Using real projects as motivators in programming education

Konecki, Mario; Lovrenčić, Sandra; Kaniški, Matija

doi:10.1109/mipro.2016.7522264

Cited by 8 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other papers report attempts to improve student engagement through changes in the assessment process, introducing assessment practices and cycles such as feedback-revision-resubmission [262]; contexts that are meaningful to students [292]; contexts that correspond to the real world [344]; the use of tools and equipment, such as 3D printers [316] and robot olympics [582], that can grab attention while facilitating creativity; emphasising the utility of computing through simulated research [493]; tapping into social computing paradigms earlier in introductory programming [592]; and game development [130].…”

Section: Student Engagement Student Engagement In Introductorymentioning

confidence: 99%

Introductory programming: a systematic literature review

Luxton-Reilly

Simón

Albluwi

et al. 2018

Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

362

127

View full text Add to dashboard Cite

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming.This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research.

show abstract

Section: Student Engagement Student Engagement In Introductorymentioning

confidence: 99%

Introductory programming: a systematic literature review

Luxton-Reilly

Simón

Albluwi

et al. 2018

Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

362

127

View full text Add to dashboard Cite

show abstract

“…To možda još više vrijedi za kolegije iz područja računalnog programiranja jer se studenti boje apstraktne prirode programiranja. Često je teško shvatiti svrhu stečenog znanja (Konecki, Lovrenčić, Kaniški, 2016). Na temelju prethodno navedenih činjenica, postojeći obrazovni sustav zahtijeva značajne promjene kako bi se učenici pripremili za buduće radne izazove.…”

Section: Uvodunclassified

Challenges in using the language models of the OpenAI platform in the context of evaluating student solutions to project tasks from the field of computer programming

Kučak

2023

Politehnika (Online)

View full text Add to dashboard Cite

Autor ovog istraživanja godinama svjedoči tome kako je motivacija studenata za kontinuirani rad relativno niska. Kako bi povećali motivaciju studenata za samostalni rad, nastavnici na Visokom učilištu Algebra odlučili su posljednjih godina promijeniti pristup. Umjesto inzistiranja da studenti uče za ispit u određeno vrijeme, dobili su niz projekata koje su trebali samostalno implementirati. Rezultati istraživanja pokazali su da postoji napredak u kasnije ostvarenim rezultatima u odnosu na tradicionalne ispite. S druge strane, pojavom moćnih i besplatnih ili vrlo pristupačnih jezičnih modela kao što su oni platforme OpenAI, nastavnici se susreću sa izazovima jer studenti mogu koristiti takve modele kako bi riješili projektni zadatak, što je u suprotnosti s etičkim kodeksom. Svrha ovoga istraživanja je utvrditi kakve rezultate je sposoban postići jezični model platforme OpenAI, ako mu se zada projektni zadatak iz određenoga kolegija. Definirana su 2 istraživačka pitanja. Kakav rezultat postiže jezični model na OpenAI platformi kada mu se zada projektni zadatak iz kolegija Java web programiranje i postoji li razlika u rezultatima u odnosu na postignute rezultate studenata (Q1)? Postoji li razlika u rezultatima koje postiže jezični model u odnosu na prirodni jezik na kojem mu je zadan projektni zadatak (hrvatski ili engleski) (Q2)? Analiza rezultata pokazala je da je u određenim slučajevima jezični model sposoban riješiti ispit za prolaznu ocjenu bez dodatnih intervencija korisnika, iako su postignuti rezultati značajno slabiji od rezultata koje postižu studenti. Bolje rezultate jezični model postiže ako mu se ispit zada na engleskom jeziku u odnosu na rezultate na hrvatskom jeziku.

show abstract

“…Furthermore, many researchers emphasize that this issue should concern the whole way of thinking rather than focus on specific syntax teaching [24,25]. Multiple papers indicate the importance of blockstructured programming teaching, involving real projects and active learning techniques to effectively encourage students to acquire knowledge and to provide them with the wider perspective of the given topic [24][25][26][27]. The commercial market demands determine the additional aspects of the academic programming education, especially in the context of digital signal processing.…”

Section: Related Workmentioning

confidence: 99%

“…The provided framework eliminates this limitation and ensures a fully adjustable implementation of the transmitter path. Furthermore, incorporating NB-IoT systems, currently and widely used in the real world, may be an incentive for students to learn more willingly, as the main project goal is practical and explicitly defined [27]. Finally, placing a project on the 3GPP standardization grounds allows introducing work with technical documentation to the academic environment, and the reference open-access dataset containing the radio signals recorded during other experiments [36] may gain usability.…”

Section: Related Workmentioning

confidence: 99%

Software-Defined NB-IoT Uplink Framework—The Design, Implementation and Use Cases

Olejniczak

Blaszkiewicz

Cwalina

et al. 2021

Sensors

View full text Add to dashboard Cite

In the radiocommunication area, we may observe a rapid growth of new technology, such as 5G. Moreover, all the newly introduced radio interfaces, e.g., narrowband Internet of Things (NB-IoT), are strongly dependent on the software. Hence, the radiocommunication software development and optimization, as well as the 3GPP technical specification, should be introduced at the academic level of education. In this paper, a software-defined NB-IoT uplink framework in the field of design is presented, as well as its realization and potential use cases. The framework may be used as an academic tool for developing, investigating, and optimizing the digital transmitter paths. The proposed realization is focused on the key elements in the physical layer of the NB-IoT interface used in the sensor devices. Furthermore, the paper also highlights the need of the data processing optimization to minimize the power consumption and usage of the resources of the NB-IoT node during transmitting gathered telemetric data.

show abstract

Using real projects as motivators in programming education

Cited by 8 publications

References 20 publications

Introductory programming: a systematic literature review

Introductory programming: a systematic literature review

Challenges in using the language models of the OpenAI platform in the context of evaluating student solutions to project tasks from the field of computer programming

Software-Defined NB-IoT Uplink Framework—The Design, Implementation and Use Cases

Contact Info

Product

Resources

About