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Enregistrement W1592880112

Designing, Developing, and Implementing a Course on LEGO Robotics for Technology Teacher Education

2003· article· en· W1592880112 sur OpenAlex

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Notice bibliographique

RevueThe Journal of Technology and Teacher Education · 2003
Typearticle
Langueen
DomaineComputer Science
ThématiqueTeaching and Learning Programming
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésConstructionismRoboticsEducational roboticsStrict constructionismArtificial intelligenceComputer scienceRobotProcess (computing)Mathematics educationPsychologyEpistemologyProgramming language
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Within a constructivist philosophy of learning, teachers, as students, are introduced to different perspectives of teaching with robotic technology while immersed in what Papert called a constructionist environment. Robotics allows students to creatively explore computer programming, mechanical design and construction, problem solving, collaboration, physics, motion, music--all within an active, enjoyable, and nonthreatening setting. The theoretical motivation for integrating robotics into the teacher education program comes from Jonassen's (2000) argument that technology tools can be viewed as cognitive tools or that enhance the learning process. Students are given ownership for their learning within a constructionist environment and allowed to discover and make choices as they explore countless avenues for solving design challenges. Through the use of innovative LEGO[R] RoboLab[TM] technology, students learn various facets of problem solving while simultaneously mastering numerous mathematical and scientific concepts. This article describes a case study of a pilot teacher education course in robotic technology. The goal was to design and develop a course that provides current and prospective teachers with a solid understanding of robot design, construction, and programming--as well as a demonstration and understanding of teaching using constructionist pedagogical strategies. ********** A revolution is beginning in the field of robotics that sees various aspects of robotics research leaving the laboratory environment and moving out into the world. Recent new programmable robotic such as SONY's robotic dog or the LEGO MINDSTORMS robot construction kit are typical examples. As Hendler (2000) pointed out, such toys the very nature of the relationship between children and technologies ... children are no longer anchored to a PC on the desktop, but able to bring the technology into their everyday world (p. 2). This in turn poses a challenge to the educational community of how best to integrate these new technologies into our school environment. The evolution of approaches and methods for the application of technology to teaching and learning is inherently linked to the evolution of the technology itself. Witness the impact desktop computers have had on a child's school experience over the last 20 years and the important role they now play in education (Santrock, 2001). The use of robotics in education is a relatively new phenomenon (Miglino, Lund, & Cardaci, 1999). That being said, there appears to be some evidence to indicate that robotics, as a classroom-teaching tool, can help promote student problem solving at many levels of education (Druin & Hendler, 2000; Thangiah & Joshi, 1997; Wagner, 1998). This article will present the theoretical and applied rationale for integrating robotics into a teacher education course in technology, describe a pilot course at the University of Alberta, student reflections on the course, and possible curriculum linkages for robotics. THEORETICAL AND APPLIED MOTIVATION FOR ROBOTICS Essentially one seeks to answer the question; why integrate technology, in the form of robotics, into the teacher education process? From a more general perspective there are many reasons to use technology in teacher education. Underlying almost all of these reasons is the notion that technology, if employed effectively, can positively impact the teaching process and subsequently either change or enhance the learning process (Papert; 1980; Logan, 1995). Jonassen (2000) makes a compelling argument for using computer technologies as in education in contrast to using computer technologies as a vehicle to deliver instructional material. The theoretical motivation for including robotics in teaching is grounded on Jonassen's notion that Mindtools can indeed change and enhance the learning process in education. The Mindtools perspective views the individual and computer in a joint-problem-solving-system or intellectual partnership such that the individual's problem solving ability and critical thinking skills are developed or amplified beyond the level that could be achieved without such a partnership (Logan, 1995; Orhun, 1995; Pea, 1985; Penner, 2001; Salomon, Perkins, & Globerson, 1991). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,801
Score d'incertitude au seuil0,395

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,319
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle