Goal Trees as Structuring Element in a Digital Data-Driven Study Assistant [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (16th, Cagliari, Italy, Nov 7-9, 2019).

Autor/in	Weber, Felix
Titel	Goal Trees as Structuring Element in a Digital Data-Driven Study Assistant [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (16th, Cagliari, Italy, Nov 7-9, 2019).
Quelle	(2019), (4 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Data Analysis; Higher Education; Goal Orientation; Self Management; Constructivism (Learning); Barriers; Reports; Futures (of Society); Electronic Learning; Independent Study; Computer Software; College Students; Skill Development; Metacognition; Study Skills; Student Motivation + Suchen Sie Ihr Suchwort? Auswertung; Hochschulbildung; Hochschulsystem; Hochschulwesen; Zielorientierung; Zielvorstellung; Selbstmanagement; Abschlussbericht; Berichten; Future; Society; Zukunft; Selbststudium; Collegestudent; Kompetenzentwicklung; Qualifikationsentwicklung; Meta cognitive ability; Meta-cognition; Metakognitive Fähigkeit; Metakognition; Studientechnik; Schulische Motivation
Abstract	The Future Skills Report about the future of learning and higher Education (Ehlers & Kellermann, 2019) defines a variety of skills in which the active learner plays a central role. Starting from this perspective, our idea is to promote future skills with a digital data-driven study assistant for. As a theoretical foundation research about constructivism, self-regulation and goal-setting is reviewed and the concept of Goal Trees as structuring element of a software is derived. On a psychological level we show how Goal Trees may increase motivation and simplify study planning. On the level of user interface design, we show how Goal Trees may be used as structuring element of a digital data-driven study assistant. Consequently we outline how functionalities derived from research about goal-setting and self-regulation can be implemented in a study assistant. Finally advantages and challenges of implementing such a system are discussed. [For the complete proceedings, see ED608557.] (As Provided).
Anmerkungen	International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01