other domains such as robotics, etc.

show abstract

“…Due to the increasing dependence on digital devices and digital platforms, the education sector has evolved from traditional teaching and learning to a technology-driven education (Volpe, 2021; Alenzuela et al , 2019). The authors (Johnson et al , 2021; Prasad et al , 2021; Reddy et al , 2020c; Nand and Sharma, 2019; Reddy et al , 2019; Sharma et al , 2019a, b; Vula, 2019; Raturi, 2018; Reddy et al , 2017; Reddy et al , 2017; Ravindra et al , 2015) have researched on various aspects of technology-driven education. For example, the use of tablets and mobile devices for learning, the use of technology for inclusive education and digital literacy in the Fiji Islands.…”

Section: Introductionmentioning

confidence: 99%

Information literacy: a desideratum of the 21st century

Reddy

Sharma

Chaudhary

et al. 2021

OIR

View full text Add to dashboard Cite

Purpose The research surveyed the competency of information literacy of senior high school students in Fiji. This is to evaluate the strong predictors of information literacy. Design/methodology/approach The study adopted a survey research design whereby a five-point Likert scale self-reporting questionnaire was administered to Year 12 and Year 13 secondary school students. The data were analysed using the Statistical Package for the Social Sciences (SPSS) software-descriptive statistics of calculating the mean and standard deviation, a correlation and linear regression analysis to deduce the strong predictors of information literacy. Findings The study showed that 81% of the students surveyed were average to above average information literate. The strong predictors of information literacy were the ability of an individual to collaborate and share safely online, the ability to share files securely and the ability to access the credibility of any resource assessed on the digital platform. Research limitations/implications The current study evaluates information literacy of a cohort – stating how information literate the participants are, comprehending the strong predicators of information literacy so that there is an appropriate and effective implementation of interventions for the desired improvements. Practical implications The results can be used to improve information literacy of students at all levels of education in the Fiji Islands. Social implications If the youths are information literate they will be able to effectively contribute towards the development of their economy. Since the work environment today is technology oriented and involves a lot of information, being information literate means knowing how to use the information and differentiate between good and bad information. Hence, contributing effectively towards whatever task is performed. Originality/value This research if the first ever research done on evaluating the information literacy of individuals in Fiji.

show abstract

Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses

Cited by 8 publications

References 24 publications

A collaborative GIS programming course using GitHub Classroom

A collaborative GIS programming course using GitHub Classroom

An introduction of preference based stepping ahead firefly algorithm for the uncapacitated examination timetabling

Information literacy: a desideratum of the 21st century

Contact Info

Product

Resources

About