2 Search Results for "Monteiro, Carlos"

Document
DOI: 10.4230/OASIcs.ICPEC.2022.4
Introductory Programming in Higher Education: A Systematic Literature Review

Authors: Gabryella Rodrigues, Ana Francisca Monteiro, and António Osório

Published in: OASIcs, Volume 102, Third International Computer Programming Education Conference (ICPEC 2022)

Abstract
A systematic literature review was performed on 33 papers obtained from the ACM, IEEE and Sciencedirect databases, in order to understand in depth, the introductory programming discipline (CS1) in higher education. Recently published works have been covered, providing an overview of the teaching-learning process of introductory programming and enabling to find out whether the research developed by universities worldwide is in line with the proposals made by ACM/IEEE-CS group for computer courses, regarding the transition to the competency-based model. The results show that the new techniques/technologies currently used in software development, as an example of agile methodology, has influenced the teaching-learning process of CS1 together with methods such as visual programming and e-learning. The analyzed papers discuss the importance of developing not only technical, but also social skills, corroborating that methodologies used in introductory programming courses need to focus on preparing students for an increasingly competitive market, associating new skills with technical aspects.
Cite as

Gabryella Rodrigues, Ana Francisca Monteiro, and António Osório. Introductory Programming in Higher Education: A Systematic Literature Review. In Third International Computer Programming Education Conference (ICPEC 2022). Open Access Series in Informatics (OASIcs), Volume 102, pp. 4:1-4:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

Copy BibTex To Clipboard

@InProceedings{rodrigues_et_al:OASIcs.ICPEC.2022.4,
  author =	{Rodrigues, Gabryella and Monteiro, Ana Francisca and Os\'{o}rio, Ant\'{o}nio},
  title =	{{Introductory Programming in Higher Education: A Systematic Literature Review}},
  booktitle =	{Third International Computer Programming Education Conference (ICPEC 2022)},
  pages =	{4:1--4:17},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-229-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{102},
  editor =	{Sim\~{o}es, Alberto and Silva, Jo\~{a}o Carlos},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2022.4},
  URN =		{urn:nbn:de:0030-drops-166085},
  doi =		{10.4230/OASIcs.ICPEC.2022.4},
  annote =	{Keywords: systematic literature review, CS1, introductory programming, teaching programming, learning programming}
}
Document
DOI: 10.4230/OASIcs.SLATE.2012.123
HandSpy - a system to manage experiments on cognitive processes in writing

Authors: Carlos Monteiro and José Paulo Leal

Published in: OASIcs, Volume 21, 1st Symposium on Languages, Applications and Technologies (2012)

Abstract
Experiments on cognitive processes require a detailed analysis of the contribution of many participants. In the case of cognitive processes in writing these experiments require special software tools to collect gestures performed with a pen or a stylus, and recorded with special hardware. These tools produce different kinds of data files in binary and proprietary formats that need to be managed on a workstation file system for further processing with generic tools, such as spreadsheets and statistical analysis software. The lack of common formats and open repositories hinders the possibility of distributing the work load among researchers within the research group, of re-processing the collected data with software developed by other research groups, and of sharing results with the rest of the cognitive process research community. This paper presents HandSpy, a collaborative environment for managing experiments in cognitive processes in writing. This environment was designed to cover all the stages of the experiment, from the definition of tasks to be performed by participants, to the synthesis of results. Collaboration in HandSpy is enabled by a rich web interface developed with the Google Web Toolkit. To decouple the environment from existing hardware devices for collecting written production, namely digitizing tablets and smart pens, HandSpy is based on the InkML standard, an XML data format for representing digital ink. This design choice shaped many of the features in HandSpy, such as the use of an XML database for managing application data and the use of XML transformations. XML transformations convert between persistent data representations used for storage and transient data representations required by the widgets on the user interface. This paper presents also an ongoing use case of HandSpy where this environment is being used to manage an experiment involving hundreds of primary schools participants that performed different tasks.
Cite as

Carlos Monteiro and José Paulo Leal. HandSpy - a system to manage experiments on cognitive processes in writing. In 1st Symposium on Languages, Applications and Technologies. Open Access Series in Informatics (OASIcs), Volume 21, pp. 123-132, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

Copy BibTex To Clipboard

@InProceedings{monteiro_et_al:OASIcs.SLATE.2012.123,
  author =	{Monteiro, Carlos and Leal, Jos\'{e} Paulo},
  title =	{{HandSpy - a system to manage experiments on cognitive processes in writing}},
  booktitle =	{1st Symposium on Languages, Applications and Technologies},
  pages =	{123--132},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-40-8},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{21},
  editor =	{Sim\~{o}es, Alberto and Queir\'{o}s, Ricardo and da Cruz, Daniela},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2012.123},
  URN =		{urn:nbn:de:0030-drops-35180},
  doi =		{10.4230/OASIcs.SLATE.2012.123},
  annote =	{Keywords: InkML, collaborative environment, XML data processing}
}
  • Refine by Author
  • 1 Leal, José Paulo
  • 1 Monteiro, Ana Francisca
  • 1 Monteiro, Carlos
  • 1 Osório, António
  • 1 Rodrigues, Gabryella

  • Refine by Classification
  • 1 General and reference → Surveys and overviews

  • Refine by Keyword
  • 1 CS1
  • 1 InkML
  • 1 XML data processing
  • 1 collaborative environment
  • 1 introductory programming
  • Show More...

  • Refine by Type
  • 2 document

  • Refine by Publication Year
  • 1 2012
  • 1 2022

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact