4.7 Article

Advancing young adolescents' hypothesis-development performance in a computer-supported and problem-based learning environment

Journal

COMPUTERS & EDUCATION
Volume 57, Issue 2, Pages 1780-1789

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compedu.2011.03.014

Keywords

Interactive learning environments; Multimedia/hypermedia systems; Teaching/learning strategies

Ask authors/readers for more resources

Hypothesis development is a complex cognitive activity, but one that is critical as a means of reducing uncertainty during ill-structured problem solving. In this study, we examined the effect of metacognitive scaffolds in strengthening hypothesis development. We also examined the influence of hypothesis development on young adolescents' problem-solving performance. Data was collected from sixth-grade students (N = 172) using a computer-supported problem-based learning environment, Animal Investigator. The findings of the study indicated that participants using metacognitive scaffolds developed significantly better hypotheses and that hypothesis-development performance was predictive of solution-development performance. This article discusses further educational implications of the findings and future research. (C) 2011 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
Article Computer Science, Interdisciplinary Applications

Supporting students' basic psychological needs and satisfaction in a blended learning environment through learning analytics

Elise Ameloot, Tijs Rotsaert, Thomas Ameloot, Bart Rienties, Tammy Schellens

Summary: This study investigates the impact of using learning analytics to support students' autonomy and competence needs in a blended learning environment. The findings show that teachers' adaptation based on learning analytics positively influences students' satisfaction with the adapted learning environment. However, students' basic psychological needs vary depending on the face-to-face workshop subject. The study emphasizes the importance of thoughtful blended learning course design and provides recommendations for effective learning analytics utilization in university settings.

COMPUTERS & EDUCATION (2024)

Article Computer Science, Interdisciplinary Applications

Enhancing elementary school students' computational thinking and programming learning with graphic organizers

Tzu-Chi Yang, Zhi-Shen Lin

Summary: Computational thinking is essential in the current era and learning programming is the most effective way to develop it. Introducing computational thinking and programming at an early age is recommended. Graphic organizers serve as a bridge between students' existing knowledge and new learning, enhancing their learning process. The study found that using graphic organizers improved elementary school students' computational thinking, programming skills, and learning experiences.

COMPUTERS & EDUCATION (2024)

Article Computer Science, Interdisciplinary Applications

Collaborative analytics-enhanced reflective assessment to foster conducive epistemic emotions in knowledge building

Yuqin Yang, Kaicheng Yuan, Gaoxia Zhu, Lizhen Jiao

Summary: The study finds that the design of collaborative analytics-enhanced reflective assessment can promote conducive epistemic emotions to knowledge building among undergraduates, and enriches our understanding of the relationships between metacognition, epistemic emotions, and knowledge building practices.

COMPUTERS & EDUCATION (2024)

Article Computer Science, Interdisciplinary Applications

A novel quantitative assessment of engagement in virtual reality: Task-unrelated thought is reduced compared to 2D videos.

Vishal Kiran Kuvar, Jeremy N. Bailenson, Caitlin Mills

Summary: Recent research suggests that students' minds often wander off-task during learning, regardless of the learning modality. This study explores the potential of virtual reality (VR) to reduce task-unrelated thoughts (TUT) and finds that learning with VR leads to lower TUT and better performance.

COMPUTERS & EDUCATION (2024)

Article Computer Science, Interdisciplinary Applications

Adopt or abandon: Facilitators and barriers of in-service teachers' integration of game learning analytics in K-12 classrooms?

Yiming Liu, Jeremy Tzi Dong Ng, Xiao Hu, Zhengyang Ma, Xiaoyan Lai

Summary: This study examines teachers' usage intention and behavior towards the Game Learning Analytics (GLA) system in K-12 classrooms. The study found that personal, environmental, and technological factors influenced teachers' intention and behavior, and that technostress moderated the intention-behavior relationship. The study also identified the heterogeneity of GLA usage among teachers with different individual characteristics.

COMPUTERS & EDUCATION (2024)

Article Computer Science, Interdisciplinary Applications

Supporting the monitoring of the digital capacity of schools through optimal shortening of the SELFIE tool

Romina Cachia, Artur Pokropek, Nikoleta Giannoutsou

Summary: This article introduces a shortened version of the European Commission's SELFIE tool for measuring the digital capacity of schools. Two shorter measurement instruments, called midi-SELFIE and mini-SELFIE, are proposed based on the original tool. The validity and uses of these shortened versions are explored through various cases and compared to the complete instrument. The results suggest that the shortened versions of SELFIE are reliable alternatives for specific purposes.

COMPUTERS & EDUCATION (2024)