What is he best known for?
The fields of study he is best known for:
- Law
- Mathematics education
- Social science
Mathematics education, Educational technology, Primary education, Academic achievement and Computer-Assisted Instruction are his primary areas of study.
His studies deal with areas such as Context and Context effect as well as Mathematics education.
His Educational technology research integrates issues from Management science, Relevance, Information processing, Similarity and External validity.
His work carried out in the field of Primary education brings together such families of science as Disadvantaged, Excellence, Learning community, Educational research and Program evaluation.
Within one scientific family, Steven M. Ross focuses on topics pertaining to Task under Academic achievement, and may sometimes address concerns connected to Social psychology and Writing assessment.
His studies in Computer-Assisted Instruction integrate themes in fields like Control, Cognitive psychology and Multiple choice.
His most cited work include:
- Designing Effective Instruction (886 citations)
- When Each One Has One: The Influences on Teaching Strategies and Student Achievement of Using Laptops in the Classroom. (178 citations)
- Success for All: A Summary of Research (159 citations)
What are the main themes of his work throughout his whole career to date?
Steven M. Ross mostly deals with Mathematics education, Pedagogy, Academic achievement, Educational technology and Teaching method.
The various areas that Steven M. Ross examines in his Mathematics education study include Higher education, Achievement test and Reading.
His Pedagogy study combines topics from a wide range of disciplines, such as Restructuring and Medical education.
His Student achievement study in the realm of Academic achievement connects with subjects such as Cohort.
His Educational technology research includes themes of Management science and Engineering ethics.
In his research, Formative assessment is intimately related to Instructional design, which falls under the overarching field of Computer-Assisted Instruction.
He most often published in these fields:
- Mathematics education (49.47%)
- Pedagogy (24.74%)
- Academic achievement (24.21%)
What were the highlights of his more recent work (between 2009-2021)?
- Mathematics education (49.47%)
- Pedagogy (24.74%)
- Educational technology (20.53%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Mathematics education, Pedagogy, Educational technology, Medical education and Professional development.
His work in Mathematics education is not limited to one particular discipline; it also encompasses Reading.
His study in the field of Academic achievement and School culture also crosses realms of Principal and Northern ireland.
His Educational technology research is multidisciplinary, relying on both Coaching, Higher education, Teaching method and Engineering ethics.
His Medical education study combines topics in areas such as Cluster randomised controlled trial, Early literacy, Program evaluation and Learning community.
The various areas that Steven M. Ross examines in his Professional development study include Focus group, Knowledge management and Diffusion of innovations.
Between 2009 and 2021, his most popular works were:
- Educational Technology Research Past and Present: Balancing Rigor and Relevance to Impact School Learning (154 citations)
- Pattern of Classroom Activities during Students' Use of Computers: Relations between Instructional Strategies and Computer Applications. (80 citations)
- Do One-to-One Initiatives Bridge the Way to 21st Century Knowledge and Skills? (70 citations)
In his most recent research, the most cited papers focused on:
- Law
- Social science
- Mathematics education
His main research concerns Mathematics education, Pedagogy, Educational technology, Academic achievement and Social emotional learning.
He interconnects Applied research and Generalizability theory in the investigation of issues within Mathematics education.
His Independent study, Teaching method and Active learning study in the realm of Pedagogy interacts with subjects such as Word processing and Educational software.
His Educational technology research is multidisciplinary, relying on both School learning, Engineering ethics and Knowledge management.
His study focuses on the intersection of Academic achievement and fields such as Instructional leadership with connections in the field of Capacity building, Library science and National Honor Society.
His studies in Social emotional learning integrate themes in fields like Control and At-risk students.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
