Fostering Pupils’ Deep Learning and Motivation in the Norwegian Context: A Study of Pupils’ Perceptions of Mathematics Instruction and the Link to Their Learning Outcomes

Author:

Dalehefte Inger Marie,Canrinus Esther Tamara

Abstract

AbstractRecent international research has highlighted deep learning as an essential prerequisite for pupils to meet the global challenges of the future. This focus has drawn attention to Norwegian challenges, indicating that instruction leaves little room for pupils to engage intensively in tasks over time and to foster deep-learning processes. Thus, a new curriculum was implemented in the Norwegian educational system in the autumn of 2020 to emphasize deep learning throughout all content areas.This study investigates how teachers provide learning conditions fostering learning and motivation processes to support pupils’ learning during mathematics lessons. After their mathematics lesson, 144 pupils from 9 classes (grades 7–9) in seven schools in Norway completed a questionnaire. It consisted of items measuring their perception of the relevance of the content taught, the quality of the instruction given, the teacher’s interest and enthusiasm, and the extent to which the instruction fulfilled their psychological needs for social relation, autonomy, and feeling competent.On average, the pupils reported that they applied surface-level learning strategies rather than deep-level strategies in their mathematics lessons. They also lacked intrinsic motivation. To a large degree, pupils reported that they hardly recognised the content’s relevance. The results support the focus on deep learning in the 2020 curriculum reform in Norway. Additionally, they reveal conditions worth investigating when aiming to foster pupils’ deep learning and motivation.

Publisher

Springer International Publishing

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3