scholarly journals I know what you coded last summer

2021 ◽  
Author(s):  
Lucas Mendonça de Souza ◽  
Igor Moreira Felix ◽  
Bernardo Martins Ferreira ◽  
Anarosa Alves Franco Brandão ◽  
Leônidas de Oliveira Brandão
Keyword(s):  
Programming Language ◽  
Learning Analytics ◽  
Online Courses ◽  
Automatic Evaluation ◽  
Evaluation Tools ◽  
Introductory Programming ◽  
Introductory Programming Courses ◽  
Programming Courses

The outbreak of the COVID-19 pandemic caused a surge in enrollments in online courses. Consequently, this boost in numbers of students affected teachers ability to evaluate exercises and resolve doubts. In this context, tools designed to evaluate and provide feedback on code solutions can be used in programming courses to reduce teachers workload. Nonetheless, even with using such tools, the literature shows that learning how to program is a challenging task. Programming is complex and the programming language employed can also affect students outcomes. Thus, designing good exercises can reduce students difficulties in identifying the problem and help reduce syntax challenges. This research employs learning analytics processes on automatic evaluation tools interaction logs and code solutions to find metrics capable of identifying problematic exercises and their difficulty. In this context, an exercise is considered problematic if students have problems interpreting its description or its solution requires complex programming structures like loops, conditionals and recursion. The data comes from online introductory programming courses. Results show that the computed metrics can identify problematic exercises, as well as those that are being challenging.

scholarly journals Learners Programming Language a Helping System for Introductory Programming Courses

2016 ◽  
Vol 35 (3) ◽  
pp. 347-358
Author(s):  
Muhammad Shumail Naveed ◽  
Muhammad Sarim ◽  
Kamran Ahsan
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Retention Rate ◽  
Introductory Programming ◽  
Source Program ◽  
Definition Of ◽  
High Level ◽  
Novice Students ◽  
Introductory Programming Courses ◽  
Programming Courses

Programming is the core of computer science and due to this momentousness a special care is taken in designing the curriculum of programming courses. A substantial work has been conducted on the definition of programming courses, yet the introductory programming courses are still facing high attrition, low retention and lack of motivation. This paper introduced a tiny pre-programming language called LPL (Learners Programming Language) as a ZPL (Zeroth Programming Language) to illuminate novice students about elementary concepts of introductory programming before introducing the first imperative programming course. The overall objective and design philosophy of LPL is based on a hypothesis that the soft introduction of a simple and paradigm specific textual programming can increase the motivation level of novice students and reduce the congenital complexities and hardness of the first programming course and eventually improve the retention rate and may be fruitful in reducing the dropout/failure level. LPL also generates the equivalent high level programs from user source program and eventually very fruitful in understanding the syntax of introductory programming languages. To overcome the inherent complexities of unusual and rigid syntax of introductory programming languages, the LPL provide elementary programming concepts in the form of algorithmic and plain natural language based computational statements. The initial results obtained after the introduction of LPL are very encouraging in motivating novice students and improving the retention rate.

scholarly journals Python and Roles of Variables in Introductory Programming: Experiences from Three Educational Institutions

10.28945/3097 ◽  
2007 ◽  
Author(s):  
Uolevi Nikula ◽  
Jorma Sajaniemi ◽  
Matti Tedre ◽  
Stuart Wray
Keyword(s):  
Programming Language ◽  
Drop Out ◽  
Educational Institutions ◽  
Introductory Programming ◽  
Program Behavior ◽  
Drop Out Rates ◽  
First Programming Language ◽  
Introductory Programming Courses ◽  
Programming Courses ◽  
Study Plan

Students often find that learning to program is hard. Introductory programming courses have high drop-out rates and students do not learn to program well. This paper presents experiences from three educational institutions where introductory programming courses were improved by adopting Python as the first programming language and roles of variables as an aid in understanding program behavior. As a result of these changes, students were able to write working code from the very beginning, they found programming easy and interesting, they passed exams with good grades, and drop-out rates were low. Students became interested in programming and some of them even changed their personal study plan to include more of programming and computer science.

scholarly journals Language Trends in Introductory Programming Courses

10.28945/2464 ◽  
2002 ◽  
Author(s):  
Michael De Raadt ◽  
Richard Watson ◽  
Mark Toleman
Keyword(s):  
Programming Languages ◽  
Programming Language ◽  
Language Skills ◽  
Generic Programming ◽  
Design Tools ◽  
Key Factors ◽  
Introductory Programming ◽  
Introductory Programming Courses ◽  
Programming Courses ◽  
Australian Universities

Deciding what to teach novice programmers about programming and, in particular, which programming language to teach to novice programmers, and how to teach it, is a common topic for debate within universities. Should an industry relevant programming language be taught, or should a language designed for teaching novices be used? In order to design tools and methodologies for the teaching of novice programmers it is important to uncover what is being taught, and in turn, what will be taught in the future. A census of introductory programming courses administered within all Australian universities has been undertaken. The census aimed to reveal not only what computer programming languages are being taught, but also how they are being taught. From the results of this census two key factors emerged: perceived industry pressure for graduates with certain language skills versus academic training for generic programming skills.

Creativity in CS1: A Literature Review

2022 ◽  
Vol 22 (2) ◽  
pp. 1-26
Author(s):  
Sadia Sharmin
Keyword(s):  
Science Education ◽  
Literature Review ◽  
Computer Science ◽  
Creative Thinking ◽  
Computer Science Education ◽  
Project Based Learning ◽  
Retention Rates ◽  
Introductory Programming ◽  
Introductory Programming Courses ◽  
Programming Courses

Computer science is a fast-growing field in today’s digitized age, and working in this industry often requires creativity and innovative thought. An issue within computer science education, however, is that large introductory programming courses often involve little opportunity for creative thinking within coursework. The undergraduate introductory programming course (CS1) is notorious for its poor student performance and retention rates across multiple institutions. Integrating opportunities for creative thinking may help combat this issue by adding a personal touch to course content, which could allow beginner CS students to better relate to the abstract world of programming. Research on the role of creativity in computer science education (CSE) is an interesting area with a lot of room for exploration due to the complexity of the phenomenon of creativity as well as the CSE research field being fairly new compared to some other education fields where this topic has been more closely explored. To contribute to this area of research, this article provides a literature review exploring the concept of creativity as relevant to computer science education and CS1 in particular. Based on the review of the literature, we conclude creativity is an essential component to computer science, and the type of creativity that computer science requires is in fact, a teachable skill through the use of various tools and strategies. These strategies include the integration of open-ended assignments, large collaborative projects, learning by teaching, multimedia projects, small creative computational exercises, game development projects, digitally produced art, robotics, digital story-telling, music manipulation, and project-based learning. Research on each of these strategies and their effects on student experiences within CS1 is discussed in this review. Last, six main components of creativity-enhancing activities are identified based on the studies about incorporating creativity into CS1. These components are as follows: Collaboration, Relevance, Autonomy, Ownership, Hands-On Learning, and Visual Feedback. The purpose of this article is to contribute to computer science educators’ understanding of how creativity is best understood in the context of computer science education and explore practical applications of creativity theory in CS1 classrooms. This is an important collection of information for restructuring aspects of future introductory programming courses in creative, innovative ways that benefit student learning.

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