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The Olin curriculum: thinking toward the future
TLDR
The broad outlines of the Olin curriculum are described, which incorporates the best practices from many other institutions as well as new ideas and approaches in an attempt to address the future of engineering education. Expand
Self-regulation and autonomy in problem- and project-based learning environments
Investigations of the relationships between contexts in which learning occurs and students’ behaviours, cognitions and motivations may further our understanding of how instruction is related toExpand
The Effect of Different Active Learning Environments on Student Outcomes Related to Lifelong Learning
Calls for educational reform emphasize the need for students to develop a capacity for lifelong learning. Lifelong learners may becharacterized as curious, motivated, reflective, analytical,Expand
The Four-Domain Development Diagram: A Guide for Holistic Design of Effective Learning Experiences for the Twenty-first Century Engineer
The twenty-first century challenges engineering educators to design learning experiences to strategically and holistically target students' development, including cognitive, psychomotor, social andExpand
Can disciplinary integration promote students’ lifelong learning attitudes and skills in project-based engineering courses?
Today’s engineering graduates face an evolution of global priorities that places a greater emphasis upon sustainability,community, and well being. Overcoming the complex challenges of this shift willExpand
Student motivations as predictors of high-level cognitions in project-based classrooms
It is well established that active learning helps students engage in high-level thinking strategies and develop improved cognitive skills. Motivation and self-regulated learning research, however,Expand
The students are unstable! Cluster analysis of motivation and early implications for educational research and practice
  • Alex Dillon, J. Stolk
  • Psychology, Computer Science
  • Frontiers in Education Conference Proceedings
  • 3 October 2012
TLDR
This paper explores student motivation using cluster analysis, a quantitative method that has been proven useful in examining group-based motivational profiles within academic settings, and applies a range of clustering techniques to a data set comprising motivational survey responses of undergraduate engineering students at three different colleges. Expand
Role of faculty in promoting lifelong learning: Characterizing classroom environments
Calls for educational reform emphasize the need for student-centered learning approaches that foster lifelong learning. To be a lifelong learner includes characteristics consistent with those ofExpand
Application of Self-Determination and Self-Regulation Theories to Course Design: Planting the Seeds for Adaptive Expertise
The paper is grounded in the premise that learning occurs within a dynamic system of social and ecological interactions in the learningenvironment. Our intent is to open the conversation about howExpand
A Systemic Model of Development: Strategically Enhancing Students' Cognitive, Psychomotor, Affective and Social Development
The challenges of the 21st century create an imperative for engineering educators: to design learning experiences that result in engineering professionals with a sophisticated level of cognitive,Expand
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