Наука и настава у васпитно-образовном контексту (2020), (стр. 335-346)

АУТОР(И): MARA COTIČ, DARJO FELDA, AMALIJA ŽAKELJ

Е-АДРЕСА: mara.cotic@pef.upr.si

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DOI:10.46793/STEC20.335C

САЖЕТАК:

Looking for an answer to the question what knowledge represents the centre of gravity in teaching and learning and thus also in testing and assessing knowledge, as well as in the interpretation of students’ achievements taxonomies of learning objectives for the cognitive area can be of assistance. In education sciences there are several taxonomies of cognitive knowledge (Bloom, Marzano, Gagne). Taxonomy is derived from basic cognitive

– mental processes that are arranged in a hierarchic relationship, namely from the lowest – the simplest to the highest – the most complex process.

The present paper represents an introduction to Bloom’s, Gagne’s, and Marzano’s taxonomies. Bloom’s taxonomy is one of the best known classifications of learning objectives, where Bloom and associates have formed a taxonomy of cognitive, conative, and psycho-motoric learning objectives. In the cognitive area the following degrees have been defined: remembering, understanding, applying, analysing, synthesising, and evaluating. Gagne’s classification of knowledge classifies the achievements of learners into: basic and conceptual knowledge, procedural knowledge, and problem solving knowledge. Marzano’s taxonomy distinguishes between content and lifelong or process knowledge, which are further divided into complex thinking, data processing, communication, cooperation in the group, and development of mental habits

КЉУЧНЕ РЕЧИ:

taxonomy, Marzano’s taxonomy, Bloom’s taxonomy, Gagne’s classification of knowledge, knowledge testing.

ЛИТЕРАТУРА:

  • Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J. & Wittrock, M. C. (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives. Boston: Allyn & Bacon.
  • Cotič, M. (2010). Vrednotenje matematičnega znanja in objektivnost učiteljeve ocene. Didactica Slovenica: časopis za didaktiko in metodiko, 25(1), 39–54.
  • Cotič, M. & Ţakelj, A. (2004). Gagnejeva taksonomija pri preverjanju in ocenjevanju matematičnega znanja. Sodobna pedagogika, 55(1), 182–192.
  • Felda, D. & Bon Klanjšček, M. (2017). Teaching Statistics in the Background of Teaching Mathematics. The New Educational Review, 48(2), 65–75.
  • Hargreaves, A. (2005). Extending educational change. New York: Springer, cop. Kmetič, S. (1996). Prispevki k poučevanju matematike. Maribor: Rotis.
  • Kluger, A. N. & DeNisi, A. (1996). The Effects of Feedback Interventions on Performance: a Historical Review, a Meta-Analysis, and a Preliminary Feedback Intervention Theory. Psychological Bulletin, 119(2), 254–284.
  • RutarIlc, Z. (2006). Didaktična prenova gimnazijali kako pod pretišole pri tem, da bododijake pripravljalena »jutrišnje« probleme. In M. Turk Škraba (ed.): Vpeljevanje sprememb v šole – konceptualni vidiki. Ljubljana: Zavod Republike Slovenije za šolstvo.
  • RutarIlc, Z. (2002). Aktivni učenec: zakaj in kako?. In A. Zupan (ed.): Modeli poučevanja in učenja. Zbornik prispevkov (10–17). Ljubljana: Zavod RS za šolstvo.
  • Valenčič Zuljan, M. i Kalin, J. (2007). Učitelj – temeljni dejavnik v procesu inoviranja pedagoške prakse. Sodobna pedagogika, 58(2), 162–179.
  • Wiliam, D. (2013). Vloga formativnega vrednotenja v učinkovitih učnih okoljih. V S. Sentočnik (ur.), O naravi učenja. Ljubljana: ZRSŠ.
  • Ţakelj, A. (2003). Kako poučevati matematiko. Teoretična zasnova modela in njegova didaktična izpeljava. Ljubljana: Zavod Republike Slovenije za šolstvo.