A collaborative approach to learning programming: a hybrid learning model

The use of cooperative working as a means of developing collaborative skills has been recognised as vital in programming education. This paper presents results obtained from preliminary work to investigate the effectiveness of Pair Programming as a collaborative learning strategy and also its value towards improving programming skills within the laboratory. The potential of Problem Based Learning as a means of further developing cooperative working skills along with problem solving skills is also examined and a hybrid model encompassing both strategies outlined

Pair programming in inducing knowledge sharing

The Pair programming as a part of the Agile software development has been gaining acceptance among practitioners and software development community.This successful leads a wide use of pair programming in educational setting as pedagogy in programming course.Pair programming can foster knowledge sharing among students.Many studies have been done with pair programming in education however most of them do not highlight internalized knowledge particularly tacit knowledge from knowledge sharing processes between students who act as driver and navigator in pair programming practice.Thus, this paper will discuss knowledge internalization based on the knowledge sharing activities in pair programming practices by employing the process of Socialization, Externalization, Combination and Internalization (SECI).The sample of the study consisted of 60 students who were actively engaged in pair programming practices.The factors investigated were types of internalized tacit knowledge in the form of learning, thinking and decision making skills among the students. Online questionnaires were adapted from SECI model into educational context.T Test technique was used to analyze the data.This study is expected to contribute a better understanding of important knowledge sharing activities to construct student’s skills during Internalization process through pair programming.This study’s result will be considered for future rigorous theoretical framework for constructing tacit knowledge among the students in pair programming environment

Incorporating Agile with MDA Case Study: Online Polling System

Nowadays agile software development is used in greater extend but for small organizations only, whereas MDA is suitable for large organizations but yet not standardized. In this paper the pros and cons of Model Driven Architecture (MDA) and Extreme programming have been discussed. As both of them have some limitations and cannot be used in both large scale and small scale organizations a new architecture has been proposed. In this model it is tried to opt the advantages and important values to overcome the limitations of both the software development procedures. In support to the proposed architecture the implementation of it on Online Polling System has been discussed and all the phases of software development have been explained.Comment: 14 pages,1 Figure,1 Tabl

Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming

The emergence of large-language models (LLMs) that excel at code generation and commercial products such as GitHub's Copilot has sparked interest in human-AI pair programming (referred to as "pAIr programming") where an AI system collaborates with a human programmer. While traditional pair programming between humans has been extensively studied, it remains uncertain whether its findings can be applied to human-AI pair programming. We compare human-human and human-AI pair programming, exploring their similarities and differences in interaction, measures, benefits, and challenges. We find that the effectiveness of both approaches is mixed in the literature (though the measures used for pAIr programming are not as comprehensive). We summarize moderating factors on the success of human-human pair programming, which provides opportunities for pAIr programming research. For example, mismatched expertise makes pair programming less productive, therefore well-designed AI programming assistants may adapt to differences in expertise levels.Comment: 8 pages (without references), 2 table

A discovery and analysis of influencing factors of pair programming

The exploration into the underlying psychosocial links of pair programming. a new and unorthodox programming paradigm in which two programmers share one keyboard and monitor during real-time programming sessions, is undertaken. These complex psychosocial relationships, along with cognitive process exchanges, ultimately mold the programming output as well as determine the level of communication, satisfaction. confidence and compatibility. Laying the framework for this research, a through review of traditional and contemporary paradigms with a special focus on their limitations and a list of current software development problems are presented. Next, a detailed summary of pair programming and related agile software paradigms, such as extreme programming, which lists pair programming as one of its twelve principles, is given. From earlier pair programming studies, a number of programming benefits have been unveiled and these are listed and discussed. However, a lack of formal studies pertaining to the psychosocial aspects of pair programming exists. Given this void, a field survey is administered to a group of professional programmers and a resulting list of influencing factors on pair programming emerges. From the list, the most popular factor, personality, and two other factors, communication and gender, have been selected in order to study their impact on pair programming product outcome and the level of communication, satisfaction, confidence and compatibility. An experiment focusing on these factors is designed and implemented. From the experimental findings, the personality of the two partners in pair programming is found to have a significant impact on the pair programming output. Also, it is discovered that same gender pairs exhibited an unusually high level of communication, satisfaction and compatibility between each other, especially among female-female pairs. A detailed statistical experiment result based on research hypotheses is reported

Exploratory Comparison of Expert and Novice Pair Programmers

We conducted quasi-experiment comparing novice pair programmers to expert pair programmers. The expert pairs wrote tests with a higher instruction, line, and method coverage than the novice pairs and changed the given program skeleton to a larger extent. However, the expert pairs were also slower than the novice pairs. The pairs within both groups switched keyboard and mouse possession frequently. Furthermore, most pairs did not share the input devices equally but rather had one partner who is more active than the other

Collaborative video searching on a tabletop

Almost all system and application design for multimedia systems is based around a single user working in isolation to perform some task yet much of the work for which we use computers to help us, is based on working collaboratively with colleagues. Groupware systems do support user collaboration but typically this is supported through software and users still physically work independently. Tabletop systems, such as the DiamondTouch from MERL, are interface devices which support direct user collaboration on a tabletop. When a tabletop is used as the interface for a multimedia system, such as a video search system, then this kind of direct collaboration raises many questions for system design. In this paper we present a tabletop system for supporting a pair of users in a video search task and we evaluate the system not only in terms of search performance but also in terms of user–user interaction and how different user personalities within each pair of searchers impacts search performance and user interaction. Incorporating the user into the system evaluation as we have done here reveals several interesting results and has important ramifications for the design of a multimedia search system