A Problem Based Approach to Teaching Programming
نویسندگان
چکیده
Java Programming Laboratory (JPL) is a cloud based learning environment used for teaching object-oriented programming at Griffith University, Australia. JPL incorporates a number of features found in other successful programming learning environments and builds upon them with a range of innovative features. JPL provides a database that tracks individual students’ successes and progression through scaffolded programming exercises and assessment items and gives students immediate feedback on their use of programming language syntax and correctness of problem solutions. A data querying and visualisation facility allows analysis of the database to provide real-time performance indicators from the overall course / problem level down to the individual student / specific problem level. Programming instructors and curriculum designers will find that this facility allows a responsive approach to student engagement, assistance and progression; as well as course problem tuning in a just-in-time manner.
منابع مشابه
Presentation and Solving Non-Linear Quad-Level Programming Problem Utilizing a Heuristic Approach Based on Taylor Theorem
The multi-level programming problems are attractive for many researchers because of their application in several areas such as economic, traffic, finance, management, transportation, information technology, engineering and so on. It has been proven that even the general bi-level programming problem is an NP-hard problem, so the multi-level problems are practical and complicated problems therefo...
متن کاملA New Approach for Solving Interval Quadratic Programming Problem
This paper discusses an Interval Quadratic Programming (IQP) problem, where the constraints coefficients and the right-hand sides are represented by interval data. First, the focus is on a common method for solving Interval Linear Programming problem. Then the idea is extended to the IQP problem. Based on this method each IQP problem is reduced to two classical Quadratic Programming (QP) proble...
متن کاملTOPSIS approach to linear fractional bi-level MODM problem based on fuzzy goal programming
The objective of this paper is to present a technique for order preference by similarity to ideal solution (TOPSIS) algorithm to linear fractional bi-level multi-objective decision-making problem. TOPSIS is used to yield most appropriate alternative from a finite set of alternatives based upon simultaneous shortest distance from positive ideal solution (PIS) and furthest distance from negative ...
متن کاملSimulated Annealing Approach for Solving Bilevel Programming Problem
Bilevel programming, a tool for modeling decentralized decision problems, consists of the objective of the leader at its first level and that of the follower at the second level. Bilevel programming has been proved to be an Np-hard problem. Numerous algorithms have been developed for solving bilevel programming problems. These algorithms lack the required efficiency for solving a real problem. ...
متن کاملA Possibility Linear Programming Approach to Solve a Fuzzy Single Machine Scheduling Problem
This paper employs an interactive possibility linear programming approach to solve a single machine scheduling problem with imprecise processing times, due dates, as well as earliness and tardiness penalties of jobs. The proposed approach is based on a strategy of minimizing the most possible value of the imprecise total costs, maximizing the possibility of obtaining a lower total costs, and mi...
متن کاملA New Mathematical Approach based on Conic Quadratic Programming for the Stochastic Time-Cost Tradeoff Problem in Project Management
In this paper, we consider a stochastic Time-Cost Tradeoff Problem (TCTP) in PERT networks for project management, in which all activities are subjected to a linear cost function and assumed to be exponentially distributed. The aim of this problem is to maximize the project completion probability with a pre-known deadline to a predefined probability such that the required additional cost is min...
متن کامل