Markov chain and classification of difficulty levels enhances the learning path in one digit multiplication.

Autor/inn/en	Taraghi, Behnam; Saranti, Anna; Ebner, Martin; Schön, Martin
Titel	Markov chain and classification of difficulty levels enhances the learning path in one digit multiplication.
Quelle	Aus: Zaphiris, Panayiotis (Hrsg.); Ioannou, Andri (Hrsg.): Learning and collaboration technologies. Learning and collaboration technologies. First International Conference, LCT 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings. 1. Designing and developing novel learning experiences. Cham: Springer International Publishing (2014) S. 322-333 PDF als Volltext (Preprint); PDF als Volltext (2) Link als defekt meldenVerfügbarkeit
Reihe	Lecture notes in computer science. 8523
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-319-07481-8; 978-3-319-07482-5
DOI	10.1007/978-3-319-07482-5_31
Schlagwörter	Medienpädagogik; Grundschule; Schüler; Schwierigkeitsgrad; Lernweg; Datenbank; Markowsche Kette; Mathematikunterricht; Multiplikation; Medieninformatik; E-Learning; Analyse; Antwort; Klassifikation
Abstract	In this work [the authors] focus on a specific application named "1x1 trainer" that has been designed to assist children in primary school to learn one digit multiplications. [They] investigate the database of learners' answers to the asked questions by applying Markov chain and classification algorithms. The analysis identifies different clusters of one digit multiplication problems in respect to their difficulty for the learners. Next [the authors] present and discuss the outcomes of [the] analysis considering Markov chain of different orders for each question. The results of the analysis influence the learning path for every pupil and offer a personalized recommendation proposal that optimizes the way questions are asked to each pupil individually. (Orig.).
Erfasst von	Externer Selbsteintrag
Update	2014/4